Author: "Willcock, Simon" / Publication Type: Electronic Resources - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Willcock, Simon"' showing total 110 results

Start Over Author "Willcock, Simon" Publication Type Electronic Resources

110 results on '"Willcock, Simon"'

1. Towards a better future for biodiversity and people : Modelling Nature Futures

Author: Kim, HyeJin, Peterson, Garry, Cheung, William W. L., Ferrier, Simon, Alkemade, Rob, Arneth, Almut, Kuiper, Jan J., Okayasu, Sana, Pereira, Laura, Acosta, Lilibeth A., Chaplin-Kramer, Rebecca, den Belder, Eefje, Eddy, Tyler D., Johnson, Justin A., Karlsson-Vinkhuyzen, Sylvia, Kok, Marcel T. J., Leadley, Paul, Leclere, David, Lundquist, Carolyn J., Rondinini, Carlo, Scholes, Robert J., Schoolenberg, Machteld A., Shin, Yunne-Jai, Stehfest, Elke, Stephenson, Fabrice, Visconti, Piero, van Vuuren, Detlef, Wabnitz, Colette C. C., Alava, Juan Jose, Cuadros-Casanova, Ivon, Davies, Kathryn K., Gasalla, Maria A., Halouani, Ghassen, Harfoot, Mike, Hashimoto, Shizuka, Hickler, Thomas, Hirsch, Tim, Kolomytsev, Grigory, Miller, Brian W., Ohashi, Haruka, Palomo, Maria Gabriela, Popp, Alexander, Remme, Roy Paco, Saito, Osamu, Sumalia, U. Rashid, Willcock, Simon, Pereira, Henrique M., Kim, HyeJin, Peterson, Garry, Cheung, William W. L., Ferrier, Simon, Alkemade, Rob, Arneth, Almut, Kuiper, Jan J., Okayasu, Sana, Pereira, Laura, Acosta, Lilibeth A., Chaplin-Kramer, Rebecca, den Belder, Eefje, Eddy, Tyler D., Johnson, Justin A., Karlsson-Vinkhuyzen, Sylvia, Kok, Marcel T. J., Leadley, Paul, Leclere, David, Lundquist, Carolyn J., Rondinini, Carlo, Scholes, Robert J., Schoolenberg, Machteld A., Shin, Yunne-Jai, Stehfest, Elke, Stephenson, Fabrice, Visconti, Piero, van Vuuren, Detlef, Wabnitz, Colette C. C., Alava, Juan Jose, Cuadros-Casanova, Ivon, Davies, Kathryn K., Gasalla, Maria A., Halouani, Ghassen, Harfoot, Mike, Hashimoto, Shizuka, Hickler, Thomas, Hirsch, Tim, Kolomytsev, Grigory, Miller, Brian W., Ohashi, Haruka, Palomo, Maria Gabriela, Popp, Alexander, Remme, Roy Paco, Saito, Osamu, Sumalia, U. Rashid, Willcock, Simon, and Pereira, Henrique M.
Abstract: The Nature Futures Framework (NFF) is a heuristic tool for co-creating positive futures for nature and people. It seeks to open up a diversity of futures through mainly three value perspectives on nature - Nature for Nature, Nature for Society, and Nature as Culture. This paper describes how the NFF can be applied in modelling to support decision-making. First, we describe key considerations for the NFF in developing qualitative and quantitative scenarios: i) multiple value perspectives on nature as a state space where pathways improving nature toward a frontier can be represented, ii) mutually reinforcing key feedbacks of social-ecological systems that are important for nature conservation and human wellbeing, iii) indicators of multiple knowledge systems describing the evolution of complex social-ecological dynamics. We then present three approaches to modelling Nature Futures scenarios in the review, screening, and design phases of policy processes. This paper seeks to facilitate the integration of relational values of nature in models and strengthen modelled linkages across biodiversity, nature's contributions to people, and quality of life.
Published: 2023
Full Text: View/download PDF

2. National scale mapping of supply and demand for recreational ecosystem services

Author: Hooftman, Danny A.P., Ridding, Lucy E., Redhead, John W., Willcock, Simon, Hooftman, Danny A.P., Ridding, Lucy E., Redhead, John W., and Willcock, Simon
Abstract: Cultural ecosystem services (CES) are often underrepresented in ecosystem service assessments, despite the importance of these benefits. Recreation is often used to represent CES, however identifying, quantifying, and mapping these services continues to be a challenge. In this study, we develop a national CES map predicting recreation demand (e.g. walking, hiking, cycling) for the United Kingdom (UK). Recreation demand is calculated as the number of projected visits for local recreation, estimated using the universal law of human mobility which accounts for the attractiveness of an area. Recreation demand was found to be the greatest in areas surrounding high population centres, compared with protected sites which were deemed more attractive but were in more remote areas. This pattern was most pronounced when evaluating weekly visits, but was still evident where the visit frequency was reduced to annual. In this study, we also evaluate whether this demand is met for recreation by assessing the presence of paths. The mean for met demand (paths present) was 4.5 times greater than unmet demand (paths absent) for yearly visits across the UK. Generally, in the areas of highest demand close to populated centres, paths were present, making 84% of all yearly recreational demand met by path infrastructure. However, paths are lacking from 42% of the UK, with some of these areas coinciding with higher recreation demand, for example in the northeast and parts of Wales. Our study therefore highlights not only where the recreation demand is highest and access should be maintained, but also where demand for recreation exists but the infrastructure including paths are not present, and therefore has the potential to be improved. This information is useful for policy makers and land managers, as it allows areas to be prioritised for the maintenance and improvement of recreation provision under new land management policy.
Published: 2023

3. Using a multi‐lens framework for landscape decisions

Author: Cole, Beth, Bradley, Andrew V., Willcock, Simon, Gardner, Emma, Allinson, Ewan, Hagen‐Zanker, Alex, Calo, Adam J., Touza, Julia, Petrovskii, Sergei, Yu, Jingyan, Whelan, Mick, Cole, Beth, Bradley, Andrew V., Willcock, Simon, Gardner, Emma, Allinson, Ewan, Hagen‐Zanker, Alex, Calo, Adam J., Touza, Julia, Petrovskii, Sergei, Yu, Jingyan, and Whelan, Mick
Abstract: 1. Landscape decisions are multi-faceted. Framing landscape decision-making as a governance process that requires a collective approach can encourage key stakeholders to come together to co-inform a discussion about their priorities and what constitutes good governance, leading to more holistic landscape decisions. 2. In this paper, we recognise that a suite of complementary and multi-dimensional approaches are in practice used to inform and evaluate land use decisions. We have called these approaches ‘lenses’ because they each provide a different perspective on the same problem. The four lenses are (i) power and market gain, (ii) ecosystem services, (iii) place-based identity and (iv) ecocentric. Each brings a different set of evidence and viewpoints (narrative, qualitative and experiential, as well as quantitative metrics such as monetary) to the decision-making process and can potentially reveal problems and solutions that others do not. 3. Considering all lenses together allows dialogue to take place which can reveal the true complexities of landscape decision-making and can facilitate more effective and more holistic decisions. Employing the lenses requires governance structures that give equal weight to all lenses, enable dialogue and coexistence between top down and bottom-up approaches, and permit adaptation to local and granular place-specifics rather than developing “one-size-fits-all” solutions. 4. We propose that formalising the process of balancing all the lenses requires public participation, and that a lens approach should be used to support landscape decisions alongside a checklist that facilitates transparency in the conversation, showing how all evidence has been considered and critically assessed.
Published: 2023

4. Model ensembles of ecosystem services fill global certainty and capacity gaps

Author: Willcock, Simon, Hooftman, Danny A.P., Neugarten, Rachel A., Chaplin-Kramer, Rebecca, Barredo, José I., Hickler, Thomas, Kindermann, Georg, Lewis, Amy R., Lindeskog, Mats, Martínez-López, Javier, Bullock, James M., Willcock, Simon, Hooftman, Danny A.P., Neugarten, Rachel A., Chaplin-Kramer, Rebecca, Barredo, José I., Hickler, Thomas, Kindermann, Georg, Lewis, Amy R., Lindeskog, Mats, Martínez-López, Javier, and Bullock, James M.
Abstract: Sustaining ecosystem services (ES) critical to human well-being is hindered by many practitioners lacking access to ES models (“the capacity gap”) or knowledge of the accuracy of available models (“the certainty gap”), especially in the world’s poorer regions. We developed ensembles of multiple models at an unprecedented global scale for five ES of high policy relevance. Ensembles were 2 to 14% more accurate than individual models. Ensemble accuracy was not correlated with proxies for research capacity, indicating that accuracy is distributed equitably across the globe and that countries less able to research ES suffer no accuracy penalty. By making these ES ensembles and associated accuracy estimates freely available, we provide globally consistent ES information that can support policy and decision-making in regions with low data availability or low capacity for implementing complex ES models. Thus, we hope to reduce the capacity and certainty gaps impeding local- to global-scale movement toward ES sustainability.
Published: 2023

5. Inequitable Gains and Losses from Conservation in a Global Biodiversity Hotspot

Author: Platts, Philip J., Schaafsma, Marije, Turner, R. Kerry, Burgess, Neil D., Fisher, Brendan, Mbilinyi, Boniface P., Munishi, Pantaleo K. T., Ricketts, Taylor H., Swetnam, Ruth D., Ahrends, Antje, Ashagre, Biniam B., Bayliss, Julian, Gereau, Roy E., Green, Jonathan M. H., Green, Rhys E., Jeha, Lena, Lewis, Simon L., Marchant, Rob, Marshall, Andrew R., Morse-Jones, Sian, Mwakalila, Shadrack, Njana, Marco A., Shirima, Deo D., Willcock, Simon, Balmford, Andrew, Platts, Philip J., Schaafsma, Marije, Turner, R. Kerry, Burgess, Neil D., Fisher, Brendan, Mbilinyi, Boniface P., Munishi, Pantaleo K. T., Ricketts, Taylor H., Swetnam, Ruth D., Ahrends, Antje, Ashagre, Biniam B., Bayliss, Julian, Gereau, Roy E., Green, Jonathan M. H., Green, Rhys E., Jeha, Lena, Lewis, Simon L., Marchant, Rob, Marshall, Andrew R., Morse-Jones, Sian, Mwakalila, Shadrack, Njana, Marco A., Shirima, Deo D., Willcock, Simon, and Balmford, Andrew
Abstract: A billion rural people live near tropical forests. Urban populations need them for water, energy and timber. Global society benefits from climate regulation and knowledge embodied in tropical biodiversity. Ecosystem service valuations can incentivise conservation, but determining costs and benefits across multiple stakeholders and interacting services is complex and rarely attempted. We report on a 10-year study, unprecedented in detail and scope, to determine the monetary value implications of conserving forests and woodlands in Tanzania’s Eastern Arc Mountains. Across plausible ranges of carbon price, agricultural yield and discount rate, conservation delivers net global benefits (+US$8.2B present value, 20-year central estimate). Crucially, however, net outcomes diverge widely across stakeholder groups. International stakeholders gain most from conservation (+US$10.1B), while local-rural communities bear substantial net costs (-US$1.9B), with greater inequities for more biologically important forests. Other Tanzanian stakeholders experience conflicting incentives: tourism, drinking water and climate regulation encourage conservation (+US$72M); logging, fuelwood and management costs encourage depletion (-US$148M). Substantial global investment in disaggregating and mitigating local costs (e.g., through boosting smallholder yields) is essential to equitably balance conservation and development objectives.
Published: 2023

6. One Hundred Priority Questions for the Development of Sustainable Food Systems in Sub-Saharan Africa

Author: Devenish, Adam, Schmitter, Petra, Jellason, Nugun, Esmail, Nafeesa, Abdi, Nur, Adanu, Selase, Adolph, Barbara, Al-Zu’bi, Maha, Amali, Amali, Barron, Jennie, Chapman, Abbie, Chausson, Alexandre, Chibesa, Moses, Davies, Joanne, Dugan, Emmanuel, Edwards, Glory, Egeru, Anthony, Gebrehiwot, Tagel, Griffiths, Geoffrey, Haile, Amleset, Hunga, Henry, Igbine, Lizzy, Jarju, Ousman M., Keya, Francis, Khalifa, Muhammad, Ledoux, Wamba, Lejissa, Lemlem, Loupa, Pius, Lwanga, Jonathan, Mapedza, Everisto, Marchant, Robert, McLoud, Tess, Mukuyu, Patience, Musah, Labram, Mwanza, Morton, Mwitwa, Jacob, Neina, Dora, Newbold, Tim, Njogo, Samuel, Robinson, Elizabeth, Singini, Wales, Umar, Bridget, Wesonga, Frank, Willcock, Simon, Yang, Jingyi, Tobias, Joseph, Devenish, Adam, Schmitter, Petra, Jellason, Nugun, Esmail, Nafeesa, Abdi, Nur, Adanu, Selase, Adolph, Barbara, Al-Zu’bi, Maha, Amali, Amali, Barron, Jennie, Chapman, Abbie, Chausson, Alexandre, Chibesa, Moses, Davies, Joanne, Dugan, Emmanuel, Edwards, Glory, Egeru, Anthony, Gebrehiwot, Tagel, Griffiths, Geoffrey, Haile, Amleset, Hunga, Henry, Igbine, Lizzy, Jarju, Ousman M., Keya, Francis, Khalifa, Muhammad, Ledoux, Wamba, Lejissa, Lemlem, Loupa, Pius, Lwanga, Jonathan, Mapedza, Everisto, Marchant, Robert, McLoud, Tess, Mukuyu, Patience, Musah, Labram, Mwanza, Morton, Mwitwa, Jacob, Neina, Dora, Newbold, Tim, Njogo, Samuel, Robinson, Elizabeth, Singini, Wales, Umar, Bridget, Wesonga, Frank, Willcock, Simon, Yang, Jingyi, and Tobias, Joseph
Abstract: Sub-Saharan Africa is facing an expected doubling of human population and tripling of food demand over the next quarter century, posing a range of severe environmental, political, and socio-economic challenges. In some cases, key Sustainable Development Goals (SDGs) are in direct conflict, raising difficult policy and funding decisions, particularly in relation to trade-offs between food production, social inequality, and ecosystem health. In this study, we used a horizon-scanning approach to identify 100 practical or research-focused questions that, if answered, would have the greatest positive impact on addressing these trade-offs and ensuring future productivity and resilience of food-production systems across sub-Saharan Africa. Through direct canvassing of opinions, we obtained 1339 questions from 331 experts based in 55 countries. We then used online voting and participatory workshops to produce a final list of 100 questions divided into 12 thematic sections spanning topics from gender inequality to technological adoption and climate change. Using data on the background of respondents, we show that perspectives and priorities can vary, but they are largely consistent across different professional and geographical contexts. We hope these questions provide a template for establishing new research directions and prioritising funding decisions in sub-Saharan Africa.
Published: 2023

7. Towards a better future for biodiversity and people : Modelling Nature Futures

Author: Kim, Hye Jin, Peterson, Garry D., Cheung, William W.L., Ferrier, Simon, Alkemade, Rob, Arneth, Almut, Kuiper, Jan J., Okayasu, Sana, Pereira, Laura, Acosta, Lilibeth A., Chaplin-Kramer, Rebecca, den Belder, Eefje, Eddy, Tyler D., Johnson, Justin A., Karlsson-Vinkhuyzen, Sylvia, Kok, Marcel T.J., Leadley, Paul, Leclère, David, Lundquist, Carolyn J., Rondinini, Carlo, Scholes, Robert J., Schoolenberg, Machteld A., Shin, Yunne Jai, Stehfest, Elke, Stephenson, Fabrice, Visconti, Piero, van Vuuren, Detlef, Wabnitz, Colette C.C., José Alava, Juan, Cuadros-Casanova, Ivon, Davies, Kathryn K., Gasalla, Maria A., Halouani, Ghassen, Harfoot, Mike, Hashimoto, Shizuka, Hickler, Thomas, Hirsch, Tim, Kolomytsev, Grigory, Miller, Brian W., Ohashi, Haruka, Gabriela Palomo, Maria, Popp, Alexander, Paco Remme, Roy, Saito, Osamu, Rashid Sumalia, U., Willcock, Simon, Pereira, Henrique M., Kim, Hye Jin, Peterson, Garry D., Cheung, William W.L., Ferrier, Simon, Alkemade, Rob, Arneth, Almut, Kuiper, Jan J., Okayasu, Sana, Pereira, Laura, Acosta, Lilibeth A., Chaplin-Kramer, Rebecca, den Belder, Eefje, Eddy, Tyler D., Johnson, Justin A., Karlsson-Vinkhuyzen, Sylvia, Kok, Marcel T.J., Leadley, Paul, Leclère, David, Lundquist, Carolyn J., Rondinini, Carlo, Scholes, Robert J., Schoolenberg, Machteld A., Shin, Yunne Jai, Stehfest, Elke, Stephenson, Fabrice, Visconti, Piero, van Vuuren, Detlef, Wabnitz, Colette C.C., José Alava, Juan, Cuadros-Casanova, Ivon, Davies, Kathryn K., Gasalla, Maria A., Halouani, Ghassen, Harfoot, Mike, Hashimoto, Shizuka, Hickler, Thomas, Hirsch, Tim, Kolomytsev, Grigory, Miller, Brian W., Ohashi, Haruka, Gabriela Palomo, Maria, Popp, Alexander, Paco Remme, Roy, Saito, Osamu, Rashid Sumalia, U., Willcock, Simon, and Pereira, Henrique M.
Abstract: The Nature Futures Framework (NFF) is a heuristic tool for co-creating positive futures for nature and people. It seeks to open up a diversity of futures through mainly three value perspectives on nature – Nature for Nature, Nature for Society, and Nature as Culture. This paper describes how the NFF can be applied in modelling to support decision-making. First, we describe key considerations for the NFF in developing qualitative and quantitative scenarios: i) multiple value perspectives on nature as a state space where pathways improving nature toward a frontier can be represented, ii) mutually reinforcing key feedbacks of social-ecological systems that are important for nature conservation and human wellbeing, iii) indicators of multiple knowledge systems describing the evolution of complex social-ecological dynamics. We then present three approaches to modelling Nature Futures scenarios in the review, screening, and design phases of policy processes. This paper seeks to facilitate the integration of relational values of nature in models and strengthen modelled linkages across biodiversity, nature's contributions to people, and quality of life.
Published: 2023

8. Mapping to explore the challenges and opportunities for reconciling artisanal gem mining and biodiversity conservation

Author: Devenish, Katie, Goodenough, Kathryn, Jones, Julia.P.G., Ratsimba, Harifidy Rakoto, Willcock, Simon, Devenish, Katie, Goodenough, Kathryn, Jones, Julia.P.G., Ratsimba, Harifidy Rakoto, and Willcock, Simon
Abstract: Artisanal and small-scale mining (ASM) provides a vitally important livelihood for millions of people in many low- and middle-income countries. ASM can result in habitat clearance, increased hunting pressure, pollution, and sedimentation of waterways. Consequently, where mineral and biological wealth coincide, there are trade-offs. Here, we combine geological data with four datasets capturing conservation priorities, to evaluate where, and to what extent, mining may impact biodiversity, and to explore opportunities for both to co-exist. We use Madagascar as a case study: a biodiversity hotspot rich in economically important minerals where artisanal gem mining has conflicted with biodiversity conservation. We identify areas of Madagascar most likely to host primary deposits of gems and find that 11%–14% of the most important area for biodiversity on the island could host primary gem deposits. However, we also identify 7 million hectares (80%) of potentially prospective land which is outside of these areas. Establishing decentralised, community-managed zones for licensed ASM in such areas could help to incentivise formalisation and minimise social and environmental trade-offs. Our mapping approach could be applied in other countries to encourage the establishment of designated zones for ASM in places where mining does not conflict with conservation.
Published: 2023

9. A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps

Author: Araza, Arnan, de Bruin, Sytze, Herold, Martin, Quegan, Shaun, Labriere, Nicolas, Rodriguez-Veiga, Pedro, Avitabile, Valerio, Santoro, Maurizio, Mitchard, Edward T.A., Ryan, Casey M., Phillips, Oliver L., Willcock, Simon, Verbeeck, Hans, Carreiras, João M.B., Hein, Lars, Schelhaas, Mart-Jan, Pacheco-Pascagaza, Ana Maria, da Conceição Bispo, Polyanna, Laurin, Gaia Vaglio, Vieilledent, Ghislain, Slik, J.W. Ferry, Wijaya, Arief, Lewis, Simon L., Morel, Alexandra, Liang, Jingjing, Sukhdeo, Hansrajie, Schepaschenko, Dmitry, Cavlovic, Jura, Gilani, Hammad, Lucas, Richard, Araza, Arnan, de Bruin, Sytze, Herold, Martin, Quegan, Shaun, Labriere, Nicolas, Rodriguez-Veiga, Pedro, Avitabile, Valerio, Santoro, Maurizio, Mitchard, Edward T.A., Ryan, Casey M., Phillips, Oliver L., Willcock, Simon, Verbeeck, Hans, Carreiras, João M.B., Hein, Lars, Schelhaas, Mart-Jan, Pacheco-Pascagaza, Ana Maria, da Conceição Bispo, Polyanna, Laurin, Gaia Vaglio, Vieilledent, Ghislain, Slik, J.W. Ferry, Wijaya, Arief, Lewis, Simon L., Morel, Alexandra, Liang, Jingjing, Sukhdeo, Hansrajie, Schepaschenko, Dmitry, Cavlovic, Jura, Gilani, Hammad, and Lucas, Richard
Abstract: Over the past decade, several global maps of above-ground biomass (AGB) have been produced, but they exhibit significant differences that reduce their value for climate and carbon cycle modelling, and also for national estimates of forest carbon stocks and their changes. The number of such maps is anticipated to increase because of new satellite missions dedicated to measuring AGB. Objective and consistent methods to estimate the accuracy and uncertainty of AGB maps are therefore urgently needed. This paper develops and demonstrates a framework aimed at achieving this. The framework provides a means to compare AGB maps with AGB estimates from a global collection of National Forest Inventories and research plots that accounts for the uncertainty of plot AGB errors. This uncertainty depends strongly on plot size, and is dominated by the combined errors from tree measurements and allometric models (inter-quartile range of their standard deviation (SD) = 30–151 Mg ha−1). Estimates of sampling errors are also important, especially in the most common case where plots are smaller than map pixels (SD = 16–44 Mg ha−1). Plot uncertainty estimates are used to calculate the minimum-variance linear unbiased estimates of the mean forest AGB when averaged to 0.1∘. These are used to assess four AGB maps: Baccini (2000), GEOCARBON (2008), GlobBiomass (2010) and CCI Biomass (2017). Map bias, estimated using the differences between the plot and 0.1∘ map averages, is modelled using random forest regression driven by variables shown to affect the map estimates. The bias model is particularly sensitive to the map estimate of AGB and tree cover, and exhibits strong regional biases. Variograms indicate that AGB map errors have map-specific spatial correlation up to a range of 50–104 km, which increases the variance of spatially aggregated AGB map estimates compared to when pixel errors are independent. After bias adjustment, total pantropical AGB and its associated SD are derived for the f
Published: 2022

10. Reducing uncertainty in ecosystem service modelling through weighted ensembles

Author: Hooftman, Danny A.P., Bullock, James M., Jones, Laurence, Eigenbrod, Felix, Barredo, José I., Forrest, Matthew, Kindermann, Georg, Thomas, Amy, Willcock, Simon, Hooftman, Danny A.P., Bullock, James M., Jones, Laurence, Eigenbrod, Felix, Barredo, José I., Forrest, Matthew, Kindermann, Georg, Thomas, Amy, and Willcock, Simon
Abstract: Over the last decade many ecosystem service (ES) models have been developed to inform sustainable land and water use planning. However, uncertainty in the predictions of any single model in any specific situation can undermine their utility for decision-making. One solution is creating ensemble predictions, which potentially increase accuracy, but how best to create ES ensembles to reduce uncertainty is unknown and untested. Using ten models for carbon storage and nine for water supply, we tested a series of ensemble approaches against measured validation data in the UK. Ensembles had at minimum a 5–17% higher accuracy than a randomly selected individual model and, in general, ensembles weighted for among model consensus provided better predictions than unweighted ensembles. To support robust decision-making for sustainable development and reducing uncertainty around these decisions, our analysis suggests various ensemble methods should be applied depending on data quality, for example if validation data are available.
Published: 2022

11. High aboveground carbon stock of African tropical montane forests

Author: Cuni-Sanchez, Aida, Sullivan, Martin J.P., Platts, Philip J., Lewis, Simon L., Marchant, Rob, Imani, Gérard, Hubau, Wannes, Abiem, Iveren, Adhikari, Hari, Albrecht, Tomas, Altman, Jan, Amani, Christian, Aneseyee, Abreham B., Avitabile, Valerio, Banin, Lindsay, Batumike, Rodrigue, Bauters, Marijn, Beeckman, Hans, Begne, Serge K., Bennett, Amy C., Bitariho, Robert, Boeckx, Pascal, Bogaert, Jan, Bräuning, Achim, Bulonvu, Franklin, Burgess, Neil D., Calders, Kim, Chapman, Colin, Chapman, Hazel, Comiskey, James, de Haulleville, Thales, Decuyper, Mathieu, DeVries, Ben, Dolezal, Jiri, Droissart, Vincent, Ewango, Corneille, Feyera, Senbeta, Gebrekirstos, Aster, Gereau, Roy, Gilpin, Martin, Hakizimana, Dismas, Hall, Jefferson, Hamilton, Alan, Hardy, Olivier, Hart, Terese, Heiskanen, Janne, Hemp, Andreas, Herold, Martin, Hiltner, Ulrike, Horak, David, Kamdem, Marie-Noel, Kayijamahe, Charles, Kenfack, David, Kinyanjui, Mwangi J., Klein, Julia, Lisingo, Janvier, Lovett, Jon, Lung, Mark, Makana, Jean-Remy, Malhi, Yadvinder, Marshall, Andrew, Martin, Emanuel H., Mitchard, Edward T.A., Morel, Alexandra, Mukendi, John T., Muller, Tom, Nchu, Felix, Nyirambangutse, Brigitte, Okello, Joseph, Peh, Kelvin S.-H., Pellikka, Petri, Phillips, Oliver L., Plumptre, Andrew, Qie, Lan, Rovero, Francesco, Sainge, Moses N., Schmitt, Christine B., Sedlacek, Ondrej, Ngute, Alain S.K., Sheil, Douglas, Sheleme, Demisse, Simegn, Tibebu Y., Simo-Droissart, Murielle, Sonké, Bonaventure, Soromessa, Teshome, Sunderland, Terry, Svoboda, Miroslav, Taedoumg, Hermann, Taplin, James, Taylor, David, Thomas, Sean C., Timberlake, Jonathan, Tuagben, Darlington, Umunay, Peter, Uzabaho, Eustrate, Verbeeck, Hans, Vleminckx, Jason, Wallin, Göran, Wheeler, Charlotte, Willcock, Simon, Woods, John T., Zibera, Etienne, Cuni-Sanchez, Aida, Sullivan, Martin J.P., Platts, Philip J., Lewis, Simon L., Marchant, Rob, Imani, Gérard, Hubau, Wannes, Abiem, Iveren, Adhikari, Hari, Albrecht, Tomas, Altman, Jan, Amani, Christian, Aneseyee, Abreham B., Avitabile, Valerio, Banin, Lindsay, Batumike, Rodrigue, Bauters, Marijn, Beeckman, Hans, Begne, Serge K., Bennett, Amy C., Bitariho, Robert, Boeckx, Pascal, Bogaert, Jan, Bräuning, Achim, Bulonvu, Franklin, Burgess, Neil D., Calders, Kim, Chapman, Colin, Chapman, Hazel, Comiskey, James, de Haulleville, Thales, Decuyper, Mathieu, DeVries, Ben, Dolezal, Jiri, Droissart, Vincent, Ewango, Corneille, Feyera, Senbeta, Gebrekirstos, Aster, Gereau, Roy, Gilpin, Martin, Hakizimana, Dismas, Hall, Jefferson, Hamilton, Alan, Hardy, Olivier, Hart, Terese, Heiskanen, Janne, Hemp, Andreas, Herold, Martin, Hiltner, Ulrike, Horak, David, Kamdem, Marie-Noel, Kayijamahe, Charles, Kenfack, David, Kinyanjui, Mwangi J., Klein, Julia, Lisingo, Janvier, Lovett, Jon, Lung, Mark, Makana, Jean-Remy, Malhi, Yadvinder, Marshall, Andrew, Martin, Emanuel H., Mitchard, Edward T.A., Morel, Alexandra, Mukendi, John T., Muller, Tom, Nchu, Felix, Nyirambangutse, Brigitte, Okello, Joseph, Peh, Kelvin S.-H., Pellikka, Petri, Phillips, Oliver L., Plumptre, Andrew, Qie, Lan, Rovero, Francesco, Sainge, Moses N., Schmitt, Christine B., Sedlacek, Ondrej, Ngute, Alain S.K., Sheil, Douglas, Sheleme, Demisse, Simegn, Tibebu Y., Simo-Droissart, Murielle, Sonké, Bonaventure, Soromessa, Teshome, Sunderland, Terry, Svoboda, Miroslav, Taedoumg, Hermann, Taplin, James, Taylor, David, Thomas, Sean C., Timberlake, Jonathan, Tuagben, Darlington, Umunay, Peter, Uzabaho, Eustrate, Verbeeck, Hans, Vleminckx, Jason, Wallin, Göran, Wheeler, Charlotte, Willcock, Simon, Woods, John T., and Zibera, Etienne
Abstract: Tropical forests store 40–50 per cent of terrestrial vegetation carbon. However, spatial variations in aboveground live tree biomass carbon (AGC) stocks remain poorly understood, in particular in tropical montane forests. Owing to climatic and soil changes with increasing elevation, AGC stocks are lower in tropical montane forests compared with lowland forests. Here we assemble and analyse a dataset of structurally intact old-growth forests (AfriMont) spanning 44 montane sites in 12 African countries. We find that montane sites in the AfriMont plot network have a mean AGC stock of 149.4 megagrams of carbon per hectare (95% confidence interval 137.1–164.2), which is comparable to lowland forests in the African Tropical Rainforest Observation Network and about 70 per cent and 32 per cent higher than averages from plot networks in montane and lowland forests in the Neotropics, respectively. Notably, our results are two-thirds higher than the Intergovernmental Panel on Climate Change default values for these forests in Africa. We find that the low stem density and high abundance of large trees of African lowland forests is mirrored in the montane forests sampled. This carbon store is endangered: we estimate that 0.8 million hectares of old-growth African montane forest have been lost since 2000. We provide country-specific montane forest AGC stock estimates modelled from our plot network to help to guide forest conservation and reforestation interventions. Our findings highlight the need for conserving these biodiverse and carbon-rich ecosystems.
Published: 2021

12. Towards a better future for biodiversity and people: modelling Nature Futures

Author: Environmental Governance, Environmental Sciences, Kim, HyeJin, Peterson, Garry, Cheung, William, Ferrier, Simon, Alkemade, Rob, Arneth, Almut, Kuiper, Jan, Okayasu, Sana, Pereira, Laura M., Acosta, Lilibeth A., chaplin-kramer, rebecca, Belder, Eefje den, Eddy, Tyler, Johnson, Justin, Karlsson-Vinkhuysen, Sylvia, Kok, Marcel, Leadley, Paul, Leclère, David, Lundquist, Carolyn J., Rondinini, Carlo, Scholes, Robert J., Schoolenberg, Machteld, Shin, Yunne-Jai, Stehfest, Elke, Stephenson, Fabrice, Visconti, Piero, Vuuren, Detlef P. van, Wabnitz, Colette C., Alava, Juan José, Cuadros-Casanova, Ivon, Gasalla, Maria A., Halouani, Ghassen, Harfoot, Michael B. J., Hashimoto, Shizuka, Hickler, Thomas, Hirsch, Tim, Kolomytsev, Grigory, Miller, Brian, Ohashi, Haruka, Palomo, Maria Gabriela, Popp, Alexander, Remme, Roy Paco, Saito, Osamu, Sumaila, Rashid, Willcock, Simon, Pereira, Henrique, Environmental Governance, Environmental Sciences, Kim, HyeJin, Peterson, Garry, Cheung, William, Ferrier, Simon, Alkemade, Rob, Arneth, Almut, Kuiper, Jan, Okayasu, Sana, Pereira, Laura M., Acosta, Lilibeth A., chaplin-kramer, rebecca, Belder, Eefje den, Eddy, Tyler, Johnson, Justin, Karlsson-Vinkhuysen, Sylvia, Kok, Marcel, Leadley, Paul, Leclère, David, Lundquist, Carolyn J., Rondinini, Carlo, Scholes, Robert J., Schoolenberg, Machteld, Shin, Yunne-Jai, Stehfest, Elke, Stephenson, Fabrice, Visconti, Piero, Vuuren, Detlef P. van, Wabnitz, Colette C., Alava, Juan José, Cuadros-Casanova, Ivon, Gasalla, Maria A., Halouani, Ghassen, Harfoot, Michael B. J., Hashimoto, Shizuka, Hickler, Thomas, Hirsch, Tim, Kolomytsev, Grigory, Miller, Brian, Ohashi, Haruka, Palomo, Maria Gabriela, Popp, Alexander, Remme, Roy Paco, Saito, Osamu, Sumaila, Rashid, Willcock, Simon, and Pereira, Henrique
Published: 2021

13. Taking the pulse of Earth's tropical forests using networks of highly distributed plots

Author: Sub Algemeen Biologie, Sub Animal Behaviour and Cognition, Sub Ecology and Biodiversity, Animal Behaviour and Cognition, Ecology and Biodiversity, Forest, Plots net, Blundo, Cecilia, Carilla, Julieta, Grau, Ricardo, Malizia, Agustina, Malizia, Lucio, Osinaga-Acosta, Oriana, Bird, Michael, Bradford, Matt, Catchpole, Damien, Ford, Andrew, Graham, Andrew, Hilbert, David, Kemp, Jeanette, Laurance, Susan, Laurance, William, Ishida, Francoise Yoko, Marshall, Andrew, Waite, Catherine, Woell, Hannsjoerg, Bastin, Jean Francois, Bauters, Marijn, Beeckman, Hans, Boeckx, Pfascal, Bogaert, Jan, De Canniere, Charles, de Haulleville, Thales, Doucet, Jean Louis, Hardy, Olivier, Hubau, Wannes, Kearsley, Elizabeth, Verbeeck, Hans, Vleminckx, Jason, Brewer, Steven W., Alarcón, Alfredo, Araujo-Murakami, Alejandro, Arets, Eric, Arroyo, Luzmila, Chavez, Ezequiel, Fredericksen, Todd, Villaroel, René Guillén, Sibauty, Gloria Gutierrez, Killeen, Timothy, Licona, Juan Carlos, Lleigue, John, Mendoza, Casimiro, Murakami, Samaria, Gutierrez, Alexander Parada, Pardo, Guido, Peña-Claros, Marielos, Poorter, Lourens, Toledo, Marisol, Cayo, Jeanneth Villalobos, Viscarra, Laura Jessica, Vos, Vincent, Ahumada, Jorge, Almeida, Everton, Almeida, Jarcilene, de Oliveira, Edmar Almeida, da Cruz, Wesley Alves, de Oliveira, Atila Alves, Carvalho, Fabrício Alvim, Obermuller, Flávio Amorim, Andrade, Ana, Carvalho, Fernanda Antunes, Vieira, Simone Aparecida, Aquino, Ana Carla, Aragão, Luiz, Araújo, Ana Claudia, Assis, Marco Antonio, Gomes, Jose Ataliba Mantelli Aboin, Baccaro, Fabrício, de Camargo, Plínio Barbosa, Barni, Paulo, Barroso, Jorcely, Bernacci, Luis Carlos, Bordin, Kauane, de Medeiros, Marcelo Brilhante, Broggio, Igor, Camargo, José Luís, Cardoso, Domingos, Carniello, Maria Antonia, Rochelle, Andre Luis Casarin, Castilho, Carolina, Castro, Antonio Alberto Jorge Farias, Castro, Wendeson, Ribeiro, Sabina Cerruto, Costa, Flávia, de Oliveira, Rodrigo Costa, Coutinho, Italo, Cunha, John, da Costa, Lola, da Costa Ferreira, Lucia, da Costa Silva, Richarlly, da Graça Zacarias Simbine, Marta, de Andrade Kamimura, Vitor, de Lima, Haroldo Cavalcante, de Oliveira Melo, Lia, de Queiroz, Luciano, de Sousa Lima, José Romualdo, do Espírito Santo, Mário, Domingues, Tomas, dos Santos Prestes, Nayane Cristina, Carneiro, Steffan Eduardo Silva, Elias, Fernando, Eliseu, Gabriel, Emilio, Thaise, Farrapo, Camila Laís, Fernandes, Letícia, Ferreira, Gustavo, Ferreira, Joice, Ferreira, Leandro, Ferreira, Socorro, Simon, Marcelo Fragomeni, Freitas, Maria Aparecida, García, Queila S., Manzatto, Angelo Gilberto, Graça, Paulo, Guilherme, Frederico, Hase, Eduardo, Higuchi, Niro, Iguatemy, Mariana, Barbosa, Reinaldo Imbrozio, Jaramillo, Margarita, Joly, Carlos, Klipel, Joice, do Amaral, Iêda Leão, Levis, Carolina, Lima, Antonio S., Dan, Maurício Lima, Lopes, Aline, Madeiros, Herison, Magnusson, William E., dos Santos, Rubens Manoel, Marimon, Beatriz, Junior, Ben Hur Marimon, Grillo, Roberta Marotti Martelletti, Martinelli, Luiz, Reis, Simone Matias, Medeiros, Salomão, Meira-Junior, Milton, Metzker, Thiago, Morandi, Paulo, do Nascimento, Natanael Moreira, Moura, Magna, Müller, Sandra Cristina, Nagy, Laszlo, Nascimento, Henrique, Nascimento, Marcelo, Lima, Adriano Nogueira, de Araújo, Raimunda Oliveira, Silva, Jhonathan Oliveira, Pansonato, Marcelo, Sabino, Gabriel Pavan, de Abreu, Karla Maria Pedra, Rodrigues, Pablo José Francisco Pena, Piedade, Maria, Rodrigues, Domingos, Rodrigues Pinto, José Roberto, Quesada, Carlos, Ramos, Eliana, Ramos, Rafael, Rodrigues, Priscyla, de Sousa, Thaiane Rodrigues, Salomão, Rafael, Santana, Flávia, Scaranello, Marcos, Bergamin, Rodrigo Scarton, Schietti, Juliana, Schöngart, Jochen, Schwartz, Gustavo, Silva, Natalino, Silveira, Marcos, Seixas, Cristiana Simão, Simbine, Marta, Souza, Ana Claudia, Souza, Priscila, Souza, Rodolfo, Sposito, Tereza, Junior, Edson Stefani, do Vale, Julio Daniel, Vieira, Ima Célia Guimarães, Villela, Dora, Vital, Marcos, Xaud, Haron, Zanini, Katia, Zartman, Charles Eugene, Ideris, Nur Khalish Hafizhah, Metali, Faizah binti Hj, Salim, Kamariah Abu, Saparudin, Muhd Shahruney, Serudin, Rafizah Mat, Sukri, Rahayu Sukmaria, Begne, Serge, Chuyong, George, Djuikouo, Marie Noel, Gonmadje, Christelle, Simo-Droissart, Murielle, Sonké, Bonaventure, Taedoumg, Hermann, Zemagho, Lise, Thomas, Sean, Baya, Fidèle, Saiz, Gustavo, Espejo, Javier Silva, Chen, Dexiang, Hamilton, Alan, Li, Yide, Luo, Tushou, Niu, Shukui, Xu, Han, Zhou, Zhang, Álvarez-Dávila, Esteban, Escobar, Juan Carlos Andrés, Arellano-Peña, Henry, Duarte, Jaime Cabezas, Calderón, Jhon, Bravo, Lina Maria Corrales, Cuadrado, Borish, Cuadros, Hermes, Duque, Alvaro, Duque, Luisa Fernanda, Espinosa, Sandra Milena, Franke-Ante, Rebeca, García, Hernando, Gómez, Alejandro, González-M., Roy, Idárraga-Piedrahíta, Álvaro, Jimenez, Eliana, Jurado, Rubén, Oviedo, Wilmar López, López-Camacho, René, Cruz, Omar Aurelio Melo, Polo, Irina Mendoza, Paky, Edwin, Pérez, Karen, Pijachi, Angel, Pizano, Camila, Prieto, Adriana, Ramos, Laura, Correa, Zorayda Restrepo, Richardson, James, Rodríguez, Elkin, Rodriguez M., Gina M., Rudas, Agustín, Stevenson, Pablo, Chudomelová, Markéta, Dancak, Martin, Hédl, Radim, Lhota, Stanislav, Svatek, Martin, Mukinzi, Jacques, Ewango, Corneille, Hart, Terese, Yakusu, Emmanuel Kasongo, Lisingo, Janvier, Makana, Jean Remy, Mbayu, Faustin, Toirambe, Benjamin, Mukendi, John Tshibamba, Kvist, Lars, Nebel, Gustav, Báez, Selene, Céron, Carlos, Griffith, Daniel M., Andino, Juan Ernesto Guevara, Neill, David, Palacios, Walter, Peñuela-Mora, Maria Cristina, Rivas-Torres, Gonzalo, Villa, Gorky, Demissie, Sheleme, Gole, Tadesse, Gonfa, Techane, Ruokolainen, Kalle, Baisie, Michel, Bénédet, Fabrice, Betian, Wemo, Bezard, Vincent, Bonal, Damien, Chave, Jerôme, Droissart, Vincent, Gourlet-Fleury, Sylvie, Hladik, Annette, Labrière, Nicolas, Naisso, Pétrus, Réjou-Méchain, Maxime, Sist, Plinio, Blanc, Lilian, Burban, Benoit, Derroire, Géraldine, Dourdain, Aurélie, Stahl, Clement, Bengone, Natacha Nssi, Chezeaux, Eric, Ondo, Fidèle Evouna, Medjibe, Vincent, Mihindou, Vianet, White, Lee, Culmsee, Heike, Rangel, Cristabel Durán, Horna, Viviana, Wittmann, Florian, Adu-Bredu, Stephen, Affum-Baffoe, Kofi, Foli, Ernest, Balinga, Michael, Roopsind, Anand, Singh, James, Thomas, Raquel, Zagt, Roderick, Murthy, Indu K., Kartawinata, Kuswata, Mirmanto, Edi, Priyadi, Hari, Samsoedin, Ismayadi, Sunderland, Terry, Yassir, Ishak, Rovero, Francesco, Vinceti, Barbara, Hérault, Bruno, Aiba, Shin Ichiro, Kitayama, Kanehiro, Daniels, Armandu, Tuagben, Darlington, Woods, John T., Fitriadi, Muhammad, Karolus, Alexander, Khoon, Kho Lip, Majalap, Noreen, Maycock, Colin, Nilus, Reuben, Tan, Sylvester, Sitoe, Almeida, Coronado G., Indiana, Ojo, Lucas, de Assis, Rafael, Poulsen, Axel Dalberg, Sheil, Douglas, Pezo, Karen Arévalo, Verde, Hans Buttgenbach, Moscoso, Victor Chama, Oroche, Jimmy Cesar Cordova, Valverde, Fernando Cornejo, Medina, Massiel Corrales, Cardozo, Nallaret Davila, de Rutte Corzo, Jano, del Aguila Pasquel, Jhon, Llampazo, Gerardo Flores, Freitas, Luis, Cabrera, Darcy Galiano, Villacorta, Roosevelt García, Cabrera, Karina Garcia, Soria, Diego García, Saboya, Leticia Gatica, Rios, Julio Miguel Grandez, Pizango, Gabriel Hidalgo, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Aedo, Yuri Tomas Huillca, Peña, Jose Luis Marcelo, Mendoza, Abel Monteagudo, Rodriguez, Vanesa Moreano, Vargas, Percy Núñez, Ramos, Sonia Cesarina Palacios, Camacho, Nadir Pallqui, Cruz, Antonio Peña, Arevalo, Freddy Ramirez, Huaymacari, José Reyna, Rodriguez, Carlos Reynel, Paredes, Marcos Antonio Ríos, Bayona, Lily Rodriguez, del Pilar Rojas Gonzales, Rocio, Peña, Maria Elena Rojas, Revilla, Norma Salinas, Shareva, Yahn Carlos Soto, Trujillo, Raul Tupayachi, Gamarra, Luis Valenzuela, Martinez, Rodolfo Vasquez, Arenas, Jim Vega, Amani, Christian, Ifo, Suspense Averti, Bocko, Yannick, Boundja, Patrick, Ekoungoulou, Romeo, Hockemba, Mireille, Nzala, Donatien, Fofanah, Alusine, Taylor, David, Bañares-de Dios, Guillermo, Cayuela, Luis, la Cerda, Íñigo Granzow de, Macía, Manuel, Stropp, Juliana, Playfair, Maureen, Wortel, Verginia, Gardner, Toby, Muscarella, Robert, Rutishauser, Ervan, Chao, Kuo Jung, Munishi, Pantaleo, Bánki, Olaf, Bongers, Frans, Boot, Rene, Fredriksson, Gabriella, Reitsma, Jan, ter Steege, Hans, van Andel, Tinde, van de Meer, Peter, van der Hout, Peter, van Nieuwstadt, Mark, van Ulft, Bert, Veenendaal, Elmar, Vernimmen, Ronald, Zuidema, Pieter, Zwerts, Joeri, Akite, Perpetra, Bitariho, Robert, Chapman, Colin, Gerald, Eilu, Leal, Miguel, Mucunguzi, Patrick, Abernethy, Katharine, Alexiades, Miguel, Baker, Timothy R., Banda, Karina, Banin, Lindsay, Barlow, Jos, Bennett, Amy, Berenguer, Erika, Berry, Nicholas, Bird, Neil M., Blackburn, George A., Brearley, Francis, Brienen, Roel, Burslem, David, Carvalho, Lidiany, Cho, Percival, Coelho, Fernanda, Collins, Murray, Coomes, David, Cuni-Sanchez, Aida, Dargie, Greta, Dexter, Kyle, Disney, Mat, Draper, Freddie, Duan, Muying, Esquivel-Muelbert, Adriane, Ewers, Robert, Fadrique, Belen, Fauset, Sophie, Feldpausch, Ted R., França, Filipe, Galbraith, David, Gilpin, Martin, Gloor, Emanuel, Grace, John, Hamer, Keith, Harris, David, Jeffery, Kath, Jucker, Tommaso, Kalamandeen, Michelle, Klitgaard, Bente, Levesley, Aurora, Lewis, Simon L., Lindsell, Jeremy, Lopez-Gonzalez, Gabriela, Lovett, Jon, Malhi, Yadvinder, Marthews, Toby, McIntosh, Emma, Melgaço, Karina, Milliken, William, Mitchard, Edward, Moonlight, Peter, Moore, Sam, Morel, Alexandra, Peacock, Julie, Peh, Kelvin S.H., Pendry, Colin, Pennington, R. Toby, de Oliveira Pereira, Luciana, Peres, Carlos, Phillips, Oliver L., Pickavance, Georgia, Pugh, Thomas, Qie, Lan, Riutta, Terhi, Roucoux, Katherine, Ryan, Casey, Sarkinen, Tiina, Valeria, Camila Silva, Spracklen, Dominick, Stas, Suzanne, Sullivan, Martin, Swaine, Michael, Talbot, Joey, Taplin, James, van der Heijden, Geertje, Vedovato, Laura, Willcock, Simon, Williams, Mathew, Alves, Luciana, Loayza, Patricia Alvarez, Arellano, Gabriel, Asa, Cheryl, Ashton, Peter, Asner, Gregory, Brncic, Terry, Brown, Foster, Burnham, Robyn, Clark, Connie, Comiskey, James, Damasco, Gabriel, Davies, Stuart, Di Fiore, Tony, Erwin, Terry, Farfan-Rios, William, Hall, Jefferson, Kenfack, David, Lovejoy, Thomas, Martin, Roberta, Montiel, Olga Martha, Pipoly, John, Pitman, Nigel, Poulsen, John, Primack, Richard, Silman, Miles, Steininger, Marc, Swamy, Varun, Terborgh, John, Thomas, Duncan, Umunay, Peter, Uriarte, Maria, Torre, Emilio Vilanova, Wang, Ophelia, Young, Kenneth, Aymard C., Gerardo A., Hernández, Lionel, Fernández, Rafael Herrera, Ramírez-Angulo, Hirma, Salcedo, Pedro, Sanoja, Elio, Serrano, Julio, Torres-Lezama, Armando, Le, Tinh Cong, Le, Trai Trong, Tran, Hieu Dang, Sub Algemeen Biologie, Sub Animal Behaviour and Cognition, Sub Ecology and Biodiversity, Animal Behaviour and Cognition, Ecology and Biodiversity, Forest, Plots net, Blundo, Cecilia, Carilla, Julieta, Grau, Ricardo, Malizia, Agustina, Malizia, Lucio, Osinaga-Acosta, Oriana, Bird, Michael, Bradford, Matt, Catchpole, Damien, Ford, Andrew, Graham, Andrew, Hilbert, David, Kemp, Jeanette, Laurance, Susan, Laurance, William, Ishida, Francoise Yoko, Marshall, Andrew, Waite, Catherine, Woell, Hannsjoerg, Bastin, Jean Francois, Bauters, Marijn, Beeckman, Hans, Boeckx, Pfascal, Bogaert, Jan, De Canniere, Charles, de Haulleville, Thales, Doucet, Jean Louis, Hardy, Olivier, Hubau, Wannes, Kearsley, Elizabeth, Verbeeck, Hans, Vleminckx, Jason, Brewer, Steven W., Alarcón, Alfredo, Araujo-Murakami, Alejandro, Arets, Eric, Arroyo, Luzmila, Chavez, Ezequiel, Fredericksen, Todd, Villaroel, René Guillén, Sibauty, Gloria Gutierrez, Killeen, Timothy, Licona, Juan Carlos, Lleigue, John, Mendoza, Casimiro, Murakami, Samaria, Gutierrez, Alexander Parada, Pardo, Guido, Peña-Claros, Marielos, Poorter, Lourens, Toledo, Marisol, Cayo, Jeanneth Villalobos, Viscarra, Laura Jessica, Vos, Vincent, Ahumada, Jorge, Almeida, Everton, Almeida, Jarcilene, de Oliveira, Edmar Almeida, da Cruz, Wesley Alves, de Oliveira, Atila Alves, Carvalho, Fabrício Alvim, Obermuller, Flávio Amorim, Andrade, Ana, Carvalho, Fernanda Antunes, Vieira, Simone Aparecida, Aquino, Ana Carla, Aragão, Luiz, Araújo, Ana Claudia, Assis, Marco Antonio, Gomes, Jose Ataliba Mantelli Aboin, Baccaro, Fabrício, de Camargo, Plínio Barbosa, Barni, Paulo, Barroso, Jorcely, Bernacci, Luis Carlos, Bordin, Kauane, de Medeiros, Marcelo Brilhante, Broggio, Igor, Camargo, José Luís, Cardoso, Domingos, Carniello, Maria Antonia, Rochelle, Andre Luis Casarin, Castilho, Carolina, Castro, Antonio Alberto Jorge Farias, Castro, Wendeson, Ribeiro, Sabina Cerruto, Costa, Flávia, de Oliveira, Rodrigo Costa, Coutinho, Italo, Cunha, John, da Costa, Lola, da Costa Ferreira, Lucia, da Costa Silva, Richarlly, da Graça Zacarias Simbine, Marta, de Andrade Kamimura, Vitor, de Lima, Haroldo Cavalcante, de Oliveira Melo, Lia, de Queiroz, Luciano, de Sousa Lima, José Romualdo, do Espírito Santo, Mário, Domingues, Tomas, dos Santos Prestes, Nayane Cristina, Carneiro, Steffan Eduardo Silva, Elias, Fernando, Eliseu, Gabriel, Emilio, Thaise, Farrapo, Camila Laís, Fernandes, Letícia, Ferreira, Gustavo, Ferreira, Joice, Ferreira, Leandro, Ferreira, Socorro, Simon, Marcelo Fragomeni, Freitas, Maria Aparecida, García, Queila S., Manzatto, Angelo Gilberto, Graça, Paulo, Guilherme, Frederico, Hase, Eduardo, Higuchi, Niro, Iguatemy, Mariana, Barbosa, Reinaldo Imbrozio, Jaramillo, Margarita, Joly, Carlos, Klipel, Joice, do Amaral, Iêda Leão, Levis, Carolina, Lima, Antonio S., Dan, Maurício Lima, Lopes, Aline, Madeiros, Herison, Magnusson, William E., dos Santos, Rubens Manoel, Marimon, Beatriz, Junior, Ben Hur Marimon, Grillo, Roberta Marotti Martelletti, Martinelli, Luiz, Reis, Simone Matias, Medeiros, Salomão, Meira-Junior, Milton, Metzker, Thiago, Morandi, Paulo, do Nascimento, Natanael Moreira, Moura, Magna, Müller, Sandra Cristina, Nagy, Laszlo, Nascimento, Henrique, Nascimento, Marcelo, Lima, Adriano Nogueira, de Araújo, Raimunda Oliveira, Silva, Jhonathan Oliveira, Pansonato, Marcelo, Sabino, Gabriel Pavan, de Abreu, Karla Maria Pedra, Rodrigues, Pablo José Francisco Pena, Piedade, Maria, Rodrigues, Domingos, Rodrigues Pinto, José Roberto, Quesada, Carlos, Ramos, Eliana, Ramos, Rafael, Rodrigues, Priscyla, de Sousa, Thaiane Rodrigues, Salomão, Rafael, Santana, Flávia, Scaranello, Marcos, Bergamin, Rodrigo Scarton, Schietti, Juliana, Schöngart, Jochen, Schwartz, Gustavo, Silva, Natalino, Silveira, Marcos, Seixas, Cristiana Simão, Simbine, Marta, Souza, Ana Claudia, Souza, Priscila, Souza, Rodolfo, Sposito, Tereza, Junior, Edson Stefani, do Vale, Julio Daniel, Vieira, Ima Célia Guimarães, Villela, Dora, Vital, Marcos, Xaud, Haron, Zanini, Katia, Zartman, Charles Eugene, Ideris, Nur Khalish Hafizhah, Metali, Faizah binti Hj, Salim, Kamariah Abu, Saparudin, Muhd Shahruney, Serudin, Rafizah Mat, Sukri, Rahayu Sukmaria, Begne, Serge, Chuyong, George, Djuikouo, Marie Noel, Gonmadje, Christelle, Simo-Droissart, Murielle, Sonké, Bonaventure, Taedoumg, Hermann, Zemagho, Lise, Thomas, Sean, Baya, Fidèle, Saiz, Gustavo, Espejo, Javier Silva, Chen, Dexiang, Hamilton, Alan, Li, Yide, Luo, Tushou, Niu, Shukui, Xu, Han, Zhou, Zhang, Álvarez-Dávila, Esteban, Escobar, Juan Carlos Andrés, Arellano-Peña, Henry, Duarte, Jaime Cabezas, Calderón, Jhon, Bravo, Lina Maria Corrales, Cuadrado, Borish, Cuadros, Hermes, Duque, Alvaro, Duque, Luisa Fernanda, Espinosa, Sandra Milena, Franke-Ante, Rebeca, García, Hernando, Gómez, Alejandro, González-M., Roy, Idárraga-Piedrahíta, Álvaro, Jimenez, Eliana, Jurado, Rubén, Oviedo, Wilmar López, López-Camacho, René, Cruz, Omar Aurelio Melo, Polo, Irina Mendoza, Paky, Edwin, Pérez, Karen, Pijachi, Angel, Pizano, Camila, Prieto, Adriana, Ramos, Laura, Correa, Zorayda Restrepo, Richardson, James, Rodríguez, Elkin, Rodriguez M., Gina M., Rudas, Agustín, Stevenson, Pablo, Chudomelová, Markéta, Dancak, Martin, Hédl, Radim, Lhota, Stanislav, Svatek, Martin, Mukinzi, Jacques, Ewango, Corneille, Hart, Terese, Yakusu, Emmanuel Kasongo, Lisingo, Janvier, Makana, Jean Remy, Mbayu, Faustin, Toirambe, Benjamin, Mukendi, John Tshibamba, Kvist, Lars, Nebel, Gustav, Báez, Selene, Céron, Carlos, Griffith, Daniel M., Andino, Juan Ernesto Guevara, Neill, David, Palacios, Walter, Peñuela-Mora, Maria Cristina, Rivas-Torres, Gonzalo, Villa, Gorky, Demissie, Sheleme, Gole, Tadesse, Gonfa, Techane, Ruokolainen, Kalle, Baisie, Michel, Bénédet, Fabrice, Betian, Wemo, Bezard, Vincent, Bonal, Damien, Chave, Jerôme, Droissart, Vincent, Gourlet-Fleury, Sylvie, Hladik, Annette, Labrière, Nicolas, Naisso, Pétrus, Réjou-Méchain, Maxime, Sist, Plinio, Blanc, Lilian, Burban, Benoit, Derroire, Géraldine, Dourdain, Aurélie, Stahl, Clement, Bengone, Natacha Nssi, Chezeaux, Eric, Ondo, Fidèle Evouna, Medjibe, Vincent, Mihindou, Vianet, White, Lee, Culmsee, Heike, Rangel, Cristabel Durán, Horna, Viviana, Wittmann, Florian, Adu-Bredu, Stephen, Affum-Baffoe, Kofi, Foli, Ernest, Balinga, Michael, Roopsind, Anand, Singh, James, Thomas, Raquel, Zagt, Roderick, Murthy, Indu K., Kartawinata, Kuswata, Mirmanto, Edi, Priyadi, Hari, Samsoedin, Ismayadi, Sunderland, Terry, Yassir, Ishak, Rovero, Francesco, Vinceti, Barbara, Hérault, Bruno, Aiba, Shin Ichiro, Kitayama, Kanehiro, Daniels, Armandu, Tuagben, Darlington, Woods, John T., Fitriadi, Muhammad, Karolus, Alexander, Khoon, Kho Lip, Majalap, Noreen, Maycock, Colin, Nilus, Reuben, Tan, Sylvester, Sitoe, Almeida, Coronado G., Indiana, Ojo, Lucas, de Assis, Rafael, Poulsen, Axel Dalberg, Sheil, Douglas, Pezo, Karen Arévalo, Verde, Hans Buttgenbach, Moscoso, Victor Chama, Oroche, Jimmy Cesar Cordova, Valverde, Fernando Cornejo, Medina, Massiel Corrales, Cardozo, Nallaret Davila, de Rutte Corzo, Jano, del Aguila Pasquel, Jhon, Llampazo, Gerardo Flores, Freitas, Luis, Cabrera, Darcy Galiano, Villacorta, Roosevelt García, Cabrera, Karina Garcia, Soria, Diego García, Saboya, Leticia Gatica, Rios, Julio Miguel Grandez, Pizango, Gabriel Hidalgo, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Aedo, Yuri Tomas Huillca, Peña, Jose Luis Marcelo, Mendoza, Abel Monteagudo, Rodriguez, Vanesa Moreano, Vargas, Percy Núñez, Ramos, Sonia Cesarina Palacios, Camacho, Nadir Pallqui, Cruz, Antonio Peña, Arevalo, Freddy Ramirez, Huaymacari, José Reyna, Rodriguez, Carlos Reynel, Paredes, Marcos Antonio Ríos, Bayona, Lily Rodriguez, del Pilar Rojas Gonzales, Rocio, Peña, Maria Elena Rojas, Revilla, Norma Salinas, Shareva, Yahn Carlos Soto, Trujillo, Raul Tupayachi, Gamarra, Luis Valenzuela, Martinez, Rodolfo Vasquez, Arenas, Jim Vega, Amani, Christian, Ifo, Suspense Averti, Bocko, Yannick, Boundja, Patrick, Ekoungoulou, Romeo, Hockemba, Mireille, Nzala, Donatien, Fofanah, Alusine, Taylor, David, Bañares-de Dios, Guillermo, Cayuela, Luis, la Cerda, Íñigo Granzow de, Macía, Manuel, Stropp, Juliana, Playfair, Maureen, Wortel, Verginia, Gardner, Toby, Muscarella, Robert, Rutishauser, Ervan, Chao, Kuo Jung, Munishi, Pantaleo, Bánki, Olaf, Bongers, Frans, Boot, Rene, Fredriksson, Gabriella, Reitsma, Jan, ter Steege, Hans, van Andel, Tinde, van de Meer, Peter, van der Hout, Peter, van Nieuwstadt, Mark, van Ulft, Bert, Veenendaal, Elmar, Vernimmen, Ronald, Zuidema, Pieter, Zwerts, Joeri, Akite, Perpetra, Bitariho, Robert, Chapman, Colin, Gerald, Eilu, Leal, Miguel, Mucunguzi, Patrick, Abernethy, Katharine, Alexiades, Miguel, Baker, Timothy R., Banda, Karina, Banin, Lindsay, Barlow, Jos, Bennett, Amy, Berenguer, Erika, Berry, Nicholas, Bird, Neil M., Blackburn, George A., Brearley, Francis, Brienen, Roel, Burslem, David, Carvalho, Lidiany, Cho, Percival, Coelho, Fernanda, Collins, Murray, Coomes, David, Cuni-Sanchez, Aida, Dargie, Greta, Dexter, Kyle, Disney, Mat, Draper, Freddie, Duan, Muying, Esquivel-Muelbert, Adriane, Ewers, Robert, Fadrique, Belen, Fauset, Sophie, Feldpausch, Ted R., França, Filipe, Galbraith, David, Gilpin, Martin, Gloor, Emanuel, Grace, John, Hamer, Keith, Harris, David, Jeffery, Kath, Jucker, Tommaso, Kalamandeen, Michelle, Klitgaard, Bente, Levesley, Aurora, Lewis, Simon L., Lindsell, Jeremy, Lopez-Gonzalez, Gabriela, Lovett, Jon, Malhi, Yadvinder, Marthews, Toby, McIntosh, Emma, Melgaço, Karina, Milliken, William, Mitchard, Edward, Moonlight, Peter, Moore, Sam, Morel, Alexandra, Peacock, Julie, Peh, Kelvin S.H., Pendry, Colin, Pennington, R. Toby, de Oliveira Pereira, Luciana, Peres, Carlos, Phillips, Oliver L., Pickavance, Georgia, Pugh, Thomas, Qie, Lan, Riutta, Terhi, Roucoux, Katherine, Ryan, Casey, Sarkinen, Tiina, Valeria, Camila Silva, Spracklen, Dominick, Stas, Suzanne, Sullivan, Martin, Swaine, Michael, Talbot, Joey, Taplin, James, van der Heijden, Geertje, Vedovato, Laura, Willcock, Simon, Williams, Mathew, Alves, Luciana, Loayza, Patricia Alvarez, Arellano, Gabriel, Asa, Cheryl, Ashton, Peter, Asner, Gregory, Brncic, Terry, Brown, Foster, Burnham, Robyn, Clark, Connie, Comiskey, James, Damasco, Gabriel, Davies, Stuart, Di Fiore, Tony, Erwin, Terry, Farfan-Rios, William, Hall, Jefferson, Kenfack, David, Lovejoy, Thomas, Martin, Roberta, Montiel, Olga Martha, Pipoly, John, Pitman, Nigel, Poulsen, John, Primack, Richard, Silman, Miles, Steininger, Marc, Swamy, Varun, Terborgh, John, Thomas, Duncan, Umunay, Peter, Uriarte, Maria, Torre, Emilio Vilanova, Wang, Ophelia, Young, Kenneth, Aymard C., Gerardo A., Hernández, Lionel, Fernández, Rafael Herrera, Ramírez-Angulo, Hirma, Salcedo, Pedro, Sanoja, Elio, Serrano, Julio, Torres-Lezama, Armando, Le, Tinh Cong, Le, Trai Trong, and Tran, Hieu Dang
Published: 2021

14. The flows of nature to people, and of people to nature: applying movement concepts to ecosystem services

Author: Dolan, Rachel, Bullock, James M., Jones, Julia P.G., Athanasiadis, Ioannis N., Martinez-Lopez, Javier, Willcock, Simon, Dolan, Rachel, Bullock, James M., Jones, Julia P.G., Athanasiadis, Ioannis N., Martinez-Lopez, Javier, and Willcock, Simon
Abstract: To date, the provision of ecosystem services has largely been estimated based on spatial patterns of land cover alone, using benefit transfer analysis. Although it is increasingly being recognised that the distribution of the human population affects whether a potential service translates into a realised service, this misses key steps in the process and assumes that everyone accesses ecosystem services in the same way. Here we describe a conceptual approach to ecosystem services in terms of movement and flows. We highlight that ecosystem service flows can be broken down into ‘nature to people’ (the movement of nature towards beneficiaries) and ‘people to nature’ (the movement of beneficiaries towards nature). The former has been relatively well described. Here, we explore the latter by reviewing research on human migration, animal foraging and landscape connectivity. We assess if and how existing theories might be useful in describing how people seek out ecosystem services. We consider some of the ways in which flows of people to nature can be measured. Such measurements may reveal which movement theories best represent how people seek out and access ecosystem services. Overall, our review aims to improve the future modelling of ecosystem services by more explicitly considering how people access potential services and therefore realise them.
Published: 2021

15. The current and future uses of machine learning in ecosystem service research

Author: Scowen, Matthew, Athanasiadis, Ioannis N., Bullock, James M., Eigenbrod, Felix, Willcock, Simon, Scowen, Matthew, Athanasiadis, Ioannis N., Bullock, James M., Eigenbrod, Felix, and Willcock, Simon
Abstract: Machine learning (ML) expands traditional data analysis and presents a range of opportunities in ecosystem service (ES) research, offering rapid processing of ‘big data’ and enabling significant advances in data description and predictive modelling. Descriptive ML techniques group data with little or no prior domain specific assumptions; they can generate hypotheses and automatically sort data prior to other analyses. Predictive ML techniques allow for the predictive modelling of highly non-linear systems where casual mechanisms are poorly understood, as is often the case for ES. We conducted a review to explore how ML is used in ES research and to identify and quantify trends in the different ML approaches that are used. We reviewed 308 peer-reviewed publications and identified that ES studies implemented machine learning techniques in data description (64%; n = 308) and predictive modelling (44%), with some papers containing both categories. Classification and Regression Trees were the most popular techniques (60%), but unsupervised learning techniques were also used for descriptive tasks such as clustering to group or split data without prior assumptions (19%). Whilst there are examples of ES publications that apply ML with rigour, many studies do not have robust or repeatable methods. Some studies fail to report model settings (43%) or software used (28%), and many studies do not report carrying out any form of model hyperparameter tuning (67%) or test model generalisability (59%). Whilst studies use ML to analyse very large and complex datasets, ES research is generally not taking full advantage of the capacity of ML to model big data (1138 medium number of data points; 13 median quantity of variables). There is great further opportunity to utilise ML in ES research, to make better use of big data and to develop detailed modelling of spatial-temporal dynamics that meet stakeholder demands.
Published: 2021

16. Taking the pulse of Earth's tropical forests using networks of highly distributed plots

Author: Blundo, Cecilia, Carilla, Julieta, Grau, Ricardo, Malizia, Agustina, Malizia, Lucio, Osinaga-Acosta, Oriana, Bird, Michael, Bradford, Matt, Catchpole, Damien, Ford, Andrew, Graham, Andrew, Hilbert, David, Kemp, Jeanette, Laurance, Susan, Laurance, William, Ishida, Francoise Yoko, Marshall, Andrew, Waite, Catherine, Woell, Hannsjoerg, Bastin, Jean-Francois, Bauters, Marijn, Beeckman, Hans, Boeckx, Pfascal, Bogaert, Jan, De Canniere, Charles, de Haulleville, Thales, Doucet, Jean-Louis, Hardy, Olivier, Hubau, Wannes, Kearsley, Elizabeth, Verbeeck, Hans, Vleminckx, Jason, Brewer, Steven W., Alarcón, Alfredo, Araujo-Murakami, Alejandro, Arets, Eric, Arroyo, Luzmila, Chavez, Ezequiel, Fredericksen, Todd, Villaroel, René Guillén, Sibauty, Gloria Gutierrez, Killeen, Timothy, Licona, Juan Carlos, Lleigue, John, Mendoza, Casimiro, Murakami, Samaria, Gutierrez, Alexander Parada, Pardo, Guido, Peña-Claros, Marielos, Poorter, Lourens, Toledo, Marisol, Cayo, Jeanneth Villalobos, Viscarra, Laura Jessica, Vos, Vincent, Ahumada, Jorge, Almeida, Everton, Almeida, Jarcilene, de Oliveira, Edmar Almeida, da Cruz, Wesley Alves, de Oliveira, Atila Alves, Carvalho, Fabrício Alvim, Obermuller, Flávio Amorim, Andrade, Ana, Carvalho, Fernanda Antunes, Vieira, Simone Aparecida, Aquino, Ana Carla, Aragão, Luiz, Araújo, Ana Claudia, Assis, Marco Antonio, Gomes, Jose Ataliba Mantelli Aboin, Baccaro, Fabrício, de Camargo, Plínio Barbosa, Barni, Paulo, Barroso, Jorcely, Bernacci, Luis Carlos, Bordin, Kauane, de Medeiros, Marcelo Brilhante, Broggio, Igor, Camargo, José Luís, Cardoso, Domingos, Carniello, Maria Antonia, Rochelle, Andre Luis Casarin, Castilho, Carolina, Castro, Antonio Alberto Jorge Farias, Castro, Wendeson, Ribeiro, Sabina Cerruto, Costa, Flávia, de Oliveira, Rodrigo Costa, Coutinho, Italo, Cunha, John, da Costa, Lola, da Costa Ferreira, Lucia, da Costa Silva, Richarlly, da Graça Zacarias Simbine, Marta, de Andrade Kamimura, Vitor, de Lima, Haroldo Cavalcante, de Oliveira Melo, Lia, de Queiroz, Luciano, de Sousa Lima, José Romualdo, do Espírito Santo, Mário, Domingues, Tomas, dos Santos Prestes, Nayane Cristina, Carneiro, Steffan Eduardo Silva, Elias, Fernando, Eliseu, Gabriel, Emilio, Thaise, Farrapo, Camila Laís, Fernandes, Letícia, Ferreira, Gustavo, Ferreira, Joice, Ferreira, Leandro, Ferreira, Socorro, Simon, Marcelo Fragomeni, Freitas, Maria Aparecida, García, Queila S., Manzatto, Angelo Gilberto, Graça, Paulo, Guilherme, Frederico, Hase, Eduardo, Higuchi, Niro, Iguatemy, Mariana, Barbosa, Reinaldo Imbrozio, Jaramillo, Margarita, Joly, Carlos, Klipel, Joice, do Amaral, Iêda Leão, Levis, Carolina, Lima, Antonio S., Dan, Maurício Lima, Lopes, Aline, Madeiros, Herison, Magnusson, William E., dos Santos, Rubens Manoel, Marimon, Beatriz, Junior, Ben Hur Marimon, Grillo, Roberta Marotti Martelletti, Martinelli, Luiz, Reis, Simone Matias, Medeiros, Salomão, Meira-Junior, Milton, Metzker, Thiago, Morandi, Paulo, do Nascimento, Natanael Moreira, Moura, Magna, Müller, Sandra Cristina, Nagy, Laszlo, Nascimento, Henrique, Nascimento, Marcelo, Lima, Adriano Nogueira, de Araújo, Raimunda Oliveira, Silva, Jhonathan Oliveira, Pansonato, Marcelo, Sabino, Gabriel Pavan, de Abreu, Karla Maria Pedra, Rodrigues, Pablo José Francisco Pena, Piedade, Maria, Rodrigues, Domingos, Rodrigues Pinto, José Roberto, Quesada, Carlos, Ramos, Eliana, Ramos, Rafael, Rodrigues, Priscyla, de Sousa, Thaiane Rodrigues, Salomão, Rafael, Santana, Flávia, Scaranello, Marcos, Bergamin, Rodrigo Scarton, Schietti, Juliana, Schöngart, Jochen, Schwartz, Gustavo, Silva, Natalino, Silveira, Marcos, Seixas, Cristiana Simão, Simbine, Marta, Souza, Ana Claudia, Souza, Priscila, Souza, Rodolfo, Sposito, Tereza, Junior, Edson Stefani, do Vale, Julio Daniel, Vieira, Ima Célia Guimarães, Villela, Dora, Vital, Marcos, Xaud, Haron, Zanini, Katia, Zartman, Charles Eugene, Ideris, Nur Khalish Hafizhah, Metali, Faizah binti Hj, Salim, Kamariah Abu, Saparudin, Muhd Shahruney, Serudin, Rafizah Mat, Sukri, Rahayu Sukmaria, Begne, Serge, Chuyong, George, Djuikouo, Marie Noel, Gonmadje, Christelle, Simo-Droissart, Murielle, Sonké, Bonaventure, Taedoumg, Hermann, Zemagho, Lise, Thomas, Sean, Baya, Fidèle, Saiz, Gustavo, Espejo, Javier Silva, Chen, Dexiang, Hamilton, Alan, Li, Yide, Luo, Tushou, Niu, Shukui, Xu, Han, Zhou, Zhang, Álvarez-Dávila, Esteban, Escobar, Juan Carlos Andrés, Arellano-Peña, Henry, Duarte, Jaime Cabezas, Calderón, Jhon, Bravo, Lina Maria Corrales, Cuadrado, Borish, Cuadros, Hermes, Duque, Alvaro, Duque, Luisa Fernanda, Espinosa, Sandra Milena, Franke-Ante, Rebeca, García, Hernando, Gómez, Alejandro, González-M., Roy, Idárraga-Piedrahíta, Álvaro, Jimenez, Eliana, Jurado, Rubén, Oviedo, Wilmar López, López-Camacho, René, Cruz, Omar Aurelio Melo, Polo, Irina Mendoza, Paky, Edwin, Pérez, Karen, Pijachi, Angel, Pizano, Camila, Prieto, Adriana, Ramos, Laura, Correa, Zorayda Restrepo, Richardson, James, Rodríguez, Elkin, Rodriguez M., Gina M., Rudas, Agustín, Stevenson, Pablo, Chudomelová, Markéta, Dancak, Martin, Hédl, Radim, Lhota, Stanislav, Svatek, Martin, Mukinzi, Jacques, Ewango, Corneille, Hart, Terese, Yakusu, Emmanuel Kasongo, Lisingo, Janvier, Makana, Jean-Remy, Mbayu, Faustin, Toirambe, Benjamin, Mukendi, John Tshibamba, Kvist, Lars, Nebel, Gustav, Báez, Selene, Céron, Carlos, Griffith, Daniel M., Andino, Juan Ernesto Guevara, Neill, David, Palacios, Walter, Peñuela-Mora, Maria Cristina, Rivas-Torres, Gonzalo, Villa, Gorky, Demissie, Sheleme, Gole, Tadesse, Gonfa, Techane, Ruokolainen, Kalle, Baisie, Michel, Bénédet, Fabrice, Betian, Wemo, Bezard, Vincent, Bonal, Damien, Chave, Jerôme, Droissart, Vincent, Gourlet-Fleury, Sylvie, Hladik, Annette, Labrière, Nicolas, Naisso, Pétrus, Réjou-Méchain, Maxime, Sist, Plinio, Blanc, Lilian, Burban, Benoit, Derroire, Géraldine, Dourdain, Aurélie, Stahl, Clement, Bengone, Natacha Nssi, Chezeaux, Eric, Ondo, Fidèle Evouna, Medjibe, Vincent, Mihindou, Vianet, White, Lee, Culmsee, Heike, Rangel, Cristabel Durán, Horna, Viviana, Wittmann, Florian, Adu-Bredu, Stephen, Affum-Baffoe, Kofi, Foli, Ernest, Balinga, Michael, Roopsind, Anand, Singh, James, Thomas, Raquel, Zagt, Roderick, Murthy, Indu K., Kartawinata, Kuswata, Mirmanto, Edi, Priyadi, Hari, Samsoedin, Ismayadi, Sunderland, Terry, Yassir, Ishak, Rovero, Francesco, Vinceti, Barbara, Hérault, Bruno, Aiba, Shin-Ichiro, Kitayama, Kanehiro, Daniels, Armandu, Tuagben, Darlington, Woods, John T., Fitriadi, Muhammad, Karolus, Alexander, Khoon, Kho Lip, Majalap, Noreen, Maycock, Colin, Nilus, Reuben, Tan, Sylvester, Sitoe, Almeida, Coronado G., Indiana, Ojo, Lucas, de Assis, Rafael, Poulsen, Axel Dalberg, Sheil, Douglas, Pezo, Karen Arévalo, Verde, Hans Buttgenbach, Moscoso, Victor Chama, Oroche, Jimmy Cesar Cordova, Valverde, Fernando Cornejo, Medina, Massiel Corrales, Cardozo, Nallaret Davila, de Rutte Corzo, Jano, del Aguila Pasquel, Jhon, Llampazo, Gerardo Flores, Freitas, Luis, Cabrera, Darcy Galiano, Villacorta, Roosevelt García, Cabrera, Karina Garcia, Soria, Diego García, Saboya, Leticia Gatica, Rios, Julio Miguel Grandez, Pizango, Gabriel Hidalgo, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Aedo, Yuri Tomas Huillca, Peña, Jose Luis Marcelo, Mendoza, Abel Monteagudo, Rodriguez, Vanesa Moreano, Vargas, Percy Núñez, Ramos, Sonia Cesarina Palacios, Camacho, Nadir Pallqui, Cruz, Antonio Peña, Arevalo, Freddy Ramirez, Huaymacari, José Reyna, Rodriguez, Carlos Reynel, Paredes, Marcos Antonio Ríos, Bayona, Lily Rodriguez, del Pilar Rojas Gonzales, Rocio, Peña, Maria Elena Rojas, Revilla, Norma Salinas, Shareva, Yahn Carlos Soto, Trujillo, Raul Tupayachi, Gamarra, Luis Valenzuela, Martinez, Rodolfo Vasquez, Arenas, Jim Vega, Amani, Christian, Ifo, Suspense Averti, Bocko, Yannick, Boundja, Patrick, Ekoungoulou, Romeo, Hockemba, Mireille, Nzala, Donatien, Fofanah, Alusine, Taylor, David, Bañares-de Dios, Guillermo, Cayuela, Luis, la Cerda, Íñigo Granzow-de, Macía, Manuel, Stropp, Juliana, Playfair, Maureen, Wortel, Verginia, Gardner, Toby, Muscarella, Robert, Rutishauser, Ervan, Chao, Kuo-Jung, Munishi, Pantaleo, Bánki, Olaf, Bongers, Frans, Boot, Rene, Fredriksson, Gabriella, Reitsma, Jan, ter Steege, Hans, van Andel, Tinde, van de Meer, Peter, van der Hout, Peter, van Nieuwstadt, Mark, van Ulft, Bert, Veenendaal, Elmar, Vernimmen, Ronald, Zuidema, Pieter, Zwerts, Joeri, Akite, Perpetra, Bitariho, Robert, Chapman, Colin, Gerald, Eilu, Leal, Miguel, Mucunguzi, Patrick, Abernethy, Katharine, Alexiades, Miguel, Baker, Timothy R., Banda, Karina, Banin, Lindsay, Barlow, Jos, Bennett, Amy, Berenguer, Erika, Berry, Nicholas, Bird, Neil M., Blackburn, George A., Brearley, Francis, Brienen, Roel, Burslem, David, Carvalho, Lidiany, Cho, Percival, Coelho, Fernanda, Collins, Murray, Coomes, David, Cuni-Sanchez, Aida, Dargie, Greta, Dexter, Kyle, Disney, Mat, Draper, Freddie, Duan, Muying, Esquivel-Muelbert, Adriane, Ewers, Robert, Fadrique, Belen, Fauset, Sophie, Feldpausch, Ted R., França, Filipe, Galbraith, David, Gilpin, Martin, Gloor, Emanuel, Grace, John, Hamer, Keith, Harris, David, Jeffery, Kath, Jucker, Tommaso, Kalamandeen, Michelle, Klitgaard, Bente, Levesley, Aurora, Lewis, Simon L., Lindsell, Jeremy, Lopez-Gonzalez, Gabriela, Lovett, Jon, Malhi, Yadvinder, Marthews, Toby, McIntosh, Emma, Melgaço, Karina, Milliken, William, Mitchard, Edward, Moonlight, Peter, Moore, Sam, Morel, Alexandra, Peacock, Julie, Peh, Kelvin S.-H., Pendry, Colin, Pennington, R. Toby, de Oliveira Pereira, Luciana, Peres, Carlos, Phillips, Oliver L., Pickavance, Georgia, Pugh, Thomas, Qie, Lan, Riutta, Terhi, Roucoux, Katherine, Ryan, Casey, Sarkinen, Tiina, Valeria, Camila Silva, Spracklen, Dominick, Stas, Suzanne, Sullivan, Martin, Swaine, Michael, Talbot, Joey, Taplin, James, van der Heijden, Geertje, Vedovato, Laura, Willcock, Simon, Williams, Mathew, Alves, Luciana, Loayza, Patricia Alvarez, Arellano, Gabriel, Asa, Cheryl, Ashton, Peter, Asner, Gregory, Brncic, Terry, Brown, Foster, Burnham, Robyn, Clark, Connie, Comiskey, James, Damasco, Gabriel, Davies, Stuart, Di Fiore, Tony, Erwin, Terry, Farfan-Rios, William, Hall, Jefferson, Kenfack, David, Lovejoy, Thomas, Martin, Roberta, Montiel, Olga Martha, Pipoly, John, Pitman, Nigel, Poulsen, John, Primack, Richard, Silman, Miles, Steininger, Marc, Swamy, Varun, Terborgh, John, Thomas, Duncan, Umunay, Peter, Uriarte, Maria, Torre, Emilio Vilanova, Wang, Ophelia, Young, Kenneth, Aymard C., Gerardo A., Hernández, Lionel, Fernández, Rafael Herrera, Ramírez-Angulo, Hirma, Salcedo, Pedro, Sanoja, Elio, Serrano, Julio, Torres-Lezama, Armando, Le, Tinh Cong, Le, Trai Trong, Tran, Hieu Dang, Blundo, Cecilia, Carilla, Julieta, Grau, Ricardo, Malizia, Agustina, Malizia, Lucio, Osinaga-Acosta, Oriana, Bird, Michael, Bradford, Matt, Catchpole, Damien, Ford, Andrew, Graham, Andrew, Hilbert, David, Kemp, Jeanette, Laurance, Susan, Laurance, William, Ishida, Francoise Yoko, Marshall, Andrew, Waite, Catherine, Woell, Hannsjoerg, Bastin, Jean-Francois, Bauters, Marijn, Beeckman, Hans, Boeckx, Pfascal, Bogaert, Jan, De Canniere, Charles, de Haulleville, Thales, Doucet, Jean-Louis, Hardy, Olivier, Hubau, Wannes, Kearsley, Elizabeth, Verbeeck, Hans, Vleminckx, Jason, Brewer, Steven W., Alarcón, Alfredo, Araujo-Murakami, Alejandro, Arets, Eric, Arroyo, Luzmila, Chavez, Ezequiel, Fredericksen, Todd, Villaroel, René Guillén, Sibauty, Gloria Gutierrez, Killeen, Timothy, Licona, Juan Carlos, Lleigue, John, Mendoza, Casimiro, Murakami, Samaria, Gutierrez, Alexander Parada, Pardo, Guido, Peña-Claros, Marielos, Poorter, Lourens, Toledo, Marisol, Cayo, Jeanneth Villalobos, Viscarra, Laura Jessica, Vos, Vincent, Ahumada, Jorge, Almeida, Everton, Almeida, Jarcilene, de Oliveira, Edmar Almeida, da Cruz, Wesley Alves, de Oliveira, Atila Alves, Carvalho, Fabrício Alvim, Obermuller, Flávio Amorim, Andrade, Ana, Carvalho, Fernanda Antunes, Vieira, Simone Aparecida, Aquino, Ana Carla, Aragão, Luiz, Araújo, Ana Claudia, Assis, Marco Antonio, Gomes, Jose Ataliba Mantelli Aboin, Baccaro, Fabrício, de Camargo, Plínio Barbosa, Barni, Paulo, Barroso, Jorcely, Bernacci, Luis Carlos, Bordin, Kauane, de Medeiros, Marcelo Brilhante, Broggio, Igor, Camargo, José Luís, Cardoso, Domingos, Carniello, Maria Antonia, Rochelle, Andre Luis Casarin, Castilho, Carolina, Castro, Antonio Alberto Jorge Farias, Castro, Wendeson, Ribeiro, Sabina Cerruto, Costa, Flávia, de Oliveira, Rodrigo Costa, Coutinho, Italo, Cunha, John, da Costa, Lola, da Costa Ferreira, Lucia, da Costa Silva, Richarlly, da Graça Zacarias Simbine, Marta, de Andrade Kamimura, Vitor, de Lima, Haroldo Cavalcante, de Oliveira Melo, Lia, de Queiroz, Luciano, de Sousa Lima, José Romualdo, do Espírito Santo, Mário, Domingues, Tomas, dos Santos Prestes, Nayane Cristina, Carneiro, Steffan Eduardo Silva, Elias, Fernando, Eliseu, Gabriel, Emilio, Thaise, Farrapo, Camila Laís, Fernandes, Letícia, Ferreira, Gustavo, Ferreira, Joice, Ferreira, Leandro, Ferreira, Socorro, Simon, Marcelo Fragomeni, Freitas, Maria Aparecida, García, Queila S., Manzatto, Angelo Gilberto, Graça, Paulo, Guilherme, Frederico, Hase, Eduardo, Higuchi, Niro, Iguatemy, Mariana, Barbosa, Reinaldo Imbrozio, Jaramillo, Margarita, Joly, Carlos, Klipel, Joice, do Amaral, Iêda Leão, Levis, Carolina, Lima, Antonio S., Dan, Maurício Lima, Lopes, Aline, Madeiros, Herison, Magnusson, William E., dos Santos, Rubens Manoel, Marimon, Beatriz, Junior, Ben Hur Marimon, Grillo, Roberta Marotti Martelletti, Martinelli, Luiz, Reis, Simone Matias, Medeiros, Salomão, Meira-Junior, Milton, Metzker, Thiago, Morandi, Paulo, do Nascimento, Natanael Moreira, Moura, Magna, Müller, Sandra Cristina, Nagy, Laszlo, Nascimento, Henrique, Nascimento, Marcelo, Lima, Adriano Nogueira, de Araújo, Raimunda Oliveira, Silva, Jhonathan Oliveira, Pansonato, Marcelo, Sabino, Gabriel Pavan, de Abreu, Karla Maria Pedra, Rodrigues, Pablo José Francisco Pena, Piedade, Maria, Rodrigues, Domingos, Rodrigues Pinto, José Roberto, Quesada, Carlos, Ramos, Eliana, Ramos, Rafael, Rodrigues, Priscyla, de Sousa, Thaiane Rodrigues, Salomão, Rafael, Santana, Flávia, Scaranello, Marcos, Bergamin, Rodrigo Scarton, Schietti, Juliana, Schöngart, Jochen, Schwartz, Gustavo, Silva, Natalino, Silveira, Marcos, Seixas, Cristiana Simão, Simbine, Marta, Souza, Ana Claudia, Souza, Priscila, Souza, Rodolfo, Sposito, Tereza, Junior, Edson Stefani, do Vale, Julio Daniel, Vieira, Ima Célia Guimarães, Villela, Dora, Vital, Marcos, Xaud, Haron, Zanini, Katia, Zartman, Charles Eugene, Ideris, Nur Khalish Hafizhah, Metali, Faizah binti Hj, Salim, Kamariah Abu, Saparudin, Muhd Shahruney, Serudin, Rafizah Mat, Sukri, Rahayu Sukmaria, Begne, Serge, Chuyong, George, Djuikouo, Marie Noel, Gonmadje, Christelle, Simo-Droissart, Murielle, Sonké, Bonaventure, Taedoumg, Hermann, Zemagho, Lise, Thomas, Sean, Baya, Fidèle, Saiz, Gustavo, Espejo, Javier Silva, Chen, Dexiang, Hamilton, Alan, Li, Yide, Luo, Tushou, Niu, Shukui, Xu, Han, Zhou, Zhang, Álvarez-Dávila, Esteban, Escobar, Juan Carlos Andrés, Arellano-Peña, Henry, Duarte, Jaime Cabezas, Calderón, Jhon, Bravo, Lina Maria Corrales, Cuadrado, Borish, Cuadros, Hermes, Duque, Alvaro, Duque, Luisa Fernanda, Espinosa, Sandra Milena, Franke-Ante, Rebeca, García, Hernando, Gómez, Alejandro, González-M., Roy, Idárraga-Piedrahíta, Álvaro, Jimenez, Eliana, Jurado, Rubén, Oviedo, Wilmar López, López-Camacho, René, Cruz, Omar Aurelio Melo, Polo, Irina Mendoza, Paky, Edwin, Pérez, Karen, Pijachi, Angel, Pizano, Camila, Prieto, Adriana, Ramos, Laura, Correa, Zorayda Restrepo, Richardson, James, Rodríguez, Elkin, Rodriguez M., Gina M., Rudas, Agustín, Stevenson, Pablo, Chudomelová, Markéta, Dancak, Martin, Hédl, Radim, Lhota, Stanislav, Svatek, Martin, Mukinzi, Jacques, Ewango, Corneille, Hart, Terese, Yakusu, Emmanuel Kasongo, Lisingo, Janvier, Makana, Jean-Remy, Mbayu, Faustin, Toirambe, Benjamin, Mukendi, John Tshibamba, Kvist, Lars, Nebel, Gustav, Báez, Selene, Céron, Carlos, Griffith, Daniel M., Andino, Juan Ernesto Guevara, Neill, David, Palacios, Walter, Peñuela-Mora, Maria Cristina, Rivas-Torres, Gonzalo, Villa, Gorky, Demissie, Sheleme, Gole, Tadesse, Gonfa, Techane, Ruokolainen, Kalle, Baisie, Michel, Bénédet, Fabrice, Betian, Wemo, Bezard, Vincent, Bonal, Damien, Chave, Jerôme, Droissart, Vincent, Gourlet-Fleury, Sylvie, Hladik, Annette, Labrière, Nicolas, Naisso, Pétrus, Réjou-Méchain, Maxime, Sist, Plinio, Blanc, Lilian, Burban, Benoit, Derroire, Géraldine, Dourdain, Aurélie, Stahl, Clement, Bengone, Natacha Nssi, Chezeaux, Eric, Ondo, Fidèle Evouna, Medjibe, Vincent, Mihindou, Vianet, White, Lee, Culmsee, Heike, Rangel, Cristabel Durán, Horna, Viviana, Wittmann, Florian, Adu-Bredu, Stephen, Affum-Baffoe, Kofi, Foli, Ernest, Balinga, Michael, Roopsind, Anand, Singh, James, Thomas, Raquel, Zagt, Roderick, Murthy, Indu K., Kartawinata, Kuswata, Mirmanto, Edi, Priyadi, Hari, Samsoedin, Ismayadi, Sunderland, Terry, Yassir, Ishak, Rovero, Francesco, Vinceti, Barbara, Hérault, Bruno, Aiba, Shin-Ichiro, Kitayama, Kanehiro, Daniels, Armandu, Tuagben, Darlington, Woods, John T., Fitriadi, Muhammad, Karolus, Alexander, Khoon, Kho Lip, Majalap, Noreen, Maycock, Colin, Nilus, Reuben, Tan, Sylvester, Sitoe, Almeida, Coronado G., Indiana, Ojo, Lucas, de Assis, Rafael, Poulsen, Axel Dalberg, Sheil, Douglas, Pezo, Karen Arévalo, Verde, Hans Buttgenbach, Moscoso, Victor Chama, Oroche, Jimmy Cesar Cordova, Valverde, Fernando Cornejo, Medina, Massiel Corrales, Cardozo, Nallaret Davila, de Rutte Corzo, Jano, del Aguila Pasquel, Jhon, Llampazo, Gerardo Flores, Freitas, Luis, Cabrera, Darcy Galiano, Villacorta, Roosevelt García, Cabrera, Karina Garcia, Soria, Diego García, Saboya, Leticia Gatica, Rios, Julio Miguel Grandez, Pizango, Gabriel Hidalgo, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Aedo, Yuri Tomas Huillca, Peña, Jose Luis Marcelo, Mendoza, Abel Monteagudo, Rodriguez, Vanesa Moreano, Vargas, Percy Núñez, Ramos, Sonia Cesarina Palacios, Camacho, Nadir Pallqui, Cruz, Antonio Peña, Arevalo, Freddy Ramirez, Huaymacari, José Reyna, Rodriguez, Carlos Reynel, Paredes, Marcos Antonio Ríos, Bayona, Lily Rodriguez, del Pilar Rojas Gonzales, Rocio, Peña, Maria Elena Rojas, Revilla, Norma Salinas, Shareva, Yahn Carlos Soto, Trujillo, Raul Tupayachi, Gamarra, Luis Valenzuela, Martinez, Rodolfo Vasquez, Arenas, Jim Vega, Amani, Christian, Ifo, Suspense Averti, Bocko, Yannick, Boundja, Patrick, Ekoungoulou, Romeo, Hockemba, Mireille, Nzala, Donatien, Fofanah, Alusine, Taylor, David, Bañares-de Dios, Guillermo, Cayuela, Luis, la Cerda, Íñigo Granzow-de, Macía, Manuel, Stropp, Juliana, Playfair, Maureen, Wortel, Verginia, Gardner, Toby, Muscarella, Robert, Rutishauser, Ervan, Chao, Kuo-Jung, Munishi, Pantaleo, Bánki, Olaf, Bongers, Frans, Boot, Rene, Fredriksson, Gabriella, Reitsma, Jan, ter Steege, Hans, van Andel, Tinde, van de Meer, Peter, van der Hout, Peter, van Nieuwstadt, Mark, van Ulft, Bert, Veenendaal, Elmar, Vernimmen, Ronald, Zuidema, Pieter, Zwerts, Joeri, Akite, Perpetra, Bitariho, Robert, Chapman, Colin, Gerald, Eilu, Leal, Miguel, Mucunguzi, Patrick, Abernethy, Katharine, Alexiades, Miguel, Baker, Timothy R., Banda, Karina, Banin, Lindsay, Barlow, Jos, Bennett, Amy, Berenguer, Erika, Berry, Nicholas, Bird, Neil M., Blackburn, George A., Brearley, Francis, Brienen, Roel, Burslem, David, Carvalho, Lidiany, Cho, Percival, Coelho, Fernanda, Collins, Murray, Coomes, David, Cuni-Sanchez, Aida, Dargie, Greta, Dexter, Kyle, Disney, Mat, Draper, Freddie, Duan, Muying, Esquivel-Muelbert, Adriane, Ewers, Robert, Fadrique, Belen, Fauset, Sophie, Feldpausch, Ted R., França, Filipe, Galbraith, David, Gilpin, Martin, Gloor, Emanuel, Grace, John, Hamer, Keith, Harris, David, Jeffery, Kath, Jucker, Tommaso, Kalamandeen, Michelle, Klitgaard, Bente, Levesley, Aurora, Lewis, Simon L., Lindsell, Jeremy, Lopez-Gonzalez, Gabriela, Lovett, Jon, Malhi, Yadvinder, Marthews, Toby, McIntosh, Emma, Melgaço, Karina, Milliken, William, Mitchard, Edward, Moonlight, Peter, Moore, Sam, Morel, Alexandra, Peacock, Julie, Peh, Kelvin S.-H., Pendry, Colin, Pennington, R. Toby, de Oliveira Pereira, Luciana, Peres, Carlos, Phillips, Oliver L., Pickavance, Georgia, Pugh, Thomas, Qie, Lan, Riutta, Terhi, Roucoux, Katherine, Ryan, Casey, Sarkinen, Tiina, Valeria, Camila Silva, Spracklen, Dominick, Stas, Suzanne, Sullivan, Martin, Swaine, Michael, Talbot, Joey, Taplin, James, van der Heijden, Geertje, Vedovato, Laura, Willcock, Simon, Williams, Mathew, Alves, Luciana, Loayza, Patricia Alvarez, Arellano, Gabriel, Asa, Cheryl, Ashton, Peter, Asner, Gregory, Brncic, Terry, Brown, Foster, Burnham, Robyn, Clark, Connie, Comiskey, James, Damasco, Gabriel, Davies, Stuart, Di Fiore, Tony, Erwin, Terry, Farfan-Rios, William, Hall, Jefferson, Kenfack, David, Lovejoy, Thomas, Martin, Roberta, Montiel, Olga Martha, Pipoly, John, Pitman, Nigel, Poulsen, John, Primack, Richard, Silman, Miles, Steininger, Marc, Swamy, Varun, Terborgh, John, Thomas, Duncan, Umunay, Peter, Uriarte, Maria, Torre, Emilio Vilanova, Wang, Ophelia, Young, Kenneth, Aymard C., Gerardo A., Hernández, Lionel, Fernández, Rafael Herrera, Ramírez-Angulo, Hirma, Salcedo, Pedro, Sanoja, Elio, Serrano, Julio, Torres-Lezama, Armando, Le, Tinh Cong, Le, Trai Trong, and Tran, Hieu Dang
Abstract: Tropical forests are the most diverse and productive ecosystems on Earth. While better understanding of these forests is critical for our collective future, until quite recently efforts to measure and monitor them have been largely disconnected. Networking is essential to discover the answers to questions that transcend borders and the horizons of funding agencies. Here we show how a global community is responding to the challenges of tropical ecosystem research with diverse teams measuring forests tree-by-tree in thousands of long-term plots. We review the major scientific discoveries of this work and show how this process is changing tropical forest science. Our core approach involves linking long-term grassroots initiatives with standardized protocols and data management to generate robust scaled-up results. By connecting tropical researchers and elevating their status, our Social Research Network model recognises the key role of the data originator in scientific discovery. Conceived in 1999 with RAINFOR (South America), our permanent plot networks have been adapted to Africa (AfriTRON) and Southeast Asia (T-FORCES) and widely emulated worldwide. Now these multiple initiatives are integrated via ForestPlots.net cyber-infrastructure, linking colleagues from 54 countries across 24 plot networks. Collectively these are transforming understanding of tropical forests and their biospheric role. Together we have discovered how, where and why forest carbon and biodiversity are responding to climate change, and how they feedback on it. This long-term pan-tropical collaboration has revealed a large long-term carbon sink and its trends, as well as making clear which drivers are most important, which forest processes are affected, where they are changing, what the lags are, and the likely future responses of tropical forests as the climate continues to change. By leveraging a remarkably old technology, plot networks are sparking a very modern revolution in tropical forest sc
Published: 2021

17. High spatial-temporal resolution data across large scales are needed to transform our understanding of ecosystem services

Author: Willcock, Simon, Martinez-Lopez, Javier, Dandy, Norman, Bullock, James M., Willcock, Simon, Martinez-Lopez, Javier, Dandy, Norman, and Bullock, James M.
Abstract: Editorial for special issue. Many assessments of ecosystem services are based on maps of land cover. For example, Costanza et al. estimated the value of global ESs using economic valuations based on land cover and land use data. This method consists of matching an ecosystem type with the potential ESs that they provide. However, within the different types of land cover or land use considered, various environmental factors occurring at finer temporal or spatial scales (e.g., climatic variation) are not well captured. Thus, ES assessments are largely scale dependent, often missing important variables at both large and small scales. More in-depth studies should be encouraged to elucidate the roles of variables other than land cover.
Published: 2021

18. Towards a better future for biodiversity and people: Modelling Nature Futures

Author: Kim, Hyejin, Peterson, Garry, Cheung, William, Ferrier, Simon, Alkemade, Rob, Arneth, Almut, Kuiper, Jan, Okayasu, Sana, Pereira, Laura M., Acosta, Lilibeth A., Chaplin-kramer, Rebecca, Belder, Eefje Den, Eddy, Tyler, Johnson, Justin, Karlsson-vinkhuysen, Sylvia, Kok, Marcel, Leadley, Paul, Leclère, David, Lundquist, Carolyn J., Rondinini, Carlo, Scholes, Robert J., Schoolenberg, Machteld, Shin, Yunne-jai, Stehfest, Elke, Stephenson, Fabrice, Visconti, Piero, Van Vuuren, Detlef P., Wabnitz, Colette C., Alava, Juan José, Cuadros-casanova, Ivon, Davies, Kathryn K., Gasalla, Maria A., Halouani, Ghassen, Harfoot, Michael B. J., Hashimoto, Shizuka, Hickler, Thomas, Hirsch, Tim, Kolomytsev, Grigory, Miller, Brian, Ohashi, Haruka, Palomo, Maria Gabriela, Popp, Alexander, Remme, Roy Paco, Saito, Osamu, Sumaila, Rashid, Willcock, Simon, Pereira, Henrique, Kim, Hyejin, Peterson, Garry, Cheung, William, Ferrier, Simon, Alkemade, Rob, Arneth, Almut, Kuiper, Jan, Okayasu, Sana, Pereira, Laura M., Acosta, Lilibeth A., Chaplin-kramer, Rebecca, Belder, Eefje Den, Eddy, Tyler, Johnson, Justin, Karlsson-vinkhuysen, Sylvia, Kok, Marcel, Leadley, Paul, Leclère, David, Lundquist, Carolyn J., Rondinini, Carlo, Scholes, Robert J., Schoolenberg, Machteld, Shin, Yunne-jai, Stehfest, Elke, Stephenson, Fabrice, Visconti, Piero, Van Vuuren, Detlef P., Wabnitz, Colette C., Alava, Juan José, Cuadros-casanova, Ivon, Davies, Kathryn K., Gasalla, Maria A., Halouani, Ghassen, Harfoot, Michael B. J., Hashimoto, Shizuka, Hickler, Thomas, Hirsch, Tim, Kolomytsev, Grigory, Miller, Brian, Ohashi, Haruka, Palomo, Maria Gabriela, Popp, Alexander, Remme, Roy Paco, Saito, Osamu, Sumaila, Rashid, Willcock, Simon, and Pereira, Henrique
Abstract: The Nature Futures Framework (NFF) is a heuristic tool for co-creating positive futures for nature and people. It seeks to open up a diversity of futures through mainly three value perspectives on nature – Nature for Nature, Nature for Society, Nature as Culture. In this paper, we describe how the NFF can be applied in modelling to support policy. First, it describes key building blocks of the NFF in developing qualitative and quantitative scenarios: i) multiple value perspectives on nature and the frontier representing their improvements, ii) incorporating mutually reinforcing and key feedbacks of social-ecological systems, iii) indicators describing the evolution of social-ecological systems. We then present three approaches to modelling Nature Futures scenarios in review, screening and design phases of policy processes. This paper seeks to facilitate the integration of relational values of nature in models and to strengthen modelled linkages across biodiversity, nature’s contributions to people and quality of life.
Published: 2021
Full Text: View/download PDF

19. The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

Author: Santoro, Maurizio, Cartus, Oliver, Carvalhais, Nuno, Rozendaal, Danaë M.A., Avitabile, Valerio, Araza, Arnan, de Bruin, Sytze, Herold, Martin, Quegan, Shaun, Rodríguez-Veiga, Pedro, Balzter, Heiko, Carreiras, João, Schepaschenko, Dmitry, Korets, Mikhail, Shimada, Masanobu, Itoh, Takuya, Moreno Martínez, Álvaro, Cavlovic, Jura, Cazzolla Gatti, Roberto, Da Conceição Bispo, Polyanna, Dewnath, Nasheta, Labrière, Nicolas, Liang, Jingjing, Lindsell, Jeremy, Mitchard, Edward T.A., Morel, Alexandra, Pacheco Pascagaza, Ana Maria, Ryan, Casey M., Slik, Ferry, Vaglio Laurin, Gaia, Verbeeck, Hans, Wijaya, Arief, Willcock, Simon, Santoro, Maurizio, Cartus, Oliver, Carvalhais, Nuno, Rozendaal, Danaë M.A., Avitabile, Valerio, Araza, Arnan, de Bruin, Sytze, Herold, Martin, Quegan, Shaun, Rodríguez-Veiga, Pedro, Balzter, Heiko, Carreiras, João, Schepaschenko, Dmitry, Korets, Mikhail, Shimada, Masanobu, Itoh, Takuya, Moreno Martínez, Álvaro, Cavlovic, Jura, Cazzolla Gatti, Roberto, Da Conceição Bispo, Polyanna, Dewnath, Nasheta, Labrière, Nicolas, Liang, Jingjing, Lindsell, Jeremy, Mitchard, Edward T.A., Morel, Alexandra, Pacheco Pascagaza, Ana Maria, Ryan, Casey M., Slik, Ferry, Vaglio Laurin, Gaia, Verbeeck, Hans, Wijaya, Arief, and Willcock, Simon
Abstract: The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest inventory capacity. By combining multiple satellite observations of synthetic aperture radar (SAR) backscatter around the year 2010, we generated a global, spatially explicit dataset of above-ground live biomass (AGB; dry mass) stored in forests with a spatial resolution of 1 ha. Using an extensive database of 110 897 AGB measurements from field inventory plots, we show that the spatial patterns and magnitude of AGB are well captured in our map with the exception of regional uncertainties in high-carbon-stock forests with AGB >250 Mg ha−1, where the retrieval was effectively based on a single radar observation. With a total global AGB of 522 Pg, our estimate of the terrestrial biomass pool in forests is lower than most estimates published in the literature (426–571 Pg). Nonetheless, our dataset increases knowledge on the spatial distribution of AGB compared to the Global Forest Resources Assessment (FRA) by the Food and Agriculture Organization (FAO) and highlights the impact of a country's national inventory capacity on the accuracy of the biomass statistics reported to the FRA. We also reassessed previous remote sensing AGB maps and identified major biases compared to inventory data, up to 120 % of the inventory value in dry tropical forests, in the subtropics and temperate zone. Because of the high level of detail and the overall reliability of the AGB spatial patterns, our global dataset of AGB is likely to have significant impacts on climate, carbon, and socio-economic modelling schemes and provides a crucial baseline in future carbon stock change estimates. The dataset is available at https://doi.org/10.1594/PANGAEA.894711 (Santoro, 2018).
Published: 2021

20. The global abundance of tree palms

Author: Muscarella, Robert, Emilio, Thaise, Phillips, Oliver L., Lewis, Simon L., Slik, Ferry, Baker, William J., Couvreur, Thomas L. P., Eiserhardt, Wolf L., Svenning, Jens-Christian, Affum-Baffoe, Kofi, Aiba, Shin-Ichiro, de Almeida, Everton C., de Almeida, Samuel S., de Oliveira, Edmar Almeida, alvarez-Davila, Esteban, Alves, Luciana F., Alvez-Valles, Carlos Mariano, Carvalho, Fabricio Alvim, Guarin, Fernando Alzate, Andrade, Ana, Aragao, Luis E. O. C., Murakami, Alejandro Araujo, Arroyo, Luzmila, Ashton, Peter S., Corredor, Gerardo A. Aymard, Baker, Timothy R., de Camargo, Plinio Barbosa, Barlow, Jos, Bastin, Jean-Francois, Bengone, Natacha Nssi, Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Boehning-Gaese, Katrin, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brambach, Fabian, Brearley, Francis Q., Brewer, Steven W., Camargo, Jose L. C., Campbell, David G., Castilho, Carolina V., Castro, Wendeson, Catchpole, Damien, Ceron Martinez, Carlos E., Chen, Shengbin, Chhang, Phourin, Cho, Percival, Chutipong, Wanlop, Clark, Connie, Collins, Murray, Comiskey, James A., Medina, Massiel Nataly Corrales, Costa, Flavia R. C., Culmsee, Heike, David-Higuita, Heriberto, Davidar, Priya, del Aguila-Pasquel, Jhon, Derroire, Geraldine, Di Fiore, Anthony, Van Do, Tran, Doucet, Jean-Louis, Dourdain, Aurelie, Drake, Donald R., Ensslin, Andreas, Erwin, Terry, Ewango, Corneille E. N., Ewers, Robert M., Fauset, Sophie, Feldpausch, Ted R., Ferreira, Joice, Ferreira, Leandro Valle, Fischer, Markus, Franklin, Janet, Fredriksson, Gabriella M., Gillespie, Thomas W., Gilpin, Martin, Gonmadje, Christelle, Gunatilleke, Arachchige Upali Nimal, Hakeem, Khalid Rehman, Hall, Jefferson S., Hamer, Keith C., Harris, David J., Harrison, Rhett D., Hector, Andrew, Hemp, Andreas, Herault, Bruno, Pizango, Carlos Gabriel Hidalgo, Coronado, Euridice N. Honorio, Hubau, Wannes, Hussain, Mohammad Shah, Ibrahim, Faridah-Hanum, Imai, Nobuo, Joly, Carlos A., Joseph, Shijo, Anitha, K., Kartawinata, Kuswata, Kassi, Justin, Killeen, Timothy J., Kitayama, Kanehiro, Klitgard, Bente Bang, Kooyman, Robert, Labriere, Nicolas, Larney, Eileen, Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Levesley, Aurora, Lisingo, Janvier, Lovejoy, Thomas, Lovett, Jon C., Lu, Xinghui, Lykke, Anne Mette, Magnusson, William E., Mahayani, Ni Putu Diana, Malhi, Yadvinder, Mansor, Asyraf, Pena, Jose Luis Marcelo, Marimon-Junior, Ben H., Marshall, Andrew R., Melgaco, Karina, Bautista, Casimiro Mendoza, Mihindou, Vianet, Millet, Jerome, Milliken, William, Mohandass, D., Mendoza, Abel Lorenzo Monteagudo, Mugerwa, Badru, Nagamasu, Hidetoshi, Nagy, Laszlo, Seuaturien, Naret, Nascimento, Marcelo T., Neill, David A., Neto, Luiz Menini, Nilus, Rueben, Vargas, Mario Percy Nunez, Nurtjahya, Eddy, de Araujo, R. Nazare O., Onrizal, Onrizal, Palacios, Walter A., Palacios-Ramos, Sonia, Parren, Marc, Paudel, Ekananda, Morandi, Paulo S., Pennington, R. Toby, Pickavance, Georgia, Pipoly, John J., III, Pitman, Nigel C. A., Poedjirahajoe, Erny, Poorter, Lourens, Poulsen, John R., Rama Chandra Prasad, P., Prieto, Adriana, Puyravaud, Jean-Philippe, Qie, Lan, Quesada, Carlos A., Ramirez-Angulo, Hirma, Razafimahaimodison, Jean Claude, Reitsma, Jan Meindert, Requena-Rojas, Edilson J., Correa, Zorayda Restrepo, Rodriguez, Carlos Reynel, Roopsind, Anand, Rovero, Francesco, Rozak, Andes, Lleras, Agustin Rudas, Rutishauser, Ervan, Rutten, Gemma, Punchi-Manage, Ruwan, Salomao, Rafael P., Van Sam, Hoang, Sarker, Swapan Kumar, Satdichanh, Manichanh, Schietti, Juliana, Schmitt, Christine B., Marimon, Beatriz Schwantes, Senbeta, Feyera, Nath Sharma, Lila, Sheil, Douglas, Sierra, Rodrigo, Silva-Espejo, Javier E., Silveira, Marcos, Sonke, Bonaventure, Steininger, Marc K., Steinmetz, Robert, Stevart, Tariq, Sukumar, Raman, Sultana, Aisha, Sunderland, Terry C. H., Suresh, Hebbalalu Satyanarayana, Tang, Jianwei, Tanner, Edmund, ter Steege, Hans, Terborgh, John W., Theilade, Ida, Timberlake, Jonathan, Torres-Lezama, Armando, Umunay, Peter, Uriarte, Maria, Gamarra, Luis Valenzuela, van de Bult, Mariam, van der Hout, Peter, Martinez, Rodolfo Vasquez, Vieira, Ima Celia Guimaraes, Vieira, Simone A., Vilanova, Emilio, Cayo, Jeanneth Villalobos, Wang, Ophelia, Webb, Campbell O., Webb, Edward L., White, Lee, Whitfeld, Timothy J. S., Wich, Serge, Willcock, Simon, Wiser, Susan K., Young, Kenneth R., Zakaria, Rahmad, Zang, Runguo, Zartman, Charles E., Zo-Bi, Irie Casimir, Balslev, Henrik, Muscarella, Robert, Emilio, Thaise, Phillips, Oliver L., Lewis, Simon L., Slik, Ferry, Baker, William J., Couvreur, Thomas L. P., Eiserhardt, Wolf L., Svenning, Jens-Christian, Affum-Baffoe, Kofi, Aiba, Shin-Ichiro, de Almeida, Everton C., de Almeida, Samuel S., de Oliveira, Edmar Almeida, alvarez-Davila, Esteban, Alves, Luciana F., Alvez-Valles, Carlos Mariano, Carvalho, Fabricio Alvim, Guarin, Fernando Alzate, Andrade, Ana, Aragao, Luis E. O. C., Murakami, Alejandro Araujo, Arroyo, Luzmila, Ashton, Peter S., Corredor, Gerardo A. Aymard, Baker, Timothy R., de Camargo, Plinio Barbosa, Barlow, Jos, Bastin, Jean-Francois, Bengone, Natacha Nssi, Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Boehning-Gaese, Katrin, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brambach, Fabian, Brearley, Francis Q., Brewer, Steven W., Camargo, Jose L. C., Campbell, David G., Castilho, Carolina V., Castro, Wendeson, Catchpole, Damien, Ceron Martinez, Carlos E., Chen, Shengbin, Chhang, Phourin, Cho, Percival, Chutipong, Wanlop, Clark, Connie, Collins, Murray, Comiskey, James A., Medina, Massiel Nataly Corrales, Costa, Flavia R. C., Culmsee, Heike, David-Higuita, Heriberto, Davidar, Priya, del Aguila-Pasquel, Jhon, Derroire, Geraldine, Di Fiore, Anthony, Van Do, Tran, Doucet, Jean-Louis, Dourdain, Aurelie, Drake, Donald R., Ensslin, Andreas, Erwin, Terry, Ewango, Corneille E. N., Ewers, Robert M., Fauset, Sophie, Feldpausch, Ted R., Ferreira, Joice, Ferreira, Leandro Valle, Fischer, Markus, Franklin, Janet, Fredriksson, Gabriella M., Gillespie, Thomas W., Gilpin, Martin, Gonmadje, Christelle, Gunatilleke, Arachchige Upali Nimal, Hakeem, Khalid Rehman, Hall, Jefferson S., Hamer, Keith C., Harris, David J., Harrison, Rhett D., Hector, Andrew, Hemp, Andreas, Herault, Bruno, Pizango, Carlos Gabriel Hidalgo, Coronado, Euridice N. Honorio, Hubau, Wannes, Hussain, Mohammad Shah, Ibrahim, Faridah-Hanum, Imai, Nobuo, Joly, Carlos A., Joseph, Shijo, Anitha, K., Kartawinata, Kuswata, Kassi, Justin, Killeen, Timothy J., Kitayama, Kanehiro, Klitgard, Bente Bang, Kooyman, Robert, Labriere, Nicolas, Larney, Eileen, Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Levesley, Aurora, Lisingo, Janvier, Lovejoy, Thomas, Lovett, Jon C., Lu, Xinghui, Lykke, Anne Mette, Magnusson, William E., Mahayani, Ni Putu Diana, Malhi, Yadvinder, Mansor, Asyraf, Pena, Jose Luis Marcelo, Marimon-Junior, Ben H., Marshall, Andrew R., Melgaco, Karina, Bautista, Casimiro Mendoza, Mihindou, Vianet, Millet, Jerome, Milliken, William, Mohandass, D., Mendoza, Abel Lorenzo Monteagudo, Mugerwa, Badru, Nagamasu, Hidetoshi, Nagy, Laszlo, Seuaturien, Naret, Nascimento, Marcelo T., Neill, David A., Neto, Luiz Menini, Nilus, Rueben, Vargas, Mario Percy Nunez, Nurtjahya, Eddy, de Araujo, R. Nazare O., Onrizal, Onrizal, Palacios, Walter A., Palacios-Ramos, Sonia, Parren, Marc, Paudel, Ekananda, Morandi, Paulo S., Pennington, R. Toby, Pickavance, Georgia, Pipoly, John J., III, Pitman, Nigel C. A., Poedjirahajoe, Erny, Poorter, Lourens, Poulsen, John R., Rama Chandra Prasad, P., Prieto, Adriana, Puyravaud, Jean-Philippe, Qie, Lan, Quesada, Carlos A., Ramirez-Angulo, Hirma, Razafimahaimodison, Jean Claude, Reitsma, Jan Meindert, Requena-Rojas, Edilson J., Correa, Zorayda Restrepo, Rodriguez, Carlos Reynel, Roopsind, Anand, Rovero, Francesco, Rozak, Andes, Lleras, Agustin Rudas, Rutishauser, Ervan, Rutten, Gemma, Punchi-Manage, Ruwan, Salomao, Rafael P., Van Sam, Hoang, Sarker, Swapan Kumar, Satdichanh, Manichanh, Schietti, Juliana, Schmitt, Christine B., Marimon, Beatriz Schwantes, Senbeta, Feyera, Nath Sharma, Lila, Sheil, Douglas, Sierra, Rodrigo, Silva-Espejo, Javier E., Silveira, Marcos, Sonke, Bonaventure, Steininger, Marc K., Steinmetz, Robert, Stevart, Tariq, Sukumar, Raman, Sultana, Aisha, Sunderland, Terry C. H., Suresh, Hebbalalu Satyanarayana, Tang, Jianwei, Tanner, Edmund, ter Steege, Hans, Terborgh, John W., Theilade, Ida, Timberlake, Jonathan, Torres-Lezama, Armando, Umunay, Peter, Uriarte, Maria, Gamarra, Luis Valenzuela, van de Bult, Mariam, van der Hout, Peter, Martinez, Rodolfo Vasquez, Vieira, Ima Celia Guimaraes, Vieira, Simone A., Vilanova, Emilio, Cayo, Jeanneth Villalobos, Wang, Ophelia, Webb, Campbell O., Webb, Edward L., White, Lee, Whitfeld, Timothy J. S., Wich, Serge, Willcock, Simon, Wiser, Susan K., Young, Kenneth R., Zakaria, Rahmad, Zang, Runguo, Zartman, Charles E., Zo-Bi, Irie Casimir, and Balslev, Henrik
Abstract: Aim Palms are an iconic, diverse and often abundant component of tropical ecosystems that provide many ecosystem services. Being monocots, tree palms are evolutionarily, morphologically and physiologically distinct from other trees, and these differences have important consequences for ecosystem services (e.g., carbon sequestration and storage) and in terms of responses to climate change. We quantified global patterns of tree palm relative abundance to help improve understanding of tropical forests and reduce uncertainty about these ecosystems under climate change. Location Tropical and subtropical moist forests. Time period Current. Major taxa studied Palms (Arecaceae). Methods We assembled a pantropical dataset of 2,548 forest plots (covering 1,191 ha) and quantified tree palm (i.e., ≥10 cm diameter at breast height) abundance relative to co‐occurring non‐palm trees. We compared the relative abundance of tree palms across biogeographical realms and tested for associations with palaeoclimate stability, current climate, edaphic conditions and metrics of forest structure. Results On average, the relative abundance of tree palms was more than five times larger between Neotropical locations and other biogeographical realms. Tree palms were absent in most locations outside the Neotropics but present in >80% of Neotropical locations. The relative abundance of tree palms was more strongly associated with local conditions (e.g., higher mean annual precipitation, lower soil fertility, shallower water table and lower plot mean wood density) than metrics of long‐term climate stability. Life‐form diversity also influenced the patterns; palm assemblages outside the Neotropics comprise many non‐tree (e.g., climbing) palms. Finally, we show that tree palms can influence estimates of above‐ground biomass, but the magnitude and direction of the effect require additional work. Conclusions Tree palms are not only quintessentially tropical, but they are also overwhelmingly Neotropi
Published: 2020
Full Text: View/download PDF

21. User characteristics and outcomes from a national digital mental health service : an observational study of registrants of the Australian MindSpot Clinic.

Author: Titov, Nickolai, Dear, Blake F, Nielssen, Olav, Wootton, Bethany, Kayrouz, Rony, Karin, Eyal, Genest, Ben, Bennett-Levy, James, Purtell, Carol, Bezuidenhout, Greg, Tan, Rheza, Minissale, Casey, Thadhani, Priti, Webb, Nick, Willcock, Simon, Andersson, Gerhard, Hadjistavropoulos, Heather D, Mohr, David C, Kavanagh, David J, Cross, Shane, Staples, Lauren G, Titov, Nickolai, Dear, Blake F, Nielssen, Olav, Wootton, Bethany, Kayrouz, Rony, Karin, Eyal, Genest, Ben, Bennett-Levy, James, Purtell, Carol, Bezuidenhout, Greg, Tan, Rheza, Minissale, Casey, Thadhani, Priti, Webb, Nick, Willcock, Simon, Andersson, Gerhard, Hadjistavropoulos, Heather D, Mohr, David C, Kavanagh, David J, Cross, Shane, and Staples, Lauren G
Abstract: Background: Interest is growing in digital and telehealth delivery of mental health services, but data are scarce on outcomes in routine care. The federally funded Australian MindSpot Clinic provides online and telephone psychological assessment and treatment services to Australian adults. We aimed to summarise demographic characteristics and treatment outcomes of patients registered with MindSpot over the first 7 years of clinic operation. Methods: We used an observational design to review all patients who registered for assessment with the MindSpot Clinic between Jan 1, 2013, and Dec 31, 2019. We descriptively analysed the demographics, service preferences, and baseline symptoms of patients. Among patients enrolled in a digital treatment course, we evaluated scales of depression (Patient Health Questionnaire-9 [PHQ-9]) and anxiety (Generalized Anxiety Disorder 7-Item Scale [GAD-7]), as primary measures of treatment outcome, from the screening assessment to post-treatment and a 3 month follow-up. The Kessler Psychological Distress 10-Item Plus Scale was also used to assess changes in general distress and disability, and course satisfaction was measured post-treatment. Outcomes: A total of 121 652 screening assessments were started, of which 96 018 (78·9%) were completed. The mean age of patients was 35·7 years (SD 13·8) and 88 702 (72·9%) were women. Based on available assessment data, 36 866 (34·5%) of 106 811 participants had never previously spoken to a health professional about their symptoms, and most people self-reported symptoms of anxiety (88 879 [81·9%] of 108 494) or depression (78 803 [72·6%] of 108 494), either alone or in combination, at baseline. 21 745 patients started treatment in a therapist-guided online course, of whom 14 503 (66·7%) completed treatment (≥four of five lessons). Key trends in service use included an increase in the proportion of people using MindSpot primarily for assessment and information, from 52·6% in 2013 to 66·7% in 2019, wh, Funding agencies: Australian GovernmentAustralian GovernmentCGIAR
Published: 2020
Full Text: View/download PDF

22. Ensembles of ecosystem service models can improve accuracy and indicate uncertainty

Author: Willcock, Simon, Hooftman, Danny A. P., Blanchard, Ryan, Dawson, Terence P., Hickler, Thomas, Lindeskog, Mats, Martinez-Lopez, Javier, Reyers, Belinda, Watts, Sophie M., Eigenbrod, Felix, Bullock, James M., Willcock, Simon, Hooftman, Danny A. P., Blanchard, Ryan, Dawson, Terence P., Hickler, Thomas, Lindeskog, Mats, Martinez-Lopez, Javier, Reyers, Belinda, Watts, Sophie M., Eigenbrod, Felix, and Bullock, James M.
Abstract: Many ecosystem services (ES) models exist to support sustainable development decisions. However, most ES studies use only a single modelling framework and, because of a lack of validation data, rarely assess model accuracy for the study area. In line with other research themes which have high model uncertainty, such as climate change, ensembles of ES models may better serve decision-makers by providing more robust and accurate estimates, as well as provide indications of uncertainty when validation data are not available. To illustrate the benefits of an ensemble approach, we highlight the variation between alternative models, demonstrating that there are large geographic regions where decisions based on individual models are not robust. We test if ensembles are more accurate by comparing the ensemble accuracy of multiple models for six ES against validation data across sub-Saharan Africa with the accuracy of individual models. We find that ensembles are better predictors of ES, being 5.0-6.1% more accurate than individual models. We also find that the uncertainty (i.e. variation among constituent models) of the model ensemble is negatively correlated with accuracy and so can be used as a proxy for accuracy when validation is not possible (e.g. in data-deficient areas or when developing scenarios). Since ensembles are more robust, accurate and convey uncertainty, we recommend that ensemble modelling should be more widely implemented within ES science to better support policy choices and implementation.
Published: 2020
Full Text: View/download PDF

23. Long-term thermal sensitivity of Earth’s tropical forests

Author: Sub Ecology and Biodiversity, Sub Animal Ecology, Ecology and Biodiversity, Animal Ecology, Sullivan, Martin J. P., Lewis, Simon L., Affum-baffoe, Kofi, Castilho, Carolina, Costa, Flávia, Sanchez, Aida Cuni, Ewango, Corneille E. N., Hubau, Wannes, Marimon, Beatriz, Monteagudo-mendoza, Abel, Qie, Lan, Sonké, Bonaventure, Martinez, Rodolfo Vasquez, Baker, Timothy R., Brienen, Roel J. W., Feldpausch, Ted R., Galbraith, David, Gloor, Manuel, Malhi, Yadvinder, Aiba, Shin-ichiro, Alexiades, Miguel N., Almeida, Everton C., De Oliveira, Edmar Almeida, Dávila, Esteban Álvarez, Loayza, Patricia Alvarez, Andrade, Ana, Vieira, Simone Aparecida, Aragão, Luiz E. O. C., Araujo-murakami, Alejandro, Arets, Eric J. M. M., Arroyo, Luzmila, Ashton, Peter, Aymard C., Gerardo, Baccaro, Fabrício B., Banin, Lindsay F., Baraloto, Christopher, Camargo, Plínio Barbosa, Barlow, Jos, Barroso, Jorcely, Bastin, Jean-françois, Batterman, Sarah A., Beeckman, Hans, Begne, Serge K., Bennett, Amy C., Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Boeckx, Pascal, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brearley, Francis Q., Brncic, Terry, Brown, Foster, Burban, Benoit, Camargo, José Luís, Castro, Wendeson, Céron, Carlos, Ribeiro, Sabina Cerruto, Moscoso, Victor Chama, Chave, Jerôme, Chezeaux, Eric, Clark, Connie J., De Souza, Fernanda Coelho, Collins, Murray, Comiskey, James A., Valverde, Fernando Cornejo, Medina, Massiel Corrales, Da Costa, Lola, Dančák, Martin, Dargie, Greta C., Davies, Stuart, Cardozo, Nallaret Davila, De Haulleville, Thales, De Medeiros, Marcelo Brilhante, Del Aguila Pasquel, Jhon, Derroire, Géraldine, Di Fiore, Anthony, Doucet, Jean-louis, Dourdain, Aurélie, Droissart, Vincent, Duque, Luisa Fernanda, Ekoungoulou, Romeo, Elias, Fernando, Erwin, Terry, Esquivel-muelbert, Adriane, Fauset, Sophie, Ferreira, Joice, Llampazo, Gerardo Flores, Foli, Ernest, Ford, Andrew, Gilpin, Martin, Hall, Jefferson S., Hamer, Keith C., Hamilton, Alan C., Harris, David J., Hart, Terese B., Hédl, Radim, Herault, Bruno, Herrera, Rafael, Higuchi, Niro, Hladik, Annette, Coronado, Eurídice Honorio, Huamantupa-chuquimaco, Isau, Huasco, Walter Huaraca, Jeffery, Kathryn J., Jimenez-rojas, Eliana, Kalamandeen, Michelle, Djuikouo, Marie Noël Kamdem, Kearsley, Elizabeth, Umetsu, Ricardo Keichi, Kho, Lip Khoon, Killeen, Timothy, Kitayama, Kanehiro, Klitgaard, Bente, Koch, Alexander, Labrière, Nicolas, Laurance, William, Laurance, Susan, Leal, Miguel E., Levesley, Aurora, Lima, Adriano J. N., Lisingo, Janvier, Lopes, Aline P., Lopez-gonzalez, Gabriela, Lovejoy, Tom, Lovett, Jon C., Lowe, Richard, Magnusson, William E., Malumbres-olarte, Jagoba, Manzatto, Ângelo Gilberto, Marimon, Ben Hur, Marshall, Andrew R., Marthews, Toby, De Almeida Reis, Simone Matias, Maycock, Colin, Melgaço, Karina, Mendoza, Casimiro, Metali, Faizah, Mihindou, Vianet, Milliken, William, Mitchard, Edward T. A., Morandi, Paulo S., Mossman, Hannah L., Nagy, Laszlo, Nascimento, Henrique, Neill, David, Nilus, Reuben, Vargas, Percy Núñez, Palacios, Walter, Camacho, Nadir Pallqui, Peacock, Julie, Pendry, Colin, Peñuela Mora, Maria Cristina, Pickavance, Georgia C., Pipoly, John, Pitman, Nigel, Playfair, Maureen, Poorter, Lourens, Poulsen, John R., Poulsen, Axel Dalberg, Preziosi, Richard, Prieto, Adriana, Primack, Richard B., Ramírez-angulo, Hirma, Reitsma, Jan, Réjou-méchain, Maxime, Correa, Zorayda Restrepo, De Sousa, Thaiane Rodrigues, Bayona, Lily Rodriguez, Roopsind, Anand, Rudas, Agustín, Rutishauser, Ervan, Abu Salim, Kamariah, Salomão, Rafael P., Schietti, Juliana, Sheil, Douglas, Silva, Richarlly C., Espejo, Javier Silva, Valeria, Camila Silva, Silveira, Marcos, Simo-droissart, Murielle, Simon, Marcelo Fragomeni, Singh, James, Soto Shareva, Yahn Carlos, Stahl, Clement, Stropp, Juliana, Sukri, Rahayu, Sunderland, Terry, Svátek, Martin, Swaine, Michael D., Swamy, Varun, Taedoumg, Hermann, Talbot, Joey, Taplin, James, Taylor, David, Ter Steege, Hans, Terborgh, John, Thomas, Raquel, Thomas, Sean C., Torres-lezama, Armando, Umunay, Peter, Gamarra, Luis Valenzuela, Van Der Heijden, Geertje, Van Der Hout, Peter, Van Der Meer, Peter, Van Nieuwstadt, Mark, Verbeeck, Hans, Vernimmen, Ronald, Vicentini, Alberto, Vieira, Ima Célia Guimarães, Torre, Emilio Vilanova, Vleminckx, Jason, Vos, Vincent, Wang, Ophelia, White, Lee J. T., Willcock, Simon, Woods, John T., Wortel, Verginia, Young, Kenneth, Zagt, Roderick, Zemagho, Lise, Zuidema, Pieter A., Zwerts, Joeri A., Phillips, Oliver L., Sub Ecology and Biodiversity, Sub Animal Ecology, Ecology and Biodiversity, Animal Ecology, Sullivan, Martin J. P., Lewis, Simon L., Affum-baffoe, Kofi, Castilho, Carolina, Costa, Flávia, Sanchez, Aida Cuni, Ewango, Corneille E. N., Hubau, Wannes, Marimon, Beatriz, Monteagudo-mendoza, Abel, Qie, Lan, Sonké, Bonaventure, Martinez, Rodolfo Vasquez, Baker, Timothy R., Brienen, Roel J. W., Feldpausch, Ted R., Galbraith, David, Gloor, Manuel, Malhi, Yadvinder, Aiba, Shin-ichiro, Alexiades, Miguel N., Almeida, Everton C., De Oliveira, Edmar Almeida, Dávila, Esteban Álvarez, Loayza, Patricia Alvarez, Andrade, Ana, Vieira, Simone Aparecida, Aragão, Luiz E. O. C., Araujo-murakami, Alejandro, Arets, Eric J. M. M., Arroyo, Luzmila, Ashton, Peter, Aymard C., Gerardo, Baccaro, Fabrício B., Banin, Lindsay F., Baraloto, Christopher, Camargo, Plínio Barbosa, Barlow, Jos, Barroso, Jorcely, Bastin, Jean-françois, Batterman, Sarah A., Beeckman, Hans, Begne, Serge K., Bennett, Amy C., Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Boeckx, Pascal, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brearley, Francis Q., Brncic, Terry, Brown, Foster, Burban, Benoit, Camargo, José Luís, Castro, Wendeson, Céron, Carlos, Ribeiro, Sabina Cerruto, Moscoso, Victor Chama, Chave, Jerôme, Chezeaux, Eric, Clark, Connie J., De Souza, Fernanda Coelho, Collins, Murray, Comiskey, James A., Valverde, Fernando Cornejo, Medina, Massiel Corrales, Da Costa, Lola, Dančák, Martin, Dargie, Greta C., Davies, Stuart, Cardozo, Nallaret Davila, De Haulleville, Thales, De Medeiros, Marcelo Brilhante, Del Aguila Pasquel, Jhon, Derroire, Géraldine, Di Fiore, Anthony, Doucet, Jean-louis, Dourdain, Aurélie, Droissart, Vincent, Duque, Luisa Fernanda, Ekoungoulou, Romeo, Elias, Fernando, Erwin, Terry, Esquivel-muelbert, Adriane, Fauset, Sophie, Ferreira, Joice, Llampazo, Gerardo Flores, Foli, Ernest, Ford, Andrew, Gilpin, Martin, Hall, Jefferson S., Hamer, Keith C., Hamilton, Alan C., Harris, David J., Hart, Terese B., Hédl, Radim, Herault, Bruno, Herrera, Rafael, Higuchi, Niro, Hladik, Annette, Coronado, Eurídice Honorio, Huamantupa-chuquimaco, Isau, Huasco, Walter Huaraca, Jeffery, Kathryn J., Jimenez-rojas, Eliana, Kalamandeen, Michelle, Djuikouo, Marie Noël Kamdem, Kearsley, Elizabeth, Umetsu, Ricardo Keichi, Kho, Lip Khoon, Killeen, Timothy, Kitayama, Kanehiro, Klitgaard, Bente, Koch, Alexander, Labrière, Nicolas, Laurance, William, Laurance, Susan, Leal, Miguel E., Levesley, Aurora, Lima, Adriano J. N., Lisingo, Janvier, Lopes, Aline P., Lopez-gonzalez, Gabriela, Lovejoy, Tom, Lovett, Jon C., Lowe, Richard, Magnusson, William E., Malumbres-olarte, Jagoba, Manzatto, Ângelo Gilberto, Marimon, Ben Hur, Marshall, Andrew R., Marthews, Toby, De Almeida Reis, Simone Matias, Maycock, Colin, Melgaço, Karina, Mendoza, Casimiro, Metali, Faizah, Mihindou, Vianet, Milliken, William, Mitchard, Edward T. A., Morandi, Paulo S., Mossman, Hannah L., Nagy, Laszlo, Nascimento, Henrique, Neill, David, Nilus, Reuben, Vargas, Percy Núñez, Palacios, Walter, Camacho, Nadir Pallqui, Peacock, Julie, Pendry, Colin, Peñuela Mora, Maria Cristina, Pickavance, Georgia C., Pipoly, John, Pitman, Nigel, Playfair, Maureen, Poorter, Lourens, Poulsen, John R., Poulsen, Axel Dalberg, Preziosi, Richard, Prieto, Adriana, Primack, Richard B., Ramírez-angulo, Hirma, Reitsma, Jan, Réjou-méchain, Maxime, Correa, Zorayda Restrepo, De Sousa, Thaiane Rodrigues, Bayona, Lily Rodriguez, Roopsind, Anand, Rudas, Agustín, Rutishauser, Ervan, Abu Salim, Kamariah, Salomão, Rafael P., Schietti, Juliana, Sheil, Douglas, Silva, Richarlly C., Espejo, Javier Silva, Valeria, Camila Silva, Silveira, Marcos, Simo-droissart, Murielle, Simon, Marcelo Fragomeni, Singh, James, Soto Shareva, Yahn Carlos, Stahl, Clement, Stropp, Juliana, Sukri, Rahayu, Sunderland, Terry, Svátek, Martin, Swaine, Michael D., Swamy, Varun, Taedoumg, Hermann, Talbot, Joey, Taplin, James, Taylor, David, Ter Steege, Hans, Terborgh, John, Thomas, Raquel, Thomas, Sean C., Torres-lezama, Armando, Umunay, Peter, Gamarra, Luis Valenzuela, Van Der Heijden, Geertje, Van Der Hout, Peter, Van Der Meer, Peter, Van Nieuwstadt, Mark, Verbeeck, Hans, Vernimmen, Ronald, Vicentini, Alberto, Vieira, Ima Célia Guimarães, Torre, Emilio Vilanova, Vleminckx, Jason, Vos, Vincent, Wang, Ophelia, White, Lee J. T., Willcock, Simon, Woods, John T., Wortel, Verginia, Young, Kenneth, Zagt, Roderick, Zemagho, Lise, Zuidema, Pieter A., Zwerts, Joeri A., and Phillips, Oliver L.
Published: 2020

24. Long-term thermal sensitivity of Earth’s tropical forests

Author: Sullivan, Martin J.P., Lewis, Simon L., Affum-Baffoe, Kofi, Castilho, Carolina, Costa, Flávia, Sanchez, Aida Cuni, Ewango, Corneille E.N., Hubau, Wannes, Marimon, Beatriz, Monteagudo-Mendoza, Abel, Qie, Lan, Sonké, Bonaventure, Martinez, Rodolfo Vasquez, Baker, Timothy R., Brienen, Roel J.W., Feldpausch, Ted R., Galbraith, David, Gloor, Manuel, Malhi, Yadvinder, Aiba, Shin-Ichiro, Alexiades, Miguel N., Almeida, Everton C., de Oliveira, Edmar Almeida, Dávila, Esteban Álvarez, Loayza, Patricia Alvarez, Andrade, Ana, Vieira, Simone Aparecida, Aragão, Luiz E.O.C., Araujo-Murakami, Alejandro, Arets, Eric J.M.M., Arroyo, Luzmila, Ashton, Peter, Aymard C., Gerardo, Baccaro, Fabrício B., Banin, Lindsay F., Baraloto, Christopher, Camargo, Plínio Barbosa, Barlow, Jos, Barroso, Jorcely, Bastin, Jean-François, Batterman, Sarah A., Beeckman, Hans, Begne, Serge K., Bennett, Amy C., Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Boeckx, Pascal, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brearley, Francis Q., Brncic, Terry, Brown, Foster, Burban, Benoit, Camargo, José Luís, Castro, Wendeson, Céron, Carlos, Ribeiro, Sabina Cerruto, Moscoso, Victor Chama, Chave, Jerôme, Chezeaux, Eric, Clark, Connie J., de Souza, Fernanda Coelho, Collins, Murray, Comiskey, James A., Valverde, Fernando Cornejo, Medina, Massiel Corrales, da Costa, Lola, Dančák, Martin, Dargie, Greta C., Davies, Stuart, Cardozo, Nallaret Davila, de Haulleville, Thales, de Medeiros, Marcelo Brilhante, del Aguila Pasquel, Jhon, Derroire, Géraldine, Di Fiore, Anthony, Doucet, Jean-Louis, Dourdain, Aurélie, Droissart, Vincent, Duque, Luisa Fernanda, Ekoungoulou, Romeo, Elias, Fernando, Erwin, Terry, Esquivel-Muelbert, Adriane, Fauset, Sophie, Ferreira, Joice, Llampazo, Gerardo Flores, Foli, Ernest, Ford, Andrew, Gilpin, Martin, Hall, Jefferson S., Hamer, Keith C., Hamilton, Alan C., Harris, David J., Hart, Terese B., Hédl, Radim, Herault, Bruno, Herrera, Rafael, Higuchi, Niro, Hladik, Annette, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Jeffery, Kathryn J., Jimenez-Rojas, Eliana, Kalamandeen, Michelle, Djuikouo, Marie Noël Kamdem, Kearsley, Elizabeth, Umetsu, Ricardo Keichi, Kho, Lip Khoon, Killeen, Timothy, Kitayama, Kanehiro, Klitgaard, Bente, Koch, Alexander, Labrière, Nicolas, Laurance, William, Laurance, Susan, Leal, Miguel E., Levesley, Aurora, Lima, Adriano J.N., Lisingo, Janvier, Lopes, Aline P., Lopez-Gonzalez, Gabriela, Lovejoy, Tom, Lovett, Jon C., Lowe, Richard, Magnusson, William E., Malumbres-Olarte, Jagoba, Manzatto, Ângelo Gilberto, Marimon, Ben Hur, Marshall, Andrew R., Marthews, Toby, de Almeida Reis, Simone Matias, Maycock, Colin, Melgaço, Karina, Mendoza, Casimiro, Metali, Faizah, Mihindou, Vianet, Milliken, William, Mitchard, Edward T.A., Morandi, Paulo S., Mossman, Hannah L., Nagy, Laszlo, Nascimento, Henrique, Neill, David, Nilus, Reuben, Vargas, Percy Núñez, Palacios, Walter, Camacho, Nadir Pallqui, Peacock, Julie, Pendry, Colin, Peñuela Mora, Maria Cristina, Pickavance, Georgia C., Pipoly, John, Pitman, Nigel, Playfair, Maureen, Poorter, Lourens, Poulsen, John R., Poulsen, Axel Dalberg, Preziosi, Richard, Prieto, Adriana, Primack, Richard B., Ramírez-Angulo, Hirma, Reitsma, Jan, Réjou-Méchain, Maxime, Correa, Zorayda Restrepo, de Sousa, Thaiane Rodrigues, Bayona, Lily Rodriguez, Roopsind, Anand, Rudas, Agustín, Rutishauser, Ervan, Abu Salim, Kamariah, Salomão, Rafael P., Schietti, Juliana, Sheil, Douglas, Silva, Richarlly C., Espejo, Javier Silva, Valeria, Camila Silva, Silveira, Marcos, Simo-Droissart, Murielle, Simon, Marcelo Fragomeni, Singh, James, Soto Shareva, Yahn Carlos, Stahl, Clement, Stropp, Juliana, Sukri, Rahayu, Sunderland, Terry, Svátek, Martin, Swaine, Michael D., Swamy, Varun, Taedoumg, Hermann, Talbot, Joey, Taplin, James, Taylor, David, ter Steege, Hans, Terborgh, John, Thomas, Raquel, Thomas, Sean C., Torres-Lezama, Armando, Umunay, Peter, Gamarra, Luis Valenzuela, van der Heijden, Geertje, van der Hout, Peter, van der Meer, Peter, van Nieuwstadt, Mark, Verbeeck, Hans, Vernimmen, Ronald, Vicentini, Alberto, Vieira, Ima Célia Guimarães, Torre, Emilio Vilanova, Vleminckx, Jason, Vos, Vincent, Wang, Ophelia, White, Lee J.T., Willcock, Simon, Woods, John T., Wortel, Verginia, Young, Kenneth, Zagt, Roderick, Zemagho, Lise, Zuidema, Pieter A., Zwerts, Joeri A., Phillips, Oliver L., Sullivan, Martin J.P., Lewis, Simon L., Affum-Baffoe, Kofi, Castilho, Carolina, Costa, Flávia, Sanchez, Aida Cuni, Ewango, Corneille E.N., Hubau, Wannes, Marimon, Beatriz, Monteagudo-Mendoza, Abel, Qie, Lan, Sonké, Bonaventure, Martinez, Rodolfo Vasquez, Baker, Timothy R., Brienen, Roel J.W., Feldpausch, Ted R., Galbraith, David, Gloor, Manuel, Malhi, Yadvinder, Aiba, Shin-Ichiro, Alexiades, Miguel N., Almeida, Everton C., de Oliveira, Edmar Almeida, Dávila, Esteban Álvarez, Loayza, Patricia Alvarez, Andrade, Ana, Vieira, Simone Aparecida, Aragão, Luiz E.O.C., Araujo-Murakami, Alejandro, Arets, Eric J.M.M., Arroyo, Luzmila, Ashton, Peter, Aymard C., Gerardo, Baccaro, Fabrício B., Banin, Lindsay F., Baraloto, Christopher, Camargo, Plínio Barbosa, Barlow, Jos, Barroso, Jorcely, Bastin, Jean-François, Batterman, Sarah A., Beeckman, Hans, Begne, Serge K., Bennett, Amy C., Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Boeckx, Pascal, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brearley, Francis Q., Brncic, Terry, Brown, Foster, Burban, Benoit, Camargo, José Luís, Castro, Wendeson, Céron, Carlos, Ribeiro, Sabina Cerruto, Moscoso, Victor Chama, Chave, Jerôme, Chezeaux, Eric, Clark, Connie J., de Souza, Fernanda Coelho, Collins, Murray, Comiskey, James A., Valverde, Fernando Cornejo, Medina, Massiel Corrales, da Costa, Lola, Dančák, Martin, Dargie, Greta C., Davies, Stuart, Cardozo, Nallaret Davila, de Haulleville, Thales, de Medeiros, Marcelo Brilhante, del Aguila Pasquel, Jhon, Derroire, Géraldine, Di Fiore, Anthony, Doucet, Jean-Louis, Dourdain, Aurélie, Droissart, Vincent, Duque, Luisa Fernanda, Ekoungoulou, Romeo, Elias, Fernando, Erwin, Terry, Esquivel-Muelbert, Adriane, Fauset, Sophie, Ferreira, Joice, Llampazo, Gerardo Flores, Foli, Ernest, Ford, Andrew, Gilpin, Martin, Hall, Jefferson S., Hamer, Keith C., Hamilton, Alan C., Harris, David J., Hart, Terese B., Hédl, Radim, Herault, Bruno, Herrera, Rafael, Higuchi, Niro, Hladik, Annette, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Jeffery, Kathryn J., Jimenez-Rojas, Eliana, Kalamandeen, Michelle, Djuikouo, Marie Noël Kamdem, Kearsley, Elizabeth, Umetsu, Ricardo Keichi, Kho, Lip Khoon, Killeen, Timothy, Kitayama, Kanehiro, Klitgaard, Bente, Koch, Alexander, Labrière, Nicolas, Laurance, William, Laurance, Susan, Leal, Miguel E., Levesley, Aurora, Lima, Adriano J.N., Lisingo, Janvier, Lopes, Aline P., Lopez-Gonzalez, Gabriela, Lovejoy, Tom, Lovett, Jon C., Lowe, Richard, Magnusson, William E., Malumbres-Olarte, Jagoba, Manzatto, Ângelo Gilberto, Marimon, Ben Hur, Marshall, Andrew R., Marthews, Toby, de Almeida Reis, Simone Matias, Maycock, Colin, Melgaço, Karina, Mendoza, Casimiro, Metali, Faizah, Mihindou, Vianet, Milliken, William, Mitchard, Edward T.A., Morandi, Paulo S., Mossman, Hannah L., Nagy, Laszlo, Nascimento, Henrique, Neill, David, Nilus, Reuben, Vargas, Percy Núñez, Palacios, Walter, Camacho, Nadir Pallqui, Peacock, Julie, Pendry, Colin, Peñuela Mora, Maria Cristina, Pickavance, Georgia C., Pipoly, John, Pitman, Nigel, Playfair, Maureen, Poorter, Lourens, Poulsen, John R., Poulsen, Axel Dalberg, Preziosi, Richard, Prieto, Adriana, Primack, Richard B., Ramírez-Angulo, Hirma, Reitsma, Jan, Réjou-Méchain, Maxime, Correa, Zorayda Restrepo, de Sousa, Thaiane Rodrigues, Bayona, Lily Rodriguez, Roopsind, Anand, Rudas, Agustín, Rutishauser, Ervan, Abu Salim, Kamariah, Salomão, Rafael P., Schietti, Juliana, Sheil, Douglas, Silva, Richarlly C., Espejo, Javier Silva, Valeria, Camila Silva, Silveira, Marcos, Simo-Droissart, Murielle, Simon, Marcelo Fragomeni, Singh, James, Soto Shareva, Yahn Carlos, Stahl, Clement, Stropp, Juliana, Sukri, Rahayu, Sunderland, Terry, Svátek, Martin, Swaine, Michael D., Swamy, Varun, Taedoumg, Hermann, Talbot, Joey, Taplin, James, Taylor, David, ter Steege, Hans, Terborgh, John, Thomas, Raquel, Thomas, Sean C., Torres-Lezama, Armando, Umunay, Peter, Gamarra, Luis Valenzuela, van der Heijden, Geertje, van der Hout, Peter, van der Meer, Peter, van Nieuwstadt, Mark, Verbeeck, Hans, Vernimmen, Ronald, Vicentini, Alberto, Vieira, Ima Célia Guimarães, Torre, Emilio Vilanova, Vleminckx, Jason, Vos, Vincent, Wang, Ophelia, White, Lee J.T., Willcock, Simon, Woods, John T., Wortel, Verginia, Young, Kenneth, Zagt, Roderick, Zemagho, Lise, Zuidema, Pieter A., Zwerts, Joeri A., and Phillips, Oliver L.
Abstract: The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (−9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per °C in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth’s climate.
Published: 2020

25. Asynchronous carbon sink saturation in African and Amazonian tropical forests

Author: Hubau, Wannes, Lewis, Simon L., Phillips, Oliver L., Affum-Baffoe, Kofi, Beeckman, Hans, Cuní-Sanchez, Aida, Daniels, Armandu K., Ewango, Corneille E.N., Fauset, Sophie, Mukinzi, Jacques M., Sheil, Douglas, Sonké, Bonaventure, Sullivan, Martin J.P., Sunderland, Terry C.H., Taedoumg, Hermann, Thomas, Sean C., White, Lee J.T., Abernethy, Katharine A., Adu-Bredu, Stephen, Amani, Christian A., Baker, Timothy R., Banin, Lindsay F., Baya, Fidèle, Begne, Serge K., Bennett, Amy C., Benedet, Fabrice, Bitariho, Robert, Bocko, Yannick E., Boeckx, Pascal, Boundja, Patrick, Brienen, Roel J.W., Brncic, Terry, Chezeaux, Eric, Chuyong, George B., Clark, Connie J., Collins, Murray, Comiskey, James A., Coomes, David A., Dargie, Greta C., de Haulleville, Thales, Kamdem, Marie Noel Djuikouo, Doucet, Jean-Louis, Esquivel-Muelbert, Adriane, Feldpausch, Ted R., Fofanah, Alusine, Foli, Ernest G., Gilpin, Martin, Gloor, Emanuel, Gonmadje, Christelle, Gourlet-Fleury, Sylvie, Hall, Jefferson S., Hamilton, Alan C., Harris, David J., Hart, Terese B., Hockemba, Mireille B.N., Hladik, Annette, Ifo, Suspense A., Jeffery, Kathryn J., Jucker, Tommaso, Yakusu, Emmanuel Kasongo, Kearsley, Elizabeth, Kenfack, David, Koch, Alexander, Leal, Miguel E., Levesley, Aurora, Lindsell, Jeremy A., Lisingo, Janvier, Lopez-Gonzalez, Gabriela, Lovett, Jon C., Makana, Jean-Remy, Malhi, Yadvinder, Marshall, Andrew R., Martin, Jim, Martin, Emanuel H., Mbayu, Faustin M., Medjibe, Vincent P., Mihindou, Vianet, Mitchard, Edward T.A., Moore, Sam, Munishi, Pantaleo K.T., Bengone, Natacha Nssi, Ojo, Lucas, Ondo, Fidèle Evouna, Peh, Kelvin S.-H., Pickavance, Georgia C., Poulsen, Axel Dalberg, Poulsen, John R., Qie, Lan, Reitsma, Jan, Rovero, Francesco, Swaine, Michael D., Talbot, Joey, Taplin, James, Taylor, David M., Thomas, Duncan W., Toirambe, Benjamin, Mukendi, John Tshibamba, Tuagben, Darlington, Umunay, Peter M., van der Heijden, Geertje M. F., Verbeeck, Hans, Vleminckx, Jason, Willcock, Simon, Wöll, Hannsjörg, Woods, John T., Zemagho, Lise, Hubau, Wannes, Lewis, Simon L., Phillips, Oliver L., Affum-Baffoe, Kofi, Beeckman, Hans, Cuní-Sanchez, Aida, Daniels, Armandu K., Ewango, Corneille E.N., Fauset, Sophie, Mukinzi, Jacques M., Sheil, Douglas, Sonké, Bonaventure, Sullivan, Martin J.P., Sunderland, Terry C.H., Taedoumg, Hermann, Thomas, Sean C., White, Lee J.T., Abernethy, Katharine A., Adu-Bredu, Stephen, Amani, Christian A., Baker, Timothy R., Banin, Lindsay F., Baya, Fidèle, Begne, Serge K., Bennett, Amy C., Benedet, Fabrice, Bitariho, Robert, Bocko, Yannick E., Boeckx, Pascal, Boundja, Patrick, Brienen, Roel J.W., Brncic, Terry, Chezeaux, Eric, Chuyong, George B., Clark, Connie J., Collins, Murray, Comiskey, James A., Coomes, David A., Dargie, Greta C., de Haulleville, Thales, Kamdem, Marie Noel Djuikouo, Doucet, Jean-Louis, Esquivel-Muelbert, Adriane, Feldpausch, Ted R., Fofanah, Alusine, Foli, Ernest G., Gilpin, Martin, Gloor, Emanuel, Gonmadje, Christelle, Gourlet-Fleury, Sylvie, Hall, Jefferson S., Hamilton, Alan C., Harris, David J., Hart, Terese B., Hockemba, Mireille B.N., Hladik, Annette, Ifo, Suspense A., Jeffery, Kathryn J., Jucker, Tommaso, Yakusu, Emmanuel Kasongo, Kearsley, Elizabeth, Kenfack, David, Koch, Alexander, Leal, Miguel E., Levesley, Aurora, Lindsell, Jeremy A., Lisingo, Janvier, Lopez-Gonzalez, Gabriela, Lovett, Jon C., Makana, Jean-Remy, Malhi, Yadvinder, Marshall, Andrew R., Martin, Jim, Martin, Emanuel H., Mbayu, Faustin M., Medjibe, Vincent P., Mihindou, Vianet, Mitchard, Edward T.A., Moore, Sam, Munishi, Pantaleo K.T., Bengone, Natacha Nssi, Ojo, Lucas, Ondo, Fidèle Evouna, Peh, Kelvin S.-H., Pickavance, Georgia C., Poulsen, Axel Dalberg, Poulsen, John R., Qie, Lan, Reitsma, Jan, Rovero, Francesco, Swaine, Michael D., Talbot, Joey, Taplin, James, Taylor, David M., Thomas, Duncan W., Toirambe, Benjamin, Mukendi, John Tshibamba, Tuagben, Darlington, Umunay, Peter M., van der Heijden, Geertje M. F., Verbeeck, Hans, Vleminckx, Jason, Willcock, Simon, Wöll, Hannsjörg, Woods, John T., and Zemagho, Lise
Abstract: Structurally intact tropical forests sequestered about half of the global terrestrial carbon uptake over the 1990s and early 2000s, removing about 15 per cent of anthropogenic carbon dioxide emissions. Climate-driven vegetation models typically predict that this tropical forest ‘carbon sink’ will continue for decades. Here we assess trends in the carbon sink using 244 structurally intact African tropical forests spanning 11 countries, compare them with 321 published plots from Amazonia and investigate the underlying drivers of the trends. The carbon sink in live aboveground biomass in intact African tropical forests has been stable for the three decades to 2015, at 0.66 tonnes of carbon per hectare per year (95 per cent confidence interval 0.53–0.79), in contrast to the long-term decline in Amazonian forests. Therefore the carbon sink responses of Earth’s two largest expanses of tropical forest have diverged. The difference is largely driven by carbon losses from tree mortality, with no detectable multi-decadal trend in Africa and a long-term increase in Amazonia. Both continents show increasing tree growth, consistent with the expected net effect of rising atmospheric carbon dioxide and air temperature. Despite the past stability of the African carbon sink, our most intensively monitored plots suggest a post-2010 increase in carbon losses, delayed compared to Amazonia, indicating asynchronous carbon sink saturation on the two continents. A statistical model including carbon dioxide, temperature, drought and forest dynamics accounts for the observed trends and indicates a long-term future decline in the African sink, whereas the Amazonian sink continues to weaken rapidly. Overall, the uptake of carbon into Earth’s intact tropical forests peaked in the 1990s. Given that the global terrestrial carbon sink is increasing in size, independent observations indicating greater recent carbon uptake into the Northern Hemisphere landmass reinforce our conclusion that the intac
Published: 2020

26. Data from Sullivan et al. (2020) Long-term thermal sensitivity of Earth’s tropical forests. Science. DOI: 10.1126/science.aaw7578.

Author: Sullivan, Martin J.P., Lewis, Simon L., Affum-Baffoe, Kofi, Castilho, Carolina, Costa, Flávia, Sanchez, Aida Cuni, Ewango, Corneille E.N., Hubau, Wannes, Marimon, Beatriz, Monteagudo-Mendoza, Abel, Qie, Lan, Sonké, Bonaventure, Martinez, Rodolfo Vasquez, Baker, Timothy R., Brienen, Roel J.W., Feldpausch, Ted R., Galbraith, David, Gloor, Manuel, Malhi, Yadvinder, Aiba, Shin Ichiro, Alexiades, Miguel N., Almeida, Everton C., de Oliveira, Edmar Almeida, Dávila, Esteban Álvarez, Loayza, Patricia Alvarez, Andrade, Ana, Vieira, Simone Aparecida, Aragão, Luiz E.O.C., Araujo-Murakami, Alejandro, Arets, Eric J.M.M., Arroyo, Luzmila, Ashton, Peter, Aymard C, Gerardo, Baccaro, Fabrício B., Banin, Lindsay F., Baraloto, Christopher, Camargo, Plínio Barbosa, Barlow, Jos, Barroso, Jorcely, Bastin, Jean François, Batterman, Sarah A., Beeckman, Hans, Begne, Serge K., Bennett, Amy C., Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Boeckx, Pascal, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brearley, Francis Q., Brncic, Terry, Brown, Foster, Burban, Benoit, Camargo, José Luís, Castro, Wendeson, Céron, Carlos, Ribeiro, Sabina Cerruto, Moscoso, Victor Chama, Chave, Jerôme, Chezeaux, Eric, Clark, Connie J., de Souza, Fernanda Coelho, Collins, Murray, Comiskey, James A., Valverde, Fernando Cornejo, Medina, Massiel Corrales, da Costa, Lola, Dančák, Martin, Dargie, Greta C., Davies, Stuart, Cardozo, Nallaret Davila, de Haulleville, Thales, de Medeiros, Marcelo Brilhante, Del Aguila Pasquel, Jhon, Derroire, Géraldine, Di Fiore, Anthony, Doucet, Jean Louis, Dourdain, Aurélie, Droissant, Vincent, Duque, Luisa Fernanda, Ekoungoulou, Romeo, Elias, Fernando, Erwin, Terry, Esquivel-Muelbert, Adriane, Fauset, Sophie, Ferreira, Joice, Llampazo, Gerardo Flores, Foli, Ernest, Ford, Andrew, Gilpin, Martin, Hall, Jefferson S., Hamer, Keith C., Hamilton, Alan C., Harris, David J., Hart, Terese B., Hédl, Radim, Herault, Bruno, Herrera, Rafael, Higuchi, Niro, Hladik, Annette, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Jeffery, Kathryn J., Jimenez-Rojas, Eliana, Kalamandeen, Michelle, Djuikouo, Marie Noël Kamdem, Kearsley, Elizabeth, Umetsu, Ricardo Keichi, Kho, Lip Khoon, Killeen, Timothy, Kitayama, Kanehiro, Klitgaard, Bente, Koch, Alexander, Labrière, Nicolas, Laurance, William, Laurance, Susan, Leal, Miguel E., Levesley, Aurora, Lima, Adriano J.N., Lisingo, Janvier, Lopes, Aline P., Lopez-Gonzalez, Gabriela, Lovejoy, Tom, Lovett, Jon C., Lowe, Richard, Magnusson, William E., Malumbres-Olarte, Jagoba, Manzatto, Ângelo Gilberto, Marimon, Ben Hur, Marshall, Andrew R., Marthews, Toby, de Almeida Reis, Simone Matias, Maycock, Colin, Melgaço, Karina, Mendoza, Casimiro, Metali, Faizah, Mihindou, Vianet, Milliken, William, Mitchard, Edward T.A., Morandi, Paulo S., Mossman, Hannah L., Nagy, Laszlo, Nascimento, Henrique, Neill, David, Nilus, Reuben, Vargas, Percy Núñez, Palacios, Walter, Camacho, Nadir Pallqui, Peacock, Julie, Pendry, Colin, Peñuela Mora, Maria Cristina, Pickavance, Georgia C., Pipoly, John, Pitman, Nigel, Playfair, Maureen, Poorter, Lourens, Poulsen, John R., Poulsen, Axel Dalberg, Preziosi, Richard, Prieto, Adriana, Primack, Richard B., Ramírez-Angulo, Hirma, Reitsma, Jan, Réjou-Méchain, Maxime, Correa, Zorayda Restrepo, de Sousa, Thaiane Rodrigues, Bayona, Lily Rodriguez, Roopsind, Anand, Rudas, Agustín, Rutishauser, Ervan, Abu Salim, Kamariah, Salomão, Rafael P., Schietti, Juliana, Sheil, Douglas, Silva, Richarlly C., Espejo, Javier Silva, Valeria, Camila Silva, Silveira, Marcos, Simo-Droissart, Murielle, Simon, Marcelo Fragomeni, Singh, James, Soto Shareva, Yahn Carlos, Stahl, Clement, Stropp, Juliana, Sukri, Rahayu, Sunderland, Terry, Svátek, Martin, Swaine, Michael D., Swamy, Varun, Taedoumg, Hermann, Talbot, Joey, Taplin, James, Taylor, David, Ter Steege, Hans, Terborgh, John, Thomas, Raquel, Thomas, Sean C., Torres-Lezama, Armando, Umunay, Peter, Gamarra, Luis Valenzuela, van der Heijden, Geertje, van der Hout, Peter, van der Meer, Peter, van Nieuwstadt, Mark, Verbeeck, Hans, Vernimmen, Ronald, Vicentini, Alberto, Vieira, Ima Célia Guimarães, Torre, Emilio Vilanova, Vleminckx, Jason, Vos, Vincent, Wang, Ophelia, White, Lee J.T., Willcock, Simon, Woods, John T., Wortel, Verginia, Young, Kenneth, Zagt, Roderick, Zemagho, Lise, Zuidema, Pieter A., Zwerts, Joeri A., Phillips, Oliver L., Sullivan, Martin J.P., Lewis, Simon L., Affum-Baffoe, Kofi, Castilho, Carolina, Costa, Flávia, Sanchez, Aida Cuni, Ewango, Corneille E.N., Hubau, Wannes, Marimon, Beatriz, Monteagudo-Mendoza, Abel, Qie, Lan, Sonké, Bonaventure, Martinez, Rodolfo Vasquez, Baker, Timothy R., Brienen, Roel J.W., Feldpausch, Ted R., Galbraith, David, Gloor, Manuel, Malhi, Yadvinder, Aiba, Shin Ichiro, Alexiades, Miguel N., Almeida, Everton C., de Oliveira, Edmar Almeida, Dávila, Esteban Álvarez, Loayza, Patricia Alvarez, Andrade, Ana, Vieira, Simone Aparecida, Aragão, Luiz E.O.C., Araujo-Murakami, Alejandro, Arets, Eric J.M.M., Arroyo, Luzmila, Ashton, Peter, Aymard C, Gerardo, Baccaro, Fabrício B., Banin, Lindsay F., Baraloto, Christopher, Camargo, Plínio Barbosa, Barlow, Jos, Barroso, Jorcely, Bastin, Jean François, Batterman, Sarah A., Beeckman, Hans, Begne, Serge K., Bennett, Amy C., Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Boeckx, Pascal, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brearley, Francis Q., Brncic, Terry, Brown, Foster, Burban, Benoit, Camargo, José Luís, Castro, Wendeson, Céron, Carlos, Ribeiro, Sabina Cerruto, Moscoso, Victor Chama, Chave, Jerôme, Chezeaux, Eric, Clark, Connie J., de Souza, Fernanda Coelho, Collins, Murray, Comiskey, James A., Valverde, Fernando Cornejo, Medina, Massiel Corrales, da Costa, Lola, Dančák, Martin, Dargie, Greta C., Davies, Stuart, Cardozo, Nallaret Davila, de Haulleville, Thales, de Medeiros, Marcelo Brilhante, Del Aguila Pasquel, Jhon, Derroire, Géraldine, Di Fiore, Anthony, Doucet, Jean Louis, Dourdain, Aurélie, Droissant, Vincent, Duque, Luisa Fernanda, Ekoungoulou, Romeo, Elias, Fernando, Erwin, Terry, Esquivel-Muelbert, Adriane, Fauset, Sophie, Ferreira, Joice, Llampazo, Gerardo Flores, Foli, Ernest, Ford, Andrew, Gilpin, Martin, Hall, Jefferson S., Hamer, Keith C., Hamilton, Alan C., Harris, David J., Hart, Terese B., Hédl, Radim, Herault, Bruno, Herrera, Rafael, Higuchi, Niro, Hladik, Annette, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Jeffery, Kathryn J., Jimenez-Rojas, Eliana, Kalamandeen, Michelle, Djuikouo, Marie Noël Kamdem, Kearsley, Elizabeth, Umetsu, Ricardo Keichi, Kho, Lip Khoon, Killeen, Timothy, Kitayama, Kanehiro, Klitgaard, Bente, Koch, Alexander, Labrière, Nicolas, Laurance, William, Laurance, Susan, Leal, Miguel E., Levesley, Aurora, Lima, Adriano J.N., Lisingo, Janvier, Lopes, Aline P., Lopez-Gonzalez, Gabriela, Lovejoy, Tom, Lovett, Jon C., Lowe, Richard, Magnusson, William E., Malumbres-Olarte, Jagoba, Manzatto, Ângelo Gilberto, Marimon, Ben Hur, Marshall, Andrew R., Marthews, Toby, de Almeida Reis, Simone Matias, Maycock, Colin, Melgaço, Karina, Mendoza, Casimiro, Metali, Faizah, Mihindou, Vianet, Milliken, William, Mitchard, Edward T.A., Morandi, Paulo S., Mossman, Hannah L., Nagy, Laszlo, Nascimento, Henrique, Neill, David, Nilus, Reuben, Vargas, Percy Núñez, Palacios, Walter, Camacho, Nadir Pallqui, Peacock, Julie, Pendry, Colin, Peñuela Mora, Maria Cristina, Pickavance, Georgia C., Pipoly, John, Pitman, Nigel, Playfair, Maureen, Poorter, Lourens, Poulsen, John R., Poulsen, Axel Dalberg, Preziosi, Richard, Prieto, Adriana, Primack, Richard B., Ramírez-Angulo, Hirma, Reitsma, Jan, Réjou-Méchain, Maxime, Correa, Zorayda Restrepo, de Sousa, Thaiane Rodrigues, Bayona, Lily Rodriguez, Roopsind, Anand, Rudas, Agustín, Rutishauser, Ervan, Abu Salim, Kamariah, Salomão, Rafael P., Schietti, Juliana, Sheil, Douglas, Silva, Richarlly C., Espejo, Javier Silva, Valeria, Camila Silva, Silveira, Marcos, Simo-Droissart, Murielle, Simon, Marcelo Fragomeni, Singh, James, Soto Shareva, Yahn Carlos, Stahl, Clement, Stropp, Juliana, Sukri, Rahayu, Sunderland, Terry, Svátek, Martin, Swaine, Michael D., Swamy, Varun, Taedoumg, Hermann, Talbot, Joey, Taplin, James, Taylor, David, Ter Steege, Hans, Terborgh, John, Thomas, Raquel, Thomas, Sean C., Torres-Lezama, Armando, Umunay, Peter, Gamarra, Luis Valenzuela, van der Heijden, Geertje, van der Hout, Peter, van der Meer, Peter, van Nieuwstadt, Mark, Verbeeck, Hans, Vernimmen, Ronald, Vicentini, Alberto, Vieira, Ima Célia Guimarães, Torre, Emilio Vilanova, Vleminckx, Jason, Vos, Vincent, Wang, Ophelia, White, Lee J.T., Willcock, Simon, Woods, John T., Wortel, Verginia, Young, Kenneth, Zagt, Roderick, Zemagho, Lise, Zuidema, Pieter A., Zwerts, Joeri A., and Phillips, Oliver L.
Abstract: The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (−9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater rate of decline in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth’s climate., The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (−9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater rate of decline in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth’s climate.
Published: 2020

27. Competition influences tree growth, but not mortality, across environmental gradients in Amazonia and tropical Africa

Author: Rozendaal, Danaë M.A., Phillips, Oliver L., Lewis, Simon L., Affum-Baffoe, Kofi, Alvarez-Davila, Esteban, Andrade, Ana, Aragão, Luiz E.O.C., Araujo-Murakami, Alejandro, Baker, Timothy R., Bánki, Olaf, Brienen, Roel J.W., Camargo, José Luis C., Comiskey, James A., Djuikouo Kamdem, Marie Noël, Fauset, Sophie, Feldpausch, Ted R., Killeen, Timothy J., Laurance, William F., Laurance, Susan G.W., Lovejoy, Thomas, Malhi, Yadvinder, Marimon, Beatriz S., Marimon Junior, Ben Hur, Marshall, Andrew R., Neill, David A., Núñez Vargas, Percy, Pitman, Nigel C.A., Poorter, Lourens, Reitsma, Jan, Silveira, Marcos, Sonké, Bonaventure, Sunderland, Terry, Taedoumg, Hermann, ter Steege, Hans, Terborgh, John W., Umetsu, Ricardo K., van der Heijden, Geertje M.F., Vilanova, Emilio, Vos, Vincent, White, Lee J.T., Willcock, Simon, Zemagho, Lise, Vanderwel, Mark C., Rozendaal, Danaë M.A., Phillips, Oliver L., Lewis, Simon L., Affum-Baffoe, Kofi, Alvarez-Davila, Esteban, Andrade, Ana, Aragão, Luiz E.O.C., Araujo-Murakami, Alejandro, Baker, Timothy R., Bánki, Olaf, Brienen, Roel J.W., Camargo, José Luis C., Comiskey, James A., Djuikouo Kamdem, Marie Noël, Fauset, Sophie, Feldpausch, Ted R., Killeen, Timothy J., Laurance, William F., Laurance, Susan G.W., Lovejoy, Thomas, Malhi, Yadvinder, Marimon, Beatriz S., Marimon Junior, Ben Hur, Marshall, Andrew R., Neill, David A., Núñez Vargas, Percy, Pitman, Nigel C.A., Poorter, Lourens, Reitsma, Jan, Silveira, Marcos, Sonké, Bonaventure, Sunderland, Terry, Taedoumg, Hermann, ter Steege, Hans, Terborgh, John W., Umetsu, Ricardo K., van der Heijden, Geertje M.F., Vilanova, Emilio, Vos, Vincent, White, Lee J.T., Willcock, Simon, Zemagho, Lise, and Vanderwel, Mark C.
Abstract: Competition among trees is an important driver of community structure and dynamics in tropical forests. Neighboring trees may impact an individual tree’s growth rate and probability of mortality, but large-scale geographic and environmental variation in these competitive effects has yet to be evaluated across the tropical forest biome. We quantified effects of competition on tree-level basal area growth and mortality for trees ≥10-cm diameter across 151 ~1-ha plots in mature tropical forests in Amazonia and tropical Africa by developing nonlinear models that accounted for wood density, tree size, and neighborhood crowding. Using these models, we assessed how water availability (i.e., climatic water deficit) and soil fertility influenced the predicted plot-level strength of competition (i.e., the extent to which growth is reduced, or mortality is increased, by competition across all individual trees). On both continents, tree basal area growth decreased with wood density and increased with tree size. Growth decreased with neighborhood crowding, which suggests that competition is important. Tree mortality decreased with wood density and generally increased with tree size, but was apparently unaffected by neighborhood crowding. Across plots, variation in the plot-level strength of competition was most strongly related to plot basal area (i.e., the sum of the basal area of all trees in a plot), with greater reductions in growth occurring in forests with high basal area, but in Amazonia, the strength of competition also varied with plot-level wood density. In Amazonia, the strength of competition increased with water availability because of the greater basal area of wetter forests, but was only weakly related to soil fertility. In Africa, competition was weakly related to soil fertility and invariant across the shorter water availability gradient. Overall, our results suggest that competition influences the structure and dynamics of tropical forests primarily through eff
Published: 2020

28. An investigation of the magnetic properties of high tensile steels

Author: Willcock, Simon Nicolas Murray
Subjects: 669, Metallurgy & metallography
Abstract: This thesis describes an investigation of the magnetic properties of high tensile steels typical of those produced for the high pressure gas pipe-line industry. Results are presented for both bulk and small section samples, and the observed variations in magnetic behaviour as a function of orientation and position within the steel are described qualitatively by changes in steel metallography. The development of an automated double-crank Vibrating Sample Magnetometer, required for determining the magnetic characteristics of small samples, is also described which, without signal amplification, has a moment detectability limit of 10(^-4) e.m.u. The representation of the full magnetization loop by a Fourier series is investigated and the variations in harmonic amplitudes found for the range of steels considered here are compared to those predicted by theoretical models. The successful parameterization of the initial magnetization curve is also reported using a two parameter model (LnB = (k – H(^-1))LnA)), and linear relationships between the coercive field (H(_c)) and these parameters (k,LnA) are presented which permit the prediction of the initial magnetization curve of any similar steel from a knowledge of H(_c). Although the latter may be determined accurately by direct measurements of small samples, further linear relationships are indicated which allow the determination of the coercive field from knowledge of either the steel chemistry or metallography. The compatibility of the observed ferrite grain size dependent contribution to the coercive field with grain boundary domain wall pinning models is also investigated.
Published: 1985

29. A continental-scale validation of ecosystem service models

Author: Willcock, Simon, Hooftman, Danny A.P., Balbi, Stefano, Blanchard, Ryan, Dawson, Terence P., O’Farrell, Patrick J., Hickler, Thomas, Hudson, Malcolm D., Lindeskog, Mats, Martinez-Lopez, Javier, Mulligan, Mark, Reyers, Belinda, Shackleton, Charlie, Sitas, Nadia, Villa, Ferdinando, Watts, Sophie M., Eigenbrod, Felix, Bullock, James M., Willcock, Simon, Hooftman, Danny A.P., Balbi, Stefano, Blanchard, Ryan, Dawson, Terence P., O’Farrell, Patrick J., Hickler, Thomas, Hudson, Malcolm D., Lindeskog, Mats, Martinez-Lopez, Javier, Mulligan, Mark, Reyers, Belinda, Shackleton, Charlie, Sitas, Nadia, Villa, Ferdinando, Watts, Sophie M., Eigenbrod, Felix, and Bullock, James M.
Abstract: Faced with environmental degradation, governments worldwide are developing policies to safeguard ecosystem services (ES). Many ES models exist to support these policies, but they are generally poorly validated, especially at large scales, which undermines their credibility. To address this gap, we describe a study of multiple models of five ES, which we validate at an unprecedented scale against 1675 data points across sub-Saharan Africa. We find that potential ES (biophysical supply of carbon and water) are reasonably well predicted by the existing models. These potential ES models can also be used as inputs to new models for realised ES (use of charcoal, firewood, grazing resources and water), by adding information on human population density. We find that increasing model complexity can improve estimates of both potential and realised ES, suggesting that developing more detailed models of ES will be beneficial. Furthermore, in 85% of cases, human population density alone was as good or a better predictor of realised ES than ES models, suggesting that it is demand, rather than supply that is predominantly determining current patterns of ES use. Our study demonstrates the feasibility of ES model validation, even in data-deficient locations such as sub-Saharan Africa. Our work also shows the clear need for more work on the demand side of ES models, and the importance of model validation in providing a stronger base to support policies which seek to achieve sustainable development in support of human well-being.
Published: 2019

30. Towards globally customizable ecosystem service models

Author: Martínez-López, Javier, Bagstad, Kenneth J., Balbi, Stefano, Magrach, Ainhoa, Voigt, Brian, Athanasiadis, Ioannis, Pascual, Marta, Willcock, Simon, Villa, Ferdinando, Martínez-López, Javier, Bagstad, Kenneth J., Balbi, Stefano, Magrach, Ainhoa, Voigt, Brian, Athanasiadis, Ioannis, Pascual, Marta, Willcock, Simon, and Villa, Ferdinando
Abstract: Scientists, stakeholders and decision makers face trade-offs between adopting simple or complex approaches when modeling ecosystem services (ES). Complex approaches may be time- and data-intensive, making them more challenging to implement and difficult to scale, but can produce more accurate and locally specific results. In contrast, simple approaches allow for faster assessments but may sacrifice accuracy and credibility. The ARtificial Intelligence for Ecosystem Services (ARIES) modeling platform has endeavored to provide a spectrum of simple to complex ES models that are readily accessible to a broad range of users. In this paper, we describe a series of five “Tier 1” ES models that users can run anywhere in the world with no user input, while offering the option to easily customize models with context-specific data and parameters. This approach enables rapid ES quantification, as models are automatically adapted to the application context. We provide examples of customized ES assessments at three locations on different continents and demonstrate the use of ARIES' spatial multi-criteria analysis module, which enables spatial prioritization of ES for different beneficiary groups. The models described here use publicly available global- and continental-scale data as defaults. Advanced users can modify data input requirements, model parameters or entire model structures to capitalize on high-resolution data and context-specific model formulations. Data and methods contributed by the research community become part of a growing knowledge base, enabling faster and better ES assessment for users worldwide. By engaging with the ES modeling community to further develop and customize these models based on user needs, spatiotemporal contexts, and scale(s) of analysis, we aim to cover the full arc from simple to complex assessments, minimizing the additional cost to the user when increased complexity and accuracy are needed.
Published: 2019

31. A practical tool for assessing ecosystem services enhancement and degradation associated with invasive alien species

Author: Martinez-Cillero, Rocio, Willcock, Simon, Perez-Diaz, Alvaro, Joslin, Emma, Vergeer, Philippine, Peh, Kelvin S.H., Martinez-Cillero, Rocio, Willcock, Simon, Perez-Diaz, Alvaro, Joslin, Emma, Vergeer, Philippine, and Peh, Kelvin S.H.
Abstract: Current approaches for assessing the effects of invasive alien species (IAS) are biased toward the negative effects of these species, resulting in an incomplete picture of their real effects. This can result in an inefficient IAS management. We address this issue by describing the INvasive Species Effects Assessment Tool (INSEAT) that enables expert elicitation for rapidly assessing the ecological consequences of IAS using the ecosystem services (ES) framework. INSEAT scores the ecosystem service “gains and losses” using a scale that accounted for the magnitude and the reversibility of its effects. We tested INSEAT on 18 IAS in Great Britain. Here, we highlighted four case studies: Harmonia axyridis (Harlequin ladybird), Astacus leptodactylus (Turkish crayfish), Pacifastacus leniusculus (Signal crayfish) and Impatiens glandulifera (Himalayan balsam). The results demonstrated that a collation of different experts’ opinions using INSEAT could yield valuable information on the invasive aliens’ ecological and social effects. The users can identify certain IAS as ES providers and the trade-offs between the ES provision and loss associated with them. This practical tool can be useful for evidence-based policy and management decisions that consider the potential role of invasive species in delivering human well-being.
Published: 2019

32. Hunters and hunting across indigenous and colonist communities at the forest-agriculture interface: an ethnozoological study from the Peruvian Amazon

Author: Francesconi, Wendy, Bax, Vincent, Blundo Canto, Genowefa, Willcock, Simon, Cuadros, Sandra, Vanegas, Martha, Quintero, Marcela, Torres-Vitolas, Carlos A., Francesconi, Wendy, Bax, Vincent, Blundo Canto, Genowefa, Willcock, Simon, Cuadros, Sandra, Vanegas, Martha, Quintero, Marcela, and Torres-Vitolas, Carlos A.
Abstract: Background: Wildlife has been traditionally used by forest communities as a source of protein, and the Peruvian Amazon is no exception. The articulation of colonist and indigenous communities to urban centers and markets results in changes in livelihood strategies and impacts on wildlife populations. To address the threat of overhunting and forest conversion, we provide a generalized characterization of colonist and indigenous communities and their hunting activities near Pucallpa, Ucayali, Peru. Methods: A semi-structured household survey was conducted to characterize hunters and describe their prey collections. The data were analyzed by conducting a Kruskal-Wallis test, a multiple regression analysis, and by estimating the harvest rate (H). Results: Less wealthy households were more actively engaged in hunting for food security and as a livelihood strategy. Additionally, older hunters were associated with higher hunting rates. Although the percentage of hunters was relatively low, estimated hunting rates suggest overharvesting of wildlife. Lowland pacas (Cuniculus paca) were the most frequently hunted prey, followed by red brocket deer (Mazama americana) and primates. While hunting intensity was not significantly different between indigenous and colonist communities, hunting rate disparities suggest there are different types of hunters (specialized vs. opportunistic) and that prey composition differs between communities. Conclusion: Close monitoring of wildlife populations and hunting activities is ideal for more accurately determining the impact of hunting on wildlife population and in turn on forest health. In lack of this type of information, this study provides insight of hunting as a shifting livelihood strategy in a rapidly changing environment at the forest/agriculture frontier.
Published: 2018

33. Machine learning for ecosystem services

Author: Willcock, Simon, Martínez-López, Javier, Hooftman, Danny A.P., Bagstad, Kenneth J., Balbi, Stefano, Marzo, Alessia, Prato, Carlo, Sciandrello, Saverio, Signorello, Giovanni, Voigt, Brian, Villa, Ferdinando, Bullock, James M., Athanasiadis, Ioannis N., Willcock, Simon, Martínez-López, Javier, Hooftman, Danny A.P., Bagstad, Kenneth J., Balbi, Stefano, Marzo, Alessia, Prato, Carlo, Sciandrello, Saverio, Signorello, Giovanni, Voigt, Brian, Villa, Ferdinando, Bullock, James M., and Athanasiadis, Ioannis N.
Abstract: Recent developments in machine learning have expanded data-driven modelling (DDM) capabilities, allowing artificial intelligence to infer the behaviour of a system by computing and exploiting correlations between observed variables within it. Machine learning algorithms may enable the use of increasingly available ‘big data’ and assist applying ecosystem service models across scales, analysing and predicting the flows of these services to disaggregated beneficiaries. We use the Weka and ARIES software to produce two examples of DDM: firewood use in South Africa and biodiversity value in Sicily, respectively. Our South African example demonstrates that DDM (64–91% accuracy) can identify the areas where firewood use is within the top quartile with comparable accuracy as conventional modelling techniques (54–77% accuracy). The Sicilian example highlights how DDM can be made more accessible to decision makers, who show both capacity and willingness to engage with uncertainty information. Uncertainty estimates, produced as part of the DDM process, allow decision makers to determine what level of uncertainty is acceptable to them and to use their own expertise for potentially contentious decisions. We conclude that DDM has a clear role to play when modelling ecosystem services, helping produce interdisciplinary models and holistic solutions to complex socio-ecological issues.
Published: 2018

34. Diversity and carbon storage across the tropical forest biome

Author: Sullivan, Martin J.P., Talbot, Joey, Lewis, Simon L., Phillips, Oliver L., Qie, Lan, Begne, Serge K., Chave, Jerôme, Cuni-Sanchez, Aida, Hubau, Wannes, Lopez-Gonzalez, Gabriela, Miles, Lera, Monteagudo-Mendoza, Abel, Sonké, Bonaventure, Sunderland, Terry, ter Steege, Hans, White, Lee J.T., Affum-Baffoe, Kofi, Aiba, Shin-ichiro, de Almeida, Everton Cristo, de Oliveira, Edmar Almeida, Alvarez-Loayza, Patricia, Dávila, Esteban Álvarez, Andrade, Ana, Aragão, Luiz E.O.C., Ashton, Peter, Aymard C., Gerardo A., Baker, Timothy R., Balinga, Michael, Banin, Lindsay F., Baraloto, Christopher, Bastin, Jean-Francois, Berry, Nicholas, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Brienen, Roel, Camargo, José Luís C., Cerón, Carlos, Moscoso, Victor Chama, Chezeaux, Eric, Clark, Connie J., Pacheco, Álvaro Cogollo, Comiskey, James A., Valverde, Fernando Cornejo, Coronado, Eurídice N. Honorio, Dargie, Greta, Davies, Stuart J., De Canniere, Charles, Djuikouo K., Marie Noel, Doucet, Jean-Louis, Erwin, Terry L., Espejo, Javier Silva, Ewango, Corneille E.N., Fauset, Sophie, Feldpausch, Ted R., Herrera, Rafael, Gilpin, Martin, Gloor, Emanuel, Hall, Jefferson S., Harris, David J., Hart, Terese B., Kartawinata, Kuswata, Kho, Lip Khoon, Kitayama, Kanehiro, Laurance, Susan G.W., Laurance, William F., Leal, Miguel E., Lovejoy, Thomas, Lovett, Jon C., Lukasu, Faustin Mpanya, Makana, Jean-Remy, Malhi, Yadvinder, Maracahipes, Leandro, Marimon, Beatriz S., Junior, Ben Hur Marimon, Marshall, Andrew R., Morandi, Paulo S., Mukendi, John Tshibamba, Mukinzi, Jaques, Nilus, Reuben, Vargas, Percy Núñez, Camacho, Nadir C. Pallqui, Pardo, Guido, Peña-Claros, Marielos, Pétronelli, Pascal, Pickavance, Georgia C., Poulsen, Axel Dalberg, Poulsen, John R., Primack, Richard B., Priyadi, Hari, Quesada, Carlos A., Reitsma, Jan, Réjou-Méchain, Maxime, Restrepo, Zorayda, Rutishauser, Ervan, Salim, Kamariah Abu, Salomão, Rafael P., Samsoedin, Ismayadi, Sheil, Douglas, Sierra, Rodrigo, Silveira, Marcos, Slik, J.W. Ferry, Steel, Lisa, Taedoumg, Hermann, Tan, Sylvester, Terborgh, John W., Thomas, Sean C., Toledo, Marisol, Umunay, Peter M., Gamarra, Luis Valenzuela, Vieira, Ima Célia Guimarães, Vos, Vincent A., Wang, Ophelia, Willcock, Simon, Zemagho, Lise, Sullivan, Martin J.P., Talbot, Joey, Lewis, Simon L., Phillips, Oliver L., Qie, Lan, Begne, Serge K., Chave, Jerôme, Cuni-Sanchez, Aida, Hubau, Wannes, Lopez-Gonzalez, Gabriela, Miles, Lera, Monteagudo-Mendoza, Abel, Sonké, Bonaventure, Sunderland, Terry, ter Steege, Hans, White, Lee J.T., Affum-Baffoe, Kofi, Aiba, Shin-ichiro, de Almeida, Everton Cristo, de Oliveira, Edmar Almeida, Alvarez-Loayza, Patricia, Dávila, Esteban Álvarez, Andrade, Ana, Aragão, Luiz E.O.C., Ashton, Peter, Aymard C., Gerardo A., Baker, Timothy R., Balinga, Michael, Banin, Lindsay F., Baraloto, Christopher, Bastin, Jean-Francois, Berry, Nicholas, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Brienen, Roel, Camargo, José Luís C., Cerón, Carlos, Moscoso, Victor Chama, Chezeaux, Eric, Clark, Connie J., Pacheco, Álvaro Cogollo, Comiskey, James A., Valverde, Fernando Cornejo, Coronado, Eurídice N. Honorio, Dargie, Greta, Davies, Stuart J., De Canniere, Charles, Djuikouo K., Marie Noel, Doucet, Jean-Louis, Erwin, Terry L., Espejo, Javier Silva, Ewango, Corneille E.N., Fauset, Sophie, Feldpausch, Ted R., Herrera, Rafael, Gilpin, Martin, Gloor, Emanuel, Hall, Jefferson S., Harris, David J., Hart, Terese B., Kartawinata, Kuswata, Kho, Lip Khoon, Kitayama, Kanehiro, Laurance, Susan G.W., Laurance, William F., Leal, Miguel E., Lovejoy, Thomas, Lovett, Jon C., Lukasu, Faustin Mpanya, Makana, Jean-Remy, Malhi, Yadvinder, Maracahipes, Leandro, Marimon, Beatriz S., Junior, Ben Hur Marimon, Marshall, Andrew R., Morandi, Paulo S., Mukendi, John Tshibamba, Mukinzi, Jaques, Nilus, Reuben, Vargas, Percy Núñez, Camacho, Nadir C. Pallqui, Pardo, Guido, Peña-Claros, Marielos, Pétronelli, Pascal, Pickavance, Georgia C., Poulsen, Axel Dalberg, Poulsen, John R., Primack, Richard B., Priyadi, Hari, Quesada, Carlos A., Reitsma, Jan, Réjou-Méchain, Maxime, Restrepo, Zorayda, Rutishauser, Ervan, Salim, Kamariah Abu, Salomão, Rafael P., Samsoedin, Ismayadi, Sheil, Douglas, Sierra, Rodrigo, Silveira, Marcos, Slik, J.W. Ferry, Steel, Lisa, Taedoumg, Hermann, Tan, Sylvester, Terborgh, John W., Thomas, Sean C., Toledo, Marisol, Umunay, Peter M., Gamarra, Luis Valenzuela, Vieira, Ima Célia Guimarães, Vos, Vincent A., Wang, Ophelia, Willcock, Simon, and Zemagho, Lise
Abstract: Tropical forests are global centres of biodiversity and carbon storage. Many tropical countries aspire to protect forest to fulfil biodiversity and climate mitigation policy targets, but the conservation strategies needed to achieve these two functions depend critically on the tropical forest tree diversity-carbon storage relationship. Assessing this relationship is challenging due to the scarcity of inventories where carbon stocks in aboveground biomass and species identifications have been simultaneously and robustly quantified. Here, we compile a unique pan-tropical dataset of 360 plots located in structurally intact old-growth closed-canopy forest, surveyed using standardised methods, allowing a multi-scale evaluation of diversity-carbon relationships in tropical forests. Diversity-carbon relationships among all plots at 1 ha scale across the tropics are absent, and within continents are either weak (Asia) or absent (Amazonia, Africa). A weak positive relationship is detectable within 1 ha plots, indicating that diversity effects in tropical forests may be scale dependent. The absence of clear diversity-carbon relationships at scales relevant to conservation planning means that carbon-centred conservation strategies will inevitably miss many high diversity ecosystems. As tropical forests can have any combination of tree diversity and carbon stocks both require explicit consideration when optimising policies to manage tropical carbon and biodiversity.
Published: 2017

35. The discovery, biodiversity and conservation of Mabu forest—the largest medium-altitude rainforest in southern Africa

Author: Bayliss, Julian, Timberlake, Jonathan, Branch, William, Bruessow, Carl, Collins, Steve, Congdon, Colin, Curran, Michael, de Sousa, Camila, Dowsett, Robert, Dowsett-Lemaire, Francoise, Fishpool, Lincoln, Harris, Timothy, Herrmann, Eric, Georgiadis, Stephen, Kopp, Mirjam, Liggitt, Bruce, Monadjem, Ara, Patel, Hassam, Ribeiro, Daniel, Spottiswoode, Claire, Taylor, Peter, Willcock, Simon, Smith, Paul, Bayliss, Julian, Timberlake, Jonathan, Branch, William, Bruessow, Carl, Collins, Steve, Congdon, Colin, Curran, Michael, de Sousa, Camila, Dowsett, Robert, Dowsett-Lemaire, Francoise, Fishpool, Lincoln, Harris, Timothy, Herrmann, Eric, Georgiadis, Stephen, Kopp, Mirjam, Liggitt, Bruce, Monadjem, Ara, Patel, Hassam, Ribeiro, Daniel, Spottiswoode, Claire, Taylor, Peter, Willcock, Simon, and Smith, Paul
Abstract: The montane inselbergs of northern Mozambique have been comparatively little-studied, yet recent surveys have shown they have a rich biodiversity with numerous endemic species. Here we present the main findings from a series of scientific expeditions to one of these inselbergs, Mt Mabu, and discuss the conservation implications. Comprehensive species lists of plants, birds, mammals and butterflies are presented. The most significant result was the discovery of a c. 7,880 ha block of undisturbed rainforest, most of it at medium altitude (900-1,400 m), a forest type that is not well represented elsewhere. It is possibly the largest continuous block of this forest type in southern Africa. To date, 10 new species (plants, mammals, reptiles and butterflies) have been confirmed from Mt Mabu, even though sampling effort for most taxonomic groups has been low. The species assemblages indicate a relatively long period of isolation and many species found are at the southern limit of their range. Conservationists are now faced with the challenge of how best to protect Mt Mabu and similar mountains in northern Mozambique, and various ways that this could be done are discussed
Published: 2017

36. Do ecosystem service maps and models meet stakeholders' needs? A preliminary survey across sub-Saharan Africa

Author: Willcock, Simon, Hooftman, Danny, Sitas, Nadia, O'Farrell, Patrick, Hudson, Malcolm D., Reyers, Belinda, Eigenbrod, Felix, Bullock, James M., Willcock, Simon, Hooftman, Danny, Sitas, Nadia, O'Farrell, Patrick, Hudson, Malcolm D., Reyers, Belinda, Eigenbrod, Felix, and Bullock, James M.
Abstract: To achieve sustainability goals, it is important to incorporate ecosystem service (ES) information into decision-making processes. However, little is known about the correspondence between the needs of ES information users and the data provided by the researcher community. We surveyed stakeholders within sub-Saharan Africa, determining their ES data requirements using a targeted sampling strategy. Of those respondents utilising ES information (> 90%; n = 60), 27% report having sufficient data; with the remainder requiring additional data - particularly at higher spatial resolutions and at multiple points in time. The majority of respondents focus on provisioning and regulating services, particularly food and fresh water supply (both 58%) and climate regulation (49%). Their focus is generally at national scales or below and in accordance with data availability. Among the stakeholders surveyed, we performed a follow-up assessment for a sub-sample of 17 technical experts. The technical experts are unanimous that ES models must be able to incorporate scenarios, and most agree that ES models should be at least 90% accurate. However, relatively coarse-resolution (1-10 km(2)) models are sufficient for many services. To maximise the impact of future research, dynamic, multi-scale datasets on ES must be delivered alongside capacity-building efforts.
Published: 2016
Full Text: View/download PDF

37. An integrated pan-tropical biomass map using multiple reference datasets

Author: Avitabile, Valerio, Herold, Martin, Heuvelink, Gerard B.M., Lewis, Simon L., Phillips, Oliver L., Asner, Gregory P., Armston, John, Ashton, Peter S., Banin, Lindsay, Bayol, Nicolas, Berry, Nicholas J., Boeckx, Pascal, de Jong, Bernardus H.J., DeVries, Ben, Girardin, Cecile A.J., Kearsley, Elizabeth, Lindsell, Jeremy A., Lopez-Gonzalez, Gabriela, Lucas, Richard, Malhi, Yadvinder, Morel, Alexandra, Mitchard, Edward T.A., Nagy, Laszlo, Qie, Lan, Quinones, Marcela J., Ryan, Casey M., Ferry, Slik J.W., Sunderland, Terry, Laurin, Gaia Vaglio, Gatti, Roberto Cazzolla, Valentini, Riccardo, Verbeeck, Hans, Wijaya, Arief, Willcock, Simon, Avitabile, Valerio, Herold, Martin, Heuvelink, Gerard B.M., Lewis, Simon L., Phillips, Oliver L., Asner, Gregory P., Armston, John, Ashton, Peter S., Banin, Lindsay, Bayol, Nicolas, Berry, Nicholas J., Boeckx, Pascal, de Jong, Bernardus H.J., DeVries, Ben, Girardin, Cecile A.J., Kearsley, Elizabeth, Lindsell, Jeremy A., Lopez-Gonzalez, Gabriela, Lucas, Richard, Malhi, Yadvinder, Morel, Alexandra, Mitchard, Edward T.A., Nagy, Laszlo, Qie, Lan, Quinones, Marcela J., Ryan, Casey M., Ferry, Slik J.W., Sunderland, Terry, Laurin, Gaia Vaglio, Gatti, Roberto Cazzolla, Valentini, Riccardo, Verbeeck, Hans, Wijaya, Arief, and Willcock, Simon
Abstract: We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings of the National Academy of Sciences of the United States of America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of field observations and locally calibrated high-resolution biomass maps, harmonized and upscaled to 14 477 1-km AGB estimates. Our data fusion approach uses bias removal and weighted linear averaging that incorporates and spatializes the biomass patterns indicated by the reference data. The method was applied independently in areas (strata) with homogeneous error patterns of the input (Saatchi and Baccini) maps, which were estimated from the reference data and additional covariates. Based on the fused map, we estimated AGB stock for the tropics (23.4 N–23.4 S) of 375 Pg dry mass, 9–18% lower than the Saatchi and Baccini estimates. The fused map also showed differing spatial patterns of AGB over large areas, with higher AGB density in the dense forest areas in the Congo basin, Eastern Amazon and South-East Asia, and lower values in Central America and in most dry vegetation areas of Africa than either of the input maps. The validation exercise, based on 2118 estimates from the reference dataset not used in the fusion process, showed that the fused map had a RMSE 15–21% lower than that of the input maps and, most importantly, nearly unbiased estimates (mean bias 5 Mg dry mass ha−1 vs. 21 and 28 Mg ha−1 for the input maps). The fusion method can be applied at any scale including the policy-relevant national level, where it can provide improved biomass estimates by integrating existing regional biomass maps as input maps and additional, country-specific reference datasets.
Published: 2016

38. Analysis of ecosystem services provision in the Colombian Amazon using participatory research and mapping techniques

Author: Energy System Analysis, Energy and Resources, Ramirez-Gomez, Sara O I, Torres-Vitolas, Carlos A., Schreckenberg, Kate, Honzák, Miroslav, Cruz-Garcia, Gisella S., Willcock, Simon, Palacios, Erwin, Pérez-Miñana, Elena, Verweij, Pita A., Poppy, Guy M., Energy System Analysis, Energy and Resources, Ramirez-Gomez, Sara O I, Torres-Vitolas, Carlos A., Schreckenberg, Kate, Honzák, Miroslav, Cruz-Garcia, Gisella S., Willcock, Simon, Palacios, Erwin, Pérez-Miñana, Elena, Verweij, Pita A., and Poppy, Guy M.
Published: 2015

39. TESSA: A toolkit for rapid assessment of ecosystem services at sites of biodiversity conservation importance

Author: Peh, Kelvin S.-H., Balmford, Andrew, Bradbury, Richard B., Brown, Claire, Butchart, Stuart H.M., Hughes, Francine M.R., Stattersfield, Alison, Thomas, David H.L., Walpole, Matt, Bayliss, Julian, Gowing, David, Jones, Julia P.G., Lewis, Simon L., Mulligan, Mark, Pandeya, Bhopal, Stratford, Charlie, Thompson, Julian R., Turner, Kerry, Vira, Bhaskar, Willcock, Simon, Birch, Jennifer C., Peh, Kelvin S.-H., Balmford, Andrew, Bradbury, Richard B., Brown, Claire, Butchart, Stuart H.M., Hughes, Francine M.R., Stattersfield, Alison, Thomas, David H.L., Walpole, Matt, Bayliss, Julian, Gowing, David, Jones, Julia P.G., Lewis, Simon L., Mulligan, Mark, Pandeya, Bhopal, Stratford, Charlie, Thompson, Julian R., Turner, Kerry, Vira, Bhaskar, Willcock, Simon, and Birch, Jennifer C.
Abstract: Sites that are important for biodiversity conservation can also provide significant benefits (i.e. ecosystem services) to people. Decision-makers need to know how change to a site, whether development or restoration, would affect the delivery of services and the distribution of any benefits among stakeholders. However, there are relatively few empirical studies that present this information. One reason is the lack of appropriate methods and tools for ecosystem service assessment that do not require substantial resources or specialist technical knowledge, or rely heavily upon existing data. Here we address this gap by describing the Toolkit for Ecosystem Service Site-based Assessment (TESSA). It guides local non-specialists through a selection of relatively accessible methods for identifying which ecosystem services may be important at a site, and for evaluating the magnitude of benefits that people obtain from them currently, compared with those expected under alternative land-uses. The toolkit recommends use of existing data where appropriate and places emphasis on enabling users to collect new field data at relatively low cost and effort. By using TESSA, the users could also gain valuable information about the alternative land-uses; and data collected in the field could be incorporated into regular monitoring programmes.
Published: 2013

40. REDD herrings or REDD menace:response to Beymer-Farris and Bassett

Author: Burgess, Neil David, Mwakalila, Shadrack, Munishi, Pantaleo, Pfeifer, Marion, Willcock, Simon, Shirima, Deo, Hamidu, Seki, Bulenga, George B., Rubens, Jason, Machano, Haji, Marchant, Rob, Burgess, Neil David, Mwakalila, Shadrack, Munishi, Pantaleo, Pfeifer, Marion, Willcock, Simon, Shirima, Deo, Hamidu, Seki, Bulenga, George B., Rubens, Jason, Machano, Haji, and Marchant, Rob
Published: 2013

41. Above-ground biomass and structure of 260 African tropical forests

Author: Lewis, Simon L., Sonké, Bonaventure, Sunderland, Terry, Begne, Serge K., Lopez-Gonzalez, Gabriela, van der Heijden, Geertje M.F., Phillips, Oliver L., Affum-Baffoe, Kofi, Baker, Timothy R., Banin, Lindsay, Bastin, Jean François, Beeckman, Hans, Boeckx, Pascal, Bogaert, Jan, De Cannière, Charles, Chezeaux, Eric, Clark, Connie J., Collins, Murray, Djagbletey, Gloria, Djuikouo, Marie Noël K., Droissart, Vincent, Doucet, Jean Louis, Ewango, Cornielle E.N., Fauset, Sophie, Feldpausch, Ted R., Foli, Ernest G., Gillet, Jean François, Hamilton, Alan C., Harris, David J., Hart, Terese B., de Haulleville, Thales, Hladik, Annette, Hufkens, Koen, Huygens, Dries, Jeanmart, Philippe, Jeffery, Kathryn J., Kearsley, Elizabeth, Leal, Miguel E., Lloyd, Jon, Lovett, Jon C., Makana, Jean Remy, Malhi, Yadvinder, Marshall, Andrew R., Ojo, Lucas, Peh, Kelvin S.H., Pickavance, Georgia, Poulsen, John R., Reitsma, Jan M., Sheil, Douglas, Simo, Murielle, Steppe, Kathy, Taedoumg, Hermann E., Talbot, Joey, Taplin, James R.D., Taylor, David, Thomas, Sean C., Toirambe, Benjamin, Verbeeck, Hans, Vleminckx, Jason, White, Lee J.T., Willcock, Simon, Woell, Hannsjorg, Zemagho, Lise, Lewis, Simon L., Sonké, Bonaventure, Sunderland, Terry, Begne, Serge K., Lopez-Gonzalez, Gabriela, van der Heijden, Geertje M.F., Phillips, Oliver L., Affum-Baffoe, Kofi, Baker, Timothy R., Banin, Lindsay, Bastin, Jean François, Beeckman, Hans, Boeckx, Pascal, Bogaert, Jan, De Cannière, Charles, Chezeaux, Eric, Clark, Connie J., Collins, Murray, Djagbletey, Gloria, Djuikouo, Marie Noël K., Droissart, Vincent, Doucet, Jean Louis, Ewango, Cornielle E.N., Fauset, Sophie, Feldpausch, Ted R., Foli, Ernest G., Gillet, Jean François, Hamilton, Alan C., Harris, David J., Hart, Terese B., de Haulleville, Thales, Hladik, Annette, Hufkens, Koen, Huygens, Dries, Jeanmart, Philippe, Jeffery, Kathryn J., Kearsley, Elizabeth, Leal, Miguel E., Lloyd, Jon, Lovett, Jon C., Makana, Jean Remy, Malhi, Yadvinder, Marshall, Andrew R., Ojo, Lucas, Peh, Kelvin S.H., Pickavance, Georgia, Poulsen, John R., Reitsma, Jan M., Sheil, Douglas, Simo, Murielle, Steppe, Kathy, Taedoumg, Hermann E., Talbot, Joey, Taplin, James R.D., Taylor, David, Thomas, Sean C., Toirambe, Benjamin, Verbeeck, Hans, Vleminckx, Jason, White, Lee J.T., Willcock, Simon, Woell, Hannsjorg, and Zemagho, Lise
Abstract: We report above-ground biomass (AGB), basal area, stemdensity and wood mass density estimates from 260 sample plots (mean size: 1.2 ha) in intact closed-canopy tropical forests across 12 African countries. Mean AGB is 395.7 Mg dry mass ha-1 (95% CI: 14.3), substantially higher than Amazonian values, with the Congo Basin and contiguous forest region attaining AGB values (429 Mg ha-1) similar to those of Bornean forests, and significantly greater than East or West African forests. AGB therefore appears generally higher in palaeo- comparedwithneotropical forests.However, mean stem density is low(426±11 stems ha-1 greater than or equal to 100 mm diameter) compared with both Amazonian and Bornean forests (cf. approx. 600) and is the signature structural feature of African tropical forests. While spatial autocorrelation complicates analyses, AGB shows a positive relationship with rainfall in the driest nine months of the year, and an opposite association with the wettest three months of the year; a negative relationship with temperature; positive relationship with clay-rich soils; and negative relationshipswith C:Nratio (suggesting a positive soil phosphorus- AGB relationship), and soil fertility computed as the sum of base cations. The results indicate that AGB is mediated by both climate and soils, and suggest that the AGB of African closed-canopy tropical forests may be particularly sensitive to future precipitation and temperature changes.
Published: 2013

42. Protected areas:mixed success in conserving East Africa’s evergreen forests

Author: Pfeifer, Marion, Burgess, Neil David, Swetnam, Ruth D., Platts, Philip J., Willcock, Simon, Marchant, Robert, Pfeifer, Marion, Burgess, Neil David, Swetnam, Ruth D., Platts, Philip J., Willcock, Simon, and Marchant, Robert
Published: 2012

43. Towards Regional, Error-Bounded Landscape Carbon Storage Estimates for Data-Deficient Areas of the World

Author: Willcock, Simon, Phillips, Oliver L., Platts, Philip J., Balmford, Andrew, Burgess, Neil David, Lovett, Jon C., Ahrends, Antje, Bayliss, Julian, Doggart, Nike, Doody, Kathryn, Fanning, Eibleis, Green, Jonathan, Hall, Jaclyn, Howell, Kim L., Marchant, Rob, Marshall, Andrew R., Mbilinyi, Boniface, Munishi, Pantaleon K.T., Owen, Nisha, Swetnam, Ruth D., Topp-Jorgensen, Elmer J., Lewis, Simon L., Willcock, Simon, Phillips, Oliver L., Platts, Philip J., Balmford, Andrew, Burgess, Neil David, Lovett, Jon C., Ahrends, Antje, Bayliss, Julian, Doggart, Nike, Doody, Kathryn, Fanning, Eibleis, Green, Jonathan, Hall, Jaclyn, Howell, Kim L., Marchant, Rob, Marshall, Andrew R., Mbilinyi, Boniface, Munishi, Pantaleon K.T., Owen, Nisha, Swetnam, Ruth D., Topp-Jorgensen, Elmer J., and Lewis, Simon L.
Abstract: Monitoring landscape carbon storage is critical for supporting and validating climate change mitigation policies. These may be aimed at reducing deforestation and degradation, or increasing terrestrial carbon storage at local, regional and global levels. However, due to data-deficiencies, default global carbon storage values for given land cover types such as â€˜lowland tropical forestâ€™ are often used, termed â€˜Tier 1 typeâ€™ analyses by the Intergovernmental Panel on Climate Change (IPCC). Such estimates may be erroneous when used at regional scales. Furthermore uncertainty assessments are rarely provided leading to estimates of land cover change carbon fluxes of unknown precision which may undermine efforts to properly evaluate land cover policies aimed at altering land cover dynamics. Here, we present a repeatable method to estimate carbon storage values and associated 95% confidence intervals (CI) for all five IPCC carbon pools (aboveground live carbon, litter, coarse woody debris, belowground live carbon and soil carbon) for data-deficient regions, using a combination of existing inventory data and systematic literature searches, weighted to ensure the final values are regionally specific. The method meets the IPCC â€˜Tier 2â€™ reporting standard. We use this method to estimate carbon storage over an area of33.9 million hectares of eastern Tanzania, reporting values for 30 land cover types. We estimate that this area stored 6.33 (5.92â€“6.74) Pg C in the year 2000. Carbon storage estimates for the same study area extracted from five published Africa-wide or global studies show a mean carbon storage value of âˆ¼50% of that reported using our regional values, with four of the five studies reporting lower carbon storage values. This suggests that carbon storage may have been underestimated for this region of Africa. Our study demonstrates the importance of obtaining regionally appropriate carbon storage estimates, and shows how such values can be produced fo
Published: 2012

44. Enhancing Tanzanian capacity to deliver short and long term data on forest carbon stocks across the country

Author: Burgess, Neil David, Munishi, Panteleo, Mwakalila, Shadrack, Pfeifer, Marion, Willcock, Simon, Shirima, Deo, Hamidu, Seki, Bulenga, George B., Marchant, Robert, Burgess, Neil David, Munishi, Panteleo, Mwakalila, Shadrack, Pfeifer, Marion, Willcock, Simon, Shirima, Deo, Hamidu, Seki, Bulenga, George B., and Marchant, Robert
Published: 2012

45. Getting ready for REDD+ in Tanzania: a case study of progress and challenges

Author: Burgess, Neil David, Bahane, Bruno, Clairs, Tim, Danielsen, Finn, Dalsgaard, Søren, Funder , Mikkel, Hagelberg, Niklas, Harrison, Paul, Haule, Christognus, Kabalimu, Kekilia, Kilawe, Edward, Lewis, Simon L., Lovett, Jon C., Lyatuu, Gertrude, Munishi, Andrew R., Nashanda, Evarist, Shirima, Deo, Swetnam, Ruth D., Willcock, Simon, Williams, Andrew, Zahabu, Eliakim, Burgess, Neil David, Bahane, Bruno, Clairs, Tim, Danielsen, Finn, Dalsgaard, Søren, Funder , Mikkel, Hagelberg, Niklas, Harrison, Paul, Haule, Christognus, Kabalimu, Kekilia, Kilawe, Edward, Lewis, Simon L., Lovett, Jon C., Lyatuu, Gertrude, Munishi, Andrew R., Nashanda, Evarist, Shirima, Deo, Swetnam, Ruth D., Willcock, Simon, Williams, Andrew, and Zahabu, Eliakim
Abstract: The proposed mechanism for Reducing Emissions from Deforestation and Degradation (REDD+) offers significant potential for conserving forests to reduce negative impacts of climate change. Tanzania is one of nine pilot countries for the United Nations REDD Programme, receives significant funding from the Norwegian, Finnish and German governments and is a participant in the World Bank’s Forest Carbon Partnership Facility. In combination, these interventions aim to mitigate greenhouse gas emissions, provide an income to rural communities and conserve biodiversity. The establishment of the UN-REDD Programme in Tanzania illustrates real-world challenges in a developing country. These include currently inadequate baseline forestry data sets (needed to calculate reference emission levels), inadequate government capacity and insufficient experience of implementing REDD+-type measures at operational levels. Additionally, for REDD+ to succeed, current users of forest resources must adopt new practices, including the equitable sharing of benefits that accrue from REDD+ implementation. These challenges are being addressed by combined donor support to implement a national forest inventory, remote sensing of forest cover, enhanced capacity for measuring, reporting and verification, and pilot projects to test REDD+ implementation linked to the existing Participatory Forest Management Programme. Our conclusion is that even in a country with considerable donor support, progressive forest policies, laws and regulations, an extensive network of managed forests and increasingly developed locally-based forest management approaches, implementing REDD+ presents many challenges. These are being met by coordinated, genuine partnerships between government, non-government and community-based agencies.
Published: 2010

46. An insight into the delivery of a palliative approach in residential aged care: The general practitioner perspective

Author: Phillips, Jane, Davidson, Patricia M., Willcock, Simon, Phillips, Jane, Davidson, Patricia M., and Willcock, Simon
Abstract: Managing the complex care needs of older people is a global concern. General practitioners (GPs) play a pivotal role in aged care, yet little is known about their capacity to provide palliative care in nursing homes. This study aimed to investigate GPs' perceptions and understanding of a palliative approach. A convenience sample of rural GPs (n = 13) participated in a series of three focus groups undertaken in August, 2005. These focus groups were all audio-taped, transcribed, and analyzed using thematic content analysis. Four key themes emerged: uncertainty about a palliative approach, a need to reorientate providers, the challenges of managing third parties, and making it work and moving forward. These preliminary findings suggest that integrating a palliative approach in aged care requires GPs to have a greater awareness of this paradigm and to be more effectively engaged in multidisciplinary care planning.
Published: 2009

47. The global abundance of tree palms

Author: Muscarella, Robert, Emilio, Thaise, Phillips, Oliver L., Lewis, Simon L., Slik, Ferry, Baker, William J., Couvreur, Thomas L. P., Eiserhardt, Wolf L., Svenning, Jens‐Christian, Affum‐Baffoe, Kofi, Aiba, Shin‐Ichiro, Almeida, Everton C., Almeida, Samuel S., Oliveira, Edmar Almeida, Álvarez‐Dávila, Esteban, Alves, Luciana F., Alvez‐Valles, Carlos Mariano, Carvalho, Fabrício Alvim, Guarin, Fernando Alzate, Andrade, Ana, Aragão, Luis E. O. C., Murakami, Alejandro Araujo, Arroyo, Luzmila, Ashton, Peter S., Corredor, Gerardo A. Aymard, Baker, Timothy R., Camargo, Plinio Barbosa, Barlow, Jos, Bastin, Jean‐François, Bengone, Natacha Nssi, Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Böhning‐Gaese, Katrin, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brambach, Fabian, Brearley, Francis Q., Brewer, Steven W., Camargo, Jose L. C., Campbell, David G., Castilho, Carolina V., Castro, Wendeson, Catchpole, Damien, Cerón Martínez, Carlos E., Chen, Shengbin, Chhang, Phourin, Cho, Percival, Chutipong, Wanlop, Clark, Connie, Collins, Murray, Comiskey, James A., Medina, Massiel Nataly Corrales, Costa, Flávia R. C., Culmsee, Heike, David‐Higuita, Heriberto, Davidar, Priya, Aguila‐Pasquel, Jhon, Derroire, Géraldine, Di Fiore, Anthony, Van Do, Tran, Doucet, Jean‐Louis, Dourdain, Aurélie, Drake, Donald R., Ensslin, Andreas, Erwin, Terry, Ewango, Corneille E. N., Ewers, Robert M., Fauset, Sophie, Feldpausch, Ted R., Ferreira, Joice, Ferreira, Leandro Valle, Fischer, Markus, Franklin, Janet, Fredriksson, Gabriella M., Gillespie, Thomas W., Gilpin, Martin, Gonmadje, Christelle, Gunatilleke, Arachchige Upali Nimal, Hakeem, Khalid Rehman, Hall, Jefferson S., Hamer, Keith C., Harris, David J., Harrison, Rhett D., Hector, Andrew, Hemp, Andreas, Herault, Bruno, Pizango, Carlos Gabriel Hidalgo, Coronado, Eurídice N. Honorio, Hubau, Wannes, Hussain, Mohammad Shah, Ibrahim, Faridah‐Hanum, Imai, Nobuo, Joly, Carlos A., Joseph, Shijo, K, Anitha, Kartawinata, Kuswata, Kassi, Justin, Killeen, Timothy J., Kitayama, Kanehiro, Klitgård, Bente Bang, Kooyman, Robert, Labrière, Nicolas, Larney, Eileen, Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Levesley, Aurora, Lisingo, Janvier, Lovejoy, Thomas, Lovett, Jon C., Lu, Xinghui, Lykke, Anne Mette, Magnusson, William E., Mahayani, Ni Putu Diana, Malhi, Yadvinder, Mansor, Asyraf, Peña, Jose Luis Marcelo, Marimon‐Junior, Ben H., Marshall, Andrew R., Melgaco, Karina, Bautista, Casimiro Mendoza, Mihindou, Vianet, Millet, Jérôme, Milliken, William, Mohandass, D., Mendoza, Abel Lorenzo Monteagudo, Mugerwa, Badru, Nagamasu, Hidetoshi, Nagy, Laszlo, Seuaturien, Naret, Nascimento, Marcelo T., Neill, David A., Neto, Luiz Menini, Nilus, Rueben, Vargas, Mario Percy Núñez, Nurtjahya, Eddy, Araújo, R. Nazaré O., Onrizal, Onrizal, Palacios, Walter A., Palacios‐Ramos, Sonia, Parren, Marc, Paudel, Ekananda, Morandi, Paulo S., Pennington, R. Toby, Pickavance, Georgia, Pipoly, John J., Pitman, Nigel C. A., Poedjirahajoe, Erny, Poorter, Lourens, Poulsen, John R., Rama Chandra Prasad, P., Prieto, Adriana, Puyravaud, Jean‐Philippe, Qie, Lan, Quesada, Carlos A., Ramírez‐Angulo, Hirma, Razafimahaimodison, Jean Claude, Reitsma, Jan Meindert, Requena‐Rojas, Edilson J., Correa, Zorayda Restrepo, Rodriguez, Carlos Reynel, Roopsind, Anand, Rovero, Francesco, Rozak, Andes, Lleras, Agustín Rudas, Rutishauser, Ervan, Rutten, Gemma, Punchi‐Manage, Ruwan, Salomão, Rafael P., Van Sam, Hoang, Sarker, Swapan Kumar, Satdichanh, Manichanh, Schietti, Juliana, Schmitt, Christine B., Marimon, Beatriz Schwantes, Senbeta, Feyera, Nath Sharma, Lila, Sheil, Douglas, Sierra, Rodrigo, Silva‐Espejo, Javier E., Silveira, Marcos, Sonké, Bonaventure, Steininger, Marc K., Steinmetz, Robert, Stévart, Tariq, Sukumar, Raman, Sultana, Aisha, Sunderland, Terry C. H., Suresh, Hebbalalu Satyanarayana, Tang, Jianwei, Tanner, Edmund, Steege, Hans, Terborgh, John W., Theilade, Ida, Timberlake, Jonathan, Torres‐Lezama, Armando, Umunay, Peter, Uriarte, María, Gamarra, Luis Valenzuela, Bult, Martin, Hout, Peter, Martinez, Rodolfo Vasquez, Vieira, Ima Célia Guimarães, Vieira, Simone A., Vilanova, Emilio, Cayo, Jeanneth Villalobos, Wang, Ophelia, Webb, Campbell O., Webb, Edward L., White, Lee, Whitfeld, Timothy J. S., Wich, Serge, Willcock, Simon, Wiser, Susan K., Young, Kenneth R., Zakaria, Rahmad, Zang, Runguo, Zartman, Charles E., Zo‐Bi, Irié Casimir, McGeoch, Melodie, Balslev, Henrik, Muscarella, Robert, Emilio, Thaise, Phillips, Oliver L., Lewis, Simon L., Slik, Ferry, Baker, William J., Couvreur, Thomas L. P., Eiserhardt, Wolf L., Svenning, Jens‐Christian, Affum‐Baffoe, Kofi, Aiba, Shin‐Ichiro, Almeida, Everton C., Almeida, Samuel S., Oliveira, Edmar Almeida, Álvarez‐Dávila, Esteban, Alves, Luciana F., Alvez‐Valles, Carlos Mariano, Carvalho, Fabrício Alvim, Guarin, Fernando Alzate, Andrade, Ana, Aragão, Luis E. O. C., Murakami, Alejandro Araujo, Arroyo, Luzmila, Ashton, Peter S., Corredor, Gerardo A. Aymard, Baker, Timothy R., Camargo, Plinio Barbosa, Barlow, Jos, Bastin, Jean‐François, Bengone, Natacha Nssi, Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Böhning‐Gaese, Katrin, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brambach, Fabian, Brearley, Francis Q., Brewer, Steven W., Camargo, Jose L. C., Campbell, David G., Castilho, Carolina V., Castro, Wendeson, Catchpole, Damien, Cerón Martínez, Carlos E., Chen, Shengbin, Chhang, Phourin, Cho, Percival, Chutipong, Wanlop, Clark, Connie, Collins, Murray, Comiskey, James A., Medina, Massiel Nataly Corrales, Costa, Flávia R. C., Culmsee, Heike, David‐Higuita, Heriberto, Davidar, Priya, Aguila‐Pasquel, Jhon, Derroire, Géraldine, Di Fiore, Anthony, Van Do, Tran, Doucet, Jean‐Louis, Dourdain, Aurélie, Drake, Donald R., Ensslin, Andreas, Erwin, Terry, Ewango, Corneille E. N., Ewers, Robert M., Fauset, Sophie, Feldpausch, Ted R., Ferreira, Joice, Ferreira, Leandro Valle, Fischer, Markus, Franklin, Janet, Fredriksson, Gabriella M., Gillespie, Thomas W., Gilpin, Martin, Gonmadje, Christelle, Gunatilleke, Arachchige Upali Nimal, Hakeem, Khalid Rehman, Hall, Jefferson S., Hamer, Keith C., Harris, David J., Harrison, Rhett D., Hector, Andrew, Hemp, Andreas, Herault, Bruno, Pizango, Carlos Gabriel Hidalgo, Coronado, Eurídice N. Honorio, Hubau, Wannes, Hussain, Mohammad Shah, Ibrahim, Faridah‐Hanum, Imai, Nobuo, Joly, Carlos A., Joseph, Shijo, K, Anitha, Kartawinata, Kuswata, Kassi, Justin, Killeen, Timothy J., Kitayama, Kanehiro, Klitgård, Bente Bang, Kooyman, Robert, Labrière, Nicolas, Larney, Eileen, Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Levesley, Aurora, Lisingo, Janvier, Lovejoy, Thomas, Lovett, Jon C., Lu, Xinghui, Lykke, Anne Mette, Magnusson, William E., Mahayani, Ni Putu Diana, Malhi, Yadvinder, Mansor, Asyraf, Peña, Jose Luis Marcelo, Marimon‐Junior, Ben H., Marshall, Andrew R., Melgaco, Karina, Bautista, Casimiro Mendoza, Mihindou, Vianet, Millet, Jérôme, Milliken, William, Mohandass, D., Mendoza, Abel Lorenzo Monteagudo, Mugerwa, Badru, Nagamasu, Hidetoshi, Nagy, Laszlo, Seuaturien, Naret, Nascimento, Marcelo T., Neill, David A., Neto, Luiz Menini, Nilus, Rueben, Vargas, Mario Percy Núñez, Nurtjahya, Eddy, Araújo, R. Nazaré O., Onrizal, Onrizal, Palacios, Walter A., Palacios‐Ramos, Sonia, Parren, Marc, Paudel, Ekananda, Morandi, Paulo S., Pennington, R. Toby, Pickavance, Georgia, Pipoly, John J., Pitman, Nigel C. A., Poedjirahajoe, Erny, Poorter, Lourens, Poulsen, John R., Rama Chandra Prasad, P., Prieto, Adriana, Puyravaud, Jean‐Philippe, Qie, Lan, Quesada, Carlos A., Ramírez‐Angulo, Hirma, Razafimahaimodison, Jean Claude, Reitsma, Jan Meindert, Requena‐Rojas, Edilson J., Correa, Zorayda Restrepo, Rodriguez, Carlos Reynel, Roopsind, Anand, Rovero, Francesco, Rozak, Andes, Lleras, Agustín Rudas, Rutishauser, Ervan, Rutten, Gemma, Punchi‐Manage, Ruwan, Salomão, Rafael P., Van Sam, Hoang, Sarker, Swapan Kumar, Satdichanh, Manichanh, Schietti, Juliana, Schmitt, Christine B., Marimon, Beatriz Schwantes, Senbeta, Feyera, Nath Sharma, Lila, Sheil, Douglas, Sierra, Rodrigo, Silva‐Espejo, Javier E., Silveira, Marcos, Sonké, Bonaventure, Steininger, Marc K., Steinmetz, Robert, Stévart, Tariq, Sukumar, Raman, Sultana, Aisha, Sunderland, Terry C. H., Suresh, Hebbalalu Satyanarayana, Tang, Jianwei, Tanner, Edmund, Steege, Hans, Terborgh, John W., Theilade, Ida, Timberlake, Jonathan, Torres‐Lezama, Armando, Umunay, Peter, Uriarte, María, Gamarra, Luis Valenzuela, Bult, Martin, Hout, Peter, Martinez, Rodolfo Vasquez, Vieira, Ima Célia Guimarães, Vieira, Simone A., Vilanova, Emilio, Cayo, Jeanneth Villalobos, Wang, Ophelia, Webb, Campbell O., Webb, Edward L., White, Lee, Whitfeld, Timothy J. S., Wich, Serge, Willcock, Simon, Wiser, Susan K., Young, Kenneth R., Zakaria, Rahmad, Zang, Runguo, Zartman, Charles E., Zo‐Bi, Irié Casimir, McGeoch, Melodie, and Balslev, Henrik
Abstract: Aim Palms are an iconic, diverse and often abundant component of tropical ecosystems that provide many ecosystem services. Being monocots, tree palms are evolutionarily, morphologically and physiologically distinct from other trees, and these differences have important consequences for ecosystem services (e.g., carbon sequestration and storage) and in terms of responses to climate change. We quantified global patterns of tree palm relative abundance to help improve understanding of tropical forests and reduce uncertainty about these ecosystems under climate change. Location Tropical and subtropical moist forests. Time period Current. Major taxa studied Palms (Arecaceae). Methods We assembled a pantropical dataset of 2,548 forest plots (covering 1,191 ha) and quantified tree palm (i.e., ≥10 cm diameter at breast height) abundance relative to co‐occurring non‐palm trees. We compared the relative abundance of tree palms across biogeographical realms and tested for associations with palaeoclimate stability, current climate, edaphic conditions and metrics of forest structure. Results On average, the relative abundance of tree palms was more than five times larger between Neotropical locations and other biogeographical realms. Tree palms were absent in most locations outside the Neotropics but present in >80% of Neotropical locations. The relative abundance of tree palms was more strongly associated with local conditions (e.g., higher mean annual precipitation, lower soil fertility, shallower water table and lower plot mean wood density) than metrics of long‐term climate stability. Life‐form diversity also influenced the patterns; palm assemblages outside the Neotropics comprise many non‐tree (e.g., climbing) palms. Finally, we show that tree palms can influence estimates of above‐ground biomass, but the magnitude and direction of the effect require additional work. Conclusions Tree palms are not only quintessentially tropical, but they are also overwhelmingly Neotropical

48. Taking the pulse of Earth's tropical forests using networks of highly distributed plots

Author: ForestPlots.net, Blundo, Cecilia, Carilla, Julieta, Grau, Ricardo, Malizia, Agustina, Malizia, Lucio, Osinaga-Acosta, Oriana, Bird, Michael, Bradford, Matt, Catchpole, Damien, Ford, Andrew, Graham, Andrew, Hilbert, David, Kemp, Jeanette, Laurance, Susan, Laurance, William, Ishida, Francoise Yoko, Marshall, Andrew, Waite, Catherine, Woell, Hannsjoerg, Bastin, Jean-Francois, Bauters, Marijn, Beeckman, Hans, Boeckx, Pfascal, Bogaert, Jan, De Canniere, Charles, de Haulleville, Thales, Doucet, Jean-Louis, Hardy, Olivier, Hubau, Wannes, Kearsley, Elizabeth, Verbeeck, Hans, Vleminckx, Jason, Brewer, Steven W., Alarcón, Alfredo, Araujo-Murakami, Alejandro, Arets, Eric, Arroyo, Luzmila, Chavez, Ezequiel, Fredericksen, Todd, Villaroel, René Guillén, Sibauty, Gloria Gutierrez, Killeen, Timothy, Licona, Juan Carlos, Lleigue, John, Mendoza, Casimiro, Murakami, Samaria, Gutierrez, Alexander Parada, Pardo, Guido, Peña-Claros, Marielos, Poorter, Lourens, Toledo, Marisol, Cayo, Jeanneth Villalobos, Viscarra, Laura Jessica, Vos, Vincent, Ahumada, Jorge, Almeida, Everton, Almeida, Jarcilene, de Oliveira, Edmar Almeida, da Cruz, Wesley Alves, de Oliveira, Atila Alves, Carvalho, Fabrício Alvim, Obermuller, Flávio Amorim, Andrade, Ana, Carvalho, Fernanda Antunes, Vieira, Simone Aparecida, Aquino, Ana Carla, Aragão, Luiz, Araújo, Ana Claudia, Assis, Marco Antonio, Gomes, Jose Ataliba Mantelli Aboin, Baccaro, Fabrício, de Camargo, Plínio Barbosa, Barni, Paulo, Barroso, Jorcely, Bernacci, Luis Carlos, Bordin, Kauane, de Medeiros, Marcelo Brilhante, Broggio, Igor, Camargo, José Luís, Cardoso, Domingos, Carniello, Maria Antonia, Rochelle, Andre Luis Casarin, Castilho, Carolina, Castro, Antonio Alberto Jorge Farias, Castro, Wendeson, Ribeiro, Sabina Cerruto, Costa, Flávia, de Oliveira, Rodrigo Costa, Coutinho, Italo, Cunha, John, da Costa, Lola, da Costa Ferreira, Lucia, da Costa Silva, Richarlly, da Graça Zacarias Simbine, Marta, de Andrade Kamimura, Vitor, de Lima, Haroldo Cavalcante, de Oliveira Melo, Lia, de Queiroz, Luciano, de Sousa Lima, José Romualdo, do Espírito Santo, Mário, Domingues, Tomas, dos Santos Prestes, Nayane Cristina, Carneiro, Steffan Eduardo Silva, Elias, Fernando, Eliseu, Gabriel, Emilio, Thaise, Farrapo, Camila Laís, Fernandes, Letícia, Ferreira, Gustavo, Ferreira, Joice, Ferreira, Leandro, Ferreira, Socorro, Simon, Marcelo Fragomeni, Freitas, Maria Aparecida, García, Queila S., Manzatto, Angelo Gilberto, Graça, Paulo, Guilherme, Frederico, Hase, Eduardo, Higuchi, Niro, Iguatemy, Mariana, Barbosa, Reinaldo Imbrozio, Jaramillo, Margarita, Joly, Carlos, Klipel, Joice, do Amaral, Iêda Leão, Levis, Carolina, Lima, Antonio S., Dan, Maurício Lima, Lopes, Aline, Madeiros, Herison, Magnusson, William E., dos Santos, Rubens Manoel, Marimon, Beatriz, Junior, Ben Hur Marimon, Grillo, Roberta Marotti Martelletti, Martinelli, Luiz, Reis, Simone Matias, Medeiros, Salomão, Meira-Junior, Milton, Metzker, Thiago, Morandi, Paulo, do Nascimento, Natanael Moreira, Moura, Magna, Müller, Sandra Cristina, Nagy, Laszlo, Nascimento, Henrique, Nascimento, Marcelo, Lima, Adriano Nogueira, de Araújo, Raimunda Oliveira, Silva, Jhonathan Oliveira, Pansonato, Marcelo, Sabino, Gabriel Pavan, de Abreu, Karla Maria Pedra, Rodrigues, Pablo José Francisco Pena, Piedade, Maria, Rodrigues, Domingos, Rodrigues Pinto, José Roberto, Quesada, Carlos, Ramos, Eliana, Ramos, Rafael, Rodrigues, Priscyla, de Sousa, Thaiane Rodrigues, Salomão, Rafael, Santana, Flávia, Scaranello, Marcos, Bergamin, Rodrigo Scarton, Schietti, Juliana, Schöngart, Jochen, Schwartz, Gustavo, Silva, Natalino, Silveira, Marcos, Seixas, Cristiana Simão, Simbine, Marta, Souza, Ana Claudia, Souza, Priscila, Souza, Rodolfo, Sposito, Tereza, Junior, Edson Stefani, do Vale, Julio Daniel, Vieira, Ima Célia Guimarães, Villela, Dora, Vital, Marcos, Xaud, Haron, Zanini, Katia, Zartman, Charles Eugene, Ideris, Nur Khalish Hafizhah, Metali, Faizah binti Hj, Salim, Kamariah Abu, Saparudin, Muhd Shahruney, Serudin, Rafizah Mat, Sukri, Rahayu Sukmaria, Begne, Serge, Chuyong, George, Djuikouo, Marie Noel, Gonmadje, Christelle, Simo-Droissart, Murielle, Sonké, Bonaventure, Taedoumg, Hermann, Zemagho, Lise, Thomas, Sean, Baya, Fidèle, Saiz, Gustavo, Espejo, Javier Silva, Chen, Dexiang, Hamilton, Alan, Li, Yide, Luo, Tushou, Niu, Shukui, Xu, Han, Zhou, Zhang, Álvarez-Dávila, Esteban, Escobar, Juan Carlos Andrés, Arellano-Peña, Henry, Duarte, Jaime Cabezas, Calderón, Jhon, Bravo, Lina Maria Corrales, Cuadrado, Borish, Cuadros, Hermes, Duque, Alvaro, Duque, Luisa Fernanda, Espinosa, Sandra Milena, Franke-Ante, Rebeca, García, Hernando, Gómez, Alejandro, González-M., Roy, Idárraga-Piedrahíta, Álvaro, Jimenez, Eliana, Jurado, Rubén, Oviedo, Wilmar López, López-Camacho, René, Cruz, Omar Aurelio Melo, Polo, Irina Mendoza, Paky, Edwin, Pérez, Karen, Pijachi, Angel, Pizano, Camila, Prieto, Adriana, Ramos, Laura, Correa, Zorayda Restrepo, Richardson, James, Rodríguez, Elkin, Rodriguez M., Gina M., Rudas, Agustín, Stevenson, Pablo, Chudomelová, Markéta, Dancak, Martin, Hédl, Radim, Lhota, Stanislav, Svatek, Martin, Mukinzi, Jacques, Ewango, Corneille, Hart, Terese, Yakusu, Emmanuel Kasongo, Lisingo, Janvier, Makana, Jean-Remy, Mbayu, Faustin, Toirambe, Benjamin, Mukendi, John Tshibamba, Kvist, Lars, Nebel, Gustav, Báez, Selene, Céron, Carlos, Griffith, Daniel M., Andino, Juan Ernesto Guevara, Neill, David, Palacios, Walter, Peñuela-Mora, Maria Cristina, Rivas-Torres, Gonzalo, Villa, Gorky, Demissie, Sheleme, Gole, Tadesse, Gonfa, Techane, Ruokolainen, Kalle, Baisie, Michel, Bénédet, Fabrice, Betian, Wemo, Bezard, Vincent, Bonal, Damien, Chave, Jerôme, Droissart, Vincent, Gourlet-Fleury, Sylvie, Hladik, Annette, Labrière, Nicolas, Naisso, Pétrus, Réjou-Méchain, Maxime, Sist, Plinio, Blanc, Lilian, Burban, Benoit, Derroire, Géraldine, Dourdain, Aurélie, Stahl, Clement, Bengone, Natacha Nssi, Chezeaux, Eric, Ondo, Fidèle Evouna, Medjibe, Vincent, Mihindou, Vianet, White, Lee, Culmsee, Heike, Rangel, Cristabel Durán, Horna, Viviana, Wittmann, Florian, Adu-Bredu, Stephen, Affum-Baffoe, Kofi, Foli, Ernest, Balinga, Michael, Roopsind, Anand, Singh, James, Thomas, Raquel, Zagt, Roderick, Murthy, Indu K., Kartawinata, Kuswata, Mirmanto, Edi, Priyadi, Hari, Samsoedin, Ismayadi, Sunderland, Terry, Yassir, Ishak, Rovero, Francesco, Vinceti, Barbara, Hérault, Bruno, Aiba, Shin-Ichiro, Kitayama, Kanehiro, Daniels, Armandu, Tuagben, Darlington, Woods, John T., Fitriadi, Muhammad, Karolus, Alexander, Khoon, Kho Lip, Majalap, Noreen, Maycock, Colin, Nilus, Reuben, Tan, Sylvester, Sitoe, Almeida, Coronado G., Indiana, Ojo, Lucas, de Assis, Rafael, Poulsen, Axel Dalberg, Sheil, Douglas, Pezo, Karen Arévalo, Verde, Hans Buttgenbach, Moscoso, Victor Chama, Oroche, Jimmy Cesar Cordova, Valverde, Fernando Cornejo, Medina, Massiel Corrales, Cardozo, Nallaret Davila, de Rutte Corzo, Jano, del Aguila Pasquel, Jhon, Llampazo, Gerardo Flores, Freitas, Luis, Cabrera, Darcy Galiano, Villacorta, Roosevelt García, Cabrera, Karina Garcia, Soria, Diego García, Saboya, Leticia Gatica, Rios, Julio Miguel Grandez, Pizango, Gabriel Hidalgo, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Aedo, Yuri Tomas Huillca, Peña, Jose Luis Marcelo, Mendoza, Abel Monteagudo, Rodriguez, Vanesa Moreano, Vargas, Percy Núñez, Ramos, Sonia Cesarina Palacios, Camacho, Nadir Pallqui, Cruz, Antonio Peña, Arevalo, Freddy Ramirez, Huaymacari, José Reyna, Rodriguez, Carlos Reynel, Paredes, Marcos Antonio Ríos, Bayona, Lily Rodriguez, del Pilar Rojas Gonzales, Rocio, Peña, Maria Elena Rojas, Revilla, Norma Salinas, Shareva, Yahn Carlos Soto, Trujillo, Raul Tupayachi, Gamarra, Luis Valenzuela, Martinez, Rodolfo Vasquez, Arenas, Jim Vega, Amani, Christian, Ifo, Suspense Averti, Bocko, Yannick, Boundja, Patrick, Ekoungoulou, Romeo, Hockemba, Mireille, Nzala, Donatien, Fofanah, Alusine, Taylor, David, Bañares-de Dios, Guillermo, Cayuela, Luis, la Cerda, Íñigo Granzow-de, Macía, Manuel, Stropp, Juliana, Playfair, Maureen, Wortel, Verginia, Gardner, Toby, Muscarella, Robert, Rutishauser, Ervan, Chao, Kuo-Jung, Munishi, Pantaleo, Bánki, Olaf, Bongers, Frans, Boot, Rene, Fredriksson, Gabriella, Reitsma, Jan, ter Steege, Hans, van Andel, Tinde, van de Meer, Peter, van der Hout, Peter, van Nieuwstadt, Mark, van Ulft, Bert, Veenendaal, Elmar, Vernimmen, Ronald, Zuidema, Pieter, Zwerts, Joeri, Akite, Perpetra, Bitariho, Robert, Chapman, Colin, Gerald, Eilu, Leal, Miguel, Mucunguzi, Patrick, Abernethy, Katharine, Alexiades, Miguel, Baker, Timothy R., Banda, Karina, Banin, Lindsay, Barlow, Jos, Bennett, Amy, Berenguer, Erika, Berry, Nicholas, Bird, Neil M., Blackburn, George A., Brearley, Francis, Brienen, Roel, Burslem, David, Carvalho, Lidiany, Cho, Percival, Coelho, Fernanda, Collins, Murray, Coomes, David, Cuni-Sanchez, Aida, Dargie, Greta, Dexter, Kyle, Disney, Mat, Draper, Freddie, Duan, Muying, Esquivel-Muelbert, Adriane, Ewers, Robert, Fadrique, Belen, Fauset, Sophie, Feldpausch, Ted R., França, Filipe, Galbraith, David, Gilpin, Martin, Gloor, Emanuel, Grace, John, Hamer, Keith, Harris, David, Jeffery, Kath, Jucker, Tommaso, Kalamandeen, Michelle, Klitgaard, Bente, Levesley, Aurora, Lewis, Simon L., Lindsell, Jeremy, Lopez-Gonzalez, Gabriela, Lovett, Jon, Malhi, Yadvinder, Marthews, Toby, McIntosh, Emma, Melgaço, Karina, Milliken, William, Mitchard, Edward, Moonlight, Peter, Moore, Sam, Morel, Alexandra, Peacock, Julie, Peh, Kelvin S.-H., Pendry, Colin, Pennington, R. Toby, de Oliveira Pereira, Luciana, Peres, Carlos, Phillips, Oliver L., Pickavance, Georgia, Pugh, Thomas, Qie, Lan, Riutta, Terhi, Roucoux, Katherine, Ryan, Casey, Sarkinen, Tiina, Valeria, Camila Silva, Spracklen, Dominick, Stas, Suzanne, Sullivan, Martin, Swaine, Michael, Talbot, Joey, Taplin, James, van der Heijden, Geertje, Vedovato, Laura, Willcock, Simon, Williams, Mathew, Alves, Luciana, Loayza, Patricia Alvarez, Arellano, Gabriel, Asa, Cheryl, Ashton, Peter, Asner, Gregory, Brncic, Terry, Brown, Foster, Burnham, Robyn, Clark, Connie, Comiskey, James, Damasco, Gabriel, Davies, Stuart, Di Fiore, Tony, Erwin, Terry, Farfan-Rios, William, Hall, Jefferson, Kenfack, David, Lovejoy, Thomas, Martin, Roberta, Montiel, Olga Martha, Pipoly, John, Pitman, Nigel, Poulsen, John, Primack, Richard, Silman, Miles, Steininger, Marc, Swamy, Varun, Terborgh, John, Thomas, Duncan, Umunay, Peter, Uriarte, Maria, Torre, Emilio Vilanova, Wang, Ophelia, Young, Kenneth, Aymard C., Gerardo A., Hernández, Lionel, Fernández, Rafael Herrera, Ramírez-Angulo, Hirma, Salcedo, Pedro, Sanoja, Elio, Serrano, Julio, Torres-Lezama, Armando, Le, Tinh Cong, Le, Trai Trong, Tran, Hieu Dang, ForestPlots.net, Blundo, Cecilia, Carilla, Julieta, Grau, Ricardo, Malizia, Agustina, Malizia, Lucio, Osinaga-Acosta, Oriana, Bird, Michael, Bradford, Matt, Catchpole, Damien, Ford, Andrew, Graham, Andrew, Hilbert, David, Kemp, Jeanette, Laurance, Susan, Laurance, William, Ishida, Francoise Yoko, Marshall, Andrew, Waite, Catherine, Woell, Hannsjoerg, Bastin, Jean-Francois, Bauters, Marijn, Beeckman, Hans, Boeckx, Pfascal, Bogaert, Jan, De Canniere, Charles, de Haulleville, Thales, Doucet, Jean-Louis, Hardy, Olivier, Hubau, Wannes, Kearsley, Elizabeth, Verbeeck, Hans, Vleminckx, Jason, Brewer, Steven W., Alarcón, Alfredo, Araujo-Murakami, Alejandro, Arets, Eric, Arroyo, Luzmila, Chavez, Ezequiel, Fredericksen, Todd, Villaroel, René Guillén, Sibauty, Gloria Gutierrez, Killeen, Timothy, Licona, Juan Carlos, Lleigue, John, Mendoza, Casimiro, Murakami, Samaria, Gutierrez, Alexander Parada, Pardo, Guido, Peña-Claros, Marielos, Poorter, Lourens, Toledo, Marisol, Cayo, Jeanneth Villalobos, Viscarra, Laura Jessica, Vos, Vincent, Ahumada, Jorge, Almeida, Everton, Almeida, Jarcilene, de Oliveira, Edmar Almeida, da Cruz, Wesley Alves, de Oliveira, Atila Alves, Carvalho, Fabrício Alvim, Obermuller, Flávio Amorim, Andrade, Ana, Carvalho, Fernanda Antunes, Vieira, Simone Aparecida, Aquino, Ana Carla, Aragão, Luiz, Araújo, Ana Claudia, Assis, Marco Antonio, Gomes, Jose Ataliba Mantelli Aboin, Baccaro, Fabrício, de Camargo, Plínio Barbosa, Barni, Paulo, Barroso, Jorcely, Bernacci, Luis Carlos, Bordin, Kauane, de Medeiros, Marcelo Brilhante, Broggio, Igor, Camargo, José Luís, Cardoso, Domingos, Carniello, Maria Antonia, Rochelle, Andre Luis Casarin, Castilho, Carolina, Castro, Antonio Alberto Jorge Farias, Castro, Wendeson, Ribeiro, Sabina Cerruto, Costa, Flávia, de Oliveira, Rodrigo Costa, Coutinho, Italo, Cunha, John, da Costa, Lola, da Costa Ferreira, Lucia, da Costa Silva, Richarlly, da Graça Zacarias Simbine, Marta, de Andrade Kamimura, Vitor, de Lima, Haroldo Cavalcante, de Oliveira Melo, Lia, de Queiroz, Luciano, de Sousa Lima, José Romualdo, do Espírito Santo, Mário, Domingues, Tomas, dos Santos Prestes, Nayane Cristina, Carneiro, Steffan Eduardo Silva, Elias, Fernando, Eliseu, Gabriel, Emilio, Thaise, Farrapo, Camila Laís, Fernandes, Letícia, Ferreira, Gustavo, Ferreira, Joice, Ferreira, Leandro, Ferreira, Socorro, Simon, Marcelo Fragomeni, Freitas, Maria Aparecida, García, Queila S., Manzatto, Angelo Gilberto, Graça, Paulo, Guilherme, Frederico, Hase, Eduardo, Higuchi, Niro, Iguatemy, Mariana, Barbosa, Reinaldo Imbrozio, Jaramillo, Margarita, Joly, Carlos, Klipel, Joice, do Amaral, Iêda Leão, Levis, Carolina, Lima, Antonio S., Dan, Maurício Lima, Lopes, Aline, Madeiros, Herison, Magnusson, William E., dos Santos, Rubens Manoel, Marimon, Beatriz, Junior, Ben Hur Marimon, Grillo, Roberta Marotti Martelletti, Martinelli, Luiz, Reis, Simone Matias, Medeiros, Salomão, Meira-Junior, Milton, Metzker, Thiago, Morandi, Paulo, do Nascimento, Natanael Moreira, Moura, Magna, Müller, Sandra Cristina, Nagy, Laszlo, Nascimento, Henrique, Nascimento, Marcelo, Lima, Adriano Nogueira, de Araújo, Raimunda Oliveira, Silva, Jhonathan Oliveira, Pansonato, Marcelo, Sabino, Gabriel Pavan, de Abreu, Karla Maria Pedra, Rodrigues, Pablo José Francisco Pena, Piedade, Maria, Rodrigues, Domingos, Rodrigues Pinto, José Roberto, Quesada, Carlos, Ramos, Eliana, Ramos, Rafael, Rodrigues, Priscyla, de Sousa, Thaiane Rodrigues, Salomão, Rafael, Santana, Flávia, Scaranello, Marcos, Bergamin, Rodrigo Scarton, Schietti, Juliana, Schöngart, Jochen, Schwartz, Gustavo, Silva, Natalino, Silveira, Marcos, Seixas, Cristiana Simão, Simbine, Marta, Souza, Ana Claudia, Souza, Priscila, Souza, Rodolfo, Sposito, Tereza, Junior, Edson Stefani, do Vale, Julio Daniel, Vieira, Ima Célia Guimarães, Villela, Dora, Vital, Marcos, Xaud, Haron, Zanini, Katia, Zartman, Charles Eugene, Ideris, Nur Khalish Hafizhah, Metali, Faizah binti Hj, Salim, Kamariah Abu, Saparudin, Muhd Shahruney, Serudin, Rafizah Mat, Sukri, Rahayu Sukmaria, Begne, Serge, Chuyong, George, Djuikouo, Marie Noel, Gonmadje, Christelle, Simo-Droissart, Murielle, Sonké, Bonaventure, Taedoumg, Hermann, Zemagho, Lise, Thomas, Sean, Baya, Fidèle, Saiz, Gustavo, Espejo, Javier Silva, Chen, Dexiang, Hamilton, Alan, Li, Yide, Luo, Tushou, Niu, Shukui, Xu, Han, Zhou, Zhang, Álvarez-Dávila, Esteban, Escobar, Juan Carlos Andrés, Arellano-Peña, Henry, Duarte, Jaime Cabezas, Calderón, Jhon, Bravo, Lina Maria Corrales, Cuadrado, Borish, Cuadros, Hermes, Duque, Alvaro, Duque, Luisa Fernanda, Espinosa, Sandra Milena, Franke-Ante, Rebeca, García, Hernando, Gómez, Alejandro, González-M., Roy, Idárraga-Piedrahíta, Álvaro, Jimenez, Eliana, Jurado, Rubén, Oviedo, Wilmar López, López-Camacho, René, Cruz, Omar Aurelio Melo, Polo, Irina Mendoza, Paky, Edwin, Pérez, Karen, Pijachi, Angel, Pizano, Camila, Prieto, Adriana, Ramos, Laura, Correa, Zorayda Restrepo, Richardson, James, Rodríguez, Elkin, Rodriguez M., Gina M., Rudas, Agustín, Stevenson, Pablo, Chudomelová, Markéta, Dancak, Martin, Hédl, Radim, Lhota, Stanislav, Svatek, Martin, Mukinzi, Jacques, Ewango, Corneille, Hart, Terese, Yakusu, Emmanuel Kasongo, Lisingo, Janvier, Makana, Jean-Remy, Mbayu, Faustin, Toirambe, Benjamin, Mukendi, John Tshibamba, Kvist, Lars, Nebel, Gustav, Báez, Selene, Céron, Carlos, Griffith, Daniel M., Andino, Juan Ernesto Guevara, Neill, David, Palacios, Walter, Peñuela-Mora, Maria Cristina, Rivas-Torres, Gonzalo, Villa, Gorky, Demissie, Sheleme, Gole, Tadesse, Gonfa, Techane, Ruokolainen, Kalle, Baisie, Michel, Bénédet, Fabrice, Betian, Wemo, Bezard, Vincent, Bonal, Damien, Chave, Jerôme, Droissart, Vincent, Gourlet-Fleury, Sylvie, Hladik, Annette, Labrière, Nicolas, Naisso, Pétrus, Réjou-Méchain, Maxime, Sist, Plinio, Blanc, Lilian, Burban, Benoit, Derroire, Géraldine, Dourdain, Aurélie, Stahl, Clement, Bengone, Natacha Nssi, Chezeaux, Eric, Ondo, Fidèle Evouna, Medjibe, Vincent, Mihindou, Vianet, White, Lee, Culmsee, Heike, Rangel, Cristabel Durán, Horna, Viviana, Wittmann, Florian, Adu-Bredu, Stephen, Affum-Baffoe, Kofi, Foli, Ernest, Balinga, Michael, Roopsind, Anand, Singh, James, Thomas, Raquel, Zagt, Roderick, Murthy, Indu K., Kartawinata, Kuswata, Mirmanto, Edi, Priyadi, Hari, Samsoedin, Ismayadi, Sunderland, Terry, Yassir, Ishak, Rovero, Francesco, Vinceti, Barbara, Hérault, Bruno, Aiba, Shin-Ichiro, Kitayama, Kanehiro, Daniels, Armandu, Tuagben, Darlington, Woods, John T., Fitriadi, Muhammad, Karolus, Alexander, Khoon, Kho Lip, Majalap, Noreen, Maycock, Colin, Nilus, Reuben, Tan, Sylvester, Sitoe, Almeida, Coronado G., Indiana, Ojo, Lucas, de Assis, Rafael, Poulsen, Axel Dalberg, Sheil, Douglas, Pezo, Karen Arévalo, Verde, Hans Buttgenbach, Moscoso, Victor Chama, Oroche, Jimmy Cesar Cordova, Valverde, Fernando Cornejo, Medina, Massiel Corrales, Cardozo, Nallaret Davila, de Rutte Corzo, Jano, del Aguila Pasquel, Jhon, Llampazo, Gerardo Flores, Freitas, Luis, Cabrera, Darcy Galiano, Villacorta, Roosevelt García, Cabrera, Karina Garcia, Soria, Diego García, Saboya, Leticia Gatica, Rios, Julio Miguel Grandez, Pizango, Gabriel Hidalgo, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Aedo, Yuri Tomas Huillca, Peña, Jose Luis Marcelo, Mendoza, Abel Monteagudo, Rodriguez, Vanesa Moreano, Vargas, Percy Núñez, Ramos, Sonia Cesarina Palacios, Camacho, Nadir Pallqui, Cruz, Antonio Peña, Arevalo, Freddy Ramirez, Huaymacari, José Reyna, Rodriguez, Carlos Reynel, Paredes, Marcos Antonio Ríos, Bayona, Lily Rodriguez, del Pilar Rojas Gonzales, Rocio, Peña, Maria Elena Rojas, Revilla, Norma Salinas, Shareva, Yahn Carlos Soto, Trujillo, Raul Tupayachi, Gamarra, Luis Valenzuela, Martinez, Rodolfo Vasquez, Arenas, Jim Vega, Amani, Christian, Ifo, Suspense Averti, Bocko, Yannick, Boundja, Patrick, Ekoungoulou, Romeo, Hockemba, Mireille, Nzala, Donatien, Fofanah, Alusine, Taylor, David, Bañares-de Dios, Guillermo, Cayuela, Luis, la Cerda, Íñigo Granzow-de, Macía, Manuel, Stropp, Juliana, Playfair, Maureen, Wortel, Verginia, Gardner, Toby, Muscarella, Robert, Rutishauser, Ervan, Chao, Kuo-Jung, Munishi, Pantaleo, Bánki, Olaf, Bongers, Frans, Boot, Rene, Fredriksson, Gabriella, Reitsma, Jan, ter Steege, Hans, van Andel, Tinde, van de Meer, Peter, van der Hout, Peter, van Nieuwstadt, Mark, van Ulft, Bert, Veenendaal, Elmar, Vernimmen, Ronald, Zuidema, Pieter, Zwerts, Joeri, Akite, Perpetra, Bitariho, Robert, Chapman, Colin, Gerald, Eilu, Leal, Miguel, Mucunguzi, Patrick, Abernethy, Katharine, Alexiades, Miguel, Baker, Timothy R., Banda, Karina, Banin, Lindsay, Barlow, Jos, Bennett, Amy, Berenguer, Erika, Berry, Nicholas, Bird, Neil M., Blackburn, George A., Brearley, Francis, Brienen, Roel, Burslem, David, Carvalho, Lidiany, Cho, Percival, Coelho, Fernanda, Collins, Murray, Coomes, David, Cuni-Sanchez, Aida, Dargie, Greta, Dexter, Kyle, Disney, Mat, Draper, Freddie, Duan, Muying, Esquivel-Muelbert, Adriane, Ewers, Robert, Fadrique, Belen, Fauset, Sophie, Feldpausch, Ted R., França, Filipe, Galbraith, David, Gilpin, Martin, Gloor, Emanuel, Grace, John, Hamer, Keith, Harris, David, Jeffery, Kath, Jucker, Tommaso, Kalamandeen, Michelle, Klitgaard, Bente, Levesley, Aurora, Lewis, Simon L., Lindsell, Jeremy, Lopez-Gonzalez, Gabriela, Lovett, Jon, Malhi, Yadvinder, Marthews, Toby, McIntosh, Emma, Melgaço, Karina, Milliken, William, Mitchard, Edward, Moonlight, Peter, Moore, Sam, Morel, Alexandra, Peacock, Julie, Peh, Kelvin S.-H., Pendry, Colin, Pennington, R. Toby, de Oliveira Pereira, Luciana, Peres, Carlos, Phillips, Oliver L., Pickavance, Georgia, Pugh, Thomas, Qie, Lan, Riutta, Terhi, Roucoux, Katherine, Ryan, Casey, Sarkinen, Tiina, Valeria, Camila Silva, Spracklen, Dominick, Stas, Suzanne, Sullivan, Martin, Swaine, Michael, Talbot, Joey, Taplin, James, van der Heijden, Geertje, Vedovato, Laura, Willcock, Simon, Williams, Mathew, Alves, Luciana, Loayza, Patricia Alvarez, Arellano, Gabriel, Asa, Cheryl, Ashton, Peter, Asner, Gregory, Brncic, Terry, Brown, Foster, Burnham, Robyn, Clark, Connie, Comiskey, James, Damasco, Gabriel, Davies, Stuart, Di Fiore, Tony, Erwin, Terry, Farfan-Rios, William, Hall, Jefferson, Kenfack, David, Lovejoy, Thomas, Martin, Roberta, Montiel, Olga Martha, Pipoly, John, Pitman, Nigel, Poulsen, John, Primack, Richard, Silman, Miles, Steininger, Marc, Swamy, Varun, Terborgh, John, Thomas, Duncan, Umunay, Peter, Uriarte, Maria, Torre, Emilio Vilanova, Wang, Ophelia, Young, Kenneth, Aymard C., Gerardo A., Hernández, Lionel, Fernández, Rafael Herrera, Ramírez-Angulo, Hirma, Salcedo, Pedro, Sanoja, Elio, Serrano, Julio, Torres-Lezama, Armando, Le, Tinh Cong, Le, Trai Trong, and Tran, Hieu Dang
Abstract: Tropical forests are the most diverse and productive ecosystems on Earth. While better understanding of these forests is critical for our collective future, until quite recently efforts to measure and monitor them have been largely disconnected. Networking is essential to discover the answers to questions that transcend borders and the horizons of funding agencies. Here we show how a global community is responding to the challenges of tropical ecosystem research with diverse teams measuring forests tree-by-tree in thousands of long-term plots. We review the major scientific discoveries of this work and show how this process is changing tropical forest science. Our core approach involves linking long-term grassroots initiatives with standardized protocols and data management to generate robust scaled-up results. By connecting tropical researchers and elevating their status, our Social Research Network model recognises the key role of the data originator in scientific discovery. Conceived in 1999 with RAINFOR (South America), our permanent plot networks have been adapted to Africa (AfriTRON) and Southeast Asia (T-FORCES) and widely emulated worldwide. Now these multiple initiatives are integrated via ForestPlots.net cyber-infrastructure, linking colleagues from 54 countries across 24 plot networks. Collectively these are transforming understanding of tropical forests and their biospheric role. Together we have discovered how, where and why forest carbon and biodiversity are responding to climate change, and how they feedback on it. This long-term pan-tropical collaboration has revealed a large long-term carbon sink and its trends, as well as making clear which drivers are most important, which forest processes are affected, where they are changing, what the lags are, and the likely future responses of tropical forests as the climate continues to change. By leveraging a remarkably old technology, plot networks are sparking a very modern revolution in tropical forest sc

49. Long-term thermal sensitivity of Earth’s tropical forests

Author: Sullivan, Martin J. P., Lewis, Simon L., Affum-Baffoe, Kofi, Castilho, Carolina, Costa, Flávia, Sanchez, Aida Cuni, Ewango, Corneille E. N., Hubau, Wannes, Marimon, Beatriz, Monteagudo-Mendoza, Abel, Qie, Lan, Sonké, Bonaventure, Martinez, Rodolfo Vasquez, Baker, Timothy R., Brienen, Roel J. W., Feldpausch, Ted R., Galbraith, David, Gloor, Manuel, Malhi, Yadvinder, Aiba, Shin-Ichiro, Alexiades, Miguel N., Almeida, Everton C., de Oliveira, Edmar Almeida, Dávila, Esteban Álvarez, Loayza, Patricia Alvarez, Andrade, Ana, Vieira, Simone Aparecida, Aragão, Luiz E. O. C., Araujo-Murakami, Alejandro, Arets, Eric J. M. M., Arroyo, Luzmila, Ashton, Peter, Aymard C., Gerardo, Baccaro, Fabrício B., Banin, Lindsay F., Baraloto, Christopher, Camargo, Plínio Barbosa, Barlow, Jos, Barroso, Jorcely, Bastin, Jean-François, Batterman, Sarah A., Beeckman, Hans, Begne, Serge K., Bennett, Amy C., Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Boeckx, Pascal, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brearley, Francis Q., Brncic, Terry, Brown, Foster, Burban, Benoit, Camargo, José Luís, Castro, Wendeson, Céron, Carlos, Ribeiro, Sabina Cerruto, Moscoso, Victor Chama, Chave, Jerôme, Chezeaux, Eric, Clark, Connie J., de Souza, Fernanda Coelho, Collins, Murray, Comiskey, James A., Valverde, Fernando Cornejo, Medina, Massiel Corrales, da Costa, Lola, Dančák, Martin, Dargie, Greta C., Davies, Stuart, Cardozo, Nallaret Davila, de Haulleville, Thales, de Medeiros, Marcelo Brilhante, del Aguila Pasquel, Jhon, Derroire, Géraldine, Di Fiore, Anthony, Doucet, Jean-Louis, Dourdain, Aurélie, Droissant, Vincent, Duque, Luisa Fernanda, Ekoungoulou, Romeo, Elias, Fernando, Erwin, Terry, Esquivel-Muelbert, Adriane, Fauset, Sophie, Ferreira, Joice, Llampazo, Gerardo Flores, Foli, Ernest, Ford, Andrew, Gilpin, Martin, Hall, Jefferson S., Hamer, Keith C., Hamilton, Alan C., Harris, David J., Hart, Terese B., Hédl, Radim, Herault, Bruno, Herrera, Rafael, Higuchi, Niro, Hladik, Annette, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Jeffery, Kathryn J., Jimenez-Rojas, Eliana, Kalamandeen, Michelle, Djuikouo, Marie Noël Kamdem, Kearsley, Elizabeth, Umetsu, Ricardo Keichi, Kho, Lip Khoon, Killeen, Timothy, Kitayama, Kanehiro, Klitgaard, Bente, Koch, Alexander, Labrière, Nicolas, Laurance, William, Laurance, Susan, Leal, Miguel E., Levesley, Aurora, Lima, Adriano J. N., Lisingo, Janvier, Lopes, Aline P., Lopez-Gonzalez, Gabriela, Lovejoy, Tom, Lovett, Jon C., Lowe, Richard, Magnusson, William E., Malumbres-Olarte, Jagoba, Manzatto, Ângelo Gilberto, Marimon, Ben Hur, Marshall, Andrew R., Marthews, Toby, de Almeida Reis, Simone Matias, Maycock, Colin, Melgaço, Karina, Mendoza, Casimiro, Metali, Faizah, Mihindou, Vianet, Milliken, William, Mitchard, Edward T. A., Morandi, Paulo S., Mossman, Hannah L., Nagy, Laszlo, Nascimento, Henrique, Neill, David, Nilus, Reuben, Vargas, Percy Núñez, Palacios, Walter, Camacho, Nadir Pallqui, Peacock, Julie, Pendry, Colin, Peñuela Mora, Maria Cristina, Pickavance, Georgia C., Pipoly, John, Pitman, Nigel, Playfair, Maureen, Poorter, Lourens, Poulsen, John R., Poulsen, Axel Dalberg, Preziosi, Richard, Prieto, Adriana, Primack, Richard B., Ramírez-Angulo, Hirma, Reitsma, Jan, Réjou-Méchain, Maxime, Correa, Zorayda Restrepo, de Sousa, Thaiane Rodrigues, Bayona, Lily Rodriguez, Roopsind, Anand, Rudas, Agustín, Rutishauser, Ervan, Abu Salim, Kamariah, Salomão, Rafael P., Schietti, Juliana, Sheil, Douglas, Silva, Richarlly C., Espejo, Javier Silva, Valeria, Camila Silva, Silveira, Marcos, Simo-Droissart, Murielle, Simon, Marcelo Fragomeni, Singh, James, Soto Shareva, Yahn Carlos, Stahl, Clement, Stropp, Juliana, Sukri, Rahayu, Sunderland, Terry, Svátek, Martin, Swaine, Michael D., Swamy, Varun, Taedoumg, Hermann, Talbot, Joey, Taplin, James, Taylor, David, ter Steege, Hans, Terborgh, John, Thomas, Raquel, Thomas, Sean C., Torres-Lezama, Armando, Umunay, Peter, Gamarra, Luis Valenzuela, van der Heijden, Geertje, van der Hout, Peter, van der Meer, Peter, van Nieuwstadt, Mark, Verbeeck, Hans, Vernimmen, Ronald, Vicentini, Alberto, Vieira, Ima Célia Guimarães, Torre, Emilio Vilanova, Vleminckx, Jason, Vos, Vincent, Wang, Ophelia, White, Lee J. T., Willcock, Simon, Woods, John T., Wortel, Verginia, Young, Kenneth, Zagt, Roderick, Zemagho, Lise, Zuidema, Pieter A., Zwerts, Joeri A., Phillips, Oliver L., Sullivan, Martin J. P., Lewis, Simon L., Affum-Baffoe, Kofi, Castilho, Carolina, Costa, Flávia, Sanchez, Aida Cuni, Ewango, Corneille E. N., Hubau, Wannes, Marimon, Beatriz, Monteagudo-Mendoza, Abel, Qie, Lan, Sonké, Bonaventure, Martinez, Rodolfo Vasquez, Baker, Timothy R., Brienen, Roel J. W., Feldpausch, Ted R., Galbraith, David, Gloor, Manuel, Malhi, Yadvinder, Aiba, Shin-Ichiro, Alexiades, Miguel N., Almeida, Everton C., de Oliveira, Edmar Almeida, Dávila, Esteban Álvarez, Loayza, Patricia Alvarez, Andrade, Ana, Vieira, Simone Aparecida, Aragão, Luiz E. O. C., Araujo-Murakami, Alejandro, Arets, Eric J. M. M., Arroyo, Luzmila, Ashton, Peter, Aymard C., Gerardo, Baccaro, Fabrício B., Banin, Lindsay F., Baraloto, Christopher, Camargo, Plínio Barbosa, Barlow, Jos, Barroso, Jorcely, Bastin, Jean-François, Batterman, Sarah A., Beeckman, Hans, Begne, Serge K., Bennett, Amy C., Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Boeckx, Pascal, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brearley, Francis Q., Brncic, Terry, Brown, Foster, Burban, Benoit, Camargo, José Luís, Castro, Wendeson, Céron, Carlos, Ribeiro, Sabina Cerruto, Moscoso, Victor Chama, Chave, Jerôme, Chezeaux, Eric, Clark, Connie J., de Souza, Fernanda Coelho, Collins, Murray, Comiskey, James A., Valverde, Fernando Cornejo, Medina, Massiel Corrales, da Costa, Lola, Dančák, Martin, Dargie, Greta C., Davies, Stuart, Cardozo, Nallaret Davila, de Haulleville, Thales, de Medeiros, Marcelo Brilhante, del Aguila Pasquel, Jhon, Derroire, Géraldine, Di Fiore, Anthony, Doucet, Jean-Louis, Dourdain, Aurélie, Droissant, Vincent, Duque, Luisa Fernanda, Ekoungoulou, Romeo, Elias, Fernando, Erwin, Terry, Esquivel-Muelbert, Adriane, Fauset, Sophie, Ferreira, Joice, Llampazo, Gerardo Flores, Foli, Ernest, Ford, Andrew, Gilpin, Martin, Hall, Jefferson S., Hamer, Keith C., Hamilton, Alan C., Harris, David J., Hart, Terese B., Hédl, Radim, Herault, Bruno, Herrera, Rafael, Higuchi, Niro, Hladik, Annette, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Jeffery, Kathryn J., Jimenez-Rojas, Eliana, Kalamandeen, Michelle, Djuikouo, Marie Noël Kamdem, Kearsley, Elizabeth, Umetsu, Ricardo Keichi, Kho, Lip Khoon, Killeen, Timothy, Kitayama, Kanehiro, Klitgaard, Bente, Koch, Alexander, Labrière, Nicolas, Laurance, William, Laurance, Susan, Leal, Miguel E., Levesley, Aurora, Lima, Adriano J. N., Lisingo, Janvier, Lopes, Aline P., Lopez-Gonzalez, Gabriela, Lovejoy, Tom, Lovett, Jon C., Lowe, Richard, Magnusson, William E., Malumbres-Olarte, Jagoba, Manzatto, Ângelo Gilberto, Marimon, Ben Hur, Marshall, Andrew R., Marthews, Toby, de Almeida Reis, Simone Matias, Maycock, Colin, Melgaço, Karina, Mendoza, Casimiro, Metali, Faizah, Mihindou, Vianet, Milliken, William, Mitchard, Edward T. A., Morandi, Paulo S., Mossman, Hannah L., Nagy, Laszlo, Nascimento, Henrique, Neill, David, Nilus, Reuben, Vargas, Percy Núñez, Palacios, Walter, Camacho, Nadir Pallqui, Peacock, Julie, Pendry, Colin, Peñuela Mora, Maria Cristina, Pickavance, Georgia C., Pipoly, John, Pitman, Nigel, Playfair, Maureen, Poorter, Lourens, Poulsen, John R., Poulsen, Axel Dalberg, Preziosi, Richard, Prieto, Adriana, Primack, Richard B., Ramírez-Angulo, Hirma, Reitsma, Jan, Réjou-Méchain, Maxime, Correa, Zorayda Restrepo, de Sousa, Thaiane Rodrigues, Bayona, Lily Rodriguez, Roopsind, Anand, Rudas, Agustín, Rutishauser, Ervan, Abu Salim, Kamariah, Salomão, Rafael P., Schietti, Juliana, Sheil, Douglas, Silva, Richarlly C., Espejo, Javier Silva, Valeria, Camila Silva, Silveira, Marcos, Simo-Droissart, Murielle, Simon, Marcelo Fragomeni, Singh, James, Soto Shareva, Yahn Carlos, Stahl, Clement, Stropp, Juliana, Sukri, Rahayu, Sunderland, Terry, Svátek, Martin, Swaine, Michael D., Swamy, Varun, Taedoumg, Hermann, Talbot, Joey, Taplin, James, Taylor, David, ter Steege, Hans, Terborgh, John, Thomas, Raquel, Thomas, Sean C., Torres-Lezama, Armando, Umunay, Peter, Gamarra, Luis Valenzuela, van der Heijden, Geertje, van der Hout, Peter, van der Meer, Peter, van Nieuwstadt, Mark, Verbeeck, Hans, Vernimmen, Ronald, Vicentini, Alberto, Vieira, Ima Célia Guimarães, Torre, Emilio Vilanova, Vleminckx, Jason, Vos, Vincent, Wang, Ophelia, White, Lee J. T., Willcock, Simon, Woods, John T., Wortel, Verginia, Young, Kenneth, Zagt, Roderick, Zemagho, Lise, Zuidema, Pieter A., Zwerts, Joeri A., and Phillips, Oliver L.
Abstract: The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (−9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per °C in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth’s climate.
Full Text: View/download PDF

50. Asynchronous Carbon Sink Saturation in African and Amazonian Tropical Forests

Author: Hubau, Wannes, Lewis, Simon, Phillips, Oliver, Affum-Baffoe, Kofi, Beeckman, Hans, Cuní-Sanchez, Aida, Daniels, Armandu, Ewango, Corneille, Fauset, Sophie, Mukinzi, Jacques, Sheil, Douglas, Sonké, Bonaventure, Sullivan, Martin, Sunderland, Terry, Taedoumg, Hermann, Thomas, Sean, White, Lee, Abernethy, Katharine, Adu-Bredu, Stephen, Amani, Christian, Baker, Timothy, Banin, Lindsay, Baya, Fidèle, Begne, Serge, Bennett, Amy, Benedet, Fabrice, Bitariho, Robert, Bocko, Yannick, Boeckx, Pascal, Boundja, Patrick, Brienen, Roel, Brncic, Terry, Chezeaux, Eric, Chuyong, George, Clark, Connie, Collins, Murray, Comiskey, James, Coomes, David, Dargie, Greta, Haulleville, Thales, Djuikouo, Marie, Doucet, Jean-Louis, Esquivel-Muelbert, Adriane, Feldpausch, Ted, Fofanah, Alusine, Foli, Ernest, Gilpin, Martin, Gloor, Emanuel, Gonmadje, Christelle, Gourlet-Fleury, Sylvie, Hall, Jefferson, Hamilton, Alan, Harris, David, Hart, Terese, Hockemba, Mireille, Hladik, Annette, Ifo, Suspense, Jeffery, Kathryn, Jucker, Tommaso, Yakusu, Emmanuel, Kearsley, Elizabeth, Kenfack, David, Koch, Alexander, Leal, Miguel, Levesley, Aurora, Lindsell, Jeremy, Lisingo, Janvier, Lopez-Gonzalez, Gabriela, Lovett, Jon, Makana, Jean-Remy, Malhi, Yadvinder, Marshall, Andrew, Martin, Jim, Martin, Emanuel, Mbayu, Faustin, Medjibe, Vincent, Mihindou, Vianet, Mitchard, Edward, Moore, Sam, Munishi, Pantaleo, Bengone, Natacha, Ojo, Lucas, Ondo, Fidèle, Peh, Kelvin, Pickavance, Georgia, Poulsen, Axel, Poulsen, John, Qie, Lan, Reitsma, Jan, Rovero, Francesco, Swaine, Michael, Talbot, Joey, Taplin, James, Taylor, David, Thomas, Duncan, Toirambe, Benjamin, Mukendi, John, Tuagben, Darlington, Umunay, Peter, Van Der Heijden, Geertje, Verbeeck, Hans, Vleminckx, Jason, Willcock, Simon, Woell, Hannsjoerg, Woods, John, Zemagho, Lise, Hubau, Wannes, Lewis, Simon, Phillips, Oliver, Affum-Baffoe, Kofi, Beeckman, Hans, Cuní-Sanchez, Aida, Daniels, Armandu, Ewango, Corneille, Fauset, Sophie, Mukinzi, Jacques, Sheil, Douglas, Sonké, Bonaventure, Sullivan, Martin, Sunderland, Terry, Taedoumg, Hermann, Thomas, Sean, White, Lee, Abernethy, Katharine, Adu-Bredu, Stephen, Amani, Christian, Baker, Timothy, Banin, Lindsay, Baya, Fidèle, Begne, Serge, Bennett, Amy, Benedet, Fabrice, Bitariho, Robert, Bocko, Yannick, Boeckx, Pascal, Boundja, Patrick, Brienen, Roel, Brncic, Terry, Chezeaux, Eric, Chuyong, George, Clark, Connie, Collins, Murray, Comiskey, James, Coomes, David, Dargie, Greta, Haulleville, Thales, Djuikouo, Marie, Doucet, Jean-Louis, Esquivel-Muelbert, Adriane, Feldpausch, Ted, Fofanah, Alusine, Foli, Ernest, Gilpin, Martin, Gloor, Emanuel, Gonmadje, Christelle, Gourlet-Fleury, Sylvie, Hall, Jefferson, Hamilton, Alan, Harris, David, Hart, Terese, Hockemba, Mireille, Hladik, Annette, Ifo, Suspense, Jeffery, Kathryn, Jucker, Tommaso, Yakusu, Emmanuel, Kearsley, Elizabeth, Kenfack, David, Koch, Alexander, Leal, Miguel, Levesley, Aurora, Lindsell, Jeremy, Lisingo, Janvier, Lopez-Gonzalez, Gabriela, Lovett, Jon, Makana, Jean-Remy, Malhi, Yadvinder, Marshall, Andrew, Martin, Jim, Martin, Emanuel, Mbayu, Faustin, Medjibe, Vincent, Mihindou, Vianet, Mitchard, Edward, Moore, Sam, Munishi, Pantaleo, Bengone, Natacha, Ojo, Lucas, Ondo, Fidèle, Peh, Kelvin, Pickavance, Georgia, Poulsen, Axel, Poulsen, John, Qie, Lan, Reitsma, Jan, Rovero, Francesco, Swaine, Michael, Talbot, Joey, Taplin, James, Taylor, David, Thomas, Duncan, Toirambe, Benjamin, Mukendi, John, Tuagben, Darlington, Umunay, Peter, Van Der Heijden, Geertje, Verbeeck, Hans, Vleminckx, Jason, Willcock, Simon, Woell, Hannsjoerg, Woods, John, and Zemagho, Lise
Abstract: Structurally intact tropical forests sequestered ~50% of global terrestrial carbon uptake over the 1990s and early 2000s, removing ~15% of anthropogenic CO2 emissions1-3. Climate-driven vegetation models typically predict that this tropical forest ‘carbon sink’ will continue for decades4,5. Here, we assess trends in the carbon sink using 244 structurally intact African tropical forests spanning 11 countries, we compare them with 321 published plots from Amazonia and investigate the underlying drivers of the trends. The carbon sink in live aboveground biomass in intact African tropical forests has been stable for the three decades to 2015, at 0.66 Mg C ha-1 yr-1 (95% CI:0.53-0.79), in contrast to the long-term decline in Amazonian forests6. Thus, the carbon sink responses of Earth’s two largest expanses of tropical forest have diverged. The difference is largely driven by carbon losses from tree mortality, with no detectable multi-decadal trend in Africa and a long-term increase in Amazonia. Both continents show increasing tree growth, consistent with the expected net effect of rising atmospheric CO2 and air temperature7-9. Despite the past stability of the African carbon sink, our data suggest a post-2010 increase in carbon losses, delayed compared to Amazonia, indicating asynchronous carbon sink saturation on the two continents. A statistical model including CO2, temperature, drought and forest dynamics accounts for the observed trends and indicates a long-term future decline in the African sink, while the Amazonian sink continues to rapidly weaken. Overall, the uptake of carbon into Earth’s intact tropical forests peaked in the 1990s. Given that the global terrestrial carbon sink is increasing in size, observations indicating greater recent carbon uptake into the Northern hemisphere landmass10 reinforce our conclusion that the intact tropical forest carbon sink has already saturated. This tropical forest sink saturation and ongoing decline has consequences for pol

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Database

Publisher

110 results on '"Willcock, Simon"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources