187 results on '"Bellingham, Peter J."'
Search Results
152. Island Biology and Ecosystem Functioning in Epiphytic Soil Communities
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Wardle, David A., primary, Yeates, Gregor W., additional, Barker, Gary M., additional, Bellingham, Peter J., additional, Bonner, Karen I., additional, and Williamson, Wendy M., additional
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- 2003
- Full Text
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153. Can seed banking assist in conserving the highly endemic New Zealand indigenous flora?
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Wyse, Sarah V., Carlin, Thomas F., Etherington, Thomas R., Faruk, Aisyah, Dickie, John B., and Bellingham, Peter J.
- Abstract
Context Globally, plant species are facing numerous threats; an issue particularly acute for island floras, which often exhibit high levels of endemism. Ex situ conservation in seed banks is an important tool for plant conservation. However not all species’ seeds can be stored in conventional seed banks. Data on seed storage behaviour are therefore vital for conservation decision making. Aims To review available seed storage information for the New Zealand (NZ) indigenous seed plant flora, 86% of which are endemic. Methods We compiled seed storage information for the NZ flora from databases and existing literature, and used boosted regression trees models to investigate predictors of seed storage behaviour for NZ woody plants. We used existing global models to predict the likely storage behaviour for the NZ woody flora where this was unknown, to examine the overall contribution that conventional seed banking could make towards NZ plant conservation. Key results Data were available for 412 of 1823 seed plants, of which 83% produced orthodox seeds that can be stored in a conventional seed bank. Of the woody flora, the incidence of non-orthodox seeds was positively correlated with seed mass, plant height, biotic dispersal, and habitat diurnal temperature range. Eighty-one percent of the woody flora are predicted to produce orthodox seeds. Conclusions and implications Conventional seed banking is likely to be suitable for a high proportion of the NZ flora. However, work is required to gain further seed storage behaviour data for NZ species, and to develop protocols for alternative ex situ conservation strategies for non-orthodox species, especially those facing in situ conservation threats.
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- 2023
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154. Resprouting as a life history strategy in woody plant communities
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Bellingham, Peter J., primary and Sparrow, Ashley D., additional
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- 2000
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155. IMMEDIATE DAMAGE BY AN EARTHQUAKE TO A TEMPERATE MONTANE FOREST
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Allen, Robert B., primary, Bellingham, Peter J., additional, and Wiser, Susan K., additional
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- 1999
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156. A Functional Assessment of Community Vulnerability to the Loss of Myrtaceae From Myrtle Rust.
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McCarthy, James K., Richardson, Sarah J., Jo, Insu, Wiser, Susan K., Easdale, Tomás A., Shepherd, James D., and Bellingham, Peter J.
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LEPTOSPERMUM scoparium , *BIOLOGICAL extinction , *TREE diseases & pests , *WOODY plants , *PLANT communities , *FOREST succession - Abstract
Aim: Woody ecosystems provide critical ecosystem functions and services but are increasingly threatened as invasive pathogens spread globally. Myrtle rust, caused by Austropuccinia psidii, arrived in New Zealand in 2017 and infects at least 12 of 18 species in the susceptible Myrtaceae plant family. Among these are species of structural, successional and cultural importance. We aim to assess whether the functional consequences of Myrtaceae loss could be mitigated if co‐occurring species with shared functional attributes are able to replace them. Location: New Zealand (but with concepts and methodologies that apply globally). Methods: Using a nationwide forest and shrubland plot data set, we assessed community vulnerability to the loss of Myrtaceae species by analysing proportional changes in average trait values when they are absent and produced spatial predictions indicating where species loss might have the greatest impact on community functionality. We then assessed whether compensatory infilling by co‐occurring species would mediate community vulnerability. Results: Forests and shrublands containing Kunzea ericoides and Leptospermum scoparium are highly vulnerable to their loss. Areas most vulnerable overall are the central and south‐eastern North Island, north‐eastern South Island and Stewart Island. For all species, compensatory infilling moderated the impact of their loss. However, if co‐occurring Myrtaceae were unable to respond, possibly if they were also infected, community vulnerability almost always increased because infilling species had different functional attributes, compounding the functional impact. Main Conclusions: Early successional woody plant communities and Myrtaceae‐dominated old‐growth forests are at most risk. Our spatial assessment of species‐level functional impacts from myrtle rust will facilitate better‐informed landscape‐level responses. Management actions and monitoring can now be targeted to areas and communities at greatest risk of losing ecosystem‐level processes. [ABSTRACT FROM AUTHOR]
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- 2024
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157. A Review on the State of the Art in Frugivory and Seed Dispersal on Islands and the Implications of Global Change.
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Nogales, Manuel, McConkey, Kim R., Carlo, Tomás A., Wotton, Debra M., Bellingham, Peter J., Traveset, Anna, González-Castro, Aarón, Heleno, Ruben, Watanabe, Kenta, Ando, Haruko, Rogers, Haldre, Heinen, Julia H., and Drake, Donald R.
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SEED dispersal , *ISLANDS , *ENDEMIC plants , *ENDEMIC animals , *PLANT dispersal , *COMMUNITY organization - Abstract
We provide an overview of the current state of knowledge of island frugivory and seed dispersal and identify knowledge gaps that are important for fundamental research on—and applied conservation of—island ecosystems. We conducted a systematic literature search of frugivory and seed dispersal on islands, omitting large, continental islands. This revealed a total of 448 studies, most (75%) published during the last two decades, especially after 2010. Nearly 65% of them were focused on eight archipelagos. There is a paucity of studies in Pacific archipelagos near Asia and Australia, and in the Indian Ocean. Data on island frugivory and seed dispersal are diverse but highly uneven in geographic and conceptual coverage. Despite their limited biodiversity, islands are essential reservoirs of endemic plants and animals and their interactions. Due to the simplicity of insular ecosystems, we can assess the importance of seed dispersal theory and mechanisms at species and community levels. These include the ecological and biogeographical meaning and prevalence of non-standard mechanisms of seed dispersal on islands; the seed dispersal effectiveness and the relative roles of different frugivore guilds (birds and reptiles being the most important); and patterns of community organization and their drivers as revealed by interaction networks. Island systems are characterized by the extinction of many natives and endemics, and high rates of species introductions. Therefore, understanding how these losses and additions alter seed dispersal processes has been a prevailing goal of island studies and an essential foundation for the effective restoration and conservation of islands. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
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158. Leaf damage by herbivores and pathogens on New Zealand islands that differ in seabird densities
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Mulder, Christa P. H., David Wardle, Durrett, Melody S., and Bellingham, Peter J.
159. Phylogenetic classification of the world’s tropical forests
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Slik, J. W. Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F., K, Anitha, Avella, Andres, Mora, Francisco, Aymard C., Gerardo A., Báez, Selene, Balvanera, Patricia, Bastian, Meredith L., Bastin, Jean-François, Bellingham, Peter J., Van Den Berg, Eduardo, Da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q., Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L., Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M., Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, H. S., Davidar, Priya, DeWalt, Saara J., Din, Hazimah, Drake, Donald R., Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J., Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W., Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-De La Cerda, Iñigo, Griffith, Daniel M., Grogan, James, Hakeem, Khalid Rehman, Harris, David J., Harrison, Rhett D., Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M. Shah, Ibarra-Manríquez, Guillermo, Hanum, I. Faridah, Imai, Nobuo, Jansen, Patrick A., Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L., Kessler, Michael, Killeen, Timothy J., Kooyman, Robert M., Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Letcher, Susan G., Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R., Martin, Emanuel H., Calderado Leal Matos, Darley, Meave, Jorge A., Melo, Felipe P. L., Aguirre Mendoza, Zhofre Huberto, Metali, Faizah, Medjibe, Vincent P., Metzger, Jean Paul, Metzker, Thiago, Mohandass, D., Munguía-Rosas, Miguel A., Muñoz, Rodrigo, Nurtjahy, Eddy, De Oliveira, Eddie Lenza, Onrizal, ?, Parolin, Pia, Parren, Marc, Parthasarathy, N., Paudel, Ekananda, Perez, Rolando, Pérez-García, Eduardo A., Pommer, Ulf, Poorter, Lourens, Qi, Lan, Piedade, Maria Teresa F., Pinto, José Roberto Rodrigues, Poulsen, Axel Dalberg, Poulsen, John R., Powers, Jennifer S., Prasad, Rama Chandra, Puyravaud, Jean-Philippe, Rangel, Orlando, Reitsma, Jan, Rocha, Diogo S. B., Rolim, Samir, Rovero, Francesco, Rozak, Andes, Ruokolainen, Kalle, Rutishauser, Ervan, Rutten, Gemma, Mohd. Said, Mohd. Nizam, Saiter, Felipe Z., Saner, Philippe, Santos, Braulio, Dos Santos, João Roberto, Sarker, Swapan Kumar, Schmitt, Christine B., Schoengart, Jochen, Schulze, Mark, Sheil, Douglas, Sist, Plinio, Souza, Alexandre F., Spironello, Wilson Roberto, Sposito, Tereza, Steinmetz, Robert, Stevart, Tariq, Suganuma, Marcio Seiji, Sukri, Rahayu, Sultana, Aisha, Sukumar, Raman, Sunderland, Terry, Supriyadi, ?, Suresh, H. S., Suzuki, Eizi, Tabarelli, Marcelo, Tang, Jianwei, Tanner, Ed V. J., Targhetta, Natalia, Theilade, Ida, Thomas, Duncan, Timberlake, Jonathan, De Morisson Valeriano, Márcio, Van Valkenburg, Johan, Van Do, Tran, Van Sam, Hoang, Vandermeer, John H., Verbeeck, Hans, Vetaas, Ole Reidar, Adekunle, Victor, Vieira, Simone A., Webb, Campbell O., Webb, Edward L., Whitfeld, Timothy, Wich, Serge, Williams, John, Wiser, Susan, Wittmann, Florian, Yang, Xiaobo, Adou Yao, C. Yves, Yap, Sandra L., Zahawi, Rakan A., Zakaria, Rahmad, and Zang, Runguo
- Subjects
15. Life on land ,580 Plants (Botany) - Abstract
Identifying and explaining regional differences in tropical forest dynamics, structure, diversity, and composition are critical for anticipating region-specific responses to global environmental change. Floristic classifications are of fundamental importance for these efforts. Here we provide a global tropical forest classification that is explicitly based on community evolutionary similarity, resulting in identification of five major tropical forest regions and their relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. African and American forests are grouped, reflecting their former western Gondwanan connection, while Indo-Pacific forests range from eastern Africa and Madagascar to Australia and the Pacific. The connection between northern-hemisphere Asian and American forests is confirmed, while Dry forests are identified as a single tropical biome.Knowledge about the biogeographic affinities of the world’s tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world’s tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northern-hemisphere forests.
160. Leaf manganese concentrations as a tool to assess belowground plant functioning in phosphorus-impoverished environments
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<p>Australian Research Council Strategic Science Investment Fund, New Zealand FWF Erwin-Schrödinger Fellowship</p>, Lambers, Hans, Wright, Ian J., Guilherme Pereira, Caio, Bellingham, Peter J., Bentley, Lisa Patrick, Boonman, Alex, Cernusak, Lucas A., Foulds, William, Gleason, Sean M., Gray, Emma F., Hayes, Patrick E., Kooyman, Robert M., Malhi, Yadvinder, Richardson, Sarah J., Shane, Michael W., Staudinger, Christiana, Stock, William D., Swarts, Nigel D., Turner, Benjamin L., Turner, John, Veneklaas, Erik J., Wasaki, Jun, Westoby, Mark, Xu, Yanggui, <p>Australian Research Council Strategic Science Investment Fund, New Zealand FWF Erwin-Schrödinger Fellowship</p>, Lambers, Hans, Wright, Ian J., Guilherme Pereira, Caio, Bellingham, Peter J., Bentley, Lisa Patrick, Boonman, Alex, Cernusak, Lucas A., Foulds, William, Gleason, Sean M., Gray, Emma F., Hayes, Patrick E., Kooyman, Robert M., Malhi, Yadvinder, Richardson, Sarah J., Shane, Michael W., Staudinger, Christiana, Stock, William D., Swarts, Nigel D., Turner, Benjamin L., Turner, John, Veneklaas, Erik J., Wasaki, Jun, Westoby, Mark, and Xu, Yanggui
- Abstract
Lambers, H., Wright, I. J., Pereira, C. G., Bellingham, P. J., Bentley, L. P., Boonman, A., ... Xu, Y. (2020). Leaf manganese concentrations as a tool to assess belowground plant functioning in phosphorus-impoverished environments. Plant and Soil, 461(1-2), 43-61. https://doi.org/10.1007/s11104-020-04690-2
161. Phylogenetic classification of the world’s tropical forests
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Slik, J.W. Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F., K, Anitha, Avella, Andres, Mora, Francisco, Aymard C., Gerardo A., Báez, Selene, Balvanera, Patricia, Bastian, Meredith L., Bastin, Jean-François, Bellingham, Peter J., van den Berg, Eduardo, da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q., Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L., Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M., Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, H. S., Davidar, Priya, DeWalt, Saara J., Din, Hazimah, Drake, Donald R., Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J., Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W., Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-de la Cerda, Iñigo, Griffith, Daniel M., Grogan, James, Hakeem, Khalid Rehman, Harris, David J., Harrison, Rhett D., Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M. Shah, Ibarra-Manríquez, Guillermo, Hanum, I. Faridah, Imai, Nobuo, Jansen, Patrick A., Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L., Kessler, Michael, Killeen, Timothy J., Kooyman, Robert M., Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Letcher, Susan G., Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R., Martin, Emanuel H., Calderado Leal Matos, Darley, Meave, Jorge A., Melo, Felipe P.L., Mendoza, Zhofre Huberto Aguirre, Metali, Faizah, Medjibe, Vincent P., Metzger, Jean Paul, Metzker, Thiago, Mohandass, D., Munguía-Rosas, Miguel A., Muñoz, Rodrigo, Nurtjahy, Eddy, de Oliveira, Eddie Lenza, Onrizal, N., Parolin, Pia, Parren, Marc, Parthasarathy, N., Paudel, Ekananda, Perez, Rolando, Pérez-García, Eduardo A., Pommer, Ulf, Poorter, Lourens, Qi, Lan, Piedade, Maria Teresa F., Pinto, José Roberto Rodrigues, Poulsen, Axel Dalberg, Poulsen, John R., Powers, Jennifer S., Prasad, Rama Chandra, Puyravaud, Jean-Philippe, Rangel, Orlando, Reitsma, Jan, Rocha, Diogo S.B., Rolim, Samir, Rovero, Francesco, Rozak, Andes, Ruokolainen, Kalle, Rutishauser, Ervan, Rutten, Gemma, Mohd. Said, Mohd. Nizam, Saiter, Felipe Z., Saner, Philippe, Santos, Braulio, dos Santos, João Roberto, Sarker, Swapan Kumar, Schmitt, Christine B., Schoengart, Jochen, Schulze, Mark, Sheil, Douglas, Sist, Plinio, Souza, Alexandre F., Spironello, Wilson Roberto, Sposito, Tereza, Steinmetz, Robert, Stevart, Tariq, Suganuma, Marcio Seiji, Sukri, Rahayu, Sultana, Aisha, Sukumar, Raman, Sunderland, Terry, Supriyadi, N., Suresh, H.S., Suzuki, Eizi, Tabarelli, Marcelo, Tang, Jianwei, Tanner, Ed V.J., Targhetta, Natalia, Theilade, Ida, Thomas, Duncan, Timberlake, Jonathan, de Morisson Valeriano, Márcio, van Valkenburg, Johan, Van Do, Tran, Van Sam, Hoang, Vandermeer, John H., Verbeeck, Hans, Vetaas, Ole Reidar, Adekunle, Victor, Vieira, Simone A., Webb, Campbell O., Webb, Edward L., Whitfeld, Timothy, Wich, Serge, Williams, John, Wiser, Susan, Wittmann, Florian, Yang, Xiaobo, Adou Yao, C. Yves, Yap, Sandra L., Zahawi, Rakan A., Zakaria, Rahmad, Zang, Runguo, Slik, J.W. Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F., K, Anitha, Avella, Andres, Mora, Francisco, Aymard C., Gerardo A., Báez, Selene, Balvanera, Patricia, Bastian, Meredith L., Bastin, Jean-François, Bellingham, Peter J., van den Berg, Eduardo, da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q., Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L., Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M., Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, H. S., Davidar, Priya, DeWalt, Saara J., Din, Hazimah, Drake, Donald R., Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J., Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W., Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-de la Cerda, Iñigo, Griffith, Daniel M., Grogan, James, Hakeem, Khalid Rehman, Harris, David J., Harrison, Rhett D., Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M. Shah, Ibarra-Manríquez, Guillermo, Hanum, I. Faridah, Imai, Nobuo, Jansen, Patrick A., Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L., Kessler, Michael, Killeen, Timothy J., Kooyman, Robert M., Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Letcher, Susan G., Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R., Martin, Emanuel H., Calderado Leal Matos, Darley, Meave, Jorge A., Melo, Felipe P.L., Mendoza, Zhofre Huberto Aguirre, Metali, Faizah, Medjibe, Vincent P., Metzger, Jean Paul, Metzker, Thiago, Mohandass, D., Munguía-Rosas, Miguel A., Muñoz, Rodrigo, Nurtjahy, Eddy, de Oliveira, Eddie Lenza, Onrizal, N., Parolin, Pia, Parren, Marc, Parthasarathy, N., Paudel, Ekananda, Perez, Rolando, Pérez-García, Eduardo A., Pommer, Ulf, Poorter, Lourens, Qi, Lan, Piedade, Maria Teresa F., Pinto, José Roberto Rodrigues, Poulsen, Axel Dalberg, Poulsen, John R., Powers, Jennifer S., Prasad, Rama Chandra, Puyravaud, Jean-Philippe, Rangel, Orlando, Reitsma, Jan, Rocha, Diogo S.B., Rolim, Samir, Rovero, Francesco, Rozak, Andes, Ruokolainen, Kalle, Rutishauser, Ervan, Rutten, Gemma, Mohd. Said, Mohd. Nizam, Saiter, Felipe Z., Saner, Philippe, Santos, Braulio, dos Santos, João Roberto, Sarker, Swapan Kumar, Schmitt, Christine B., Schoengart, Jochen, Schulze, Mark, Sheil, Douglas, Sist, Plinio, Souza, Alexandre F., Spironello, Wilson Roberto, Sposito, Tereza, Steinmetz, Robert, Stevart, Tariq, Suganuma, Marcio Seiji, Sukri, Rahayu, Sultana, Aisha, Sukumar, Raman, Sunderland, Terry, Supriyadi, N., Suresh, H.S., Suzuki, Eizi, Tabarelli, Marcelo, Tang, Jianwei, Tanner, Ed V.J., Targhetta, Natalia, Theilade, Ida, Thomas, Duncan, Timberlake, Jonathan, de Morisson Valeriano, Márcio, van Valkenburg, Johan, Van Do, Tran, Van Sam, Hoang, Vandermeer, John H., Verbeeck, Hans, Vetaas, Ole Reidar, Adekunle, Victor, Vieira, Simone A., Webb, Campbell O., Webb, Edward L., Whitfeld, Timothy, Wich, Serge, Williams, John, Wiser, Susan, Wittmann, Florian, Yang, Xiaobo, Adou Yao, C. Yves, Yap, Sandra L., Zahawi, Rakan A., Zakaria, Rahmad, and Zang, Runguo
- Abstract
Knowledge about the biogeographic affinities of the world’s tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world’s tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northern hemisphere forests.
162. Phylogenetic classification of the world’s tropical forests
- Author
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Slik, J. W. Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F., K, Anitha, Avella, Andres, Mora, Francisco, Aymard C., Gerardo A., Báez, Selene, Balvanera, Patricia, Bastian, Meredith L., Bastin, Jean-François, Bellingham, Peter J., van den Berg, Eduardo, da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q., Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L., Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M., Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, H. S., Davidar, Priya, DeWalt, Saara J., Din, Hazimah, Drake, Donald R., Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J., Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W., Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-de la Cerda, Iñigo, Griffith, Daniel M., Grogan, James, Hakeem, Khalid Rehman, Harris, David J., Harrison, Rhett D., Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M. Shah, Ibarra-Manríquez, Guillermo, Hanum, I. Faridah, Imai, Nobuo, Jansen, Patrick A., Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L., Kessler, Michael, Killeen, Timothy J., Kooyman, Robert M., Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Letcher, Susan G., Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R., Martin, Emanuel H., Calderado Leal Matos, Darley, Meave, Jorge A., Melo, Felipe P. L., Mendoza, Zhofre Huberto Aguirre, Metali, Faizah, Medjibe, Vincent P., Metzger, Jean Paul, Metzker, Thiago, Mohandass, D., Munguía-Rosas, Miguel A., Muñoz, Rodrigo, Nurtjahy, Eddy, de Oliveira, Eddie Lenza, Onrizal, Parolin, Pia, Parren, Marc, Parthasarathy, N., Paudel, Ekananda, Perez, Rolando, Pérez-García, Eduardo A., Pommer, Ulf, Poorter, Lourens, Qie, Lan, Piedade, Maria Teresa F., Pinto, José Roberto Rodrigues, Poulsen, Axel Dalberg, Poulsen, John R., Powers, Jennifer S., Prasad, Rama Chandra, Puyravaud, Jean-Philippe, Rangel, Orlando, Reitsma, Jan, Rocha, Diogo S. B., Rolim, Samir, Rovero, Francesco, Rozak, Andes, Ruokolainen, Kalle, Rutishauser, Ervan, Rutten, Gemma, Mohd. Said, Mohd. Nizam, Saiter, Felipe Z., Saner, Philippe, Santos, Braulio, dos Santos, João Roberto, Sarker, Swapan Kumar, Schmitt, Christine B., Schoengart, Jochen, Schulze, Mark, Sheil, Douglas, Sist, Plinio, Souza, Alexandre F., Spironello, Wilson Roberto, Sposito, Tereza, Steinmetz, Robert, Stevart, Tariq, Suganuma, Marcio Seiji, Sukri, Rahayu, Sultana, Aisha, Sukumar, Raman, Sunderland, Terry, Supriyadi, Suresh, H. S., Suzuki, Eizi, Tabarelli, Marcelo, Tang, Jianwei, Tanner, Ed V. J., Targhetta, Natalia, Theilade, Ida, Thomas, Duncan, Timberlake, Jonathan, de Morisson Valeriano, Márcio, van Valkenburg, Johan, Van Do, Tran, Van Sam, Hoang, Vandermeer, John H., Verbeeck, Hans, Vetaas, Ole Reidar, Adekunle, Victor, Vieira, Simone A., Webb, Campbell O., Webb, Edward L., Whitfeld, Timothy, Wich, Serge, Williams, John, Wiser, Susan, Wittmann, Florian, Yang, Xiaobo, Adou Yao, C. Yves, Yap, Sandra L., Zahawi, Rakan A., Zakaria, Rahmad, Zang, Runguo, Slik, J. W. Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F., K, Anitha, Avella, Andres, Mora, Francisco, Aymard C., Gerardo A., Báez, Selene, Balvanera, Patricia, Bastian, Meredith L., Bastin, Jean-François, Bellingham, Peter J., van den Berg, Eduardo, da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q., Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L., Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M., Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, H. S., Davidar, Priya, DeWalt, Saara J., Din, Hazimah, Drake, Donald R., Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J., Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W., Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-de la Cerda, Iñigo, Griffith, Daniel M., Grogan, James, Hakeem, Khalid Rehman, Harris, David J., Harrison, Rhett D., Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M. Shah, Ibarra-Manríquez, Guillermo, Hanum, I. Faridah, Imai, Nobuo, Jansen, Patrick A., Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L., Kessler, Michael, Killeen, Timothy J., Kooyman, Robert M., Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Letcher, Susan G., Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R., Martin, Emanuel H., Calderado Leal Matos, Darley, Meave, Jorge A., Melo, Felipe P. L., Mendoza, Zhofre Huberto Aguirre, Metali, Faizah, Medjibe, Vincent P., Metzger, Jean Paul, Metzker, Thiago, Mohandass, D., Munguía-Rosas, Miguel A., Muñoz, Rodrigo, Nurtjahy, Eddy, de Oliveira, Eddie Lenza, Onrizal, Parolin, Pia, Parren, Marc, Parthasarathy, N., Paudel, Ekananda, Perez, Rolando, Pérez-García, Eduardo A., Pommer, Ulf, Poorter, Lourens, Qie, Lan, Piedade, Maria Teresa F., Pinto, José Roberto Rodrigues, Poulsen, Axel Dalberg, Poulsen, John R., Powers, Jennifer S., Prasad, Rama Chandra, Puyravaud, Jean-Philippe, Rangel, Orlando, Reitsma, Jan, Rocha, Diogo S. B., Rolim, Samir, Rovero, Francesco, Rozak, Andes, Ruokolainen, Kalle, Rutishauser, Ervan, Rutten, Gemma, Mohd. Said, Mohd. Nizam, Saiter, Felipe Z., Saner, Philippe, Santos, Braulio, dos Santos, João Roberto, Sarker, Swapan Kumar, Schmitt, Christine B., Schoengart, Jochen, Schulze, Mark, Sheil, Douglas, Sist, Plinio, Souza, Alexandre F., Spironello, Wilson Roberto, Sposito, Tereza, Steinmetz, Robert, Stevart, Tariq, Suganuma, Marcio Seiji, Sukri, Rahayu, Sultana, Aisha, Sukumar, Raman, Sunderland, Terry, Supriyadi, Suresh, H. S., Suzuki, Eizi, Tabarelli, Marcelo, Tang, Jianwei, Tanner, Ed V. J., Targhetta, Natalia, Theilade, Ida, Thomas, Duncan, Timberlake, Jonathan, de Morisson Valeriano, Márcio, van Valkenburg, Johan, Van Do, Tran, Van Sam, Hoang, Vandermeer, John H., Verbeeck, Hans, Vetaas, Ole Reidar, Adekunle, Victor, Vieira, Simone A., Webb, Campbell O., Webb, Edward L., Whitfeld, Timothy, Wich, Serge, Williams, John, Wiser, Susan, Wittmann, Florian, Yang, Xiaobo, Adou Yao, C. Yves, Yap, Sandra L., Zahawi, Rakan A., Zakaria, Rahmad, and Zang, Runguo
- Abstract
Knowledge about the biogeographic affinities of the world’s tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world’s tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northern-hemisphere forests.
163. Phylogenetic classification of the world’s tropical forests
- Author
-
Slik, J.W. Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F., K, Anitha, Avella, Andres, Mora, Francisco, Aymard C., Gerardo A., Báez, Selene, Balvanera, Patricia, Bastian, Meredith L., Bastin, Jean-François, Bellingham, Peter J., van den Berg, Eduardo, da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q., Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L., Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M., Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, H. S., Davidar, Priya, DeWalt, Saara J., Din, Hazimah, Drake, Donald R., Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J., Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W., Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-de la Cerda, Iñigo, Griffith, Daniel M., Grogan, James, Hakeem, Khalid Rehman, Harris, David J., Harrison, Rhett D., Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M. Shah, Ibarra-Manríquez, Guillermo, Hanum, I. Faridah, Imai, Nobuo, Jansen, Patrick A., Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L., Kessler, Michael, Killeen, Timothy J., Kooyman, Robert M., Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Letcher, Susan G., Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R., Martin, Emanuel H., Calderado Leal Matos, Darley, Meave, Jorge A., Melo, Felipe P.L., Mendoza, Zhofre Huberto Aguirre, Metali, Faizah, Medjibe, Vincent P., Metzger, Jean Paul, Metzker, Thiago, Mohandass, D., Munguía-Rosas, Miguel A., Muñoz, Rodrigo, Nurtjahy, Eddy, de Oliveira, Eddie Lenza, Onrizal, N., Parolin, Pia, Parren, Marc, Parthasarathy, N., Paudel, Ekananda, Perez, Rolando, Pérez-García, Eduardo A., Pommer, Ulf, Poorter, Lourens, Qi, Lan, Piedade, Maria Teresa F., Pinto, José Roberto Rodrigues, Poulsen, Axel Dalberg, Poulsen, John R., Powers, Jennifer S., Prasad, Rama Chandra, Puyravaud, Jean-Philippe, Rangel, Orlando, Reitsma, Jan, Rocha, Diogo S.B., Rolim, Samir, Rovero, Francesco, Rozak, Andes, Ruokolainen, Kalle, Rutishauser, Ervan, Rutten, Gemma, Mohd. Said, Mohd. Nizam, Saiter, Felipe Z., Saner, Philippe, Santos, Braulio, dos Santos, João Roberto, Sarker, Swapan Kumar, Schmitt, Christine B., Schoengart, Jochen, Schulze, Mark, Sheil, Douglas, Sist, Plinio, Souza, Alexandre F., Spironello, Wilson Roberto, Sposito, Tereza, Steinmetz, Robert, Stevart, Tariq, Suganuma, Marcio Seiji, Sukri, Rahayu, Sultana, Aisha, Sukumar, Raman, Sunderland, Terry, Supriyadi, N., Suresh, H.S., Suzuki, Eizi, Tabarelli, Marcelo, Tang, Jianwei, Tanner, Ed V.J., Targhetta, Natalia, Theilade, Ida, Thomas, Duncan, Timberlake, Jonathan, de Morisson Valeriano, Márcio, van Valkenburg, Johan, Van Do, Tran, Van Sam, Hoang, Vandermeer, John H., Verbeeck, Hans, Vetaas, Ole Reidar, Adekunle, Victor, Vieira, Simone A., Webb, Campbell O., Webb, Edward L., Whitfeld, Timothy, Wich, Serge, Williams, John, Wiser, Susan, Wittmann, Florian, Yang, Xiaobo, Adou Yao, C. Yves, Yap, Sandra L., Zahawi, Rakan A., Zakaria, Rahmad, Zang, Runguo, Slik, J.W. Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F., K, Anitha, Avella, Andres, Mora, Francisco, Aymard C., Gerardo A., Báez, Selene, Balvanera, Patricia, Bastian, Meredith L., Bastin, Jean-François, Bellingham, Peter J., van den Berg, Eduardo, da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q., Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L., Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M., Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, H. S., Davidar, Priya, DeWalt, Saara J., Din, Hazimah, Drake, Donald R., Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J., Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W., Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-de la Cerda, Iñigo, Griffith, Daniel M., Grogan, James, Hakeem, Khalid Rehman, Harris, David J., Harrison, Rhett D., Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M. Shah, Ibarra-Manríquez, Guillermo, Hanum, I. Faridah, Imai, Nobuo, Jansen, Patrick A., Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L., Kessler, Michael, Killeen, Timothy J., Kooyman, Robert M., Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Letcher, Susan G., Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R., Martin, Emanuel H., Calderado Leal Matos, Darley, Meave, Jorge A., Melo, Felipe P.L., Mendoza, Zhofre Huberto Aguirre, Metali, Faizah, Medjibe, Vincent P., Metzger, Jean Paul, Metzker, Thiago, Mohandass, D., Munguía-Rosas, Miguel A., Muñoz, Rodrigo, Nurtjahy, Eddy, de Oliveira, Eddie Lenza, Onrizal, N., Parolin, Pia, Parren, Marc, Parthasarathy, N., Paudel, Ekananda, Perez, Rolando, Pérez-García, Eduardo A., Pommer, Ulf, Poorter, Lourens, Qi, Lan, Piedade, Maria Teresa F., Pinto, José Roberto Rodrigues, Poulsen, Axel Dalberg, Poulsen, John R., Powers, Jennifer S., Prasad, Rama Chandra, Puyravaud, Jean-Philippe, Rangel, Orlando, Reitsma, Jan, Rocha, Diogo S.B., Rolim, Samir, Rovero, Francesco, Rozak, Andes, Ruokolainen, Kalle, Rutishauser, Ervan, Rutten, Gemma, Mohd. Said, Mohd. Nizam, Saiter, Felipe Z., Saner, Philippe, Santos, Braulio, dos Santos, João Roberto, Sarker, Swapan Kumar, Schmitt, Christine B., Schoengart, Jochen, Schulze, Mark, Sheil, Douglas, Sist, Plinio, Souza, Alexandre F., Spironello, Wilson Roberto, Sposito, Tereza, Steinmetz, Robert, Stevart, Tariq, Suganuma, Marcio Seiji, Sukri, Rahayu, Sultana, Aisha, Sukumar, Raman, Sunderland, Terry, Supriyadi, N., Suresh, H.S., Suzuki, Eizi, Tabarelli, Marcelo, Tang, Jianwei, Tanner, Ed V.J., Targhetta, Natalia, Theilade, Ida, Thomas, Duncan, Timberlake, Jonathan, de Morisson Valeriano, Márcio, van Valkenburg, Johan, Van Do, Tran, Van Sam, Hoang, Vandermeer, John H., Verbeeck, Hans, Vetaas, Ole Reidar, Adekunle, Victor, Vieira, Simone A., Webb, Campbell O., Webb, Edward L., Whitfeld, Timothy, Wich, Serge, Williams, John, Wiser, Susan, Wittmann, Florian, Yang, Xiaobo, Adou Yao, C. Yves, Yap, Sandra L., Zahawi, Rakan A., Zakaria, Rahmad, and Zang, Runguo
- Abstract
Knowledge about the biogeographic affinities of the world’s tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world’s tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northern hemisphere forests.
164. Phylogenetic classification of the world’s tropical forests
- Author
-
Slik, J.W. Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F., K, Anitha, Avella, Andres, Mora, Francisco, Aymard C., Gerardo A., Báez, Selene, Balvanera, Patricia, Bastian, Meredith L., Bastin, Jean-François, Bellingham, Peter J., van den Berg, Eduardo, da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q., Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L., Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M., Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, H. S., Davidar, Priya, DeWalt, Saara J., Din, Hazimah, Drake, Donald R., Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J., Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W., Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-de la Cerda, Iñigo, Griffith, Daniel M., Grogan, James, Hakeem, Khalid Rehman, Harris, David J., Harrison, Rhett D., Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M. Shah, Ibarra-Manríquez, Guillermo, Hanum, I. Faridah, Imai, Nobuo, Jansen, Patrick A., Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L., Kessler, Michael, Killeen, Timothy J., Kooyman, Robert M., Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Letcher, Susan G., Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R., Martin, Emanuel H., Calderado Leal Matos, Darley, Meave, Jorge A., Melo, Felipe P.L., Mendoza, Zhofre Huberto Aguirre, Metali, Faizah, Medjibe, Vincent P., Metzger, Jean Paul, Metzker, Thiago, Mohandass, D., Munguía-Rosas, Miguel A., Muñoz, Rodrigo, Nurtjahy, Eddy, de Oliveira, Eddie Lenza, Onrizal, N., Parolin, Pia, Parren, Marc, Parthasarathy, N., Paudel, Ekananda, Perez, Rolando, Pérez-García, Eduardo A., Pommer, Ulf, Poorter, Lourens, Qi, Lan, Piedade, Maria Teresa F., Pinto, José Roberto Rodrigues, Poulsen, Axel Dalberg, Poulsen, John R., Powers, Jennifer S., Prasad, Rama Chandra, Puyravaud, Jean-Philippe, Rangel, Orlando, Reitsma, Jan, Rocha, Diogo S.B., Rolim, Samir, Rovero, Francesco, Rozak, Andes, Ruokolainen, Kalle, Rutishauser, Ervan, Rutten, Gemma, Mohd. Said, Mohd. Nizam, Saiter, Felipe Z., Saner, Philippe, Santos, Braulio, dos Santos, João Roberto, Sarker, Swapan Kumar, Schmitt, Christine B., Schoengart, Jochen, Schulze, Mark, Sheil, Douglas, Sist, Plinio, Souza, Alexandre F., Spironello, Wilson Roberto, Sposito, Tereza, Steinmetz, Robert, Stevart, Tariq, Suganuma, Marcio Seiji, Sukri, Rahayu, Sultana, Aisha, Sukumar, Raman, Sunderland, Terry, Supriyadi, N., Suresh, H.S., Suzuki, Eizi, Tabarelli, Marcelo, Tang, Jianwei, Tanner, Ed V.J., Targhetta, Natalia, Theilade, Ida, Thomas, Duncan, Timberlake, Jonathan, de Morisson Valeriano, Márcio, van Valkenburg, Johan, Van Do, Tran, Van Sam, Hoang, Vandermeer, John H., Verbeeck, Hans, Vetaas, Ole Reidar, Adekunle, Victor, Vieira, Simone A., Webb, Campbell O., Webb, Edward L., Whitfeld, Timothy, Wich, Serge, Williams, John, Wiser, Susan, Wittmann, Florian, Yang, Xiaobo, Adou Yao, C. Yves, Yap, Sandra L., Zahawi, Rakan A., Zakaria, Rahmad, Zang, Runguo, Slik, J.W. Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F., K, Anitha, Avella, Andres, Mora, Francisco, Aymard C., Gerardo A., Báez, Selene, Balvanera, Patricia, Bastian, Meredith L., Bastin, Jean-François, Bellingham, Peter J., van den Berg, Eduardo, da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q., Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L., Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M., Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, H. S., Davidar, Priya, DeWalt, Saara J., Din, Hazimah, Drake, Donald R., Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J., Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W., Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-de la Cerda, Iñigo, Griffith, Daniel M., Grogan, James, Hakeem, Khalid Rehman, Harris, David J., Harrison, Rhett D., Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M. Shah, Ibarra-Manríquez, Guillermo, Hanum, I. Faridah, Imai, Nobuo, Jansen, Patrick A., Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L., Kessler, Michael, Killeen, Timothy J., Kooyman, Robert M., Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Letcher, Susan G., Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R., Martin, Emanuel H., Calderado Leal Matos, Darley, Meave, Jorge A., Melo, Felipe P.L., Mendoza, Zhofre Huberto Aguirre, Metali, Faizah, Medjibe, Vincent P., Metzger, Jean Paul, Metzker, Thiago, Mohandass, D., Munguía-Rosas, Miguel A., Muñoz, Rodrigo, Nurtjahy, Eddy, de Oliveira, Eddie Lenza, Onrizal, N., Parolin, Pia, Parren, Marc, Parthasarathy, N., Paudel, Ekananda, Perez, Rolando, Pérez-García, Eduardo A., Pommer, Ulf, Poorter, Lourens, Qi, Lan, Piedade, Maria Teresa F., Pinto, José Roberto Rodrigues, Poulsen, Axel Dalberg, Poulsen, John R., Powers, Jennifer S., Prasad, Rama Chandra, Puyravaud, Jean-Philippe, Rangel, Orlando, Reitsma, Jan, Rocha, Diogo S.B., Rolim, Samir, Rovero, Francesco, Rozak, Andes, Ruokolainen, Kalle, Rutishauser, Ervan, Rutten, Gemma, Mohd. Said, Mohd. Nizam, Saiter, Felipe Z., Saner, Philippe, Santos, Braulio, dos Santos, João Roberto, Sarker, Swapan Kumar, Schmitt, Christine B., Schoengart, Jochen, Schulze, Mark, Sheil, Douglas, Sist, Plinio, Souza, Alexandre F., Spironello, Wilson Roberto, Sposito, Tereza, Steinmetz, Robert, Stevart, Tariq, Suganuma, Marcio Seiji, Sukri, Rahayu, Sultana, Aisha, Sukumar, Raman, Sunderland, Terry, Supriyadi, N., Suresh, H.S., Suzuki, Eizi, Tabarelli, Marcelo, Tang, Jianwei, Tanner, Ed V.J., Targhetta, Natalia, Theilade, Ida, Thomas, Duncan, Timberlake, Jonathan, de Morisson Valeriano, Márcio, van Valkenburg, Johan, Van Do, Tran, Van Sam, Hoang, Vandermeer, John H., Verbeeck, Hans, Vetaas, Ole Reidar, Adekunle, Victor, Vieira, Simone A., Webb, Campbell O., Webb, Edward L., Whitfeld, Timothy, Wich, Serge, Williams, John, Wiser, Susan, Wittmann, Florian, Yang, Xiaobo, Adou Yao, C. Yves, Yap, Sandra L., Zahawi, Rakan A., Zakaria, Rahmad, and Zang, Runguo
- Abstract
Knowledge about the biogeographic affinities of the world’s tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world’s tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northern hemisphere forests.
165. Phylogenetic classification of the world’s tropical forests
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Slik, J.W. Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F., K, Anitha, Avella, Andres, Mora, Francisco, Aymard C., Gerardo A., Báez, Selene, Balvanera, Patricia, Bastian, Meredith L., Bastin, Jean-François, Bellingham, Peter J., van den Berg, Eduardo, da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q., Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L., Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M., Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, H. S., Davidar, Priya, DeWalt, Saara J., Din, Hazimah, Drake, Donald R., Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J., Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W., Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-de la Cerda, Iñigo, Griffith, Daniel M., Grogan, James, Hakeem, Khalid Rehman, Harris, David J., Harrison, Rhett D., Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M. Shah, Ibarra-Manríquez, Guillermo, Hanum, I. Faridah, Imai, Nobuo, Jansen, Patrick A., Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L., Kessler, Michael, Killeen, Timothy J., Kooyman, Robert M., Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Letcher, Susan G., Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R., Martin, Emanuel H., Calderado Leal Matos, Darley, Meave, Jorge A., Melo, Felipe P.L., Mendoza, Zhofre Huberto Aguirre, Metali, Faizah, Medjibe, Vincent P., Metzger, Jean Paul, Metzker, Thiago, Mohandass, D., Munguía-Rosas, Miguel A., Muñoz, Rodrigo, Nurtjahy, Eddy, de Oliveira, Eddie Lenza, Onrizal, N., Parolin, Pia, Parren, Marc, Parthasarathy, N., Paudel, Ekananda, Perez, Rolando, Pérez-García, Eduardo A., Pommer, Ulf, Poorter, Lourens, Qi, Lan, Piedade, Maria Teresa F., Pinto, José Roberto Rodrigues, Poulsen, Axel Dalberg, Poulsen, John R., Powers, Jennifer S., Prasad, Rama Chandra, Puyravaud, Jean-Philippe, Rangel, Orlando, Reitsma, Jan, Rocha, Diogo S.B., Rolim, Samir, Rovero, Francesco, Rozak, Andes, Ruokolainen, Kalle, Rutishauser, Ervan, Rutten, Gemma, Mohd. Said, Mohd. Nizam, Saiter, Felipe Z., Saner, Philippe, Santos, Braulio, dos Santos, João Roberto, Sarker, Swapan Kumar, Schmitt, Christine B., Schoengart, Jochen, Schulze, Mark, Sheil, Douglas, Sist, Plinio, Souza, Alexandre F., Spironello, Wilson Roberto, Sposito, Tereza, Steinmetz, Robert, Stevart, Tariq, Suganuma, Marcio Seiji, Sukri, Rahayu, Sultana, Aisha, Sukumar, Raman, Sunderland, Terry, Supriyadi, N., Suresh, H.S., Suzuki, Eizi, Tabarelli, Marcelo, Tang, Jianwei, Tanner, Ed V.J., Targhetta, Natalia, Theilade, Ida, Thomas, Duncan, Timberlake, Jonathan, de Morisson Valeriano, Márcio, van Valkenburg, Johan, Van Do, Tran, Van Sam, Hoang, Vandermeer, John H., Verbeeck, Hans, Vetaas, Ole Reidar, Adekunle, Victor, Vieira, Simone A., Webb, Campbell O., Webb, Edward L., Whitfeld, Timothy, Wich, Serge, Williams, John, Wiser, Susan, Wittmann, Florian, Yang, Xiaobo, Adou Yao, C. Yves, Yap, Sandra L., Zahawi, Rakan A., Zakaria, Rahmad, Zang, Runguo, Slik, J.W. Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F., K, Anitha, Avella, Andres, Mora, Francisco, Aymard C., Gerardo A., Báez, Selene, Balvanera, Patricia, Bastian, Meredith L., Bastin, Jean-François, Bellingham, Peter J., van den Berg, Eduardo, da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q., Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L., Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M., Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, H. S., Davidar, Priya, DeWalt, Saara J., Din, Hazimah, Drake, Donald R., Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J., Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W., Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-de la Cerda, Iñigo, Griffith, Daniel M., Grogan, James, Hakeem, Khalid Rehman, Harris, David J., Harrison, Rhett D., Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M. Shah, Ibarra-Manríquez, Guillermo, Hanum, I. Faridah, Imai, Nobuo, Jansen, Patrick A., Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L., Kessler, Michael, Killeen, Timothy J., Kooyman, Robert M., Laumonier, Yves, Laurance, Susan G., Laurance, William F., Lawes, Michael J., Letcher, Susan G., Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R., Martin, Emanuel H., Calderado Leal Matos, Darley, Meave, Jorge A., Melo, Felipe P.L., Mendoza, Zhofre Huberto Aguirre, Metali, Faizah, Medjibe, Vincent P., Metzger, Jean Paul, Metzker, Thiago, Mohandass, D., Munguía-Rosas, Miguel A., Muñoz, Rodrigo, Nurtjahy, Eddy, de Oliveira, Eddie Lenza, Onrizal, N., Parolin, Pia, Parren, Marc, Parthasarathy, N., Paudel, Ekananda, Perez, Rolando, Pérez-García, Eduardo A., Pommer, Ulf, Poorter, Lourens, Qi, Lan, Piedade, Maria Teresa F., Pinto, José Roberto Rodrigues, Poulsen, Axel Dalberg, Poulsen, John R., Powers, Jennifer S., Prasad, Rama Chandra, Puyravaud, Jean-Philippe, Rangel, Orlando, Reitsma, Jan, Rocha, Diogo S.B., Rolim, Samir, Rovero, Francesco, Rozak, Andes, Ruokolainen, Kalle, Rutishauser, Ervan, Rutten, Gemma, Mohd. Said, Mohd. Nizam, Saiter, Felipe Z., Saner, Philippe, Santos, Braulio, dos Santos, João Roberto, Sarker, Swapan Kumar, Schmitt, Christine B., Schoengart, Jochen, Schulze, Mark, Sheil, Douglas, Sist, Plinio, Souza, Alexandre F., Spironello, Wilson Roberto, Sposito, Tereza, Steinmetz, Robert, Stevart, Tariq, Suganuma, Marcio Seiji, Sukri, Rahayu, Sultana, Aisha, Sukumar, Raman, Sunderland, Terry, Supriyadi, N., Suresh, H.S., Suzuki, Eizi, Tabarelli, Marcelo, Tang, Jianwei, Tanner, Ed V.J., Targhetta, Natalia, Theilade, Ida, Thomas, Duncan, Timberlake, Jonathan, de Morisson Valeriano, Márcio, van Valkenburg, Johan, Van Do, Tran, Van Sam, Hoang, Vandermeer, John H., Verbeeck, Hans, Vetaas, Ole Reidar, Adekunle, Victor, Vieira, Simone A., Webb, Campbell O., Webb, Edward L., Whitfeld, Timothy, Wich, Serge, Williams, John, Wiser, Susan, Wittmann, Florian, Yang, Xiaobo, Adou Yao, C. Yves, Yap, Sandra L., Zahawi, Rakan A., Zakaria, Rahmad, and Zang, Runguo
- Abstract
Knowledge about the biogeographic affinities of the world’s tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world’s tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northern hemisphere forests.
166. Damage to tropical forests caused by cyclones is driven by wind speed but mediated by topographical exposure and tree characteristics.
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Ibanez, Thomas, Bauman, David, Aiba, Shin‐ichiro, Arsouze, Thomas, Bellingham, Peter J., Birkinshaw, Chris, Birnbaum, Philippe, Curran, Timothy J., DeWalt, Saara J., Dwyer, John, Fourcaud, Thierry, Franklin, Janet, Kohyama, Takashi S., Menkes, Christophe, Metcalfe, Dan J., Murphy, Helen, Muscarella, Robert, Plunkett, Gregory M., Sam, Chanel, and Tanner, Edmund
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WIND speed , *TROPICAL forests , *CYCLONES , *TRAFFIC safety , *TROPICAL cyclones , *TREE size ,WOOD density - Abstract
Each year, an average of 45 tropical cyclones affect coastal areas and potentially impact forests. The proportion of the most intense cyclones has increased over the past four decades and is predicted to continue to do so. Yet, it remains uncertain how topographical exposure and tree characteristics can mediate the damage caused by increasing wind speed. Here, we compiled empirical data on the damage caused by 11 cyclones occurring over the past 40 years, from 74 forest plots representing tropical regions worldwide, encompassing field data for 22,176 trees and 815 species. We reconstructed the wind structure of those tropical cyclones to estimate the maximum sustained wind speed (MSW) and wind direction at the studied plots. Then, we used a causal inference framework combined with Bayesian generalised linear mixed models to understand and quantify the causal effects of MSW, topographical exposure to wind (EXP), tree size (DBH) and species wood density (ρ) on the proportion of damaged trees at the community level, and on the probability of snapping or uprooting at the tree level. The probability of snapping or uprooting at the tree level and, hence, the proportion of damaged trees at the community level, increased with increasing MSW, and with increasing EXP accentuating the damaging effects of cyclones, in particular at higher wind speeds. Higher ρ decreased the probability of snapping and to a lesser extent of uprooting. Larger trees tended to have lower probabilities of snapping but increased probabilities of uprooting. Importantly, the effect of ρ decreasing the probabilities of snapping was more marked for smaller than larger trees and was further accentuated at higher MSW. Our work emphasises how local topography, tree size and species wood density together mediate cyclone damage to tropical forests, facilitating better predictions of the impacts of such disturbances in an increasingly windier world. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
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167. A management experiment reveals the difficulty of altering seedling growth and palatable plant biomass by culling invasive deer
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Ramsey, David S. L., Forsyth, David M., Veltman, Clare J., Richardson, Sarah J., Allen, Robert B., Allen, Will J., Barker, Richard J., Bellingham, Peter J., Jacobson, Chris L., Nicol, Simon J., Robertson, Alastair W., and Todd, Charles R.
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- 2018
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168. Can seed banking assist in conserving the highly endemic New Zealand indigenous flora?
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Wyse, Sarah V., Carlin, Thomas F., Etherington, Thomas R., Faruk, Aisyah, Dickie, John B., and Bellingham, Peter J.
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BOTANY , *SEED storage , *ISLAND plants , *PLANT conservation , *REGRESSION trees - Abstract
Context: Globally, plant species are facing numerous threats; an issue particularly acute for island floras, which often exhibit high levels of endemism. Ex situ conservation in seed banks is an important tool for plant conservation. However not all species' seeds can be stored in conventional seed banks. Data on seed storage behaviour are therefore vital for conservation decision making. Aims: To review available seed storage information for the New Zealand (NZ) indigenous seed plant flora, 86% of which are endemic. Methods: We compiled seed storage information for the NZ flora from databases and existing literature, and used boosted regression trees models to investigate predictors of seed storage behaviour for NZ woody plants. We used existing global models to predict the likely storage behaviour for the NZ woody flora where this was unknown, to examine the overall contribution that conventional seed banking could make towards NZ plant conservation. Key results: Data were available for 412 of 1823 seed plants, of which 83% produced orthodox seeds that can be stored in a conventional seed bank. Of the woody flora, the incidence of non-orthodox seeds was positively correlated with seed mass, plant height, biotic dispersal, and habitat diurnal temperature range. Eighty-one percent of the woody flora are predicted to produce orthodox seeds. Conclusions and implications: Conventional seed banking is likely to be suitable for a high proportion of the NZ flora. However, work is required to gain further seed storage behaviour data for NZ species, and to develop protocols for alternative ex situ conservation strategies for non-orthodox species, especially those facing in situ conservation threats. Seed banks are an important tool for plant conservation. However not all species can be stored. We compiled information on seed storage for New Zealand plants, finding that 83% could be stored in a seed bank. Plants unable to be banked are generally bird-dispersed canopy trees, including some threatened species. [ABSTRACT FROM AUTHOR]
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- 2024
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169. Commercial forests: Native advantage.
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Peltzer, Duane A., Bellingham, Peter J., Dickie, Ian A., and Hulme, Philip E.
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PEST control , *FOREST conservation , *INTERNATIONAL cooperation , *MANAGEMENT - Abstract
A letter to the editor is presented in response to the article "Planted Forest Health: The Need for a Global Strategy" by M. J. Wingfield et al., published in the August 21, 2015 issue, which focuses on the integration of global management approaches in order to prevent future forest pest problems.
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- 2015
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170. A conifer-angiosperm divergence in the growth vs. shade tolerance trade-off underlies the dynamics of a New Zealand warm-temperate rain forest.
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Lusk, Christopher H., Jorgensen, Murray A., Bellingham, Peter J., and Gilliam, Frank
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CONIFEROUS forests , *ANGIOSPERMS , *RAIN forests , *PODOCARPUS , *FOREST canopy gaps , *PLANT growth - Abstract
A central tenet of forest ecology is that succession and regeneration dynamics are driven by an interspecific trade-off between juvenile growth rates in high light and shade tolerance. There is evidence, however, that a single trade-off axis may fail to explain the dynamics of mixed conifer-angiosperm rain forests in the Southern Hemisphere, especially in New Zealand., We tested for growth vs. shade tolerance trade-offs by measuring juvenile growth of five podocarps and five broadleaved canopy angiosperms across a wide range of light environments in a New Zealand warm-temperate rain forest. The light compensation point of growth was used as a measure of species light requirements, which we then compared with height growth in 10% light, approximating the environments encountered beneath small treefall gaps., Despite considerable overlap between the ranges of both growth rates and compensation points found in the two lineages, major axis tests showed that the growth vs. shade tolerance trade-off differed significantly between podocarp and angiosperm species. At a common compensation point, angiosperms were faster growing than podocarps in 10% light. However, juveniles of these angiosperm species were notably scarce in the more open environments associated with forest margins., Synthesis. A conifer-angiosperm divergence in the growth vs. shade tolerance trade-off may explain long-standing problems of the dynamics of these forests. Although juveniles of most lowland podocarps can tolerate considerable shade, the more vigorous response of broadleaved angiosperms to small canopy openings enables them to out-compete podocarps in old-growth stands. The greater abundance of podocarp juveniles on forest margins cannot be attributed to them out-competing angiosperm species where light is abundant and is likely to reflect superior resistance to frost and/or drought. The drivers of the dynamics of New Zealand's podocarp-broadleaved forests therefore differ appreciably from those ascribed to tropical and north-temperate forests. [ABSTRACT FROM AUTHOR]
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- 2015
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171. Leaf manganese concentrations as a tool to assess belowground plant functioning in phosphorus-impoverished environments.
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Lambers, Hans, Wright, Ian J., Guilherme Pereira, Caio, Bellingham, Peter J., Bentley, Lisa Patrick, Boonman, Alex, Cernusak, Lucas A., Foulds, William, Gleason, Sean M., Gray, Emma F., Hayes, Patrick E., Kooyman, Robert M., Malhi, Yadvinder, Richardson, Sarah J., Shane, Michael W., Staudinger, Christiana, Stock, William D., Swarts, Nigel D., Turner, Benjamin L., and Turner, John
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PLANT capacity , *FOLIAR diagnosis , *MANGANESE , *SOIL acidity , *WATER supply , *CARBOXYLATES , *RHIZOSPHERE - Abstract
Background and aims: Root-released carboxylates enhance the availability of manganese (Mn), which enters roots through transporters with low substrate specificity. Leaf Mn concentration ([Mn]) has been proposed as a signature for phosphorus (P)-mobilising carboxylates in the rhizosphere. Here we test whether leaf [Mn] provides a signature for root functional types related to P acquisition. Methods: Across 727 species at 66 sites in Australia and New Zealand, we measured leaf [Mn] as related to root functional type, while also considering soil and climate variables. To further assess the specific situations under which leaf [Mn] is a suitable proxy for rhizosphere carboxylate concentration, we studied leaf [Mn] along a strong gradient in water availability on one representative site. In addition, we focused on two systems where a species produced unexpected results. Results: Controlling for background site-specific variation in leaf [Mn] with soil pH and mean annual precipitation, we established that mycorrhizal species have significantly lower leaf [Mn] than non-mycorrhizal species with carboxylate-releasing root structures, e.g., cluster roots. In exception to the general tendency, leaf [Mn] did not provide information about root functional types under seasonally waterlogged conditions, which increase iron availability and thereby interfere with Mn-uptake capacity. Two further exceptions were scrutinised, leading to the conclusion that they were 'anomalous' in not functioning like typical species in their families, as expected according to the literature. Conclusions: Leaf [Mn] variation provides considerable insights on differences in belowground functioning among co-occurring species. Using this approach, we concluded that, within typical mycorrhizal families, some species actually depend on a carboxylate-releasing P-mobilising strategy. Likewise, within families that are known to produce carboxylate-releasing cluster roots, some do not produce functional cluster roots when mature. An analysis of leaf [Mn] can alert us to such 'anomalous' species. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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172. Climatic limits of temperate rainforest tree species are explained by xylem embolism resistance among angiosperms but not among conifers.
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Laughlin, Daniel C., Delzon, Sylvain, Clearwater, Michael J., Bellingham, Peter J., McGlone, Matthew S., and Richardson, Sarah J.
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TEMPERATE rain forests , *RAIN forests , *EMBOLISMS , *XYLEM , *SPECIES , *CONIFERS ,WOOD density - Abstract
Summary: Hydraulic failure explains much of the increased rates of drought‐induced tree mortality around the world, underlining the importance of understanding how species distributions are shaped by their vulnerability to embolism. Here we determined which physiological traits explain species climatic limits among temperate rainforest trees in a region where chronic water limitation is uncommon.We quantified the variation in stem embolism vulnerability and leaf turgor loss point among 55 temperate rainforest tree species in New Zealand and tested which traits were most strongly related to species climatic limits.Leaf turgor loss point and stem P50 (tension at which hydraulic conductance is at 50% of maximum) were uncorrelated. Stem P50 and hydraulic safety margin were the most strongly related physiological traits to climatic limits among angiosperms, but not among conifers. Morphological traits such as wood density and leaf dry matter content did not explain species climatic limits.Stem embolism resistance and leaf turgor loss point appear to have evolved independently. Embolism resistance is the most useful predictor of the climatic limits of angiosperm trees. High embolism resistance in the curiously overbuilt New Zealand conifers suggests that their xylem properties may be more closely related to growing slowly under nutrient limitation and to resistance to microbial decomposition. [ABSTRACT FROM AUTHOR]
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- 2020
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173. Global effects of non‐native tree species on multiple ecosystem services.
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Castro‐Díez, Pilar, Vaz, Ana Sofia, Silva, Joaquim S., Loo, Marcela, Alonso, Álvaro, Aponte, Cristina, Bayón, Álvaro, Bellingham, Peter J., Chiuffo, Mariana C., DiManno, Nicole, Julian, Kahua, Kandert, Susanne, Porta, Nicola La, Marchante, Hélia, Maule, Hamish G., Mayfield, Margaret M., Metcalfe, Daniel, Monteverdi, M. Cristina, Núñez, Martín A., and Ostertag, Rebecca
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ECOSYSTEM services , *SCIENTIFIC literature , *SOIL conservation , *INTRODUCED species , *CULTURAL landscapes , *ATMOSPHERIC nitrogen - Abstract
Non‐native tree (NNT) species have been transported worldwide to create or enhance services that are fundamental for human well‐being, such as timber provision, erosion control or ornamental value; yet NNTs can also produce undesired effects, such as fire proneness or pollen allergenicity. Despite the variety of effects that NNTs have on multiple ecosystem services, a global quantitative assessment of their costs and benefits is still lacking. Such information is critical for decision‐making, management and sustainable exploitation of NNTs. We present here a global assessment of NNT effects on the three main categories of ecosystem services, including regulating (RES), provisioning (PES) and cultural services (CES), and on an ecosystem disservice (EDS), i.e. pollen allergenicity. By searching the scientific literature, country forestry reports, and social media, we compiled a global data set of 1683 case studies from over 125 NNT species, covering 44 countries, all continents but Antarctica, and seven biomes. Using different meta‐analysis techniques, we found that, while NNTs increase most RES (e.g. climate regulation, soil erosion control, fertility and formation), they decrease PES (e.g. NNTs contribute less than native trees to global timber provision). Also, they have different effects on CES (e.g. increase aesthetic values but decrease scientific interest), and no effect on the EDS considered. NNT effects on each ecosystem (dis)service showed a strong context dependency, varying across NNT types, biomes and socio‐economic conditions. For instance, some RES are increased more by NNTs able to fix atmospheric nitrogen, and when the ecosystem is located in low‐latitude biomes; some CES are increased more by NNTs in less‐wealthy countries or in countries with higher gross domestic products. The effects of NNTs on several ecosystem (dis)services exhibited some synergies (e.g. among soil fertility, soil formation and climate regulation or between aesthetic values and pollen allergenicity), but also trade‐offs (e.g. between fire regulation and soil erosion control). Our analyses provide a quantitative understanding of the complex synergies, trade‐offs and context dependencies involved for the effects of NNTs that is essential for attaining a sustained provision of ecosystem services. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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174. Using DNA metabarcoding to assess New Zealand's terrestrial biodiversity.
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Holdaway, Robert J., Wood, Jamie R., Dickie, Ian A., Orwin, Kate H., Bellingham, Peter J., Richardson, Sarah J., Lyver, Phil O'B., Timoti, Puke, and Buckley, Thomas R.
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BIOTIC communities , *NUCLEOTIDE sequencing , *ORGANISMS , *BIOINFORMATICS , *LAND management - Abstract
High throughput DNA sequencing technology has enabled entire biological communities to be characterised from DNA derived from pools of organisms, such as bulk-collected invertebrates, or DNA extracted from environmental samples (e.g. soil). These DNA-based techniques have the potential to revolutionise biodiversity monitoring. One approach in particular, DNA metabarcoding, can provide unprecedented taxonomic breadth at a scale not practically achievable through the morphological identification of individual organisms. Here, we assess the current strengths and weaknesses of DNA metabarcoding techniques for biodiversity assessment. We argue that it is essential to integrate conventional monitoring methods with novel DNA methods, to validate methods, and to better use and interpret data. We present a conceptual framework for how this might be done, explore potential applications within national biodiversity assessment frameworks, Maori biodiversity monitoring and the primary sector, and highlight areas of current uncertainty and future research directions. Rapid developments in DNA sequencing technology and bioinformatics will make DNA-based community data increasingly accessible to ecologists, and there needs to be a corresponding shift in research focus from DNA metabarcoding method development and evaluation to real-world applications that provide rich information for a range of purposes, including conservation planning and land management decisions. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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- View/download PDF
175. Altered cyclone-fire interactions are changing ecosystems
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Thomas Ibanez, William J. Platt, Peter J. Bellingham, Ghislain Vieilledent, Janet Franklin, Patrick H. Martin, Christophe Menkes, Diego R. Pérez-Salicrup, Jeremy Russell-Smith, Gunnar Keppel, Ibanez, Thomas, Platt, William J, Bellingham, Peter J, Vieilledent, Ghislain, Franklin, Janet, Martin, Patrick H, Menkes, Christophe, Pérez-Salicrup, Diego R, Russell-Smith, Jeremy, and Keppel, Gunnar
- Subjects
Changement climatique ,disturbance interactions ,woody ecosystems ,Incendie ,Cyclonic Storms ,Dégât à la plante ,Plant Science ,forêt tropicale ,Forests ,Cyclone ,Fires ,Trees ,alternative biome states ,cyclone and fire regimes ,P01 - Conservation de la nature et ressources foncières ,K70 - Dégâts causés aux forêts et leur protection ,Ecosystem ,Écosystème - Abstract
Global change is altering interactions between ecological disturbances. We review interactions between tropical cyclones and fires that affect woody biomes in many islands and coastal areas. Cyclone-induced damage to trees can increase fuel loads on the ground and dryness in the understory, which increases the likelihood, intensity, and area of subsequent fires. In forest biomes, cyclone–fire interactions may initiate a grass–fire cycle and establish stable open-canopy biomes. In cyclone-prone regions, frequent cyclone-enhanced fires may generate and maintain stable open-canopy biomes (e.g., savannas and woodlands). We discuss how global change is transforming fire and cyclone regimes, extensively altering cyclone–fire interactions. These altered cyclone–fire interactions are shifting biomes away from historical states and causing loss of biodiversity Refereed/Peer-reviewed
- Published
- 2022
176. Functional and environmental determinants of bark thickness in fire-free temperate rain forest communities.
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Richardson, Sarah J., Laughlin, Daniel C., Lawes, Michael J., Holdaway, Robert J., Wilmshurst, Janet M., Wright, Monique, Curran, Timothy J., Bellingham, Peter J., and McGlone, Matt S.
- Subjects
- *
BARK , *TEMPERATE rain forests , *COMMUNITY forests , *FOREST ecology , *ENVIRONMENTAL engineering - Abstract
PREMISE OF THE STUDY: In fire-prone ecosystems, variation in bark thickness among species and communities has been explained by fire frequency; thick bark is necessary to protect cambium from lethal temperatures. Elsewhere this investment is deemed unnecessary, and thin bark is thought to prevail. Flowever, in rain forest ecosystems where fire is rare, bark thickness varies widely among species and communities, and the causes of this variation remain enigmatic. We tested for functional explanations of bark thickness variation in temperate rain forest species and communities. METHODS: We measured bark thickness in 82 tree species throughout New Zealand temperate rain forests that historically have experienced little fire and applied two complementary analyses. First, we examined correlations between bark traits and leaf habit, and leaf and stem traits. Second, we calculated community-weighted mean (CWM) bark thickness for 272 plots distributed throughout New Zealand to identify the environments in which thicker-barked communities occur. KEY RESULTS: Conifers had higher size-independent bark thickness than evergreen angiosperms. Species w ith thicker bark or higher bark allocation coefficients were not associated with "slow economic" plant traits. Across 272 forest plots, communities with thicker bark occurred on infertile soils, and communities with thicker bark and higher bark allocation coefficients occurred in cooler, drier climates. CONCLUSIONS: In non-fire-prone temperate rain forest ecosystems, investment in bark is driven by soil resources, cool minimum temperatures, and seasonal moisture stress. The role of these factors in fire-prone ecosystems warrants testing. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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177. Towards a global terrestrial species monitoring program
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Tetsukazu Yahara, Chris van Swaay, Richard D. Gregory, David M. Forsyth, Jaime Garcia Moreno, Jayne Belnap, Peter J. Bellingham, Romain Julliard, Denis Couvet, Melodie A. McGeoch, Neil Brummitt, Alessandro Chiarucci, Dirk S. Schmeller, Jean-Baptiste Mihoub, Vania Proenca, Sarah C. Elmendorf, William E. Magnusson, Henrique M. Pereira, Laura J. Martin, Monika Böhm, Schmeller, Dirk S., Julliard, Romain, Bellingham, Peter J., Böhm, Monika, Brummitt, Neil, Chiarucci, Alessandro, Couvet, Deni, Elmendorf, Sarah, Forsyth, David M., García Moreno, Jaime, Gregory, Richard D., Magnusson, William E., Martin, Laura J., McGeoch, Melodie A., Mihoub, Jean-Baptiste, Pereira, Henrique M., Proença, Vânia, van Swaay, Chris A.M., Yahara, Tetsukazu, and Belnap, Jayne
- Subjects
Strategic planning ,Convention on Biological Diversity ,GEO System of System ,Ecology ,Computer science ,business.industry ,Environmental resource management ,Biodiversity ,Modelling framework ,Group of Earth Observation Biodiversity Observation Network ,Essential Biodiversity Variable ,Policy support ,Monitoring program ,Ecosystem services ,Global Earth Observation System of Systems ,Sustainability ,Measurement of biodiversity ,business ,Nature and Landscape Conservation - Abstract
The Convention on Biological Diversity's strategic plan lays out five goals: “(A) address the underlying causes of biodiversity loss by mainstreaming biodiversity across government and society; (B) reduce the direct pressures on biodiversity and promote sustainable use; (C) improve the status of biodiversity by safeguarding ecosystems, species and genetic diversity; (D) enhance the benefits to all from biodiversity and ecosystem services; (E) enhance implementation through participatory planning, knowledge management and capacity building.” To meet and inform on the progress towards these goals, a globally coordinated approach is needed for biodiversity monitoring that is linked to environmental data and covers all biogeographic regions. During a series of workshops and expert discussions, we identified nine requirements that we believe are necessary for developing and implementing such a global terrestrial species monitoring program. The program needs to design and implement an integrated information chain from monitoring to policy reporting, to create and implement minimal data standards and common monitoring protocols to be able to inform Essential Biodiversity Variables (EBVs), and to develop and optimize semantics and ontologies for data interoperability and modelling. In order to achieve this, the program needs to coordinate diverse but complementary local nodes and partnerships. In addition, capacities need to be built for technical tasks, and new monitoring technologies need to be integrated. Finally, a global monitoring program needs to facilitate and secure funding for the collection of long-term data and to detect and fill gaps in under-observed regions and taxa. The accomplishment of these nine requirements is essential in order to ensure data is comprehensive, to develop robust models, and to monitor biodiversity trends over large scales. A global terrestrial species monitoring program will enable researchers and policymakers to better understand the status and trends of biodiversity.
- Published
- 2015
178. New Zealand's indigenous forests and shrublands
- Author
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Allen, Robert B., Bellingham, Peter J., Holdaway, Robert J., and Wiser, Susan K.
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179. Reconstructing the effects of hurricanes over 155 years on the structure and diversity of trees in two tropical montane rainforests in Jamaica.
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McLaren, Kurt, Luke, Denneko, Tanner, Edmund, Bellingham, Peter J., and Healey, John R.
- Subjects
- *
RAIN forests , *HURRICANES , *TOPOGRAPHIC maps , *FOREST density , *MOUNTAIN forests , *TREES - Abstract
• The influence of hurricane exposure on tree diversity and density were determined. • Diversity peaked at locations with intermediate exposure to six hurricanes. • Density peaked at locations that were always highly exposed to 12 hurricanes. • The influence of a hurricane became evident after 16–21 years and can last 101 years. • At a second site, density peaked where exposure to four recent hurricanes was highest. The effects of the spatiotemporal (> 100 years) range of hurricane disturbance intensity on tree diversity and density patterns are largely unknown, because data on past stand or landscape scale hurricane impacts are sometimes unavailable. We therefore reconstructed and mapped topographic exposure (a proxy to disturbance) to twelve category 2–4 hurricanes that affected the rain forests of the Blue Mountains (BM) and the John Crow Mountains (JCM) in Jamaica, over 155 years. Maps of average topographic exposure and the spatial outputs from a pixel-based polynomial regression of the cardinal directions of the tracks of past hurricanes (predictor) and past exposure (response) were then used to represent the aggregate spatiotemporal range of exposure. Next, we used data collected over the period 1974–2009 from 35, 10 x 10 m nested subplots and 1991 to 2004 from 16, 200 m2 circular plots for the BM and 2006–2012 from 45, 25 x 25 m plots for the JCM, and Bayesian spatiotemporal, Integrated Nested Laplace Approximation (INLA) models to determine whether stand-level (≈ 1 km2) tree Shannon diversity and density patterns were primarily influenced by exposure to a single hurricane, the most severe hurricane or to multiple hurricanes and the duration of hurricane effects on Shannon diversity and tree density. In the BM, long-term diversity peaked at locations with intermediate values of average exposure for six hurricanes (five of which made landfall over the period 1903–1988). Short-term diversity peaked at locations that experienced significantly higher exposure situated to the south or north of the hurricane's track when the tracks were to the north or south of the island, respectively. Short-term density peaked at locations that were always highly exposed. Moreover, the influence of the most severe hurricane on diversity can last up to 101 years and the influence of the most recent hurricane (Gilbert) on diversity became evident after 16–21 years. The JCM were more susceptible to hurricanes and this diminished the influence of past hurricanes. Consequently, density peaked at sites with the highest average exposure to the four most recent hurricanes (1988–2007), only one of which made landfall. If historical hurricane disturbance data are unavailable, reconstructed exposure maps can be used to provide valuable insights into the effects of past hurricanes on stand-level tree diversity and density patterns. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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180. A Growth-Survival Trade-Off Along an Elevation Gradient Is Altered by Earthquake Disturbance in a Monodominant Southern Beech Forest.
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Allen RB, MacKenzie DI, Wiser SK, Bellingham PJ, Burrows LE, and Coomes DA
- Abstract
Tree growth-survival relationships link two demographic processes that individually dictate the composition, structure and functioning of forest ecosystems. While these relationships vary intra-specifically, it remains unclear how this reflects environmental variation and disturbance. We examined the influence of a 700-m elevation gradient and an Mw = 6.7 earthquake on intra-specific variability in growth-survival relationships. We expected that survival models that incorporated recent growth would be better supported than those only using other factors known to influence tree survival. We used a permanent plot network that representatively sampled a monodominant Nothofagus forest in New Zealand's Southern Alps in 1974 and that was remeasured seven times through to 2009. The relationships were assessed using pre-earthquake growth and survival, pre-earthquake growth and post-earthquake survival (0-5 years post-earthquake), and post-earthquake growth and survival (5+ years post-earthquake). Survival was related to growth of 4504 trees on 216 plots using Bayesian modelling. We hypothesised there would be a positive, logistic relationship between growth and survival. Pre-earthquake, we found a positive, logarithmic growth-survival relationship at all elevations. At higher elevations, trees grew more slowly but had higher survival than trees at lower elevations, supporting our hypothesised demographic trade-off with elevation. The earthquake altered growth-survival relationships from those found pre-earthquake and 0-5 years post-earthquake survival held little relationship with growth. A strong, logarithmic growth-survival relationship developed 5+ years post-earthquake because of enhanced survival of fast-growing trees yet low survival of slow-growing trees. Synthesis . Our findings demonstrate a trend in growth-survival relationships along an elevation gradient. If we assume a gradual climate warming is the equivalent of a forest stand shifting to a lower elevation, then data from our pre-earthquake period suggest that tree growth-survival relationships at any elevation could adjust to faster growth and lower survival. We also show how these novel growth-survival relationships could be altered by periodic disturbance., Competing Interests: The authors declare no conflicts of interest., (© 2024 The Author(s). Ecology and Evolution published by John Wiley & Sons Ltd.)
- Published
- 2024
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181. Detecting Nonadditive Biotic Interactions and Assessing Their Biological Relevance among Temperate Rainforest Trees.
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Lai HR, Bellingham PJ, McCarthy JK, Richardson SJ, Wiser SK, and Stouffer DB
- Subjects
- New Zealand, Models, Biological, Climate, Climate Change, Rainforest, Trees growth & development
- Abstract
AbstractInteractions between and within abiotic and biotic processes generate nonadditive density-dependent effects on species performance that can vary in strength or direction across environments. If ignored, nonadditivities can lead to inaccurate predictions of species responses to environmental and compositional changes. While there are increasing empirical efforts to test the constancy of pairwise biotic interactions along environmental and compositional gradients, few assess both simultaneously. Using a nationwide forest inventory that spans broad ambient temperature and moisture gradients throughout New Zealand, we address this gap by analyzing the diameter growth of six focal tree species as a function of neighbor densities and climate, as well as neighbor × climate and neighbor × neighbor statistical interactions. The most complex model featuring all interaction terms had the highest predictive accuracy. Compared with climate variables, biotic interactions typically had stronger effects on diameter growth, especially when subjected to nonadditivities from local climatic conditions and the density of intermediary species. Furthermore, statistically strong (or weak) nonadditivities could be biologically irrelevant (or significant) depending on whether a species pair typically interacted under average or more extreme conditions. Our study highlights the importance of considering both the statistical potential and the biological relevance of nonadditive biotic interactions when assessing species performance under global change.
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- 2024
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182. Author Correction: A global biodiversity observing system to unite monitoring and guide action.
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Gonzalez A, Vihervaara P, Balvanera P, Bates AE, Bayraktarov E, Bellingham PJ, Bruder A, Campbell J, Catchen MD, Cavender-Bares J, Chase J, Coops N, Costello MJ, Czúcz B, Delavaud A, Dornelas M, Dubois G, Duffy EJ, Eggermont H, Fernandez M, Fernandez N, Ferrier S, Geller GN, Gill M, Gravel D, Guerra CA, Guralnick R, Harfoot M, Hirsch T, Hoban S, Hughes AC, Hugo W, Hunter ME, Isbell F, Jetz W, Juergens N, Kissling WD, Krug CB, Kullberg P, Le Bras Y, Leung B, Londoño-Murcia MC, Lord JM, Loreau M, Luers A, Ma K, MacDonald AJ, Maes J, McGeoch M, Mihoub JB, Millette KL, Molnar Z, Montes E, Mori AS, Muller-Karger FE, Muraoka H, Nakaoka M, Navarro L, Newbold T, Niamir A, Obura D, O'Connor M, Paganini M, Pelletier D, Pereira H, Poisot T, Pollock LJ, Purvis A, Radulovici A, Rocchini D, Roeoesli C, Schaepman M, Schaepman-Strub G, Schmeller DS, Schmiedel U, Schneider FD, Shakya MM, Skidmore A, Skowno AL, Takeuchi Y, Tuanmu MN, Turak E, Turner W, Urban MC, Urbina-Cardona N, Valbuena R, Van de Putte A, van Havre B, Wingate VR, Wright E, and Torrelio CZ
- Published
- 2023
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183. A global biodiversity observing system to unite monitoring and guide action.
- Author
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Gonzalez A, Vihervaara P, Balvanera P, Bates AE, Bayraktarov E, Bellingham PJ, Bruder A, Campbell J, Catchen MD, Cavender-Bares J, Chase J, Coops N, Costello MJ, Czúcz B, Delavaud A, Dornelas M, Dubois G, Duffy EJ, Eggermont H, Fernandez M, Fernandez N, Ferrier S, Geller GN, Gill M, Gravel D, Guerra CA, Guralnick R, Harfoot M, Hirsch T, Hoban S, Hughes AC, Hugo W, Hunter ME, Isbell F, Jetz W, Juergens N, Kissling WD, Krug CB, Kullberg P, Le Bras Y, Leung B, Londoño-Murcia MC, Lord JM, Loreau M, Luers A, Ma K, MacDonald AJ, Maes J, McGeoch M, Mihoub JB, Millette KL, Molnar Z, Montes E, Mori AS, Muller-Karger FE, Muraoka H, Nakaoka M, Navarro L, Newbold T, Niamir A, Obura D, O'Connor M, Paganini M, Pelletier D, Pereira H, Poisot T, Pollock LJ, Purvis A, Radulovici A, Rocchini D, Roeoesli C, Schaepman M, Schaepman-Strub G, Schmeller DS, Schmiedel U, Schneider FD, Shakya MM, Skidmore A, Skowno AL, Takeuchi Y, Tuanmu MN, Turak E, Turner W, Urban MC, Urbina-Cardona N, Valbuena R, Van de Putte A, van Havre B, Wingate VR, Wright E, and Torrelio CZ
- Subjects
- Biodiversity, Ecosystem
- Published
- 2023
- Full Text
- View/download PDF
184. Long-term exclusion of invasive ungulates alters tree recruitment and functional traits but not total forest carbon.
- Author
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Allen K, Bellingham PJ, Richardson SJ, Allen RB, Burrows LE, Carswell FE, Husheer SW, St John MG, and Peltzer DA
- Subjects
- Animals, Ecosystem, Carbon, Forests, Trees, Deer
- Abstract
Forests are major carbon (C) sinks, but their ability to sequester C and thus mitigate climate change, varies with the environment, disturbance regime, and biotic interactions. Herbivory by invasive, nonnative ungulates can have profound ecosystem effects, yet its consequences for forest C stocks remain poorly understood. We determined the impact of invasive ungulates on C pools, both above- and belowground (to 30 cm), and on forest structure and diversity using 26 paired long-term (>20 years) ungulate exclosures and adjacent unfenced control plots located in native temperate rainforests across New Zealand, spanning 36-41° S. Total ecosystem C was similar between ungulate exclosure (299.93 ± 25.94 Mg C ha
-1 ) and unfenced control (324.60 ± 38.39 Mg C ha-1 ) plots. Most (60%) variation in total ecosystem C was explained by the biomass of the largest tree (mean diameter at breast height [dbh]: 88 cm) within each plot. Ungulate exclusion increased the abundance and diversity of saplings and small trees (dbh ≥2.5, <10 cm) compared with unfenced controls, but these accounted for ~5% of total ecosystem C, demonstrating that a few, large trees dominate the total forest ecosystem C but are unaffected by invasive ungulates at a timescale of 20-50 years. However, changes in understory C pools, species composition, and functional diversity did occur following long-term ungulate exclusion. Our findings suggest that, although the removal of invasive herbivores may not affect total forest C at the decadal scale, major shifts in the diversity and composition of regenerating species will have longer term consequences for ecosystem processes and forest C., (© 2023 The Authors. Ecological Applications published by Wiley Periodicals LLC on behalf of The Ecological Society of America.)- Published
- 2023
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- View/download PDF
185. Phylogenetic classification of the world's tropical forests.
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Slik JWF, Franklin J, Arroyo-Rodríguez V, Field R, Aguilar S, Aguirre N, Ahumada J, Aiba SI, Alves LF, K A, Avella A, Mora F, Aymard C GA, Báez S, Balvanera P, Bastian ML, Bastin JF, Bellingham PJ, van den Berg E, da Conceição Bispo P, Boeckx P, Boehning-Gaese K, Bongers F, Boyle B, Brambach F, Brearley FQ, Brown S, Chai SL, Chazdon RL, Chen S, Chhang P, Chuyong G, Ewango C, Coronado IM, Cristóbal-Azkarate J, Culmsee H, Damas K, Dattaraja HS, Davidar P, DeWalt SJ, Din H, Drake DR, Duque A, Durigan G, Eichhorn K, Eler ES, Enoki T, Ensslin A, Fandohan AB, Farwig N, Feeley KJ, Fischer M, Forshed O, Garcia QS, Garkoti SC, Gillespie TW, Gillet JF, Gonmadje C, Granzow-de la Cerda I, Griffith DM, Grogan J, Hakeem KR, Harris DJ, Harrison RD, Hector A, Hemp A, Homeier J, Hussain MS, Ibarra-Manríquez G, Hanum IF, Imai N, Jansen PA, Joly CA, Joseph S, Kartawinata K, Kearsley E, Kelly DL, Kessler M, Killeen TJ, Kooyman RM, Laumonier Y, Laurance SG, Laurance WF, Lawes MJ, Letcher SG, Lindsell J, Lovett J, Lozada J, Lu X, Lykke AM, Mahmud KB, Mahayani NPD, Mansor A, Marshall AR, Martin EH, Calderado Leal Matos D, Meave JA, Melo FPL, Mendoza ZHA, Metali F, Medjibe VP, Metzger JP, Metzker T, Mohandass D, Munguía-Rosas MA, Muñoz R, Nurtjahy E, de Oliveira EL, Onrizal, Parolin P, Parren M, Parthasarathy N, Paudel E, Perez R, Pérez-García EA, Pommer U, Poorter L, Qie L, Piedade MTF, Pinto JRR, Poulsen AD, Poulsen JR, Powers JS, Prasad RC, Puyravaud JP, Rangel O, Reitsma J, Rocha DSB, Rolim S, Rovero F, Rozak A, Ruokolainen K, Rutishauser E, Rutten G, Mohd Said MN, Saiter FZ, Saner P, Santos B, Dos Santos JR, Sarker SK, Schmitt CB, Schoengart J, Schulze M, Sheil D, Sist P, Souza AF, Spironello WR, Sposito T, Steinmetz R, Stevart T, Suganuma MS, Sukri R, Sultana A, Sukumar R, Sunderland T, Supriyadi, Suresh HS, Suzuki E, Tabarelli M, Tang J, Tanner EVJ, Targhetta N, Theilade I, Thomas D, Timberlake J, de Morisson Valeriano M, van Valkenburg J, Van Do T, Van Sam H, Vandermeer JH, Verbeeck H, Vetaas OR, Adekunle V, Vieira SA, Webb CO, Webb EL, Whitfeld T, Wich S, Williams J, Wiser S, Wittmann F, Yang X, Adou Yao CY, Yap SL, Zahawi RA, Zakaria R, and Zang R
- Subjects
- Biodiversity, Conservation of Natural Resources, Environmental Monitoring, Forests, Phylogeny, Plants classification, Plants genetics, Tropical Climate
- Abstract
Knowledge about the biogeographic affinities of the world's tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world's tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: ( i ) Indo-Pacific, ( ii ) Subtropical, ( iii ) African, ( iv ) American, and ( v ) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northern-hemisphere forests., Competing Interests: Conflict of interest statement: V.A.-R., K.B.-G., B.B., F.Q.B., N.F., M.K., W.F.L., S. G. Letcher, C.B.S., D.S., T. Stevart, and S. Wiser have coauthored papers with Jens-Christian Svenning in the past 48 months. A.M.L. and Jens-Christian Svenning are both affiliated with Aarhus University., (Copyright © 2018 the Author(s). Published by PNAS.)
- Published
- 2018
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186. Burrowing seabird effects on invertebrate communities in soil and litter are dominated by ecosystem engineering rather than nutrient addition.
- Author
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Orwin KH, Wardle DA, Towns DR, St John MG, Bellingham PJ, Jones C, Fitzgerald BM, Parrish RG, and Lyver PO
- Subjects
- Animals, Food Chain, Islands, New Zealand, Population Dynamics, Birds, Ecosystem, Feeding Behavior, Invertebrates, Plants, Predatory Behavior, Soil chemistry
- Abstract
Vertebrate consumers can be important drivers of the structure and functioning of ecosystems, including the soil and litter invertebrate communities that drive many ecosystem processes. Burrowing seabirds, as prevalent vertebrate consumers, have the potential to impact consumptive effects via adding marine nutrients to soil (i.e. resource subsidies) and non-consumptive effects via soil disturbance associated with excavating burrows (i.e. ecosystem engineering). However, the exact mechanisms by which they influence invertebrates are poorly understood. We examined how soil chemistry and plant and invertebrate communities changed across a gradient of seabird burrow density on two islands in northern New Zealand. Increasing seabird burrow density was associated with increased soil nutrient availability and changes in plant community structure and the abundance of nearly all the measured invertebrate groups. Increasing seabird densities had a negative effect on invertebrates that were strongly influenced by soil-surface litter, a positive effect on fungal-feeding invertebrates, and variable effects on invertebrate groups with diverse feeding strategies. Gastropoda and Araneae species richness and composition were also influenced by seabird activity. Generalized multilevel path analysis revealed that invertebrate responses were strongly driven by seabird engineering effects, via increased soil disturbance, reduced soil-surface litter, and changes in trophic interactions. Almost no significant effects of resource subsidies were detected. Our results show that seabirds, and in particular their non-consumptive effects, were significant drivers of invertebrate food web structure. Reductions in seabird populations, due to predation and human activity, may therefore have far-reaching consequences for the functioning of these ecosystems.
- Published
- 2016
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- View/download PDF
187. An estimate of the number of tropical tree species.
- Author
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Slik JW, Arroyo-Rodríguez V, Aiba S, Alvarez-Loayza P, Alves LF, Ashton P, Balvanera P, Bastian ML, Bellingham PJ, van den Berg E, Bernacci L, da Conceição Bispo P, Blanc L, Böhning-Gaese K, Boeckx P, Bongers F, Boyle B, Bradford M, Brearley FQ, Breuer-Ndoundou Hockemba M, Bunyavejchewin S, Calderado Leal Matos D, Castillo-Santiago M, Catharino EL, Chai SL, Chen Y, Colwell RK, Chazdon RL, Clark C, Clark DB, Clark DA, Culmsee H, Damas K, Dattaraja HS, Dauby G, Davidar P, DeWalt SJ, Doucet JL, Duque A, Durigan G, Eichhorn KA, Eisenlohr PV, Eler E, Ewango C, Farwig N, Feeley KJ, Ferreira L, Field R, de Oliveira Filho AT, Fletcher C, Forshed O, Franco G, Fredriksson G, Gillespie T, Gillet JF, Amarnath G, Griffith DM, Grogan J, Gunatilleke N, Harris D, Harrison R, Hector A, Homeier J, Imai N, Itoh A, Jansen PA, Joly CA, de Jong BH, Kartawinata K, Kearsley E, Kelly DL, Kenfack D, Kessler M, Kitayama K, Kooyman R, Larney E, Laumonier Y, Laurance S, Laurance WF, Lawes MJ, Amaral IL, Letcher SG, Lindsell J, Lu X, Mansor A, Marjokorpi A, Martin EH, Meilby H, Melo FP, Metcalfe DJ, Medjibe VP, Metzger JP, Millet J, Mohandass D, Montero JC, de Morisson Valeriano M, Mugerwa B, Nagamasu H, Nilus R, Ochoa-Gaona S, Onrizal, Page N, Parolin P, Parren M, Parthasarathy N, Paudel E, Permana A, Piedade MT, Pitman NC, Poorter L, Poulsen AD, Poulsen J, Powers J, Prasad RC, Puyravaud JP, Razafimahaimodison JC, Reitsma J, Dos Santos JR, Roberto Spironello W, Romero-Saltos H, Rovero F, Rozak AH, Ruokolainen K, Rutishauser E, Saiter F, Saner P, Santos BA, Santos F, Sarker SK, Satdichanh M, Schmitt CB, Schöngart J, Schulze M, Suganuma MS, Sheil D, da Silva Pinheiro E, Sist P, Stevart T, Sukumar R, Sun IF, Sunderland T, Suresh HS, Suzuki E, Tabarelli M, Tang J, Targhetta N, Theilade I, Thomas DW, Tchouto P, Hurtado J, Valencia R, van Valkenburg JL, Van Do T, Vasquez R, Verbeeck H, Adekunle V, Vieira SA, Webb CO, Whitfeld T, Wich SA, Williams J, Wittmann F, Wöll H, Yang X, Adou Yao CY, Yap SL, Yoneda T, Zahawi RA, Zakaria R, Zang R, de Assis RL, Garcia Luize B, and Venticinque EM
- Subjects
- Conservation of Natural Resources, Databases, Factual, Ecosystem, Phylogeography, Rainforest, Species Specificity, Statistics, Nonparametric, Biodiversity, Forests, Trees classification, Tropical Climate
- Abstract
The high species richness of tropical forests has long been recognized, yet there remains substantial uncertainty regarding the actual number of tropical tree species. Using a pantropical tree inventory database from closed canopy forests, consisting of 657,630 trees belonging to 11,371 species, we use a fitted value of Fisher's alpha and an approximate pantropical stem total to estimate the minimum number of tropical forest tree species to fall between ∼ 40,000 and ∼ 53,000, i.e., at the high end of previous estimates. Contrary to common assumption, the Indo-Pacific region was found to be as species-rich as the Neotropics, with both regions having a minimum of ∼ 19,000-25,000 tree species. Continental Africa is relatively depauperate with a minimum of ∼ 4,500-6,000 tree species. Very few species are shared among the African, American, and the Indo-Pacific regions. We provide a methodological framework for estimating species richness in trees that may help refine species richness estimates of tree-dependent taxa.
- Published
- 2015
- Full Text
- View/download PDF
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