89 results on '"Burban, Benoit"'
Search Results
52. Drought stress recovery of hydraulic and photochemical processes in Neotropical tree saplings.
- Author
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Manzi, Olivier Jean Leonce, Bellifa, Maxime, Ziegler, Camille, Mihle, Louis, Levionnois, Sébastien, Burban, Benoit, Leroy, Céline, Coste, Sabrina, and Stahl, Clément
- Subjects
DROUGHT management ,LEAF anatomy ,PLANT indicators ,ATMOSPHERIC models ,TROPICAL forests ,ELECTRON transport ,DROUGHTS - Abstract
Climate models predict an increase in the severity and the frequency of droughts. Tropical forests are among the ecosystems that could be highly impacted by these droughts. Here, we explore how hydraulic and photochemical processes respond to drought stress and re-watering. We conducted a pot experiment on saplings of five tree species. Before the onset of drought, we measured a set of hydraulic traits, including minimum leaf conductance, leaf embolism resistance and turgor loss point. During drought stress, we monitored traits linked to leaf hydraulic functioning (leaf water potential (ψ
md ) and stomatal conductance (gs )) and traits linked to leaf photochemical functioning (maximum quantum yield of photosystem II (Fv / Fm ) and maximum electron transport rate (ETRmax )) at different wilting stages. After re-watering, the same traits were measured after 3, 7 and 14 days. Hydraulic trait values decreased faster than photochemical trait values. After re-watering, the values of the four traits recovered at different rates. Fv / Fm recovered very fast close to their initial values only 3 days after re-watering. This was followed by ETRmax , Ψmd and gs . Finally, we show that species with large stomatal and leaf safety margin and low πtlp are not strongly impacted by drought, whereas they have a low recovery on photochemical efficiency. These results demonstrate that πtlp , stomatal and leaf safety margin are a good indicators of plant responses to drought stress and also to recovery for photochemical efficiency. [ABSTRACT FROM AUTHOR]- Published
- 2022
- Full Text
- View/download PDF
53. Interannual and Seasonal Variations in Ecosystem Transpiration and Water Use Efficiency in a Tropical Rainforest
- Author
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Aguilos, Maricar, Stahl, Clement, Burban, Benoit, Herault, Bruno, Courtois, Elodie, Coste, Sabrina, Wagner, Fabien, Ziegler, Camille, Takagi, Kentaro, Bonal, Damien, Aguilos, Maricar, Stahl, Clement, Burban, Benoit, Herault, Bruno, Courtois, Elodie, Coste, Sabrina, Wagner, Fabien, Ziegler, Camille, Takagi, Kentaro, and Bonal, Damien
- Abstract
Warmer and drier climates over Amazonia have been predicted for the next century with expected changes in regional water and carbon cycles. We examined the impact of interannual and seasonal variations in climate conditions on ecosystem-level evapotranspiration (ET) and water use efficiency (WUE) to determine key climatic drivers and anticipate the response of these ecosystems to climate change. We used daily climate and eddyflux data recorded at the Guyaflux site in French Guiana from 2004 to 2014. ET and WUE exhibited weak interannual variability. The main climatic driver of ET and WUE was global radiation (Rg), but relative extractable water (REW) and soil temperature (Ts) did also contribute. At the seasonal scale, ET and WUE showed a modal pattern driven by Rg, with maximum values for ET in July and August and for WUE at the beginning of the year. By removing radiation effects during water depleted periods, we showed that soil water stress strongly reduced ET. In contrast, drought conditions enhanced radiation-normalized WUE in almost all the years, suggesting that the lack of soil water had a more severe effect on ecosystem evapotranspiration than on photosynthesis. Our results are of major concern for tropical ecosystem modeling because they suggest that under future climate conditions, tropical forest ecosystems will be able to simultaneously adjust CO2 and H2O fluxes. Yet, for tropical forests under future conditions, the direction of change in WUE at the ecosystem scale is hard to predict, since the impact of radiation on WUE is counterbalanced by adjustments to soil water limitations. Developing mechanistic models that fully integrate the processes associated with CO2 and H2O flux control should help researchers understand and simulate future functional adjustments in these ecosystems.
- Published
- 2019
- Full Text
- View/download PDF
54. The pan-tropical response of soil moisture to El Niño
- Author
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Solander, Kurt C., primary, Newman, Brent D., additional, Carioca de Aruajo, Alessandro, additional, Barnard, Holly R., additional, Berry, Z. Carter, additional, Bonal, Damien, additional, Bretfeld, Mario, additional, Burban, Benoit, additional, Antonio Candido, Luiz, additional, Célleri, Rolando, additional, Chambers, Jeffery Q., additional, Christoffersen, Bradley O., additional, Detto, Matteo, additional, Dorigo, Wouter A., additional, Ewers, Brent E., additional, José Filgueiras Ferreira, Savio, additional, Knohl, Alexander, additional, Leung, L. Ruby, additional, McDowell, Nate G., additional, Miller, Gretchen R., additional, Terezinha Ferreira Monteiro, Maria, additional, Moore, Georgianne W., additional, Negron-Juarez, Robinson, additional, Saleska, Scott R., additional, Stiegler, Christian, additional, Tomasella, Javier, additional, and Xu, Chonggang, additional
- Published
- 2019
- Full Text
- View/download PDF
55. Supplementary material to "The biophysics, ecology, and biogeochemistry of functionally diverse, vertically- and horizontally-heterogeneous ecosystems: the Ecosystem Demography Model, version 2.2 – Part 2: Model evaluation"
- Author
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Longo, Marcos, primary, Knox, Ryan G., additional, Levine, Naomi M., additional, Swann, Abigail L. S., additional, Medvigy, David M., additional, Dietze, Michael C., additional, Kim, Yeonjoo, additional, Zhang, Ke, additional, Bonal, Damien, additional, Burban, Benoit, additional, Camargo, Plinio B., additional, Hayek, Matthew N., additional, Saleska, Scott R., additional, da Silva, Rodrigo, additional, Bras, Rafael L., additional, Wofsy, Steven C., additional, and Moorcroft, Paul R., additional
- Published
- 2019
- Full Text
- View/download PDF
56. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically- and horizontally-heterogeneous ecosystems: the Ecosystem Demography Model, version 2.2 – Part 2: Model evaluation
- Author
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Longo, Marcos, primary, Knox, Ryan G., additional, Levine, Naomi M., additional, Swann, Abigail L. S., additional, Medvigy, David M., additional, Dietze, Michael C., additional, Kim, Yeonjoo, additional, Zhang, Ke, additional, Bonal, Damien, additional, Burban, Benoit, additional, Camargo, Plinio B., additional, Hayek, Matthew N., additional, Saleska, Scott R., additional, da Silva, Rodrigo, additional, Bras, Rafael L., additional, Wofsy, Steven C., additional, and Moorcroft, Paul R., additional
- Published
- 2019
- Full Text
- View/download PDF
57. Liana and tree below-ground water competition—evidence for water resource partitioning during the dry season
- Author
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De Deurwaerder, Hannes, Hervé-Fernández, Pedro, Stahl, Clément, Burban, Benoit, Petronelli, Pascal, Hoffman, Bruce, Bonal, Damien, Boeckx, Pascal, Verbeeck, Hans, De Deurwaerder, Hannes, Hervé-Fernández, Pedro, Stahl, Clément, Burban, Benoit, Petronelli, Pascal, Hoffman, Bruce, Bonal, Damien, Boeckx, Pascal, and Verbeeck, Hans
- Abstract
To date, reasons for the increase in liana abundance and biomass in the Neotropics are still unclear. One proposed hypothesis suggests that lianas, in comparison with trees, are more adaptable to drought conditions. Moreover, previous studies have assumed that lianas have a deeper root system, which provides access to deeper soil layers, thereby making them less susceptible to drought stress. The dual stable water isotope approach (δ18O and δ2H) enables below-ground vegetation competition for water to be studied. Based on the occurrence of a natural gradient in soil water isotopic signatures, with enriched signatures in shallow soil relative to deep soil, the origin of vegetation water sources can be derived. Our study was performed on canopy trees and lianas reaching canopy level in tropical forests of French Guiana. Our results show liana xylem water isotopic signatures to be enriched in heavy isotopes in comparison with those from trees, indicating differences in water source depths and a more superficial root activity for lianas during the dry season. This enables them to efficiently capture dry season precipitation. Our study does not support the liana deep root water extraction hypothesis. Additionally, we provide new insights into water competition between tropical canopy lianas and trees. Results suggest that this competition is mitigated during the dry season due to water resource partitioning.
- Published
- 2018
58. Tree mortality and Extreme Rainfall in the Amazon
- Author
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Negron Juarez, Robinson I., Magnabosco Marra, Daniel, Jenkins, Hillary S., Fonseca Aleixo, Izabela, Barbosa, Antenor, Derroire, Géraldine, Holm, Jennifer, Herault, Bruno, Rutishauser, Ervan, Burban, Benoit, Bonal, Damien, Christianson, Danielle S., Faybishenko, Boris, Matteo, Detto, De Araujo, Alessandro C., Peterson, Chris J., Nogueira Lima, Adriano Jose, Higuchi, Niro, Riley, James J., Chambers, Jeffrey Q., Negron Juarez, Robinson I., Magnabosco Marra, Daniel, Jenkins, Hillary S., Fonseca Aleixo, Izabela, Barbosa, Antenor, Derroire, Géraldine, Holm, Jennifer, Herault, Bruno, Rutishauser, Ervan, Burban, Benoit, Bonal, Damien, Christianson, Danielle S., Faybishenko, Boris, Matteo, Detto, De Araujo, Alessandro C., Peterson, Chris J., Nogueira Lima, Adriano Jose, Higuchi, Niro, Riley, James J., and Chambers, Jeffrey Q.
- Abstract
Mesoscale Convective Systems (MCS) are responsible for severe rainfall in the Amazon and can produce strong descending winds that can uprooting or break trees the most dominant mode of tree mortality in the Amazon. Our results show that severe rainfall help to explain the observed residence time of woody biomass and tree mortality in the Amazon.
- Published
- 2018
59. Reconsidérer les rôles agronomiques de l’élevage dans la contribution à l’adaptation et l’atténuation du changement climatique. L’exemple emblématique de l’Amazonie française (la Guyane)
- Author
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Blanfort, Vincent, Klumpp, Katja, Fontaine, Sébastien, Picon-Cochard, Catherine, Burban, Benoit, Darsonville, Olivier, Lecomte, Philippe, Stahl, Clément, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), and Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)
- Subjects
changement climatique ,agronomie ,[SDE.MCG]Environmental Sciences/Global Changes ,guyane française ,Milieux et Changements globaux ,élevage ,global change - Abstract
Reconsidérer les rôles agronomiques de l’élevage dans la contribution à l’adaptation et l’atténuation du changement climatique. L’exemple emblématique de l’Amazonie française (la Guyane). . Réseau prairies – Symposium 2017
- Published
- 2017
60. The pan-tropical response of soil moisture to El Niño.
- Author
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Solander, Kurt C., Newman, Brent D., de Aruajo, Alessandro Carioca, Barnard, Holly R., Berry, Z. Carter, Bonal, Damien, Bretfeld, Mario, Burban, Benoit, Candido, Luiz Antonio, Célleri, Rolando, Chambers, Jeffery Q., Christoffersen, Bradley O., Detto, Matteo, Dorigo, Wouter A., Ewers, Brent E., Ferreira, Savio José Filgueiras, Knohl, Alexander, Leung, L. Ruby, McDowell, Nate G., and Miller, Gretchen R.
- Abstract
The 2015-16 El Niño event ranks as one of the most severe on record in terms of the magnitude and extent of sea surface temperature (SST) anomalies generated in the tropical Pacific Ocean. Corresponding global impacts on the climate were expected to rival, or even surpass, those of the 1997-98 severe El Niño event, which had SST anomalies that were similar in size. However, the 2015-16 event failed to meet expectations for hydrologic change in many areas, including those expected to receive well above normal precipitation. To better understand how climate anomalies during an El Niño event impact soil moisture, we investigate changes in soil moisture in the humid tropics (between ±25°) during the three most recent super El Niño events of 1982-83, 1997-98, and 2015-16, using data from the Global Land Data Assimilation System (GLDAS). First, we validate the soil moisture estimates from GLDAS through comparison with in-situ observations obtained from 16 sites across five continents, showing an r² of 0.54. Next, we apply a k-means cluster analysis to the soil moisture estimates during the El Niño mature phase, resulting in four groups of clustered data. The strongest and most consistent decreases in soil moisture occur in the Amazon basin and maritime southeast Asia, while the most consistent increases occur over east Africa. In addition, we compare changes in soil moisture to both precipitation and evapotranspiration, which showed a lack of agreement in the direction of change between these variables and soil moisture most prominently in the southern Amazon basin, Sahel and mainland southeast Asia. Our results can be used to improve estimates of spatiotemporal differences in El Niño impacts on soil moisture in tropical hydrology and ecosystem models at multiple scales. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
61. Interannual and Seasonal Variations in Ecosystem Transpiration and Water Use Efficiency in a Tropical Rainforest
- Author
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Aguilos, Maricar, primary, Stahl, Clément, additional, Burban, Benoit, additional, Hérault, Bruno, additional, Courtois, Elodie, additional, Coste, Sabrina, additional, Wagner, Fabien, additional, Ziegler, Camille, additional, Takagi, Kentaro, additional, and Bonal, Damien, additional
- Published
- 2018
- Full Text
- View/download PDF
62. Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest
- Author
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Courtois, Elodie Alice, primary, Stahl, Clément, additional, Burban, Benoit, additional, Van den Berge, Joke, additional, Berveiller, Daniel, additional, Bréchet, Laëtitia, additional, Soong, Jennifer Larned, additional, Arriga, Nicola, additional, Peñuelas, Josep, additional, and Janssens, Ivan August, additional
- Published
- 2018
- Full Text
- View/download PDF
63. Liana and tree below-ground water competition—evidence for water resource partitioning during the dry season
- Author
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De Deurwaerder, Hannes, primary, Hervé-Fernández, Pedro, additional, Stahl, Clément, additional, Burban, Benoit, additional, Petronelli, Pascal, additional, Hoffman, Bruce, additional, Bonal, Damien, additional, Boeckx, Pascal, additional, and Verbeeck, Hans, additional
- Published
- 2018
- Full Text
- View/download PDF
64. Response to Editor to the comment by Schipper & Smith to our paper entitled “Continuous soil carbon storage of old permanent pastures in Amazonia”
- Author
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Fontaine, Sébastien, primary, Stahl, Clément, additional, Klumpp, Katja, additional, Picon‐Cochard, Catherine, additional, Grise, Marcia M., additional, Dezécache, Camille, additional, Ponchant, Lise, additional, Freycon, Vincent, additional, Blanc, Lilian, additional, Bonal, Damien, additional, Burban, Benoit, additional, Soussana, Jean‐François, additional, Blanfort, Vincent, additional, and Alvarez, Gaël, additional
- Published
- 2018
- Full Text
- View/download PDF
65. What drives the interannual variations in carbon fluxes and balance in a tropical rainforest of French Guiana?
- Author
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Aguilos, Maricar, Burban, Benoit, Wagner, Fabien, Bruno Herault, and Bonal, Damien
- Abstract
Amazon rainforest – a major contributor to the global carbon sink, is not on steady state and this affects terrestrial carbon pools. Yet, information on the effect of climatic extremes to long-term carbon fluxes is lacking. Thus, using an 11-year eddy covariance data, we examined the carbon fluxes and net carbon uptake in French Guiana's tropical rainforest to determine the interannual and seasonal variations in gross primary production (GPP), ecosystem respiration (RE) and net ecosystem exchange (NEE), so with climatic drivers influencing such changes from 2004 – 2014. GPP varies from 3394.9 g C m‒2 yr‒1 to 4054.5 g C m‒2 yr‒1. RE is more varied than GPP (3057.4 g C m‒2 yr‒1 − 3425.9 g C m‒2 yr‒1. NEE has large interannual variability from ‒68.2 g C m‒2 yr‒1 to ‒596.2 g C m‒2 yr‒1. NEE during wet seasons had higher sink strength than in dry periods. The sudden drop of RE during wet period in 2007 – 2009 may help explain this as it almost doubled the net uptake while GPP had slighter declines. The pattern of NEE appears to be driven by higher rate of increase in RE during dry season with less comparable rise in GPP. This suggests that over 11 years, the ecosystem did not suffer any extreme dry condition strong enough to induce severe decrease in RE. Annually, global radiation (Rg) explains 49% (P
- Published
- 2016
66. Continuous soil carbon storage of old permanent pastures in Amazonia
- Author
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Stahl, Clément, primary, Fontaine, Sébastien, additional, Klumpp, Katja, additional, Picon‐Cochard, Catherine, additional, Grise, Marcia Mascarenhas, additional, Dezécache, Camille, additional, Ponchant, Lise, additional, Freycon, Vincent, additional, Blanc, Lilian, additional, Bonal, Damien, additional, Burban, Benoit, additional, Soussana, Jean‐François, additional, and Blanfort, Vincent, additional
- Published
- 2016
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67. There's no place like home: seedling mortality contributes to the habitat specialisation of tree species across Amazonia
- Author
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Fortunel, Claire, primary, Paine, C. E. Timothy, additional, Fine, Paul V. A., additional, Mesones, Italo, additional, Goret, Jean‐Yves, additional, Burban, Benoit, additional, Cazal, Jocelyn, additional, and Baraloto, Christopher, additional
- Published
- 2016
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68. Scaling leaf respiration with nitrogen and phosphorus in tropical forests across two continents
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Rowland, Lucy, primary, Zaragoza‐Castells, Joana, additional, Bloomfield, Keith J., additional, Turnbull, Matthew H., additional, Bonal, Damien, additional, Burban, Benoit, additional, Salinas, Norma, additional, Cosio, Eric, additional, Metcalfe, Daniel J., additional, Ford, Andrew, additional, Phillips, Oliver L., additional, Atkin, Owen K., additional, and Meir, Patrick, additional
- Published
- 2016
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- View/download PDF
69. The effect of drought on carbon storage capacity in a tropical rainforest in French Guiana
- Author
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Aguilos, Maricar, Burban, Benoit, Herault, Bruno, Goret, Jean-Yves, Cazal, Jocelyn, Bonal, Damien, Aguilos, Maricar, Burban, Benoit, Herault, Bruno, Goret, Jean-Yves, Cazal, Jocelyn, and Bonal, Damien
- Abstract
In a perfect-deficit approach (Yi, 2012), the daily maximum carbon storage capacity (CPC) of a given ecosystem for each year defines the perfect annual CPC curve. Deficits are the differences in the daily observational data for a given year against a perfect curve. The area between this curve and instantaneous canopy photosynthetic rates represents the potential productivity. Using an 11-year (2004 – 2014) eddy covariance flux and meteorological data, this perfect-deficit approach was used to examine the relationship between potential productivity and droughts occurring in 2005 and 2010 in a tropical rainforest of French Guiana, South America. Surprisingly, CPC deficits were only reduced by 24% (2005) and 19% (2010) from their respective perfect CPCs, indicating a subtle effect of drought to ecosystem productivity. Highest precipitation occurred in 2010 but precipitation deficits dropped drastically during this year (71% reduction from its perfect value) which reflects a drought condition. However, its deficits showed no correlation annually and seasonally. Soil water content (SWC) appeared to be the single driver for CPC deficits during long dry periods but is weakly correlated (r = 0.30; P <0.01 and r = 0.31; P <0.01, in 2005 and 2010, respectively). These results indicate that soil water is not a major limiting factor for productivity of this ecosystem during drought periods. In contrast, global radiation (Rg) corresponds to the peak of CPC deficits in 2010, but only 19% had been reduced from its ideal value. Yet, highest gross primary production (GPP) of 4106±231 gCm−2yr−1 occurred this year (mean 3753±231 gCm−2yr−1). Therefore, smaller deficits in Rg coupled with sufficient water may have induced higher productivity in 2010. Nevertheless, weaker correlations between potential productivity and climatic drivers may imply that other controlling aspects such as biological constraints may also have an effect to the dynamics of potential productivity during drought e
- Published
- 2015
70. The oak gene expression atlas: insights into Fagaceae genome evolution and the discovery of genes regulated during bud dormancy release
- Author
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Lesur, Isabelle, Le Provost, Grégoire, Bento, Pascal, Da Silva, Corinne, Leplé, Jean-Charles, Murat, Florent, Ueno, Saneyoshi, Bartholomé, Jérôme, Lalanne, Céline, Ehrenmann, François, Noirot, Céline, Burban, Benoit, Léger, Valérie, Amselem, Joelle, Belser, Caroline, Quesneville, Hadi, Stierschneider, Michael, Fluch, Silvia, Feldhahn, Lasse, Tarkka, Mika, Herrmann, Sylvie, Buscot, François, Klopp, Christophe, Kremer, Antoine, Salse, Jérôme, Aury, Jean-Marc, Plomion, Christophe, Lesur, Isabelle, Le Provost, Grégoire, Bento, Pascal, Da Silva, Corinne, Leplé, Jean-Charles, Murat, Florent, Ueno, Saneyoshi, Bartholomé, Jérôme, Lalanne, Céline, Ehrenmann, François, Noirot, Céline, Burban, Benoit, Léger, Valérie, Amselem, Joelle, Belser, Caroline, Quesneville, Hadi, Stierschneider, Michael, Fluch, Silvia, Feldhahn, Lasse, Tarkka, Mika, Herrmann, Sylvie, Buscot, François, Klopp, Christophe, Kremer, Antoine, Salse, Jérôme, Aury, Jean-Marc, and Plomion, Christophe
- Abstract
Background: Many northern-hemisphere forests are dominated by oaks. These species extend over diverse environmental conditions and are thus interesting models for studies of plant adaptation and speciation. The genomic toolbox is an important asset for exploring the functional variation associated with natural selection. Results: The assembly of previously available and newly developed long and short sequence reads for two sympatric oak species, Quercus robur and Quercus petraea, generated a comprehensive catalog of transcripts for oak. The functional annotation of 91 k contigs demonstrated the presence of a large proportion of plant genes in this unigene set. Comparisons with SwissProt accessions and five plant gene models revealed orthologous relationships, making it possible to decipher the evolution of the oak genome. In particular, it was possible to align 9.5 thousand oak coding sequences with the equivalent sequences on peach chromosomes. Finally, RNA-seq data shed new light on the gene networks underlying vegetative bud dormancy release, a key stage in development allowing plants to adapt their phenology to the environment. Conclusion: In addition to providing a vast array of expressed genes, this study generated essential information about oak genome evolution and the regulation of genes associated with vegetative bud phenology, an important adaptive traits in trees. This resource contributes to the annotation of the oak genome sequence and will provide support for forward genetics approaches aiming to link genotypes with adaptive phenotypes.
- Published
- 2015
71. Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest.
- Author
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Courtois, Elodie Alice, Stahl, Clément, Burban, Benoit, Van den Berge, Joke, Berveiller, Daniel, Bréchet, Laëtitia, Soong, Jennifer Larned, Arriga, Nicola, Peñuelas, Josep, and Janssens, Ivan August
- Subjects
TROPICAL forests ,GREENHOUSE gases ,CARBON dioxide & the environment ,ATMOSPHERIC nitrous oxide ,METHANE content of soils - Abstract
Measuring in situ soil fluxes of carbon dioxide (CO
2 ), methane (CH4 ), and nitrous oxide (N2 O) continuously at high frequency requires appropriate technology. We tested the combination of a commercial automated soil CO2 flux chamber system (LI-8100A) with a CH4 and N2 O analyzer (Picarro G2308) in a tropical rainforest for 4 months. A chamber closure time of 2 minutes was sufficient for a reliable estimation of CO2 and CH4 fluxes (100% and 98.5% of fluxes were above Minimum Detectable Flux - MDF, respectively). This closure time was generally not suitable for a reliable estimation of the low N2 O fluxes in this ecosystem but was sufficient for detecting rare major peak events. A closure time of 25 minutes was more appropriate for reliable estimation of most N2 O fluxes (85.6% of measured fluxes are above MDF ± 0.002 nmol m-2 s-1 ). Our study highlights the importance of adjusted closure time for each gas. [ABSTRACT FROM AUTHOR]- Published
- 2018
- Full Text
- View/download PDF
72. Liana and tree below-ground water competition--evidence for water resource partitioning during the dry season.
- Author
-
Deurwaerder, Hannes De, Hervé-Fernández, Pedro, Stahl, Clément, Burban, Benoit, Petronelli, Pascal, Hoffman, Bruce, Bonal, Damien, Boeckx, Pascal, and Verbeeck, Hans
- Subjects
LIANAS ,CLIMBING plants ,DROUGHT-tolerant plants ,WATER supply - Abstract
To date, reasons for the increase in liana abundance and biomass in the Neotropics are still unclear. One proposed hypothesis suggests that lianas, in comparison with trees, are more adaptable to drought conditions. Moreover, previous studies have assumed that lianas have a deeper root system, which provides access to deeper soil layers, thereby making them less susceptible to drought stress. The dual stable water isotope approach (δ
18 O and δ²H) enables below-ground vegetation competition for water to be studied. Based on the occurrence of a natural gradient in soil water isotopic signatures, with enriched signatures in shallow soil relative to deep soil, the origin of vegetation water sources can be derived. Our study was performed on canopy trees and lianas reaching canopy level in tropical forests of French Guiana. Our results show liana xylem water isotopic signatures to be enriched in heavy isotopes in comparison with those from trees, indicating differences in water source depths and a more superficial root activity for lianas during the dry season. This enables them to efficiently capture dry season precipitation. Our study does not support the liana deep root water extraction hypothesis. Additionally, we provide new insights into water competition between tropical canopy lianas and trees. Results suggest that this competition is mitigated during the dry season due to water resource partitioning. [ABSTRACT FROM AUTHOR]- Published
- 2018
- Full Text
- View/download PDF
73. Temporal Coherence of Tropical Forests at P-Band: Dry and Rainy Seasons
- Author
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Hamadi, Alia, primary, Borderies, Pierre, additional, Albinet, Clement, additional, Koleck, Thierry, additional, Villard, Ludovic, additional, Ho Tong Minh, Dinh, additional, Le Toan, Thuy, additional, and Burban, Benoit, additional
- Published
- 2015
- Full Text
- View/download PDF
74. Evidence for strong seasonality in the carbon storage and carbon use efficiency of an Amazonian forest
- Author
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Rowland, Lucy, Hill, Timothy Charles, Stahl, C, Siebicke, L, BURBAN, BENOIT, Zaragoza-Castells, Joana, PONTON, STEPHANE, Bonal, D, Meir, Patrick, Williams, Mathew, Rowland, Lucy, Hill, Timothy Charles, Stahl, C, Siebicke, L, BURBAN, BENOIT, Zaragoza-Castells, Joana, PONTON, STEPHANE, Bonal, D, Meir, Patrick, and Williams, Mathew
- Abstract
The relative contribution of gross primary production and ecosystem respiration to seasonal changes in the net carbon flux of tropical forests remains poorly quantified by both modelling and field studies. We use data assimilation to combine nine ecological time series from an eastern Amazonian forest, with mass balance constraints from an ecosystem carbon cycle model. The resulting analysis quantifies, with uncertainty estimates, the seasonal changes in the net carbon flux of a tropical rainforest which experiences a pronounced dry season. We show that the carbon accumulation in this forest was four times greater in the dry season than in the wet season and that this was accompanied by a 5% increase in the carbon use efficiency. This seasonal response was caused by a dry season increase in gross primary productivity, in response to radiation and a similar magnitude decrease in heterotrophic respiration, in response to drying soils. The analysis also predicts increased carbon allocation to leaves and wood in the wet season, and greater allocation to fine roots in the dry season. This study demonstrates implementation of seasonal variations in parameters better enables models to simulate observed patterns in data. In particular, we highlight the necessity to simulate the seasonal patterns of heterotrophic respiration to accurately simulate the net carbon flux seasonal tropical forest.
- Published
- 2014
75. Continuous soil carbon storage of old permanent pastures in Amazonia.
- Author
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Stahl, Clément, Fontaine, Sébastien, Klumpp, Katja, Picon‐Cochard, Catherine, Grise, Marcia Mascarenhas, Dezécache, Camille, Ponchant, Lise, Freycon, Vincent, Blanc, Lilian, Bonal, Damien, Burban, Benoit, Soussana, Jean‐François, and Blanfort, Vincent
- Subjects
MEASUREMENT of carbon in soils ,CARBON in soils ,CARBON sequestration in forests ,BIOMASS - Abstract
Amazonian forests continuously accumulate carbon (C) in biomass and in soil, representing a carbon sink of 0.42-0.65 GtC yr
−1 . In recent decades, more than 15% of Amazonian forests have been converted into pastures, resulting in net C emissions (~200 tC ha−1 ) due to biomass burning and litter mineralization in the first years after deforestation. However, little is known about the capacity of tropical pastures to restore a C sink. Our study shows in French Amazonia that the C storage observed in native forest can be partly restored in old (≥24 year) tropical pastures managed with a low stocking rate (±1 LSU ha−1 ) and without the use of fire since their establishment. A unique combination of a large chronosequence study and eddy covariance measurements showed that pastures stored between −1.27 ± 0.37 and −5.31 ± 2.08 tC ha−1 yr−1 while the nearby native forest stored −3.31 ± 0.44 tC ha−1 yr−1 . This carbon is mainly sequestered in the humus of deep soil layers (20-100 cm), whereas no C storage was observed in the 0- to 20-cm layer. C storage in C4 tropical pasture is associated with the installation and development of C3 species, which increase either the input of N to the ecosystem or the C:N ratio of soil organic matter. Efforts to curb deforestation remain an obvious priority to preserve forest C stocks and biodiversity. However, our results show that if sustainable management is applied in tropical pastures coming from deforestation (avoiding fires and overgrazing, using a grazing rotation plan and a mixture of C3 and C4 species), they can ensure a continuous C storage, thereby adding to the current C sink of Amazonian forests. [ABSTRACT FROM AUTHOR]- Published
- 2017
- Full Text
- View/download PDF
76. Scaling leaf respiration with nitrogen and phosphorus in tropical forests across two continents.
- Author
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Rowland, Lucy, Zaragoza‐Castells, Joana, Bloomfield, Keith J., Turnbull, Matthew H., Bonal, Damien, Burban, Benoit, Salinas, Norma, Cosio, Eric, Metcalfe, Daniel J., Ford, Andrew, Phillips, Oliver L., Atkin, Owen K., and Meir, Patrick
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TROPICAL forests ,SOIL fertility ,PLANT indicators ,BIOFORTIFICATION ,RESPIRATION in plants - Abstract
Leaf dark respiration ( R
dark ) represents an important component controlling the carbon balance in tropical forests. Here, we test how nitrogen (N) and phosphorus (P) affect Rdark and its relationship with photosynthesis using three widely separated tropical forests which differ in soil fertility., Rdark was measured on 431 rainforest canopy trees, from 182 species, in French Guiana, Peru and Australia. The variation in Rdark was examined in relation to leaf N and P content, leaf structure and maximum photosynthetic rates at ambient and saturating atmospheric CO2 concentration., We found that the site with the lowest fertility (French Guiana) exhibited greater rates of Rdark per unit leaf N, P and photosynthesis. The data from Australia, for which there were no phylogenetic overlaps with the samples from the South American sites, yielded the most distinct relationships of Rdark with the measured leaf traits., Our data indicate that no single universal scaling relationship accounts for variation in Rdark across this large biogeographical space. Variability between sites in the absolute rates of Rdark and the Rdark : photosynthesis ratio were driven by variations in N- and P-use efficiency, which were related to both taxonomic and environmental variability. [ABSTRACT FROM AUTHOR]- Published
- 2017
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77. Evidence for strong seasonality in the carbon storage and carbon use efficiency of an Amazonian forest
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Rowland, Lucy, primary, Hill, Timothy Charles, additional, Stahl, Clement, additional, Siebicke, Lukas, additional, Burban, Benoit, additional, Zaragoza-Castells, Joana, additional, Ponton, Stephane, additional, Bonal, Damien, additional, Meir, Patrick, additional, and Williams, Mathew, additional
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- 2014
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78. Influence of Seasonal Variations in Soil Water Availability on Gas Exchange of Tropical Canopy Trees
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Stahl, Clément, primary, Burban, Benoit, additional, Wagner, Fabien, additional, Goret, Jean-Yves, additional, Bompy, Félix, additional, and Bonal, Damien, additional
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- 2012
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79. Shifting trait coordination along a soil‐moisture‐nutrient gradient in tropical forests.
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Boisseaux, Marion, Nemetschek, Daniela, Baraloto, Christopher, Burban, Benoit, Casado‐Garcia, Angela, Cazal, Jocelyn, Clément, Jeanne, Derroire, Géraldine, Fortunel, Claire, Goret, Jean‐Yves, Heras, Jonathan, Jaouen, Gaelle, Maréchaux, Isabelle, Scoffoni, Christine, Vieilledent, Ghislain, Vleminckx, Jason, Coste, Sabrina, Schimann, Heidy, and Stahl, Clément
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- *
PHYSIOLOGY , *SPECIES distribution , *PRINCIPAL components analysis , *WATER supply , *SOIL moisture , *TROPICAL forests - Abstract
Soil nutrients and water availability are strong drivers of tropical tree species distribution across scales. However, the physiological mechanisms underlying environmental filtering along these gradients remain incompletely understood. Previous studies mostly focused on univariate variation in structural traits, but a more integrative approach combining multiple physiological traits is needed to fully portray species functional strategies. We measured nine leaf functional traits related to trees' resource capture and hydraulic strategies for 552 individuals belonging to 21 tropical tree species across an environmental gradient in Amazonian forests. Our sampling included generalist and specialist species from terra firme (TF) and seasonally flooded (SF) forests. We tested the influence of the topographic wetness index, a proxy for soil moisture and nutrient gradients, on each trait separately and on the trait integration through multivariate indices computed from the eigenvalues of a principal component analysis on the traits of the species. Finally, we evaluated intraspecific trait variability (ITV) for generalists and specialists by calculating the coefficient of variation for each trait. Results showed that (1) the environment had a greater influence on trait syndromes than single trait variation. Moreover, (2) SF specialist species expressed a stronger leaf trait coordination than TF specialist species. Furthermore, (3) the ability of generalist species to occupy a broader range of environments was not reflected by a larger ITV than specialist species but by the capacity to change trait coordination across environments. Our work highlights the need to investigate functional strategies as multidimensional syndromes in physiological trait space to fully understand and predict species distribution along environmental gradients. Read the free Plain Language Summary for this article on the Journal blog. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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80. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
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Pastorello, Gilberto Z., Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle S., Cheah, Youwei, Poindexter, Cristina M., Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Ribeca, Alessio, van Ingen, Catharine, Zhang, Leiming, Amiro, Brian D., Ammann, Christoph, Arain, Muhammad A., Ardö, Jonas, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis D., Barr, Alan G., Beamesderfer, Eric R., Marchesini, Luca B., Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, David P., Black, Thomas A., Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason J., Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Cremonese, Edoardo, Curtis, Peter S., D'Andrea, Ettore, da Rocha, Humberto R., Dai, Xiaoqin, Davis, Kenneth J., de Cinti, Bruno, De Grandcourt, Agnès, De Ligne, Anne, de Oliveira Jr., Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Di Bella, Carlos M., Di Tommasi, Paul, Dolman, Han A.J., Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Éric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim A.M., Eugster, Werner, Ewenz, Cäcilia, Ewers, Brent E., Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew J., Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly A., Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher, Hanson, Chad V., Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernhard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay B., Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczyński, Marcin, Janous, Dalibor, Jans, Wilma W.P., Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Hansen, Birger Ulf, Knohl, Alexander, Knox, Sara H., Kobayashi, Hideki, Koerber, Georgia R., Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew S., Kruijt, Bart, Kurbatova, Juliya, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean M., Lion, Marryanna, Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje M., Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William J., Mastepanov, Mikhail, Matamala, Roser, Matthes, Jaclyn H., Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M.S., Merbold, Lutz, Meyer, Wayne S., Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin, Moors, Eddy J., Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo D., Nouvellon, Yann, Novick, Kimberly A., Oechel, Walter C., Olesen, Jorgen E., Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan W., Paul-Limoges, Eugénie, Pavelka, Marián, Peichl, Matthias, Pendall, Elise G., Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas L., Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Üllar, Raz-Yaseef, Naama, Reed, David E., Resco de Dios, Victor, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans P., Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Scott, Russell L., Sedlák, Pavel, Serrano-Ortiz, Penelope, Shao, Changliang, Shi, Peili, Shironya, Ivan I., Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert, Sturtevant, Cove S., Suyker, Andrew E., Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel J., Thom, Jonathan, Tiedemann, Frank, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, Van Der Molen, Michiel K., van Gorsel, Eva, van Huissteden, Ko J., Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natascha N., Walker, Jeffrey, Walter-Shea, Elizabeth A., Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven C., Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William L., Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deborah A., Biraud, Sébastien C., Torn, Margaret S., and Papale, Dario
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13. Climate action ,15. Life on land - Abstract
The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible., Scientific Data, 7, ISSN:2052-4463
81. Tree mortality and Extreme Rainfall in the Amazon
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Negron Juarez, Robinson I., Magnabosco Marra, Daniel, Jenkins, Hillary S., Fonseca Aleixo, Izabela, Barbosa, Antenor, Derroire, Géraldine, Holm, Jennifer, Bruno Herault, Rutishauser, Ervan, Burban, Benoit, Bonal, Damien, Christianson, Danielle S., Faybishenko, Boris, Matteo, Detto, Araujo, Alessandro C., Peterson, Chris J., Nogueira Lima, Adriano Jose, Higuchi, Niro, Riley, James J., and Chambers, Jeffrey Q.
- Abstract
Mesoscale Convective Systems (MCS) are responsible for severe rainfall in the Amazon and can produce strong descending winds that can uprooting or break trees the most dominant mode of tree mortality in the Amazon. Our results show that severe rainfall help to explain the observed residence time of woody biomass and tree mortality in the Amazon.
82. Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements
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Harper, Anna B., Williams, Karina E., McGuire, Patrick C., Duran Rojas, Maria Carolina, Hemming, Debbie, Verhoef, Anne, Huntingford, Chris, Rowland, Lucy, Marthews, Toby, Breder Eller, Cleiton, Mathison, Camilla, Nobrega, Rodolfo L.B., Gedney, Nicola, Vidale, Pier Luigi, Otu-Larbi, Fred, Pandey, Divya, Garrigues, Sebastien, Wright, Azin, Slevin, Darren, De Kauwe, Martin G., Blyth, Eleanor, Ardö, Jonas, Black, Andrew, Bonal, Damien, Buchmann, Nina, Burban, Benoit, Fuchs, Kathrin, De Grandcourt, Agnès, Mammarella, Ivan, Merbold, Lutz, Montagnani, Leonardo, Nouvellon, Yann, Restrepo-Coupe, Natalia, and Wohlfahrt, Georg
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13. Climate action - Abstract
Drought is predicted to increase in the future due to climate change, bringing with it myriad impacts on ecosystems. Plants respond to drier soils by reducing stomatal conductance in order to conserve water and avoid hydraulic damage. Despite the importance of plant drought responses for the global carbon cycle and local and regional climate feedbacks, land surface models are unable to capture observed plant responses to soil moisture stress. We assessed the impact of soil moisture stress on simulated gross primary productivity (GPP) and latent energy flux (LE) in the Joint UK Land Environment Simulator (JULES) vn4.9 on seasonal and annual timescales and evaluated 10 different representations of soil moisture stress in the model. For the default configuration, GPP was more realistic in temperate biome sites than in the tropics or high-latitude (cold-region) sites, while LE was best simulated in temperate and high-latitude (cold) sites. Errors that were not due to soil moisture stress, possibly linked to phenology, contributed to model biases for GPP in tropical savanna and deciduous forest sites. We found that three alternative approaches to calculating soil moisture stress produced more realistic results than the default parameterization for most biomes and climates. All of these involved increasing the number of soil layers from 4 to 14 and the soil depth from 3.0 to 10.8 m. In addition, we found improvements when soil matric potential replaced volumetric water content in the stress equation (the “soil14_psi” experiments), when the critical threshold value for inducing soil moisture stress was reduced (“soil14_p0”), and when plants were able to access soil moisture in deeper soil layers (“soil14_dr*2”). For LE, the biases were highest in the default configuration in temperate mixed forests, with overestimation occurring during most of the year. At these sites, reducing soil moisture stress (with the new parameterizations mentioned above) increased LE and increased model biases but improved the simulated seasonal cycle and brought the monthly variance closer to the measured variance of LE. Further evaluation of the reason for the high bias in LE at many of the sites would enable improvements in both carbon and energy fluxes with new parameterizations for soil moisture stress. Increasing the soil depth and plant access to deep soil moisture improved many aspects of the simulations, and we recommend these settings in future work using JULES or as a general way to improve land surface carbon and water fluxes in other models. In addition, using soil matric potential presents the opportunity to include plant functional type-specific parameters to further improve modeled fluxes., Geoscientific Model Development, 14 (6), ISSN:1991-9603, ISSN:1991-959X
83. The effect of drought on carbon storage capacity in a tropical rainforest in French Guiana
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Aguilos, Maricar, Burban, Benoit, Bruno Herault, Goret, Jean-Yves, Cazal, Jocelyn, and Bonal, Damien
- Abstract
In a perfect-deficit approach (Yi, 2012), the daily maximum carbon storage capacity (CPC) of a given ecosystem for each year defines the perfect annual CPC curve. Deficits are the differences in the daily observational data for a given year against a perfect curve. The area between this curve and instantaneous canopy photosynthetic rates represents the potential productivity. Using an 11-year (2004 – 2014) eddy covariance flux and meteorological data, this perfect-deficit approach was used to examine the relationship between potential productivity and droughts occurring in 2005 and 2010 in a tropical rainforest of French Guiana, South America. Surprisingly, CPC deficits were only reduced by 24% (2005) and 19% (2010) from their respective perfect CPCs, indicating a subtle effect of drought to ecosystem productivity. Highest precipitation occurred in 2010 but precipitation deficits dropped drastically during this year (71% reduction from its perfect value) which reflects a drought condition. However, its deficits showed no correlation annually and seasonally. Soil water content (SWC) appeared to be the single driver for CPC deficits during long dry periods but is weakly correlated (r = 0.30; P
84. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
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Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You-Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Ribeca, Alessio, Van Ingen, Catharine, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Arain, M. Altaf, Ardö, Jonas, Arkebauer, Timothy, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Marchesini, Luca Belelli, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas Andrew, Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason, Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Coursolle, Carole, Cremonese, Edoardo, Curtis, Peter S., D’Andrea, Ettore, Da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth J., De Cinti, Bruno, De Grandcourt, Agnes, De Ligne, Anne, De Oliveira, Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Di Bella, Carlos Marcelo, Di Tommasi, Paul, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Eric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M., Eugster, Werner, Ewenz, Cacilia M., Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly, Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher M., Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Hansen, Birger Ulf, Hanson, Chad, Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay, Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczynski, Marcin, Janouš, Dalibor, Jans, Wilma, Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Knohl, Alexander, Knox, Sara, Kobayashi, Hideki, Koerber, Georgia, Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew, Kruijt, Bart, Kurbatova, Julia, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean-Marc, Lion, Marryanna, Liska, Adam J., Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje, Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William, Mastepanov, Mikhail, Matamala, Roser, Matthes, Jaclyn Hatala, Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M. S., Merbold, Lutz, Meyer, Wayne, Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin E., Moors, Eddy, Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo, Nouvellon, Yann, Novick, Kimberly, Oechel, Walter, Olesen, Jørgen Eivind, Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan, Paul-Limoges, Eugenie, Pavelka, Marian, Peichl, Matthias, Pendall, Elise, Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas, Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Üllar, Raz-Yaseef, Naama, Reed, David, De Dios, Victor Resco, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans Peter, Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Schroder, Ivan, Scott, Russell L., Sedlák, Pavel, Serrano-Ortíz, Penélope, Shao, Changliang, Shi, Peili, Shironya, Ivan, Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert M., Sturtevant, Cove, Suyker, Andy, Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel, Thom, Jonathan, Tiedemann, Frank, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, Van Der Molen, Michiel, Van Gorsel, Eva, Van Huissteden, Ko, Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natalia, Walker, Jeffrey P., Walter-Shea, Elizabeth, Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven, Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William, Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deb, Biraud, Sebastien, Torn, Margaret, and Papale, Dario
- Subjects
13. Climate action ,15. Life on land - Abstract
The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
85. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
- Author
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Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You-Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Ribeca, Alessio, van Ingen, Catharine, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Arain, M. Altaf, Ardö, Jonas, Arkebauer, Timothy, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Marchesini, Luca Belelli, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas A., Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason, Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Coursolle, Carole, Cremonese, Edoardo, Curtis, Peter S., D’Andrea, Ettore, da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth J., De Cinti, Bruno, de Grandcourt, Agnes, De Ligne, Anne, De Oliveira, Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Marcelo Di Bella, Carlos, di Tommasi, Paul, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Eric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M., Eugster, Werner, Ewenz, Cacilia M., Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly, Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher M., Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Ulf Hansen, Birger, Hanson, Chad, Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay, Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczynski, Marcin, Janouš, Dalibor, Jans, Wilma, Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Knohl, Alexander, Knox, Sara, Kobayashi, Hideki, Koerber, Georgia, Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew, Kruijt, Bart, Kurbatova, Julia, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean-Marc, Lion, Marryanna, Liska, Adam J., Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje, Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William, Mastepanov, Mikhail, Matamala, Roser, Hatala Matthes, Jaclyn, Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M. S., Merbold, Lutz, Meyer, Wayne, Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin E., Moors, Eddy, Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo, Nouvellon, Yann, Novick, Kimberly, Oechel, Walter, Eivind Olesen, Jørgen, Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan, Paul-Limoges, Eugenie, Pavelka, Marian, Peichl, Matthias, Pendall, Elise, Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas, Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Ülla, Raz-Yaseef, Naama, Reed, David, Resco de Dios, Victor, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans Peter, Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Schroder, Ivan, Scott, Russell L., Sedlák, Pavel, Serrano-Ortíz, Penélope, Shao, Changliang, Shi, Peili, Shironya, Ivan, Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert M., Sturtevant, Cove, Suyker, Andy, Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel, Thom, Jonathan, Tiedemann, Frank, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, van der Molen, Michiel, van Gorsel, Eva, van Huissteden, Ko, Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natalia, Walker, Jeffrey P., Walter-Shea, Elizabeth, Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven, Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William, Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deb, Biraud, Sebastien, Torn, Margaret, Papale, Dario, Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You-Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Ribeca, Alessio, van Ingen, Catharine, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Arain, M. Altaf, Ardö, Jonas, Arkebauer, Timothy, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Marchesini, Luca Belelli, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas A., Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason, Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Coursolle, Carole, Cremonese, Edoardo, Curtis, Peter S., D’Andrea, Ettore, da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth J., De Cinti, Bruno, de Grandcourt, Agnes, De Ligne, Anne, De Oliveira, Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Marcelo Di Bella, Carlos, di Tommasi, Paul, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Eric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M., Eugster, Werner, Ewenz, Cacilia M., Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly, Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher M., Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Ulf Hansen, Birger, Hanson, Chad, Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay, Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczynski, Marcin, Janouš, Dalibor, Jans, Wilma, Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Knohl, Alexander, Knox, Sara, Kobayashi, Hideki, Koerber, Georgia, Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew, Kruijt, Bart, Kurbatova, Julia, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean-Marc, Lion, Marryanna, Liska, Adam J., Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje, Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William, Mastepanov, Mikhail, Matamala, Roser, Hatala Matthes, Jaclyn, Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M. S., Merbold, Lutz, Meyer, Wayne, Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin E., Moors, Eddy, Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo, Nouvellon, Yann, Novick, Kimberly, Oechel, Walter, Eivind Olesen, Jørgen, Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan, Paul-Limoges, Eugenie, Pavelka, Marian, Peichl, Matthias, Pendall, Elise, Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas, Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Ülla, Raz-Yaseef, Naama, Reed, David, Resco de Dios, Victor, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans Peter, Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Schroder, Ivan, Scott, Russell L., Sedlák, Pavel, Serrano-Ortíz, Penélope, Shao, Changliang, Shi, Peili, Shironya, Ivan, Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert M., Sturtevant, Cove, Suyker, Andy, Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel, Thom, Jonathan, Tiedemann, Frank, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, van der Molen, Michiel, van Gorsel, Eva, van Huissteden, Ko, Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natalia, Walker, Jeffrey P., Walter-Shea, Elizabeth, Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven, Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William, Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deb, Biraud, Sebastien, Torn, Margaret, and Papale, Dario
- Abstract
Pastorello, G., Trotta, C., Canfora, E., Chu, H., Christianson, D., Cheah, Y. W., … Papale, D. (2020). The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data, 7, article 225. https://doi.org/10.1038/s41597-020-0534-3
86. Taking the pulse of Earth's tropical forests using networks of highly distributed plots
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ForestPlots.net, Blundo, Cecilia, Carilla, Julieta, Grau, Ricardo, Malizia, Agustina, Malizia, Lucio, Osinaga-Acosta, Oriana, Bird, Michael, Bradford, Matt, Catchpole, Damien, Ford, Andrew, Graham, Andrew, Hilbert, David, Kemp, Jeanette, Laurance, Susan, Laurance, William, Ishida, Francoise Yoko, Marshall, Andrew, Waite, Catherine, Woell, Hannsjoerg, Bastin, Jean-Francois, Bauters, Marijn, Beeckman, Hans, Boeckx, Pfascal, Bogaert, Jan, De Canniere, Charles, de Haulleville, Thales, Doucet, Jean-Louis, Hardy, Olivier, Hubau, Wannes, Kearsley, Elizabeth, Verbeeck, Hans, Vleminckx, Jason, Brewer, Steven W., Alarcón, Alfredo, Araujo-Murakami, Alejandro, Arets, Eric, Arroyo, Luzmila, Chavez, Ezequiel, Fredericksen, Todd, Villaroel, René Guillén, Sibauty, Gloria Gutierrez, Killeen, Timothy, Licona, Juan Carlos, Lleigue, John, Mendoza, Casimiro, Murakami, Samaria, Gutierrez, Alexander Parada, Pardo, Guido, Peña-Claros, Marielos, Poorter, Lourens, Toledo, Marisol, Cayo, Jeanneth Villalobos, Viscarra, Laura Jessica, Vos, Vincent, Ahumada, Jorge, Almeida, Everton, Almeida, Jarcilene, de Oliveira, Edmar Almeida, da Cruz, Wesley Alves, de Oliveira, Atila Alves, Carvalho, Fabrício Alvim, Obermuller, Flávio Amorim, Andrade, Ana, Carvalho, Fernanda Antunes, Vieira, Simone Aparecida, Aquino, Ana Carla, Aragão, Luiz, Araújo, Ana Claudia, Assis, Marco Antonio, Gomes, Jose Ataliba Mantelli Aboin, Baccaro, Fabrício, de Camargo, Plínio Barbosa, Barni, Paulo, Barroso, Jorcely, Bernacci, Luis Carlos, Bordin, Kauane, de Medeiros, Marcelo Brilhante, Broggio, Igor, Camargo, José Luís, Cardoso, Domingos, Carniello, Maria Antonia, Rochelle, Andre Luis Casarin, Castilho, Carolina, Castro, Antonio Alberto Jorge Farias, Castro, Wendeson, Ribeiro, Sabina Cerruto, Costa, Flávia, de Oliveira, Rodrigo Costa, Coutinho, Italo, Cunha, John, da Costa, Lola, da Costa Ferreira, Lucia, da Costa Silva, Richarlly, da Graça Zacarias Simbine, Marta, de Andrade Kamimura, Vitor, de Lima, Haroldo Cavalcante, de Oliveira Melo, Lia, de Queiroz, Luciano, de Sousa Lima, José Romualdo, do Espírito Santo, Mário, Domingues, Tomas, dos Santos Prestes, Nayane Cristina, Carneiro, Steffan Eduardo Silva, Elias, Fernando, Eliseu, Gabriel, Emilio, Thaise, Farrapo, Camila Laís, Fernandes, Letícia, Ferreira, Gustavo, Ferreira, Joice, Ferreira, Leandro, Ferreira, Socorro, Simon, Marcelo Fragomeni, Freitas, Maria Aparecida, García, Queila S., Manzatto, Angelo Gilberto, Graça, Paulo, Guilherme, Frederico, Hase, Eduardo, Higuchi, Niro, Iguatemy, Mariana, Barbosa, Reinaldo Imbrozio, Jaramillo, Margarita, Joly, Carlos, Klipel, Joice, do Amaral, Iêda Leão, Levis, Carolina, Lima, Antonio S., Dan, Maurício Lima, Lopes, Aline, Madeiros, Herison, Magnusson, William E., dos Santos, Rubens Manoel, Marimon, Beatriz, Junior, Ben Hur Marimon, Grillo, Roberta Marotti Martelletti, Martinelli, Luiz, Reis, Simone Matias, Medeiros, Salomão, Meira-Junior, Milton, Metzker, Thiago, Morandi, Paulo, do Nascimento, Natanael Moreira, Moura, Magna, Müller, Sandra Cristina, Nagy, Laszlo, Nascimento, Henrique, Nascimento, Marcelo, Lima, Adriano Nogueira, de Araújo, Raimunda Oliveira, Silva, Jhonathan Oliveira, Pansonato, Marcelo, Sabino, Gabriel Pavan, de Abreu, Karla Maria Pedra, Rodrigues, Pablo José Francisco Pena, Piedade, Maria, Rodrigues, Domingos, Rodrigues Pinto, José Roberto, Quesada, Carlos, Ramos, Eliana, Ramos, Rafael, Rodrigues, Priscyla, de Sousa, Thaiane Rodrigues, Salomão, Rafael, Santana, Flávia, Scaranello, Marcos, Bergamin, Rodrigo Scarton, Schietti, Juliana, Schöngart, Jochen, Schwartz, Gustavo, Silva, Natalino, Silveira, Marcos, Seixas, Cristiana Simão, Simbine, Marta, Souza, Ana Claudia, Souza, Priscila, Souza, Rodolfo, Sposito, Tereza, Junior, Edson Stefani, do Vale, Julio Daniel, Vieira, Ima Célia Guimarães, Villela, Dora, Vital, Marcos, Xaud, Haron, Zanini, Katia, Zartman, Charles Eugene, Ideris, Nur Khalish Hafizhah, Metali, Faizah binti Hj, Salim, Kamariah Abu, Saparudin, Muhd Shahruney, Serudin, Rafizah Mat, Sukri, Rahayu Sukmaria, Begne, Serge, Chuyong, George, Djuikouo, Marie Noel, Gonmadje, Christelle, Simo-Droissart, Murielle, Sonké, Bonaventure, Taedoumg, Hermann, Zemagho, Lise, Thomas, Sean, Baya, Fidèle, Saiz, Gustavo, Espejo, Javier Silva, Chen, Dexiang, Hamilton, Alan, Li, Yide, Luo, Tushou, Niu, Shukui, Xu, Han, Zhou, Zhang, Álvarez-Dávila, Esteban, Escobar, Juan Carlos Andrés, Arellano-Peña, Henry, Duarte, Jaime Cabezas, Calderón, Jhon, Bravo, Lina Maria Corrales, Cuadrado, Borish, Cuadros, Hermes, Duque, Alvaro, Duque, Luisa Fernanda, Espinosa, Sandra Milena, Franke-Ante, Rebeca, García, Hernando, Gómez, Alejandro, González-M., Roy, Idárraga-Piedrahíta, Álvaro, Jimenez, Eliana, Jurado, Rubén, Oviedo, Wilmar López, López-Camacho, René, Cruz, Omar Aurelio Melo, Polo, Irina Mendoza, Paky, Edwin, Pérez, Karen, Pijachi, Angel, Pizano, Camila, Prieto, Adriana, Ramos, Laura, Correa, Zorayda Restrepo, Richardson, James, Rodríguez, Elkin, Rodriguez M., Gina M., Rudas, Agustín, Stevenson, Pablo, Chudomelová, Markéta, Dancak, Martin, Hédl, Radim, Lhota, Stanislav, Svatek, Martin, Mukinzi, Jacques, Ewango, Corneille, Hart, Terese, Yakusu, Emmanuel Kasongo, Lisingo, Janvier, Makana, Jean-Remy, Mbayu, Faustin, Toirambe, Benjamin, Mukendi, John Tshibamba, Kvist, Lars, Nebel, Gustav, Báez, Selene, Céron, Carlos, Griffith, Daniel M., Andino, Juan Ernesto Guevara, Neill, David, Palacios, Walter, Peñuela-Mora, Maria Cristina, Rivas-Torres, Gonzalo, Villa, Gorky, Demissie, Sheleme, Gole, Tadesse, Gonfa, Techane, Ruokolainen, Kalle, Baisie, Michel, Bénédet, Fabrice, Betian, Wemo, Bezard, Vincent, Bonal, Damien, Chave, Jerôme, Droissart, Vincent, Gourlet-Fleury, Sylvie, Hladik, Annette, Labrière, Nicolas, Naisso, Pétrus, Réjou-Méchain, Maxime, Sist, Plinio, Blanc, Lilian, Burban, Benoit, Derroire, Géraldine, Dourdain, Aurélie, Stahl, Clement, Bengone, Natacha Nssi, Chezeaux, Eric, Ondo, Fidèle Evouna, Medjibe, Vincent, Mihindou, Vianet, White, Lee, Culmsee, Heike, Rangel, Cristabel Durán, Horna, Viviana, Wittmann, Florian, Adu-Bredu, Stephen, Affum-Baffoe, Kofi, Foli, Ernest, Balinga, Michael, Roopsind, Anand, Singh, James, Thomas, Raquel, Zagt, Roderick, Murthy, Indu K., Kartawinata, Kuswata, Mirmanto, Edi, Priyadi, Hari, Samsoedin, Ismayadi, Sunderland, Terry, Yassir, Ishak, Rovero, Francesco, Vinceti, Barbara, Hérault, Bruno, Aiba, Shin-Ichiro, Kitayama, Kanehiro, Daniels, Armandu, Tuagben, Darlington, Woods, John T., Fitriadi, Muhammad, Karolus, Alexander, Khoon, Kho Lip, Majalap, Noreen, Maycock, Colin, Nilus, Reuben, Tan, Sylvester, Sitoe, Almeida, Coronado G., Indiana, Ojo, Lucas, de Assis, Rafael, Poulsen, Axel Dalberg, Sheil, Douglas, Pezo, Karen Arévalo, Verde, Hans Buttgenbach, Moscoso, Victor Chama, Oroche, Jimmy Cesar Cordova, Valverde, Fernando Cornejo, Medina, Massiel Corrales, Cardozo, Nallaret Davila, de Rutte Corzo, Jano, del Aguila Pasquel, Jhon, Llampazo, Gerardo Flores, Freitas, Luis, Cabrera, Darcy Galiano, Villacorta, Roosevelt García, Cabrera, Karina Garcia, Soria, Diego García, Saboya, Leticia Gatica, Rios, Julio Miguel Grandez, Pizango, Gabriel Hidalgo, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Aedo, Yuri Tomas Huillca, Peña, Jose Luis Marcelo, Mendoza, Abel Monteagudo, Rodriguez, Vanesa Moreano, Vargas, Percy Núñez, Ramos, Sonia Cesarina Palacios, Camacho, Nadir Pallqui, Cruz, Antonio Peña, Arevalo, Freddy Ramirez, Huaymacari, José Reyna, Rodriguez, Carlos Reynel, Paredes, Marcos Antonio Ríos, Bayona, Lily Rodriguez, del Pilar Rojas Gonzales, Rocio, Peña, Maria Elena Rojas, Revilla, Norma Salinas, Shareva, Yahn Carlos Soto, Trujillo, Raul Tupayachi, Gamarra, Luis Valenzuela, Martinez, Rodolfo Vasquez, Arenas, Jim Vega, Amani, Christian, Ifo, Suspense Averti, Bocko, Yannick, Boundja, Patrick, Ekoungoulou, Romeo, Hockemba, Mireille, Nzala, Donatien, Fofanah, Alusine, Taylor, David, Bañares-de Dios, Guillermo, Cayuela, Luis, la Cerda, Íñigo Granzow-de, Macía, Manuel, Stropp, Juliana, Playfair, Maureen, Wortel, Verginia, Gardner, Toby, Muscarella, Robert, Rutishauser, Ervan, Chao, Kuo-Jung, Munishi, Pantaleo, Bánki, Olaf, Bongers, Frans, Boot, Rene, Fredriksson, Gabriella, Reitsma, Jan, ter Steege, Hans, van Andel, Tinde, van de Meer, Peter, van der Hout, Peter, van Nieuwstadt, Mark, van Ulft, Bert, Veenendaal, Elmar, Vernimmen, Ronald, Zuidema, Pieter, Zwerts, Joeri, Akite, Perpetra, Bitariho, Robert, Chapman, Colin, Gerald, Eilu, Leal, Miguel, Mucunguzi, Patrick, Abernethy, Katharine, Alexiades, Miguel, Baker, Timothy R., Banda, Karina, Banin, Lindsay, Barlow, Jos, Bennett, Amy, Berenguer, Erika, Berry, Nicholas, Bird, Neil M., Blackburn, George A., Brearley, Francis, Brienen, Roel, Burslem, David, Carvalho, Lidiany, Cho, Percival, Coelho, Fernanda, Collins, Murray, Coomes, David, Cuni-Sanchez, Aida, Dargie, Greta, Dexter, Kyle, Disney, Mat, Draper, Freddie, Duan, Muying, Esquivel-Muelbert, Adriane, Ewers, Robert, Fadrique, Belen, Fauset, Sophie, Feldpausch, Ted R., França, Filipe, Galbraith, David, Gilpin, Martin, Gloor, Emanuel, Grace, John, Hamer, Keith, Harris, David, Jeffery, Kath, Jucker, Tommaso, Kalamandeen, Michelle, Klitgaard, Bente, Levesley, Aurora, Lewis, Simon L., Lindsell, Jeremy, Lopez-Gonzalez, Gabriela, Lovett, Jon, Malhi, Yadvinder, Marthews, Toby, McIntosh, Emma, Melgaço, Karina, Milliken, William, Mitchard, Edward, Moonlight, Peter, Moore, Sam, Morel, Alexandra, Peacock, Julie, Peh, Kelvin S.-H., Pendry, Colin, Pennington, R. Toby, de Oliveira Pereira, Luciana, Peres, Carlos, Phillips, Oliver L., Pickavance, Georgia, Pugh, Thomas, Qie, Lan, Riutta, Terhi, Roucoux, Katherine, Ryan, Casey, Sarkinen, Tiina, Valeria, Camila Silva, Spracklen, Dominick, Stas, Suzanne, Sullivan, Martin, Swaine, Michael, Talbot, Joey, Taplin, James, van der Heijden, Geertje, Vedovato, Laura, Willcock, Simon, Williams, Mathew, Alves, Luciana, Loayza, Patricia Alvarez, Arellano, Gabriel, Asa, Cheryl, Ashton, Peter, Asner, Gregory, Brncic, Terry, Brown, Foster, Burnham, Robyn, Clark, Connie, Comiskey, James, Damasco, Gabriel, Davies, Stuart, Di Fiore, Tony, Erwin, Terry, Farfan-Rios, William, Hall, Jefferson, Kenfack, David, Lovejoy, Thomas, Martin, Roberta, Montiel, Olga Martha, Pipoly, John, Pitman, Nigel, Poulsen, John, Primack, Richard, Silman, Miles, Steininger, Marc, Swamy, Varun, Terborgh, John, Thomas, Duncan, Umunay, Peter, Uriarte, Maria, Torre, Emilio Vilanova, Wang, Ophelia, Young, Kenneth, Aymard C., Gerardo A., Hernández, Lionel, Fernández, Rafael Herrera, Ramírez-Angulo, Hirma, Salcedo, Pedro, Sanoja, Elio, Serrano, Julio, Torres-Lezama, Armando, Le, Tinh Cong, Le, Trai Trong, Tran, Hieu Dang, ForestPlots.net, Blundo, Cecilia, Carilla, Julieta, Grau, Ricardo, Malizia, Agustina, Malizia, Lucio, Osinaga-Acosta, Oriana, Bird, Michael, Bradford, Matt, Catchpole, Damien, Ford, Andrew, Graham, Andrew, Hilbert, David, Kemp, Jeanette, Laurance, Susan, Laurance, William, Ishida, Francoise Yoko, Marshall, Andrew, Waite, Catherine, Woell, Hannsjoerg, Bastin, Jean-Francois, Bauters, Marijn, Beeckman, Hans, Boeckx, Pfascal, Bogaert, Jan, De Canniere, Charles, de Haulleville, Thales, Doucet, Jean-Louis, Hardy, Olivier, Hubau, Wannes, Kearsley, Elizabeth, Verbeeck, Hans, Vleminckx, Jason, Brewer, Steven W., Alarcón, Alfredo, Araujo-Murakami, Alejandro, Arets, Eric, Arroyo, Luzmila, Chavez, Ezequiel, Fredericksen, Todd, Villaroel, René Guillén, Sibauty, Gloria Gutierrez, Killeen, Timothy, Licona, Juan Carlos, Lleigue, John, Mendoza, Casimiro, Murakami, Samaria, Gutierrez, Alexander Parada, Pardo, Guido, Peña-Claros, Marielos, Poorter, Lourens, Toledo, Marisol, Cayo, Jeanneth Villalobos, Viscarra, Laura Jessica, Vos, Vincent, Ahumada, Jorge, Almeida, Everton, Almeida, Jarcilene, de Oliveira, Edmar Almeida, da Cruz, Wesley Alves, de Oliveira, Atila Alves, Carvalho, Fabrício Alvim, Obermuller, Flávio Amorim, Andrade, Ana, Carvalho, Fernanda Antunes, Vieira, Simone Aparecida, Aquino, Ana Carla, Aragão, Luiz, Araújo, Ana Claudia, Assis, Marco Antonio, Gomes, Jose Ataliba Mantelli Aboin, Baccaro, Fabrício, de Camargo, Plínio Barbosa, Barni, Paulo, Barroso, Jorcely, Bernacci, Luis Carlos, Bordin, Kauane, de Medeiros, Marcelo Brilhante, Broggio, Igor, Camargo, José Luís, Cardoso, Domingos, Carniello, Maria Antonia, Rochelle, Andre Luis Casarin, Castilho, Carolina, Castro, Antonio Alberto Jorge Farias, Castro, Wendeson, Ribeiro, Sabina Cerruto, Costa, Flávia, de Oliveira, Rodrigo Costa, Coutinho, Italo, Cunha, John, da Costa, Lola, da Costa Ferreira, Lucia, da Costa Silva, Richarlly, da Graça Zacarias Simbine, Marta, de Andrade Kamimura, Vitor, de Lima, Haroldo Cavalcante, de Oliveira Melo, Lia, de Queiroz, Luciano, de Sousa Lima, José Romualdo, do Espírito Santo, Mário, Domingues, Tomas, dos Santos Prestes, Nayane Cristina, Carneiro, Steffan Eduardo Silva, Elias, Fernando, Eliseu, Gabriel, Emilio, Thaise, Farrapo, Camila Laís, Fernandes, Letícia, Ferreira, Gustavo, Ferreira, Joice, Ferreira, Leandro, Ferreira, Socorro, Simon, Marcelo Fragomeni, Freitas, Maria Aparecida, García, Queila S., Manzatto, Angelo Gilberto, Graça, Paulo, Guilherme, Frederico, Hase, Eduardo, Higuchi, Niro, Iguatemy, Mariana, Barbosa, Reinaldo Imbrozio, Jaramillo, Margarita, Joly, Carlos, Klipel, Joice, do Amaral, Iêda Leão, Levis, Carolina, Lima, Antonio S., Dan, Maurício Lima, Lopes, Aline, Madeiros, Herison, Magnusson, William E., dos Santos, Rubens Manoel, Marimon, Beatriz, Junior, Ben Hur Marimon, Grillo, Roberta Marotti Martelletti, Martinelli, Luiz, Reis, Simone Matias, Medeiros, Salomão, Meira-Junior, Milton, Metzker, Thiago, Morandi, Paulo, do Nascimento, Natanael Moreira, Moura, Magna, Müller, Sandra Cristina, Nagy, Laszlo, Nascimento, Henrique, Nascimento, Marcelo, Lima, Adriano Nogueira, de Araújo, Raimunda Oliveira, Silva, Jhonathan Oliveira, Pansonato, Marcelo, Sabino, Gabriel Pavan, de Abreu, Karla Maria Pedra, Rodrigues, Pablo José Francisco Pena, Piedade, Maria, Rodrigues, Domingos, Rodrigues Pinto, José Roberto, Quesada, Carlos, Ramos, Eliana, Ramos, Rafael, Rodrigues, Priscyla, de Sousa, Thaiane Rodrigues, Salomão, Rafael, Santana, Flávia, Scaranello, Marcos, Bergamin, Rodrigo Scarton, Schietti, Juliana, Schöngart, Jochen, Schwartz, Gustavo, Silva, Natalino, Silveira, Marcos, Seixas, Cristiana Simão, Simbine, Marta, Souza, Ana Claudia, Souza, Priscila, Souza, Rodolfo, Sposito, Tereza, Junior, Edson Stefani, do Vale, Julio Daniel, Vieira, Ima Célia Guimarães, Villela, Dora, Vital, Marcos, Xaud, Haron, Zanini, Katia, Zartman, Charles Eugene, Ideris, Nur Khalish Hafizhah, Metali, Faizah binti Hj, Salim, Kamariah Abu, Saparudin, Muhd Shahruney, Serudin, Rafizah Mat, Sukri, Rahayu Sukmaria, Begne, Serge, Chuyong, George, Djuikouo, Marie Noel, Gonmadje, Christelle, Simo-Droissart, Murielle, Sonké, Bonaventure, Taedoumg, Hermann, Zemagho, Lise, Thomas, Sean, Baya, Fidèle, Saiz, Gustavo, Espejo, Javier Silva, Chen, Dexiang, Hamilton, Alan, Li, Yide, Luo, Tushou, Niu, Shukui, Xu, Han, Zhou, Zhang, Álvarez-Dávila, Esteban, Escobar, Juan Carlos Andrés, Arellano-Peña, Henry, Duarte, Jaime Cabezas, Calderón, Jhon, Bravo, Lina Maria Corrales, Cuadrado, Borish, Cuadros, Hermes, Duque, Alvaro, Duque, Luisa Fernanda, Espinosa, Sandra Milena, Franke-Ante, Rebeca, García, Hernando, Gómez, Alejandro, González-M., Roy, Idárraga-Piedrahíta, Álvaro, Jimenez, Eliana, Jurado, Rubén, Oviedo, Wilmar López, López-Camacho, René, Cruz, Omar Aurelio Melo, Polo, Irina Mendoza, Paky, Edwin, Pérez, Karen, Pijachi, Angel, Pizano, Camila, Prieto, Adriana, Ramos, Laura, Correa, Zorayda Restrepo, Richardson, James, Rodríguez, Elkin, Rodriguez M., Gina M., Rudas, Agustín, Stevenson, Pablo, Chudomelová, Markéta, Dancak, Martin, Hédl, Radim, Lhota, Stanislav, Svatek, Martin, Mukinzi, Jacques, Ewango, Corneille, Hart, Terese, Yakusu, Emmanuel Kasongo, Lisingo, Janvier, Makana, Jean-Remy, Mbayu, Faustin, Toirambe, Benjamin, Mukendi, John Tshibamba, Kvist, Lars, Nebel, Gustav, Báez, Selene, Céron, Carlos, Griffith, Daniel M., Andino, Juan Ernesto Guevara, Neill, David, Palacios, Walter, Peñuela-Mora, Maria Cristina, Rivas-Torres, Gonzalo, Villa, Gorky, Demissie, Sheleme, Gole, Tadesse, Gonfa, Techane, Ruokolainen, Kalle, Baisie, Michel, Bénédet, Fabrice, Betian, Wemo, Bezard, Vincent, Bonal, Damien, Chave, Jerôme, Droissart, Vincent, Gourlet-Fleury, Sylvie, Hladik, Annette, Labrière, Nicolas, Naisso, Pétrus, Réjou-Méchain, Maxime, Sist, Plinio, Blanc, Lilian, Burban, Benoit, Derroire, Géraldine, Dourdain, Aurélie, Stahl, Clement, Bengone, Natacha Nssi, Chezeaux, Eric, Ondo, Fidèle Evouna, Medjibe, Vincent, Mihindou, Vianet, White, Lee, Culmsee, Heike, Rangel, Cristabel Durán, Horna, Viviana, Wittmann, Florian, Adu-Bredu, Stephen, Affum-Baffoe, Kofi, Foli, Ernest, Balinga, Michael, Roopsind, Anand, Singh, James, Thomas, Raquel, Zagt, Roderick, Murthy, Indu K., Kartawinata, Kuswata, Mirmanto, Edi, Priyadi, Hari, Samsoedin, Ismayadi, Sunderland, Terry, Yassir, Ishak, Rovero, Francesco, Vinceti, Barbara, Hérault, Bruno, Aiba, Shin-Ichiro, Kitayama, Kanehiro, Daniels, Armandu, Tuagben, Darlington, Woods, John T., Fitriadi, Muhammad, Karolus, Alexander, Khoon, Kho Lip, Majalap, Noreen, Maycock, Colin, Nilus, Reuben, Tan, Sylvester, Sitoe, Almeida, Coronado G., Indiana, Ojo, Lucas, de Assis, Rafael, Poulsen, Axel Dalberg, Sheil, Douglas, Pezo, Karen Arévalo, Verde, Hans Buttgenbach, Moscoso, Victor Chama, Oroche, Jimmy Cesar Cordova, Valverde, Fernando Cornejo, Medina, Massiel Corrales, Cardozo, Nallaret Davila, de Rutte Corzo, Jano, del Aguila Pasquel, Jhon, Llampazo, Gerardo Flores, Freitas, Luis, Cabrera, Darcy Galiano, Villacorta, Roosevelt García, Cabrera, Karina Garcia, Soria, Diego García, Saboya, Leticia Gatica, Rios, Julio Miguel Grandez, Pizango, Gabriel Hidalgo, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Aedo, Yuri Tomas Huillca, Peña, Jose Luis Marcelo, Mendoza, Abel Monteagudo, Rodriguez, Vanesa Moreano, Vargas, Percy Núñez, Ramos, Sonia Cesarina Palacios, Camacho, Nadir Pallqui, Cruz, Antonio Peña, Arevalo, Freddy Ramirez, Huaymacari, José Reyna, Rodriguez, Carlos Reynel, Paredes, Marcos Antonio Ríos, Bayona, Lily Rodriguez, del Pilar Rojas Gonzales, Rocio, Peña, Maria Elena Rojas, Revilla, Norma Salinas, Shareva, Yahn Carlos Soto, Trujillo, Raul Tupayachi, Gamarra, Luis Valenzuela, Martinez, Rodolfo Vasquez, Arenas, Jim Vega, Amani, Christian, Ifo, 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Toby, de Oliveira Pereira, Luciana, Peres, Carlos, Phillips, Oliver L., Pickavance, Georgia, Pugh, Thomas, Qie, Lan, Riutta, Terhi, Roucoux, Katherine, Ryan, Casey, Sarkinen, Tiina, Valeria, Camila Silva, Spracklen, Dominick, Stas, Suzanne, Sullivan, Martin, Swaine, Michael, Talbot, Joey, Taplin, James, van der Heijden, Geertje, Vedovato, Laura, Willcock, Simon, Williams, Mathew, Alves, Luciana, Loayza, Patricia Alvarez, Arellano, Gabriel, Asa, Cheryl, Ashton, Peter, Asner, Gregory, Brncic, Terry, Brown, Foster, Burnham, Robyn, Clark, Connie, Comiskey, James, Damasco, Gabriel, Davies, Stuart, Di Fiore, Tony, Erwin, Terry, Farfan-Rios, William, Hall, Jefferson, Kenfack, David, Lovejoy, Thomas, Martin, Roberta, Montiel, Olga Martha, Pipoly, John, Pitman, Nigel, Poulsen, John, Primack, Richard, Silman, Miles, Steininger, Marc, Swamy, Varun, Terborgh, John, Thomas, Duncan, Umunay, Peter, Uriarte, Maria, Torre, Emilio Vilanova, Wang, Ophelia, Young, Kenneth, Aymard C., Gerardo A., Hernández, Lionel, Fernández, Rafael Herrera, Ramírez-Angulo, Hirma, Salcedo, Pedro, Sanoja, Elio, Serrano, Julio, Torres-Lezama, Armando, Le, Tinh Cong, Le, Trai Trong, and Tran, Hieu Dang
- Abstract
Tropical forests are the most diverse and productive ecosystems on Earth. While better understanding of these forests is critical for our collective future, until quite recently efforts to measure and monitor them have been largely disconnected. Networking is essential to discover the answers to questions that transcend borders and the horizons of funding agencies. Here we show how a global community is responding to the challenges of tropical ecosystem research with diverse teams measuring forests tree-by-tree in thousands of long-term plots. We review the major scientific discoveries of this work and show how this process is changing tropical forest science. Our core approach involves linking long-term grassroots initiatives with standardized protocols and data management to generate robust scaled-up results. By connecting tropical researchers and elevating their status, our Social Research Network model recognises the key role of the data originator in scientific discovery. Conceived in 1999 with RAINFOR (South America), our permanent plot networks have been adapted to Africa (AfriTRON) and Southeast Asia (T-FORCES) and widely emulated worldwide. Now these multiple initiatives are integrated via ForestPlots.net cyber-infrastructure, linking colleagues from 54 countries across 24 plot networks. Collectively these are transforming understanding of tropical forests and their biospheric role. Together we have discovered how, where and why forest carbon and biodiversity are responding to climate change, and how they feedback on it. This long-term pan-tropical collaboration has revealed a large long-term carbon sink and its trends, as well as making clear which drivers are most important, which forest processes are affected, where they are changing, what the lags are, and the likely future responses of tropical forests as the climate continues to change. By leveraging a remarkably old technology, plot networks are sparking a very modern revolution in tropical forest sc
87. Long-term thermal sensitivity of Earth’s tropical forests
- Author
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Sullivan, Martin J. P., Lewis, Simon L., Affum-Baffoe, Kofi, Castilho, Carolina, Costa, Flávia, Sanchez, Aida Cuni, Ewango, Corneille E. N., Hubau, Wannes, Marimon, Beatriz, Monteagudo-Mendoza, Abel, Qie, Lan, Sonké, Bonaventure, Martinez, Rodolfo Vasquez, Baker, Timothy R., Brienen, Roel J. W., Feldpausch, Ted R., Galbraith, David, Gloor, Manuel, Malhi, Yadvinder, Aiba, Shin-Ichiro, Alexiades, Miguel N., Almeida, Everton C., de Oliveira, Edmar Almeida, Dávila, Esteban Álvarez, Loayza, Patricia Alvarez, Andrade, Ana, Vieira, Simone Aparecida, Aragão, Luiz E. O. C., Araujo-Murakami, Alejandro, Arets, Eric J. M. M., Arroyo, Luzmila, Ashton, Peter, Aymard C., Gerardo, Baccaro, Fabrício B., Banin, Lindsay F., Baraloto, Christopher, Camargo, Plínio Barbosa, Barlow, Jos, Barroso, Jorcely, Bastin, Jean-François, Batterman, Sarah A., Beeckman, Hans, Begne, Serge K., Bennett, Amy C., Berenguer, Erika, Berry, Nicholas, Blanc, Lilian, Boeckx, Pascal, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Bradford, Matt, Brearley, Francis Q., Brncic, Terry, Brown, Foster, Burban, Benoit, Camargo, José Luís, Castro, Wendeson, Céron, Carlos, Ribeiro, Sabina Cerruto, Moscoso, Victor Chama, Chave, Jerôme, Chezeaux, Eric, Clark, Connie J., de Souza, Fernanda Coelho, Collins, Murray, Comiskey, James A., Valverde, Fernando Cornejo, Medina, Massiel Corrales, da Costa, Lola, Dančák, Martin, Dargie, Greta C., Davies, Stuart, Cardozo, Nallaret Davila, de Haulleville, Thales, de Medeiros, Marcelo Brilhante, del Aguila Pasquel, Jhon, Derroire, Géraldine, Di Fiore, Anthony, Doucet, Jean-Louis, Dourdain, Aurélie, Droissant, Vincent, Duque, Luisa Fernanda, Ekoungoulou, Romeo, Elias, Fernando, Erwin, Terry, Esquivel-Muelbert, Adriane, Fauset, Sophie, Ferreira, Joice, Llampazo, Gerardo Flores, Foli, Ernest, Ford, Andrew, Gilpin, Martin, Hall, Jefferson S., Hamer, Keith C., Hamilton, Alan C., Harris, David J., Hart, Terese B., Hédl, Radim, Herault, Bruno, Herrera, Rafael, Higuchi, Niro, Hladik, Annette, Coronado, Eurídice Honorio, Huamantupa-Chuquimaco, Isau, Huasco, Walter Huaraca, Jeffery, Kathryn J., Jimenez-Rojas, Eliana, Kalamandeen, Michelle, Djuikouo, Marie Noël Kamdem, Kearsley, Elizabeth, Umetsu, Ricardo Keichi, Kho, Lip Khoon, Killeen, Timothy, Kitayama, Kanehiro, Klitgaard, Bente, Koch, Alexander, Labrière, Nicolas, Laurance, William, Laurance, Susan, Leal, Miguel E., Levesley, Aurora, Lima, Adriano J. 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N., Lisingo, Janvier, Lopes, Aline P., Lopez-Gonzalez, Gabriela, Lovejoy, Tom, Lovett, Jon C., Lowe, Richard, Magnusson, William E., Malumbres-Olarte, Jagoba, Manzatto, Ângelo Gilberto, Marimon, Ben Hur, Marshall, Andrew R., Marthews, Toby, de Almeida Reis, Simone Matias, Maycock, Colin, Melgaço, Karina, Mendoza, Casimiro, Metali, Faizah, Mihindou, Vianet, Milliken, William, Mitchard, Edward T. A., Morandi, Paulo S., Mossman, Hannah L., Nagy, Laszlo, Nascimento, Henrique, Neill, David, Nilus, Reuben, Vargas, Percy Núñez, Palacios, Walter, Camacho, Nadir Pallqui, Peacock, Julie, Pendry, Colin, Peñuela Mora, Maria Cristina, Pickavance, Georgia C., Pipoly, John, Pitman, Nigel, Playfair, Maureen, Poorter, Lourens, Poulsen, John R., Poulsen, Axel Dalberg, Preziosi, Richard, Prieto, Adriana, Primack, Richard B., Ramírez-Angulo, Hirma, Reitsma, Jan, Réjou-Méchain, Maxime, Correa, Zorayda Restrepo, de Sousa, Thaiane Rodrigues, Bayona, Lily Rodriguez, Roopsind, Anand, Rudas, Agustín, Rutishauser, Ervan, Abu Salim, Kamariah, Salomão, Rafael P., Schietti, Juliana, Sheil, Douglas, Silva, Richarlly C., Espejo, Javier Silva, Valeria, Camila Silva, Silveira, Marcos, Simo-Droissart, Murielle, Simon, Marcelo Fragomeni, Singh, James, Soto Shareva, Yahn Carlos, Stahl, Clement, Stropp, Juliana, Sukri, Rahayu, Sunderland, Terry, Svátek, Martin, Swaine, Michael D., Swamy, Varun, Taedoumg, Hermann, Talbot, Joey, Taplin, James, Taylor, David, ter Steege, Hans, Terborgh, John, Thomas, Raquel, Thomas, Sean C., Torres-Lezama, Armando, Umunay, Peter, Gamarra, Luis Valenzuela, van der Heijden, Geertje, van der Hout, Peter, van der Meer, Peter, van Nieuwstadt, Mark, Verbeeck, Hans, Vernimmen, Ronald, Vicentini, Alberto, Vieira, Ima Célia Guimarães, Torre, Emilio Vilanova, Vleminckx, Jason, Vos, Vincent, Wang, Ophelia, White, Lee J. T., Willcock, Simon, Woods, John T., Wortel, Verginia, Young, Kenneth, Zagt, Roderick, Zemagho, Lise, Zuidema, Pieter A., Zwerts, Joeri A., and Phillips, Oliver L.
- Abstract
The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (−9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per °C in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth’s climate.
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88. A stable isotopic view on liana and tree competition for soil water during dry and wet season.
- Author
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De Deurwaerder, Hannes, Boeckx, Pascal, Herve, Pedro, Stahl, Clément, Bonal, Damien, Stalmans, Laurence, Vercleyen, Oscar, Burban, Benoit, and Verbeeck, Hans
- Published
- 2018
89. Stocker du carbone dans les sols agricoles et forestiers ultramarins. Synthèse biophysique sur le stockage de carbone dans les sols à La Réunion
- Author
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Fujisaki, Kenji, Demenois, Julien, Albrecht, Alain, Blanfort, Vincent, Blazy, Jean Marc, Avadi Tapia, Angel Daniel, Teste, Adrien, Bréchet, Laëtitia, Brossard, Michel, Burban, Benoit, Chevallier, Tiphaine, Chotte, Jean-Luc, Derroire, Géraldine, Dorel, Marc, Feder, Frédéric, Fernandes, Paula, Freycon, Vincent, Richard, Antoine, Roggy, Jean-Christophe, Sierra, Jorge, Stahl, Clément, Tillard, Emmanuel, Thuriès, Laurent, Todoroff, Pierre, Vayssières, Jonathan, Versini, Antoine, and Vigne, Mathieu
- Published
- 2023
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