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31 results on '"Jason Vleminckx"'

1. Low-intensity logging alters species and functional composition, but does not negatively impact key ecosystem services in a Central African tropical forest

Author: Megan K. Sullivan, Jason Vleminckx, Prince Armel Mouguiama Bissiemou, Raoul Niangadouma, Manoushka Ilambi Mayoungou, Juste Lemeilleur Temba, Fabrice Bénédet, Katharine Abernethy, Simon A. Queenborough, and Liza S. Comita
Subjects: Beta diversity, Chronosequence, Functional composition, Understory plant community, Selective logging, Tropical forest, Ecology, QH540-549.5
Abstract: Selective logging can impact tree composition and the long-term sustainability of forests. Studying the ecological consequences of logging practices is crucial for guiding forest management strategies aiming at maintaining ecological integrity and supporting landscape-level conservation goals. We investigated the consequences of very low-intensity selective logging in multiple tree life stages across a logged forest chronosequence in Gabon. We found that species composition differed between logged and unlogged forests at all life stages (seedlings, saplings, and adults), which were most pronounced in the understory of older forests (logged 10 years prior) compared to unlogged areas. However, logging explained a small portion of the variation in species composition (
Published: 2024
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2. Weak phylogenetic and habitat effects on root trait variation of 218 Neotropical tree species

Author: Monique Weemstra, Oscar J. Valverde-Barrantes, Claire Fortunel, Erick M. Oblitas Mendoza, Eduardo M. B. Prata, Magno Vásquez Pilco, Alberto Vicentini, Jason Vleminckx, and Christopher Baraloto
Subjects: Amazon forest, functional diversity, phylogeny, belowground traits, root economics space, tropical forests, Forestry, SD1-669.5, Environmental sciences, GE1-350
Abstract: IntroductionTropical forests harbor a large diversity of closely related tree species that can thrive across habitats. This biodiversity has been found to correspond to large functional diversity in aboveground traits, and likely also relates to belowground trait variation. Globally, root trait (co-)variation is driven by different belowground resource strategies of species, environmental variation, and phylogeny; however, these patterns mostly reflect observations from temperate biomes and remain unconfirmed in tropical trees. We examine phylogenetic and environmental effects on root trait (co-)variation of trees across habitats in an Amazonian rainforest.MethodsRoots of 218 tree species from ten dominant families were sampled across three major habitats near Manaus, Brazil. We quantified five morphological and architectural root traits to (i) investigate how they reflected different resource strategies across species, (ii) compare them between families and superorders to test phylogenetic effects, and (iii) compare them between habitats to determine environmental effects on root trait expressions and variability.ResultsRoot traits discriminated species along a tradeoff between root diameter and root branching and, secondly, due to variation in root tissue density. Our results further show weak phylogenetic effects on tropical tree root variation, for example, families from the same superorder showed large divergence in their root traits, while those from different superorders often overlapped in their root morphology and architecture. Root traits differed significantly between habitats but habitat type had only little effect on overall root trait variation.DiscussionOur work suggests that the dimensions and drivers that underlie (co-)variation in tropical root traits may differ from global patterns defined by mostly temperate datasets. Due to (a)biotic environmental differences, different root trait dimensions may underlie the belowground functional diversity in (Neo)tropical forests, and we found little evidence for the strong phylogenetic conservatism observed in root traits in temperate biomes. We highlight important avenues for future research on tropical roots in order to determine the degree of, and shifts in functional diversity belowground as communities and environments change in tropical forests.
Published: 2023
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3. Divergent Secondary Metabolites and Habitat Filtering Both Contribute to Tree Species Coexistence in the Peruvian Amazon

Author: Jason Vleminckx, Diego Salazar, Claire Fortunel, Italo Mesones, Nállarett Dávila, John Lokvam, Krista Beckley, Christopher Baraloto, and Paul V. A. Fine
Subjects: competitive exclusion, natural enemies, plant community assembly, resource use traits, secondary metabolites, Protium (Burseraceae), Plant culture, SB1-1110
Abstract: Little is known about the mechanisms promoting or limiting the coexistence of functionally divergent species in hyperdiverse tropical tree genera. Density-dependent enemy attacks have been proposed to be a major driver for the local coexistence of chemically divergent congeneric species. At the same time, we expect local soil conditions to favor the coexistence of species sharing similar functional traits related to resource use strategies, while environmental heterogeneity would promote the diversity of these traits at both local and large spatial scales. To test how these traits mediate species coexistence, we used functional trait data for 29 species from the tree genus Protium (Burseraceae), collected in 19 plots (2 ha each) in the Peruvian Amazon. We characterized the presence-absence of 189 plant secondary metabolites (SM) for 27 of these species, and 14 functional traits associated with resource use strategies (RUT) for 16 species. Based on these data, we found that SM were significantly more dissimilar than null expectations for species co-occurring within plots, whereas RUT were significantly more similar. These results were consistent with the hypothesis that density-dependent enemy attacks contribute to the local coexistence of congeneric species displaying divergent chemical defenses, whereas local habitat conditions filter species with similar RUT. Using measurements of nine soil properties in each plot, we also found a significant turnover of RUT traits with increasing dissimilarity of soil texture and nutrient availabilities, providing support for the hypothesis that soil heterogeneity maintains functional diversity at larger spatial scales (from 500 m up to ca. 200 km) in Protium communities. Our study provides new evidence suggesting that density-dependent enemy attacks and soil heterogeneity both contribute to maintaining high species richness in diverse tropical forests.
Published: 2018
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4. Soil charcoal to assess the impacts of past human disturbances on tropical forests.

Author: Jason Vleminckx, Julie Morin-Rivat, Achille B Biwolé, Kasso Daïnou, Jean-François Gillet, Jean-Louis Doucet, Thomas Drouet, and Olivier J Hardy
Subjects: Medicine, Science
Abstract: The canopy of many central African forests is dominated by light-demanding tree species that do not regenerate well under themselves. The prevalence of these species might result from ancient slash-and-burn agricultural activities that created large openings, while a decline of these activities since the colonial period could explain their deficit of regeneration. To verify this hypothesis, we compared soil charcoal abundance, used as a proxy for past slash-and-burn agriculture, and tree species composition assessed on 208 rainforest 0.2 ha plots located in three areas from Southern Cameroon. Species were classified in regeneration guilds (pioneer, non-pioneer light-demanding, shade-bearer) and characterized by their wood-specific gravity, assumed to reflect light requirement. We tested the correlation between soil charcoal abundance and: (i) the relative abundance of each guild, (ii) each species and family abundance and (iii) mean wood-specific gravity. Charcoal was found in 83% of the plots, indicating frequent past forest fires. Radiocarbon dating revealed two periods of fires: "recent" charcoal were on average 300 years old (up to 860 BP, n = 16) and occurred in the uppermost 20 cm soil layer, while "ancient" charcoal were on average 1900 years old (range: 1500 to 2800 BP, n = 43, excluding one sample dated 9400 BP), and found in all soil layers. While we expected a positive correlation between the relative abundance of light-demanding species and charcoal abundance in the upper soil layer, overall there was no evidence that the current heterogeneity in tree species composition can be explained by charcoal abundance in any soil layer. The absence of signal supporting our hypothesis might result from (i) a relatively uniform impact of past slash-and-burn activities, (ii) pedoturbation processes bringing ancient charcoal to the upper soil layer, blurring the signal of centuries-old Human disturbances, or (iii) the prevalence of other environmental factors on species composition.
Published: 2014
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5. Niche breadth of Amazonian trees increases with niche optimum across broad edaphic gradients

Author: Jason Vleminckx, Oscar Valverde Barrantes, Claire Fortunel, C. E. Timothy Paine, David Bauman, Julien Engel, Pascal Petronelli, Nállarett Dávila, Marcos Rios, Elvis Harry Valderrama Sandoval, Italo Mesones, Elodie Allié, Jean‐Yves Goret, Freddie C. Draper, Juan Ernesto Guevara Andino, Solène Béroujon, Paul V. A. Fine, and Christopher Baraloto
Subjects: Ecology, Evolution, Behavior and Systematics
Published: 2023

6. Environmental determinants of leaf litter ant community composition along an elevational gradient

Author: Jordan Galli, Mélanie Fichaux, Jérôme Chave, Jason Vleminckx, Jérôme Orivel, Jacques H. C. Delabie, Christopher Baraloto, Nicolas Labrière, Shengli Tao, Elodie A. Courtois, Ecologie des forêts de Guyane (UMR ECOFOG), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, elevation, Soil composition, Climate, ants, [SDV.BID]Life Sciences [q-bio]/Biodiversity, 010603 evolutionary biology, 01 natural sciences, functional traits, climate, Biology, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, soil composition, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Ants, Ecology, Elevation, environmental filtering, 15. Life on land, Plant litter, ANT, French Guiana, Chemistry, Elevational Diversity Gradient, Community composition, 13. Climate action, Environmental science, Environmental filtering, Functional traits
Abstract: International audience; Ant communities are extremely diverse and provide a wide variety of ecological functions in tropical forests. Here we investigated the abiotic factors driving ant composition turnover across an elevational gradient at Mont Itoupé, French Guiana. Mont Itoupé is an isolated mountain whose top is covered by cloud forests, a biogeographical rarity that is likely to be threatened according to climate change scenarios in the region. We examined the influence of six soil, climatic and LiDAR derived vegetation structure variables on leaf-litter ant assembly (267 species) across nine 0.12-ha plots disposed at three elevations (ca. 400, 600 and 800m asl). We tested (a) whether species cooccurring within a same plot or a same elevation were more similar in terms of taxonomic, functional and phylogenetic composition, than species from different plots/elevations, and (b) which environmental variables significantly explained compositional turnover among plots. We found that the distribution of species and traits of ant communities along the elevational gradient was significantly explained by a turnover of environmental conditions, particularly in soil phosphorus and sand content, canopy height and mean annual relative humidity of soil. Our results shed light on the role exerted by environmental filtering in shaping ant community assembly in tropical forests. Identifying the environmental determinants of ant species distribution along tropical elevational gradients could help predicting the future impacts of global warming on biodiversity organization in vulnerable environments such as cloud forests.
Published: 2020

7. Past human disturbances and soil fertility both influence the distribution of light‐demanding tree species in a Central African tropical forest

Author: Jason Vleminckx, Jean-Louis Doucet, Olivier J. Hardy, Marine Demanet, Thomas Drouet, David Bauman, Ecologie des forêts de Guyane (UMR ECOFOG), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: 0106 biological sciences, Biologie du sol (relations sol plantes), 010504 meteorology & atmospheric sciences, Soil charcoal abundance, Distribution (economics), Plant Science, 010603 evolutionary biology, 01 natural sciences, Wood-specific gravity, Soil properties, Ecologie [végétale], Past human disturbances, 0105 earth and related environmental sciences, Ecologie, Ecology, business.industry, Shade-bearer species, 15. Life on land, Tropical forest, Light-demanding species, Geography, Moist tropical forests, Tree community assemblages, [SDE]Environmental Sciences, Biologie spatiale, Soil fertility, business, Biologie, Tree species
Abstract: International audience; Questions In vast areas of Central African forests, the upper canopy is presently dominated by light-demanding tree species. Here, we confront three hypotheses to explain this dominance: (a) these species have expanded their distribution because of widespread past slash-and-burn activities, as suggested by important charcoal amounts recorded in the soils of the region; (b) their abundance is rather explained by soil properties, as this guild establishes preferentially on favourable physico-chemical conditions for rapid growth; (c) soil properties have been substantially influenced by past human disturbances and those two effects cannot be disentangled.Location Pallisco-CIFM logging concession, southeastern Cameroon (300,000 ha).Methods We quantified soil charcoal abundance and measured ten soil variables at the basis of 60 target trees that belonged to a list of three long-living pioneer light-demanding (LLP) and four shade-bearer (SB) species. We identified all stems with a diameter at breast height (DBH) >= 20 cm within a distance of 15 m around each target tree. Species were characterised by their wood-specific gravity (WSG), which reflected their light requirement. Multiple regression models were used to quantify and test the relative effects of charcoal abundance and soil variables on the mean WSG of the 60 tree communities, as well as the abundance of three guilds: LLP, SB, and non-pioneer light demanders (NPLD).Results The mean WSG was the only response variable significantly explained by soil variables and charcoal abundance combined. It was significantly negatively associated with soil calcium and Mg content and with charcoal abundance, with soil and charcoal influencing the mean WSG independently.Conclusion Our study provides evidence that past human disturbances and soil fertility have independently promoted the establishment of light-demanding species in western Central African forests, thereby shedding light on tree community assembly rules in these ecosystems which remain considerably understudied compared to the tropical forests of other continents.
Published: 2020

8. Co-limitation towards lower latitudes shapes global forest diversity gradients

Author: Jingjing Liang, Javier G. P. Gamarra, Nicolas Picard, Mo Zhou, Bryan Pijanowski, Douglass F. Jacobs, Peter B. Reich, Thomas W. Crowther, Gert-Jan Nabuurs, Sergio de-Miguel, Jingyun Fang, Christopher W. Woodall, Jens-Christian Svenning, Tommaso Jucker, Jean-Francois Bastin, Susan K. Wiser, Ferry Slik, Bruno Hérault, Giorgio Alberti, Gunnar Keppel, Geerten M. Hengeveld, Pierre L. Ibisch, Carlos A. Silva, Hans ter Steege, Pablo L. Peri, David A. Coomes, Eric B. Searle, Klaus von Gadow, Bogdan Jaroszewicz, Akane O. Abbasi, Meinrad Abegg, Yves C. Adou Yao, Jesús Aguirre-Gutiérrez, Angelica M. Almeyda Zambrano, Jan Altman, Esteban Alvarez-Dávila, Juan Gabriel Álvarez-González, Luciana F. Alves, Bienvenu H. K. Amani, Christian A. Amani, Christian Ammer, Bhely Angoboy Ilondea, Clara Antón-Fernández, Valerio Avitabile, Gerardo A. Aymard, Akomian F. Azihou, Johan A. Baard, Timothy R. Baker, Radomir Balazy, Meredith L. Bastian, Rodrigue Batumike, Marijn Bauters, Hans Beeckman, Nithanel Mikael Hendrik Benu, Robert Bitariho, Pascal Boeckx, Jan Bogaert, Frans Bongers, Olivier Bouriaud, Pedro H. S. Brancalion, Susanne Brandl, Francis Q. Brearley, Jaime Briseno-Reyes, Eben N. Broadbent, Helge Bruelheide, Erwin Bulte, Ann Christine Catlin, Roberto Cazzolla Gatti, Ricardo G. César, Han Y. H. Chen, Chelsea Chisholm, Emil Cienciala, Gabriel D. Colletta, José Javier Corral-Rivas, Anibal Cuchietti, Aida Cuni-Sanchez, Javid A. Dar, Selvadurai Dayanandan, Thales de Haulleville, Mathieu Decuyper, Sylvain Delabye, Géraldine Derroire, Ben DeVries, John Diisi, Tran Van Do, Jiri Dolezal, Aurélie Dourdain, Graham P. Durrheim, Nestor Laurier Engone Obiang, Corneille E. N. Ewango, Teresa J. Eyre, Tom M. Fayle, Lethicia Flavine N. Feunang, Leena Finér, Markus Fischer, Jonas Fridman, Lorenzo Frizzera, André L. de Gasper, Damiano Gianelle, Henry B. Glick, Maria Socorro Gonzalez-Elizondo, Lev Gorenstein, Richard Habonayo, Olivier J. Hardy, David J. Harris, Andrew Hector, Andreas Hemp, Martin Herold, Annika Hillers, Wannes Hubau, Thomas Ibanez, Nobuo Imai, Gerard Imani, Andrzej M. Jagodzinski, Stepan Janecek, Vivian Kvist Johannsen, Carlos A. Joly, Blaise Jumbam, Banoho L. P. R. Kabelong, Goytom Abraha Kahsay, Viktor Karminov, Kuswata Kartawinata, Justin N. Kassi, Elizabeth Kearsley, Deborah K. Kennard, Sebastian Kepfer-Rojas, Mohammed Latif Khan, John N. Kigomo, Hyun Seok Kim, Carine Klauberg, Yannick Klomberg, Henn Korjus, Subashree Kothandaraman, Florian Kraxner, Amit Kumar, Relawan Kuswandi, Mait Lang, Michael J. Lawes, Rodrigo V. Leite, Geoffrey Lentner, Simon L. Lewis, Moses B. Libalah, Janvier Lisingo, Pablito Marcelo López-Serrano, Huicui Lu, Natalia V. Lukina, Anne Mette Lykke, Vincent Maicher, Brian S. Maitner, Eric Marcon, Andrew R. Marshall, Emanuel H. Martin, Olga Martynenko, Faustin M. Mbayu, Musingo T. E. Mbuvi, Jorge A. Meave, Cory Merow, Stanislaw Miscicki, Vanessa S. Moreno, Albert Morera, Sharif A. Mukul, Jörg C. Müller, Agustinus Murdjoko, Maria Guadalupe Nava-Miranda, Litonga Elias Ndive, Victor J. Neldner, Radovan V. Nevenic, Louis N. Nforbelie, Michael L. Ngoh, Anny E. N’Guessan, Michael R. Ngugi, Alain S. K. Ngute, Emile Narcisse N. Njila, Melanie C. Nyako, Thomas O. Ochuodho, Jacek Oleksyn, Alain Paquette, Elena I. Parfenova, Minjee Park, Marc Parren, Narayanaswamy Parthasarathy, Sebastian Pfautsch, Oliver L. Phillips, Maria T. F. Piedade, Daniel Piotto, Martina Pollastrini, Lourens Poorter, John R. Poulsen, Axel Dalberg Poulsen, Hans Pretzsch, Mirco Rodeghiero, Samir G. Rolim, Francesco Rovero, Ervan Rutishauser, Khosro Sagheb-Talebi, Purabi Saikia, Moses Nsanyi Sainge, Christian Salas-Eljatib, Antonello Salis, Peter Schall, Dmitry Schepaschenko, Michael Scherer-Lorenzen, Bernhard Schmid, Jochen Schöngart, Vladimír Šebeň, Giacomo Sellan, Federico Selvi, Josep M. Serra-Diaz, Douglas Sheil, Anatoly Z. Shvidenko, Plinio Sist, Alexandre F. Souza, Krzysztof J. Stereńczak, Martin J. P. Sullivan, Somaiah Sundarapandian, Miroslav Svoboda, Mike D. Swaine, Natalia Targhetta, Nadja Tchebakova, Liam A. Trethowan, Robert Tropek, John Tshibamba Mukendi, Peter Mbanda Umunay, Vladimir A. Usoltsev, Gaia Vaglio Laurin, Riccardo Valentini, Fernando Valladares, Fons van der Plas, Daniel José Vega-Nieva, Hans Verbeeck, Helder Viana, Alexander C. Vibrans, Simone A. Vieira, Jason Vleminckx, Catherine E. Waite, Hua-Feng Wang, Eric Katembo Wasingya, Chemuku Wekesa, Bertil Westerlund, Florian Wittmann, Verginia Wortel, Tomasz Zawiła-Niedźwiecki, Chunyu Zhang, Xiuhai Zhao, Jun Zhu, Xiao Zhu, Zhi-Xin Zhu, Irie C. Zo-Bi, Cang Hui, Liang, Jingjing, Gamarra, Javier GP, Picard, Nicolas, Zhou, Mo, Keppel, Gunnar, Hui, Cang, Liang J., Gamarra J.G.P., Picard N., Zhou M., Pijanowski B., Jacobs D.F., Reich P.B., Crowther T.W., Nabuurs G.-J., de-Miguel S., Fang J., Woodall C.W., Svenning J.-C., Jucker T., Bastin J.-F., Wiser S.K., Slik F., Herault B., Alberti G., Keppel G., Hengeveld G.M., Ibisch P.L., Silva C.A., ter Steege H., Peri P.L., Coomes D.A., Searle E.B., von Gadow K., Jaroszewicz B., Abbasi A.O., Abegg M., Yao Y.C.A., Aguirre-Gutierrez J., Zambrano A.M.A., Altman J., Alvarez-Davila E., Alvarez-Gonzalez J.G., Alves L.F., Amani B.H.K., Amani C.A., Ammer C., Ilondea B.A., Anton-Fernandez C., Avitabile V., Aymard G.A., Azihou A.F., Baard J.A., Baker T.R., Balazy R., Bastian M.L., Batumike R., Bauters M., Beeckman H., Benu N.M.H., Bitariho R., Boeckx P., Bogaert J., Bongers F., Bouriaud O., Brancalion P.H.S., Brandl S., Brearley F.Q., Briseno-Reyes J., Broadbent E.N., Bruelheide H., Bulte E., Catlin A.C., Cazzolla Gatti R., Cesar R.G., Chen H.Y.H., Chisholm C., Cienciala E., Colletta G.D., Corral-Rivas J.J., Cuchietti A., Cuni-Sanchez A., Dar J.A., Dayanandan S., de Haulleville T., Decuyper M., Delabye S., Derroire G., DeVries B., Diisi J., Do T.V., Dolezal J., Dourdain A., Durrheim G.P., Obiang N.L.E., Ewango C.E.N., Eyre T.J., Fayle T.M., Feunang L.F.N., Finer L., Fischer M., Fridman J., Frizzera L., de Gasper A.L., Gianelle D., Glick H.B., Gonzalez-Elizondo M.S., Gorenstein L., Habonayo R., Hardy O.J., Harris D.J., Hector A., Hemp A., Herold M., Hillers A., Hubau W., Ibanez T., Imai N., Imani G., Jagodzinski A.M., Janecek S., Johannsen V.K., Joly C.A., Jumbam B., Kabelong B.L.P.R., Kahsay G.A., Karminov V., Kartawinata K., Kassi J.N., Kearsley E., Kennard D.K., Kepfer-Rojas S., Khan M.L., Kigomo J.N., Kim H.S., Klauberg C., Klomberg Y., Korjus H., Kothandaraman S., Kraxner F., Kumar A., Kuswandi R., Lang M., Lawes M.J., Leite R.V., Lentner G., Lewis S.L., Libalah M.B., Lisingo J., Lopez-Serrano P.M., Lu H., Lukina N.V., Lykke A.M., Maicher V., Maitner B.S., Marcon E., Marshall A.R., Martin E.H., Martynenko O., Mbayu F.M., Mbuvi M.T.E., Meave J.A., Merow C., Miscicki S., Moreno V.S., Morera A., Mukul S.A., Muller J.C., Murdjoko A., Nava-Miranda M.G., Ndive L.E., Neldner V.J., Nevenic R.V., Nforbelie L.N., Ngoh M.L., N'Guessan A.E., Ngugi M.R., Ngute A.S.K., Njila E.N.N., Nyako M.C., Ochuodho T.O., Oleksyn J., Paquette A., Parfenova E.I., Park M., Parren M., Parthasarathy N., Pfautsch S., Phillips O.L., Piedade M.T.F., Piotto D., Pollastrini M., Poorter L., Poulsen J.R., Poulsen A.D., Pretzsch H., Rodeghiero M., Rolim S.G., Rovero F., Rutishauser E., Sagheb-Talebi K., Saikia P., Sainge M.N., Salas-Eljatib C., Salis A., Schall P., Schepaschenko D., Scherer-Lorenzen M., Schmid B., Schongart J., Seben V., Sellan G., Selvi F., Serra-Diaz J.M., Sheil D., Shvidenko A.Z., Sist P., Souza A.F., Sterenczak K.J., Sullivan M.J.P., Sundarapandian S., Svoboda M., Swaine M.D., Targhetta N., Tchebakova N., Trethowan L.A., Tropek R., Mukendi J.T., Umunay P.M., Usoltsev V.A., Vaglio Laurin G., Valentini R., Valladares F., van der Plas F., Vega-Nieva D.J., Verbeeck H., Viana H., Vibrans A.C., Vieira S.A., Vleminckx J., Waite C.E., Wang H.-F., Wasingya E.K., Wekesa C., Westerlund B., Wittmann F., Wortel V., Zawila-Niedzwiecki T., Zhang C., Zhao X., Zhu J., Zhu X., Zhu Z.-X., Zo-Bi I.C., Hui C., Purdue University [West Lafayette], Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Groupement d'Interêt Public Ecosystèmes Forestiers GIP ECOFOR (GIP ECOFOR ), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Département Environnements et Sociétés (Cirad-ES), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National Polytechnique Félix Houphouët-Boigny, and Stellenbosch University
Subjects: Bos- en Landschapsecologie, WASS, Plant Ecology and Nature Conservation, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Co-limitation, Ontwikkelingseconomie, Forest and Nature Conservation Policy, Trees, Soil, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Development Economics, Laboratory of Geo-information Science and Remote Sensing, Settore BIO/07 - ECOLOGIA, Life Science, Laboratorium voor Moleculaire Biologie, Bos- en Natuurbeleid, Forest and Landscape Ecology, Bosecologie en Bosbeheer, Laboratorium voor Geo-informatiekunde en Remote Sensing, BIOS Plant Development Systems, Vegetatie, Ecology, Evolution, Behavior and Systematics, biogeography, biodiversity, Vegetation, Ecology, Biodiversity, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Latitudinal gradients, PE&RC, Forest Ecology and Forest Management, Bioclimatic dominance, Biogeography, LATITUDE, Plantenecologie en Natuurbeheer, Vegetatie, Bos- en Landschapsecologie, Vegetation, Forest and Landscape Ecology, Laboratory of Molecular Biology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Corporate Governance & Legal Services, Tree, Global LDG
Abstract: The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers. The team collaboration and manuscript development are supported by the web-based team science platform: science-i.org, with the project number 202205GFB2. We thank the following initiatives, agencies, teams and individuals for data collection and other technical support: the Global Forest Biodiversity Initiative (GFBI) for establishing the data standards and collaborative framework; United States Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program; University of Alaska Fairbanks; the SODEFOR, Ivory Coast; University Félix Houphouët-Boigny (UFHB, Ivory Coast); the Queensland Herbarium and past Queensland Government Forestry and Natural Resource Management departments and staff for data collection for over seven decades; and the National Forestry Commission of Mexico (CONAFOR). We thank M. Baker (Carbon Tanzania), together with a team of field assistants (Valentine and Lawrence); all persons who made the Third Spanish Forest Inventory possible, especially the main coordinator, J. A. Villanueva (IFN3); the French National Forest Inventory (NFI campaigns (raw data 2005 and following annual surveys, were downloaded by GFBI at https://inventaire-forestier.ign.fr/spip.php?rubrique159; site accessed on 1 January 2015)); the Italian Forest Inventory (NFI campaigns raw data 2005 and following surveys were downloaded by GFBI at https://inventarioforestale.org/; site accessed on 27 April 2019); Swiss National Forest Inventory, Swiss Federal Institute for Forest, Snow and Landscape Research WSL and Federal Office for the Environment FOEN, Switzerland; the Swedish NFI, Department of Forest Resource Management, Swedish University of Agricultural Sciences SLU; the National Research Foundation (NRF) of South Africa (89967 and 109244) and the South African Research Chair Initiative; the Danish National Forestry, Department of Geosciences and Natural Resource Management, UCPH; Coordination for the Improvement of Higher Education Personnel of Brazil (CAPES, grant number 88881.064976/2014-01); R. Ávila and S. van Tuylen, Instituto Nacional de Bosques (INAB), Guatemala, for facilitating Guatemalan data; the National Focal Center for Forest condition monitoring of Serbia (NFC), Institute of Forestry, Belgrade, Serbia; the Thünen Institute of Forest Ecosystems (Germany) for providing National Forest Inventory data; the FAO and the United Nations High Commissioner for Refugees (UNHCR) for undertaking the SAFE (Safe Access to Fuel and Energy) and CBIT-Forest projects; and the Amazon Forest Inventory Network (RAINFOR), the African Tropical Rainforest Observation Network (AfriTRON) and the ForestPlots.net initiative for their contributions from Amazonian and African forests. The Natural Forest plot data collected between January 2009 and March 2014 by the LUCAS programme for the New Zealand Ministry for the Environment are provided by the New Zealand National Vegetation Survey Databank https://nvs.landcareresearch.co.nz/. We thank the International Boreal Forest Research Association (IBFRA); the Forestry Corporation of New South Wales, Australia; the National Forest Directory of the Ministry of Environment and Sustainable Development of the Argentine Republic (MAyDS) for the plot data of the Second National Forest Inventory (INBN2); the National Forestry Authority and Ministry of Water and Environment of Uganda for their National Biomass Survey (NBS) dataset; and the Sabah Biodiversity Council and the staff from Sabah Forest Research Centre. All TEAM data are provided by the Tropical Ecology Assessment and Monitoring (TEAM) Network, a collaboration between Conservation International, the Missouri Botanical Garden, the Smithsonian Institution and the Wildlife Conservation Society, and partially funded by these institutions, the Gordon and Betty Moore Foundation and other donors, with thanks to all current and previous TEAM site manager and other collaborators that helped collect data. We thank the people of the Redidoti, Pierrekondre and Cassipora village who were instrumental in assisting with the collection of data and sharing local knowledge of their forest and the dedicated members of the field crew of Kabo 2012 census. We are also thankful to FAPESC, SFB, FAO and IMA/SC for supporting the IFFSC. This research was supported in part through computational resources provided by Information Technology at Purdue, West Lafayette, Indiana.This work is supported in part by the NASA grant number 12000401 ‘Multi-sensor biodiversity framework developed from bioacoustic and space based sensor platforms’ (J. Liang, B.P.); the USDA National Institute of Food and Agriculture McIntire Stennis projects 1017711 (J. Liang) and 1016676 (M.Z.); the US National Science Foundation Biological Integration Institutes grant NSF‐DBI‐2021898 (P.B.R.); the funding by H2020 VERIFY (contract 776810) and H2020 Resonate (contract 101000574) (G.-J.N.); the TEAM project in Uganda supported by the Moore foundation and Buffett Foundation through Conservation International (CI) and Wildlife Conservation Society (WCS); the Danish Council for Independent Research | Natural Sciences (TREECHANGE, grant 6108- 00078B) and VILLUM FONDEN grant number 16549 (J.-C.S.); the Natural Environment Research Council of the UK (NERC) project NE/T011084/1 awarded to J.A.-G. and NE/S011811/1; ERC Advanced Grant 291585 (‘T-FORCES’) and a Royal Society-Wolfson Research Merit Award (O.L.P.); RAINFOR plots supported by the Gordon and Betty Moore Foundation and the UK Natural Environment Research Council, notably NERC Consortium Grants ‘AMAZONICA’ (NE/F005806/1), ‘TROBIT’ (NE/D005590/1) and ‘BIO-RED’ (NE/N012542/1); CIFOR’s Global Comparative Study on REDD+ funded by the Norwegian Agency for Development Cooperation, the Australian Department of Foreign Affairs and Trade, the European Union, the International Climate Initiative (IKI) of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety and the CGIAR Research Program on Forests, Trees and Agroforestry (CRP-FTA) and donors to the CGIAR Fund; AfriTRON network plots funded by the local communities and NERC, ERC, European Union, Royal Society and Leverhume Trust; a grant from the Royal Society and the Natural Environment Research Council, UK (S.L.L.); National Science Foundation CIF21 DIBBs: EI: number 1724728 (A.C.C.); National Natural Science Foundation of China (31800374) and Shandong Provincial Natural Science Foundation (ZR2019BC083) (H.L.). UK NERC Independent Research Fellowship (grant code: NE/S01537X/1) (T.J.); a Serra-Húnter Fellowship provided by the Government of Catalonia (Spain) (S.d.-M.); the Brazilian National Council for Scientific and Technological Development (CNPq, grant 442640/2018-8, CNPq/Prevfogo-Ibama number 33/2018) (C.A.S.); a grant from the Franklinia Foundation (D.A.C.); Russian Science Foundation project number 19-77-300-12 (R.V.); the Takenaka Scholarship Foundation (A.O.A.); the German Research Foundation (DFG), grant number Am 149/16-4 (C.A.); the Romania National Council for Higher Education Funding, CNFIS, project number CNFIS-FDI-2022-0259 (O.B.); Natural Sciences and Engineering Research Council of Canada (RGPIN-2019-05109 and STPGP506284) and the Canadian Foundation for Innovation (36014) (H.Y.H.C.); the project SustES—Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/0000797) (E.C.); Consejo de Ciencia y Tecnología del estado de Durango (2019-01-155) (J.J.C.-R.); Science and Engineering Research Board (SERB), New Delhi, Government of India (file number PDF/2015/000447)— ‘Assessing the carbon sequestration potential of different forest types in Central India in response to climate change’ (J.A.D.); Investissement d’avenir grant of the ANR (CEBA: ANR-10-LABEX-0025) (G.D.); National Foundation for Science & Technology Development of Vietnam, 106-NN.06-2013.01 (T.V.D.); Queensland government, Department of Environment and Science (T.J.E.); a Czech Science Foundation Standard grant (19-14620S) (T.M.F.); European Union Seventh Framework Program (FP7/2007– 2013) under grant agreement number 265171 (L. Finer, M. Pollastrini, F. Selvi); grants from the Swedish National Forest Inventory, Swedish University of Agricultural Sciences (J.F.); CNPq productivity grant number 311303/2020-0 (A.L.d.G.); DFG grant HE 2719/11-1,2,3; HE 2719/14-1 (A. Hemp); European Union’s Horizon Europe research project OpenEarthMonitor grant number 101059548, CGIAR Fund INIT-32-MItigation and Transformation Initiative for GHG reductions of Agrifood systems RelaTed Emissions (MITIGATE+) (M.H.); General Directorate of the State Forests, Poland (1/07; OR-2717/3/11; OR.271.3.3.2017) and the National Centre for Research and Development, Poland (BIOSTRATEG1/267755/4/NCBR/2015) (A.M.J.); Czech Science Foundation 18-10781 S (S.J.); Danish of Ministry of Environment, the Danish Environmental Protection Agency, Integrated Forest Monitoring Program—NFI (V.K.J.); State of São Paulo Research Foundation/FAPESP as part of the BIOTA/FAPESP Program Project Functional Gradient-PELD/BIOTA-ECOFOR 2003/12595-7 & 2012/51872-5 (C.A.J.); Danish Council for Independent Research—social sciences—grant DFF 6109– 00296 (G.A.K.); Russian Science Foundation project 21-46-07002 for the plot data collected in the Krasnoyarsk region (V.K.); BOLFOR (D.K.K.); Department of Biotechnology, New Delhi, Government of India (grant number BT/PR7928/ NDB/52/9/2006, dated 29 September 2006) (M.L.K.); grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (J.N.K.); Korea Forest Service (2018113A00-1820-BB01, 2013069A00-1819-AA03, and 2020185D10- 2022-AA02) and Seoul National University Big Data Institute through the Data Science Research Project 2016 (H.S.K.); the Brazilian National Council for Scientific and Technological Development (CNPq, grant 442640/2018-8, CNPq/Prevfogo-Ibama number 33/2018) (C.K.); CSIR, New Delhi, government of India (grant number 38(1318)12/EMR-II, dated: 3 April 2012) (S.K.); Department of Biotechnology, New Delhi, government of India (grant number BT/ PR12899/ NDB/39/506/2015 dated 20 June 2017) (A.K.); Coordination for the Improvement of Higher Education Personnel (CAPES) #88887.463733/2019-00 (R.V.L.); National Natural Science Foundation of China (31800374) (H.L.); project of CEPF RAS ‘Methodological approaches to assessing the structural organization and functioning of forest ecosystems’ (AAAA-A18-118052590019-7) funded by the Ministry of Science and Higher Education of Russia (N.V.L.); Leverhulme Trust grant to Andrew Balmford, Simon Lewis and Jon Lovett (A.R.M.); Russian Science Foundation, project 19-77-30015 for European Russia data processing (O.M.); grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (M.T.E.M.); the National Centre for Research and Development, Poland (BIOSTRATEG1/267755/4/NCBR/2015) (S.M.); the Secretariat for Universities and of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund (A. Morera); Queensland government, Department of Environment and Science (V.J.N.); Pinnacle Group Cameroon PLC (L.N.N.); Queensland government, Department of Environment and Science (M.R.N.); the Natural Sciences and Engineering Research Council of Canada (RGPIN-2018-05201) (A.P.); the Russian Foundation for Basic Research, project number 20-05-00540 (E.I.P.); European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement number 778322 (H.P.); Science and Engineering Research Board, New Delhi, government of India (grant number YSS/2015/000479, dated 12 January 2016) (P.S.); the Chilean Government research grants Fondecyt number 1191816 and FONDEF number ID19 10421 (C.S.-E.); the Deutsche Forschungsgemeinschaft (DFG) Priority Program 1374 Biodiversity Exploratories (P.S.); European Space Agency projects IFBN (4000114425/15/NL/FF/gp) and CCI Biomass (4000123662/18/I-NB) (D. Schepaschenko); FunDivEUROPE, European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement number 265171 (M.S.-L.); APVV 20-0168 from the Slovak Research and Development Agency (V.S.); Manchester Metropolitan University’s Environmental Science Research Centre (G.S.); the project ‘LIFE+ ForBioSensing PL Comprehensive monitoring of stand dynamics in Białowieża Forest supported with remote sensing techniques’ which is co-funded by the EU Life Plus programme (contract number LIFE13 ENV/PL/000048) and the National Fund for Environmental Protection and Water Management in Poland (contract number 485/2014/WN10/OP-NM-LF/D) (K.J.S.); Global Challenges Research Fund (QR allocation, MMU) (M.J.P.S.); Czech Science Foundation project 21-27454S (M.S.); the Russian Foundation for Basic Research, project number 20-05-00540 (N. Tchebakova); Botanical Research Fund, Coalbourn Trust, Bentham Moxon Trust, Emily Holmes scholarship (L.A.T.); the programmes of the current scientific research of the Botanical Garden of the Ural Branch of Russian Academy of Sciences (V.A.U.); FCT—Portuguese Foundation for Science and Technology—Project UIDB/04033/2020. Inventário Florestal Nacional—ICNF (H. Viana); Grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (C.W.); grants from the Swedish National Forest Inventory, Swedish University of Agricultural Sciences (B.W.); ATTO project (grant number MCTI-FINEP 1759/10 and BMBF 01LB1001A, 01LK1602F) (F.W.); ReVaTene/ PReSeD-CI 2 is funded by the Education and Research Ministry of Côte d’Ivoire, as part of the Debt Reduction-Development Contracts (C2Ds) managed by IRD (I.C.Z.-B.); the National Research Foundation of South Africa (NRF, grant 89967) (C.H.). The Tropical Plant Exploration Group 70 1 ha plots in Continental Cameroon Mountains are supported by Rufford Small Grant Foundation, UK and 4 ha in Sierra Leone are supported by the Global Challenge Research Fund through Manchester Metropolitan University, UK; the National Geographic Explorer Grant, NGS-53344R-18 (A.C.-S.); University of KwaZulu-Natal Research Office grant (M.J.L.); Universidad Nacional Autónoma de México, Dirección General de Asuntos de Personal Académico, Grant PAPIIT IN-217620 (J.A.M.). Czech Science Foundation project 21-24186M (R.T., S. Delabye). Czech Science Foundation project 20-05840Y, the Czech Ministry of Education, Youth and Sports (LTAUSA19137) and the long-term research development project of the Czech Academy of Sciences no. RVO 67985939 (J.A.). The American Society of Primatologists, the Duke University Graduate School, the L.S.B. Leakey Foundation, the National Science Foundation (grant number 0452995) and the Wenner-Gren Foundation for Anthropological Research (grant number 7330) (M.B.). Research grants from Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq, Brazil) (309764/2019; 311303/2020) (A.C.V., A.L.G.). The Project of Sanya Yazhou Bay Science and Technology City (grant number CKJ-JYRC-2022-83) (H.-F.W.). The Ugandan NBS was supported with funds from the Forest Carbon Partnership Facility (FCPF), the Austrian Development Agency (ADC) and FAO. FAO’s UN-REDD Program, together with the project on ‘Native Forests and Community’ Loan BIRF number 8493-AR UNDP ARG/15/004 and the National Program for the Protection of Native Forests under UNDP funded Argentina’s INBN2.
Published: 2022

9. Amazon tree dominance across forest strata

Author: Jérôme Chave, Katherine H Roucoux, Gregory P. Asner, Frederick C. Draper, Ricardo Keichi Umetsu, C. E. Timothy Paine, Mauricio Sánchez Sáenz, Eliana Jimenez-Rojas, J. Sebastián Tello, Julien Engel, Raquel Thomas, Dilys M. Vela, David W. Galbraith, Kenneth R. Young, Marcelo Petratti Pansonato, Timothy J. Killeen, Fernanda Coelho de Souza, José Luís Camargo, Jim Vega Arenas, Roosevelt Garcia Villacorta, Jean-François Molino, Francisco Dallmeier, Antonio S. Lima, Fernanda Carvalho, Luzmila Arroyo, Gerardo Aymard, Abel Monteagudo-Mendoza, Ben Hur Marimon Junior, Germaine Alexander Parada Gutierrez, Jonathan Lloyd, Walter A. Palacios, Rodolfo Vásquez Martínez, Tinde van Andel, Sabina Cerruto Ribeiro, Narel Y.Paniagua Zambrana, Adriana Prieto, Marcos José Salgado Vital, Richarlly da Costa Silva, Gabriel Damasco, James A. Comiskey, Gabriel Arellano, Carlos A. Guerra, Oscar J.Valverde Barrantes, Klécia Gili Massi, Marcos Ríos Paredes, José Julio de Toledo, Gilberto E.Navarro Aguilar, Thomas E. Lovejoy, Victor Chama Moscoso, José Reyna Huaymacari, William E. Magnusson, Sandra Patiño, Renato R. Hilário, Guido Pardo, Manuel Flores, Paul E. Berry, Miguel Alexiades, Ricardo de Oliveira Perdiz, Hans ter Steege, Fredy R. Ramirez Arévalo, Nállarett Dávila, Adriane Esquivel Muelbert, Fabricio Beggiato Baccaro, Vincent A. Vos, Juliana Schietti, Erika Berenguer, Elvis Valderamma Sandoval, Nigel C. A. Pitman, Joost F. Duivenvoorden, Rodrigo Sierra, Beatriz Schwantes Marimon, Daniel Sabatier, Kyle G. Dexter, Ted R. Feldpausch, Jessica Soares Cravo, Claire Fortunel, Elodie Allie, Italo Mesones, Eurídice N. Honorio Coronado, Flávia R. C. Costa, Hirma Ramírez-Angulo, Carolina V. Castilho, Ima Célia Guimarães Vieira, Leslie Cayola Pérez, Maxime Réjou-Méchain, Ophelia Wang, Oliver L. Phillips, Pascal Petronelli, Flávia Delgado Santana, Roel J. W. Brienen, Alberto Vicentini, Alfredo F. Fuentes, Michelle Kalamandeen, Kalle Ruokolainen, Luis Valenzuela Gamarra, Rafael de Paiva Salomão, Ângelo Gilberto Manzatto, Cesar J.Cordova Oroche, Aurélie Dourdain, Marcos Silvera, Luisa Fernanda Casas, Niro Higuchi, Jacob B. Socolar, Susan G. Laurance, Ana C. Andrade, Gerardo Flores Llampazo, Jason Vleminckx, Karina Melgaço, William F. Laurance, Jean Yves Goret, Sophie Fauset, John Pipoly, Jhon del Aguila Pasquel, Luis A. Torres Montenegro, Julio Miguel Grandez Rios, Ricardo Zárate Gómez, Mathias Disney, Paul V. A. Fine, Ana M. Aldana, Henrique E. M. Nascimento, André Braga Junqueira, Nayane C.C.S. Prestes, Christopher Baraloto, Sidney Araújo de Sousa, Emilio Vilanova Torre, Wenderson Castro, Alvaro Duque, Percy Núñez Vargas, John Terborgh, Yadvinder Malhi, Pablo Roberto Stevenson Diaz, Timothy R. Baker, Darcy F. Galiano Cabrera, Carlos Cerón, Manuel J. Macía, Peter M. Jørgensen, Thaiane Rodrigues de Sousa, Armando Torres-Lezama, David A. Neill, Juan Ernesto Guevara Andino, Luiz E. O. C. Aragão, M. C. Peñuela, Alejandro Araujo-Murakami, Systems Ecology, Ecosystem and Landscape Dynamics (IBED, FNWI), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), ANR-13-BSV7-0009,NEBEDIV,Le rôle des ennemis naturels dans la diversité béta des arbres tropicaux(2013), ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), European Project: 291585,EC:FP7:ERC,ERC-2011-ADG_20110209,T-FORCES(2012), Florida International University, University of Leeds, Arizona State University, Instituto Nacional de Pesquisas da Amazônia (INPA), University of Michigan, Universidad Nacional de Colombia, Universidad Autónoma de Madrid, Naturalis Biodiversity Center, Vrije Universiteit, Lancaster University, University of Oxford, Norwegian University of Life Sciences, University of Edinburgh, Missouri Botanical Garden, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Universidad Nacional de San Antonio Abad del Cusco, University of California Berkeley, University of Turku, Instituto de Investigaciones de la Amazonía Peruana, Herbario Universitario (PORT), Compensation International Progress S. A.—Ciprogress Greenlife, IRD, University of New England, Université de Guyane, UMR EcoFoG, Universidad de Las Américas, Herbario Nacional de Bolivia, Universidade Federal de Rondônia, Laboratoire Evolution et Diversité Biologique (EDB) CNRS/UPS, University of Plymouth, Cornell University, University of Exeter, Universidad Nacional de la Amazonía Peruana, Estación Biológica del Jardín Botánico de Missouri, Universitat Autònoma de Barcelona, University of St Andrews, Federal University of Amapá, James Cook University, George Mason University, National Park Service, Smithsonian Institution, University of Cambridge, Laurentian University, Instituto Nacional de Innovación Agraria (INIA), Universidad Nacional de la Amazonia Peruana, Universidade de São Paulo (USP), University of Amsterdam, Universidade Federal de Roraima, Universidad Autónoma Gabriel Rene Moreno, Universidad do Estado de Mato Grosso, Universidade Federal do Rio Grande do Norte, University of Minnesota, University College London, Universidad de Los Andes (Colombia), Universidade Federal do Acre, Duke University, Iwokrama International Centre for Rainforest Conservation and Development, Smithsonian’s National Zoo & Conservation Biology Institute, Universidade Federal Rural da Amazônia—UFRA/CAPES, Museu Paraense Emílio Goeldi, Universidad de Los Andes, Universidad de los Andes, University of Washington, Universidad Regional Amazónica Ikiam, Agteca-Amazonica, Universidad Autónoma del Beni, Broward County Parks and Recreation, Florida Atlantic University-Davie, Universidad Estatal Amazónica, Washington University in St Louis, National Institute for Space Research (INPE), Geoinformática & Sistemas (GeoIS), Northern Arizona University, University of Texas at Austin, Universidade Estadual Paulista (Unesp), University of Kent, Universidade Federal do Amazonas, Universidad Central del Ecuador, University of Birmingham, Imperial College London, The Field Museum, Herbario Nacional del Ecuador, Research Institute Alexander von Humboldt, University of St Andrews. School of Geography & Sustainable Development, and University of St Andrews. Environmental Change Research Group
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, Range (biology), Amazonian, Biodiversity, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 010603 evolutionary biology, 01 natural sciences, Trees, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, SD Forestry, SDG 13 - Climate Action, Humans, Dominance (ecology), Ecology, Evolution, Behavior and Systematics, SD, 0105 earth and related environmental sciences, SDG 15 - Life on Land, GE, Ecology, Amazon rainforest, DAS, Plant community, Understory, 15. Life on land, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Tropical ecology, Geography, 13. Climate action, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Brazil, GE Environmental Sciences
Abstract: Made available in DSpace on 2021-06-25T10:27:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) The forests of Amazonia are among the most biodiverse plant communities on Earth. Given the immediate threats posed by climate and land-use change, an improved understanding of how this extraordinary biodiversity is spatially organized is urgently required to develop effective conservation strategies. Most Amazonian tree species are extremely rare but a few are common across the region. Indeed, just 227 ‘hyperdominant’ species account for >50% of all individuals >10 cm diameter at 1.3 m in height. Yet, the degree to which the phenomenon of hyperdominance is sensitive to tree size, the extent to which the composition of dominant species changes with size class and how evolutionary history constrains tree hyperdominance, all remain unknown. Here, we use a large floristic dataset to show that, while hyperdominance is a universal phenomenon across forest strata, different species dominate the forest understory, midstory and canopy. We further find that, although species belonging to a range of phylogenetically dispersed lineages have become hyperdominant in small size classes, hyperdominants in large size classes are restricted to a few lineages. Our results demonstrate that it is essential to consider all forest strata to understand regional patterns of dominance and composition in Amazonia. More generally, through the lens of 654 hyperdominant species, we outline a tractable pathway for understanding the functioning of half of Amazonian forests across vertical strata and geographical locations. Institute of Environment Department of Biological Sciences Florida International University School of Geography University of Leeds Center for Global Discovery and Conservation Science Arizona State University Instituto Nacional de Pesquisas da Amazônia (INPA) Ecology and Evolutionary Biology University of Michigan Departamento de Ciencias Forestales Universidad Nacional de Colombia Departamento de Biología Universidad Autónoma de Madrid Centro de Investigación en Biodiversidad y Cambio Global (CIBC-UAM) Universidad Autónoma de Madrid Naturalis Biodiversity Center Systems Ecology Vrije Universiteit Lancaster Environment Centre Lancaster University Environmental Change Institute University of Oxford Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences School of Geosciences University of Edinburgh Missouri Botanical Garden Brazilian Agricultural Research Corporation (Embrapa) Universidad Nacional de San Antonio Abad del Cusco Department of Intergrative Biology University of California Berkeley Department of Biology University of Turku Instituto de Investigaciones de la Amazonía Peruana UNELLEZ-Guanare Programa de Ciencias del Agro y el Mar Herbario Universitario (PORT) Compensation International Progress S. A.—Ciprogress Greenlife AMAP Université de Montpellier CIRAD CNRS INRAE IRD Environmental and Rural Science University of New England INRA UMR EcoFoG AgroParisTech CNRS CIRAD Université des Antilles Université de Guyane CIRAD UMR EcoFoG BIOMAS Universidad de Las Américas Instituto de Ecología Herbario Nacional de Bolivia Departamento de Biologia Universidade Federal de Rondônia Laboratoire Evolution et Diversité Biologique (EDB) CNRS/UPS School of Geography Earth and Environmental Sciences University of Plymouth Department of Ecology and Evolutionary Biology Cornell University Department of Geography University of Exeter Facultad de Ciencias Biológicas Universidad Nacional de la Amazonía Peruana Estación Biológica del Jardín Botánico de Missouri Institut de Ciència i Tecnologia Ambientals Universitat Autònoma de Barcelona School of Geography & Sustainable Development University of St Andrews Department of Environment and Development Federal University of Amapá Centre for Tropical Environmental and Sustainability Science (TESS) and College of Marine and Environmental Sciences James Cook University Department of Environmental Science and Policy George Mason University Inventory and Monitoring Program National Park Service Smithsonian Institution Department of Plant Sciences University of Cambridge Living with Lakes Centre Laurentian University DRGB Instituto Nacional de Innovación Agraria (INIA) Herbarium Amazonense (AMAZ) Universidad Nacional de la Amazonia Peruana Department of Ecology Universidade de São Paulo Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam Centro de Estudos da Biodiversidade Universidade Federal de Roraima Museo de Historia Natural Noel Kempff Mercado Universidad Autónoma Gabriel Rene Moreno Faculdade de Ciências Agrárias Biológicas e Sociais Aplicadas Universidad do Estado de Mato Grosso Centro de Biociências Universidade Federal do Rio Grande do Norte Department of Ecology Evolution and Behaviour University of Minnesota Department of Geography University College London Departamento de Ciencias Biológicas Universidad de Los Andes (Colombia) Centro de Ciências Biológicas e da Natureza Universidade Federal do Acre Nicholas School of the Environment Duke University Iwokrama International Centre for Rainforest Conservation and Development Smithsonian’s National Zoo & Conservation Biology Institute Instituto de Ciencias Naturales Universidad Nacional de Colombia Universidade Federal Rural da Amazônia—UFRA/CAPES Museu Paraense Emílio Goeldi Laboratorio de Ecología de Bosques Tropicales y Primatología Fundación Natura Colombia Universidad de Los Andes Facultad de Forestales Universidad Nacional de la Amazonía Peruana Institute of Research for Forestry Development Universidad de los Andes School of Environmental and Forest Sciences (SEFS) University of Washington Universidad Regional Amazónica Ikiam Agteca-Amazonica Universidad Autónoma del Beni Instituto Amazónico de Investigaciones (IMANI) Universidad Nacional de Colombia Broward County Parks and Recreation Biological Sciences Florida Atlantic University-Davie Museu Universitário Universidade Federal do Acre Facultad de Ingeniería Ambiental Universidad Estatal Amazónica Department of Biology Washington University in St Louis National Institute for Space Research (INPE) Geoinformática & Sistemas (GeoIS) School of Earth Sciences and Environmental Sustainability Northern Arizona University Department of Geography and the Environment University of Texas at Austin Instituto de Ciência e Tecnologia São Paulo State University (UNESP) School of Anthropology and Conservation University of Kent Universidade Federal do Amazonas Herbario Alfredo Paredes (QAP) Universidad Central del Ecuador School of Geography Earth and Environmental Sciences University of Birmingham Department of Life Sciences Imperial College London Science and Education The Field Museum Universidad Tecnica del Norte Herbario Nacional del Ecuador Research Institute Alexander von Humboldt Instituto de Ciência e Tecnologia São Paulo State University (UNESP)
Published: 2021

10. Resistance of African tropical forests to an extreme climate anomaly

Author: Hans Verbeeck, Jacques Mukinzi, Hermann Taedoumg, Connie J. Clark, Kofi Affum-Baffoe, Peter M. Umunay, John R. Poulsen, John T. Woods, Pascal Boeckx, Armandu K. Daniels, Vianet Mihindu, David Harris, Yannick Enock Bocko, Serge K. Begne, Thalès de Haulleville, Greta C. Dargie, C. Amani, Terry Sunderland, Miguel E. Leal, Stephen Adu-Bredu, Elizabeth Kearsley, Terry Brncic, Suspense Averti Ifo, Martin J. P. Sullivan, Jean-Louis Doucet, Kathryn J. Jeffery, Yadvinder Malhi, Jefferson S. Hall, Vincent P. Medjibe, Olivier J. Hardy, Ted R. Feldpausch, Jean-Remy Makana, Darlington Tuagben, Jan Reitsma, Natacha Nssi Begone, Bonaventure Sonké, Aida Cuni-Sanchez, Sam Moore, Jan Bogaert, Joey Talbot, Lise Zemagho, Marie-Noël Djuikouo Kamdem, Eric Chezeaux, Declan L. M. Cooper, Christelle Gonmadje, Oliver L. Phillips, Georgia Pickavance, Faustin Mbayu Lukasu, Amy C. Bennett, Hannsjoerg Woell, John Tshibamba Mukendi, Lee J. T. White, Lindsay F. Banin, Hans Beeckman, Fidèle Evouna Ondo, Simon L. Lewis, Wannes Hubau, Jason Vleminckx, Aurora Levesley, Corneille E. N. Ewango, and Ernest G. Foli
Subjects: Agriculture and Food Sciences, Hot Temperature, 010504 meteorology & atmospheric sciences, Environmental change, DIVERSITY, drought, 01 natural sciences, Trees, BIOMASS, Soil respiration, CARBON STORAGE, El Nino-Southern Oscillation, 0303 health sciences, Biomass (ecology), Multidisciplinary, Ecology, PRODUCTIVITY, Biological Sciences, Droughts, GROWTH, TREES, CO2, Seasons, ENSO, Biologie, SOIL RESPIRATION, El Nino, Rainforest, Climate Change, MODELS, Climate change, Ecology and Environment, Carbon Cycle, Carbon cycle, 03 medical and health sciences, parasitic diseases, carbon cycle, Humans, El Niño, Precipitation, 030304 developmental biology, 0105 earth and related environmental sciences, Tropical Climate, temperature, Tropics, 15. Life on land, 13. Climate action, cavelab, Environmental science, Tropical rainforest
Abstract: The responses of tropical forests to environmental change are critical uncertainties in predicting the future impacts of climate change. The positive phase of the 2015–2016 El Niño Southern Oscillation resulted in unprecedented heat and low precipitation in the tropics with substantial impacts on the global carbon cycle. The role of African tropical forests is uncertain as their responses to short-term drought and temperature anomalies have yet to be determined using on-the-ground measurements. African tropical forests may be particularly sensitive because they exist in relatively dry conditions compared with Amazonian or Asian forests, or they may be more resistant because of an abundance of drought-adapted species. Here, we report responses of structurally intact old-growth lowland tropical forests inventoried within the African Tropical Rainforest Observatory Network (AfriTRON). We use 100 long-term inventory plots from six countries each measured at least twice prior to and once following the 2015–2016 El Niño event. These plots experienced the highest temperatures and driest conditions on record. The record temperature did not significantly reduce carbon gains from tree growth or significantly increase carbon losses from tree mortality, but the record drought did significantly decrease net carbon uptake. Overall, the long-term biomass increase of these forests was reduced due to the El Niño event, but these plots remained a live biomass carbon sink (0.51 ± 0.40 Mg C ha −1 y −1 ) despite extreme environmental conditions. Our analyses, while limited to African tropical forests, suggest they may be more resistant to climatic extremes than Amazonian and Asian forests., info:eu-repo/semantics/published
Published: 2021

11. Biogeographic history and habitat specialization shape floristic and phylogenetic composition across Amazonian forests

Author: Christopher Baraloto, Jean-Yves Goret, C. E. Timothy Paine, Paul V. A. Fine, Elodie Allie, Jason Vleminckx, Elvis H. Valderrama Sandoval, Freddie Draper, Julien Engel, Nállarett Dávila, Oscar J. Valverde-Barrantes, Juan Ernesto Guevara Andino, Claire Fortunel, Marcos Ríos, Italo Mesones, Pascal Petronelli, Aurélie Dourdain, Florida International University [Miami] (FIU), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Instituto de Investigaciones de la Amazonía Peruana (IIAP), Universidad Nacional de la Amazonía Peruana [Loreto, Perou] (UNAP), University of California [Berkeley], University of California, Universidad de Las Américas [Ecuador] (UDLA), University of New England (UNE), Arizona State University [Tempe] (ASU), University of Leeds, ANR-13-BSV7-0009,NEBEDIV,Le rôle des ennemis naturels dans la diversité béta des arbres tropicaux(2013), and ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010)
Subjects: 0106 biological sciences, Beta diversity, Amazonian, Climate, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 010603 evolutionary biology, 01 natural sciences, Floristics, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Flooded forest, Forest structure, Specialization (functional), parasitic diseases, Peru, Tropical rainforest, Ecology, Evolution, Behavior and Systematics, Phylogenetic tree, Amazon rainforest, Ecology, Community assembly, 010604 marine biology & hydrobiology, White-sand forest, 15. Life on land, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, French Guiana, Geography, Habitat, Soil properties, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: International audience; A major challenge remains to understand the relative contributions of history, dispersal, and environmental filtering to the assembly of hyperdiverse communities across spatial scales. Here, we examine the extent to which biogeographical history and habitat specialization have generated turnover among and within lineages of Amazonian trees across broad geographic and environmental gradients. We replicated standardized tree inventories in 102 0.1-ha plots located in two distant regions—the western Amazon and the eastern Guiana shield. Within each region, we used a nested design to replicate plots on contrasted habitats: white-sand, terra firme, and seasonally flooded forests. Our plot network encompassed 26,386 trees that together represented 2,745 distinct taxa, which we standardized across all plots and regions. We combined taxonomic and phylogenetic data with detailed soil measurements and climatic data to: (1) test whether patterns of taxonomic and phylogenetic composition are consistent with recent or historical processes, (2) disentangle the relative effects of habitat, environment, and geographic distance on taxonomic and phylogenetic turnover among plots, and (3) contrast the proportion of habitat specialists among species from each region. We found substantial species turnover between Peru and French Guiana, with only 8.8% of species shared across regions; genus composition remained differentiated across habitats and regions, whereas turnover at higher taxonomic levels (family, order) was much lower. Species turnover across plots was explained primarily by regions, but also substantially by habitat differences and to a lesser extent by spatial distance within regions. Conversely, the composition of higher taxonomic levels was better explained by habitats (especially comparing white-sand forests to other habitats) than spatial distance. White-sand forests harbored most of the habitat specialists in both regions, with stronger habitat specialization in Peru than in French Guiana. Our results suggest that recent diversification events have resulted in extremely high turnover in species and genus composition with relatively little change in the composition of higher lineages. Our results also emphasize the contributions of rare habitats, such as white-sand forests, to the extraordinary diversity of the Amazon and underline their importance as conservation priorities.
Published: 2021

12. Resolving whole‐plant economics from leaf, stem and root traits of 1467 Amazonian tree species

Author: Jason Vleminckx, Juan Ernesto Guevara, Oscar J. Valverde-Barrantes, C. E. Timothy Paine, Julien Engel, Solène Béroujon, Claire Fortunel, Pascal Petronelli, Aurélie Dourdain, Christopher Baraloto, Florida International University [Miami] (FIU), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of New England (UNE), International Center for Tropical Botany, University of Florida [Gainesville] (UF), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), and ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010)
Subjects: 2. Zero hunger, 0106 biological sciences, Root (linguistics), Amazonian, Neotropical forests, Determinants of plant community diversity and structure, Plant economics, Tree communities, 15. Life on land, Biology, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 010603 evolutionary biology, 01 natural sciences, French Guiana, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Botany, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Tree species, Environmental filtering, Ecology, Evolution, Behavior and Systematics, Functional traits, 010606 plant biology & botany
Abstract: International audience; It remains unclear how evolutionary and ecological processes have shaped the wide variety of plant life strategies, especially in highly diverse ecosystems like tropical forests. Some evidence suggests that species have diversified across a gradient of ecological strategies, with different plant tissues converging to optimize resource use across environmental gradients. Alternative hypotheses propose that species have diversified following independent selection on different tissues, resulting in a decoupling of trait syndromes across organs. To shed light on the subject, we assembled an unprecedented dataset combining 19 leaf, stem and root traits for 1467 tropical tree species inventoried across 71 0.1-ha plots spanning broad environmental gradients in French Guiana. Nearly 50% of the overall functional heterogeneity was expressed along four orthogonal dimensions, after accounting for phylogenetic dependences among species. The first dimension related to fine root functioning, while the second and third dimensions depicted two decoupled leaf economics spectra, and the fourth dimension encompassed a wood economics spectrum. Traits involved in orthogonal functional strategies, five leaf traits in particular but also trunk bark thickness, were consistently associated with a same gradient of soil texture and nutrient availability. Root traits did not show any significant association with edaphic variation, possibly because of the prevailing influence of other factors (mycorrhizal symbiosis, phylogenetic constraints). Our study emphasises the existence of multiple functional dimensions that allow tropical tree species to optimize their performance in a given environment, bringing new insights into the debate around the presence of a whole plant economic spectrum in tropical forest tree communities. It also emphasizes the key role that soil heterogeneity plays in shaping tree species assembly. The extent to which different organs are decoupled and respond to environmental gradients may also help to improve our predictions of species distribution changes in responses to habitat modification and environmental changes.
Published: 2021

13. Amazon tree dominance across forest strata

Author: Draper, Frederick C., Costa, Flavia R. C., Gabriel Arellano, Phillips, Oliver L., Alvaro Duque, Macía, Manuel J., Hans ter Steege, Asner, Gregory P., Erika Berenguer, Juliana Schietti, Socolar, Jacob B., Fernanda Coelho de Souza, Dexter, Kyle G., Jørgensen, Peter M., Sebastian Tello, J., Magnusson, William E., Baker, Timothy R., Castilho, Carolina V., Abel Monteagudo-Mendoza, Fine, Paul V. A., Kalle Ruokolainen, Honorio Coronado, Euridice N., Gerardo Aymard, Nállarett Dávila, Mauricio Sánchez Sáenz, Rios Paredes, Marcos A., Julien Engel, Claire Fortunel, Timothy Paine, C. E., Jean- Yves Goret, Aurelie Dourdain, Pascal Petronelli, Elodie Allie, Guevara Andino, Juan E., Brienen, Roel J. W., Leslie Cayola Pérez, Ângelo, G., Paniagua Zambrana, Narel Y., Jean-François Molino, Daniel Sabatier, Jerôme Chave, Sophie Fauset, Roosevelt Garcia Villacorta, Maxime Réjou-Méchain, Berry, Paul E., Karina Melgaço, Feldpausch, Ted R., Elvis Valderamma Sandoval, Rodolfo Vasquez Martinez, Italo Mesones, Junqueira, André B., Roucoux, Katherine H., Toledo, José J., Andrade, Ana C., José Luís Camargo, Jhon Del, Aguila Pasquel, Santana, Flávia D., Laurance, William F., Laurance, Susan G., Lovejoy, Thomas E., Comiskey, James A., Galbraith, David R., Michelle Kalamandeen, Navarro Aguilar, Gilberto E., Jim Vega Arenas, Amasifuen Guerra, Carlos A., Manuel Flores, Gerardo Flores Llampazo, Torres Montenegro, Luis A., Ricardo Zarate Gomez, Pansonato, Marcelo P., Victor Chama Moscoso, Jason Vleminckx, Valverde Barrantes, Oscar J., Duivenvoorden, Joost F., Sidney Araújo de Sousa, Luzmila Arroyo, Perdiz, Ricardo O., Jessica Soares Cravo, Marimon, Beatriz S., Ben Hur, Marimon Junior, Fernanda Antunes Carvalho, Gabriel Damasco, Mathias Disney, Marcos Salgado Vital, Stevenson Diaz, Pablo R., Alberto Vicentini, Henrique Nascimento, Niro Higuchi, Tinde van Andel, Yadvinder Malhi, Sabina Cerruto, Ribeiro 56, Terborgh, John W., Thomas, Raquel S., Francisco Dallmeier, Adriana Prieto, Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
Subjects: [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2021

14. The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

Author: Cintia Rodrigues de Souza, Ivan Lakyda, Ulrik Ilstedt, Luzmila Arroyo, Jean Claude Konan Koffi, Dennis Del Castillo Torres, Klaus Scipal, Bruno Hérault, Olga V. Trefilova, Krzysztof Stereńczak, Rodolfo Vásquez Martínez, Pulchérie Bissiengou, John T. Woods, Petro Lakyda, Andrii Bilous, Olga V. Moroziuk, Sergey Vasiliev, Casimiro Mendoza, C. Dresel, Jason Vleminckx, José Antonio Manzanera, Thales A.P. West, Ted R. Feldpausch, Hervé Memiaghe, Estella F. Vedrova, Maria Shchepashchenko, Linda See, Hans ter Steege, Samsudin Musa, Nicolas Labrière, Eurídice N. Honorio Coronado, Maxime Réjou-Méchain, Christoph Perger, Terry L. Erwin, Alexei Aleinikov, Ervan Rutishauser, Hannsjorg Woell, Irie Casimir Zo-Bi, Simon L. Lewis, Marcus Vinicio Neves d'Oliveira, Mikhail A. Kuznetsov, N. V. Lukina, Nataly Ascarrunz, Justyna Szatniewska, Lucas Mazzei, Dilshad M. Danilina, Wannes Hubau, V.N. Karminov, Alejandro Araujo-Murakami, Toshinori Okuda, Steffen Fritz, Vladimir G. Radchenko, Edson Vidal, Raisa K. Matyashuk, Martin J. P. Sullivan, Bonaventure Sonké, Toshihiro Yamada, Maksym Matsala, Viktor V. Ivanov, Timothy J. Killeen, Mikhail D. Evdokimenko, John R. Poulsen, Hermann Taedoumg, David F. R. P. Burslem, Zamah Shari Nur Hajar, K. S. Bobkova, Nicholas J. Berry, C. Amani, Eleneide Doff Sotta, Sergey V. Verhovets, Caroline Bedeau, Celso Paulo de Azevedo, Yadvinder Malhi, Ernest Gothard-Bassébé, Verginia Wortel, Kenneth Rodney, N. E. Shevchenko, Antonio García-Abril, Milton Kanashiro, Marcelino Carneiro Guedes, Timothy R. Baker, Maureen Playfair, Leonid Krivobokov, Laurent Descroix, Elena B. Tikhonova, Ernest G. Foli, Sylvie Gourlet-Fleury, Kofi Affum-Baffoe, Keith C. Hamer, Anatoly Shvidenko, Dmitry Schepaschenko, Alfonso Alonso, Olga Martynenko, M. E. Konovalova, Svitlana Bilous, Jan Krejza, Florian Hofhansl, Jan Falck, Luis Valenzuela Gamarra, Abel Monteagudo Mendoza, Stuart J. Davies, John Armston, Vincent A. Vos, Roel J. W. Brienen, Oliver L. Phillips, Andrey Osipov, Wolfgang Wanek, Farida Herry Susanty, Jérôme Chave, Robin B. Foster, Richard Condit, Anders Karlsson, Lilian Blanc, Juan Carlos Licona, Niro Higuchi, Ademir Roberto Ruschel, Stephen P. Hubbell, Stephan A. Pietsch, Radomir Bałazy, Marisol Toledo, Ben Hur Marimon Junior, Ruben Valbuena, Richard Lucas, Luís Cláudio de Oliveira, P. V. Ontikov, Nadezhda A. Vladimirova, Daniel Lussetti, Florian Kraxner, Aida Cuni-Sanchez, Andes Hamuraby Rozak, Foma K. Vozmitel, Maria Gornova, Marcos Silveira, Plinio Sist, A. V. Gornov, Tatyana Braslavskaya, Haruni Krisnawati, Leonid Stonozhenko, D. I. Nazimova, James Singh, Géraldine Derroire, Liudmila Mukhortova, Beatriz Schwantes Marimon, Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Smithsonian Tropical Research Institute, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Forêts et Sociétés (Cirad-Es-UPR 105 Forêts et Sociétés), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), European Space Research and Technology Centre (ESTEC), European Space Agency (ESA), Commissariat général du Plan (CGP), Premier ministre, AgroParisTech, Mensurat Unit, Forestry Research Institute of Ghana, Smithsonian Conservation Biology Institute, Universidad Autonoma Gabriel René Moreno (UAGRM), University of Maryland [College Park], University of Maryland System, Missouri Botanical Garden (USA), Instituto Boliviano de Investigacion Forestal (IBIF), Universidade Federal do Espírito Santo (UFES), ONF - Direction régionale de la Guyane [Cayenne], Office National des Forêts (ONF), Centre national de la recherche scientifique et technologique (CENAREST), CENAREST, School of Geography [Leeds], University of Leeds, Dept Geog, University College of London [London] (UCL), Brazilian Agricultural Research Corporation (Embrapa), International Institute for Applied Systems Analysis [Laxenburg] (IIASA), Embrapa Amapa, Forestry Research and Development Agency (FORDA), Instituto Nacional de Pequisas da Amazônia, Instituto National de Pequisas da Amazonia Brazil, Royal Museum for Central Africa [Tervuren] (RMCA), Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Laboratoire de Mathématiques de Neuchâtel, Fond National Suisse, International Institute for Applied Systems Analysis (IIASA), Moscow Institute of Physics and Technology [Moscow] (MIPT), Department of Geography and Earth Sciences (DGES), Aberystwyth University, Environmental Change Institute, University of Oxford [Oxford], Universidade Federal do Mato Grosso (UFMT), Instituto de Manejo Forestal, Institute of Silviculture, Department of Forest and Soil Sciences, Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU), Institute for Evolutionary Ecology (IEE), National Academy of Sciences of Ukraine (NASU), CarboForExpert, Universidade Federal do Acre (UFAC), Université Libre de Bruxelles [Bruxelles] (ULB), University of Yaoundé [Cameroun], Naturalis Biodiversity Center [Leiden], Escola Superior de Agricultura Luiz de Queiroz, University of São Paulo, Department of Integrative Biology [Berkeley] (IB), University of California [Berkeley], University of California-University of California, Biodiversity Department, Center for Agricultural Research in Suriname (CELOS), Graduate School of Integrated Arts and Sciences, Hiroshima University, DMITRY SCHEPASCHENKO, SAMSUDIN MUSA, DINA I. NAZIMOVA, TOSHINORI OKUDA, PETR V. ONTIKOV, ANDREY F. OSIPOV, STEPHAN PIETSCH, MAUREEN PLAYFAIR, JOHN POULSEN, VLADIMIR G. RADCHENKO, KENNETH RODNEY, ANDES H. ROZAK, ERVAN RUTISHAUSER, LINDA SEE, MARIA SHCHEPASHCHENKO, RAISA K. MATYASHUK, MAKSYM MATSALA, OLGA V. MARTYNENKO, RODOLFO VASQUEZ MARTINEZ, BEN HUR MARIMON JUNIOR, BEATRIZ MARIMON, JOSÉ ANTONIO MANZANERA, FLORIAN HOFHANSL, MARCELINO CARNEIRO GUEDES, CPAF-AP, LUCAS JOSE MAZZEI DE FREITAS, CPATU, PETRO I. LAKYDA, JUAN CARLOS LICONA, JÉRÔME CHAVE, OLIVER L. PHILLIPS, SIMON L. LEWIS, STUART J. DAVIES, MAXIME RÉJOU-MÉCHAIN, PLINIO SIST, KLAUS SCIPAL, CHRISTOPH PERGER, BRUNO HERAULT, NICOLAS LABRIÈRE, KOFI AFFUM-BAFFOE, ALEXEI ALEINIKOV, ALFONSO ALONSO, CHRISTIAN AMANI, ALEJANDRO ARAUJO-MURAKAMI, JOHN ARMSTON, LUZMILA ARROYO, NATALY ASCARRUNZ, CELSO PAULO DE AZEVEDO, CPAA, TIMOTHY BAKER, RADOMIR BALAZY, CAROLINE BEDEAU, NICHOLAS BERRY, ANDRII M. BILOUS, SVITLANA YU. BILOUS, PULCHÉRIE BISSIENGOU, LILIAN BLANC, KAPITOLINA S. BOBKOVA, TATYANA BRASLAVSKAYA, ROEL BRIENEN, DAVID F. R. P. BURSLEM, RICHARD CONDIT, AIDA CUNI-SANCHEZ, DILSHAD DANILINA, DENNIS DEL CASTILLO TORRES, GÉRALDINE DERROIRE, LAURENT DESCROIX, ELENEIDE DOFF SOTTA, MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC, CHRISTOPHER DRESEL, TERRY ERWIN, MIKHAIL D. EVDOKIMENKO, JAN FALCK, TED R. FELDPAUSCH, ERNEST G. FOLI, ROBIN FOSTER, STEFFEN FRITZ, ANTONIO DAMIAN GARCIA-ABRIL, ALEKSEY GORNOV, MARIA GORNOVA, ERNEST GOTHARD-BASSÉBÉ, SYLVIE GOURLET-FLEURY, KEITH C. HAMER, FARIDA HERRY SUSANTY, NIRO HIGUCHI, EURÍDICE N. HONORIO CORONADO, WANNES HUBAU, STEPHEN HUBBELL, ULRIK ILSTEDT, VIKTOR V. IVANOV, MILTON KANASHIRO, CPATU, ANDERS KARLSSON, VIKTOR N. KARMINOV, TIMOTHY KILLEEN, JEAN-CLAUDE KONAN KOFFI, MARIA KONOVALOVA, FLORIAN KRAXNER, JAN KREJZA, HARUNI KRISNAWATI, LEONID V. KRIVOBOKOV, MIKHAIL A. KUZNETSOV, IVAN LAKYDA, RICHARD M. LUCAS, NATALIA LUKINA, DANIEL LUSSETTI, YADVINDER MALHI, NIKOLAY SHEVCHENKO, ANATOLY SHVIDENKO, MARCOS SILVEIRA, JAMES SINGH, BONAVENTURE SONKÉ, CINTIA RODRIGUES DE SOUZA, CPAA, KRZYSZTOF STERENCZAK, LEONID STONOZHENKO, MARTIN J. P. SULLIVAN, JUSTYNA SZATNIEWSKA, HERMANN TAEDOUMG, HANS TER STEEGE, ELENA TIKHONOVA, MARISOL TOLEDO, OLGA V. TREFILOVA, RUBEN VALBUENA, LUIS VALENZUELA GAMARRA, SERGEY VASILIEV, ESTELLA F. VEDROVA, SERGEY V. VERHOVETS, EDSON VIDAL, NADEZHDA A. VLADIMIROVA, JASON VLEMINCKX, VINCENT A. VOS, FOMA K. VOZMITEL, WOLFGANG WANEK, THALES A. P. WEST, HANNSJORG WOELL, JOHN T. WOODS, VERGINIA WORTEL, TOSHIHIRO YAMADA, ZAMAH SHARI NUR HAJAR, IRIÉ CASIMIR ZO-BI., LUIS CLAUDIO DE OLIVEIRA, CPAF-AC, HERVÉ MEMIAGHE, ADEMIR ROBERTO RUSCHEL, CPATU, CASIMIRO MENDOZA, ABEL MONTEAGUDO MENDOZA, OLGA V. MOROZIUK, LIUDMILA MUKHORTOVA, Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Missouri Botanical Garden, Universidade Federal do Espirito Santo (UFES), Université libre de Bruxelles (ULB), Systems Ecology, Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Agence Spatiale Européenne = European Space Agency (ESA), Office national des forêts (ONF), University of Oxford, Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Universidade de São Paulo = University of São Paulo (USP), University of California [Berkeley] (UC Berkeley), and University of California (UC)-University of California (UC)
Subjects: DYNAMICS, 0106 biological sciences, Canopy, Monitoreo de bosques, Data Descriptor, 010504 meteorology & atmospheric sciences, DIVERSITY, Biomasa, Biomassa, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 7. Clean energy, 01 natural sciences, biomasse aérienne des arbres, Forest Observation System (FOS), CARBON STORAGE, K01 - Foresterie - Considérations générales, Teledetección, Biomass, NETWORK, Greenhouse gas accounting, lcsh:Science, SDG 15 - Life on Land, Biomass (ecology), Evaluación de los recursos forestales, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Renewable energy, Computer Science Applications, aaaaaaaaaaaaaaaaaaaaa, Biogeography, Manejo Florestal, Forêt, P01 - Conservation de la nature et ressources foncières, SENSITIVITY, Statistics, Probability and Uncertainty, Banque de données, Environmental Monitoring, Sensoriamento Remoto, ABOVEGROUND BIOMASS, Information Systems, Statistics and Probability, Conservation of Natural Resources, Forest biomass, P40 - Météorologie et climatologie, Télédétection, Ecologia Florestal, Library and Information Sciences, 010603 evolutionary biology, Education, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Forest ecology, Ecosystem, RATES, atténuation des effets du changement climatique, 0105 earth and related environmental sciences, business.industry, bbbbbbbbbbbbbbbbb, 15. Life on land, cartographie des fonctions de la forêt, Climate change mitigation, Bosque tropical, 13. Climate action, Earth and Environmental Sciences, DENSITY, Remote Sensing Technology, PATTERNS, Environmental science, lcsh:Q, Physical geography, U30 - Méthodes de recherche, Réchauffement global, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Scale (map), business, ccccccccccccccccccccc
Abstract: Forest biomass is an essential indicator for monitoring the Earth’s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world’s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities., Measurement(s)above-ground biomass • organic materialTechnology Type(s)tree species census • measurement methodFactor Type(s)geographic location • tree speciesSample Characteristic - Environmentforest biomeSample Characteristic - LocationEarth (planet) Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.9850571
Published: 2019

15. Long-term thermal sensitivity of Earth's tropical forests

Author: Bruno Herault, Peter J. Van Der Meer, Jean-François Bastin, Aurora Levesley, Michael D. Swaine, Rodolfo Vásquez Martínez, Martin Dančák, Matt Bradford, Frans Bongers, Stuart J. Davies, Reuben Nilus, Adriano José Nogueira Lima, Lip Khoon Kho, Edmar Almeida de Oliveira, Joey Talbot, Richard F. Preziosi, Jagoba Malumbres-Olarte, James A. Comiskey, Thalès de Haulleville, José Luís Camargo, Terese B. Hart, Juliana Schietti, Peter S. Ashton, Thomas E. Lovejoy, Ophelia Wang, Kanehiro Kitayama, Francis Q. Brearley, Peter van der Hout, Amy C. Bennett, Janvier Lisingo, Luis Valenzuela Gamarra, Lily Rodriguez Bayona, Zorayda Restrepo Correa, Jérôme Chave, Connie J. Clark, Christopher Baraloto, Gerardo Aymard, Serge K. Begne, Kofi Affum-Baffoe, Abel Monteagudo-Mendoza, Geertje M. F. van der Heijden, Fernanda Coelho de Souza, Timothy R. Baker, Rahayu Sukmaria Sukri, Julie Peacock, Hermann Taedoumg, Simon L. Lewis, Yahn Carlos Soto Shareva, Greta C. Dargie, Murielle Simo-Droissart, David Harris, Faizah Metali, Hans ter Steege, Richard Lowe, Géraldine Derroire, Benoit Burban, Camila Silva Valeria, Martin Svátek, Wannes Hubau, Sarah A. Batterman, Vincent A. Vos, Elizabeth Kearsley, Peter M. Umunay, Martin J. P. Sullivan, Flávia R. C. Costa, Hans Verbeeck, Maria Cristina Peñuela Mora, John R. Poulsen, Simon Willcock, Simone Aparecida Vieira, Jean-Louis Doucet, Foster Brown, Yadvinder Malhi, Luisa Fernanda Duque, Ronald Vernimmen, Miguel E. Leal, Alan Hamilton, Martin Gilpin, Colin R. Maycock, Carlos Cerón, Radim Hédl, Oliver L. Phillips, Walter Huaraca Huasco, Jon C. Lovett, Beatriz Schwantes Marimon, Roderick Zagt, Ted R. Feldpausch, Gabriela Lopez-Gonzalez, Ima Célia Guimarães Vieira, Pascal Boeckx, Roel J. W. Brienen, Marcelo F. Simon, Keith C. Hamer, Alberto Vicentini, Corneille E. N. Ewango, Clément Stahl, Javier Silva Espejo, Ana Andrade, Anand Roopsind, Erika Berenguer, Pieter A. Zuidema, Vianet Mihindou, Murray Collins, Simone Matias Reis, Emilio Vilanova Torre, Kathryn J. Jeffery, Marie Noël Kamdem Djuikouo, Terry Brncic, Percy Núñez Vargas, John Terborgh, Paulo S. Morandi, Bonaventure Sonké, Jan Bogaert, William E. Magnusson, Lilian Blanc, Terry L. Erwin, Ervan Rutishauser, Anthony Di Fiore, Isau Huamantupa-Chuquimaco, Edward T. A. Mitchard, Massiel Corrales Medina, Nicholas J. Berry, Juliana Stropp, Maureen Playfair, Luzmila Arroyo, Douglas Sheil, Armando Torres-Lezama, David A. Neill, Sean C. Thomas, Eric Arets, Ernest G. Foli, Lola da Costa, Ricardo Keichi Umetsu, Lan Qie, James Singh, Lise Zemagho, Agustín Rudas, Richard B. Primack, Jan Reitsma, Annette Hladik, Alexander K. Koch, Colin A. Pendry, Walter A. Palacios, Sabina Cerruto Ribeiro, Nicolas Labrière, Fernando Elias, Eric Chezeaux, William Milliken, Manuel Gloor, Romeo Ekoungoulou, Jefferson S. Hall, Henrique E. M. Nascimento, Susan G. Laurance, Axel Dalberg Poulsen, Marcos Silveira, Carolina V. Castilho, Plínio Barbosa de Camargo, Eurídice N. Honorio Coronado, Kamariah Abu Salim, Joeri A. Zwerts, Marcelo Brilhante de Medeiros, Jos Barlow, Georgia Pickavance, Joice Ferreira, Mark van Nieuwstadt, Jorcely Barroso, Andrew R. Marshall, Miguel Alexiades, Lindsay F. Banin, Terry Sunderland, Lourens Poorter, Alejandro Araujo-Murakami, Varun Swamy, Rafael Herrera, Hans Beeckman, Gerardo Flores Llampazo, Shin-ichiro Aiba, Adriane Esquivel-Muelbert, Michelle Kalamandeen, Adriana Prieto, Ben Hur Marimon, Casimiro Mendoza, Victor Chama Moscoso, Eliana Jimenez-Rojas, Hirma Ramírez-Angulo, Maxime Réjou-Méchain, Vincent Droissart, Nigel C. A. Pitman, Hannah L. Mossman, Everton Cristo de Almeida, Fernando Cornejo Valverde, Ângelo Gilberto Manzatto, Aurélie Dourdain, Luiz E. O. C. Aragão, Raquel Thomas, David W. Galbraith, Kenneth R. Young, Nallaret Davila Cardozo, Timothy J. Killeen, Rafael de Paiva Salomão, Bente B. Klitgaard, James Taplin, Damien Bonal, Karina Melgaço, William F. Laurance, Jason Vleminckx, Esteban Alvarez Dávila, Verginia Wortel, Richarlly da Costa Silva, Thaiane Rodrigues de Sousa, Sophie Fauset, Nadir Pallqui Camacho, Wendeson Castro, Toby R. Marthews, Fabricio Beggiato Baccaro, John T. Woods, David Taylor, Patricia Alvarez Loayza, Andrew Ford, Niro Higuchi, Aida Cuni Sanchez, Aline Pontes Lopes, Laszlo Nagy, John Pipoly, Lee J. T. White, Jhon del Aguila Pasquel, European Research Council, European Commission, Royal Society (UK), Leverhulme Trust, Gordon and Betty Moore Foundation, David and Lucile Packard Foundation, Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Agence Nationale de la Recherche (France), Missouri Botanical Garden, Smithsonian Institution, Wildlife Conservation Society, National Geographic Society, Centre for International Forestry Research, Agence Nationale Des Parcs Nationaux (Gabon), University of Leeds, Mensurat Unit, Forestry Research Institute of Ghana, Centro de Pesquisa Agroflorestal de Roraima, Brazilian Agricultural Research Corporation (Embrapa), Sch Geog, University of Nottingham, Department of Biology, Higher Teachers Training College (HTTC), Université deYaoundé I, School of Geography [Leeds], University of Edinburgh, School of Geography and the Environment, Environmental Change Institute, University of Oxford [Oxford], Grad Sch Sci & Engn, Kagoshima University, University of Kent [Canterbury], Universidade Federal do Mato Grosso (UFMT), Universidad Nacional de Colombia, Duke University [Durham], Instituto Nacional de Pesquisas da Amazônia (INPA), University of Campinas [Campinas] (UNICAMP), National Institute for Space Research [Sao José dos Campos] (INPE), Universidad Autonoma Gabriel René Moreno (UAGRM), Wageningen University and Research [Wageningen] (WUR), Dept Organism & Evolutionary Biol, Harvard University [Cambridge], Ecologie des forêts de Guyane (ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université des Antilles et de la Guyane (UAG)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Universidade de São Paulo (USP), Universidade Federal do Acre (UFAC), Research Unit of Landscape Ecology and Plant Production Systems, Université libre de Bruxelles (ULB), School of Engineering and Science, Jacobs University [Bremen], Lancaster Environment Centre, Lancaster University, Sch Geosci, Laboratory of Applied Physical Chemistry, Universiteit Gent = Ghent University [Belgium] (UGENT), Biodiversité et Paysage, Université de Liège - Gembloux, Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Forest Ecol & Forest Management Grp, CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Woods Hole Research Center, Partenaires INRAE, Herbario Alfredo Paredes, Universidad Agraria del Ecuador, Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Evolution et Diversité Biologique (EDB), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Rougier Gabon, Andes to Amazon Biodiversity Program, Federal University of Para - Universidade Federal do Para [Belem - Brésil], Smithsonian Tropical Research Institute, Universidad Nacional de la Amazonía Peruana [Loreto, Perou] (UNAP), AgroParisTech, University of Texas at Austin [Austin], Université de Liège, Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire des Milieux Désordonnés et Hétérogènes (LMDH), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Commonwealth Scientific & Industrial Research Organisation (CSIRO), Royal Botanic Gardens, Czech Academy of Sciences [Prague] (CAS), Commissariat général du Plan (CGP), Premier ministre, Instituto Nacional de Pequisas da Amazônia, Instituto National de Pequisas da Amazonia Brazil, Éco-Anthropologie (EAE), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS), Agence Nationale des Parcs Nationaux, Agence Nationale des Parcs Nationaux, BP 30 379 Libreville, Gabon, Malaysian Palm Oil Board, Kyoto University, Institute of Inorganic and Analytical Chemistry, Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], James Cook University (JCU), Laboratoire d'Etude de l'Apprentissage et du Développement [Dijon] (LEAD), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB), Coordenac Bao de Pesquisas em Ecologia, Universidade do Estado de Mato Grosso (UNEMAT), University of Mary Washington, Chercheur indépendant, Royal Botanic Garden , Kew, Department of Biochemistry and Molecular Biology, Medical and Health Science Center, Instituto Superior Técnico, Universidade Técnica de Lisboa (IST), Universidad Estatal Amazonica, Forest Research Centre (FRC), Forest Ecology and Forest Management Group, Natural History Museum [Oslo], University of Oslo (UiO), Bur Waarderburg, Iwokrama International Centre for Rainforest Conservation and Development, CarboForExpert, Museu Paraense Emílio Goeldi [Belém, Brésil] (MPEG), Center for International Forestry Research (CIFOR), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), University of Yaoundé [Cameroun], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Institute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, Plant Systemat & Ecol Lab, Université de Yaoundé I, Department of Neurology, Great Ormond Street Hospital for Children [London] (GOSH), Naturalis Biodiversity Center [Leiden], Division of Marine Science and Conservation, Nicholas School of the Environment, Instituto de Investigaciones para el Desarrollo Forestal, Universidad de los Andes [Bogota] (UNIANDES), University of Wisconsin - Milwaukee, Van der Hout Forestry Consulting, University Medical Center Groningen [Groningen] (UMCG), Computational & Applied Vegetation Ecology (CAVElab), Department of Integrative Biology [Berkeley] (IB), University of California [Berkeley], University of California-University of California, Sch Earth Sci & Environm Sustainabil, Northern Arizona University [Flagstaff], University of Stirling, Biol Sci, Liverpool John Moore University (ljmu), Biodiversity Department, Center for Agricultural Research in Suriname (CELOS), Sub Ecology and Biodiversity, Sub Animal Ecology, Ecology and Biodiversity, Animal Ecology, and Systems Ecology
Subjects: 0106 biological sciences, Tropical trees, Hot Temperature, 010504 meteorology & atmospheric sciences, Earth, Planet, Climate, Acclimatization, Tropical forest carbon stocks, Bos- en Landschapsecologie, Growth, Forests, Atmospheric sciences, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 01 natural sciences, Trees, Tropical climate, SDG 13 - Climate Action, Forest and Landscape Ecology, Biomass, Photosynthesis, Hectare, Productivity, Biomass (ecology), Multidisciplinary, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, PE&RC, Wood, Productivity (ecology), Vegetatie, Bos- en Landschapsecologie, C180 Ecology, Tree, Leaf Respiration, Carbon-Cycle Feedbacks, Climate Change, Climate change and forestry, Climate change, 010603 evolutionary biology, Carbon cycle, Carbon Cycle, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Life Science, Bosecologie en Bosbeheer, Vegetatie, 0105 earth and related environmental sciences, Tropical Climate, Vegetation, Global warming, Tropics, 15. Life on land, Forest Ecology and Forest Management, Carbon, CO₂ Fertilization, 13. Climate action, Environmental science, Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Acclimation
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., Our plot monitoring networks havebeen supported by multiple grants from a large number of funding bodies: European Research Council; Natural Environment Research Council; European Union’s Fifth, Sixth, and Seventh Framework Programme; Royal Society, Leverhulme Trust; Gordon and Betty Moore Foundation; David and Lucile Packard Foundation; State of São Paulo Research Foundation (FAPESP); National Council for Science and Technology Development of Brazil (CNPq); Agence Nationale de la Recherche; Conservation International; Missouri Botanical Garden; Smithsonian Institution; Wildlife Conservation Society; National Geographic Society; Centre for International Forestry; and Gabon’s National Park Agency.
Published: 2020

16. Tree communities and soil properties influence fungal community assembly in neotropical forests

Author: Gaelle Jaouen, Jason Vleminckx, Audrey Sagne, Julien Engel, Christopher Baraloto, Heidy Schimann, Sophie Manzi, Eliane Louisanna, Mélanie Roy, Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Biological Sciences [Miami], Florida International University [Miami] (FIU), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), Université des Antilles (UA)-Centre National de la Recherche Scientifique (CNRS)-Université de Guyane (UG)-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Florida International University (FIU), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), ANR-10-LABX-25-01/10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, habitat, Rainforest, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 010603 evolutionary biology, 01 natural sciences, diversity, Trees, forest, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Polyporales, macrofungi, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Ecological niche, Diversity, biology, Ecology, Communities, Macrofungi, Soil chemistry, Tropics, trees, 15. Life on land, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, biology.organism_classification, communities, lowland neotropical rain, Habitat, Lowland neotropical rain forest, composition, soil properties, Soil water, Species richness, Soil properties, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Composition
Abstract: The influence exerted by tree communities, topography, and soil chemistry on the assembly of macrofungal communities remains poorly understood, especially in highly diverse tropical forests. Here, we used a large dataset that combines inventories of macrofungal Basidiomycetes fruiting bodies, tree species composition, and measurements for 16 soil physicochemical parameters, collected in 34 plots located in four sites of lowland rain forests in French Guiana. Plots were established on three different topographical conditions: hilltop, slope, and seasonally flooded soils. We found hyperdiverse Basidiomycetes communities, mainly comprising members of Agaricales and Polyporales. Phosphorus, clay contents, and base saturation in soils strongly varied across plots and shaped the richness and composition of tree communities. The latter composition explained 23% of the variation in the composition of macrofungal communities, probably through high heterogeneity of the litter chemistry and selective effects of biotic interactions. The high local heterogeneity of habitats influenced the distribution of both macrofungi and trees, as a result of diversed local soil hydromorphic conditions associated with contrasting soil chemistry. This first regional study across habitats of French Guiana forests revealed new niches for macrofungi, such as ectomycorrhizal ones, and illustrates how macrofungi inventories are still paramount to can be to understand the processes at work in the tropics. in Spanish is available with online material.
Published: 2020

17. Testing and interpreting the shared space-environment fraction in variation partitioning analyses of ecological data

Author: David Bauman, Jason Vleminckx, Olivier J. Hardy, and Thomas Drouet
Subjects: 0106 biological sciences, Spatial correlation, 010604 marine biology & hydrobiology, 010603 evolutionary biology, 01 natural sciences, Statistical power, Tree (data structure), Sampling design, Quadrat, Spatial dependence, Scale (map), Biological system, Ecology, Evolution, Behavior and Systematics, Mathematics, Type I and type II errors
Abstract: Variation partitioning analyses combined with spatial predictors (Moran's eigenvector maps, MEM) are commonly used in ecology to test the fractions of species abundance variation purely explained by environment and space. However, while these pure fractions can be tested using a classical residuals permutation procedure, no specific method has been developed to test the shared space‐environment fraction (SSEF). Yet, the SSEF is expected to encompass a major driver of community assembly, that is, an induced spatial dependence effect (ISD; i.e. the reflection of a spatially structured habitat filter on a species distribution). A reliable test of this fraction is therefore crucial to properly test the presence of an ISD on ecological data. To bridge the gap, we propose to test the SSEF through spatially‐constrained null models: torus‐translations, and Moran spectral randomisations. We investigated the type I error rate and statistical power of our method based on two real environmental datasets and simulations of tree distributions. Ten types of tree distribution displaying contrasted aggregation properties were simulated, and their abundances were sampled in 153 regularly‐distributed 20 × 20 m quadrats. The SSEF was tested for 1000 simulated tree distributions either unrelated to the environment, or filtered by environmental variables displaying contrasting spatial structures. The method proposed provided a correct type I error rate ( 0.9) when abundances were filtered by an environmental variable structured at broad scale. However, the spatial resolution allowed by the sampling design limited the power of the method when using a fine‐scale filtering variable. This highlighted that an ISD can be properly detected providing that the spatial pattern of the filtering process is correctly captured by the sampling design of the study. An R function to apply the SSEF testing method is provided and detailed in a tutorial.
Published: 2018

18. Coordinated community structure among trees, fungi and invertebrate groups in Amazonian rainforests

Author: Christopher Baraloto, Jason Vleminckx, Gaëlle Jaouen, Julien Engel, Thibaud Decaëns, Pascal Petronelli, Aurélie Dourdain, Jérôme Orivel, Mélanie Fichaux, Heidy Schimann, Mélanie Roy, Emmanuel Lapied, Vincent Vedel, Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Florida International University [Miami] (FIU), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Evolution et Diversité Biologique (EDB), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Taxonomia International Foundation, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Florida International University (FIU), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0301 basic medicine, Amazonian, lcsh:Medicine, forêt tropicale, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Trees, Interactions biologiques, Soil, 0302 clinical medicine, Taxonomic rank, lcsh:Science, Phylogeny, Trophic level, Multidisciplinary, Ecology, Community structure, Edaphic, Biodiversity, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Tropical ecology, Écologie des populations, French Guiana, L20 - Écologie animale, P01 - Conservation de la nature et ressources foncières, Communauté végétale, Assembly rules, Rainforest, F40 - Écologie végétale, Distribution géographique, Invertébré, Champignon, Biology, Arbre, Article, 03 medical and health sciences, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Animals, Community ecology, Ecosystem, Invertebrate, Tropical Climate, Ants, lcsh:R, Fungi, 15. Life on land, Invertebrates, biodiversité forestière, 030104 developmental biology, lcsh:Q, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, 030217 neurology & neurosurgery
Abstract: Little is known regarding how trophic interactions shape community assembly in tropical forests. Here we assess multi-taxonomic community assembly rules using a rare standardized coordinated inventory comprising exhaustive surveys of five highly-diverse taxonomic groups exerting key ecological functions: trees, fungi, earthworms, ants and spiders. We sampled 36 1.9-ha plots from four remote locations in French Guiana including precise soil measurements, and we tested whether species turnover was coordinated among groups across geographic and edaphic gradients. All species group pairs exhibited significant compositional associations that were independent from soil conditions. For some of the pairs, associations were also partly explained by soil properties, especially soil phosphorus availability. Our study provides evidence for coordinated turnover among taxonomic groups beyond simple relationships with environmental factors, thereby refining our understanding regarding the nature of interactions occurring among these ecologically important groups.
Published: 2019

19. The influence of spatially structured soil properties on tree community assemblages at a landscape scale in the tropical forests of southern Cameroon

Author: Adeline Fayolle, Achille Bernard Biwolé, Jason Vleminckx, Kasso Daïnou, Jean-Louis Doucet, Julie Morin-Rivat, Thomas Drouet, Olivier J. Hardy, Anaïs Gorel, Jean-François Gillet, and David Bauman
Subjects: 0106 biological sciences, Ecology, Species distribution, Edaphic, Plant community, Plant Science, Spatial distribution, 010603 evolutionary biology, 01 natural sciences, Abundance (ecology), Environmental science, Biological dispersal, Physical geography, Tropical and subtropical moist broadleaf forests, Relative species abundance, Ecology, Evolution, Behavior and Systematics, 010606 plant biology & botany
Abstract: Summary Species distribution within plant communities results from both the influence of deterministic processes, related to environmental conditions, and neutral processes related to dispersal limitation and stochastic events, the relative importance of each factor depending on the observation scale. Assessing the relative contribution of environment necessitates controlling for spatial dependences among data points. Recent methods, combining multiple regression and Moran's eigenvectors maps (MEM), have been proved successful in disentangling the influence of pure spatial processes related to dispersal limitation, pure environmental variables (not spatially structured) and spatially structured environmental properties. However, the latter influence is usually not testable when using advanced spatial models like MEM. To overcome this issue, we propose an original approach, based on torus-translations and Moran spectral randomizations, to test the fraction of species abundance variation that is jointly explained by space and seven soil variables, using three environmental and tree species abundance data sets (consisting of 120, 52 and 34 plots of 0·2 ha each, located along 101-, 66- and 35-km-long transect-like inventories, respectively) collected in tropical moist forests in southern Cameroon. The overall abundance of species represented by ≥30 individuals, and 27% of these species taken individually, were significantly explained by fine-scale (
Published: 2016

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

Author: Gabriela Lopez-Gonzalez, David A. Coomes, Connie J. Clark, Hannsjörg Wöll, Douglas Sheil, Kofi Affum-Baffoe, Geertje M. F. van der Heijden, Katharine Abernethy, Hans Verbeeck, John Tshibamba Mukendi, Ted R. Feldpausch, Terese B. Hart, Sam Moore, Robert Bitariho, Francesco Rovero, Joey Talbot, Lise Zemagho, C. Amani, Jefferson S. Hall, Sean C. Thomas, Amy C. Bennett, Pascal Boeckx, Aida Cuni-Sanchez, Armandu K. Daniels, Fabrice Bénédet, Yadvinder Malhi, Alusine Fofanah, John R. Poulsen, David Kenfack, Lindsay F. Banin, Janvier Lisingo, Hans Beeckman, Jean-Louis Doucet, Eric Chezeaux, Emanuel Gloor, Mireille Breuer-Ndoundou Hockemba, Timothy R. Baker, Jan Reitsma, Vincent P. Medjibe, Christelle Gonmadje, Axel Dalberg Poulsen, Marie Noel Djuikouo Kamdem, Fidèle Baya, Serge K. Begne, Patrick Boundja, Adriane Esquivel-Muelbert, Lucas Ojo, Roel J. W. Brienen, Hermann Taedoumg, Natacha Nssi Bengone, Benjamin Toirambe, Lan Qie, Jon C. Lovett, Greta C. Dargie, Elizabeth Kearsley, Darlington Tuagben, George B. Chuyong, Sylvie Gourlet-Fleury, Fidèle Evouna Ondo, Terry Brncic, Pantaleo K. T. Munishi, Martin J. P. Sullivan, Tommaso Jucker, Simon Willcock, Yannick Enock Bocko, Emanuel H. Martin, Vianet Mihindou, Kelvin S.-H. Peh, Kathryn J. Jeffery, Simon L. Lewis, Emmanuel Kasongo Yakusu, Jean-Remy Makana, Andrew R. Marshall, Martin Gilpin, Bonaventure Sonké, Jeremy A. Lindsell, Faustin M. Mbayu, Corneille E. N. Ewango, Wannes Hubau, Suspense Averti Ifo, Peter M. Umunay, Duncan W. Thomas, Edward T. A. Mitchard, Ernest G. Foli, Lee J. T. White, Jaccques M. Mukinzi, Georgia Pickavance, James Taplin, Terry Sunderland, Annette Hladik, Stephen Adu-Bredu, Jason Vleminckx, Oliver L. Phillips, Sophie Fauset, Alexander K. Koch, David Harris, Miguel E. Leal, Alan Hamilton, Aurora Levesley, Michael D. Swaine, James A. Comiskey, Thalès de Haulleville, John T. Woods, David Taylor, Jim Martin, and Murray Collins
Subjects: 0106 biological sciences, Carbon Sequestration, 010504 meteorology & atmospheric sciences, Rainforest, Carbon sequestration, Forests, Atmospheric sciences, 010603 evolutionary biology, 01 natural sciences, History, 21st Century, Sink (geography), Trees, chemistry.chemical_compound, Forest ecology, Tropical climate, Life Science, Biomass, 0105 earth and related environmental sciences, Carbon dioxide in Earth's atmosphere, geography, Tropical Climate, Multidisciplinary, geography.geographical_feature_category, Atmosphere, Temperature, Carbon sink, Carbon Dioxide, History, 20th Century, Models, Theoretical, Droughts, chemistry, Carbon dioxide, Africa, Environmental science, C180 Ecology, Brazil
Abstract: Structurally intact tropical forests sequestered about half of the global terrestrial carbon uptake over the 1990s and early 2000s, removing about 15 per cent of anthropogenic carbon dioxide emissions1,2,3. Climate-driven vegetation models typically predict that this tropical forest ‘carbon sink’ will continue for decades4,5. Here we assess trends in the carbon sink using 244 structurally intact African tropical forests spanning 11 countries, compare them with 321 published plots from Amazonia and investigate the underlying drivers of the trends. The carbon sink in live aboveground biomass in intact African tropical forests has been stable for the three decades to 2015, at 0.66 tonnes of carbon per hectare per year (95 per cent confidence interval 0.53–0.79), in contrast to the long-term decline in Amazonian forests6. Therefore the carbon sink responses of Earth’s two largest expanses of tropical forest have diverged. The difference is largely driven by carbon losses from tree mortality, with no detectable multi-decadal trend in Africa and a long-term increase in Amazonia. Both continents show increasing tree growth, consistent with the expected net effect of rising atmospheric carbon dioxide and air temperature7,8,9. Despite the past stability of the African carbon sink, our most intensively monitored plots suggest a post-2010 increase in carbon losses, delayed compared to Amazonia, indicating asynchronous carbon sink saturation on the two continents. A statistical model including carbon dioxide, temperature, drought and forest dynamics accounts for the observed trends and indicates a long-term future decline in the African sink, whereas the Amazonian sink continues to weaken rapidly. Overall, the uptake of carbon into Earth’s intact tropical forests peaked in the 1990s. Given that the global terrestrial carbon sink is increasing in size, independent observations indicating greater recent carbon uptake into the Northern Hemisphere landmass10 reinforce our conclusion that the intact tropical forest carbon sink has already peaked. This saturation and ongoing decline of the tropical forest carbon sink has consequences for policies intended to stabilize Earth’s climate.
Published: 2019

21. High spatial resolution of late-Holocene human activities in the moist forests of central Africa using soil charcoal and charred botanical remains

Author: Olivier J. Hardy, Nils Bourland, Jason Vleminckx, Jean-Louis Doucet, Julie Morin-Rivat, Achille Biwolé, Anaïs Gorel, Kasso Daïnou, Alexandre Livingstone Smith, Jean-François Gillet, Laurent Dedry, and Hans Beeckman
Subjects: 010506 paleontology, Archeology, Global and Planetary Change, 010504 meteorology & atmospheric sciences, Ecology, Agroforestry, Paleontology, Central africa, Slash-and-burn, Tropical forest, 01 natural sciences, Archaeology, Geography, Human settlement, visual_art, Palm oil, High spatial resolution, visual_art.visual_art_medium, Charcoal, Holocene, 0105 earth and related environmental sciences, Earth-Surface Processes
Abstract: Palaeoecological and archaeological studies have demonstrated that human populations have long inhabited the moist forests of central Africa. However, spatial and temporal patterns of human activities have hardly been investigated with satisfactory accuracy. In this study, we propose to characterize past human activities at local scale by using a systematic quantitative and qualitative methodology based on soil charcoal and charred botanical remains. A total of 88 equidistant test-pits were excavated along six transects in two contrasting forest types in southern Cameroon. Charred botanical remains were collected by water-sieving and sorted by type (wood charcoals, oil palm endocarps and unidentified seeds). A total of 50 Accelerator Mass Spectrometry 14C dates were also obtained. Results showed that charred macroremains were found at multiple places in the forest, suggesting scattered human activities, which were distributed into two main periods (Phase A: 2300–1300 BP; Phase B: 580 BP to the present). Charred botanical remains indicated two types of land-use: (1) domestic, with oil palm endocarps most often associated with potsherds (villages) and (2) agricultural, with charcoal as probable remnant of slash-and-burn cultivation (fields). Oil palm endocarp abundance decreased with distance from the identified human settlements. Our methodology allowed documenting, at high resolution, the spatial and temporal patterns of human activities in central African moist forests and could be applied to other tropical contexts.
Published: 2016

22. Pan-tropical prediction of forest structure from the largest trees

Author: Narayanaswamy Parthasarathy, Stephen P. Hubbell, Cintia Rodrigues de Souza, Takeshi Toma, Ben Swanepoel, Raphaël Pélissier, Donatien Zebaze, Luzmila Arroyo, Juliana Stropp, James R. Kellner, Alejandro Araujo-Murakami, Thomas E. Lovejoy, Benoît Cassart, Ben Hur Marimon Junior, James Grogan, Sebastian K. Herzog, Yadvinder Malhi, Krisna Gajapersad, José Luís Camargo, Christelle Gonmadje, Renato Valencia, Connie J. Clark, Denise Sasaki, Fabien Wagner, Francesco Rovero, Katrin Boehning-Gaese, David Kenfack, Olaf Bánki, John Terborgh, Ferry Slik, Arafat S. Mtui, Javier Silva Espejo, Hans Beeckman, Germaine Alexander Parada Gutierrez, Tinde van Andel, Luis Valenzuela, Thalès de Haulleville, Hans ter Steege, Elizabeth Kearsley, Martin J. P. Sullivan, Wilson Roberto Spironello, Rodolfo Vasque, Emmanuel H. Martin, Thomas Duncan, William F. Laurance, Jason Vleminckx, Paulus Matius, Charles De Cannière, Yves Laumonier, Ted R. Feldpausch, Andrew R. Marshall, John R. Poulsen, J. Daniel Soto, Priya Davidar, Jean François Gillet, Iêda Leão do Amaral, Papi Puspa Warsudi, Eurídice N. Honorio Coronado, Vincent A. Vos, Laurent Descroix, Nicolas Texier, Philippe Saner, Roderick Zagt, Marc P. E. Parren, Luiz Marcelo Brum Rossi, Robert Bitariho, Fernando Cornejo Valverde, Jon Lloyd, Nina Farwig, James Singh, Jean-Louis Doucet, Francis Q. Brearley, Leandro Valle Ferreira, Celso Paulo de Azevedo, Ervan Rutishauser, Johanna Hurtado, Bruno Hérault, Albert Angbonga-Basia, Jérôme Chave, David A. Neill, Jean Claude Razafimahaimodison, Pierre Ploton, Hilandia Brandão, Susan G. Laurance, Richard Condit, Roel J. W. Brienen, Jean-François Bastin, Ana Andrade, Marcos Silveira, Oliver L. Phillips, Gauthier Ligot, David B. Clark, Casimero Mendoza Bautista, Narayanan Ayyappan, Robin L. Chazdon, Hans Verbeeck, Santiago Espinosa, Jürgen Homeier, Mireille Breuer-Ndoundou Hockemba, Simon L. Lewis, Patricia Alvarez-Loyayza, Vincent Droissart, Sassan Saatchi, Nigel C. A. Pitman, Victoria Meyer, Nicolas Barbier, Wannes Hubau, Jorcely Barroso, Nicolas Labrière, Plinio Sist, Georges Chuyong, Pascal Boeckx, Hugo Romero Saltos, Antonio Ferraz, David Harris, Verginia Wortel, Pandi Vivek, Mark Schulze, Bonaventure Sonké, Jan Bogaert, Abel Monteagudo-Mendoza, Guido Pardo, Quentin Ponette, Ahimsa Campos-Arceiz, Michael Kessler, Beatriz Schwantes Marimon, Samir Gonçalves Rolim, Maxime Réjou-Méchain, Koen Hufkens, Narcisse Guy Kamdem, Adeline Fayolle, Aurélie Dourdain, Christine Fletcher, Moses Libalah, B.R. Ramesh, Research Unit of Landscape Ecology and Plant Production Systems, Université libre de Bruxelles (ULB), Carbon For Expert, California Institute of Technology (CALTECH), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Université de Liège, University of Mary Washington, Instituto Nacional de Pesquisas da Amazônia (INPA), Universidad Autonoma Gabriel René Moreno (UAGRM), Institut Français de Pondichéry (IFP), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam [Amsterdam] (UvA), Universidade Federal do Acre (UFAC), School of Engineering and Science, Jacobs University [Bremen], Laboratory of Applied Physical Chemistry, Universiteit Gent = Ghent University (UGENT), School of Geography [Leeds], University of Leeds, Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), University of Buea, Department of Computer Science, King‘s College London, Patrimoines Locaux et Gouvernance (PALOC), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD), Gembloux Agro-Bio Tech [Gembloux], Department of Ecology-Conservation Ecology, Faculty of Biology, Philipps Universität Marburg = Philipps University of Marburg, AgroBioTech, Forest Research Institute Malaysia (FRIM), Mount Holyoke College, Royal Botanic Gardens, Georg-August-University = Georg-August-Universität Göttingen, Royal Museum for Central Africa [Tervuren] (RMCA), Smithsonian Conservation Biology Institute, Center for Conservation Education and Sustainability, MRC 705, Box 37012, Washington, DC, VA 20013-7012, USA, Universität Zürich [Zürich] = University of Zurich (UZH), AgroParisTech, Center for International Forestry Research (CIFOR), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Université de Yaoundé I, Imperial College London, Environmental Science and Policy Department and the Department of Public and International Affairs, George Mason University [Fairfax], Environmental Change Inst., School of Geography and the Environment, University of Oxford, Universidade do Estado de Mato Grosso (UNEMAT), Centre Maurice Halbwachs (CMH), École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Département de Sciences sociales ENS-PSL, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Missouri Botanical Garden, Universidad Estatal Amazonica, Universidad Autonoma del Beni, Analytical and Biophysical Environmental Chemistry (CABE), University of Geneva, Sciences II, Division of Marine Science and Conservation, Nicholas School of the Environment, Duke University [Durham], Université Catholique de Louvain = Catholic University of Louvain (UCL), Département Systèmes Biologiques (Cirad-BIOS), MUSE – Science Museum of Trento, Forêts et Sociétés (UPR Forêts et Sociétés), Amazonia Central, Brazilian Agricultural Research Corporation (Embrapa), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Department of Forest Vegetation, Forestry and Forest Products Research Institute (FFPRI), Laboratorio de Ecología de Plantas y Herbario QCA, Escuela de Ciencias Biológicas, Pontificia Universidad Católica del Ecuador, Chercheur indépendant, Computational & Applied Vegetation Ecology (CAVElab), Instituto Nacional de Pesquisas Espaciais (INPE), Ministério da Ciência, Tecnologia e Inovação, Biodiversity Department, Center for Agricultural Research in Suriname (CELOS), Laboratoire de Botanique systématique et d'Ecologie [ENS Yaoudé], Université de Yaoundé I-École normale supérieure [ENS] - Yaoundé 1, Université Libre de Bruxelles [Bruxelles] (ULB), Université des Antilles (UA)-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA), Centre National de la Recherche Scientifique (CNRS)-Ministère de l'Europe et des Affaires étrangères (MEAE), Ghent University [Belgium] (UGENT), Universidad Nacional San Antonio Abad del Cusco, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Phillips Universität (Marburg), Georg-August-Universität Göttingen, University of Zurich, Université de Yaoundé, École normale supérieure - Paris (ENS Paris)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS), Missouri Botanical Garden (USA), Université Catholique de Louvain (UCL), Pontificia Universidad Catolica del Ecuador, Université de Yaoundé I [Yaoundé]-École normale supérieure [ENS] - Yaoundé 1, Systems Ecology, Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universiteit Gent = Ghent University [Belgium] (UGENT), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Georg-August-University [Göttingen], University of Oxford [Oxford], École normale supérieure - Paris (ENS Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)
Subjects: P33 - Chimie et physique du sol, 0106 biological sciences, pan-tropical, 010504 meteorology & atmospheric sciences, P40 - Météorologie et climatologie, REDD, Rainforest, F50 - Anatomie et morphologie des plantes, 010603 evolutionary biology, 01 natural sciences, Basal area, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, K01 - Foresterie - Considérations générales, Quadratic mean diameter, Ecology, Evolution, Behavior and Systematics, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Changement climatique, Global and Planetary Change, Biomass (ecology), Tree canopy, Ecology, carbon, Diameter at breast height, large trees, Tropics, 15. Life on land, Structure du peuplement, séquestration du carbone, climate change, 13. Climate action, Forêt, Environmental science, Physical geography, tropical forest ecology, REDD+, Woody plant, forest structure
Abstract: © 2018 John Wiley & Sons Ltd Aim: Large tropical trees form the interface between ground and airborne observations, offering a unique opportunity to capture forest properties remotely and to investigate their variations on broad scales. However, despite rapid development of metrics to characterize the forest canopy from remotely sensed data, a gap remains between aerial and field inventories. To close this gap, we propose a new pan-tropical model to predict plot-level forest structure properties and biomass from only the largest trees. Location: Pan-tropical. Time period: Early 21st century. Major taxa studied: Woody plants. Methods: Using a dataset of 867 plots distributed among 118 sites across the tropics, we tested the prediction of the quadratic mean diameter, basal area, Lorey's height, community wood density and aboveground biomass (AGB) from the ith largest trees. Results: Measuring the largest trees in tropical forests enables unbiased predictions of plot- and site-level forest structure. The 20 largest trees per hectare predicted quadratic mean diameter, basal area, Lorey's height, community wood density and AGB with 12, 16, 4, 4 and 17.7% of relative error, respectively. Most of the remaining error in biomass prediction is driven by differences in the proportion of total biomass held in medium-sized trees (50–70 cm diameter at breast height), which shows some continental dependency, with American tropical forests presenting the highest proportion of total biomass in these intermediate-diameter classes relative to other continents. Main conclusions: Our approach provides new information on tropical forest structure and can be used to generate accurate field estimates of tropical forest carbon stocks to support the calibration and validation of current and forthcoming space missions. It will reduce the cost of field inventories and contribute to scientific understanding of tropical forest ecosystems and response to climate change.
Published: 2018

23. Disentangling good from bad practices in the selection of spatial or phylogenetic eigenvectors

Author: Stéphane Dray, Thomas Drouet, David Bauman, Jason Vleminckx, Université libre de Bruxelles (ULB), Ecologie quantitative et évolutive des communautés, Département écologie évolutive [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Department of Integrative Biology [Berkeley] (IB), University of California [Berkeley], University of California-University of California, University of California [Berkeley] (UC Berkeley), and University of California (UC)-University of California (UC)
Subjects: 0106 biological sciences, Ecology, 010604 marine biology & hydrobiology, Autocorrelation, 010603 evolutionary biology, 01 natural sciences, Statistical power, Phylogenetic Pattern, Statistics, Spatial ecology, Fraction (mathematics), Akaike information criterion, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Ecology, Evolution, Behavior and Systematics, Selection (genetic algorithm), ComputingMilieux_MISCELLANEOUS, Type I and type II errors, Mathematics
Abstract: Eigenvector mapping techniques are widely used by ecologists and evolutionary biologists to describe and control for spatial and/or phylogenetic patterns in their data. The selection of an appropriate subset of eigenvectors is a critical step (misspecification can lead to highly biased results and interpretations), and there is no consensus yet on how to proceed. We conducted a ten‐year review of the practices of eigenvector selection and highlighted three main procedures: selecting the subset of descriptors minimising the Akaike information criterion (AIC), using a forward selection with double stopping criterion after testing the global model significance (FWD), and selecting the subset minimising the autocorrelation in the model residuals (MIR). We compared the type I error rates, statistical power, and R² estimation accuracy of these methods using simulated data. Finally, a real dataset was analysed using variation partitioning analysis to illustrate to what extent the different selection approaches affected the ecological interpretation of the results. We show that, while the FWD and MIR approaches presented a correct type I error rate and were accurate, the AIC approach displayed extreme type I error rates (100%), and strongly overestimated the R². Moreover, the AIC approach resulted in wrong ecological interpretations, as it overestimated the pure spatial fraction (and the joint spatial‐environmental fraction to a lesser extent) of the variation partitioning. Both the FWD and MIR methods performed well at broad and medium scales but had a very low power to detect fine‐scale patterns. The FWD approach selected more eigenvectors than the MIR approach but also returned more accurate R² estimates. Hence, we discourage any future use of the AIC approach, and advocate choosing between the MIR and FWD approaches depending on the objective of the study: controlling for spatial or phylogenetic autocorrelation (MIR) or describing the patterns as accurately as possible (FWD).
Published: 2018

24. The persistence of carbon in the African forest understory

Author: Benjamin Toirambe, Emmanuel Kasongo Yakusu, John Tshibamba Mukendi, Timothy R. Baker, Jan Van den Bulcke, Jean-Louis Doucet, Georgia Pickavance, Sofie Dierickx, Camille Couralet, Tom De Mil, Bhely Angoboy Ilondea, Peter M. Umunay, Joris Van Acker, David Harris, Jefferson S. Hall, James A. Comiskey, Jason Vleminckx, Sam Moore, Jan Reitsma, Aida Cuni-Sanchez, Joey Talbot, Lise Zemagho, Lindsay F. Banin, Lee J. T. White, John R. Poulsen, Murray Collins, Hans Beeckman, Victor Deklerck, Simon L. Lewis, Christelle Gonmadje, Yadvinder Malhi, Jean-Remy Makana, Wannes Hubau, Terry Sunderland, Nils Bourland, Marie-Noël Djuikouo Kamdem, Jacques Mukinzi, Oliver L. Phillips, Martin Gilpin, Bonaventure Sonké, Connie J. Clark, Faustin M. Mbayu, Olivier J. Hardy, Ted R. Feldpausch, Serge K. Begne, Martin J. P. Sullivan, Mélissa Rousseau, Gabriela Lopez-Gonzalez, Eric Chezeaux, Hermann Taedoumg, Corneille E. N. Ewango, and Laurent Nsenga
Subjects: 0106 biological sciences, 0301 basic medicine, Carbon Sequestration, Time Factors, chemistry.chemical_element, Plant Science, Carbon sequestration, Forests, 01 natural sciences, Ecology and Environment, Carbon cycle, Carbon Cycle, Trees, 03 medical and health sciences, Tropical climate, Forest ecology, Tropical Climate, Ecology, Carbon sink, Understory, Carbon, 030104 developmental biology, chemistry, Democratic Republic of the Congo, Environmental science, Biologie, 010606 plant biology & botany, Tropical rainforest
Abstract: Quantifying carbon dynamics in forests is critical for understanding their role in long-term climate regulation 1â4 .Yet little is known about tree longevity in tropical forests 3,5â8 ,a factor that is vital for estimating carbon persistence 3,4 .Here we calculate mean carbon age (the period that carbon is fixed in trees 7 ) in different strata of African tropical forests using (1) growth-ring records with a unique timestamp accurately demarcating 66 years of growth in one site and (2) measurements of diameter increments from the African Tropical Rainforest Observation Network (23 sites). We find that in spite of their much smaller size, in understory trees mean carbon age (74 years) is greater than in sub-canopy (54 years) and canopy (57 years) trees and similar to carbon age in emergent trees (66 years). The remarkable carbon longevity in the understory results from slow and aperiodic growth as an adaptation to limited resource availability 9â11 .Our analysis also reveals that while the understory represents a small share (11%) of the carbon stock 12,13 ,it contributes disproportionally to the forest carbon sink (20%). We conclude that accounting for the diversity of carbon age and carbon sequestration among different forest strata is critical for effective conservation management 14â16 and for accurate modelling of carbon cycling 4 .Â© 2019, The Author(s), under exclusive licence to Springer Nature Limited., SCOPUS: le.j, info:eu-repo/semantics/published
Published: 2018

25. Impact of fine-scale edaphic heterogeneity on tree species assembly in a central African rainforest

Author: Thomas Drouet, Christian C. Amani, Jason Vleminckx, Jean Lejoly, Olivier J. Hardy, and Janvier Lisingo
Subjects: Ecology, Biodiversity, Species diversity, Soil classification, Edaphic, Plant Science, Species richness, Rainforest, Biology, Transect, Relative species abundance
Abstract: Soil properties have been shown to partially explain tree species distribution in tropical forests. Locally, species turnover across space can result not only from edaphic heterogeneities but also from limited seed dispersal. To characterize the contribution of each process, contact areas between contrasted soil types offer ideal settings. In the present study, we aimed to test species and species assemblage responses to a sharp edaphic discontinuity in a tropical forest tree community.We set up four 500–600-m long parallel transects crossing two contrasted edaphic habitats, one lying on clayey soil and the other on sandy soil. The canopy and subcanopy trees were identified and geo-referenced along the transects over a width of 50 m and 5 m, respectively, and soil samples were collected every 50 m to characterize each habitat.Correspondence analyses indicated a clear differentiation of tree communities between sandy and clayey soils. Using a torus-translation method combined with Chi-squared non-parametric tests, we observed that ca. 40% and 18% of the species represented by at least 12 individuals displayed significant density differences according to habitat in the canopy and subcanopy, respectively, although very few species displayed significant differences in their relative abundance. Nevertheless, whole community tests of differentiation (in species relative abundances) between soil types were significant in both strata, even after removing individual species or families displaying a significant habitat preference.While only a minority of species displayed a clear habitat preference, we still observed a community-wide impact of the edaphic discontinuity on species assemblages at a local scale. Our results provide further evidence for the major contribution of environmental heterogeneity in maintaining biodiversity in tropical forests.
Published: 2014

26. Prevalence of phylogenetic clustering at multiple scales in an African rain forest tree community

Author: Olivier J. Hardy, George B. Chuyong, Ingrid Parmentier, Jérôme Chave, David Kenfack, Duncan W. Thomas, Maxime Réjou-Méchain, and Jason Vleminckx
Subjects: Ecology, Phylogenetic tree, Range (biology), media_common.quotation_subject, Plant Science, Rainforest, Biology, Competition (biology), Habitat, Spatial ecology, Ecosystem, Quadrat, Ecology, Evolution, Behavior and Systematics, media_common
Abstract: Summary 1. In highly diverse ecosystems, such as tropical forests, the relative importance of mechanisms underlying species coexistence (e.g. habitat filtering, competitive exclusion, neutral dynamics) is still poorly known and probably varies depending on spatial and phylogenetic scales. 2. Here, we develop new approaches for dissecting simultaneously the phylogenetic structure of communities at different phylogenetic depths and spatial scales. We tested with simulations that our method is able to disentangle overdispersion and clustering effects occurring at contrasted phylogenetic depths. 3. We applied our approaches to a 50 ha Forest Dynamic Plot located in Korup National Park (Cameroon) where 329,000 tree stems ≥ 1 cm in diameter were identified and mapped, and using a newly generated dated molecular phylogenetic tree based on 2 plastid loci (rbcL and matK), including 272 species from Korup (97% of the individuals). 4. Significant patterns of phylogenetic turnover were detected across 20 9 20 m 2 quadrats at most spatial scales, with higher turnover between topographic habitats than within habitats, indicating the prevalence of habitat filtering processes. Spatial phylogenetic clustering was detected over the entire range of phylogenetic depths indicating that competitive exclusion does not generate a pattern of phylogenetic overdispersion at this scale, even at a shallow phylogenetic depth. 5. Using an individual-based approach, we also show that closely related species tended to aggregate spatially until a scale of 1 m. However, the signal vanishes at smaller distance, suggesting that competitive exclusion can balance the impact of environmental filtering at a very fine spatial scale. 6. Synthesis. Using new methods to characterize the structure of communities across spatial and phylogenetic scales, we inferred the relative importance of the mechanisms underlying species coexistence in tropical forests. Our analysis confirms that environmental filtering processes are key in the structuring of natural communities at most spatial scales. Although negative-density tends to limit coexistence of closely related species at very short distance (
Published: 2014

27. Species Responses to Edaphic Heterogeneity in Semi-Deciduous Forests from the Congo Basin

Author: C. Amani, Jason Vleminckx, T.D. de la Thibauderie, Jean Lejoly, Olivier J. Hardy, and Pierre Jacques Meerts
Subjects: Community, Habitat, Ecology, Soil water, Semi-deciduous, Natural forest, Species diversity, Edaphic, Forestry, Structural basin, Biology
Abstract: Coexistence of species in tropical forests remains an open debate in community ecology. Two main substrates, sandy and clay soils, exist in sites harboring semi-deciduous forests in the central Congo Basin. The way this edaphic heterogeneity affects species occurrences and abundances was investigated. Sampling plots were established on each of the soils in Yoko, a natural forest reserve located in the surrounding of Kisangani (eastern D.R. Congo). Results showed that species react in different ways according to the considered soil. Some species appear to be “edaphic specialists” by their exclusive occurrence or preference towards a given soil. This is the case for species like Scorodophloeus zenkeri, Cynometra hankei, Prioria balsamiferum on sandy soils whereas Alstonia boonei, Antiaris toxicaria, etc. prefer clay substrates. Many others expressed no preference at all. We computed species accumulation curves and tested for the local diversity (Fisher alpha index) among soils. Communities on clay soils appear to be rich and more diversified.
Published: 2013

28. Fine-scale habitats influence tree species assemblage in a miombo forest

Author: Mylor Ngoy Shutcha, Pierre Jacques Meerts, Arnaud Jacobs, David Bauman, Jonathan Ilunga Muledi, Thomas Drouet, Jason Vleminckx, and Jean Lejoly
Subjects: 0106 biological sciences, Ecology, Scale (ratio), Biologie du sol (relations sol plantes), Agroforestry, Plant Science, 010603 evolutionary biology, 01 natural sciences, Geography, Habitat, Assemblage (archaeology), Ecologie [végétale], Tree species, Ecology, Evolution, Behavior and Systematics, 010606 plant biology & botany, Sciences exactes et naturelles
Abstract: Aims: Relationships between local habitat heterogeneity and tree communities in miombo woodlands have been very little studied. While some studies have addressed this topic at broad scales and based on few environmental parameters, this study aims at 1) detecting fine-scale habitats (≤ 10 ha) on the basis of a detailed characterisation of soil explicitly considering past anthropogenic disturbances, and an exhaustive census of the tree community, and at 2) searching for indicator tree species corresponding to the resulting habitats.Methods: The study was carried out in the miombo woodland of Mikembo Forest Reserve, Upper Katanga, The Democratic Republic of the Congo. A complete census of the tree community was conducted in a 10-ha forest dynamics plot comprising 160 adjacent quadrats of 25 × 25 m, with a total of 4604 trees (DBH > 10 cm). Thirty-six physicochemical soil parameters were measured. Studying the frequency distribution of soil charcoal content allowed identifying local signature of past human agriculture in the soil. Two strategies were used to define habitats: 1) a combination of PCA on soil variables and Ward clustering, and 2) Multivariate Regression Trees (MRT) to search for key soil parameters allowing the best prediction of species composition. Tree-habitat associations were tested by means of a robust statistical framework combining the IndVal index and torus randomisations.Important findings: The forest contained 82 tree species and a significant proportion of wet miombo species (e.g. Marquesia macroura). We detected a strong east-west edaphic gradient driven by soil texture; most chemical soil parameters followed this pattern. Five habitats were identified based on soil factors and floristic composition. Nine indicator species of these habitats were found. The key soil factors discriminating habitats were total calcium, available forms of phosphorus, and clay content. Even though past agricultural practices were successfully detected in soils, they did not display any significant influence neither on habitat differentiation nor on the associated tree communities. Based on an unprecedented large number of soil parameters, fine-scale soil heterogeneity and niche partitioning were shown to contribute to the variability of the floristic composition in this forest. Our results indicated that considering the most variable environmental parameters, as in PCA, is a poor manner for defining habitats. In contrast, combining MRT with the IndVal index and torus randomisation has proved to be a much more robust and sensitive approach to highlight tree-habitat associations at this scale. The common dichotomous viewpoint of considering deterministic and neutral effects as acting at broad and fine scales, respectively, is not confirmed when measuring suitable environmental variables, even in a case where the physical environment does not exhibit strong heterogeneity., info:eu-repo/semantics/published
Published: 2016

29. Species Responses to Edaphic Heterogeneity in Semi-Deciduous Forests from the Congo Basin

Author: Amani, A. Christian, Jason, Vleminckx, Thomas, Drouet de la Thibauderie, Jean, Lejoly, Pierre, Meerts, and Olivier, J. Hardy
Subjects: Deterministic factor, Substrate heterogeneity, Local diversity, Edaphic specialization, Habitat preference, Environmental filtering
Abstract: Coexistence of species in tropical forests remains an open debate in community ecology. Two main substrates, sandy and clay soils, exist in sites harboring semi-deciduous forests in the central Congo Basin. The way this edaphic heterogeneity affects species occurrences and abundances was investigated. Sampling plots were established on each of the soils in Yoko, a natural forest reserve located in the surrounding of Kisangani (eastern D.R. Congo). Results showed that species react in different ways according to the considered soil. Some species appear to be “edaphic specialists” by their exclusive occurrence or preference towards a given soil. This is the case for species like Scorodophloeus zenkeri, Cynometra hankei, Prioria balsamiferum on sandy soils whereas Alstonia boonei, Antiaris toxicaria, etc. prefer clay substrates. Many others expressed no preference at all. We computed species accumulation curves and tested for the local diversity (Fisher alpha index) among soils. Communities on clay soils appear to be rich and more diversified.&nbsp
Published: 2013

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

Author: Lindsay F. Banin, Georgia Pickavance, Gloria Djagbletey, Hans Beeckman, Timothy R. Baker, David Harris, Lise Zemagho, Benjamin Toirambe, James Taplin, Jon Lloyd, Hannsjorg Woell, Miguel E. Leal, Alan Hamilton, Murielle Simo, Jason Vleminckx, Douglas Sheil, Jean-François Bastin, Kelvin S.-H. Peh, Sophie Fauset, Marie Noël Kamdem Djuikouo, Connie J. Clark, Yadvinder Malhi, Koen Hufkens, Hans Verbeeck, Kofi Affum-Baffoe, Geertje M. F. van der Heijden, Serge K. Begne, Cornielle E N Ewango, Philippe Jeanmart, Jean-Remy Makana, Dries Huygens, Elizabeth Kearsley, Terese B. Hart, Simon Willcock, Jan Reitsma, Ted R. Feldpausch, Pascal Boeckx, Murray Collins, Bonaventure Sonké, Jan Bogaert, Andrew R. Marshall, Jon C. Lovett, David Taylor, Jean-Louis Doucet, Kathryn J. Jeffery, John R. Poulsen, Jean François Gillet, Terry Sunderland, Joey Talbot, Ernest G. Foli, Lucas Ojo, Sean C. Thomas, Oliver L. Phillips, Hermann Taedoumg, Eric Chezeaux, Annette Hladik, Kathy Steppe, Charles De Cannière, Gabriela Lopez-Gonzalez, Lee J. T. White, Vincent Droissart, Simon L. Lewis, and Thalès de Haulleville
Subjects: Life Sciences & Biomedicine - Other Topics, 0106 biological sciences, 010504 meteorology & atmospheric sciences, Amazonian, Climate, AMAZONIAN FORESTS, 01 natural sciences, Trees, Basal area, Soil, SD Forestry, Tropical climate, Biomass, Biomass (ecology), CLIMATE-CHANGE, Ecology, 11 Medical And Health Sciences, RAIN-FOREST, Articles, Sciences bio-médicales et agricoles, GROWTH, SENSITIVITY, CARBON STOCKS, General Agricultural and Biological Sciences, Life Sciences & Biomedicine, Biologie, Wood density, Research Article, GE Environmental Sciences, Conservation of Natural Resources, Climate Change, Tree allometry, Rainforest, Biology, SPATIAL-PATTERNS, Models, Biological, 010603 evolutionary biology, General Biochemistry, Genetics and Molecular Biology, Ecology and Environment, Carbon Cycle, Congo basin, West Africa, Bosecologie en Bosbeheer, Precipitation, TREE ALLOMETRY, 0105 earth and related environmental sciences, Evolutionary Biology, Tropical Climate, Science & Technology, Biology and Life Sciences, Forestry, 06 Biological Sciences, 15. Life on land, East Africa, Forest Ecology and Forest Management, SOILS, Africa, Soil fertility
Abstract: We report above-ground biomass (AGB), basal area, stemdensity and wood mass density estimates from 260 sample plots (mean size: 1.2 ha) in intact closed-canopy tropical forests across 12 African countries. Mean AGB is 395.7 Mg dry mass ha-1 (95% CI: 14.3), substantially higher than Amazonian values, with the Congo Basin and contiguous forest region attaining AGB values (429 Mg ha-1) similar to those of Bornean forests, and significantly greater than East or West African forests. AGB therefore appears generally higher in palaeo- comparedwithneotropical forests.However, mean stem density is low(426±11 stems ha-1 greater than or equal to 100 mm diameter) compared with both Amazonian and Bornean forests (cf. approx. 600) and is the signature structural feature of African tropical forests. While spatial autocorrelation complicates analyses, AGB shows a positive relationship with rainfall in the driest nine months of the year, and an opposite association with the wettest three months of the year; a negative relationship with temperature; positive relationship with clay-rich soils; and negative relationshipswith C:Nratio (suggesting a positive soil phosphorus- AGB relationship), and soil fertility computed as the sum of base cations. The results indicate that AGB is mediated by both climate and soils, and suggest that the AGB of African closed-canopy tropical forests may be particularly sensitive to future precipitation and temperature changes. © 2013 The Authors., 0, SCOPUS: ar.j, info:eu-repo/semantics/published
Published: 2013

31. High aboveground carbon stock of African tropical montane forests

Author: Janvier Lisingo, Tibebu Y. Simegn, Miroslav Svoboda, Murielle Simo-Droissart, Dismas Hakizimana, Charles Kayijamahe, Emanuel H. Martin, Aida Cuni-Sanchez, Jan Altman, Petri Pellikka, Hans Verbeeck, Rob Marchant, Andreas Hemp, Jefferson S. Hall, Jiri Dolezal, Janne Heiskanen, Valerio Avitabile, Pascal Boeckx, Olivier J. Hardy, Vincent Droissart, Roy E. Gereau, Mark Lung, Felix Nchu, Hermann Taedoumg, Philip J. Platts, Charlotte E. Wheeler, Jonathan Timberlake, Colin A. Chapman, Brigitte Nyirambangutse, Andrew J. Plumptre, Demisse Sheleme, Abreham Berta Aneseyee, Joseph Okello, Terese B. Hart, Peter M. Umunay, John Tshibamba Mukendi, Lan Qie, Simon L. Lewis, Mathieu Decuyper, Senbeta Feyera, Teshome Soromessa, Kelvin S.-H. Peh, Corneille E. N. Ewango, Simon Willcock, Wannes Hubau, Aster Gebrekirstos, Edward T. A. Mitchard, Ben DeVries, Gerard Imani, Martin Herold, David Horák, Andrew R. Marshall, Serge K. Begne, Achim Bräuning, Kim Calders, C. Amani, A. C. Hamilton, Marie Noel Djuikouo Kamdem, Jean-Remy Makana, Martin J. P. Sullivan, Mwangi James Kinyanjui, Yadvinder Malhi, Tomáš Albrecht, Tom Muller, Hazel M. Chapman, Robert Bitariho, Julia A. Klein, Alain Senghor K. Ngute, Marijn Bauters, Eustrate Uzabaho, Göran Wallin, Christine B. Schmitt, Hari Adhikari, Iveren Abiem, Franklin Bulonvu, Ulrike Hiltner, Moses Nsanyi Sainge, James Taplin, Amy C. Bennett, John T. Woods, Sean C. Thomas, Jason Vleminckx, David Taylor, Oliver L. Phillips, Alexandra C. Morel, James A. Comiskey, Douglas Sheil, Thalès de Haulleville, Francesco Rovero, Darlington Tuagben, Neil D. Burgess, Jon C. Lovett, Terry Sunderland, Rodrigue Batumike, Martin Gilpin, Bonaventure Sonké, Jan Bogaert, Ondrej Sedlacek, Etienne Zibera, David Kenfack, Lindsay F. Banin, Hans Beeckman, University of York [York, UK], Manchester Metropolitan University (MMU), International Union for Conservation of Nature (IUCN), University of Leeds, Université officielle de Bukavu, Royal Museum for Central Africa [Tervuren] (RMCA), University of Jos [Nigeria], Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Charles University [Prague] (CU), Addis Ababa University (AAU), European Commission - Joint Research Centre [Ispra] (JRC), UK Centre for Ecology & Hydrology, Natural Environment Research Council (NERC), Universiteit Gent = Ghent University (UGENT), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Rwanda, European Project: 328075,EC:FP7:PEOPLE,FP7-PEOPLE-2012-IEF,ASEC-DRYLAND-FORESTS(2014), University of Helsinki, Universiteit Gent = Ghent University [Belgium] (UGENT), Earth Change Observation Laboratory (ECHOLAB), and Department of Geosciences and Geography
Subjects: 0106 biological sciences, DIVERSITY, Endangered species, Datasets as Topic, Geographic Mapping, life_on_land, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 01 natural sciences, Trees, Laboratory of Geo-information Science and Remote Sensing, Biomass, 0303 health sciences, Biomass (ecology), GLOBAL PATTERNS, Multidisciplinary, Ecology, Reforestation, EASTERN ARC MOUNTAINS, Carbon cycle, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Biogeochemistry, PE&RC, Geography, MAP, C180 Ecology, climate_action, STORAGE, Carbon Sequestration, Conservation of Natural Resources, Rainforest, Climate Change, Climate change, 010603 evolutionary biology, Ecology and Environment, Earth and environmental sciences, 03 medical and health sciences, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Forest ecology, Life Science, Ecosystem services, Bosecologie en Bosbeheer, Laboratorium voor Geo-informatiekunde en Remote Sensing, Ecosystem, 1172 Environmental sciences, 030304 developmental biology, Tropical Climate, SINK, Forestry, 15. Life on land, Carbon, Forest Ecology and Forest Management, Attitude, 13. Climate action, Africa, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Tropical rainforest
Abstract: Tropical forests store 40–50 per cent of terrestrial vegetation carbon 1. However, spatial variations in aboveground live tree biomass carbon (AGC) stocks remain poorly understood, in particular in tropical montane forests 2. Owing to climatic and soil changes with increasing elevation 3, AGC stocks are lower in tropical montane forests compared with lowland forests 2. Here we assemble and analyse a dataset of structurally intact old-growth forests (AfriMont) spanning 44 montane sites in 12 African countries. We find that montane sites in the AfriMont plot network have a mean AGC stock of 149.4 megagrams of carbon per hectare (95% confidence interval 137.1–164.2), which is comparable to lowland forests in the African Tropical Rainforest Observation Network 4 and about 70 per cent and 32 per cent higher than averages from plot networks in montane 2,5,6 and lowland 7 forests in the Neotropics, respectively. Notably, our results are two-thirds higher than the Intergovernmental Panel on Climate Change default values for these forests in Africa 8. We find that the low stem density and high abundance of large trees of African lowland forests 4 is mirrored in the montane forests sampled. This carbon store is endangered: we estimate that 0.8 million hectares of old-growth African montane forest have been lost since 2000. We provide country-specific montane forest AGC stock estimates modelled from our plot network to help to guide forest conservation and reforestation interventions. Our findings highlight the need for conserving these biodiverse 9,10 and carbon-rich ecosystems.

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31 results on '"Jason Vleminckx"'

1. Low-intensity logging alters species and functional composition, but does not negatively impact key ecosystem services in a Central African tropical forest

2. Weak phylogenetic and habitat effects on root trait variation of 218 Neotropical tree species

3. Divergent Secondary Metabolites and Habitat Filtering Both Contribute to Tree Species Coexistence in the Peruvian Amazon

4. Soil charcoal to assess the impacts of past human disturbances on tropical forests.

5. Niche breadth of Amazonian trees increases with niche optimum across broad edaphic gradients

6. Environmental determinants of leaf litter ant community composition along an elevational gradient

7. Past human disturbances and soil fertility both influence the distribution of light‐demanding tree species in a Central African tropical forest

8. Co-limitation towards lower latitudes shapes global forest diversity gradients

9. Amazon tree dominance across forest strata

10. Resistance of African tropical forests to an extreme climate anomaly

11. Biogeographic history and habitat specialization shape floristic and phylogenetic composition across Amazonian forests

12. Resolving whole‐plant economics from leaf, stem and root traits of 1467 Amazonian tree species

13. Amazon tree dominance across forest strata

14. The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

15. Long-term thermal sensitivity of Earth's tropical forests

16. Tree communities and soil properties influence fungal community assembly in neotropical forests

17. Testing and interpreting the shared space-environment fraction in variation partitioning analyses of ecological data

18. Coordinated community structure among trees, fungi and invertebrate groups in Amazonian rainforests

19. The influence of spatially structured soil properties on tree community assemblages at a landscape scale in the tropical forests of southern Cameroon

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

21. High spatial resolution of late-Holocene human activities in the moist forests of central Africa using soil charcoal and charred botanical remains

22. Pan-tropical prediction of forest structure from the largest trees

23. Disentangling good from bad practices in the selection of spatial or phylogenetic eigenvectors

24. The persistence of carbon in the African forest understory

25. Impact of fine-scale edaphic heterogeneity on tree species assembly in a central African rainforest

26. Prevalence of phylogenetic clustering at multiple scales in an African rain forest tree community

27. Species Responses to Edaphic Heterogeneity in Semi-Deciduous Forests from the Congo Basin

28. Fine-scale habitats influence tree species assemblage in a miombo forest

29. Species Responses to Edaphic Heterogeneity in Semi-Deciduous Forests from the Congo Basin

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

31. High aboveground carbon stock of African tropical montane forests

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31 results on '"Jason Vleminckx"'

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