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Africa is forecasted to experience large and rapid climate change1 and population growth2 during the twenty-first century, which threatens the world’s second largest rainforest. Protecting and sustainably managing these African forests requires an increased understanding of their compositional heterogeneity, the environmental drivers of forest composition and their vulnerability to ongoing changes. Here, using a very large dataset of 6 million trees in more than 180,000 field plots, we jointly model the distribution in abundance of the most dominant tree taxa in central Africa, and produce continuous maps of the floristic and functional composition of central African forests. Our results show that the uncertainty in taxon-specific distributions averages out at the community level, and reveal highly deterministic assemblages. We uncover contrasting floristic and functional compositions across climates, soil types and anthropogenic gradients, with functional convergence among types of forest that are floristically dissimilar. Combining these spatial predictions with scenarios of climatic and anthropogenic global change suggests a high vulnerability of the northern and southern forest margins, the Atlantic forests and most forests in the Democratic Republic of the Congo, where both climate and anthropogenic threats are expected to increase sharply by 2085. These results constitute key quantitative benchmarks for scientists and policymakers to shape transnational conservation and management strategies that aim to provide a sustainable future for central African forests. A large dataset of 6 million trees from 193 taxa is used to map the floristic and functional composition of central African forests and predict their vulnerability to climate change.
Maxime Réjou-Méchain; Frédéric Mortier; Jean-François Bastin; Guillaume Cornu; Nicolas Barbier; Nicolas Bayol; Fabrice Bénédet; Xavier Bry; Gilles Dauby; Vincent Deblauwe; Jean-Louis Doucet; Charles Doumenge; Adeline Fayolle; Claude Garcia; Jean-Paul Kibambe Lubamba; Jean-Joël Loumeto; Alfred Ngomanda; Pierre Ploton; Bonaventure Sonké; Catherine Trottier; Ruppert Vimal; Olga Yongo; Raphaël Pélissier; Sylvie Gourlet-Fleury. Unveiling African rainforest composition and vulnerability to global change. Nature 2021, 593, 90 -94.
AMA StyleMaxime Réjou-Méchain, Frédéric Mortier, Jean-François Bastin, Guillaume Cornu, Nicolas Barbier, Nicolas Bayol, Fabrice Bénédet, Xavier Bry, Gilles Dauby, Vincent Deblauwe, Jean-Louis Doucet, Charles Doumenge, Adeline Fayolle, Claude Garcia, Jean-Paul Kibambe Lubamba, Jean-Joël Loumeto, Alfred Ngomanda, Pierre Ploton, Bonaventure Sonké, Catherine Trottier, Ruppert Vimal, Olga Yongo, Raphaël Pélissier, Sylvie Gourlet-Fleury. Unveiling African rainforest composition and vulnerability to global change. Nature. 2021; 593 (7857):90-94.
Chicago/Turabian StyleMaxime Réjou-Méchain; Frédéric Mortier; Jean-François Bastin; Guillaume Cornu; Nicolas Barbier; Nicolas Bayol; Fabrice Bénédet; Xavier Bry; Gilles Dauby; Vincent Deblauwe; Jean-Louis Doucet; Charles Doumenge; Adeline Fayolle; Claude Garcia; Jean-Paul Kibambe Lubamba; Jean-Joël Loumeto; Alfred Ngomanda; Pierre Ploton; Bonaventure Sonké; Catherine Trottier; Ruppert Vimal; Olga Yongo; Raphaël Pélissier; Sylvie Gourlet-Fleury. 2021. "Unveiling African rainforest composition and vulnerability to global change." Nature 593, no. 7857: 90-94.
Aim Tree crowns determine light interception, carbon and water exchange. Thus, understanding the factors causing tree crown allometry to vary at the tree and stand level matters greatly for the development of future vegetation modelling and for the calibration of remote sensing products. Nevertheless, we know little about large‐scale variation and determinants in tropical tree crown allometry. In this study, we explored the continental variation in scaling exponents of site‐specific crown allometry and assessed their relationships with environmental and stand‐level variables in the tropics. Location Global tropics. Time period Early 21st century. Major taxa studied Woody plants. Methods Using a dataset of 87,737 trees distributed among 245 forest and savanna sites across the tropics, we fitted site‐specific allometric relationships between crown dimensions (crown depth, diameter and volume) and stem diameter using power‐law models. Stand‐level and environmental drivers of crown allometric relationships were assessed at pantropical and continental scales. Results The scaling exponents of allometric relationships between stem diameter and crown dimensions were higher in savannas than in forests. We identified that continental crown models were better than pantropical crown models and that continental differences in crown allometric relationships were driven by both stand‐level (wood density) and environmental (precipitation, cation exchange capacity and soil texture) variables for both tropical biomes. For a given diameter, forest trees from Asia and savanna trees from Australia had smaller crown dimensions than trees in Africa and America, with crown volumes for some Asian forest trees being smaller than those of trees in African forests. Main conclusions Our results provide new insight into geographical variability, with large continental differences in tropical tree crown allometry that were driven by stand‐level and environmental variables. They have implications for the assessment of ecosystem function and for the monitoring of woody biomass by remote sensing techniques in the global tropics.
Grace Jopaul Loubota Panzou; Adeline Fayolle; Tommaso Jucker; Oliver L. Phillips; Stephanie Bohlman; Lindsay F. Banin; Simon L. Lewis; Kofi Affum‐Baffoe; Luciana F. Alves; Cécile Antin; Eric Arets; Luzmila Arroyo; Timothy R. Baker; Nicolas Barbier; Hans Beeckman; Uta Berger; Yannick Enock Bocko; Frans Bongers; Sam Bowers; Thom Brade; Eduardo S. Brondizio; Arthur Chantrain; Jerome Chave; Halidou Compaore; David Coomes; Adama Diallo; Arildo S. Dias; Kangbéni Dimobe; Gloria Djaney Djagbletey; Tomas Domingues; Jean‐Louis Doucet; Thomas Drouet; Eric Forni; John L. Godlee; Rosa C. Goodman; Sylvie Gourlet‐Fleury; Fidele Hien; Yoshiko Iida; Bhely Angoboy Ilondea; Jonathan Ilunga Muledi; Pierre Jacques; Shem Kuyah; Jorge López‐Portillo; Jean Joël Loumeto; Ben Hur Marimon‐Junior; Beatriz Schwantes Marimon; Sylvanus Mensah; Edward T. A. Mitchard; Glenn R. Moncrieff; Ayyappan Narayanan; Sean T. O’Brien; Korotimi Ouedraogo; Michael W. Palace; Raphael Pelissier; Pierre Ploton; Lourens Poorter; Casey M. Ryan; Gustavo Saiz; Karin Dos Santos; Michael Schlund; Giacomo Sellan; Bonaventure Sonke; Frank Sterck; Quentin Thibaut; Yorick Van Hoef; Elmar Veenendaal; Alejandra G. Vovides; Yaozhan Xu; Tze Leong Yao; Ted R. Feldpausch. Pantropical variability in tree crown allometry. Global Ecology and Biogeography 2020, 30, 459 -475.
AMA StyleGrace Jopaul Loubota Panzou, Adeline Fayolle, Tommaso Jucker, Oliver L. Phillips, Stephanie Bohlman, Lindsay F. Banin, Simon L. Lewis, Kofi Affum‐Baffoe, Luciana F. Alves, Cécile Antin, Eric Arets, Luzmila Arroyo, Timothy R. Baker, Nicolas Barbier, Hans Beeckman, Uta Berger, Yannick Enock Bocko, Frans Bongers, Sam Bowers, Thom Brade, Eduardo S. Brondizio, Arthur Chantrain, Jerome Chave, Halidou Compaore, David Coomes, Adama Diallo, Arildo S. Dias, Kangbéni Dimobe, Gloria Djaney Djagbletey, Tomas Domingues, Jean‐Louis Doucet, Thomas Drouet, Eric Forni, John L. Godlee, Rosa C. Goodman, Sylvie Gourlet‐Fleury, Fidele Hien, Yoshiko Iida, Bhely Angoboy Ilondea, Jonathan Ilunga Muledi, Pierre Jacques, Shem Kuyah, Jorge López‐Portillo, Jean Joël Loumeto, Ben Hur Marimon‐Junior, Beatriz Schwantes Marimon, Sylvanus Mensah, Edward T. A. Mitchard, Glenn R. Moncrieff, Ayyappan Narayanan, Sean T. O’Brien, Korotimi Ouedraogo, Michael W. Palace, Raphael Pelissier, Pierre Ploton, Lourens Poorter, Casey M. Ryan, Gustavo Saiz, Karin Dos Santos, Michael Schlund, Giacomo Sellan, Bonaventure Sonke, Frank Sterck, Quentin Thibaut, Yorick Van Hoef, Elmar Veenendaal, Alejandra G. Vovides, Yaozhan Xu, Tze Leong Yao, Ted R. Feldpausch. Pantropical variability in tree crown allometry. Global Ecology and Biogeography. 2020; 30 (2):459-475.
Chicago/Turabian StyleGrace Jopaul Loubota Panzou; Adeline Fayolle; Tommaso Jucker; Oliver L. Phillips; Stephanie Bohlman; Lindsay F. Banin; Simon L. Lewis; Kofi Affum‐Baffoe; Luciana F. Alves; Cécile Antin; Eric Arets; Luzmila Arroyo; Timothy R. Baker; Nicolas Barbier; Hans Beeckman; Uta Berger; Yannick Enock Bocko; Frans Bongers; Sam Bowers; Thom Brade; Eduardo S. Brondizio; Arthur Chantrain; Jerome Chave; Halidou Compaore; David Coomes; Adama Diallo; Arildo S. Dias; Kangbéni Dimobe; Gloria Djaney Djagbletey; Tomas Domingues; Jean‐Louis Doucet; Thomas Drouet; Eric Forni; John L. Godlee; Rosa C. Goodman; Sylvie Gourlet‐Fleury; Fidele Hien; Yoshiko Iida; Bhely Angoboy Ilondea; Jonathan Ilunga Muledi; Pierre Jacques; Shem Kuyah; Jorge López‐Portillo; Jean Joël Loumeto; Ben Hur Marimon‐Junior; Beatriz Schwantes Marimon; Sylvanus Mensah; Edward T. A. Mitchard; Glenn R. Moncrieff; Ayyappan Narayanan; Sean T. O’Brien; Korotimi Ouedraogo; Michael W. Palace; Raphael Pelissier; Pierre Ploton; Lourens Poorter; Casey M. Ryan; Gustavo Saiz; Karin Dos Santos; Michael Schlund; Giacomo Sellan; Bonaventure Sonke; Frank Sterck; Quentin Thibaut; Yorick Van Hoef; Elmar Veenendaal; Alejandra G. Vovides; Yaozhan Xu; Tze Leong Yao; Ted R. Feldpausch. 2020. "Pantropical variability in tree crown allometry." Global Ecology and Biogeography 30, no. 2: 459-475.
To fulfil their growth and reproductive functions, trees develop a three‐dimensional structure that is subject to both internal and external constraints. This is reflected by the unique architecture of each individual at a given time. Addressing the crown dimensions and topological structure of large tropical trees is challenging considering their complexity, size and longevity. Terrestrial laser scanning (TLS) technology offers a new opportunity for characterising and comparing these properties across a large number of individuals and species. In the present study, we specifically developed topology and geometry metrics of crown architecture from TLS data and investigated how they correlated with metrics of tree and crown form, crown position and shade tolerance. Fifty‐nine trees belonging to 14 coexisting canopy species in semideciduous forests of Cameroon were scanned with TLS and reconstructed using quantitative structural models (QSMs). The species belonged to different shade‐tolerance groups and were sampled in different crown positions. Crown‐form metrics and branch topology metrics were quantified from the TLS data, and principal component analysis (PCA) was used to study how the 59 sampled trees were distributed along axes of architectural diversity. Allometric scaling parameters derived from West Brown and Enquist (WBE) metabolic theory were also quantified from the QSMs, and their correlations with the PCA axes were evaluated. The results revealed that the branch topology and crown‐form metrics were not correlated since similar topologies could lead to contrasting crown forms. Crown form, but not branch topology, changed with tree shade tolerance, while convergence in tree topology and towards expected WBE parameters was observed for all trees reaching dominant crown positions independent of species shade tolerance. This convergence is interpreted as resulting from a liberation effect of canopy trees from side‐shading constraints, leading to crown development processes through sequential reiteration. A free Plain Language Summary can be found within the Supporting Information of this article.
Olivier Martin‐Ducup; Pierre Ploton; Nicolas Barbier; Stéphane Momo Takoudjou; Gislain Mofack; Narcisse Guy Kamdem; Thierry Fourcaud; Bonaventure Sonké; Pierre Couteron; Raphaël Pélissier. Terrestrial laser scanning reveals convergence of tree architecture with increasingly dominant crown canopy position. Functional Ecology 2020, 34, 2442 -2452.
AMA StyleOlivier Martin‐Ducup, Pierre Ploton, Nicolas Barbier, Stéphane Momo Takoudjou, Gislain Mofack, Narcisse Guy Kamdem, Thierry Fourcaud, Bonaventure Sonké, Pierre Couteron, Raphaël Pélissier. Terrestrial laser scanning reveals convergence of tree architecture with increasingly dominant crown canopy position. Functional Ecology. 2020; 34 (12):2442-2452.
Chicago/Turabian StyleOlivier Martin‐Ducup; Pierre Ploton; Nicolas Barbier; Stéphane Momo Takoudjou; Gislain Mofack; Narcisse Guy Kamdem; Thierry Fourcaud; Bonaventure Sonké; Pierre Couteron; Raphaël Pélissier. 2020. "Terrestrial laser scanning reveals convergence of tree architecture with increasingly dominant crown canopy position." Functional Ecology 34, no. 12: 2442-2452.
Mapping aboveground forest biomass is central for assessing the global carbon balance. However, current large-scale maps show strong disparities, despite good validation statistics of their underlying models. Here, we attribute this contradiction to a flaw in the validation methods, which ignore spatial autocorrelation (SAC) in data, leading to overoptimistic assessment of model predictive power. To illustrate this issue, we reproduce the approach of large-scale mapping studies using a massive forest inventory dataset of 11.8 million trees in central Africa to train and validate a random forest model based on multispectral and environmental variables. A standard nonspatial validation method suggests that the model predicts more than half of the forest biomass variation, while spatial validation methods accounting for SAC reveal quasi-null predictive power. This study underscores how a common practice in big data mapping studies shows an apparent high predictive power, even when predictors have poor relationships with the ecological variable of interest, thus possibly leading to erroneous maps and interpretations.
Pierre Ploton; Frédéric Mortier; Maxime Réjou-Méchain; Nicolas Barbier; Nicolas Picard; Vivien Rossi; Carsten Dormann; Guillaume Cornu; Gaëlle Viennois; Nicolas Bayol; Alexei Lyapustin; Sylvie Gourlet-Fleury; Raphaël Pélissier. Spatial validation reveals poor predictive performance of large-scale ecological mapping models. Nature Communications 2020, 11, 1 -11.
AMA StylePierre Ploton, Frédéric Mortier, Maxime Réjou-Méchain, Nicolas Barbier, Nicolas Picard, Vivien Rossi, Carsten Dormann, Guillaume Cornu, Gaëlle Viennois, Nicolas Bayol, Alexei Lyapustin, Sylvie Gourlet-Fleury, Raphaël Pélissier. Spatial validation reveals poor predictive performance of large-scale ecological mapping models. Nature Communications. 2020; 11 (1):1-11.
Chicago/Turabian StylePierre Ploton; Frédéric Mortier; Maxime Réjou-Méchain; Nicolas Barbier; Nicolas Picard; Vivien Rossi; Carsten Dormann; Guillaume Cornu; Gaëlle Viennois; Nicolas Bayol; Alexei Lyapustin; Sylvie Gourlet-Fleury; Raphaël Pélissier. 2020. "Spatial validation reveals poor predictive performance of large-scale ecological mapping models." Nature Communications 11, no. 1: 1-11.
The Paris Climate Agreements and Sustainable Development Goals, signed by 197 countries, present agendas and address key issues for implementing multi-scale responses for sustainable development under climate change—an effort that must involve local, regional, national, and supra-national stakeholders. In that regard, Continental Carbon Sequestration (CoCS) and conservation of carbon sinks are recognized increasingly as having potentially important roles in mitigating climate change and adapting to it. Making that potential a reality will require indicators of success for various stakeholders from multidisciplinary backgrounds, plus promotion of long-term implementation of strategic action towards civil society (e.g., law and policy makers, economists, and farmers). To help meet those challenges, this discussion paper summarizes the state of the art and uncertainties regarding CoCS, taking an interdisciplinary, holistic approach toward understanding these complex issues. The first part of the paper discusses the carbon cycle’s bio-geophysical processes, while the second introduces the plurality of geographical scales to be addressed when dealing with landscape management for CoCS. The third part addresses systemic viability, vulnerability, and resilience in CoCS practices, before concluding with the need to develop inter-disciplinarity in sustainable science, participative research, and the societal implications of sustainable CoCS actions.
Tiphaine Chevallier; Maud Loireau; Romain Courault; Lydie Chapuis-Lardy; Thierry Desjardins; Cécile Gomez; Alexandre Grondin; Frédéric Guérin; Didier Orange; Raphaël Pélissier; Georges Serpantié; Marie-Hélène Durand; Pierre Derioz; Gildas Laruelle Goulven; Marie-Hélène Schwoob; Nicolas Viovy; Olivier Barrière; Eric Blanchart; Vincent Blanfort; Michel Brossard; Julien Demenois; Mireille Fargette; Thierry Heulin; Gil Mahe; Raphaël Manlay; Pascal Podwojewski; Cornélia Rumpel; Benjamin Sultan; Jean-Luc Chotte. Paris Climate Agreement: Promoting Interdisciplinary Science and Stakeholders’ Approaches for Multi-Scale Implementation of Continental Carbon Sequestration. Sustainability 2020, 12, 6715 .
AMA StyleTiphaine Chevallier, Maud Loireau, Romain Courault, Lydie Chapuis-Lardy, Thierry Desjardins, Cécile Gomez, Alexandre Grondin, Frédéric Guérin, Didier Orange, Raphaël Pélissier, Georges Serpantié, Marie-Hélène Durand, Pierre Derioz, Gildas Laruelle Goulven, Marie-Hélène Schwoob, Nicolas Viovy, Olivier Barrière, Eric Blanchart, Vincent Blanfort, Michel Brossard, Julien Demenois, Mireille Fargette, Thierry Heulin, Gil Mahe, Raphaël Manlay, Pascal Podwojewski, Cornélia Rumpel, Benjamin Sultan, Jean-Luc Chotte. Paris Climate Agreement: Promoting Interdisciplinary Science and Stakeholders’ Approaches for Multi-Scale Implementation of Continental Carbon Sequestration. Sustainability. 2020; 12 (17):6715.
Chicago/Turabian StyleTiphaine Chevallier; Maud Loireau; Romain Courault; Lydie Chapuis-Lardy; Thierry Desjardins; Cécile Gomez; Alexandre Grondin; Frédéric Guérin; Didier Orange; Raphaël Pélissier; Georges Serpantié; Marie-Hélène Durand; Pierre Derioz; Gildas Laruelle Goulven; Marie-Hélène Schwoob; Nicolas Viovy; Olivier Barrière; Eric Blanchart; Vincent Blanfort; Michel Brossard; Julien Demenois; Mireille Fargette; Thierry Heulin; Gil Mahe; Raphaël Manlay; Pascal Podwojewski; Cornélia Rumpel; Benjamin Sultan; Jean-Luc Chotte. 2020. "Paris Climate Agreement: Promoting Interdisciplinary Science and Stakeholders’ Approaches for Multi-Scale Implementation of Continental Carbon Sequestration." Sustainability 12, no. 17: 6715.
Forest biomass is key in Earth carbon cycle and climate system, and thus under intense scrutiny in the context of international climate change mitigation initiatives (e.g. REDD+). In tropical forests, the spatial distribution of aboveground biomass (AGB) remains, however, highly uncertain. There is increasing recognition that progress is strongly limited by the lack of field observations over large and remote areas. Here, we introduce the Congo basin Forests AGB (CoFor-AGB) dataset that contains AGB estimations and associated uncertainty for 59,857 1-km pixels aggregated from nearly 100,000 ha of in situ forest management inventories for the 2000 - early 2010s period in five central African countries. A comprehensive error propagation scheme suggests that the uncertainty on AGB estimations derived from c. 0.5-ha inventory plots (8.6-15.0%) is only moderately higher than the error obtained from scientific sampling plots (8.3%). CoFor-AGB provides the first large scale view of forest AGB spatial variation from field data in central Africa, the second largest continuous tropical forest domain of the world.
Pierre Ploton; Frédéric Mortier; Nicolas Barbier; Guillaume Cornu; Maxime Réjou-Méchain; Vivien Rossi; Alfonso Alonso; Jean-François Bastin; Nicolas Bayol; Fabrice Bénédet; Pulchérie Bissiengou; Georges Chuyong; Benoît Demarquez; Jean-Louis Doucet; Vincent Droissart; Narcisse Guy Kamdem; David Kenfack; Hervé Memiaghe; Libalah Moses; Bonaventure Sonké; Nicolas Texier; Duncan Thomas; Donatien Zebaze; Raphaël Pélissier; Sylvie Gourlet-Fleury. A map of African humid tropical forest aboveground biomass derived from management inventories. 2020, 7, 221 .
AMA StylePierre Ploton, Frédéric Mortier, Nicolas Barbier, Guillaume Cornu, Maxime Réjou-Méchain, Vivien Rossi, Alfonso Alonso, Jean-François Bastin, Nicolas Bayol, Fabrice Bénédet, Pulchérie Bissiengou, Georges Chuyong, Benoît Demarquez, Jean-Louis Doucet, Vincent Droissart, Narcisse Guy Kamdem, David Kenfack, Hervé Memiaghe, Libalah Moses, Bonaventure Sonké, Nicolas Texier, Duncan Thomas, Donatien Zebaze, Raphaël Pélissier, Sylvie Gourlet-Fleury. A map of African humid tropical forest aboveground biomass derived from management inventories. . 2020; 7 (1):221.
Chicago/Turabian StylePierre Ploton; Frédéric Mortier; Nicolas Barbier; Guillaume Cornu; Maxime Réjou-Méchain; Vivien Rossi; Alfonso Alonso; Jean-François Bastin; Nicolas Bayol; Fabrice Bénédet; Pulchérie Bissiengou; Georges Chuyong; Benoît Demarquez; Jean-Louis Doucet; Vincent Droissart; Narcisse Guy Kamdem; David Kenfack; Hervé Memiaghe; Libalah Moses; Bonaventure Sonké; Nicolas Texier; Duncan Thomas; Donatien Zebaze; Raphaël Pélissier; Sylvie Gourlet-Fleury. 2020. "A map of African humid tropical forest aboveground biomass derived from management inventories." 7, no. 1: 221.
Forest biomass is key in Earth carbon cycle and climate system, and thus under intense scrutiny in the context of international climate change mitigation initiatives (e.g. REDD+). In tropical forests, the spatial distribution of aboveground biomass (AGB) remains, however, highly uncertain. There is increasing recognition that progress is strongly limited by the lack of field observations over large and remote areas. Here, we introduce the Congo basin Forests AGB (CoFor-AGB) dataset that contains AGB estimations and associated uncertainty for 59,857 1-km pixels aggregated from nearly 100,000 ha of in situ forest management inventories for the 2000 – early 2010s period in five central African countries. A comprehensive error propagation scheme suggests that the uncertainty on AGB estimations derived from c. 0.5-ha inventory plots (8.6–15.0%) is only moderately higher than the error obtained from scientific sampling plots (8.3%). CoFor-AGB provides the first large scale view of forest AGB spatial variation from field data in central Africa, the second largest continuous tropical forest domain of the world.
Pierre Ploton; Frédéric Mortier; Nicolas Barbier; Guillaume Cornu; Maxime Réjou-Méchain; Vivien Rossi; Alfonso Alonso; Jean-François Bastin; Nicolas Bayol; Fabrice Bénédet; Pulchérie Bissiengou; Georges Chuyong; Benoît Demarquez; Jean-Louis Doucet; Vincent Droissart; Narcisse Guy Kamdem; David Kenfack; Hervé Memiaghe; Libalah Moses; Bonaventure Sonké; Nicolas Texier; Duncan Thomas; Donatien Zebaze; Raphaël Pélissier; Sylvie Gourlet-Fleury. A map of African humid tropical forest aboveground biomass derived from management inventories. Scientific Data 2020, 7, 1 .
AMA StylePierre Ploton, Frédéric Mortier, Nicolas Barbier, Guillaume Cornu, Maxime Réjou-Méchain, Vivien Rossi, Alfonso Alonso, Jean-François Bastin, Nicolas Bayol, Fabrice Bénédet, Pulchérie Bissiengou, Georges Chuyong, Benoît Demarquez, Jean-Louis Doucet, Vincent Droissart, Narcisse Guy Kamdem, David Kenfack, Hervé Memiaghe, Libalah Moses, Bonaventure Sonké, Nicolas Texier, Duncan Thomas, Donatien Zebaze, Raphaël Pélissier, Sylvie Gourlet-Fleury. A map of African humid tropical forest aboveground biomass derived from management inventories. Scientific Data. 2020; 7 (1):1.
Chicago/Turabian StylePierre Ploton; Frédéric Mortier; Nicolas Barbier; Guillaume Cornu; Maxime Réjou-Méchain; Vivien Rossi; Alfonso Alonso; Jean-François Bastin; Nicolas Bayol; Fabrice Bénédet; Pulchérie Bissiengou; Georges Chuyong; Benoît Demarquez; Jean-Louis Doucet; Vincent Droissart; Narcisse Guy Kamdem; David Kenfack; Hervé Memiaghe; Libalah Moses; Bonaventure Sonké; Nicolas Texier; Duncan Thomas; Donatien Zebaze; Raphaël Pélissier; Sylvie Gourlet-Fleury. 2020. "A map of African humid tropical forest aboveground biomass derived from management inventories." Scientific Data 7, no. 1: 1.
Aim Examining tree species‐environment association can offer insight into the drivers of vegetation patterns and key information of practical relevance to forest management. Here, we aim to quantify the contribution of climate and soil gradients to variation in Central African tree species composition (abundance and occurrence). Location Tropical rainforests of southern and eastern Cameroon. Methods We established 82 1‐ha permanent plots across seven localities and censused all trees ≥ 10 cm in diameter, representing a total of 37,733 trees and 455 species. In 60 of those plots, we measured ten soil variables describing texture and nutrients levels and extracted ten bioclimatic variables from global‐gridded climate databases. We synthesized the main environmental gradients by conducting principal component analyses on climate and soil data respectively. We performed unconstrained and constrained non‐symmetric correspondence analyses to account for the individual and joint contributions of climate and soil on species abundance and occurrence. Results Climate and soil contributed similarly to variances of species abundance and occurrence (12–15 % variance for climate vs. 11–12 % variance for soil). Climate influence mostly concerns some abundant species, while some of the less abundant species were mainly driven by soil. Fractions of species variances accounted for by climate and soil show strong correlation when assessed from species occurrence and abundance data. Conclusion Variation in occurrence and abundance of tropical forest trees can be partly shaped by both climate and soil gradients in Cameroon, which emphasizes the importance to jointly consider soil and climate in species distribution modeling. Less abundant species may express environmental influence differently than abundant species and convey complementary information about community assemblage. Though showing congruent patterns here, species abundance and occurrence reflect different interacting community processes and both should be examined to better understand vegetation patterns.
Moses Bakonck Libalah; Vincent Droissart; Bonaventure Sonké; Nicolas Barbier; Gilles Dauby; Claire Fortunel; Gyslene Kamdem; Narcisse Kamdem; Simon L. Lewis; Gislain Ii Mofack; Stéphane Takoudjou Momo; Raphaël Pélissier; Pierre Ploton; Nicolas Texier; Donatien Zebazé; Pierre Couteron. Additive influences of soil and climate gradients drive tree community composition of Central African rain forests. Journal of Vegetation Science 2020, 31, 1154 -1167.
AMA StyleMoses Bakonck Libalah, Vincent Droissart, Bonaventure Sonké, Nicolas Barbier, Gilles Dauby, Claire Fortunel, Gyslene Kamdem, Narcisse Kamdem, Simon L. Lewis, Gislain Ii Mofack, Stéphane Takoudjou Momo, Raphaël Pélissier, Pierre Ploton, Nicolas Texier, Donatien Zebazé, Pierre Couteron. Additive influences of soil and climate gradients drive tree community composition of Central African rain forests. Journal of Vegetation Science. 2020; 31 (6):1154-1167.
Chicago/Turabian StyleMoses Bakonck Libalah; Vincent Droissart; Bonaventure Sonké; Nicolas Barbier; Gilles Dauby; Claire Fortunel; Gyslene Kamdem; Narcisse Kamdem; Simon L. Lewis; Gislain Ii Mofack; Stéphane Takoudjou Momo; Raphaël Pélissier; Pierre Ploton; Nicolas Texier; Donatien Zebazé; Pierre Couteron. 2020. "Additive influences of soil and climate gradients drive tree community composition of Central African rain forests." Journal of Vegetation Science 31, no. 6: 1154-1167.
Wood density (WD) relates to important tree functions such as stem mechanics and resistance against pathogens. This functional trait can exhibit high intraindividual variability both radially and vertically. With the rise of LiDAR-based methodologies allowing nondestructive tree volume estimations, failing to account for WD variations related to tree function and biomass investment strategies may lead to large systematic bias in AGB estimations. Here, we use a unique destructive dataset from 822 trees belonging to 51 phylogenetically dispersed tree species harvested across forest types in Central Africa to determine vertical gradients in WD from the stump to the branch tips, how these gradients relate to regeneration guilds and their implications for AGB estimations. We find that decreasing WD from the tree base to the branch tips is characteristic of shade-tolerant species, while light-demanding and pioneer species exhibit stationary or increasing vertical trends. Across all species, the WD range is narrower in tree crowns than at the tree base, reflecting more similar physiological and mechanical constraints in the canopy. Vertical gradients in WD induce significant bias (10%) in AGB estimates when using database-derived species-average WD data. However, the correlation between the vertical gradients and basal WD allows the derivation of general correction models. With the ongoing development of remote sensing products providing 3D information for entire trees and forest stands, our findings indicate promising ways to improve greenhouse gas accounting in tropical countries and advance our understanding of adaptive strategies allowing trees to grow and survive in dense rainforests.
Stéphane Takoudjou Momo; Preredd Collaborators; Pierre Ploton; Olivier Martin-Ducup; Romain Lehnebach; Claire Fortunel; Le Bienfaiteur Takougoum Sagang; Faustin Boyemba; Pierre Couteron; Adeline Fayolle; Moses Libalah; Joel Loumeto; Vincent Medjibe; Alfred Ngomanda; Diosdado Obiang; Raphaël Pélissier; Vivien Rossi; Olga Yongo; Bonaventure Sonké; Nicolas Barbier. Leveraging Signatures of Plant Functional Strategies in Wood Density Profiles of African Trees to Correct Mass Estimations From Terrestrial Laser Data. Scientific Reports 2020, 10, 1 -11.
AMA StyleStéphane Takoudjou Momo, Preredd Collaborators, Pierre Ploton, Olivier Martin-Ducup, Romain Lehnebach, Claire Fortunel, Le Bienfaiteur Takougoum Sagang, Faustin Boyemba, Pierre Couteron, Adeline Fayolle, Moses Libalah, Joel Loumeto, Vincent Medjibe, Alfred Ngomanda, Diosdado Obiang, Raphaël Pélissier, Vivien Rossi, Olga Yongo, Bonaventure Sonké, Nicolas Barbier. Leveraging Signatures of Plant Functional Strategies in Wood Density Profiles of African Trees to Correct Mass Estimations From Terrestrial Laser Data. Scientific Reports. 2020; 10 (1):1-11.
Chicago/Turabian StyleStéphane Takoudjou Momo; Preredd Collaborators; Pierre Ploton; Olivier Martin-Ducup; Romain Lehnebach; Claire Fortunel; Le Bienfaiteur Takougoum Sagang; Faustin Boyemba; Pierre Couteron; Adeline Fayolle; Moses Libalah; Joel Loumeto; Vincent Medjibe; Alfred Ngomanda; Diosdado Obiang; Raphaël Pélissier; Vivien Rossi; Olga Yongo; Bonaventure Sonké; Nicolas Barbier. 2020. "Leveraging Signatures of Plant Functional Strategies in Wood Density Profiles of African Trees to Correct Mass Estimations From Terrestrial Laser Data." Scientific Reports 10, no. 1: 1-11.
Half of Asian tropical forests were disturbed in the last century resulting in the dominance of secondary forests in Southeast Asia. However, the rate at which biomass accumulates during the recovery process in these forests is poorly understood. We studied a forest landscape located in Khao Yai National Park (Thailand) that experienced strong disturbances in the last century due to clearance by swidden farmers. Combining recent field and airborne laser scanning (ALS) data, we first built a high-resolution aboveground biomass (AGB) map of over 60 km2 of forest landscape. We then used the random forest algorithm and Landsat time series (LTS) data to classify landscape patches as non-forested versus forested on an almost annual basis from 1972 to 2017. The resulting chronosequence was then used in combination with the AGB map to estimate forest carbon recovery rates in secondary forest patches during the first 42 years of succession. The ALS-AGB model predicted AGB with an error of 14 % at 0.5 ha resolution (RMSE=45 Mg ha−1) using the mean top-of-canopy height as a single predictor. The mean AGB over the landscape was 291 Mg ha−1, showing a high level of carbon storage despite past disturbance history. We found that AGB recovery varies non-linearly in the first 42 years of the succession, with an increasing rate of accumulation through time. We predicted a mean AGB recovery rate of 6.9 Mgha-1yr-1, with a mean AGB gain of 143 and 273 Mg ha−1 after 20 and 40 years, respectively. This rate estimate is about 50 % larger than the rate prescribed for young secondary Asian tropical rainforests in the 2019 refinement of the 2006 IPCC guidelines for national greenhouse gas inventories. Our study hence suggests that the new IPCC rates, which were based on limited data from Asian tropical rainforests, strongly underestimate the carbon potential of forest regrowth in tropical Asia. Our recovery estimates are also within the range of those reported for the well-studied Latin American secondary forests under similar climatic conditions. This study illustrates the potential of ALS data not only for scaling up field AGB measurements but also for predicting AGB recovery dynamics when combined with long-term satellite data. It also illustrates that tropical forest landscapes that were disturbed in the past are of utmost importance for the regional carbon budget and thus for implementing international programs such as REDD+.
Nidhi Jha; Nitin Kumar Tripathi; Wirong Chanthorn; Warren Brockelman; Anuttara Nathalang; Raphaël Pélissier; Siriruk Pimmasarn; Pierre Ploton; Nophea Sasaki; Salvatore G. P. Virdis; Maxime Réjou-Méchain. Forest aboveground biomass stock and resilience in a tropical landscape of Thailand. Biogeosciences 2020, 17, 121 -134.
AMA StyleNidhi Jha, Nitin Kumar Tripathi, Wirong Chanthorn, Warren Brockelman, Anuttara Nathalang, Raphaël Pélissier, Siriruk Pimmasarn, Pierre Ploton, Nophea Sasaki, Salvatore G. P. Virdis, Maxime Réjou-Méchain. Forest aboveground biomass stock and resilience in a tropical landscape of Thailand. Biogeosciences. 2020; 17 (1):121-134.
Chicago/Turabian StyleNidhi Jha; Nitin Kumar Tripathi; Wirong Chanthorn; Warren Brockelman; Anuttara Nathalang; Raphaël Pélissier; Siriruk Pimmasarn; Pierre Ploton; Nophea Sasaki; Salvatore G. P. Virdis; Maxime Réjou-Méchain. 2020. "Forest aboveground biomass stock and resilience in a tropical landscape of Thailand." Biogeosciences 17, no. 1: 121-134.
A lack of spatial congruence between carbon storage and biodiversity in intact forests suggests limited cobenefits of carbon‐focused policies for conserving tropical biodiversity. However, whether the same applies in tropical human‐dominated landscapes (HDLs) is unclear. In India's Western Ghats Biodiversity Hotspot, we found that while HDL forests harbor lower tree diversity and aboveground carbon stocks than relatively intact forests, positive diversity–carbon correlations are more prevalent in HDLs. This is because anthropogenic drivers of species loss in HDLs consistently reduce carbon storing biomass volume (lower basal area), and biomass per unit volume (fewer hardwood trees). We further show, using a meta‐analysis spanning multiple regions, that these patterns apply to tropical HDLs more generally. Thus, while complementary strategies are needed for securing the irreplaceable biodiversity and carbon values of intact forests, ubiquitous tropical HDLs might hold greater potential for synergizing biodiversity conservation and climate change mitigation.
Anand M. Osuri; Siddarth Machado; Jayashree Ratnam; Mahesh Sankaran; N. Ayyappan; S. Muthuramkumar; N. Parthasarathy; Raphaël Pélissier; B. R. Ramesh; Ruth DeFries; Shahid Naeem. Tree diversity and carbon storage cobenefits in tropical human‐dominated landscapes. Conservation Letters 2020, 13, 1 .
AMA StyleAnand M. Osuri, Siddarth Machado, Jayashree Ratnam, Mahesh Sankaran, N. Ayyappan, S. Muthuramkumar, N. Parthasarathy, Raphaël Pélissier, B. R. Ramesh, Ruth DeFries, Shahid Naeem. Tree diversity and carbon storage cobenefits in tropical human‐dominated landscapes. Conservation Letters. 2020; 13 (2):1.
Chicago/Turabian StyleAnand M. Osuri; Siddarth Machado; Jayashree Ratnam; Mahesh Sankaran; N. Ayyappan; S. Muthuramkumar; N. Parthasarathy; Raphaël Pélissier; B. R. Ramesh; Ruth DeFries; Shahid Naeem. 2020. "Tree diversity and carbon storage cobenefits in tropical human‐dominated landscapes." Conservation Letters 13, no. 2: 1.
Forest biomass monitoring is at the core of the research agenda due to the critical importance of forest dynamics in the carbon cycle. However, forest biomass is never directly measured; thus, upscaling it from trees to stand or larger scales (e.g., countries, regions) relies on a series of statistical models that may propagate large errors. Here, we review the main steps usually adopted in forest aboveground biomass mapping, highlighting the major challenges and perspectives. We show that there is room for improvement along the scaling-up chain from field data collection to satellite-based large-scale mapping, which should lead to the adoption of effective practices to better control the propagation of errors. We specifically illustrate how the increasing use of emerging technologies to collect massive amounts of high-quality data may significantly improve the accuracy of forest carbon maps. Furthermore, we discuss how sources of spatially structured biases that directly propagate into remote sensing models need to be better identified and accounted for when extrapolating forest carbon estimates, e.g., through a stratification design. We finally discuss the increasing realism of 3D simulated stands, which, through radiative transfer modelling, may contribute to a better understanding of remote sensing signals and open avenues for the direct calibration of large-scale products, thereby circumventing several current difficulties.
Maxime Réjou-Méchain; Nicolas Barbier; Pierre Couteron; Pierre Ploton; Grégoire Vincent; Martin Herold; Stéphane Mermoz; Sassan Saatchi; Jérôme Chave; Florian de Boissieu; Jean-Baptiste Féret; Stéphane Momo Takoudjou; Raphaël Pélissier. Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them. Surveys in Geophysics 2019, 40, 881 -911.
AMA StyleMaxime Réjou-Méchain, Nicolas Barbier, Pierre Couteron, Pierre Ploton, Grégoire Vincent, Martin Herold, Stéphane Mermoz, Sassan Saatchi, Jérôme Chave, Florian de Boissieu, Jean-Baptiste Féret, Stéphane Momo Takoudjou, Raphaël Pélissier. Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them. Surveys in Geophysics. 2019; 40 (4):881-911.
Chicago/Turabian StyleMaxime Réjou-Méchain; Nicolas Barbier; Pierre Couteron; Pierre Ploton; Grégoire Vincent; Martin Herold; Stéphane Mermoz; Sassan Saatchi; Jérôme Chave; Florian de Boissieu; Jean-Baptiste Féret; Stéphane Momo Takoudjou; Raphaël Pélissier. 2019. "Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them." Surveys in Geophysics 40, no. 4: 881-911.
Aim We examined how contrasted climatic conditions influenced the ecological and phylogenetic diversity of tropical trees at the regional scale. Beyond the basic expectation of greater environmental filtering in currently stressful contexts, we addressed how biogeographic history and past climates contributed to shaping the distribution and diversity of extant taxa. Location Evergreen forests of Western Ghats, India. Methods We evaluated the relative importance of niche‐based, historical, and spatial processes on community phylogenetic structure and turnover in 297 plots including 459 species. If niche conservatism prevails, we expected greater phylogenetic clustering under harsher or historically less stable climates, and overdispersion in opposite conditions. To test the role of environmental filtering in shaping local communities, we assessed species’ climatic niches and congruence between niche and phylogenetic diversity. To assess the imprint of ancient versus recent evolutionary constraints, we calculated mean pair‐wise (MPD) and nearest‐taxon (MNTD) phylogenetic distances, respectively. Results We found non‐random phylogenetic structure depending on both current and past climatic variation. Basal community phylogenetic structure (MPD) was related to niche diversity and varied according to hydric stress: (a) northern environments filtered more closely related species, while (b) phylogenetic overdispersion suggested greater niche differentiation in stable, least‐seasonal southern habitats and at high elevations. Terminal phylogenetic structure (MNTD) did not show overdispersion. Phylogenetic turnover was driven by current abiotic factors, not space. Main conclusions The patterns of ecological and phylogenetic diversity likely reflect the Miocene climate shift to increasing seasonality northwards. Phylogenetic clustering under hydric stress or historical instability suggests the influence of functional conservatism, whereas overdispersion in southern forests supports the persistence of old lineages in an ancient rain forest refugium as an evolutionary museum. Overdispersion in fragmented montane forests reflects a mixture of biogeographically distinct species pools, both tropical and temperate, that characterise environmentally contrasted cores and fringes. Low phylogenetic turnover along the seasonality gradient suggests recent ecological diversification across forests with contrasted rainfall seasonality.
Ruksan Bose; Brahmasamudra Ranganna Ramesh; Raphaël Pélissier; François Munoz. Phylogenetic diversity in the Western Ghats biodiversity hotspot reflects environmental filtering and past niche diversification of trees. Journal of Biogeography 2018, 46, 145 -157.
AMA StyleRuksan Bose, Brahmasamudra Ranganna Ramesh, Raphaël Pélissier, François Munoz. Phylogenetic diversity in the Western Ghats biodiversity hotspot reflects environmental filtering and past niche diversification of trees. Journal of Biogeography. 2018; 46 (1):145-157.
Chicago/Turabian StyleRuksan Bose; Brahmasamudra Ranganna Ramesh; Raphaël Pélissier; François Munoz. 2018. "Phylogenetic diversity in the Western Ghats biodiversity hotspot reflects environmental filtering and past niche diversification of trees." Journal of Biogeography 46, no. 1: 145-157.
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.
Jean-François Bastin; Ervan Rutishauser; James R. Kellner; Sassan Saatchi; Raphaël Pélissier; Bruno Herault; Ferry Slik; Jan Bogaert; Charles De Cannière; Andrew R. Marshall; John Poulsen; Patricia Alvarez-Loyayza; Ana Andrade; Albert Angbonga-Basia; Alejandro Araujo-Murakami; Luzmila Arroyo; Narayanan Ayyappan; Celso Paulo De Azevedo; Olaf Bánki; Nicolas Barbier; Jorcely Barroso; Hans Beeckman; Robert Bitariho; Pascal Boeckx; Katrin Boehning-Gaese; Hilandia Brandão; Francis Q. Brearley; Mireille Breuer Ndoundou Hockemba; Roel Brienen; Jose Luis C. Camargo; Ahimsa Campos-Arceiz; Benoit Cassart; Jérôme Chave; Robin Chazdon; Georges Chuyong; David B. Clark; Connie J. Clark; Richard Condit; Eurídice Honorio Coronado; Priya Davidar; Thalès De Haulleville; Laurent Descroix; Jean-Louis Doucet; Aurélie Dourdain; Vincent Droissart; Thomas Duncan; Javier Silva Espejo; Santiago Espinosa; Nina Farwig; Adeline Fayolle; Ted R. Feldpausch; Antonio Ferraz; Christine Fletcher; Krisna Gajapersad; Jean-François Gillet; Iêda Leão Do Amaral; Christelle Gonmadje; James Grogan; David Harris; Sebastian K. Herzog; Jürgen Homeier; Wannes Hubau; Stephen P. Hubbell; Koen Hufkens; Johanna Hurtado; Narcisse G. Kamdem; Elizabeth Kearsley; David Kenfack; Michael Kessler; Nicolas Labrière; Yves Laumonier; Susan Laurance; William F. Laurance; Simon L. Lewis; Moses B. Libalah; Gauthier Ligot; Jon Lloyd; Thomas E. Lovejoy; Yadvinder Malhi; Beatriz Marimon; Ben Hur Marimon Junior; Emmanuel H. Martin; Paulus Matius; Victoria Meyer; Casimero Mendoza Bautista; Abel Monteagudo-Mendoza; Arafat Mtui; David Neill; Germaine Alexander Parada Gutierrez; Guido Pardo; Marc Parren; N. Parthasarathy; Oliver Phillips; Nigel C. A. Pitman; Pierre Ploton; Quentin Ponette; B. R. Ramesh; Jean-Claude Razafimahaimodison; Maxime Réjou-Méchain; Samir Gonçalves Rolim; Hugo Romero Saltos; Luiz Marcelo Brum Rossi; Wilson Roberto Spironello; Francesco Rovero; Philippe Saner; Denise Sasaki; Mark Schulze; Marcos Silveira; James Singh; Plinio Sist; Bonaventure Sonke; J. Daniel Soto; Cintia Rodrigues De Souza; Juliana Stropp; Martin Sullivan; Ben Swanepoel; Hans ter Steege; John Terborgh; Nicolas Texier; Takeshi Toma; Renato Valencia; Luis Valenzuela; Leandro Valle Ferreira; Fernando Cornejo Valverde; Tinde R. Van Andel; Rodolfo Vasque; Hans Verbeeck; Pandi Vivek; Jason Vleminckx; Vincent A. Vos; Fabien Hubert Wagner; Papi Puspa Warsudi; Verginia Wortel; Roderick J. Zagt; Donatien Zebaze. Pan-tropical prediction of forest structure from the largest trees. Global Ecology and Biogeography 2018, 27, 1366 -1383.
AMA StyleJean-François Bastin, Ervan Rutishauser, James R. Kellner, Sassan Saatchi, Raphaël Pélissier, Bruno Herault, Ferry Slik, Jan Bogaert, Charles De Cannière, Andrew R. Marshall, John Poulsen, Patricia Alvarez-Loyayza, Ana Andrade, Albert Angbonga-Basia, Alejandro Araujo-Murakami, Luzmila Arroyo, Narayanan Ayyappan, Celso Paulo De Azevedo, Olaf Bánki, Nicolas Barbier, Jorcely Barroso, Hans Beeckman, Robert Bitariho, Pascal Boeckx, Katrin Boehning-Gaese, Hilandia Brandão, Francis Q. Brearley, Mireille Breuer Ndoundou Hockemba, Roel Brienen, Jose Luis C. Camargo, Ahimsa Campos-Arceiz, Benoit Cassart, Jérôme Chave, Robin Chazdon, Georges Chuyong, David B. Clark, Connie J. Clark, Richard Condit, Eurídice Honorio Coronado, Priya Davidar, Thalès De Haulleville, Laurent Descroix, Jean-Louis Doucet, Aurélie Dourdain, Vincent Droissart, Thomas Duncan, Javier Silva Espejo, Santiago Espinosa, Nina Farwig, Adeline Fayolle, Ted R. Feldpausch, Antonio Ferraz, Christine Fletcher, Krisna Gajapersad, Jean-François Gillet, Iêda Leão Do Amaral, Christelle Gonmadje, James Grogan, David Harris, Sebastian K. Herzog, Jürgen Homeier, Wannes Hubau, Stephen P. Hubbell, Koen Hufkens, Johanna Hurtado, Narcisse G. Kamdem, Elizabeth Kearsley, David Kenfack, Michael Kessler, Nicolas Labrière, Yves Laumonier, Susan Laurance, William F. Laurance, Simon L. Lewis, Moses B. Libalah, Gauthier Ligot, Jon Lloyd, Thomas E. Lovejoy, Yadvinder Malhi, Beatriz Marimon, Ben Hur Marimon Junior, Emmanuel H. Martin, Paulus Matius, Victoria Meyer, Casimero Mendoza Bautista, Abel Monteagudo-Mendoza, Arafat Mtui, David Neill, Germaine Alexander Parada Gutierrez, Guido Pardo, Marc Parren, N. Parthasarathy, Oliver Phillips, Nigel C. A. Pitman, Pierre Ploton, Quentin Ponette, B. R. Ramesh, Jean-Claude Razafimahaimodison, Maxime Réjou-Méchain, Samir Gonçalves Rolim, Hugo Romero Saltos, Luiz Marcelo Brum Rossi, Wilson Roberto Spironello, Francesco Rovero, Philippe Saner, Denise Sasaki, Mark Schulze, Marcos Silveira, James Singh, Plinio Sist, Bonaventure Sonke, J. Daniel Soto, Cintia Rodrigues De Souza, Juliana Stropp, Martin Sullivan, Ben Swanepoel, Hans ter Steege, John Terborgh, Nicolas Texier, Takeshi Toma, Renato Valencia, Luis Valenzuela, Leandro Valle Ferreira, Fernando Cornejo Valverde, Tinde R. Van Andel, Rodolfo Vasque, Hans Verbeeck, Pandi Vivek, Jason Vleminckx, Vincent A. Vos, Fabien Hubert Wagner, Papi Puspa Warsudi, Verginia Wortel, Roderick J. Zagt, Donatien Zebaze. Pan-tropical prediction of forest structure from the largest trees. Global Ecology and Biogeography. 2018; 27 (11):1366-1383.
Chicago/Turabian StyleJean-François Bastin; Ervan Rutishauser; James R. Kellner; Sassan Saatchi; Raphaël Pélissier; Bruno Herault; Ferry Slik; Jan Bogaert; Charles De Cannière; Andrew R. Marshall; John Poulsen; Patricia Alvarez-Loyayza; Ana Andrade; Albert Angbonga-Basia; Alejandro Araujo-Murakami; Luzmila Arroyo; Narayanan Ayyappan; Celso Paulo De Azevedo; Olaf Bánki; Nicolas Barbier; Jorcely Barroso; Hans Beeckman; Robert Bitariho; Pascal Boeckx; Katrin Boehning-Gaese; Hilandia Brandão; Francis Q. Brearley; Mireille Breuer Ndoundou Hockemba; Roel Brienen; Jose Luis C. Camargo; Ahimsa Campos-Arceiz; Benoit Cassart; Jérôme Chave; Robin Chazdon; Georges Chuyong; David B. Clark; Connie J. Clark; Richard Condit; Eurídice Honorio Coronado; Priya Davidar; Thalès De Haulleville; Laurent Descroix; Jean-Louis Doucet; Aurélie Dourdain; Vincent Droissart; Thomas Duncan; Javier Silva Espejo; Santiago Espinosa; Nina Farwig; Adeline Fayolle; Ted R. Feldpausch; Antonio Ferraz; Christine Fletcher; Krisna Gajapersad; Jean-François Gillet; Iêda Leão Do Amaral; Christelle Gonmadje; James Grogan; David Harris; Sebastian K. Herzog; Jürgen Homeier; Wannes Hubau; Stephen P. Hubbell; Koen Hufkens; Johanna Hurtado; Narcisse G. Kamdem; Elizabeth Kearsley; David Kenfack; Michael Kessler; Nicolas Labrière; Yves Laumonier; Susan Laurance; William F. Laurance; Simon L. Lewis; Moses B. Libalah; Gauthier Ligot; Jon Lloyd; Thomas E. Lovejoy; Yadvinder Malhi; Beatriz Marimon; Ben Hur Marimon Junior; Emmanuel H. Martin; Paulus Matius; Victoria Meyer; Casimero Mendoza Bautista; Abel Monteagudo-Mendoza; Arafat Mtui; David Neill; Germaine Alexander Parada Gutierrez; Guido Pardo; Marc Parren; N. Parthasarathy; Oliver Phillips; Nigel C. A. Pitman; Pierre Ploton; Quentin Ponette; B. R. Ramesh; Jean-Claude Razafimahaimodison; Maxime Réjou-Méchain; Samir Gonçalves Rolim; Hugo Romero Saltos; Luiz Marcelo Brum Rossi; Wilson Roberto Spironello; Francesco Rovero; Philippe Saner; Denise Sasaki; Mark Schulze; Marcos Silveira; James Singh; Plinio Sist; Bonaventure Sonke; J. Daniel Soto; Cintia Rodrigues De Souza; Juliana Stropp; Martin Sullivan; Ben Swanepoel; Hans ter Steege; John Terborgh; Nicolas Texier; Takeshi Toma; Renato Valencia; Luis Valenzuela; Leandro Valle Ferreira; Fernando Cornejo Valverde; Tinde R. Van Andel; Rodolfo Vasque; Hans Verbeeck; Pandi Vivek; Jason Vleminckx; Vincent A. Vos; Fabien Hubert Wagner; Papi Puspa Warsudi; Verginia Wortel; Roderick J. Zagt; Donatien Zebaze. 2018. "Pan-tropical prediction of forest structure from the largest trees." Global Ecology and Biogeography 27, no. 11: 1366-1383.
Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community‐led open‐source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format .csv and .SQL.
Maria Dornelas; Laura H. Antão; Faye Moyes; Amanda E. Bates; Anne E. Magurran; Dušan Adam; Asem A. Akhmetzhanova; Ward Appeltans; José Manuel Arcos; Haley Arnold; Narayanan Ayyappan; Gal Badihi; Andrew H. Baird; Miguel Barbosa; Tiago Egydio Barreto; Claus Bässler; Alecia Bellgrove; Jonathan Belmaker; Lisandro Benedetti‐Cecchi; Brian J. Bett; Anne Bjorkman; Magdalena Błażewicz; Shane A. Blowes; Christopher P. Bloch; Timothy C. Bonebrake; Susan Boyd; Matt Bradford; Andrew J. Brooks; James H. Brown; Helge Bruelheide; Phaedra Budy; Fernando Carvalho; Edward Castañeda‐Moya; Chaolun Allen Chen; John F. Chamblee; Tory J. Chase; Laura Siegwart Collier; Sharon K. Collinge; Richard Condit; Elisabeth J. Cooper; J. Hans C. Cornelissen; Unai Cotano; Shannan Kyle Crow; Gabriella Damasceno; Claire Davies; Robert A. Davis; Frank P. Day; Steven Degraer; Tim S. Doherty; Timothy E. Dunn; Giselda Durigan; J. Emmett Duffy; Dor Edelist; Graham J. Edgar; Robin Elahi; Sarah Elmendorf; Anders Enemar; S. K. Morgan Ernest; Ruben Escribano; Marc Estiarte; Brian S. Evans; Tung‐Yung Fan; Fabiano Turini Farah; Luiz Loureiro Fernandes; Fábio Zanella Farneda; Alessandra Fidelis; Robert Fitt; Anna Maria Fosaa; Geraldo Antonio Daher Correa Franco; Grace E. Frank; William R. Fraser; Hernando García; Roberto Cazzolla Gatti; Or Givan; Elizabeth Gorgone‐Barbosa; William A. Gould; Corinna Gries; Gary D. Grossman; Julio R. Gutierréz; Stephen Hale; Mark E. Harmon; John Harte; Gary Haskins; Donald L. Henshaw; Luise Hermanutz; Pamela Hidalgo; Pedro Higuchi; Andrew Hoey; Gert Van Hoey; Annika Hofgaard; Kristen Holeck; Robert Hollister; Richard Holmes; Mia Hoogenboom; Chih‐Hao Hsieh; Stephen P. Hubbell; Falk Huettmann; Christine L. Huffard; Allen H. Hurlbert; Natalia Ivanauskas; David Janík; Ute Jandt; Anna Jazdzewska; Tore Johannessen; Jill Johnstone; Julia Jones; Faith A. M. Jones; Jungwon Kang; Tasrif Kartawijaya; Erin C. Keeley; Douglas A. Kelt; Rebecca Kinnear; Kari Klanderud; Halvor Knutsen; Christopher C. Koenig; Alessandra Kortz; Kamil Král; Linda A. Kuhnz; Chao‐Yang Kuo; David J. Kushner; Claire Laguionie‐Marchais; Lesley T. Lancaster; Cheol Min Lee; Jonathan Lefcheck; Esther Lévesque; David Lightfoot; Francisco Lloret; John Lloyd; Adrià López‐Baucells; Maite Louzao; Joshua S. Madin; Borgþór Magnússon; Shahar Malamud; Iain Matthews; Kent P. McFarland; Brian McGill; Diane McKnight; William O. McLarney; Jason Meador; Peter L. Meserve; Daniel J. Metcalfe; Christoph F. J. Meyer; Anders Michelsen; Nataliya Milchakova; Tom Moens; Even Moland; Jon Moore; Carolina Mathias Moreira; Jörg Müller; Grace Murphy; Isla H. Myers‐Smith; Randall W. Myster; Andrew Naumov; Francis Neat; James Nelson; Michael Paul Nelson; Stephen F. Newton; Natalia Norden; Jeffrey C. Oliver; Esben M. Olsen; Vladimir G. Onipchenko; Krzysztof Pabis; Robert J. Pabst; Alain Paquette; Sinta Pardede; David Paterson; Raphaël Pélissier; Josep Peñuelas; Alejandro Pérez‐Matus; Oscar Pizarro; Francesco Pomati; Eric Post; Herbert H. T. Prins; John C. Priscu; Pieter Provoost; Kathleen Prudic; Erkki Pulliainen; B. R. Ramesh; Olivia Mendivil Ramos; Andrew Rassweiler; Jose Eduardo Rebelo; Daniel C. Reed; Peter B. Reich; Suzanne M. Remillard; Anthony J. Richardson; J. Paul Richardson; Itai van Rijn; Ricardo Rocha; Victor H. Rivera‐Monroy; Christian Rixen; Kevin P. Robinson; Ricardo Ribeiro Rodrigues; Denise De Cerqueira Rossa‐Feres; Lars Rudstam; Henry Ruhl; Catalina S. Ruz; Erica M. Sampaio; Nancy Rybicki; Andrew Rypel; Sofia Sal; Beatriz Salgado; Flavio A. M. Santos; Ana Paula Savassi‐Coutinho; Sara Scanga; Jochen Schmidt; Robert Schooley; Fakhrizal Setiawan; Kwang‐Tsao Shao; Gaius R. Shaver; Sally Sherman; Thomas W. Sherry; Jacek Siciński; Caya Sievers; Ana Carolina da Silva; Fernando Rodrigues da Silva; Fabio L. Silveira; Jasper Slingsby; Tracey Smart; Sara J. Snell; Nadejda A. Soudzilovskaia; Gabriel Souza; Flaviana Maluf Souza; Vinicius Castro Souza; Christopher Stallings; Rowan Stanforth; Emily H. Stanley; José Mauro Sterza; Maarten Stevens; Rick Stuart‐Smith; Yzel Rondon Suarez; Sarah Supp; Jorge Yoshio Tamashiro; Sukmaraharja Tarigan; Gary P. Thiede; Simon Thorn; Anne Tolvanen; Maria Teresa Zugliani Toniato; Ørjan Totland; Robert R. Twilley; Gediminas Vaitkus; Nelson Valdivia; Martha Isabel Vallejo; Thomas J. Valone; Carl Van Colen; Jan Vanaverbeke; Fabio Venturoli; Hans M. Verheye; Marcelo Vianna; Rui Pedro Vieira; Tomáš Vrška; Con Quang Vu; Lien Van Vu; Robert B. Waide; Conor Waldock; David Watts; Sara Webb; Tomasz Wesołowski; Ethan P. White; Claire E. Widdicombe; Dustin Wilgers; Richard Williams; Stefan Williams; Mark Williamson; Michael R. Willig; Trevor J. Willis; Sonja Wipf; Kerry D. Woods; Eric J. Woehler; Kyle Zawada; Michael L. Zettler; Thomas Hickler. BioTIME: A database of biodiversity time series for the Anthropocene. Global Ecology and Biogeography 2018, 27, 760 -786.
AMA StyleMaria Dornelas, Laura H. Antão, Faye Moyes, Amanda E. Bates, Anne E. Magurran, Dušan Adam, Asem A. Akhmetzhanova, Ward Appeltans, José Manuel Arcos, Haley Arnold, Narayanan Ayyappan, Gal Badihi, Andrew H. Baird, Miguel Barbosa, Tiago Egydio Barreto, Claus Bässler, Alecia Bellgrove, Jonathan Belmaker, Lisandro Benedetti‐Cecchi, Brian J. Bett, Anne Bjorkman, Magdalena Błażewicz, Shane A. Blowes, Christopher P. Bloch, Timothy C. Bonebrake, Susan Boyd, Matt Bradford, Andrew J. Brooks, James H. Brown, Helge Bruelheide, Phaedra Budy, Fernando Carvalho, Edward Castañeda‐Moya, Chaolun Allen Chen, John F. Chamblee, Tory J. Chase, Laura Siegwart Collier, Sharon K. Collinge, Richard Condit, Elisabeth J. Cooper, J. Hans C. Cornelissen, Unai Cotano, Shannan Kyle Crow, Gabriella Damasceno, Claire Davies, Robert A. Davis, Frank P. Day, Steven Degraer, Tim S. Doherty, Timothy E. Dunn, Giselda Durigan, J. Emmett Duffy, Dor Edelist, Graham J. Edgar, Robin Elahi, Sarah Elmendorf, Anders Enemar, S. K. Morgan Ernest, Ruben Escribano, Marc Estiarte, Brian S. Evans, Tung‐Yung Fan, Fabiano Turini Farah, Luiz Loureiro Fernandes, Fábio Zanella Farneda, Alessandra Fidelis, Robert Fitt, Anna Maria Fosaa, Geraldo Antonio Daher Correa Franco, Grace E. Frank, William R. Fraser, Hernando García, Roberto Cazzolla Gatti, Or Givan, Elizabeth Gorgone‐Barbosa, William A. Gould, Corinna Gries, Gary D. Grossman, Julio R. Gutierréz, Stephen Hale, Mark E. Harmon, John Harte, Gary Haskins, Donald L. Henshaw, Luise Hermanutz, Pamela Hidalgo, Pedro Higuchi, Andrew Hoey, Gert Van Hoey, Annika Hofgaard, Kristen Holeck, Robert Hollister, Richard Holmes, Mia Hoogenboom, Chih‐Hao Hsieh, Stephen P. Hubbell, Falk Huettmann, Christine L. Huffard, Allen H. Hurlbert, Natalia Ivanauskas, David Janík, Ute Jandt, Anna Jazdzewska, Tore Johannessen, Jill Johnstone, Julia Jones, Faith A. M. Jones, Jungwon Kang, Tasrif Kartawijaya, Erin C. Keeley, Douglas A. Kelt, Rebecca Kinnear, Kari Klanderud, Halvor Knutsen, Christopher C. Koenig, Alessandra Kortz, Kamil Král, Linda A. Kuhnz, Chao‐Yang Kuo, David J. Kushner, Claire Laguionie‐Marchais, Lesley T. Lancaster, Cheol Min Lee, Jonathan Lefcheck, Esther Lévesque, David Lightfoot, Francisco Lloret, John Lloyd, Adrià López‐Baucells, Maite Louzao, Joshua S. Madin, Borgþór Magnússon, Shahar Malamud, Iain Matthews, Kent P. McFarland, Brian McGill, Diane McKnight, William O. McLarney, Jason Meador, Peter L. Meserve, Daniel J. Metcalfe, Christoph F. J. Meyer, Anders Michelsen, Nataliya Milchakova, Tom Moens, Even Moland, Jon Moore, Carolina Mathias Moreira, Jörg Müller, Grace Murphy, Isla H. Myers‐Smith, Randall W. Myster, Andrew Naumov, Francis Neat, James Nelson, Michael Paul Nelson, Stephen F. Newton, Natalia Norden, Jeffrey C. Oliver, Esben M. Olsen, Vladimir G. Onipchenko, Krzysztof Pabis, Robert J. Pabst, Alain Paquette, Sinta Pardede, David Paterson, Raphaël Pélissier, Josep Peñuelas, Alejandro Pérez‐Matus, Oscar Pizarro, Francesco Pomati, Eric Post, Herbert H. T. Prins, John C. Priscu, Pieter Provoost, Kathleen Prudic, Erkki Pulliainen, B. R. Ramesh, Olivia Mendivil Ramos, Andrew Rassweiler, Jose Eduardo Rebelo, Daniel C. Reed, Peter B. Reich, Suzanne M. Remillard, Anthony J. Richardson, J. Paul Richardson, Itai van Rijn, Ricardo Rocha, Victor H. Rivera‐Monroy, Christian Rixen, Kevin P. Robinson, Ricardo Ribeiro Rodrigues, Denise De Cerqueira Rossa‐Feres, Lars Rudstam, Henry Ruhl, Catalina S. Ruz, Erica M. Sampaio, Nancy Rybicki, Andrew Rypel, Sofia Sal, Beatriz Salgado, Flavio A. M. Santos, Ana Paula Savassi‐Coutinho, Sara Scanga, Jochen Schmidt, Robert Schooley, Fakhrizal Setiawan, Kwang‐Tsao Shao, Gaius R. Shaver, Sally Sherman, Thomas W. Sherry, Jacek Siciński, Caya Sievers, Ana Carolina da Silva, Fernando Rodrigues da Silva, Fabio L. Silveira, Jasper Slingsby, Tracey Smart, Sara J. Snell, Nadejda A. Soudzilovskaia, Gabriel Souza, Flaviana Maluf Souza, Vinicius Castro Souza, Christopher Stallings, Rowan Stanforth, Emily H. Stanley, José Mauro Sterza, Maarten Stevens, Rick Stuart‐Smith, Yzel Rondon Suarez, Sarah Supp, Jorge Yoshio Tamashiro, Sukmaraharja Tarigan, Gary P. Thiede, Simon Thorn, Anne Tolvanen, Maria Teresa Zugliani Toniato, Ørjan Totland, Robert R. Twilley, Gediminas Vaitkus, Nelson Valdivia, Martha Isabel Vallejo, Thomas J. Valone, Carl Van Colen, Jan Vanaverbeke, Fabio Venturoli, Hans M. Verheye, Marcelo Vianna, Rui Pedro Vieira, Tomáš Vrška, Con Quang Vu, Lien Van Vu, Robert B. Waide, Conor Waldock, David Watts, Sara Webb, Tomasz Wesołowski, Ethan P. White, Claire E. Widdicombe, Dustin Wilgers, Richard Williams, Stefan Williams, Mark Williamson, Michael R. Willig, Trevor J. Willis, Sonja Wipf, Kerry D. Woods, Eric J. Woehler, Kyle Zawada, Michael L. Zettler, Thomas Hickler. BioTIME: A database of biodiversity time series for the Anthropocene. Global Ecology and Biogeography. 2018; 27 (7):760-786.
Chicago/Turabian StyleMaria Dornelas; Laura H. Antão; Faye Moyes; Amanda E. Bates; Anne E. Magurran; Dušan Adam; Asem A. Akhmetzhanova; Ward Appeltans; José Manuel Arcos; Haley Arnold; Narayanan Ayyappan; Gal Badihi; Andrew H. Baird; Miguel Barbosa; Tiago Egydio Barreto; Claus Bässler; Alecia Bellgrove; Jonathan Belmaker; Lisandro Benedetti‐Cecchi; Brian J. Bett; Anne Bjorkman; Magdalena Błażewicz; Shane A. Blowes; Christopher P. Bloch; Timothy C. Bonebrake; Susan Boyd; Matt Bradford; Andrew J. Brooks; James H. Brown; Helge Bruelheide; Phaedra Budy; Fernando Carvalho; Edward Castañeda‐Moya; Chaolun Allen Chen; John F. Chamblee; Tory J. Chase; Laura Siegwart Collier; Sharon K. Collinge; Richard Condit; Elisabeth J. Cooper; J. Hans C. Cornelissen; Unai Cotano; Shannan Kyle Crow; Gabriella Damasceno; Claire Davies; Robert A. Davis; Frank P. Day; Steven Degraer; Tim S. Doherty; Timothy E. Dunn; Giselda Durigan; J. Emmett Duffy; Dor Edelist; Graham J. Edgar; Robin Elahi; Sarah Elmendorf; Anders Enemar; S. K. Morgan Ernest; Ruben Escribano; Marc Estiarte; Brian S. Evans; Tung‐Yung Fan; Fabiano Turini Farah; Luiz Loureiro Fernandes; Fábio Zanella Farneda; Alessandra Fidelis; Robert Fitt; Anna Maria Fosaa; Geraldo Antonio Daher Correa Franco; Grace E. Frank; William R. Fraser; Hernando García; Roberto Cazzolla Gatti; Or Givan; Elizabeth Gorgone‐Barbosa; William A. Gould; Corinna Gries; Gary D. Grossman; Julio R. Gutierréz; Stephen Hale; Mark E. Harmon; John Harte; Gary Haskins; Donald L. Henshaw; Luise Hermanutz; Pamela Hidalgo; Pedro Higuchi; Andrew Hoey; Gert Van Hoey; Annika Hofgaard; Kristen Holeck; Robert Hollister; Richard Holmes; Mia Hoogenboom; Chih‐Hao Hsieh; Stephen P. Hubbell; Falk Huettmann; Christine L. Huffard; Allen H. Hurlbert; Natalia Ivanauskas; David Janík; Ute Jandt; Anna Jazdzewska; Tore Johannessen; Jill Johnstone; Julia Jones; Faith A. M. Jones; Jungwon Kang; Tasrif Kartawijaya; Erin C. Keeley; Douglas A. Kelt; Rebecca Kinnear; Kari Klanderud; Halvor Knutsen; Christopher C. Koenig; Alessandra Kortz; Kamil Král; Linda A. Kuhnz; Chao‐Yang Kuo; David J. Kushner; Claire Laguionie‐Marchais; Lesley T. Lancaster; Cheol Min Lee; Jonathan Lefcheck; Esther Lévesque; David Lightfoot; Francisco Lloret; John Lloyd; Adrià López‐Baucells; Maite Louzao; Joshua S. Madin; Borgþór Magnússon; Shahar Malamud; Iain Matthews; Kent P. McFarland; Brian McGill; Diane McKnight; William O. McLarney; Jason Meador; Peter L. Meserve; Daniel J. Metcalfe; Christoph F. J. Meyer; Anders Michelsen; Nataliya Milchakova; Tom Moens; Even Moland; Jon Moore; Carolina Mathias Moreira; Jörg Müller; Grace Murphy; Isla H. Myers‐Smith; Randall W. Myster; Andrew Naumov; Francis Neat; James Nelson; Michael Paul Nelson; Stephen F. Newton; Natalia Norden; Jeffrey C. Oliver; Esben M. Olsen; Vladimir G. Onipchenko; Krzysztof Pabis; Robert J. Pabst; Alain Paquette; Sinta Pardede; David Paterson; Raphaël Pélissier; Josep Peñuelas; Alejandro Pérez‐Matus; Oscar Pizarro; Francesco Pomati; Eric Post; Herbert H. T. Prins; John C. Priscu; Pieter Provoost; Kathleen Prudic; Erkki Pulliainen; B. R. Ramesh; Olivia Mendivil Ramos; Andrew Rassweiler; Jose Eduardo Rebelo; Daniel C. Reed; Peter B. Reich; Suzanne M. Remillard; Anthony J. Richardson; J. Paul Richardson; Itai van Rijn; Ricardo Rocha; Victor H. Rivera‐Monroy; Christian Rixen; Kevin P. Robinson; Ricardo Ribeiro Rodrigues; Denise De Cerqueira Rossa‐Feres; Lars Rudstam; Henry Ruhl; Catalina S. Ruz; Erica M. Sampaio; Nancy Rybicki; Andrew Rypel; Sofia Sal; Beatriz Salgado; Flavio A. M. Santos; Ana Paula Savassi‐Coutinho; Sara Scanga; Jochen Schmidt; Robert Schooley; Fakhrizal Setiawan; Kwang‐Tsao Shao; Gaius R. Shaver; Sally Sherman; Thomas W. Sherry; Jacek Siciński; Caya Sievers; Ana Carolina da Silva; Fernando Rodrigues da Silva; Fabio L. Silveira; Jasper Slingsby; Tracey Smart; Sara J. Snell; Nadejda A. Soudzilovskaia; Gabriel Souza; Flaviana Maluf Souza; Vinicius Castro Souza; Christopher Stallings; Rowan Stanforth; Emily H. Stanley; José Mauro Sterza; Maarten Stevens; Rick Stuart‐Smith; Yzel Rondon Suarez; Sarah Supp; Jorge Yoshio Tamashiro; Sukmaraharja Tarigan; Gary P. Thiede; Simon Thorn; Anne Tolvanen; Maria Teresa Zugliani Toniato; Ørjan Totland; Robert R. Twilley; Gediminas Vaitkus; Nelson Valdivia; Martha Isabel Vallejo; Thomas J. Valone; Carl Van Colen; Jan Vanaverbeke; Fabio Venturoli; Hans M. Verheye; Marcelo Vianna; Rui Pedro Vieira; Tomáš Vrška; Con Quang Vu; Lien Van Vu; Robert B. Waide; Conor Waldock; David Watts; Sara Webb; Tomasz Wesołowski; Ethan P. White; Claire E. Widdicombe; Dustin Wilgers; Richard Williams; Stefan Williams; Mark Williamson; Michael R. Willig; Trevor J. Willis; Sonja Wipf; Kerry D. Woods; Eric J. Woehler; Kyle Zawada; Michael L. Zettler; Thomas Hickler. 2018. "BioTIME: A database of biodiversity time series for the Anthropocene." Global Ecology and Biogeography 27, no. 7: 760-786.
A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.
Stéphane Guitet; Daniel Sabatier; Olivier Brunaux; Pierre Couteron; Thomas Denis; Vincent Freycon; Sophie Gonzalez; Bruno Herault; Gaëlle Jaouen; Jean-François Molino; Raphaël Pélissier; Cécile Richard-Hansen; Gregoire Vincent. Author Correction: Disturbance Regimes Drive The Diversity of Regional Floristic Pools Across Guianan Rainforest Landscapes. Scientific Reports 2018, 8, 6125 .
AMA StyleStéphane Guitet, Daniel Sabatier, Olivier Brunaux, Pierre Couteron, Thomas Denis, Vincent Freycon, Sophie Gonzalez, Bruno Herault, Gaëlle Jaouen, Jean-François Molino, Raphaël Pélissier, Cécile Richard-Hansen, Gregoire Vincent. Author Correction: Disturbance Regimes Drive The Diversity of Regional Floristic Pools Across Guianan Rainforest Landscapes. Scientific Reports. 2018; 8 (1):6125.
Chicago/Turabian StyleStéphane Guitet; Daniel Sabatier; Olivier Brunaux; Pierre Couteron; Thomas Denis; Vincent Freycon; Sophie Gonzalez; Bruno Herault; Gaëlle Jaouen; Jean-François Molino; Raphaël Pélissier; Cécile Richard-Hansen; Gregoire Vincent. 2018. "Author Correction: Disturbance Regimes Drive The Diversity of Regional Floristic Pools Across Guianan Rainforest Landscapes." Scientific Reports 8, no. 1: 6125.
Disturbances control rainforest dynamics, and, according to the intermediate disturbance hypothesis (IDH), disturbance regime is a key driver of local diversity. Variations in disturbance regimes and their consequences on regional diversity at broad spatiotemporal scales are still poorly understood. Using multidisciplinary large-scale inventories and LiDAR acquisitions, we developed a robust indicator of disturbance regimes based on the frequency of a few early successional and widely distributed pioneer species. We demonstrate at the landscape scale that tree-species diversity and disturbance regimes vary with climate and relief. Significant relationships between the disturbance indicator, tree-species diversity and soil phosphorus content agree with the hypothesis that rainforest diversity is controlled both by disturbance regimes and long-term ecosystem stability. These effects explain the broad-scale patterns of floristic diversity observed between landscapes. In fact, species-rich forests in highlands, which have benefited from long-term stability combined with a moderate and regular regime of local disturbances, contrast with less diversified forests on recently shaped lowlands, which have undergone more recent changes and irregular dynamics. These results suggest that taking the current disturbance regime into account and including geomorphological stratifications in climate-vegetation models may be an effective way to improve the prediction of changes in species diversity under climate change.
Stéphane Guitet; Daniel Sabatier; Olivier Brunaux; Pierre Couteron; Thomas Denis; Vincent Freycon; Sophie Gonzalez; Bruno Herault; Gaëlle Jaouen; Jean-François Molino; Raphaël Pélissier; Cecile Richard-Hansen; Grégoire Vincent. Disturbance Regimes Drive The Diversity of Regional Floristic Pools Across Guianan Rainforest Landscapes. Scientific Reports 2018, 8, 1 -12.
AMA StyleStéphane Guitet, Daniel Sabatier, Olivier Brunaux, Pierre Couteron, Thomas Denis, Vincent Freycon, Sophie Gonzalez, Bruno Herault, Gaëlle Jaouen, Jean-François Molino, Raphaël Pélissier, Cecile Richard-Hansen, Grégoire Vincent. Disturbance Regimes Drive The Diversity of Regional Floristic Pools Across Guianan Rainforest Landscapes. Scientific Reports. 2018; 8 (1):1-12.
Chicago/Turabian StyleStéphane Guitet; Daniel Sabatier; Olivier Brunaux; Pierre Couteron; Thomas Denis; Vincent Freycon; Sophie Gonzalez; Bruno Herault; Gaëlle Jaouen; Jean-François Molino; Raphaël Pélissier; Cecile Richard-Hansen; Grégoire Vincent. 2018. "Disturbance Regimes Drive The Diversity of Regional Floristic Pools Across Guianan Rainforest Landscapes." Scientific Reports 8, no. 1: 1-12.
Calibration of local, regional or global allometric equations to estimate biomass at the tree level constitutes a significant burden on projects aiming at reducing Carbon emissions from forest degradation and deforestation. The objective of this contribution is to assess the precision and accuracy of Terrestrial Laser Scanning (TLS) for estimating volumes and above‐ground biomass (AGB) of the woody parts of tropical trees, and for the calibration of allometric models. We used a destructive dataset of 61 trees, with diameters and AGB of up to 186.6 cm and 60 Mg respectively, which were scanned, felled and weighed in the semi‐deciduous forests of eastern Cameroon. We present an operational approach based on available software allowing the retrieving of TLS volume with low bias and high accuracy for large tropical trees. Edition of the obtained models proved necessary, mainly to account for the complexity of buttressed parts of tree trunks, which were separately modelled through a meshing approach, and to bring a few corrections in the topology and geometry of branches, thanks to the amapstudio‐scan software. Over the entire dataset, TLS‐derived volumes proved highly reliable for branches larger than 5 cm in diameter. The volumes of the remaining woody parts estimated for stumps, stems and crowns as well as for the whole tree proved very accurate (RMSE below 2.81% and R² above of .98) and unbiased. Once converted into AGB using mean local‐specific wood density values, TLS estimates allowed calibrating a biomass allometric model with coefficients statistically undistinguishable from those of a model based on destructive data. The Unedited Quantitative Structure Model (QSM) however leads to systematic overestimations of woody volumes and subsequently to significantly different allometric parameters. We can therefore conclude that a non‐destructive TLS approach can now be used as an operational alternative to traditional destructive sampling to build the allometric equations, although attention must be paid to the quality of QSM model adjustments to avoid systematic bias.
Stéphane Momo Takoudjou; Pierre Ploton; Bonaventure Sonké; Jan Hackenberg; Sébastien Griffon; Francois De Coligny; Narcisse Guy Kamdem; Moses Libalah; Gislain Ii Mofack; Gilles Le Moguédec; Raphaël Pélissier; Nicolas Barbier. Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach. Methods in Ecology and Evolution 2017, 9, 905 -916.
AMA StyleStéphane Momo Takoudjou, Pierre Ploton, Bonaventure Sonké, Jan Hackenberg, Sébastien Griffon, Francois De Coligny, Narcisse Guy Kamdem, Moses Libalah, Gislain Ii Mofack, Gilles Le Moguédec, Raphaël Pélissier, Nicolas Barbier. Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach. Methods in Ecology and Evolution. 2017; 9 (4):905-916.
Chicago/Turabian StyleStéphane Momo Takoudjou; Pierre Ploton; Bonaventure Sonké; Jan Hackenberg; Sébastien Griffon; Francois De Coligny; Narcisse Guy Kamdem; Moses Libalah; Gislain Ii Mofack; Gilles Le Moguédec; Raphaël Pélissier; Nicolas Barbier. 2017. "Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach." Methods in Ecology and Evolution 9, no. 4: 905-916.
Very high spatial resolution (VHSR) optical satellite imagery has shown good potential to provide non-saturating proxies of tropical forest aboveground biomass (AGB) from the analysis of canopy texture, for instance through the Fourier Transform Textural Ordination method. Empirical case studies however showed that the relationship between Fourier texture features and forest AGB varies across forest types and regions of the world, limiting model transferability. A better understanding of the biophysical mechanisms on which canopy texture – forest AGB relation relies is a prerequisite to move toward broad scale applications. Here we simulated VHSR optical canopy scenes in identical sun-sensor geometry for 279 1-ha tropical forest inventory plots distributed across the tropics. Our aim was to assess the respective merits and complementarity of two types of texture analysis techniques (i.e. Fourier and lacunarity) on a set of forests with contrasted structure and geographical origin, and develop a general texture-based approach for tropical forest AGB mapping. Across forests, Fourier texture captured a gradient of stands mean crown size reflecting well the progressive changes in stand structure throughout forest aggradation phase (e.g. Pearson's r = − 0.42 with basal area) while lacunarity texture captured a gradient of canopy openness (, i.e. Pearson's r = − 0.57 with stand gap fraction). Both types of texture indices were highly complementary for predicting forest AGB at the global level (so-called FL-model). The residual error of the FL-model was structured across sites and could be partially captured with a bioclimatic proxy, further improving the performance of the global model (so-called FLE-model) and reducing site-level biases. The FLE model was tested on a set of real Pleiades images covering a mosaic of high-biomass forests in the Congo basin (mean AGB over 49 field plots: 359 ± 98 Mg ha− 1), leading to a significant relationship (R2 = 0.47 on validation data) with reasonable error levels (< 25% rRMSE). The increasing availability of VHSR optical sensors (such as from constellations of small satellite platforms) raises the possibility of routine repeated imaging of the world's tropical forests and suggests that texture-based analyses could become an essential tool in international efforts to monitor carbon emissions from deforestation and forest degradations (REDD +).SCOPUS: ar.jinfo:eu-repo/semantics/publishe
Pierre Ploton; N. Barbier; P. Couteron; C.M. Antin; N. Ayyappan; N. Balachandran; N. Barathan; J.-F. Bastin; G. Chuyong; G. Dauby; Vincent Droissart; Jean Philippe Gastellu-Etchegorry; N.G. Kamdem; David Kenfack; M. Libalah; Gislain Ii Mofack; S.T. Momo; S. Pargal; P. Petronelli; C. Proisy; M. Réjou-Méchain; B. Sonké; N. Texier; D. Thomas; P. Verley; D. Zebaze Dongmo; U. Berger; Raphaël Pélissier. Toward a general tropical forest biomass prediction model from very high resolution optical satellite images. Remote Sensing of Environment 2017, 200, 140 -153.
AMA StylePierre Ploton, N. Barbier, P. Couteron, C.M. Antin, N. Ayyappan, N. Balachandran, N. Barathan, J.-F. Bastin, G. Chuyong, G. Dauby, Vincent Droissart, Jean Philippe Gastellu-Etchegorry, N.G. Kamdem, David Kenfack, M. Libalah, Gislain Ii Mofack, S.T. Momo, S. Pargal, P. Petronelli, C. Proisy, M. Réjou-Méchain, B. Sonké, N. Texier, D. Thomas, P. Verley, D. Zebaze Dongmo, U. Berger, Raphaël Pélissier. Toward a general tropical forest biomass prediction model from very high resolution optical satellite images. Remote Sensing of Environment. 2017; 200 ():140-153.
Chicago/Turabian StylePierre Ploton; N. Barbier; P. Couteron; C.M. Antin; N. Ayyappan; N. Balachandran; N. Barathan; J.-F. Bastin; G. Chuyong; G. Dauby; Vincent Droissart; Jean Philippe Gastellu-Etchegorry; N.G. Kamdem; David Kenfack; M. Libalah; Gislain Ii Mofack; S.T. Momo; S. Pargal; P. Petronelli; C. Proisy; M. Réjou-Méchain; B. Sonké; N. Texier; D. Thomas; P. Verley; D. Zebaze Dongmo; U. Berger; Raphaël Pélissier. 2017. "Toward a general tropical forest biomass prediction model from very high resolution optical satellite images." Remote Sensing of Environment 200, no. : 140-153.
Large scale assessment of aboveground biomass (AGB) in tropical forests is often limited by the saturation of remote sensing signals at high AGB values. Fourier Transform Textural Ordination (FOTO) performs well in quantifying canopy texture from very high-resolution (VHR) imagery, from which stand structure parameters can be retrieved with no saturation effect for AGB values up to 650 Mg·ha−1. The method is robust when tested on wet evergreen forests but is more demanding when applied across different forest types characterized by varying structures and allometries. The present study focuses on a gradient of forest types ranging from dry deciduous to wet evergreen forests in the Western Ghats (WG) of India, where we applied FOTO to Cartosat-1a images with 2.5 m resolution. Based on 21 1-ha ground control forest plots, we calibrated independent texture–AGB models for the dry and wet zone forests in the area, as delineated from the distribution of NDVI values computed from LISS-4 multispectral images. This stratification largely improved the relationship between texture-derived and field-derived AGB estimates, which exhibited a R2 of 0.82 for a mean rRMSE of ca. 17%. By inverting the texture–AGB models, we finally mapped AGB predictions at 1.6-ha resolution over a heterogeneous landscape of ca. 1500 km2 in the WG, with a mean relative per-pixel propagated error <20% for wet zone forests, i.e., below the recommended IPCC criteria for Monitoring, Reporting and Verification (MRV) methods. The method proved to perform well in predicting high-resolution AGB values over heterogeneous tropical landscape encompassing diversified forest types, and thus presents a promising option for affordable regional monitoring systems of greenhouse gas (GhG) emissions related to forest degradation.
Sourabh Pargal; Rakesh Fararoda; Gopalakrishnan Rajashekar; Natesan Balachandran; Maxime Réjou-Méchain; Nicolas Barbier; Chandra Shekhar Jha; Raphaël Pélissier; Vinay Kumar Dadhwal; Pierre Couteron. Inverting Aboveground Biomass–Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery. Remote Sensing 2017, 9, 228 .
AMA StyleSourabh Pargal, Rakesh Fararoda, Gopalakrishnan Rajashekar, Natesan Balachandran, Maxime Réjou-Méchain, Nicolas Barbier, Chandra Shekhar Jha, Raphaël Pélissier, Vinay Kumar Dadhwal, Pierre Couteron. Inverting Aboveground Biomass–Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery. Remote Sensing. 2017; 9 (3):228.
Chicago/Turabian StyleSourabh Pargal; Rakesh Fararoda; Gopalakrishnan Rajashekar; Natesan Balachandran; Maxime Réjou-Méchain; Nicolas Barbier; Chandra Shekhar Jha; Raphaël Pélissier; Vinay Kumar Dadhwal; Pierre Couteron. 2017. "Inverting Aboveground Biomass–Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery." Remote Sensing 9, no. 3: 228.