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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 Belgium, United Kingdom, United Kingdom, United Kingdom, Brazil, France, United Kingdom, Netherlands, Italy, France, Australia, United Kingdom, Netherlands, Netherlands, France, Netherlands, France, United Kingdom, Brazil, United Kingdom, United Kingdom, France, United KingdomPublisher:Wiley Funded by:UKRI | BIOmes of Brasil - Resili..., UKRI | TREMOR: Mechanisms and co..., EC | AMAZALERT +2 projectsUKRI| BIOmes of Brasil - Resilience, rEcovery, and Diversity: BIO-RED ,UKRI| TREMOR: Mechanisms and consequences of increasing TREe MORtality in Amazonian rainforests ,EC| AMAZALERT ,UKRI| Tropical Biomes in Transition ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICAPaulo S. Morandi; Juliana Stropp; Hirma Ramírez-Angulo; José Luís Camargo; Nigel C. A. Pitman; Adriana Prieto; Edmar Almeida de Oliveira; Thomas E. Lovejoy; Simone Aparecida Vieira; Eliana Jimenez-Rojas; Fernando Elias; Abel Monteagudo-Mendoza; Everton Cristo de Almeida; Damien Bonal; Ima Célia Guimarães Vieira; Antonio Carlos Lola da Costa; Luzmila Arroyo; Victor Chama Moscoso; Oliver L. Phillips; John Terborgh; Julien Engel; Julien Engel; Rodolfo Vásquez Martínez; Ana Andrade; Martin J. P. Sullivan; Javier Silva Espejo; Roel J. W. Brienen; James A. Comiskey; Gabriela Lopez-Gonzalez; Rafael Herrera Fernández; Rafael Herrera Fernández; Alexander Parada Gutierrez; Eurídice N. Honorio Coronado; Marielos Peña-Claros; Jos Barlow; Jos Barlow; Susan G. Laurance; Peter van der Hout; Omar Aurelio Melo Cruz; Pieter A. Zuidema; Vincent A. Vos; Peter J. van de Meer; Beatriz Schwantes Marimon; Nallaret Davila Cardozo; William F. Laurance; Frans Bongers; Jon Lloyd; Simon L. Lewis; Simon L. Lewis; Jorcely Barroso; Pascal Petronelli; Zorayda Restrepo Correa; Luisa Fernanda Duque; Terry L. Erwin; Ben Hur Marimon-Junior; Gerardo A. Aymard C; Eric Arets; Esteban Álvarez-Dávila; Lourens Poorter; Maria Cristina Peñuela-Mora; Yadvinder Malhi; Guido Pardo; Rafael de Paiva Salomão; Clément Stahl; Jhon del Aguila Pasquel; Jhon del Aguila Pasquel; Ted R. Feldpausch; Jérôme Chave; Alejandro Araujo-Murakami; Georgia Pickavance; Natalino Silva; Geertje M. F. van der Heijden; Ricardo Keichi Umetsu; René G. A. Boot; David A. Neill; Timothy R. Baker; Kyle G. Dexter; Raquel Thomas; Plínio Barbosa de Camargo; David W. Galbraith; Percy Núñez Vargas; Marcos Silveira; Lan Qie; Carlos A. Quesada; Christopher Baraloto; Wannes Hubau; Anand Roopsind; Bruno Hérault; Luis Valenzuela Gamarra; César I.A. Vela; James Singh; Armando Torres-Lezama; Marisol Toledo; Wendeson Castro; Agustín Rudas; Julie Peacock; Emilio Vilanova; Emilio Vilanova; Anthony Di Fiore; Hans ter Steege; Hans ter Steege; Adriane Esquivel-Muelbert; Maxime Réjou-Méchain; Gerardo Flores Llampazo; Luiz E. O. C. Aragão; Luiz E. O. C. Aragão; Sophie Fauset; Niro Higuchi; Fernando Cornejo Valverde; Nadir Pallqui Camacho; Adriano José Nogueira Lima; Emanuel Gloor;AbstractMost of the planet's diversity is concentrated in the tropics, which includes many regions undergoing rapid climate change. Yet, while climate‐induced biodiversity changes are widely documented elsewhere, few studies have addressed this issue for lowland tropical ecosystems. Here we investigate whether the floristic and functional composition of intact lowland Amazonian forests have been changing by evaluating records from 106 long‐term inventory plots spanning 30 years. We analyse three traits that have been hypothesized to respond to different environmental drivers (increase in moisture stress and atmospheric CO2 concentrations): maximum tree size, biogeographic water‐deficit affiliation and wood density. Tree communities have become increasingly dominated by large‐statured taxa, but to date there has been no detectable change in mean wood density or water deficit affiliation at the community level, despite most forest plots having experienced an intensification of the dry season. However, among newly recruited trees, dry‐affiliated genera have become more abundant, while the mortality of wet‐affiliated genera has increased in those plots where the dry season has intensified most. Thus, a slow shift to a more dry‐affiliated Amazonia is underway, with changes in compositional dynamics (recruits and mortality) consistent with climate‐change drivers, but yet to significantly impact whole‐community composition. The Amazon observational record suggests that the increase in atmospheric CO2 is driving a shift within tree communities to large‐statured species and that climate changes to date will impact forest composition, but long generation times of tropical trees mean that biodiversity change is lagging behind climate change.
CORE arrow_drop_down COREArticle . 2019License: CC BYFull-Text: https://eprints.whiterose.ac.uk/134575/9/Esquivel-Muelbert_et_al-2019-Global_Change_Biology.pdfData sources: COREWhite Rose Research OnlineArticle . 2018License: CC BYFull-Text: http://eprints.whiterose.ac.uk/134575/9/Esquivel-Muelbert_et_al-2019-Global_Change_Biology.pdfData sources: CORE (RIOXX-UK Aggregator)CIRAD: HAL (Agricultural Research for Development)Article . 2019Full-Text: https://hal.umontpellier.fr/hal-02052715Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2019Full-Text: https://doi.org/10.1111/gcb.14413Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10044/1/65452Data sources: Bielefeld Academic Search Engine (BASE)Repositório do INPAArticle . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2021License: CC BYFull-Text: https://hdl.handle.net/10023/24448Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: https://www.ncbi.nlm.nih.gov/pubmed/30406962Data sources: Bielefeld Academic Search Engine (BASE)University of Lincoln: Lincoln RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2018 . Peer-reviewedData sources: St Andrews Research RepositoryInstitut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019Ghent University Academic BibliographyArticle . 2019Data sources: Ghent University Academic BibliographyLancaster University: Lancaster EprintsArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.14413&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 331 citations 331 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2019License: CC BYFull-Text: https://eprints.whiterose.ac.uk/134575/9/Esquivel-Muelbert_et_al-2019-Global_Change_Biology.pdfData sources: COREWhite Rose Research OnlineArticle . 2018License: CC BYFull-Text: http://eprints.whiterose.ac.uk/134575/9/Esquivel-Muelbert_et_al-2019-Global_Change_Biology.pdfData sources: CORE (RIOXX-UK Aggregator)CIRAD: HAL (Agricultural Research for Development)Article . 2019Full-Text: https://hal.umontpellier.fr/hal-02052715Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2019Full-Text: https://doi.org/10.1111/gcb.14413Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10044/1/65452Data sources: Bielefeld Academic Search Engine (BASE)Repositório do INPAArticle . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2021License: CC BYFull-Text: https://hdl.handle.net/10023/24448Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: https://www.ncbi.nlm.nih.gov/pubmed/30406962Data sources: Bielefeld Academic Search Engine (BASE)University of Lincoln: Lincoln RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2018 . Peer-reviewedData sources: St Andrews Research RepositoryInstitut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019Ghent University Academic BibliographyArticle . 2019Data sources: Ghent University Academic BibliographyLancaster University: Lancaster EprintsArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.14413&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 France, United Kingdom, AustriaPublisher:Springer Science and Business Media LLC Oliver L. Phillips; Bruno Hérault; John Armston; Timothy R. Baker; Klaus Scipal; Stuart J. Davies; Plinio Sist; Jérôme Chave; David A. Coomes; Sassan Saatchi; Laura Duncanson; Dmitry Schepaschenko; Nicolas Labrière; Maxime Réjou-Méchain; Simon L. Lewis; Simon L. Lewis; Mathias Disney; Victoria Meyer;Several remote sensing missions will soon produce detailed carbon maps over all terrestrial ecosystems. These missions are dependent on accurate and representative in situ datasets for the training of their algorithms and product validation. However, long-term ground-based forest-monitoring systems are limited, especially in the tropics, and to be useful for validation, such ground-based observation systems need to be regularly revisited and maintained at least over the lifetime of the planned missions. Here we propose a strategy for a coordinated and global network of in situ data that would benefit biomass remote sensing missions. We propose to build upon existing networks of long-term tropical forest monitoring. To produce accurate ground-based biomass estimates, strict data quality must be guaranteed to users. It is more rewarding to invest ground resources at sites where there currently is assurance of a long-term commitment locally and where a core set of data is already available. We call these ‘supersites’. Long-term funding for such an inter-agency endeavour remains an important challenge, and we here provide costing estimates to facilitate dialogue among stakeholders. One critical requirement is to ensure in situ data availability over the lifetime of remote sensing missions. To this end, consistent guidelines for supersite selection and management are proposed within the Forest Observation System, long-term funding should be assured, and principal investigators of the sites should be actively involved.
Hyper Article en Lig... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2019Full-Text: https://hal.science/hal-02403077Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10712-019-09528-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 115 citations 115 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2019Full-Text: https://hal.science/hal-02403077Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10712-019-09528-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 France, United Kingdom, Brazil, United Kingdom, United Kingdom, United Kingdom, United Kingdom, Netherlands, Brazil, France, France, Austria, Belgium, United States, Australia, United Kingdom, United States, France, Netherlands, Japan, United Kingdom, Austria, France, Belgium, France, United KingdomPublisher:Springer Science and Business Media LLC Funded by:UKRI | Tropical Biomes in Transi..., EC | GEOCARBON, EC | AMAZALERT +3 projectsUKRI| Tropical Biomes in Transition ,EC| GEOCARBON ,EC| AMAZALERT ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICA ,UKRI| Climate change and the Amazon: assessing the impact of climate on tree growth using tree ring widths and isotopes ,UKRI| BIOmes of Brasil - Resilience, rEcovery, and Diversity: BIO-REDAuthors: Gerardo A. Aymard C; Gabriela Lopez-Gonzalez; Marisol Toledo; Aida Cuni-Sanchez; +121 AuthorsGerardo A. Aymard C; Gabriela Lopez-Gonzalez; Marisol Toledo; Aida Cuni-Sanchez; Beatriz Schwantes Marimon; Paulo S. Morandi; John Terborgh; Jefferson S. Hall; Percy Núñez Vargas; Edmar Almeida de Oliveira; José Luís Camargo; Serge K. Begne; Serge K. Begne; Ismayadi Samsoedin; Susan G. Laurance; Ana Andrade; Vincent A. Vos; Thomas E. Lovejoy; Sylvester Tan; Michael Balinga; Joey Talbot; Faustin Mpanya Lukasu; Stuart J. Davies; Jaques Mukinzi; Richard B. Primack; Rafael de Paiva Salomão; Lise Zemagho; Javier Silva Espejo; Martin Gilpin; Everton Cristo de Almeida; Corneille E. N. Ewango; Roel J. W. Brienen; Wannes Hubau; Oliver L. Phillips; Andrew R. Marshall; Yadvinder Malhi; Damien Bonal; Frans Bongers; Jérôme Chave; Abel Monteagudo-Mendoza; Leandro Maracahipes; Rodrigo Sierra; Connie J. Clark; Terry Sunderland; Terry Sunderland; Eurídice N. Honorio Coronado; Douglas Sheil; Douglas Sheil; Kanehiro Kitayama; Fernando Cornejo Valverde; H. Priyadi; H. Priyadi; Lisa Steel; Nadir Pallqui Camacho; Lee J. T. White; John Tshibamba Mukendi; Simon Willcock; Simon Willcock; Carlos Cerón; Eric Chezeaux; Greta C. Dargie; Jean-Remy Makana; Victor Chama Moscoso; Georgia Pickavance; Alvaro Cogollo Pacheco; Ophelia Wang; Marie Noel Djuikouo K.; Maxime Réjou-Méchain; Kofi Affum-Baffoe; Guido Pardo; Pascal Petronelli; David Harris; J. W. Ferry Slik; Peter M. Umunay; Nicholas J. Berry; Jon C. Lovett; Ted R. Feldpausch; Lindsay F. Banin; Luis Valenzuela Gamarra; Terry L. Erwin; Simon L. Lewis; Simon L. Lewis; Esteban Alvarez Dávila; Kamariah Abu Salim; Bonaventure Sonké; Patricia Alvarez-Loayza; Sean C. Thomas; Luiz E. O. C. Aragão; Sophie Fauset; Sophie Fauset; Jean-Louis Doucet; Jean-François Bastin; Ervan Rutishauser; Martin J. P. Sullivan; Timothy R. Baker; Miguel E. Leal; Marcos Silveira; Marielos Peña-Claros; Lan Qie; Peter S. Ashton; Carlos A. Quesada; Jan Reitsma; Lip Khoon Kho; John R. Poulsen; Zorayda Restrepo; Kuswata Kartawinata; Axel Dalberg Poulsen; Christopher Baraloto; Charles De Cannière; Lera Miles; Shin-ichiro Aiba; Reuben Nilus; Hans ter Steege; Hans ter Steege; Hermann Taedoumg; James A. Comiskey; James A. Comiskey; Rafael Herrera; Rafael Herrera; Jan Bogaert; Emanuel Gloor; William F. Laurance; Ben Hur Marimon Junior; Ima Célia Guimarães Vieira; Terese B. Hart;AbstractTropical forests are global centres of biodiversity and carbon storage. Many tropical countries aspire to protect forest to fulfil biodiversity and climate mitigation policy targets, but the conservation strategies needed to achieve these two functions depend critically on the tropical forest tree diversity-carbon storage relationship. Assessing this relationship is challenging due to the scarcity of inventories where carbon stocks in aboveground biomass and species identifications have been simultaneously and robustly quantified. Here, we compile a unique pan-tropical dataset of 360 plots located in structurally intact old-growth closed-canopy forest, surveyed using standardised methods, allowing a multi-scale evaluation of diversity-carbon relationships in tropical forests. Diversity-carbon relationships among all plots at 1 ha scale across the tropics are absent, and within continents are either weak (Asia) or absent (Amazonia, Africa). A weak positive relationship is detectable within 1 ha plots, indicating that diversity effects in tropical forests may be scale dependent. The absence of clear diversity-carbon relationships at scales relevant to conservation planning means that carbon-centred conservation strategies will inevitably miss many high diversity ecosystems. As tropical forests can have any combination of tree diversity and carbon stocks both require explicit consideration when optimising policies to manage tropical carbon and biodiversity.
CORE arrow_drop_down James Cook University, Australia: ResearchOnline@JCUArticle . 2017Full-Text: http://dx.doi.org/10.1038/srep39102Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BYFull-Text: https://hdl.handle.net/10568/94168Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2017License: CC BYFull-Text: http://hdl.handle.net/1893/24913Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2017Full-Text: https://hal.science/hal-01594863Data sources: Bielefeld Academic Search Engine (BASE)Repositório do INPAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2017License: CC BYFull-Text: https://www.ncbi.nlm.nih.gov/pubmed/28094794Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Lincoln: Lincoln RepositoryArticle . 2017License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)INRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017License: CC-BY-ND-NCData sources: Bielefeld Academic Search Engine (BASE)USC Research Bank research dataArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Ghent University Academic BibliographyArticle . 2017Data sources: Ghent University Academic BibliographyHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/srep39102&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 291 citations 291 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert CORE arrow_drop_down James Cook University, Australia: ResearchOnline@JCUArticle . 2017Full-Text: http://dx.doi.org/10.1038/srep39102Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BYFull-Text: https://hdl.handle.net/10568/94168Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2017License: CC BYFull-Text: http://hdl.handle.net/1893/24913Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2017Full-Text: https://hal.science/hal-01594863Data sources: Bielefeld Academic Search Engine (BASE)Repositório do INPAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2017License: CC BYFull-Text: https://www.ncbi.nlm.nih.gov/pubmed/28094794Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Lincoln: Lincoln RepositoryArticle . 2017License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)INRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017License: CC-BY-ND-NCData sources: Bielefeld Academic Search Engine (BASE)USC Research Bank research dataArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Ghent University Academic BibliographyArticle . 2017Data sources: Ghent University Academic BibliographyHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/srep39102&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018 United Kingdom, United Kingdom, United Kingdom, FrancePublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:ANR | TULIP, ANR | ANAEE-FRANR| TULIP ,ANR| ANAEE-FRLabrière, Nicolas; Tao, Shengli; Chave, Jérôme; Scipal, Klaus; Le Toan, Thuy; Abernethy, Katharine; Alonso, Alfonso; Barbier, Nicolas; Bissiengou, Pulcherie; Casal, Tânia; Davies, Stuart; Ferraz, António; Hérault, Bruno; Jaouen, Gaëlle; Jeffery, Kathryn; Kenfack, David; Korte, Lisa; Lewis, Simon; Malhi, Yadvinder; Memiaghe, Herve; Poulsen, John; Réjou-Méchain, Maxime; Villard, Ludovic; Vincent, Grégoire; White, Lee; Saatchi, Sassan;handle: 1893/27659
Tropical forests are a key component of the global carbon cycle. Yet, there are still high uncertainties in forest carbon stock and flux estimates, notably because of their spatial and temporal variability across the tropics. Several upcoming spaceborne missions have been designed to address this gap. High-quality ground data are essential for accurate calibration/validation so that spaceborne biomass missions can reach their full potential in reducing uncertainties regarding forest carbon stocks and fluxes. The BIOMASS mission, a P-band SAR satellite from the European Space Agency (ESA), aims at improving carbon stock mapping and reducing uncertainty in the carbon fluxes from deforestation, forest degradation, and regrowth. In situ activities in support of the BIOMASS mission were carried out in French Guiana and Gabon during the TropiSAR and AfriSAR campaigns. During these campaigns, airborne P-band SAR, forest inventory, and lidar data were collected over six study sites. This paper describes the methods used for forest inventory and lidar data collection and analysis, and presents resulting plot estimates and aboveground biomass maps. These reference datasets along with intermediate products (e.g., canopy height models) can be accessed through ESA's Forest Observation System and the Dryad data repository and will be useful for BIOMASS but also to other spaceborne biomass missions such as GEDI, NISAR, and Tandem-L for calibration/validation purposes. During data quality control and analysis, prospects for reducing uncertainties have been identified, and this paper finishes with a series of recommendations for future tropical forest field campaigns to better serve the remote sensing community.
CORE arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2018License: rioxx All Rights ReservedData sources: CORE (RIOXX-UK Aggregator)IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2018 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticleLicense: CC 0Data sources: UnpayWallCIRAD: HAL (Agricultural Research for Development)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jstars.2018.2851606&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 59 citations 59 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2018License: rioxx All Rights ReservedData sources: CORE (RIOXX-UK Aggregator)IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2018 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticleLicense: CC 0Data sources: UnpayWallCIRAD: HAL (Agricultural Research for Development)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jstars.2018.2851606&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2019Publisher:OpenAlex Dmitry Schepaschenko; Jérôme Chave; Oliver L. Phillips; Simon L. Lewis; Stuart J. Davies; Maxime Réjou‐Méchain; Plínio Sist; Klaus Scipal; Christoph Perger; Bruno Hérault; Nicolas Labrière; Florian Hofhansl; Kofi Affum‐Baffoe; Alfonso Alonso; Christian Amani; Alejandro Araujo‐Murakami; John Armston; Luzmila Arroyo; Nataly Ascarrunz; C. P. de Azevedo; Timothy R. Baker; Radomir Bałazy; Caroline Bedeau; Nicholas Berry; Andrii Bilous; Pulchérie Bissiengou; Lilian Blanc; Tatyana Braslavskaya; Roel Brienen; David F. R. P. Burslem; Richard Condit; Aida Cuní-Sanchez; Dennis Del Castillo-Torres; Géraldine Derroire; Laurent Descroix; Eleneide Doff Sotta; Marcus Vn d'Oliveira; Christopher Dresel; Terry L. Erwin; Jan Falck; Ted R. Feldpausch; Ernest G. Foli; Robin B. Foster; Steffen Fritz; Antonio García‐Abril; Ernest Gothard-Bassébé; Sylvie Gourlet‐Fleury; Marcelino Carneiro Guedes; Keith C. Hamer; Farida Herry Susanty; Níro Higuchi; Eurídice N. Honorio Coronado; Wannes Hubau; Stephen P. Hubbell; Ulrik Ilstedt; Milton Kanashiro; Anders Karlsson; Viktor Karminov; Timothy J. Killeen; Jean-Claude Konan Koffi; Florian Kraxner; Jan Krejza; Haruni Krisnawati; Leonid Krivobokov; M. A. Kuznetsov; Ivan Lakyda; Petro Lakyda; Juan Carlos Licona; Richard Lucas; Daniel Lussetti; Yadvinder Malhi; J. A. Manzanera; Beatriz Schwantes Marimon; Ben Hur Marimon; Rodolfo Vásquez Martínez; Olga Martynenko; Maksym Matsala; Raisa K. Matyashuk; Lucas Mazzei; Hervé Memiaghe; Casimiro Mendoza; Abel Monteagudo Mendoza; Olga V. Moroziuk; Liudmila Mukhortova; Samsudin Musa; Toshinori Okuda; Luís Cláudio de Oliveira; Petr Ontikov;La biomasse forestière est un indicateur essentiel pour la surveillance des écosystèmes et du climat de la Terre. Il s'agit d'une contribution essentielle à la comptabilisation des gaz à effet de serre, à l'estimation des pertes de carbone et de la dégradation des forêts, à l'évaluation du potentiel des énergies renouvelables et à l'élaboration de politiques d'atténuation du changement climatique telles que REDD+, entre autres. La cartographie mur à mur de la biomasse aérienne (AGB) est maintenant possible avec la télédétection par satellite (RS). Cependant, les méthodes RS nécessitent des données in situ existantes, à jour, fiables, représentatives et comparables pour l'étalonnage et la validation. Nous présentons ici l'initiative Forest Observation System (Fos), une coopération internationale visant à établir et à maintenir une base de données mondiale sur la biomasse forestière in situ. Les estimations de la hauteur de l'AGB et de la canopée avec leurs incertitudes associées sont dérivées à une échelle de 0,25 ha à partir de mesures sur le terrain effectuées dans des parcelles de recherche permanentes à travers les forêts du monde. Toutes les estimations des placettes sont géolocalisées et ont une taille qui permet une comparaison directe avec de nombreuses mesures RS. Le Fos offre le potentiel d'améliorer la précision des produits de la biomasse à base de RS tout en développant de nouvelles synergies entre la RS et les communautés de recherche sur les écosystèmes terrestres. La biomasa forestal es un indicador esencial para monitorear los ecosistemas y el clima de la Tierra. Es un insumo crítico para la contabilidad de gases de efecto invernadero, la estimación de las pérdidas de carbono y la degradación forestal, la evaluación del potencial de energía renovable y para el desarrollo de políticas de mitigación del cambio climático como REDD+, entre otras. El mapeo de pared a pared de la biomasa sobre el suelo (AGB) ahora es posible con la teledetección satelital (RS). Sin embargo, los métodos de RS requieren datos in situ existentes, actualizados, confiables, representativos y comparables para la calibración y validación. Aquí, presentamos la iniciativa del Sistema de Observación Forestal (FOS), una cooperación internacional para establecer y mantener una base de datos global de biomasa forestal in situ. Las estimaciones de altura de AGB y dosel con sus incertidumbres asociadas se derivan a una escala de 0,25 ha a partir de mediciones de campo realizadas en parcelas de investigación permanentes en los bosques del mundo. Todas las estimaciones de parcelas están geolocalizadas y tienen un tamaño que permite la comparación directa con muchas mediciones de RS. El FOS ofrece el potencial de mejorar la precisión de los productos de biomasa basados en RS al tiempo que desarrolla nuevas sinergias entre las comunidades de investigación de ecosistemas basados en RS y en tierra. 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. الكتلة الحيوية للغابات هي مؤشر أساسي لرصد النظم الإيكولوجية للأرض ومناخها. وهو مدخل حاسم في المحاسبة المتعلقة بغازات الدفيئة، وتقدير خسائر الكربون وتدهور الغابات، وتقييم إمكانات الطاقة المتجددة، ووضع سياسات للتخفيف من آثار تغير المناخ مثل المبادرة المعززة لخفض الانبعاثات الناجمة عن إزالة الغاباتوتدهورها، من بين أمور أخرى. أصبح من الممكن الآن رسم خرائط من الجدار إلى الجدار للكتلة الحيوية فوق الأرض (AGB) باستخدام الاستشعار عن بعد عبر الأقمار الصناعية (RS). ومع ذلك، تتطلب طرق RS بيانات موجودة وحديثة وموثوقة وتمثيلية وقابلة للمقارنة في الموقع للمعايرة والتحقق من الصحة. نقدم هنا مبادرة نظام مراقبة الغابات، وهو تعاون دولي لإنشاء وصيانة قاعدة بيانات عالمية للكتلة الحيوية للغابات في الموقع. يتم اشتقاق تقديرات ارتفاع AGB والمظلة مع أوجه عدم اليقين المرتبطة بها على مقياس 0.25 هكتار من القياسات الميدانية التي تم إجراؤها في قطع البحث الدائمة عبر غابات العالم. جميع تقديرات المخطط محددة جغرافيًا ولها حجم يسمح بالمقارنة المباشرة مع العديد من قياسات RS. يوفر نظام التشغيل الحر إمكانية تحسين دقة منتجات الكتلة الحيوية القائمة على RS مع تطوير أوجه تآزر جديدة بين RS ومجتمعات أبحاث النظام الإيكولوجي الأرضية.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2014 India, Germany, United Kingdom, France, India, Australia, Germany, Brazil, Brazil, United States, DenmarkPublisher:Copernicus GmbH Funded by:NSF | Dimensions IRCN: Diversit..., EC | T-FORCES, ANR | TULIP +1 projectsNSF| Dimensions IRCN: Diversity and Forest Change: Characterizing functional, phylogenetic and genetic contributions to diversity gradients and dynamics in tree communities ,EC| T-FORCES ,ANR| TULIP ,EC| ROBINJess K. Zimmerman; Nur Supardi Md. Noor; Zhanqing Hao; Jonathan S. Schurman; Christopher J. Nytch; Juan Sebastian Barreto-Silva; Min Cao; R. Salim; James A. Lutz; Matteo Detto; Jérôme Chave; Richard P. Phillips; H. S. Dattaraja; Jyh-Min Chiang; George B. Chuyong; Alexandre Adalardo de Oliveira; Sarayudh Bunyavejchewin; Charles E. Zartman; Maxime Réjou-Méchain; Jill Thompson; Warren Y. Brockelman; Nantachai Pongpattananurak; Andrew J. Larson; Dairon Cárdenas; David Kenfack; Stuart J. Davies; Toby R. Marthews; Alvaro Duque; Bruno Hérault; Udomlux Suwanvecho; María Uriarte; Raman Sukumar; Stephen P. Hubbell; Stephen P. Hubbell; Sean C. Thomas; Zuoqiang Yuan; Anuttara Nathalang; Norman A. Bourg; Alberto Vicentini; S.S. Saatchi; Luxiang Lin; Helene C. Muller-Landau; R. H. S. Fernando; H. S. Suresh; Yadvinder Malhi; T. Le Toan; Sean M. McMahon; Keith Clay; Kyle E. Harms; Robert W. Howe; Christine Fletcher; Ryan W. McEwan; Shameema Esufali; Renato Valencia; I. A. U. N. Gunatilleke; Terese B. Hart; Amy Wolf; Duncan W. Thomas; Ruwan Punchi-Manage; Jean-Remy Makana; William J. McShea; Nathalie Butt; Nathalie Butt; Robert Muscarella; Daniel J. Johnson; Yiching Lin; Corneille E. N. Ewango; Sandra L. Yap; Richard Condit;Abstract. Advances in forest carbon mapping have the potential to greatly reduce uncertainties in the global carbon budget and to facilitate effective emissions mitigation strategies such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation). Though broad-scale mapping is based primarily on remote sensing data, the accuracy of resulting forest carbon stock estimates depends critically on the quality of field measurements and calibration procedures. The mismatch in spatial scales between field inventory plots and larger pixels of current and planned remote sensing products for forest biomass mapping is of particular concern, as it has the potential to introduce errors, especially if forest biomass shows strong local spatial variation. Here, we used 30 large (8–50 ha) globally distributed permanent forest plots to quantify the spatial variability in aboveground biomass density (AGBD in Mg ha–1) at spatial scales ranging from 5 to 250 m (0.025–6.25 ha), and to evaluate the implications of this variability for calibrating remote sensing products using simulated remote sensing footprints. We found that local spatial variability in AGBD is large for standard plot sizes, averaging 46.3% for replicate 0.1 ha subplots within a single large plot, and 16.6% for 1 ha subplots. AGBD showed weak spatial autocorrelation at distances of 20–400 m, with autocorrelation higher in sites with higher topographic variability and statistically significant in half of the sites. We further show that when field calibration plots are smaller than the remote sensing pixels, the high local spatial variability in AGBD leads to a substantial "dilution" bias in calibration parameters, a bias that cannot be removed with standard statistical methods. Our results suggest that topography should be explicitly accounted for in future sampling strategies and that much care must be taken in designing calibration schemes if remote sensing of forest carbon is to achieve its promise.
NERC Open Research A... arrow_drop_down Repositório do INPAArticle . 2014License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bgd-11...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2014 . Peer-reviewedLicense: CC BYPublikationenserver der Georg-August-Universität GöttingenArticle . 2019Göttingen Research Online PublicationsArticle . 2019Data sources: Göttingen Research Online Publicationshttp://dx.doi.org/10.5194/bg-1...Article . Peer-reviewedData sources: European Union Open Data PortalThe University of Queensland: UQ eSpaceArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 129 citations 129 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down Repositório do INPAArticle . 2014License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bgd-11...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2014 . Peer-reviewedLicense: CC BYPublikationenserver der Georg-August-Universität GöttingenArticle . 2019Göttingen Research Online PublicationsArticle . 2019Data sources: Göttingen Research Online Publicationshttp://dx.doi.org/10.5194/bg-1...Article . Peer-reviewedData sources: European Union Open Data PortalThe University of Queensland: UQ eSpaceArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-11-6827-2014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018Embargo end date: 01 Nov 2018 Belgium, France, Brazil, France, France, Australia, Germany, Netherlands, Netherlands, Brazil, Australia, Australia, United Kingdom, France, France, France, Switzerland, United Kingdom, France, Australia, Italy, United KingdomPublisher:Wiley Emmanuel H. Martin; Verginia Wortel; Thomas E. Lovejoy; Narayanan Ayyappan; Narayanan Ayyappan; Roel J. W. Brienen; Georges Chuyong; Nigel C. A. Pitman; Nina Farwig; John Terborgh; John Terborgh; Ana Andrade; Narcisse Guy Kamdem; Rodolfo Vasque; Hans Beeckman; Paulus Matius; John R. Poulsen; Stephen P. Hubbell; Stephen P. Hubbell; Susan G. Laurance; Iêda Leão do Amaral; Juliana Stropp; Jérôme Chave; Simon L. Lewis; James R. Kellner; Thomas Duncan; Oliver L. Phillips; B.R. Ramesh; Germaine Alexander Parada Gutierrez; Martin J. P. Sullivan; Papi Puspa Warsudi; Connie J. Clark; Donatien Zebaze; Wannes Hubau; Hans Verbeeck; Eurídice N. Honorio Coronado; Tinde van Andel; Takeshi Toma; Renato Valencia; Luis Valenzuela; Andrew R. Marshall; Andrew R. Marshall; Hugo Romero Saltos; Samir Gonçalves Rolim; Ben Swanepoel; Jon Lloyd; Jon Lloyd; Jorcely Barroso; Laurent Descroix; Sebastian K. Herzog; Patricia Alvarez-Loyayza; Robin L. Chazdon; Marcos Silveira; Guido Pardo; David Harris; Olaf Bánki; Thalès de Haulleville; Thalès de Haulleville; Maxime Réjou-Méchain; Wilson Roberto Spironello; Luzmila Arroyo; Jean-Louis Doucet; Leandro Valle Ferreira; James Grogan; Ahimsa Campos-Arceiz; Hans ter Steege; Hans ter Steege; Pierre Ploton; David Kenfack; Koen Hufkens; Bonaventure Sonké; Priya Davidar; Adeline Fayolle; Pandi Vivek; Antonio Ferraz; Gauthier Ligot; David A. Neill; Vincent Droissart; Katrin Boehning-Gaese; Johanna Hurtado; Jan Bogaert; Elizabeth Kearsley; Krisna Gajapersad; Christine Fletcher; Nicolas Barbier; Denise Sasaki; Ervan Rutishauser; Beatriz Schwantes Marimon; Francis Q. Brearley; Javier Silva Espejo; Santiago Espinosa; Jean François Gillet; Benoît Cassart; Benoît Cassart; Christelle Gonmadje; Jean-François Bastin; Quentin Ponette; Charles De Cannière; Jean Claude Razafimahaimodison; Arafat S. Mtui; Luiz Marcelo Brum Rossi; Philippe Saner; Moses Libalah; Mireille Breuer-Ndoundou Hockemba; Michael Kessler; Bruno Hérault; Jason Vleminckx; Alejandro Araujo-Murakami; Aurélie Dourdain; Yves Laumonier; Victoria Meyer; Nicolas Labrière; Richard Condit; Ted R. Feldpausch; Robert Bitariho; James Singh; Marc P. E. Parren; Vincent A. Vos; Mark Schulze; David B. Clark; Yadvinder Malhi; Ben Hur Marimon Junior; J. Daniel Soto; Narayanaswamy Parthasarathy; Francesco Rovero; Casimero Mendoza Bautista; Fernando Cornejo Valverde; Ferry Slik; Abel Monteagudo-Mendoza; Roderick Zagt; Hilandia Brandão; Jürgen Homeier; Plinio Sist; Cintia Rodrigues de Souza; Celso Paulo de Azevedo; Pascal Boeckx; William F. Laurance; Sassan Saatchi; Nicolas Texier; Raphaël Pélissier; Albert Angbonga-Basia; Fabien Wagner; José Luís Camargo;AbstractAimLarge 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.LocationPan‐tropical.Time periodEarly 21st century.Major taxa studiedWoody plants.MethodsUsing 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.ResultsMeasuring 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 conclusionsOur 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.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021Full-Text: https://hdl.handle.net/10568/111872Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2018Full-Text: https://hal.science/hal-02102265Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2020e-space at Manchester Metropolitan UniversityArticle . 2018Data sources: e-space at Manchester Metropolitan UniversityInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Zurich Open Repository and ArchiveArticle . 2018 . Peer-reviewedData sources: Zurich Open Repository and ArchiveGlobal Ecology and BiogeographyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefGlobal Ecology and BiogeographyArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Flore (Florence Research Repository)Article . 2018Data sources: Flore (Florence Research Repository)Global Ecology and BiogeographyArticle . 2018James Cook University, Australia: ResearchOnline@JCUArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/geb.12803&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 82 citations 82 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021Full-Text: https://hdl.handle.net/10568/111872Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2018Full-Text: https://hal.science/hal-02102265Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2020e-space at Manchester Metropolitan UniversityArticle . 2018Data sources: e-space at Manchester Metropolitan UniversityInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Zurich Open Repository and ArchiveArticle . 2018 . Peer-reviewedData sources: Zurich Open Repository and ArchiveGlobal Ecology and BiogeographyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefGlobal Ecology and BiogeographyArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Flore (Florence Research Repository)Article . 2018Data sources: Flore (Florence Research Repository)Global Ecology and BiogeographyArticle . 2018James Cook University, Australia: ResearchOnline@JCUArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/geb.12803&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2025 United Kingdom, France, France, Italy, Netherlands, United Kingdom, United KingdomPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:UKRI | A Socio-Ecological Observ..., EC | AMAZALERT, NSF | Collaborative Research: L... +11 projectsUKRI| A Socio-Ecological Observatory for the Southern African Woodlands ,EC| AMAZALERT ,NSF| Collaborative Research: LTREB: A natural laboratory for studying biodiversity, ecosystem function, and responses to environmental change from Amazonian lowlands to Andean treeline ,EC| GEOCARBON ,EC| TreeMort ,UKRI| SECO: Resolving the current and future carbon dynamics of the dry tropics ,UKRI| Nordeste ,UKRI| Biodiversity and ecosystem functioning in degraded and recovering Amazonian and Atlantic forests ,UKRI| BIOmes of Brasil - Resilience, rEcovery, and Diversity: BIO-RED ,EC| T-FORCES ,UKRI| ARBOLES: A trait-based Understanding of LATAM Forest Biodiversity and Resilience ,UKRI| NI: Lightning in African tropical forests: from tree mortality to carbon dynamics ,UKRI| TREMOR: Mechanisms and consequences of increasing TREe MORtality in Amazonian rainforests ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICASullivan, Martin; Phillips, Oliver; Galbraith, David; Almeida, Everton; de Oliveira, Edmar; Almeida, Jarcilene; Dávila, Esteban; Alves, Luciana; Andrade, Ana; Aragão, Luiz; Araujo-Murakami, Alejandro; Arets, Eric; Arroyo, Luzmila; Cruz, Omar; Baccaro, Fabrício; Baker, Timothy; Banki, Olaf; Baraloto, Christopher; Barlow, Jos; Barroso, Jorcely; Berenguer, Erika; Blanc, Lilian; Blundo, Cecilia; Bonal, Damien; Bongers, Frans; Bordin, Kauane; Brienen, Roel; Broggio, Igor; Burban, Benoit; Cabral, George; Camargo, José; Cardoso, Domingos; Carniello, Maria; Castro, Wendeson; de Lima, Haroldo; Cavalheiro, Larissa; Ribeiro, Sabina; Ramos, Sonia; Moscoso, Victor; Chave, Jerôme; Coelho, Fernanda; Comiskey, James; Valverde, Fernando; Costa, Flávia; Coutinho, Italo; da Costa, Antonio; de Medeiros, Marcelo; del Aguila Pasquel, Jhon; Derroire, Géraldine; Dexter, Kyle; Disney, Mat; Do Espírito Santo, Mário; Domingues, Tomas; Dourdain, Aurélie; Duque, Alvaro; Rangel, Cristabel; Elias, Fernando; Esquivel-Muelbert, Adriane; Farfan-Rios, William; Fauset, Sophie; Feldpausch, Ted; Fernandes, G; Ferreira, Joice; Nunes, Yule; Figueiredo, João; Cabreara, Karina; Gonzalez, Roy; Hernández, Lionel; Herrera, Rafael; Honorio Coronado, Eurídice; Huasco, Walter; Iguatemy, Mariana; Joly, Carlos; Kalamandeen, Michelle; Killeen, Timothy; Klipel, Joice; Klitgaard, Bente; Laurance, Susan; Laurance, William; Levesley, Aurora; Lewis, Simon; Lima Dan, Maurício; Lopez-Gonzalez, Gabriela; Magnusson, William; Malhi, Yadvinder; Malizia, Lucio; Malizia, Augustina; Manzatto, Angelo; Peña, Jose; Marimon, Beatriz; Marimon Junior, Ben; Martínez-Villa, Johanna; Reis, Simone; Metzker, Thiago; Milliken, William; Monteagudo-Mendoza, Abel; Moonlight, Peter; Morandi, Paulo; Moser, Pamela; Müller, Sandra; Nascimento, Marcelo; Negreiros, Daniel; Lima, Adriano; Vargas, Percy; Oliveira, Washington; Palacios, Walter; Pallqui Camacho, Nadir; Gutierrez, Alexander; Pardo Molina, Guido; Pedra de Abreu, Karla; Peña-Claros, Marielos; Pena Rodrigues, Pablo; Pennington, R; Pickavance, Georgia; Pipoly, John; Pitman, Nigel; Playfair, Maureen; Pontes-Lopes, Aline; Poorter, Lourens; Prestes, Nayane; Ramírez-Angulo, Hirma; Réjou-Méchain, Maxime; Reynel Rodriguez, Carlos; Rivas-Torres, Gonzalo; Rodrigues, Priscyla; de Jesus Rodrigues, Domingos; de Sousa, Thaiane; Rodrigues Pinto, José; Rodriguez M, Gina; Roucoux, Katherine; Ruokolainen, Kalle; Ryan, Casey; Revilla, Norma; Salomão, Rafael; Santos, Rubens; Sarkinen, Tiina; Scabin, Andressa; Bergamin, Rodrigo; Schietti, Juliana; de Meira Junior, Milton; Serrano, Julio; Silman, Miles; Silva, Richarlly; Silva, Camila; Silva, Jhonathan; Silveira, Marcos; Simon, Marcelo; Soto-Shareva, Yahn; Souza, Priscila; Souza, Rodolfo; Sposito, Tereza; Talbot, Joey; ter Steege, Hans; Terborgh, John; Thomas, Raquel; Toledo, Marisol; Torres-Lezama, Armando; Trujillo, William; van der Hout, Peter; Veloso, Maria; Vieira, Simone; Vilanova, Emilio; Villalobos Cayo, Jeanneth; Villela, Dora; Viscarra, Laura; Vos, Vincent; Wortel, Verginia; Ishida, Francoise; Zuidema, Pieter; Zwerts, Joeri;Abstract Wood density is a critical control on tree biomass, so poor understanding of its spatial variation can lead to large and systematic errors in forest biomass estimates and carbon maps. The need to understand how and why wood density varies is especially critical in tropical America where forests have exceptional species diversity and spatial turnover in composition. As tree identity and forest composition are challenging to estimate remotely, ground surveys are essential to know the wood density of trees, whether measured directly or inferred from their identity. Here, we assemble an extensive dataset of variation in wood density across the most forested and tree-diverse continent, examine how it relates to spatial and environmental variables, and use these relationships to predict spatial variation in wood density over tropical and sub-tropical South America. Our analysis refines previously identified east-west Amazon gradients in wood density, improves them by revealing fine-scale variation, and extends predictions into Andean, dry, and Atlantic forests. The results halve biomass prediction errors compared to a naïve scenario with no knowledge of spatial variation in wood density. Our findings will help improve remote sensing-based estimates of aboveground biomass carbon stocks across tropical South America.
Archivio Istituziona... arrow_drop_down Oxford University Research ArchiveArticle . 2025License: CC BYData sources: Oxford University Research ArchiveWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2025 . Peer-reviewedData sources: St Andrews Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-025-56175-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Archivio Istituziona... arrow_drop_down Oxford University Research ArchiveArticle . 2025License: CC BYData sources: Oxford University Research ArchiveWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2025 . Peer-reviewedData sources: St Andrews Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-025-56175-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 France, France, France, France, Netherlands, France, GermanyPublisher:Springer Science and Business Media LLC Funded by:ANR | 3DForModANR| 3DForModAuthors: Martin Herold; Stephane Momo Takoudjou; Stephane Momo Takoudjou; Jean-Baptiste Féret; +10 AuthorsMartin Herold; Stephane Momo Takoudjou; Stephane Momo Takoudjou; Jean-Baptiste Féret; Pierre Ploton; Jérôme Chave; Stéphane Mermoz; Maxime Réjou-Méchain; Florian de Boissieu; Pierre Couteron; Nicolas Barbier; Sassan Saatchi; Raphaël Pélissier; Grégoire Vincent;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.
GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2019Data sources: GFZ German Research Centre for GeosciencesCIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10712-019-09532-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 88 citations 88 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2019Data sources: GFZ German Research Centre for GeosciencesCIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10712-019-09532-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2019 FrancePublisher:Copernicus GmbH Funded by:ANR | 3DForModANR| 3DForModN. Jha; N. K. Tripathi; W. Chanthorn; W. Brockelman; A. Nathalang; A. Nathalang; R. Pélissier; S. Pimmasarn; P. Ploton; N. Sasaki; S. G. P. Virdis; M. Réjou-Méchain;Abstract. 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+.
Hyper Article en Lig... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.umontpellier.fr/hal-02404726Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-17-121-2020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 25 citations 25 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.umontpellier.fr/hal-02404726Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-17-121-2020&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018 Belgium, United Kingdom, United Kingdom, United Kingdom, Brazil, France, United Kingdom, Netherlands, Italy, France, Australia, United Kingdom, Netherlands, Netherlands, France, Netherlands, France, United Kingdom, Brazil, United Kingdom, United Kingdom, France, United KingdomPublisher:Wiley Funded by:UKRI | BIOmes of Brasil - Resili..., UKRI | TREMOR: Mechanisms and co..., EC | AMAZALERT +2 projectsUKRI| BIOmes of Brasil - Resilience, rEcovery, and Diversity: BIO-RED ,UKRI| TREMOR: Mechanisms and consequences of increasing TREe MORtality in Amazonian rainforests ,EC| AMAZALERT ,UKRI| Tropical Biomes in Transition ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICAPaulo S. Morandi; Juliana Stropp; Hirma Ramírez-Angulo; José Luís Camargo; Nigel C. A. Pitman; Adriana Prieto; Edmar Almeida de Oliveira; Thomas E. Lovejoy; Simone Aparecida Vieira; Eliana Jimenez-Rojas; Fernando Elias; Abel Monteagudo-Mendoza; Everton Cristo de Almeida; Damien Bonal; Ima Célia Guimarães Vieira; Antonio Carlos Lola da Costa; Luzmila Arroyo; Victor Chama Moscoso; Oliver L. Phillips; John Terborgh; Julien Engel; Julien Engel; Rodolfo Vásquez Martínez; Ana Andrade; Martin J. P. Sullivan; Javier Silva Espejo; Roel J. W. Brienen; James A. Comiskey; Gabriela Lopez-Gonzalez; Rafael Herrera Fernández; Rafael Herrera Fernández; Alexander Parada Gutierrez; Eurídice N. Honorio Coronado; Marielos Peña-Claros; Jos Barlow; Jos Barlow; Susan G. Laurance; Peter van der Hout; Omar Aurelio Melo Cruz; Pieter A. Zuidema; Vincent A. Vos; Peter J. van de Meer; Beatriz Schwantes Marimon; Nallaret Davila Cardozo; William F. Laurance; Frans Bongers; Jon Lloyd; Simon L. Lewis; Simon L. Lewis; Jorcely Barroso; Pascal Petronelli; Zorayda Restrepo Correa; Luisa Fernanda Duque; Terry L. Erwin; Ben Hur Marimon-Junior; Gerardo A. Aymard C; Eric Arets; Esteban Álvarez-Dávila; Lourens Poorter; Maria Cristina Peñuela-Mora; Yadvinder Malhi; Guido Pardo; Rafael de Paiva Salomão; Clément Stahl; Jhon del Aguila Pasquel; Jhon del Aguila Pasquel; Ted R. Feldpausch; Jérôme Chave; Alejandro Araujo-Murakami; Georgia Pickavance; Natalino Silva; Geertje M. F. van der Heijden; Ricardo Keichi Umetsu; René G. A. Boot; David A. Neill; Timothy R. Baker; Kyle G. Dexter; Raquel Thomas; Plínio Barbosa de Camargo; David W. Galbraith; Percy Núñez Vargas; Marcos Silveira; Lan Qie; Carlos A. Quesada; Christopher Baraloto; Wannes Hubau; Anand Roopsind; Bruno Hérault; Luis Valenzuela Gamarra; César I.A. Vela; James Singh; Armando Torres-Lezama; Marisol Toledo; Wendeson Castro; Agustín Rudas; Julie Peacock; Emilio Vilanova; Emilio Vilanova; Anthony Di Fiore; Hans ter Steege; Hans ter Steege; Adriane Esquivel-Muelbert; Maxime Réjou-Méchain; Gerardo Flores Llampazo; Luiz E. O. C. Aragão; Luiz E. O. C. Aragão; Sophie Fauset; Niro Higuchi; Fernando Cornejo Valverde; Nadir Pallqui Camacho; Adriano José Nogueira Lima; Emanuel Gloor;AbstractMost of the planet's diversity is concentrated in the tropics, which includes many regions undergoing rapid climate change. Yet, while climate‐induced biodiversity changes are widely documented elsewhere, few studies have addressed this issue for lowland tropical ecosystems. Here we investigate whether the floristic and functional composition of intact lowland Amazonian forests have been changing by evaluating records from 106 long‐term inventory plots spanning 30 years. We analyse three traits that have been hypothesized to respond to different environmental drivers (increase in moisture stress and atmospheric CO2 concentrations): maximum tree size, biogeographic water‐deficit affiliation and wood density. Tree communities have become increasingly dominated by large‐statured taxa, but to date there has been no detectable change in mean wood density or water deficit affiliation at the community level, despite most forest plots having experienced an intensification of the dry season. However, among newly recruited trees, dry‐affiliated genera have become more abundant, while the mortality of wet‐affiliated genera has increased in those plots where the dry season has intensified most. Thus, a slow shift to a more dry‐affiliated Amazonia is underway, with changes in compositional dynamics (recruits and mortality) consistent with climate‐change drivers, but yet to significantly impact whole‐community composition. The Amazon observational record suggests that the increase in atmospheric CO2 is driving a shift within tree communities to large‐statured species and that climate changes to date will impact forest composition, but long generation times of tropical trees mean that biodiversity change is lagging behind climate change.
CORE arrow_drop_down COREArticle . 2019License: CC BYFull-Text: https://eprints.whiterose.ac.uk/134575/9/Esquivel-Muelbert_et_al-2019-Global_Change_Biology.pdfData sources: COREWhite Rose Research OnlineArticle . 2018License: CC BYFull-Text: http://eprints.whiterose.ac.uk/134575/9/Esquivel-Muelbert_et_al-2019-Global_Change_Biology.pdfData sources: CORE (RIOXX-UK Aggregator)CIRAD: HAL (Agricultural Research for Development)Article . 2019Full-Text: https://hal.umontpellier.fr/hal-02052715Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2019Full-Text: https://doi.org/10.1111/gcb.14413Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10044/1/65452Data sources: Bielefeld Academic Search Engine (BASE)Repositório do INPAArticle . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2021License: CC BYFull-Text: https://hdl.handle.net/10023/24448Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: https://www.ncbi.nlm.nih.gov/pubmed/30406962Data sources: Bielefeld Academic Search Engine (BASE)University of Lincoln: Lincoln RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2018 . Peer-reviewedData sources: St Andrews Research RepositoryInstitut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019Ghent University Academic BibliographyArticle . 2019Data sources: Ghent University Academic BibliographyLancaster University: Lancaster EprintsArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.14413&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 331 citations 331 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2019License: CC BYFull-Text: https://eprints.whiterose.ac.uk/134575/9/Esquivel-Muelbert_et_al-2019-Global_Change_Biology.pdfData sources: COREWhite Rose Research OnlineArticle . 2018License: CC BYFull-Text: http://eprints.whiterose.ac.uk/134575/9/Esquivel-Muelbert_et_al-2019-Global_Change_Biology.pdfData sources: CORE (RIOXX-UK Aggregator)CIRAD: HAL (Agricultural Research for Development)Article . 2019Full-Text: https://hal.umontpellier.fr/hal-02052715Data sources: Bielefeld Academic Search Engine (BASE)James Cook University, Australia: ResearchOnline@JCUArticle . 2019Full-Text: https://doi.org/10.1111/gcb.14413Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10044/1/65452Data sources: Bielefeld Academic Search Engine (BASE)Repositório do INPAArticle . 2019License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2021License: CC BYFull-Text: https://hdl.handle.net/10023/24448Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2018License: CC BYFull-Text: https://www.ncbi.nlm.nih.gov/pubmed/30406962Data sources: Bielefeld Academic Search Engine (BASE)University of Lincoln: Lincoln RepositoryArticle . 2018License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2018 . Peer-reviewedData sources: St Andrews Research RepositoryInstitut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2019Ghent University Academic BibliographyArticle . 2019Data sources: Ghent University Academic BibliographyLancaster University: Lancaster EprintsArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.14413&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 France, United Kingdom, AustriaPublisher:Springer Science and Business Media LLC Oliver L. Phillips; Bruno Hérault; John Armston; Timothy R. Baker; Klaus Scipal; Stuart J. Davies; Plinio Sist; Jérôme Chave; David A. Coomes; Sassan Saatchi; Laura Duncanson; Dmitry Schepaschenko; Nicolas Labrière; Maxime Réjou-Méchain; Simon L. Lewis; Simon L. Lewis; Mathias Disney; Victoria Meyer;Several remote sensing missions will soon produce detailed carbon maps over all terrestrial ecosystems. These missions are dependent on accurate and representative in situ datasets for the training of their algorithms and product validation. However, long-term ground-based forest-monitoring systems are limited, especially in the tropics, and to be useful for validation, such ground-based observation systems need to be regularly revisited and maintained at least over the lifetime of the planned missions. Here we propose a strategy for a coordinated and global network of in situ data that would benefit biomass remote sensing missions. We propose to build upon existing networks of long-term tropical forest monitoring. To produce accurate ground-based biomass estimates, strict data quality must be guaranteed to users. It is more rewarding to invest ground resources at sites where there currently is assurance of a long-term commitment locally and where a core set of data is already available. We call these ‘supersites’. Long-term funding for such an inter-agency endeavour remains an important challenge, and we here provide costing estimates to facilitate dialogue among stakeholders. One critical requirement is to ensure in situ data availability over the lifetime of remote sensing missions. To this end, consistent guidelines for supersite selection and management are proposed within the Forest Observation System, long-term funding should be assured, and principal investigators of the sites should be actively involved.
Hyper Article en Lig... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2019Full-Text: https://hal.science/hal-02403077Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 115 citations 115 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2019Full-Text: https://hal.science/hal-02403077Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10712-019-09528-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 France, United Kingdom, Brazil, United Kingdom, United Kingdom, United Kingdom, United Kingdom, Netherlands, Brazil, France, France, Austria, Belgium, United States, Australia, United Kingdom, United States, France, Netherlands, Japan, United Kingdom, Austria, France, Belgium, France, United KingdomPublisher:Springer Science and Business Media LLC Funded by:UKRI | Tropical Biomes in Transi..., EC | GEOCARBON, EC | AMAZALERT +3 projectsUKRI| Tropical Biomes in Transition ,EC| GEOCARBON ,EC| AMAZALERT ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICA ,UKRI| Climate change and the Amazon: assessing the impact of climate on tree growth using tree ring widths and isotopes ,UKRI| BIOmes of Brasil - Resilience, rEcovery, and Diversity: BIO-REDAuthors: Gerardo A. Aymard C; Gabriela Lopez-Gonzalez; Marisol Toledo; Aida Cuni-Sanchez; +121 AuthorsGerardo A. Aymard C; Gabriela Lopez-Gonzalez; Marisol Toledo; Aida Cuni-Sanchez; Beatriz Schwantes Marimon; Paulo S. Morandi; John Terborgh; Jefferson S. Hall; Percy Núñez Vargas; Edmar Almeida de Oliveira; José Luís Camargo; Serge K. Begne; Serge K. Begne; Ismayadi Samsoedin; Susan G. Laurance; Ana Andrade; Vincent A. Vos; Thomas E. Lovejoy; Sylvester Tan; Michael Balinga; Joey Talbot; Faustin Mpanya Lukasu; Stuart J. Davies; Jaques Mukinzi; Richard B. Primack; Rafael de Paiva Salomão; Lise Zemagho; Javier Silva Espejo; Martin Gilpin; Everton Cristo de Almeida; Corneille E. N. Ewango; Roel J. W. Brienen; Wannes Hubau; Oliver L. Phillips; Andrew R. Marshall; Yadvinder Malhi; Damien Bonal; Frans Bongers; Jérôme Chave; Abel Monteagudo-Mendoza; Leandro Maracahipes; Rodrigo Sierra; Connie J. Clark; Terry Sunderland; Terry Sunderland; Eurídice N. Honorio Coronado; Douglas Sheil; Douglas Sheil; Kanehiro Kitayama; Fernando Cornejo Valverde; H. Priyadi; H. Priyadi; Lisa Steel; Nadir Pallqui Camacho; Lee J. T. White; John Tshibamba Mukendi; Simon Willcock; Simon Willcock; Carlos Cerón; Eric Chezeaux; Greta C. Dargie; Jean-Remy Makana; Victor Chama Moscoso; Georgia Pickavance; Alvaro Cogollo Pacheco; Ophelia Wang; Marie Noel Djuikouo K.; Maxime Réjou-Méchain; Kofi Affum-Baffoe; Guido Pardo; Pascal Petronelli; David Harris; J. W. Ferry Slik; Peter M. Umunay; Nicholas J. Berry; Jon C. Lovett; Ted R. Feldpausch; Lindsay F. Banin; Luis Valenzuela Gamarra; Terry L. Erwin; Simon L. Lewis; Simon L. Lewis; Esteban Alvarez Dávila; Kamariah Abu Salim; Bonaventure Sonké; Patricia Alvarez-Loayza; Sean C. Thomas; Luiz E. O. C. Aragão; Sophie Fauset; Sophie Fauset; Jean-Louis Doucet; Jean-François Bastin; Ervan Rutishauser; Martin J. P. Sullivan; Timothy R. Baker; Miguel E. Leal; Marcos Silveira; Marielos Peña-Claros; Lan Qie; Peter S. Ashton; Carlos A. Quesada; Jan Reitsma; Lip Khoon Kho; John R. Poulsen; Zorayda Restrepo; Kuswata Kartawinata; Axel Dalberg Poulsen; Christopher Baraloto; Charles De Cannière; Lera Miles; Shin-ichiro Aiba; Reuben Nilus; Hans ter Steege; Hans ter Steege; Hermann Taedoumg; James A. Comiskey; James A. Comiskey; Rafael Herrera; Rafael Herrera; Jan Bogaert; Emanuel Gloor; William F. Laurance; Ben Hur Marimon Junior; Ima Célia Guimarães Vieira; Terese B. Hart;AbstractTropical forests are global centres of biodiversity and carbon storage. Many tropical countries aspire to protect forest to fulfil biodiversity and climate mitigation policy targets, but the conservation strategies needed to achieve these two functions depend critically on the tropical forest tree diversity-carbon storage relationship. Assessing this relationship is challenging due to the scarcity of inventories where carbon stocks in aboveground biomass and species identifications have been simultaneously and robustly quantified. Here, we compile a unique pan-tropical dataset of 360 plots located in structurally intact old-growth closed-canopy forest, surveyed using standardised methods, allowing a multi-scale evaluation of diversity-carbon relationships in tropical forests. Diversity-carbon relationships among all plots at 1 ha scale across the tropics are absent, and within continents are either weak (Asia) or absent (Amazonia, Africa). A weak positive relationship is detectable within 1 ha plots, indicating that diversity effects in tropical forests may be scale dependent. The absence of clear diversity-carbon relationships at scales relevant to conservation planning means that carbon-centred conservation strategies will inevitably miss many high diversity ecosystems. As tropical forests can have any combination of tree diversity and carbon stocks both require explicit consideration when optimising policies to manage tropical carbon and biodiversity.
CORE arrow_drop_down James Cook University, Australia: ResearchOnline@JCUArticle . 2017Full-Text: http://dx.doi.org/10.1038/srep39102Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BYFull-Text: https://hdl.handle.net/10568/94168Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2017License: CC BYFull-Text: http://hdl.handle.net/1893/24913Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2017Full-Text: https://hal.science/hal-01594863Data sources: Bielefeld Academic Search Engine (BASE)Repositório do INPAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2017License: CC BYFull-Text: https://www.ncbi.nlm.nih.gov/pubmed/28094794Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Lincoln: Lincoln RepositoryArticle . 2017License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)INRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017License: CC-BY-ND-NCData sources: Bielefeld Academic Search Engine (BASE)USC Research Bank research dataArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Ghent University Academic BibliographyArticle . 2017Data sources: Ghent University Academic BibliographyHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/srep39102&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 291 citations 291 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert CORE arrow_drop_down James Cook University, Australia: ResearchOnline@JCUArticle . 2017Full-Text: http://dx.doi.org/10.1038/srep39102Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2018License: CC BYFull-Text: https://hdl.handle.net/10568/94168Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2017License: CC BYFull-Text: http://hdl.handle.net/1893/24913Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2017Full-Text: https://hal.science/hal-01594863Data sources: Bielefeld Academic Search Engine (BASE)Repositório do INPAArticle . 2017License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2017License: CC BYFull-Text: https://www.ncbi.nlm.nih.gov/pubmed/28094794Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Lincoln: Lincoln RepositoryArticle . 2017License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)INRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017License: CC-BY-ND-NCData sources: Bielefeld Academic Search Engine (BASE)USC Research Bank research dataArticle . 2017License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Ghent University Academic BibliographyArticle . 2017Data sources: Ghent University Academic BibliographyHarvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/srep39102&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018 United Kingdom, United Kingdom, United Kingdom, FrancePublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:ANR | TULIP, ANR | ANAEE-FRANR| TULIP ,ANR| ANAEE-FRLabrière, Nicolas; Tao, Shengli; Chave, Jérôme; Scipal, Klaus; Le Toan, Thuy; Abernethy, Katharine; Alonso, Alfonso; Barbier, Nicolas; Bissiengou, Pulcherie; Casal, Tânia; Davies, Stuart; Ferraz, António; Hérault, Bruno; Jaouen, Gaëlle; Jeffery, Kathryn; Kenfack, David; Korte, Lisa; Lewis, Simon; Malhi, Yadvinder; Memiaghe, Herve; Poulsen, John; Réjou-Méchain, Maxime; Villard, Ludovic; Vincent, Grégoire; White, Lee; Saatchi, Sassan;handle: 1893/27659
Tropical forests are a key component of the global carbon cycle. Yet, there are still high uncertainties in forest carbon stock and flux estimates, notably because of their spatial and temporal variability across the tropics. Several upcoming spaceborne missions have been designed to address this gap. High-quality ground data are essential for accurate calibration/validation so that spaceborne biomass missions can reach their full potential in reducing uncertainties regarding forest carbon stocks and fluxes. The BIOMASS mission, a P-band SAR satellite from the European Space Agency (ESA), aims at improving carbon stock mapping and reducing uncertainty in the carbon fluxes from deforestation, forest degradation, and regrowth. In situ activities in support of the BIOMASS mission were carried out in French Guiana and Gabon during the TropiSAR and AfriSAR campaigns. During these campaigns, airborne P-band SAR, forest inventory, and lidar data were collected over six study sites. This paper describes the methods used for forest inventory and lidar data collection and analysis, and presents resulting plot estimates and aboveground biomass maps. These reference datasets along with intermediate products (e.g., canopy height models) can be accessed through ESA's Forest Observation System and the Dryad data repository and will be useful for BIOMASS but also to other spaceborne biomass missions such as GEDI, NISAR, and Tandem-L for calibration/validation purposes. During data quality control and analysis, prospects for reducing uncertainties have been identified, and this paper finishes with a series of recommendations for future tropical forest field campaigns to better serve the remote sensing community.
CORE arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2018License: rioxx All Rights ReservedData sources: CORE (RIOXX-UK Aggregator)IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2018 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticleLicense: CC 0Data sources: UnpayWallCIRAD: HAL (Agricultural Research for Development)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 59 citations 59 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2018License: rioxx All Rights ReservedData sources: CORE (RIOXX-UK Aggregator)IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticle . 2018 . Peer-reviewedLicense: IEEE CopyrightData sources: CrossrefIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArticleLicense: CC 0Data sources: UnpayWallCIRAD: HAL (Agricultural Research for Development)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/jstars.2018.2851606&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2019Publisher:OpenAlex Dmitry Schepaschenko; Jérôme Chave; Oliver L. Phillips; Simon L. Lewis; Stuart J. Davies; Maxime Réjou‐Méchain; Plínio Sist; Klaus Scipal; Christoph Perger; Bruno Hérault; Nicolas Labrière; Florian Hofhansl; Kofi Affum‐Baffoe; Alfonso Alonso; Christian Amani; Alejandro Araujo‐Murakami; John Armston; Luzmila Arroyo; Nataly Ascarrunz; C. P. de Azevedo; Timothy R. Baker; Radomir Bałazy; Caroline Bedeau; Nicholas Berry; Andrii Bilous; Pulchérie Bissiengou; Lilian Blanc; Tatyana Braslavskaya; Roel Brienen; David F. R. P. Burslem; Richard Condit; Aida Cuní-Sanchez; Dennis Del Castillo-Torres; Géraldine Derroire; Laurent Descroix; Eleneide Doff Sotta; Marcus Vn d'Oliveira; Christopher Dresel; Terry L. Erwin; Jan Falck; Ted R. Feldpausch; Ernest G. Foli; Robin B. Foster; Steffen Fritz; Antonio García‐Abril; Ernest Gothard-Bassébé; Sylvie Gourlet‐Fleury; Marcelino Carneiro Guedes; Keith C. Hamer; Farida Herry Susanty; Níro Higuchi; Eurídice N. Honorio Coronado; Wannes Hubau; Stephen P. Hubbell; Ulrik Ilstedt; Milton Kanashiro; Anders Karlsson; Viktor Karminov; Timothy J. Killeen; Jean-Claude Konan Koffi; Florian Kraxner; Jan Krejza; Haruni Krisnawati; Leonid Krivobokov; M. A. Kuznetsov; Ivan Lakyda; Petro Lakyda; Juan Carlos Licona; Richard Lucas; Daniel Lussetti; Yadvinder Malhi; J. A. Manzanera; Beatriz Schwantes Marimon; Ben Hur Marimon; Rodolfo Vásquez Martínez; Olga Martynenko; Maksym Matsala; Raisa K. Matyashuk; Lucas Mazzei; Hervé Memiaghe; Casimiro Mendoza; Abel Monteagudo Mendoza; Olga V. Moroziuk; Liudmila Mukhortova; Samsudin Musa; Toshinori Okuda; Luís Cláudio de Oliveira; Petr Ontikov;La biomasse forestière est un indicateur essentiel pour la surveillance des écosystèmes et du climat de la Terre. Il s'agit d'une contribution essentielle à la comptabilisation des gaz à effet de serre, à l'estimation des pertes de carbone et de la dégradation des forêts, à l'évaluation du potentiel des énergies renouvelables et à l'élaboration de politiques d'atténuation du changement climatique telles que REDD+, entre autres. La cartographie mur à mur de la biomasse aérienne (AGB) est maintenant possible avec la télédétection par satellite (RS). Cependant, les méthodes RS nécessitent des données in situ existantes, à jour, fiables, représentatives et comparables pour l'étalonnage et la validation. Nous présentons ici l'initiative Forest Observation System (Fos), une coopération internationale visant à établir et à maintenir une base de données mondiale sur la biomasse forestière in situ. Les estimations de la hauteur de l'AGB et de la canopée avec leurs incertitudes associées sont dérivées à une échelle de 0,25 ha à partir de mesures sur le terrain effectuées dans des parcelles de recherche permanentes à travers les forêts du monde. Toutes les estimations des placettes sont géolocalisées et ont une taille qui permet une comparaison directe avec de nombreuses mesures RS. Le Fos offre le potentiel d'améliorer la précision des produits de la biomasse à base de RS tout en développant de nouvelles synergies entre la RS et les communautés de recherche sur les écosystèmes terrestres. La biomasa forestal es un indicador esencial para monitorear los ecosistemas y el clima de la Tierra. Es un insumo crítico para la contabilidad de gases de efecto invernadero, la estimación de las pérdidas de carbono y la degradación forestal, la evaluación del potencial de energía renovable y para el desarrollo de políticas de mitigación del cambio climático como REDD+, entre otras. El mapeo de pared a pared de la biomasa sobre el suelo (AGB) ahora es posible con la teledetección satelital (RS). Sin embargo, los métodos de RS requieren datos in situ existentes, actualizados, confiables, representativos y comparables para la calibración y validación. Aquí, presentamos la iniciativa del Sistema de Observación Forestal (FOS), una cooperación internacional para establecer y mantener una base de datos global de biomasa forestal in situ. Las estimaciones de altura de AGB y dosel con sus incertidumbres asociadas se derivan a una escala de 0,25 ha a partir de mediciones de campo realizadas en parcelas de investigación permanentes en los bosques del mundo. Todas las estimaciones de parcelas están geolocalizadas y tienen un tamaño que permite la comparación directa con muchas mediciones de RS. El FOS ofrece el potencial de mejorar la precisión de los productos de biomasa basados en RS al tiempo que desarrolla nuevas sinergias entre las comunidades de investigación de ecosistemas basados en RS y en tierra. 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. الكتلة الحيوية للغابات هي مؤشر أساسي لرصد النظم الإيكولوجية للأرض ومناخها. وهو مدخل حاسم في المحاسبة المتعلقة بغازات الدفيئة، وتقدير خسائر الكربون وتدهور الغابات، وتقييم إمكانات الطاقة المتجددة، ووضع سياسات للتخفيف من آثار تغير المناخ مثل المبادرة المعززة لخفض الانبعاثات الناجمة عن إزالة الغاباتوتدهورها، من بين أمور أخرى. أصبح من الممكن الآن رسم خرائط من الجدار إلى الجدار للكتلة الحيوية فوق الأرض (AGB) باستخدام الاستشعار عن بعد عبر الأقمار الصناعية (RS). ومع ذلك، تتطلب طرق RS بيانات موجودة وحديثة وموثوقة وتمثيلية وقابلة للمقارنة في الموقع للمعايرة والتحقق من الصحة. نقدم هنا مبادرة نظام مراقبة الغابات، وهو تعاون دولي لإنشاء وصيانة قاعدة بيانات عالمية للكتلة الحيوية للغابات في الموقع. يتم اشتقاق تقديرات ارتفاع AGB والمظلة مع أوجه عدم اليقين المرتبطة بها على مقياس 0.25 هكتار من القياسات الميدانية التي تم إجراؤها في قطع البحث الدائمة عبر غابات العالم. جميع تقديرات المخطط محددة جغرافيًا ولها حجم يسمح بالمقارنة المباشرة مع العديد من قياسات RS. يوفر نظام التشغيل الحر إمكانية تحسين دقة منتجات الكتلة الحيوية القائمة على RS مع تطوير أوجه تآزر جديدة بين RS ومجتمعات أبحاث النظام الإيكولوجي الأرضية.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2014 India, Germany, United Kingdom, France, India, Australia, Germany, Brazil, Brazil, United States, DenmarkPublisher:Copernicus GmbH Funded by:NSF | Dimensions IRCN: Diversit..., EC | T-FORCES, ANR | TULIP +1 projectsNSF| Dimensions IRCN: Diversity and Forest Change: Characterizing functional, phylogenetic and genetic contributions to diversity gradients and dynamics in tree communities ,EC| T-FORCES ,ANR| TULIP ,EC| ROBINJess K. Zimmerman; Nur Supardi Md. Noor; Zhanqing Hao; Jonathan S. Schurman; Christopher J. Nytch; Juan Sebastian Barreto-Silva; Min Cao; R. Salim; James A. Lutz; Matteo Detto; Jérôme Chave; Richard P. Phillips; H. S. Dattaraja; Jyh-Min Chiang; George B. Chuyong; Alexandre Adalardo de Oliveira; Sarayudh Bunyavejchewin; Charles E. Zartman; Maxime Réjou-Méchain; Jill Thompson; Warren Y. Brockelman; Nantachai Pongpattananurak; Andrew J. Larson; Dairon Cárdenas; David Kenfack; Stuart J. Davies; Toby R. Marthews; Alvaro Duque; Bruno Hérault; Udomlux Suwanvecho; María Uriarte; Raman Sukumar; Stephen P. Hubbell; Stephen P. Hubbell; Sean C. Thomas; Zuoqiang Yuan; Anuttara Nathalang; Norman A. Bourg; Alberto Vicentini; S.S. Saatchi; Luxiang Lin; Helene C. Muller-Landau; R. H. S. Fernando; H. S. Suresh; Yadvinder Malhi; T. Le Toan; Sean M. McMahon; Keith Clay; Kyle E. Harms; Robert W. Howe; Christine Fletcher; Ryan W. McEwan; Shameema Esufali; Renato Valencia; I. A. U. N. Gunatilleke; Terese B. Hart; Amy Wolf; Duncan W. Thomas; Ruwan Punchi-Manage; Jean-Remy Makana; William J. McShea; Nathalie Butt; Nathalie Butt; Robert Muscarella; Daniel J. Johnson; Yiching Lin; Corneille E. N. Ewango; Sandra L. Yap; Richard Condit;Abstract. Advances in forest carbon mapping have the potential to greatly reduce uncertainties in the global carbon budget and to facilitate effective emissions mitigation strategies such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation). Though broad-scale mapping is based primarily on remote sensing data, the accuracy of resulting forest carbon stock estimates depends critically on the quality of field measurements and calibration procedures. The mismatch in spatial scales between field inventory plots and larger pixels of current and planned remote sensing products for forest biomass mapping is of particular concern, as it has the potential to introduce errors, especially if forest biomass shows strong local spatial variation. Here, we used 30 large (8–50 ha) globally distributed permanent forest plots to quantify the spatial variability in aboveground biomass density (AGBD in Mg ha–1) at spatial scales ranging from 5 to 250 m (0.025–6.25 ha), and to evaluate the implications of this variability for calibrating remote sensing products using simulated remote sensing footprints. We found that local spatial variability in AGBD is large for standard plot sizes, averaging 46.3% for replicate 0.1 ha subplots within a single large plot, and 16.6% for 1 ha subplots. AGBD showed weak spatial autocorrelation at distances of 20–400 m, with autocorrelation higher in sites with higher topographic variability and statistically significant in half of the sites. We further show that when field calibration plots are smaller than the remote sensing pixels, the high local spatial variability in AGBD leads to a substantial "dilution" bias in calibration parameters, a bias that cannot be removed with standard statistical methods. Our results suggest that topography should be explicitly accounted for in future sampling strategies and that much care must be taken in designing calibration schemes if remote sensing of forest carbon is to achieve its promise.
NERC Open Research A... arrow_drop_down Repositório do INPAArticle . 2014License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bgd-11...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2014 . Peer-reviewedLicense: CC BYPublikationenserver der Georg-August-Universität GöttingenArticle . 2019Göttingen Research Online PublicationsArticle . 2019Data sources: Göttingen Research Online Publicationshttp://dx.doi.org/10.5194/bg-1...Article . Peer-reviewedData sources: European Union Open Data PortalThe University of Queensland: UQ eSpaceArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 129 citations 129 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down Repositório do INPAArticle . 2014License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bgd-11...Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationenserver der Georg-August-Universität GöttingenArticle . 2014 . Peer-reviewedLicense: CC BYPublikationenserver der Georg-August-Universität GöttingenArticle . 2019Göttingen Research Online PublicationsArticle . 2019Data sources: Göttingen Research Online Publicationshttp://dx.doi.org/10.5194/bg-1...Article . Peer-reviewedData sources: European Union Open Data PortalThe University of Queensland: UQ eSpaceArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)The University of Queensland: UQ eSpaceArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-11-6827-2014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018Embargo end date: 01 Nov 2018 Belgium, France, Brazil, France, France, Australia, Germany, Netherlands, Netherlands, Brazil, Australia, Australia, United Kingdom, France, France, France, Switzerland, United Kingdom, France, Australia, Italy, United KingdomPublisher:Wiley Emmanuel H. Martin; Verginia Wortel; Thomas E. Lovejoy; Narayanan Ayyappan; Narayanan Ayyappan; Roel J. W. Brienen; Georges Chuyong; Nigel C. A. Pitman; Nina Farwig; John Terborgh; John Terborgh; Ana Andrade; Narcisse Guy Kamdem; Rodolfo Vasque; Hans Beeckman; Paulus Matius; John R. Poulsen; Stephen P. Hubbell; Stephen P. Hubbell; Susan G. Laurance; Iêda Leão do Amaral; Juliana Stropp; Jérôme Chave; Simon L. Lewis; James R. Kellner; Thomas Duncan; Oliver L. Phillips; B.R. Ramesh; Germaine Alexander Parada Gutierrez; Martin J. P. Sullivan; Papi Puspa Warsudi; Connie J. Clark; Donatien Zebaze; Wannes Hubau; Hans Verbeeck; Eurídice N. Honorio Coronado; Tinde van Andel; Takeshi Toma; Renato Valencia; Luis Valenzuela; Andrew R. Marshall; Andrew R. Marshall; Hugo Romero Saltos; Samir Gonçalves Rolim; Ben Swanepoel; Jon Lloyd; Jon Lloyd; Jorcely Barroso; Laurent Descroix; Sebastian K. Herzog; Patricia Alvarez-Loyayza; Robin L. Chazdon; Marcos Silveira; Guido Pardo; David Harris; Olaf Bánki; Thalès de Haulleville; Thalès de Haulleville; Maxime Réjou-Méchain; Wilson Roberto Spironello; Luzmila Arroyo; Jean-Louis Doucet; Leandro Valle Ferreira; James Grogan; Ahimsa Campos-Arceiz; Hans ter Steege; Hans ter Steege; Pierre Ploton; David Kenfack; Koen Hufkens; Bonaventure Sonké; Priya Davidar; Adeline Fayolle; Pandi Vivek; Antonio Ferraz; Gauthier Ligot; David A. Neill; Vincent Droissart; Katrin Boehning-Gaese; Johanna Hurtado; Jan Bogaert; Elizabeth Kearsley; Krisna Gajapersad; Christine Fletcher; Nicolas Barbier; Denise Sasaki; Ervan Rutishauser; Beatriz Schwantes Marimon; Francis Q. Brearley; Javier Silva Espejo; Santiago Espinosa; Jean François Gillet; Benoît Cassart; Benoît Cassart; Christelle Gonmadje; Jean-François Bastin; Quentin Ponette; Charles De Cannière; Jean Claude Razafimahaimodison; Arafat S. Mtui; Luiz Marcelo Brum Rossi; Philippe Saner; Moses Libalah; Mireille Breuer-Ndoundou Hockemba; Michael Kessler; Bruno Hérault; Jason Vleminckx; Alejandro Araujo-Murakami; Aurélie Dourdain; Yves Laumonier; Victoria Meyer; Nicolas Labrière; Richard Condit; Ted R. Feldpausch; Robert Bitariho; James Singh; Marc P. E. Parren; Vincent A. Vos; Mark Schulze; David B. Clark; Yadvinder Malhi; Ben Hur Marimon Junior; J. Daniel Soto; Narayanaswamy Parthasarathy; Francesco Rovero; Casimero Mendoza Bautista; Fernando Cornejo Valverde; Ferry Slik; Abel Monteagudo-Mendoza; Roderick Zagt; Hilandia Brandão; Jürgen Homeier; Plinio Sist; Cintia Rodrigues de Souza; Celso Paulo de Azevedo; Pascal Boeckx; William F. Laurance; Sassan Saatchi; Nicolas Texier; Raphaël Pélissier; Albert Angbonga-Basia; Fabien Wagner; José Luís Camargo;AbstractAimLarge 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.LocationPan‐tropical.Time periodEarly 21st century.Major taxa studiedWoody plants.MethodsUsing 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.ResultsMeasuring 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 conclusionsOur 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.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021Full-Text: https://hdl.handle.net/10568/111872Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2018Full-Text: https://hal.science/hal-02102265Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2020e-space at Manchester Metropolitan UniversityArticle . 2018Data sources: e-space at Manchester Metropolitan UniversityInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Zurich Open Repository and ArchiveArticle . 2018 . Peer-reviewedData sources: Zurich Open Repository and ArchiveGlobal Ecology and BiogeographyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefGlobal Ecology and BiogeographyArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Flore (Florence Research Repository)Article . 2018Data sources: Flore (Florence Research Repository)Global Ecology and BiogeographyArticle . 2018James Cook University, Australia: ResearchOnline@JCUArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/geb.12803&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 82 citations 82 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021Full-Text: https://hdl.handle.net/10568/111872Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2018Full-Text: https://hal.science/hal-02102265Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2020e-space at Manchester Metropolitan UniversityArticle . 2018Data sources: e-space at Manchester Metropolitan UniversityInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)Zurich Open Repository and ArchiveArticle . 2018 . Peer-reviewedData sources: Zurich Open Repository and ArchiveGlobal Ecology and BiogeographyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefGlobal Ecology and BiogeographyArticle . 2018Data sources: DANS (Data Archiving and Networked Services)Flore (Florence Research Repository)Article . 2018Data sources: Flore (Florence Research Repository)Global Ecology and BiogeographyArticle . 2018James Cook University, Australia: ResearchOnline@JCUArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/geb.12803&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2025 United Kingdom, France, France, Italy, Netherlands, United Kingdom, United KingdomPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:UKRI | A Socio-Ecological Observ..., EC | AMAZALERT, NSF | Collaborative Research: L... +11 projectsUKRI| A Socio-Ecological Observatory for the Southern African Woodlands ,EC| AMAZALERT ,NSF| Collaborative Research: LTREB: A natural laboratory for studying biodiversity, ecosystem function, and responses to environmental change from Amazonian lowlands to Andean treeline ,EC| GEOCARBON ,EC| TreeMort ,UKRI| SECO: Resolving the current and future carbon dynamics of the dry tropics ,UKRI| Nordeste ,UKRI| Biodiversity and ecosystem functioning in degraded and recovering Amazonian and Atlantic forests ,UKRI| BIOmes of Brasil - Resilience, rEcovery, and Diversity: BIO-RED ,EC| T-FORCES ,UKRI| ARBOLES: A trait-based Understanding of LATAM Forest Biodiversity and Resilience ,UKRI| NI: Lightning in African tropical forests: from tree mortality to carbon dynamics ,UKRI| TREMOR: Mechanisms and consequences of increasing TREe MORtality in Amazonian rainforests ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICASullivan, Martin; Phillips, Oliver; Galbraith, David; Almeida, Everton; de Oliveira, Edmar; Almeida, Jarcilene; Dávila, Esteban; Alves, Luciana; Andrade, Ana; Aragão, Luiz; Araujo-Murakami, Alejandro; Arets, Eric; Arroyo, Luzmila; Cruz, Omar; Baccaro, Fabrício; Baker, Timothy; Banki, Olaf; Baraloto, Christopher; Barlow, Jos; Barroso, Jorcely; Berenguer, Erika; Blanc, Lilian; Blundo, Cecilia; Bonal, Damien; Bongers, Frans; Bordin, Kauane; Brienen, Roel; Broggio, Igor; Burban, Benoit; Cabral, George; Camargo, José; Cardoso, Domingos; Carniello, Maria; Castro, Wendeson; de Lima, Haroldo; Cavalheiro, Larissa; Ribeiro, Sabina; Ramos, Sonia; Moscoso, Victor; Chave, Jerôme; Coelho, Fernanda; Comiskey, James; Valverde, Fernando; Costa, Flávia; Coutinho, Italo; da Costa, Antonio; de Medeiros, Marcelo; del Aguila Pasquel, Jhon; Derroire, Géraldine; Dexter, Kyle; Disney, Mat; Do Espírito Santo, Mário; Domingues, Tomas; Dourdain, Aurélie; Duque, Alvaro; Rangel, Cristabel; Elias, Fernando; Esquivel-Muelbert, Adriane; Farfan-Rios, William; Fauset, Sophie; Feldpausch, Ted; Fernandes, G; Ferreira, Joice; Nunes, Yule; Figueiredo, João; Cabreara, Karina; Gonzalez, Roy; Hernández, Lionel; Herrera, Rafael; Honorio Coronado, Eurídice; Huasco, Walter; Iguatemy, Mariana; Joly, Carlos; Kalamandeen, Michelle; Killeen, Timothy; Klipel, Joice; Klitgaard, Bente; Laurance, Susan; Laurance, William; Levesley, Aurora; Lewis, Simon; Lima Dan, Maurício; Lopez-Gonzalez, Gabriela; Magnusson, William; Malhi, Yadvinder; Malizia, Lucio; Malizia, Augustina; Manzatto, Angelo; Peña, Jose; Marimon, Beatriz; Marimon Junior, Ben; Martínez-Villa, Johanna; Reis, Simone; Metzker, Thiago; Milliken, William; Monteagudo-Mendoza, Abel; Moonlight, Peter; Morandi, Paulo; Moser, Pamela; Müller, Sandra; Nascimento, Marcelo; Negreiros, Daniel; Lima, Adriano; Vargas, Percy; Oliveira, Washington; Palacios, Walter; Pallqui Camacho, Nadir; Gutierrez, Alexander; Pardo Molina, Guido; Pedra de Abreu, Karla; Peña-Claros, Marielos; Pena Rodrigues, Pablo; Pennington, R; Pickavance, Georgia; Pipoly, John; Pitman, Nigel; Playfair, Maureen; Pontes-Lopes, Aline; Poorter, Lourens; Prestes, Nayane; Ramírez-Angulo, Hirma; Réjou-Méchain, Maxime; Reynel Rodriguez, Carlos; Rivas-Torres, Gonzalo; Rodrigues, Priscyla; de Jesus Rodrigues, Domingos; de Sousa, Thaiane; Rodrigues Pinto, José; Rodriguez M, Gina; Roucoux, Katherine; Ruokolainen, Kalle; Ryan, Casey; Revilla, Norma; Salomão, Rafael; Santos, Rubens; Sarkinen, Tiina; Scabin, Andressa; Bergamin, Rodrigo; Schietti, Juliana; de Meira Junior, Milton; Serrano, Julio; Silman, Miles; Silva, Richarlly; Silva, Camila; Silva, Jhonathan; Silveira, Marcos; Simon, Marcelo; Soto-Shareva, Yahn; Souza, Priscila; Souza, Rodolfo; Sposito, Tereza; Talbot, Joey; ter Steege, Hans; Terborgh, John; Thomas, Raquel; Toledo, Marisol; Torres-Lezama, Armando; Trujillo, William; van der Hout, Peter; Veloso, Maria; Vieira, Simone; Vilanova, Emilio; Villalobos Cayo, Jeanneth; Villela, Dora; Viscarra, Laura; Vos, Vincent; Wortel, Verginia; Ishida, Francoise; Zuidema, Pieter; Zwerts, Joeri;Abstract Wood density is a critical control on tree biomass, so poor understanding of its spatial variation can lead to large and systematic errors in forest biomass estimates and carbon maps. The need to understand how and why wood density varies is especially critical in tropical America where forests have exceptional species diversity and spatial turnover in composition. As tree identity and forest composition are challenging to estimate remotely, ground surveys are essential to know the wood density of trees, whether measured directly or inferred from their identity. Here, we assemble an extensive dataset of variation in wood density across the most forested and tree-diverse continent, examine how it relates to spatial and environmental variables, and use these relationships to predict spatial variation in wood density over tropical and sub-tropical South America. Our analysis refines previously identified east-west Amazon gradients in wood density, improves them by revealing fine-scale variation, and extends predictions into Andean, dry, and Atlantic forests. The results halve biomass prediction errors compared to a naïve scenario with no knowledge of spatial variation in wood density. Our findings will help improve remote sensing-based estimates of aboveground biomass carbon stocks across tropical South America.
Archivio Istituziona... arrow_drop_down Oxford University Research ArchiveArticle . 2025License: CC BYData sources: Oxford University Research ArchiveWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2025 . Peer-reviewedData sources: St Andrews Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-025-56175-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Archivio Istituziona... arrow_drop_down Oxford University Research ArchiveArticle . 2025License: CC BYData sources: Oxford University Research ArchiveWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2025 . Peer-reviewedData sources: St Andrews Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41467-025-56175-4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 France, France, France, France, Netherlands, France, GermanyPublisher:Springer Science and Business Media LLC Funded by:ANR | 3DForModANR| 3DForModAuthors: Martin Herold; Stephane Momo Takoudjou; Stephane Momo Takoudjou; Jean-Baptiste Féret; +10 AuthorsMartin Herold; Stephane Momo Takoudjou; Stephane Momo Takoudjou; Jean-Baptiste Féret; Pierre Ploton; Jérôme Chave; Stéphane Mermoz; Maxime Réjou-Méchain; Florian de Boissieu; Pierre Couteron; Nicolas Barbier; Sassan Saatchi; Raphaël Pélissier; Grégoire Vincent;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.
GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2019Data sources: GFZ German Research Centre for GeosciencesCIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10712-019-09532-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 88 citations 88 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2019Data sources: GFZ German Research Centre for GeosciencesCIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10712-019-09532-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2019 FrancePublisher:Copernicus GmbH Funded by:ANR | 3DForModANR| 3DForModN. Jha; N. K. Tripathi; W. Chanthorn; W. Brockelman; A. Nathalang; A. Nathalang; R. Pélissier; S. Pimmasarn; P. Ploton; N. Sasaki; S. G. P. Virdis; M. Réjou-Méchain;Abstract. 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+.
Hyper Article en Lig... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.umontpellier.fr/hal-02404726Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-17-121-2020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 25 citations 25 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.umontpellier.fr/hal-02404726Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-17-121-2020&type=result"></script>'); --> </script>
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