The detection and attribution of extreme reductions in vegetation growth across the global land surface

Detalhes bibliográficos
Autor(a) principal: Yang, Hui
Data de Publicação: 2023
Outros Autores: Munson, Seth M., Huntingford, Chris, Carvalhais, Nuno, Knapp, Alan K., Li, Xiangyi, Peñuelas, Josep, Zscheischler, Jakob, Chen, Anping
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/158089
Resumo: Funding Information: This study was supported by the National Natural Science Foundation of China (grant number 41988101), the U.S. Department of Energy (grant number DE-SC0022074), and the German Federal Ministry of Economics and Technology (grant number 50EE1904). S.M.M. was supported by the USGS Ecosystems Mission Area. C.H. was supported by the NERC National Capability award to UKCEH. J.P. was supported by the grant TED2021-132627B-I00 funded by MCIN, AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. Any use of trade, product, or firm names in this paper is for descriptive purposes only and does not imply endorsement by the U.S. Government. Funding Information: This study was supported by the National Natural Science Foundation of China (grant number 41988101), the U.S. Department of Energy (grant number DE‐SC0022074), and the German Federal Ministry of Economics and Technology (grant number 50EE1904). S.M.M. was supported by the USGS Ecosystems Mission Area. C.H. was supported by the NERC National Capability award to UKCEH. J.P. was supported by the grant TED2021‐132627B‐I00 funded by MCIN, AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. Any use of trade, product, or firm names in this paper is for descriptive purposes only and does not imply endorsement by the U.S. Government. Publisher Copyright: © 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
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spelling The detection and attribution of extreme reductions in vegetation growth across the global land surfaceclimate extremescoincidence analysisdroughtfloodfrostheatwavevegetation growth anomalyGlobal and Planetary ChangeEnvironmental ChemistryEcologyEnvironmental Science(all)SDG 13 - Climate ActionSDG 15 - Life on LandFunding Information: This study was supported by the National Natural Science Foundation of China (grant number 41988101), the U.S. Department of Energy (grant number DE-SC0022074), and the German Federal Ministry of Economics and Technology (grant number 50EE1904). S.M.M. was supported by the USGS Ecosystems Mission Area. C.H. was supported by the NERC National Capability award to UKCEH. J.P. was supported by the grant TED2021-132627B-I00 funded by MCIN, AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. Any use of trade, product, or firm names in this paper is for descriptive purposes only and does not imply endorsement by the U.S. Government. Funding Information: This study was supported by the National Natural Science Foundation of China (grant number 41988101), the U.S. Department of Energy (grant number DE‐SC0022074), and the German Federal Ministry of Economics and Technology (grant number 50EE1904). S.M.M. was supported by the USGS Ecosystems Mission Area. C.H. was supported by the NERC National Capability award to UKCEH. J.P. was supported by the grant TED2021‐132627B‐I00 funded by MCIN, AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. Any use of trade, product, or firm names in this paper is for descriptive purposes only and does not imply endorsement by the U.S. Government. Publisher Copyright: © 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd.Negative extreme anomalies in vegetation growth (NEGs) usually indicate severely impaired ecosystem services. These NEGs can result from diverse natural and anthropogenic causes, especially climate extremes (CEs). However, the relationship between NEGs and many types of CEs remains largely unknown at regional and global scales. Here, with satellite-derived vegetation index data and supporting tree-ring chronologies, we identify periods of NEGs from 1981 to 2015 across the global land surface. We find 70% of these NEGs are attributable to five types of CEs and their combinations, with compound CEs generally more detrimental than individual ones. More importantly, we find that dominant CEs for NEGs vary by biome and region. Specifically, cold and/or wet extremes dominate NEGs in temperate mountains and high latitudes, whereas soil drought and related compound extremes are primarily responsible for NEGs in wet tropical, arid and semi-arid regions. Key characteristics (e.g., the frequency, intensity and duration of CEs, and the vulnerability of vegetation) that determine the dominance of CEs are also region- and biome-dependent. For example, in the wet tropics, dominant individual CEs have both higher intensity and longer duration than non-dominant ones. However, in the dry tropics and some temperate regions, a longer CE duration is more important than higher intensity. Our work provides the first global accounting of the attribution of NEGs to diverse climatic extremes. Our analysis has important implications for developing climate-specific disaster prevention and mitigation plans among different regions of the globe in a changing climate.DCEA - Departamento de Ciências e Engenharia do AmbienteRUNYang, HuiMunson, Seth M.Huntingford, ChrisCarvalhais, NunoKnapp, Alan K.Li, XiangyiPeñuelas, JosepZscheischler, JakobChen, Anping2023-09-21T22:14:46Z2023-042023-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfhttp://hdl.handle.net/10362/158089eng1354-1013PURE: 72085207https://doi.org/10.1111/gcb.16595info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:40:22Zoai:run.unl.pt:10362/158089Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:56:58.682027Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The detection and attribution of extreme reductions in vegetation growth across the global land surface
title The detection and attribution of extreme reductions in vegetation growth across the global land surface
spellingShingle The detection and attribution of extreme reductions in vegetation growth across the global land surface
Yang, Hui
climate extremes
coincidence analysis
drought
flood
frost
heatwave
vegetation growth anomaly
Global and Planetary Change
Environmental Chemistry
Ecology
Environmental Science(all)
SDG 13 - Climate Action
SDG 15 - Life on Land
title_short The detection and attribution of extreme reductions in vegetation growth across the global land surface
title_full The detection and attribution of extreme reductions in vegetation growth across the global land surface
title_fullStr The detection and attribution of extreme reductions in vegetation growth across the global land surface
title_full_unstemmed The detection and attribution of extreme reductions in vegetation growth across the global land surface
title_sort The detection and attribution of extreme reductions in vegetation growth across the global land surface
author Yang, Hui
author_facet Yang, Hui
Munson, Seth M.
Huntingford, Chris
Carvalhais, Nuno
Knapp, Alan K.
Li, Xiangyi
Peñuelas, Josep
Zscheischler, Jakob
Chen, Anping
author_role author
author2 Munson, Seth M.
Huntingford, Chris
Carvalhais, Nuno
Knapp, Alan K.
Li, Xiangyi
Peñuelas, Josep
Zscheischler, Jakob
Chen, Anping
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv DCEA - Departamento de Ciências e Engenharia do Ambiente
RUN
dc.contributor.author.fl_str_mv Yang, Hui
Munson, Seth M.
Huntingford, Chris
Carvalhais, Nuno
Knapp, Alan K.
Li, Xiangyi
Peñuelas, Josep
Zscheischler, Jakob
Chen, Anping
dc.subject.por.fl_str_mv climate extremes
coincidence analysis
drought
flood
frost
heatwave
vegetation growth anomaly
Global and Planetary Change
Environmental Chemistry
Ecology
Environmental Science(all)
SDG 13 - Climate Action
SDG 15 - Life on Land
topic climate extremes
coincidence analysis
drought
flood
frost
heatwave
vegetation growth anomaly
Global and Planetary Change
Environmental Chemistry
Ecology
Environmental Science(all)
SDG 13 - Climate Action
SDG 15 - Life on Land
description Funding Information: This study was supported by the National Natural Science Foundation of China (grant number 41988101), the U.S. Department of Energy (grant number DE-SC0022074), and the German Federal Ministry of Economics and Technology (grant number 50EE1904). S.M.M. was supported by the USGS Ecosystems Mission Area. C.H. was supported by the NERC National Capability award to UKCEH. J.P. was supported by the grant TED2021-132627B-I00 funded by MCIN, AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. Any use of trade, product, or firm names in this paper is for descriptive purposes only and does not imply endorsement by the U.S. Government. Funding Information: This study was supported by the National Natural Science Foundation of China (grant number 41988101), the U.S. Department of Energy (grant number DE‐SC0022074), and the German Federal Ministry of Economics and Technology (grant number 50EE1904). S.M.M. was supported by the USGS Ecosystems Mission Area. C.H. was supported by the NERC National Capability award to UKCEH. J.P. was supported by the grant TED2021‐132627B‐I00 funded by MCIN, AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. Any use of trade, product, or firm names in this paper is for descriptive purposes only and does not imply endorsement by the U.S. Government. Publisher Copyright: © 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
publishDate 2023
dc.date.none.fl_str_mv 2023-09-21T22:14:46Z
2023-04
2023-04-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/158089
url http://hdl.handle.net/10362/158089
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1354-1013
PURE: 72085207
https://doi.org/10.1111/gcb.16595
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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