Towards a global understanding of vegetation-climate dynamics at multiple timescales

Detalhes bibliográficos
Autor(a) principal: Linscheid, Nora
Data de Publicação: 2020
Outros Autores: Estupinan-Suarez, Lina M., Brenning, Alexander, Carvalhais, Nuno, Cremer, Felix, Gans, Fabian, Rammig, Anja, Reichstein, Markus, Sierra, Carlos A., Mahecha, Miguel D.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/119332
Resumo: Funding Information: Acknowledgements. This paper has been realized within the Earth System Data Lab project funded by the European Space Agency. The authors acknowledge Lina Fürst for initiation of the preliminary study laying the foundation for this project. The authors acknowledge support from Ulrich Weber for data management and preprocessing. Lina M. Estupinan-Suarez acknowledges the support of the DAAD and its Graduate School Scholarship Programme (57395813). Nora Linscheid acknowledges the support of the TUM Graduate School. Lina M. Estupinan-Suarez and Nora Linscheid acknowledge the continuous support of the International Max Planck Research School for Global Biogeochemical Cycles. Felix Cre-mer acknowledges the support of the German Research Foundation project HyperSense (grant no. TH 1435/4-1). Publisher Copyright: © Author(s) 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
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spelling Towards a global understanding of vegetation-climate dynamics at multiple timescalesEcology, Evolution, Behavior and SystematicsEarth-Surface ProcessesSDG 13 - Climate ActionSDG 15 - Life on LandFunding Information: Acknowledgements. This paper has been realized within the Earth System Data Lab project funded by the European Space Agency. The authors acknowledge Lina Fürst for initiation of the preliminary study laying the foundation for this project. The authors acknowledge support from Ulrich Weber for data management and preprocessing. Lina M. Estupinan-Suarez acknowledges the support of the DAAD and its Graduate School Scholarship Programme (57395813). Nora Linscheid acknowledges the support of the TUM Graduate School. Lina M. Estupinan-Suarez and Nora Linscheid acknowledge the continuous support of the International Max Planck Research School for Global Biogeochemical Cycles. Felix Cre-mer acknowledges the support of the German Research Foundation project HyperSense (grant no. TH 1435/4-1). Publisher Copyright: © Author(s) 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.Climate variables carry signatures of variability at multiple timescales. How these modes of variability are reflected in the state of the terrestrial biosphere is still not quantified or discussed at the global scale. Here, we set out to gain a global understanding of the relevance of different modes of variability in vegetation greenness and its covariability with climate. We used > 30 years of remote sensing records of the normalized difference vegetation index (NDVI) to characterize biosphere variability across timescales from submonthly oscillations to decadal trends using discrete Fourier decomposition. Climate data of air temperature (Tair) and precipitation (Prec) were used to characterize atmosphere-biosphere covariability at each timescale. Our results show that short-term (intra-annual) and longerterm (interannual and longer) modes of variability make regionally highly important contributions to NDVI variability: short-term oscillations focus in the tropics where they shape 27% of NDVI variability. Longer-term oscillations shape 9% of NDVI variability, dominantly in semiarid shrublands. Assessing dominant timescales of vegetation-climate covariation, a natural surface classification emerges which captures patterns not represented by conventional classifications, especially in the tropics. Finally, we find that correlations between variables can differ and even invert signs across timescales. For southern Africa for example, correlation between NDVI and Tair is positive for the seasonal signal but negative for short-term and longer-term oscillations, indicating that both short- and long-term temperature anomalies can induce stress on vegetation dynamics. Such contrasting correlations between timescales exist for 15% of vegetated areas for NDVI with Tair and 27% with Prec, indicating global relevance of scale-specific climate sensitivities. Our analysis provides a detailed picture of vegetation-climate covariability globally, characterizing ecosystems by their intrinsic modes of temporal variability. We find that (i) correlations of NDVI with climate can differ between scales, (ii) nondominant subsignals in climate variables may dominate the biospheric response, and (iii) possible links may exist between short-term and longer-term scales. These heterogeneous ecosystem responses on different timescales may depend on climate zone and vegetation type, and they are to date not well understood and do not always correspond to transitions in dominant vegetation types. These scale dependencies can be a benchmark for vegetation model evaluation and for comparing remote sensing products.CENSE - Centro de Investigação em Ambiente e SustentabilidadeDCEA - Departamento de Ciências e Engenharia do AmbienteRUNLinscheid, NoraEstupinan-Suarez, Lina M.Brenning, AlexanderCarvalhais, NunoCremer, FelixGans, FabianRammig, AnjaReichstein, MarkusSierra, Carlos A.Mahecha, Miguel D.2021-06-15T22:21:40Z2020-02-242020-02-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article18application/pdfhttp://hdl.handle.net/10362/119332eng1726-4170PURE: 31973433https://doi.org/10.5194/bg-17-945-2020info: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:RCAAP2024-03-11T05:01:52Zoai:run.unl.pt:10362/119332Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:02.417942Repositório 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 Towards a global understanding of vegetation-climate dynamics at multiple timescales
title Towards a global understanding of vegetation-climate dynamics at multiple timescales
spellingShingle Towards a global understanding of vegetation-climate dynamics at multiple timescales
Linscheid, Nora
Ecology, Evolution, Behavior and Systematics
Earth-Surface Processes
SDG 13 - Climate Action
SDG 15 - Life on Land
title_short Towards a global understanding of vegetation-climate dynamics at multiple timescales
title_full Towards a global understanding of vegetation-climate dynamics at multiple timescales
title_fullStr Towards a global understanding of vegetation-climate dynamics at multiple timescales
title_full_unstemmed Towards a global understanding of vegetation-climate dynamics at multiple timescales
title_sort Towards a global understanding of vegetation-climate dynamics at multiple timescales
author Linscheid, Nora
author_facet Linscheid, Nora
Estupinan-Suarez, Lina M.
Brenning, Alexander
Carvalhais, Nuno
Cremer, Felix
Gans, Fabian
Rammig, Anja
Reichstein, Markus
Sierra, Carlos A.
Mahecha, Miguel D.
author_role author
author2 Estupinan-Suarez, Lina M.
Brenning, Alexander
Carvalhais, Nuno
Cremer, Felix
Gans, Fabian
Rammig, Anja
Reichstein, Markus
Sierra, Carlos A.
Mahecha, Miguel D.
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv CENSE - Centro de Investigação em Ambiente e Sustentabilidade
DCEA - Departamento de Ciências e Engenharia do Ambiente
RUN
dc.contributor.author.fl_str_mv Linscheid, Nora
Estupinan-Suarez, Lina M.
Brenning, Alexander
Carvalhais, Nuno
Cremer, Felix
Gans, Fabian
Rammig, Anja
Reichstein, Markus
Sierra, Carlos A.
Mahecha, Miguel D.
dc.subject.por.fl_str_mv Ecology, Evolution, Behavior and Systematics
Earth-Surface Processes
SDG 13 - Climate Action
SDG 15 - Life on Land
topic Ecology, Evolution, Behavior and Systematics
Earth-Surface Processes
SDG 13 - Climate Action
SDG 15 - Life on Land
description Funding Information: Acknowledgements. This paper has been realized within the Earth System Data Lab project funded by the European Space Agency. The authors acknowledge Lina Fürst for initiation of the preliminary study laying the foundation for this project. The authors acknowledge support from Ulrich Weber for data management and preprocessing. Lina M. Estupinan-Suarez acknowledges the support of the DAAD and its Graduate School Scholarship Programme (57395813). Nora Linscheid acknowledges the support of the TUM Graduate School. Lina M. Estupinan-Suarez and Nora Linscheid acknowledge the continuous support of the International Max Planck Research School for Global Biogeochemical Cycles. Felix Cre-mer acknowledges the support of the German Research Foundation project HyperSense (grant no. TH 1435/4-1). Publisher Copyright: © Author(s) 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
publishDate 2020
dc.date.none.fl_str_mv 2020-02-24
2020-02-24T00:00:00Z
2021-06-15T22:21:40Z
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/10362/119332
url http://hdl.handle.net/10362/119332
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1726-4170
PURE: 31973433
https://doi.org/10.5194/bg-17-945-2020
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 18
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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