Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass
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Publication Date: | 2024 |
Other Authors: | , , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10362/172618 |
Summary: | Funding Information: The authors express their gratitude to the Associate Editor and two anonymous Reviewers for their constructive feedback on a first version of the manuscript. SW acknowledges support from the International Max Planck Research School for Biogeochemical Cycles (IMPRS\u2010gBGC). SW and HY acknowledge EEBIOMASS, Project Office BIOMASS, support from the German Federal Ministry of Economics and Technology (50EE1904). Open Access funding enabled and organized by Projekt DEAL. Publisher Copyright: © 2024 The Authors. Journal of Advances in Modeling Earth Systems published by Wiley Periodicals LLC on behalf of American Geophysical Union. |
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Understanding Disturbance Regimes From Patterns in Modeled Forest Biomassbiomasscarbon cycle dynamicsdisturbance regimeforest mortalitygap dynamicsGlobal and Planetary ChangeEnvironmental ChemistryEarth and Planetary Sciences(all)SDG 13 - Climate ActionFunding Information: The authors express their gratitude to the Associate Editor and two anonymous Reviewers for their constructive feedback on a first version of the manuscript. SW acknowledges support from the International Max Planck Research School for Biogeochemical Cycles (IMPRS\u2010gBGC). SW and HY acknowledge EEBIOMASS, Project Office BIOMASS, support from the German Federal Ministry of Economics and Technology (50EE1904). Open Access funding enabled and organized by Projekt DEAL. Publisher Copyright: © 2024 The Authors. Journal of Advances in Modeling Earth Systems published by Wiley Periodicals LLC on behalf of American Geophysical Union.Natural and anthropogenic disturbances are important drivers of tree mortality, shaping the structure, composition, and biomass distribution of forest ecosystems. Differences in disturbance regimes, characterized by the frequency, extent, and intensity of disturbance events, result in structurally different landscapes. In this study, we design a model-based experiment to investigate the links between disturbance regimes and spatial biomass patterns. First, the effects of disturbance events on biomass patterns are simulated using a simple dynamic carbon cycle model based on different disturbance regime attributes, which are characterized via three parameters: μ (probability scale), α (clustering degree), and β (intensity slope). 856,800 dynamically stable biomass patterns were then simulated using combined disturbance regime, primary productivity, and background mortality. As independent variables, we use biomass synthesis statistics from simulated biomass patterns to retrieve three disturbance regime parameters. Results show confident inversion of all three “true” disturbance parameters, with Nash-Sutcliffe efficiency of 94.8% for μ, 94.9% for α, and 97.1% for β. Biomass histogram statistics primarily dominate the prediction of μ and β, while texture features have a more substantial influence on α. Overall, these results demonstrate the association between biomass patterns and disturbance regimes. Given the increasing availability of Earth observation of biomass, our findings open a new avenue to understand better and parameterize disturbance regimes and their links with vegetation dynamics under climate change. Ultimately, at a large scale, this approach would improve our current understanding of controls and feedback at the biosphere-atmosphere interface in the present Earth system models.DCEA - Departamento de Ciências e Engenharia do AmbienteRUNWang, SiyuanYang, HuiKoirala, SujanForkel, MatthiasReichstein, MarkusCarvalhais, Nuno2024-09-28T22:21:36Z2024-062024-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article19application/pdfhttp://hdl.handle.net/10362/172618eng1942-2466PURE: 99834886https://doi.org/10.1029/2023MS004099info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-10-07T01:38:07Zoai:run.unl.pt:10362/172618Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:54:32.102727Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass |
title |
Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass |
spellingShingle |
Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass Wang, Siyuan biomass carbon cycle dynamics disturbance regime forest mortality gap dynamics Global and Planetary Change Environmental Chemistry Earth and Planetary Sciences(all) SDG 13 - Climate Action |
title_short |
Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass |
title_full |
Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass |
title_fullStr |
Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass |
title_full_unstemmed |
Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass |
title_sort |
Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass |
author |
Wang, Siyuan |
author_facet |
Wang, Siyuan Yang, Hui Koirala, Sujan Forkel, Matthias Reichstein, Markus Carvalhais, Nuno |
author_role |
author |
author2 |
Yang, Hui Koirala, Sujan Forkel, Matthias Reichstein, Markus Carvalhais, Nuno |
author2_role |
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 |
Wang, Siyuan Yang, Hui Koirala, Sujan Forkel, Matthias Reichstein, Markus Carvalhais, Nuno |
dc.subject.por.fl_str_mv |
biomass carbon cycle dynamics disturbance regime forest mortality gap dynamics Global and Planetary Change Environmental Chemistry Earth and Planetary Sciences(all) SDG 13 - Climate Action |
topic |
biomass carbon cycle dynamics disturbance regime forest mortality gap dynamics Global and Planetary Change Environmental Chemistry Earth and Planetary Sciences(all) SDG 13 - Climate Action |
description |
Funding Information: The authors express their gratitude to the Associate Editor and two anonymous Reviewers for their constructive feedback on a first version of the manuscript. SW acknowledges support from the International Max Planck Research School for Biogeochemical Cycles (IMPRS\u2010gBGC). SW and HY acknowledge EEBIOMASS, Project Office BIOMASS, support from the German Federal Ministry of Economics and Technology (50EE1904). Open Access funding enabled and organized by Projekt DEAL. Publisher Copyright: © 2024 The Authors. Journal of Advances in Modeling Earth Systems published by Wiley Periodicals LLC on behalf of American Geophysical Union. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-09-28T22:21:36Z 2024-06 2024-06-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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http://hdl.handle.net/10362/172618 |
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http://hdl.handle.net/10362/172618 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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1942-2466 PURE: 99834886 https://doi.org/10.1029/2023MS004099 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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19 application/pdf |
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