Understanding Disturbance Regimes From Patterns in Modeled Forest Biomass

Bibliographic Details
Main Author: Wang, Siyuan
Publication Date: 2024
Other Authors: Yang, Hui, Koirala, Sujan, Forkel, Matthias, Reichstein, Markus, Carvalhais, Nuno
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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spelling 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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url http://hdl.handle.net/10362/172618
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1942-2466
PURE: 99834886
https://doi.org/10.1029/2023MS004099
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