Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/163975
Título: Implications of the steady-state assumption for the global vegetation carbon turnover
Autor: Fan, Naixin
Santoro, Maurizio
Besnard, Simon
Cartus, Oliver
Koirala, Sujan
Carvalhais, Nuno
Palavras-chave: remote sensing
steady state assumption
vegetation carbon stock
vegetation carbon turnover time
Renewable Energy, Sustainability and the Environment
Environmental Science(all)
Public Health, Environmental and Occupational Health
SDG 3 - Good Health and Well-being
SDG 7 - Affordable and Clean Energy
SDG 15 - Life on Land
Data: 1-Out-2023
Resumo: Vegetation carbon turnover time (τ) is a central ecosystem property to quantify the global vegetation carbon dynamics. However, our understanding of vegetation dynamics is hampered by the lack of long-term observations of the changes in vegetation biomass. Here we challenge the steady state assumption of τ by using annual changes in vegetation biomass that derived from remote-sensing observations. We evaluate the changes in magnitude, spatial patterns, and uncertainties in vegetation carbon turnover times from 1992 to 2016. We found the robustness in the steady state assumption for forest ecosystems at large spatial scales, contrasting with local larger differences at the grid cell level between τ under steady state and τ under non-steady state conditions. The observation that terrestrial ecosystems are not in a steady state locally is deemed crucial when studying vegetation dynamics and the potential response of biomass to disturbance and climatic changes.
Descrição: Funding Information: N F, M S and O C acknowledges support from the BIOMASCAT project (ESA contract 4000115192/18/I/NB). N F acknowledges support from the International Max Planck Research School for Biogeochemical Cycles (IMPRS-gBGC). S K acknowledges support from the CRESCENDO Project of the European Union’s Horizon 2020 Framework Programme (Grant Agreement No. 641816). Publisher Copyright: © 2023 The Author(s). Published by IOP Publishing Ltd
Peer review: yes
URI: http://hdl.handle.net/10362/163975
DOI: https://doi.org/10.1088/1748-9326/acfb22
ISSN: 1748-9318
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