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Implications of the steady-state assumption for the global vegetation carbon turnover
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Orientador(es)
Resumo(s)
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
Palavras-chave
remote sensing steady state assumption vegetation carbon stock vegetation carbon turnover time Renewable Energy, Sustainability and the Environment General Environmental Science Public Health, Environmental and Occupational Health SDG 3 - Good Health and Well-being SDG 7 - Affordable and Clean Energy SDG 15 - Life on Land