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基于实地的树木死亡率限制降低了模型预测的森林碳汇估计值。

Field-based tree mortality constraint reduces estimates of model-projected forest carbon sinks.

机构信息

Le Laboratoire des Sciences du Climat et de l'Environnement, IPSL-LSCECEA/CNRS/UVSQ Saclay, Gif-sur-Yvette, France.

Department of Ecosystem and Conservation Sciences, University of Montana, Missoula, USA.

出版信息

Nat Commun. 2022 Apr 19;13(1):2094. doi: 10.1038/s41467-022-29619-4.

DOI:10.1038/s41467-022-29619-4
PMID:35440564
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9018757/
Abstract

Considerable uncertainty and debate exist in projecting the future capacity of forests to sequester atmospheric CO. Here we estimate spatially explicit patterns of biomass loss by tree mortality (LOSS) from largely unmanaged forest plots to constrain projected (2015-2099) net primary productivity (NPP), heterotrophic respiration (HR) and net carbon sink in six dynamic global vegetation models (DGVMs) across continents. This approach relies on a strong relationship among LOSS, NPP, and HR at continental or biome scales. The DGVMs overestimated historical LOSS, particularly in tropical regions and eastern North America by as much as 5 Mg ha y. The modeled spread of DGVM-projected NPP and HR uncertainties was substantially reduced in tropical regions after incorporating the field-based mortality constraint. The observation-constrained models show a decrease in the tropical forest carbon sink by the end of the century, particularly across South America (from 2 to 1.4 PgC y), and an increase in the sink in North America (from 0.8 to 1.1 PgC y). These results highlight the feasibility of using forest demographic data to empirically constrain forest carbon sink projections and the potential overestimation of projected tropical forest carbon sinks.

摘要

在预测森林未来吸收大气 CO2 的能力方面存在着相当大的不确定性和争议。在这里,我们根据主要未受管理的森林样地的树木死亡率估算出生物量损失(LOSS)的空间明确模式,以限制六个跨大陆动态全球植被模型(DGVM)中预计(2015-2099 年)的净初级生产力(NPP)、异养呼吸(HR)和净碳汇。这种方法依赖于 LOSS、NPP 和 HR 之间在大陆或生物群落尺度上的紧密关系。DGVM 高估了历史 LOSS,特别是在热带地区和北美东部,最多高估了 5 Mg ha y。在将基于观测的死亡率约束纳入后,模型预测的 NPP 和 HR 不确定性的范围在热带地区大大缩小。受观测约束的模型表明,到本世纪末,热带森林碳汇将会减少,特别是在南美洲(从 2 到 1.4 PgC y),而北美的碳汇将会增加(从 0.8 到 1.1 PgC y)。这些结果突出了使用森林人口统计数据来经验性地限制森林碳汇预测以及高估预计热带森林碳汇的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5597/9018757/8ac0d1667f8a/41467_2022_29619_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5597/9018757/dccab32e3ca4/41467_2022_29619_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5597/9018757/2921103dd808/41467_2022_29619_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5597/9018757/1e56e1dd0276/41467_2022_29619_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5597/9018757/8ac0d1667f8a/41467_2022_29619_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5597/9018757/dccab32e3ca4/41467_2022_29619_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5597/9018757/2921103dd808/41467_2022_29619_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5597/9018757/1e56e1dd0276/41467_2022_29619_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5597/9018757/8ac0d1667f8a/41467_2022_29619_Fig4_HTML.jpg

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