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一个描绘植被覆盖变化潜在生物物理效应的数据集。

A dataset mapping the potential biophysical effects of vegetation cover change.

作者信息

Duveiller Gregory, Hooker Josh, Cescatti Alessandro

机构信息

European Commission Joint Research Centre, Directorate D-Sustainable Resources-Bio-Economy Unit, I - 21027 Ispra (VA), Italy.

出版信息

Sci Data. 2018 Feb 20;5:180014. doi: 10.1038/sdata.2018.14.

DOI:10.1038/sdata.2018.14
PMID:29461538
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5819485/
Abstract

Changing the vegetation cover of the Earth has impacts on the biophysical properties of the surface and ultimately on the local climate. Depending on the specific type of vegetation change and on the background climate, the resulting competing biophysical processes can have a net warming or cooling effect, which can further vary both spatially and seasonally. Due to uncertain climate impacts and the lack of robust observations, biophysical effects are not yet considered in land-based climate policies. Here we present a dataset based on satellite remote sensing observations that provides the potential changes i) of the full surface energy balance, ii) at global scale, and iii) for multiple vegetation transitions, as would now be required for the comprehensive evaluation of land based mitigation plans. We anticipate that this dataset will provide valuable information to benchmark Earth system models, to assess future scenarios of land cover change and to develop the monitoring, reporting and verification guidelines required for the implementation of mitigation plans that account for biophysical land processes.

摘要

改变地球植被覆盖会对地表生物物理特性产生影响,并最终影响当地气候。根据植被变化的具体类型和背景气候,由此产生的相互竞争的生物物理过程可能会产生净变暖或冷却效应,这种效应在空间和季节上也会有所不同。由于气候影响存在不确定性且缺乏可靠观测,基于陆地的气候政策尚未考虑生物物理效应。在此,我们展示了一个基于卫星遥感观测的数据集,该数据集提供了以下潜在变化:i)整个地表能量平衡的变化;ii)全球尺度的变化;iii)多种植被转变的变化,这些变化是全面评估基于陆地的减排计划目前所需要的。我们预计,该数据集将为基准地球系统模型提供有价值的信息,以评估未来土地覆盖变化情景,并制定实施考虑生物物理陆地过程的减排计划所需的监测、报告和核实指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c74b/5819485/0011c85d12ff/sdata201814-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c74b/5819485/a4ff9aaadf63/sdata201814-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c74b/5819485/d7f7dd07ba93/sdata201814-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c74b/5819485/40d823abe7ef/sdata201814-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c74b/5819485/21ea9b917dc0/sdata201814-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c74b/5819485/0011c85d12ff/sdata201814-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c74b/5819485/a4ff9aaadf63/sdata201814-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c74b/5819485/d7f7dd07ba93/sdata201814-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c74b/5819485/40d823abe7ef/sdata201814-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c74b/5819485/21ea9b917dc0/sdata201814-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c74b/5819485/0011c85d12ff/sdata201814-f5.jpg

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