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Forest Resistance and Resilience to 2002 Drought in Northern China

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成果类型:
期刊论文
作者:
Li, Xiran;Yao, Yitong;Yin, Guodong;Peng, Feifei;Liu, Muxing
作者机构:
[Peng, Feifei; Liu, Muxing; Li, Xiran] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
[Yao, Yitong] Univ Paris Saclay, CEA CNRS UVSQ, LSCE IPSL, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France.
[Yin, Guodong] Beijing Normal Univ, Coll Water Sci, Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing 100875, Peoples R China.
语种:
英文
关键词:
drought;resistance;resilience;needleleaf forests;broadleaf forests;northern China
期刊:
Remote Sensing
ISSN:
2072-4292
年:
2021
卷:
13
期:
15
基金类别:
National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [41901112]; Natural Science Foundation of Hubei Province of ChinaNatural Science Foundation of Hubei Province [ZRMS2019002066]
机构署名:
本校为第一机构
院系归属:
城市与环境科学学院
摘要:
Drought can weaken forest activity and even lead to forest mortality, and the response of different forest types to drought can be diverse. Deciduous broadleaf forest (DBF) and deciduous needleleaf forest (DNF) are two of the majority forest types in northern China. In this region, a severe drought event happened in 2002. However, due to the lack of data, the spatio-temporal characteristics of the ecosystem stability of different forest types here remain unclear. In this study, we used a machine learning approach (model tree ensemble, MTE) to drive fluxsite gross primary productivity (GPP), co...

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