Forest Resistance and Resilience to 2002 Drought in Northern China

被引：9

作者：

Li, Xiran ^{[1
]}

Yao, Yitong ^{[2
]}

Yin, Guodong ^{[3
]}

Peng, Feifei ^{[1
]}

Liu, Muxing ^{[1
]}

机构：

[1] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China

[2] Univ Paris Saclay, CEA CNRS UVSQ, LSCE IPSL, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France

[3] Beijing Normal Univ, Coll Water Sci, Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing 100875, Peoples R China

来源：

REMOTE SENSING | 2021年 / 13卷 / 15期

基金：

中国国家自然科学基金;

关键词：

drought; resistance; resilience; needleleaf forests; broadleaf forests; northern China; GROSS PRIMARY PRODUCTIVITY; TREE; CLIMATE; COVARIATION; PERFORMANCE; MODEL;

D O I：

10.3390/rs13152919

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

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), combined with remote sensing-based GPP and a vegetation index data (EVI), to analyze the spatial and temporal characteristics of resistance and resilience of DNF and DBF in northern China during and after the 2002 drought. The results showed that the DBFs were more acclimatized to the drought, while the resistance and resilience of DNF and DBF were diverse under different consecutive drought events. These results could be suggestive for forest conservation and vegetation modeling.

引用

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