Recent greening of grasslands in northern China driven by increasing precipitation

被引：8

作者：

Di, Kai ^{[1
]}

Hu, Zhongmin ^{[1
]}

Wang, Mei ^{[1
]}

Cao, Ruochen ^{[1
]}

Liang, Minqi ^{[1
]}

Wu, Genan ^{[2
,3
]}

Chen, Ruru ^{[2
,3
]}

Hao, Guangcun ^{[4
,5
]}

Zhao, Yaolong ^{[1
]}

机构：

[1] South China Normal Univ, Sch Geog, Shipai Campus, Guangzhou 510631, Peoples R China

[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Synth Res Ctr Chinese Ecosyst Res Network, Beijing 100101, Peoples R China

[3] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100101, Peoples R China

[4] Fourth Harbor Engn Inst Co Ltd, China Commun Construct Co Ltd, Guangzhou 510230, Peoples R China

[5] China Commun Construct Co Ltd, Key Lab Environm Protect & Safety Commun Fdn Engn, Guangzhou 510230, Peoples R China

来源：

JOURNAL OF PLANT ECOLOGY | 2021年 / 14卷 / 05期

基金：

中国国家自然科学基金;

关键词：

plant growth; temporal dynamics; turning point; trend change; climate change; INNER-MONGOLIA; VEGETATION DYNAMICS; CLIMATE CHANGES; ARID REGION; NDVI; GROWTH; RESPONSES; TEMPERATURE;

D O I：

10.1093/jpe/rtab036

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

Aims Recent warmer and wetter climate in northern China remains a hot topic in recent years, yet its effect on vegetation growth has not been fully understood. This study investigated the temporal change of vegetation cover and its correlations with climatic variables from 1982 to 2018 for grasslands in northern China. Our aim is to clarify whether the warmer and wetter climate in recent years drives the greening of the vegetation in this region. Methods We investigated the temporal dynamic of vegetation normalized difference vegetation index (NDVI) and its driving forces based on long time-series data. Piecewise regression was used to examine whether there was a turning point of the trend of NDVI and climatic variables. Pearson correlation analyses were conducted to quantify the relationship between NDVI and climatic factors. Stepwise multivariable regression was used to quantify the contributions of climate variables to the temporal variations in NDVI. Important Findings We found a turning point of NDVI trend in 2008, with GIMMS NDVI indicating a slight increase of 0.00022 yr(-1) during 1982-2008 to an increase of 0.002 yr(-1) for GIMMS NDVI during 2008-2015 and 0.0018 yr(-1) for MODIS NDVI during 2008-2018. Precipitation was the predominant driver, and air temperature and vapor pressure deficit exerted a minor impact on the temporal dynamics of NDVI. Overall, our results suggest a turning point of NDVI trend, and that recent warmer and wetter climate has caused vegetation greening, which provides insights for better predicting the vegetation cover in this region under changing climate.

引用

页码：843 / 853

页数：11