Arid
DOI10.3390/rs13071230
Vegetation Change and Its Response to Climate Extremes in the Arid Region of Northwest China
Wang, Simeng; Liu, Qihang; Huang, Chang
通讯作者Huang, C (corresponding author), Northwest Univ, Shaanxi Key Lab Earth Surface Syst & Environm Car, Xian 710127, Peoples R China. ; Huang, C (corresponding author), Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China. ; Huang, C (corresponding author), Northwest Univ, Inst Earth Surface Syst & Hazards, Xian 710127, Peoples R China.
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2021
卷号13期号:7
英文摘要Changes in climate extremes have a profound impact on vegetation growth. In this study, we employed the Moderate Resolution Imaging Spectroradiometer (MODIS) and a recently published climate extremes dataset (HadEX3) to study the temporal and spatial evolution of vegetation cover, and its responses to climate extremes in the arid region of northwest China (ARNC). Mann-Kendall test, Anomaly analysis, Pearson correlation analysis, Time lag cross-correlation method, and Least absolute shrinkage and selection operator logistic regression (Lasso) were conducted to quantitatively analyze the response characteristics between Normalized Difference Vegetation Index (NDVI) and climate extremes from 2000 to 2018. The results showed that: (1) The vegetation in the ARNC had a fluctuating upward trend, with vegetation significantly increasing in Xinjiang Tianshan, Altai Mountain, and Tarim Basin, and decreasing in the central inland desert. (2) Temperature extremes showed an increasing trend, with extremely high-temperature events increasing and extremely low-temperature events decreasing. Precipitation extremes events also exhibited a slightly increasing trend. (3) NDVI was overall positively correlated with the climate extremes indices (CEIs), although both positive and negative correlations spatially coexisted. (4) The responses of NDVI and climate extremes showed time lag effects and spatial differences in the growing period. (5) Precipitation extremes were closely related to NDVI than temperature extremes according to Lasso modeling results. This study provides a reference for understanding vegetation variations and their response to climate extremes in arid regions.
英文关键词NDVI MODIS climate extremes HadEX3 time lag lasso
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000638797200001
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/351501
作者单位[Wang, Simeng; Liu, Qihang; Huang, Chang] Northwest Univ, Shaanxi Key Lab Earth Surface Syst & Environm Car, Xian 710127, Peoples R China; [Wang, Simeng; Liu, Qihang; Huang, Chang] Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China; [Huang, Chang] Northwest Univ, Inst Earth Surface Syst & Hazards, Xian 710127, Peoples R China
推荐引用方式
GB/T 7714
Wang, Simeng,Liu, Qihang,Huang, Chang. Vegetation Change and Its Response to Climate Extremes in the Arid Region of Northwest China[J],2021,13(7).
APA Wang, Simeng,Liu, Qihang,&Huang, Chang.(2021).Vegetation Change and Its Response to Climate Extremes in the Arid Region of Northwest China.REMOTE SENSING,13(7).
MLA Wang, Simeng,et al."Vegetation Change and Its Response to Climate Extremes in the Arid Region of Northwest China".REMOTE SENSING 13.7(2021).
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