Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/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
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EISSN | 2072-4292 |
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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