Analysis of Effects of Recent Changes in Hydrothermal Conditions on Vegetation in Central Asia

被引:9
|
作者
Xing, Xiuwei [1 ,2 ,3 ,4 ]
Qian, Jing [1 ,2 ,4 ,5 ]
Chen, Xi [1 ,3 ,4 ]
Chen, Chaoliang [1 ,2 ,3 ,4 ]
Sun, Jiayu [2 ]
Wei, Shujie [2 ]
Yimamaidi, Duman [3 ]
Zhanar, Zhahan [6 ]
机构
[1] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
[2] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
[3] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[5] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Key Lab GIS & RS Applicat Xinjiang Uygur Autonomo, Urumqi 830011, Peoples R China
[6] Kazakh Agro Tech Univ Named Saken Seifullin, Dept Int Relat, Nur Sultan 010000, Kazakhstan
基金
中国国家自然科学基金;
关键词
NDVI; vegetation variations; hydrothermal conditions; boosted regression tree; Central Asia; NET PRIMARY PRODUCTION; CLIMATE-CHANGE; DYNAMICS; DROUGHT; COVER; NDVI; PRECIPITATION; RESPONSES; GROWTH; TREND;
D O I
10.3390/land11030327
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Understanding the relationship of hydrothermal conditions to vegetation changes is conducive to revealing the feedback mechanism connecting climate variations and vegetation. Based on the methods of Theil-Sen median analysis, and the Mann-Kendall trend test, this research investigated the spatiotemporal vegetation dynamics in Central Asia using the Normalized Difference Vegetation Index (NDVI) and grid climate data from 1982 to 2015. Further, the contributions of hydrothermal conditions to vegetation changes were quantified using a boosted regression tree model (BRT). The results demonstrated that the spatiotemporal characteristics of vegetation dynamics exhibited significant differences in different seasons, and most pixels showed increasing trends in the growing season and spring. Boosted regression tree analysis indicated that the contributions of hydrothermal conditions to vegetation dynamics exhibited temporal and spatial heterogeneity. During the annual, growing season, and summer examination periods, the contribution value of the increase in warming conditions (temperature or potential evapotranspiration) to vegetation degradation in the region due to the hydrothermal tradeoff effect (water) was 49.92%, 44.10%, and 44.95%, respectively. Moreover, the increase in warming conditions promoted vegetation growth, with a contribution value of 59.73% in spring. The contribution value of the increase in wetting conditions (precipitation or soil moisture) to vegetation growth was 48.46% in northern Central Asia, but the contribution value of the increase in warming conditions to vegetation degradation was 59.49% in Ustyurt Upland and the Aral Sea basin in autumn. However, the increase in warming conditions facilitated irrigation vegetation growth, with a contribution value of 59.86% in winter. The increasing potential evapotranspiration was the main factor affecting vegetation degradation in the Kyzylkum Desert and Karakum Desert during the annual, growing season, and autumn examination periods. Precipitation and soil moisture played decisive roles in vegetation dynamics in northern Central Asia during the growing season, summer, and autumn. This research provides reference information for ecological restoration in Central Asia.
引用
收藏
页数:27
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