Divergent trends in grassland degradation and desertification under land use and climate change in Central Asia from 2000 to 2020

被引:15
作者
Zhao, Yanbo [1 ]
Wang, Jie [1 ,9 ]
Zhang, Geli [2 ]
Liu, Luo [3 ]
Yang, Jilin [1 ]
Wu, Xiaocui [4 ]
Biradar, Chandrashekhar [5 ,6 ]
Dong, Jinwei [7 ]
Xiao, Xiangming [8 ]
机构
[1] China Agr Univ, Coll Grassland Sci & Technol, Beijing 100193, Peoples R China
[2] China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China
[3] South China Agr Univ, Guangdong Prov Key Lab Land Use & Consolidat, Guangzhou 510642, Peoples R China
[4] Univ Illinois, Dept Nat Resources & Environm Sci, Urbana, IL 61801 USA
[5] Ctr Int Forestry Res CIFOR, Asia Continental Program, New Delhi, India
[6] World Agroforestry Ctr ICRAF, New Delhi, India
[7] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
[8] Univ Oklahoma, Ctr Earth Observat & Modeling, Dept Microbiol & Plant Biol, Norman, OK 73019 USA
[9] China Agr Univ, Coll Grassland Sci & Technol, Yuanmingyuan West Rd 2, Beijing 100193, Peoples R China
基金
中国国家自然科学基金;
关键词
Climate change; Drylands; Desertification; Grassland degradation; Attribution analyses; SEMIARID ECOSYSTEMS; VEGETATION DYNAMICS; COVER CHANGE; DROUGHT; PRODUCTIVITY; VARIABILITY; GREENNESS; IMPACTS; FORESTS; GROWTH;
D O I
10.1016/j.ecolind.2023.110737
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Grassland degradation (within-state change) and desertification (state conversion from grasslands to deserts) are different states in the complex dynamic process of grassland deterioration. However, the dynamics and associated drivers of the two states have been rarely examined separately, which is critical for early warning and conservation policy making. Here, the grassland degradation and desertification in Central Asia (CA) were studied due to their evident vulnerability to climate extremes and human activities. We performed a two-step approach to identify the critical state zones first (i.e., grasslands, deserts, and the desertification zones) and then assess the vegetation dynamics within each zone. Finally, we quantified the roles of CO2 fertilization effect, climate change, climate variability, land use (LU), and anthropogenic climate change (ACC) on the vegetation dynamics in different state zones. The results showed that the areas of grasslands and sparse vegetation regions (including deserts and desertification zones) were stable from 2000 to 2020, but the trends of vegetation greenness were divergent with a reduction in grasslands and an increase in sparse vegetation regions. Furthermore, climate change and climate variability were the main driving force affecting grassland degradation in CA. Yet the vegetation greening in the desertification and desert zones was mainly driven by the rising CO2 and LU. Moreover, ACC degraded 20.63% of grasslands and sparsely vegetated lands in CA on the baseline of 2000. The results highlighted the risks of grassland degradation in CA. This study proposed a methodology to examine grassland degradation and desertification in detail and quantify the associated driving factors (especially ACC) at the pixel scale, which provided some insights on developing region-precise strategies for grassland conservation in CA and other drylands.
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页数:11
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