Analysis of spatial-temporal patterns and driving mechanisms of land desertification in China

荒漠化 土地退化 中国 干旱 土地利用 环境科学 自然地理学 地理 环境保护 生态学 生物 考古
作者
Yu Ren,Bo Zhang,Xidong Chen,Xiangjun Liu
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:909: 168429-168429 被引量:41
标识
DOI:10.1016/j.scitotenv.2023.168429
摘要

Desertification is a major manifestation of land degradation in China. The monitoring and assessment of land desertification in China and the analysis of its driving mechanisms are crucial to the realization of the aspiration of "net zero land degradation" proposed by the United Nations Convention to Combat Desertification (UNCCD). An improved Mediterranean Desertification and Land Use (MEDALUS) model was applied to assess the multiyear spatial distribution of land desertification sensitivity across China in 2010, 2015, and 2020. A Principal Component Analysis (PCA) was used to evaluate the internal stability of the model. In addition, a Geographical Detector method was used to examine the driving mechanisms of desertification sensitivity in China. The results showed that extremely sensitive desertification areas were primarily concentrated within the Northwest Desert and Desertification Region, northern segment of the Qinghai-Tibet Plateau desert and desertification region, and western sector of the Inner Mongolia-Daxinganling Desert and Desertification Region. In addition, the proportion of land area showing an overall reduction in sensitivity (17.07 %) exceeded that showing an increase (16.56 %). This indicates an overall diminishing trend in sensitivity to land desertification across China. Land use intensity (LUI), drought resistance (DR), erosion protection (EP), and aridity index (AI) are consistently the most important drivers. From 2015 to 2020, the LUI emerged as the principal catalyst behind the transformation of land desertification sensitivity in China. Hence, emphasizing well-planned land use is vital for ensuring harmony between land utilization and ecological capacity. This study establishes a scientific basis for China's land desertification control strategy and serves as a quantitative analysis reference for the driving mechanisms.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
MengFantao完成签到,获得积分10
1秒前
aa完成签到,获得积分10
1秒前
1秒前
HK完成签到 ,获得积分10
1秒前
1秒前
ele完成签到,获得积分10
1秒前
2秒前
感性的苑博完成签到 ,获得积分10
2秒前
华仔应助MIN采纳,获得10
3秒前
Akim应助喵酱采纳,获得10
3秒前
林JJ的小可爱完成签到,获得积分10
3秒前
student完成签到,获得积分10
3秒前
wuxiao完成签到,获得积分10
4秒前
好货分享发布了新的文献求助30
4秒前
挖掘机完成签到,获得积分10
4秒前
张三发布了新的文献求助30
5秒前
5秒前
6秒前
hjf完成签到,获得积分10
6秒前
zly发布了新的文献求助10
6秒前
酷波er应助fgjkl采纳,获得10
6秒前
LX完成签到,获得积分10
6秒前
6秒前
优美巨人发布了新的文献求助10
7秒前
柒号发布了新的文献求助30
7秒前
猪猪hero应助阿博采纳,获得20
7秒前
香蕉觅云应助眼睛大智宸采纳,获得30
7秒前
英吉利25发布了新的文献求助10
7秒前
星辰大海应助22采纳,获得30
7秒前
gy完成签到,获得积分10
7秒前
8秒前
ASD完成签到,获得积分10
9秒前
luen发布了新的文献求助10
9秒前
MIN完成签到,获得积分10
9秒前
可以的完成签到,获得积分0
10秒前
idiom完成签到 ,获得积分10
10秒前
10秒前
李漾漾发布了新的文献求助10
10秒前
儒雅水杯发布了新的文献求助10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6345362
求助须知:如何正确求助?哪些是违规求助? 8159961
关于积分的说明 17160156
捐赠科研通 5401464
什么是DOI,文献DOI怎么找? 2860815
邀请新用户注册赠送积分活动 1838623
关于科研通互助平台的介绍 1688110