清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Spatiotemporal evolution and driving factors analysis of fractional vegetation coverage in the arid region of northwest China

干旱 中国 植被(病理学) 地理 自然地理学 驱动因素 环境科学 气候学 地质学 古生物学 考古 医学 病理
作者
Qilong Zhou,Wei Chen,Hongtao Wang,Dongliang Wang
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:954: 176271-176271 被引量:38
标识
DOI:10.1016/j.scitotenv.2024.176271
摘要

The arid region of northwest China (ARNC) is the most ecologically fragile region in China, and is characterized by harsh natural conditions, severe soil erosion, and poor soil fertility. Understanding long-term vegetation changes in this region is critical for effective environmental monitoring and climate change adaptation. Fractional vegetation coverage (FVC) is a key parameter for characterizing the ecological conditions of the ARNC. However, the reliance on low-resolution FVC and NDVI data due to the lack of medium-resolution data has limited our understanding of the environmental dynamics in this region. Therefore, this study addressed this gap by utilizing Landsat data to generate FVC data, enabling a detailed investigation of the spatial-temporal variations and driving factors of vegetation in the ARNC from 2000 to 2020. The results indicated the following: (1) The FVC was generally low, with an average of 0.191. The FVC was greater in the northwest and lower in the southeast in terms of spatial distribution features. The trend of FVC change in ARNC showed significant spatial variability, with degradation outweighing improvement. (2) The coefficient of variation of FVC was 0.377, indicating significant temporal fluctuations, with more stable conditions in the northwest than in the southeast. (3) The spatial differentiation of the FVC in ARNC was primarily driven by land cover types, evapotranspiration, and precipitation, with explanatory powers exceeding 30 % each. This study is significant because it provides a comprehensive understanding of vegetation dynamics in one of China's most vulnerable regions, offering critical insights for ecological restoration, desertification control, and sustainable development. The findings underscore the importance of targeted ecological governance to address the challenges posed by environmental degradation in the ARNC.
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
2秒前
fufu发布了新的文献求助10
8秒前
老老熊完成签到,获得积分10
14秒前
17秒前
不安的如天完成签到,获得积分10
18秒前
19秒前
19秒前
彩色的芷容完成签到 ,获得积分20
21秒前
落花生发布了新的文献求助10
21秒前
GingerF应助非洲大象采纳,获得50
28秒前
傲娇尔安完成签到 ,获得积分10
34秒前
49秒前
Charlene发布了新的文献求助10
53秒前
Kao应助斑驳采纳,获得20
57秒前
会飞的柯基完成签到 ,获得积分10
1分钟前
传奇3应助Charlene采纳,获得10
1分钟前
happyboy2008完成签到 ,获得积分10
1分钟前
忘忧Aquarius完成签到,获得积分0
1分钟前
Lauren完成签到 ,获得积分10
1分钟前
学无止境完成签到 ,获得积分10
1分钟前
qin完成签到 ,获得积分10
1分钟前
医上南山完成签到,获得积分10
1分钟前
石榴完成签到 ,获得积分10
2分钟前
冷静的尔竹完成签到,获得积分10
2分钟前
Axel完成签到,获得积分10
2分钟前
淡然的冬瓜完成签到,获得积分10
2分钟前
creep2020完成签到,获得积分0
2分钟前
muriel完成签到,获得积分0
2分钟前
e746700020完成签到,获得积分10
2分钟前
小二郎应助Tree_QD采纳,获得10
2分钟前
猫尔儿完成签到,获得积分10
2分钟前
曾经不言完成签到 ,获得积分0
2分钟前
2分钟前
3分钟前
卡卡完成签到,获得积分10
3分钟前
lx完成签到,获得积分10
3分钟前
Tree_QD发布了新的文献求助10
3分钟前
kkdg完成签到,获得积分10
3分钟前
千帆完成签到,获得积分10
3分钟前
Arctic完成签到 ,获得积分10
3分钟前
高分求助中
Ideology and Meaning-Making under the Putin Regime 750
Introduction to Industrial/Organizational Psychology 600
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
Handbook of Luminescence Dating 500
Safety Pharmacology 500
《KNN基无铅压电陶瓷电学性能优化与物理机理研究》 500
Medical Law and Ethics Tenth Edition 400
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 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6930367
求助须知:如何正确求助?哪些是违规求助? 8618284
关于积分的说明 18278485
捐赠科研通 6353886
什么是DOI,文献DOI怎么找? 3073578
关于科研通互助平台的介绍 2108684
邀请新用户注册赠送积分活动 2050632