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:: 176271-176271 被引量:3
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
从容的凛完成签到,获得积分10
1秒前
cyndifly1314完成签到 ,获得积分10
1秒前
qsxy发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
2秒前
2秒前
hqq发布了新的文献求助10
2秒前
一二三发布了新的文献求助10
3秒前
zd发布了新的文献求助10
4秒前
5秒前
yifei完成签到,获得积分10
5秒前
辛勤冰彤完成签到,获得积分10
5秒前
星星之火发布了新的文献求助10
5秒前
Orange应助林钰浩采纳,获得10
6秒前
游舒平发布了新的文献求助10
7秒前
华仔应助三秋采纳,获得10
7秒前
博修发布了新的文献求助10
7秒前
8秒前
8秒前
8秒前
yangzai发布了新的文献求助10
9秒前
9秒前
liberty发布了新的文献求助10
10秒前
11秒前
卡卡西应助科研通管家采纳,获得30
12秒前
nemuruinu应助科研通管家采纳,获得20
12秒前
李健应助科研通管家采纳,获得20
12秒前
赘婿应助科研通管家采纳,获得10
12秒前
sh完成签到,获得积分10
12秒前
speak发布了新的文献求助10
12秒前
12秒前
田様应助科研通管家采纳,获得10
13秒前
Hello应助科研通管家采纳,获得10
13秒前
慕青应助科研通管家采纳,获得10
13秒前
卡卡西应助科研通管家采纳,获得30
13秒前
无花果应助科研通管家采纳,获得10
13秒前
13秒前
13秒前
xigua应助科研通管家采纳,获得10
13秒前
13秒前
高分求助中
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
Christian Women in Chinese Society: The Anglican Story 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3961189
求助须知:如何正确求助?哪些是违规求助? 3507456
关于积分的说明 11136282
捐赠科研通 3239926
什么是DOI,文献DOI怎么找? 1790545
邀请新用户注册赠送积分活动 872449
科研通“疑难数据库(出版商)”最低求助积分说明 803152