Assessing long-term trends in vegetation cover change in the Xilin River Basin: Potential for monitoring grassland degradation and restoration

草原 植被(病理学) 环境科学 草地退化 自然地理学 土地覆盖 水文学(农业) 遥感 土地利用 生态学 地理 地质学 医学 岩土工程 病理 生物
作者
Yajun Zhou,Okke Batelaan,Huade Guan,Tingxi Liu,Limin Duan,Yixuan Wang,Xia Li
出处
期刊:Journal of Environmental Management [Elsevier]
卷期号:349: 119579-119579 被引量:6
标识
DOI:10.1016/j.jenvman.2023.119579
摘要

Under the influence of climate change and human activities, the problem of grassland degradation is becoming increasingly severe. Detection of changes in vegetation cover is crucial for a better understanding of the interaction between humans and ecosystems. This study maps changes in vegetation cover using the Google Earth Engine (GEE). We used 36 years of Landsat satellite imagery (1985–2020) in the Xilin River Basin, China, to classify grassland conditions and validated the results with field observation data. The overall classification of the model accuracy assessment was 83.3%. The Dynamic Reference Vegetation Cover Method (DRCM) was adopted to remove the effect of interannual variation of rainfall, allowing to focus on the impact of human activities on vegetation cover changes. The results identify five categories of vegetation cover changes: significantly increased, potentially increased, stable, potentially decreased, and significantly decreased. The reference level is derived from the most persistent land surface coverage across different grassland types and all years. Overall, 9.3% of the study area had a significant increase in vegetation cover, 14.2% a potential increase, 48.6% of the area showed a stable vegetation condition, 9.8% showed a potential decrease, and 18.1% a significant decrease in vegetation cover. The largest proportion of combined potential and significant reduction was 35.2% for desert grassland, where the vegetation faced the most severe reduction. This study will provide a basis for identifying grassland degradation and developing scientific management policies.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
赘婿应助celine123采纳,获得10
刚刚
1秒前
1秒前
鄂百川发布了新的文献求助30
1秒前
2秒前
4秒前
hello发布了新的文献求助10
5秒前
大胆的静竹完成签到,获得积分10
6秒前
学术小白完成签到 ,获得积分10
6秒前
唐诗阅发布了新的文献求助10
7秒前
项听蓉完成签到,获得积分10
10秒前
舒适映寒完成签到,获得积分10
11秒前
科研通AI2S应助锦铭采纳,获得30
12秒前
七栀完成签到,获得积分10
12秒前
能干的梦岚完成签到,获得积分10
13秒前
13秒前
小栩完成签到 ,获得积分10
13秒前
LYB吕完成签到,获得积分20
13秒前
FashionBoy应助科研通管家采纳,获得10
16秒前
深情安青应助科研通管家采纳,获得30
16秒前
田様应助科研通管家采纳,获得10
16秒前
鄂百川完成签到,获得积分10
16秒前
李健应助科研通管家采纳,获得10
16秒前
Akim应助科研通管家采纳,获得10
16秒前
知性的焦发布了新的文献求助10
16秒前
JamesPei应助科研通管家采纳,获得10
16秒前
17秒前
科研通AI2S应助科研通管家采纳,获得30
17秒前
wanci应助科研通管家采纳,获得10
17秒前
坚强亦丝应助科研通管家采纳,获得10
17秒前
琅伊应助科研通管家采纳,获得30
17秒前
完美世界应助科研通管家采纳,获得10
17秒前
隐形曼青应助科研通管家采纳,获得10
17秒前
17秒前
17秒前
小马甲应助可爱绮采纳,获得10
17秒前
唐诗阅完成签到,获得积分10
17秒前
18秒前
瀚子发布了新的文献求助20
18秒前
19秒前
高分求助中
The ACS Guide to Scholarly Communication 2500
Sustainability in Tides Chemistry 2000
Pharmacogenomics: Applications to Patient Care, Third Edition 1000
Studien zur Ideengeschichte der Gesetzgebung 1000
TM 5-855-1(Fundamentals of protective design for conventional weapons) 1000
Threaded Harmony: A Sustainable Approach to Fashion 810
Genera Insectorum: Mantodea, Fam. Mantidæ, Subfam. Hymenopodinæ (Classic Reprint) 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3085525
求助须知:如何正确求助?哪些是违规求助? 2738394
关于积分的说明 7549581
捐赠科研通 2388186
什么是DOI,文献DOI怎么找? 1266339
科研通“疑难数据库(出版商)”最低求助积分说明 613430
版权声明 598591