Grassland degradation remote sensing monitoring and driving factors quantitative assessment in China from 1982 to 2010

草原 草地退化 环境科学 遥感 降级(电信) 中国 环境资源管理 生态学 地理 计算机科学 生物 电信 考古
作者
Wei Zhou,Yang Han,Lu Huang,Chun Chen,Xiaosong Lin,Zhongjun Hu,Jianlong Li
出处
期刊:Ecological Indicators [Elsevier BV]
卷期号:83: 303-313 被引量:232
标识
DOI:10.1016/j.ecolind.2017.08.019
摘要

Remote sensing monitoring of grassland degradation will make a clear of the grassland degradation status of China. At the same time, quantitative assessment of the driving factors will benefit to the understanding of degradation mechanism and grassland degradation control. In this study, net primary productivity (NPP) and grass coverage were selected as indicators to analyze grassland degradation dynamics. And we designed a method to assess the driving force of grassland degradation based on NPP. Specifically, the potential NPP and LNPP (NPP loss because of human activities), which is the difference between potential NPP and actual NPP, were used to calculate the contribution of climate and human factors to grassland degradation, respectively. Results showed that grassland degradation area accounted for 22.7% of the total grassland area in China from 1982 to 2010. The contribution of climate change and human activities to grassland degradation was almost equilibrium (47.9% vs 46.4%). Overall, on the grassland restoration, human activities were the dominant driving factors, accounting for 78.1%, whereas the contribution of climate change was only 21.1%. However, there are obviously spatial heterogeneous on driving factors. And the contribution of climate change was larger than human activities. But for the grassland restoration, human activities were the dominant factors. Warm-dry climate was harmful to grass growth but useful restoration measurements were benefit to grassland restoration. Methods in this study can be widely used in other regions of grassland degradation evaluation. The probability distribution functions (pdfs) of habitat suitability were different for the 7 dominant grassland types. Among, the pdfs of Imperata cylindrica (Linn.) Beauv. and Themeda japonica (Willd.) Tanaka was uniform distribution and mainly distributed in the southeastern of China. The pdf of Phragmites australis (Cav.) Trin. ex Steud. was normal distribution and widely spread all over of China. The pdfs of the Kobre siapygmaea C.B. Clarke and Stipa purpurea Griseb were “leptokurtic shape” and concentrated in the Tibetan Plateau.
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
jjhmh123发布了新的文献求助10
刚刚
刚刚
LXYang完成签到,获得积分10
刚刚
Nana完成签到 ,获得积分10
1秒前
果酱的奥特曼完成签到,获得积分10
1秒前
小北发布了新的文献求助10
2秒前
SciGPT的应助被机灵的宛亦采纳,获得10
3秒前
3秒前
4秒前
学霸业的应助被Xie采纳,获得10
4秒前
por发布了新的文献求助10
5秒前
橘柚完成签到 ,获得积分10
5秒前
6秒前
文献期待发布了新的文献求助10
6秒前
7秒前
完美凌雪完成签到,获得积分10
7秒前
取名字好难完成签到,获得积分10
7秒前
酷波er的应助被dunphy采纳,获得10
8秒前
梅梅王发布了新的文献求助10
8秒前
平常从蓉完成签到,获得积分10
9秒前
鲁万仇完成签到,获得积分10
9秒前
冰橘完成签到,获得积分10
9秒前
开朗以亦完成签到,获得积分10
10秒前
小能完成签到,获得积分10
10秒前
Hello的应助被小北采纳,获得10
11秒前
默默梦桃完成签到,获得积分10
12秒前
tmac完成签到 ,获得积分10
12秒前
一牧牧完成签到,获得积分10
13秒前
zhichao完成签到,获得积分10
13秒前
文献期待完成签到,获得积分10
13秒前
dongzhiliang发布了新的文献求助10
14秒前
斯文败类的应助被667采纳,获得10
15秒前
今后的应助被030采纳,获得10
16秒前
机灵的沂完成签到,获得积分10
16秒前
Frost完成签到,获得积分10
18秒前
frankyeah完成签到,获得积分10
19秒前
ray完成签到,获得积分10
20秒前
21秒前
23秒前
Akim的应助被科学家采纳,获得10
24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
Spec 401: Standards for Jet Fuel Facility and Equipment Commissioning and Flushing at Airports, 2026.1 (Original Issue) 1000
Spec 103: Standard for Jet Fuel Quality Control at Airports, Revision 2026.1 1000
5th World Conference on Detergents: Reinventing the Industry : Opportunities and Challenges 500
Erzählte Gnade 500
Butadiene hydroxytelechelic oligomers PBHT 500
Illustrated Atlas of Aesthetic Botulinum Toxin Therapy 388
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8104468
求助须知:如何正确求助?哪些是违规求助? 9513814
关于积分的说明 21489133
捐赠科研通 7680767
什么是DOI,文献DOI怎么找? 3409416
关于科研通互助平台的介绍 2537199
邀请新用户注册赠送积分活动 2449312