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,Lin Xiao-song,Zhongjun Hu,Jianlong Li
出处
期刊:Ecological Indicators [Elsevier BV]
卷期号:83: 303-313 被引量:216
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
含蓄的孤丝完成签到 ,获得积分10
3秒前
李y梅子完成签到 ,获得积分10
4秒前
O_O完成签到 ,获得积分10
6秒前
Zzzzz完成签到 ,获得积分10
8秒前
lph完成签到 ,获得积分10
9秒前
kaiz完成签到,获得积分10
11秒前
cunzhang完成签到,获得积分10
12秒前
痞子毛完成签到,获得积分10
16秒前
singlehzp完成签到 ,获得积分10
20秒前
食梦貊完成签到 ,获得积分10
33秒前
33秒前
科研小白完成签到 ,获得积分10
38秒前
Novice6354完成签到 ,获得积分10
41秒前
大力的灵雁应助草田水采纳,获得20
42秒前
taurielLl完成签到,获得积分10
43秒前
长孙烙完成签到 ,获得积分10
46秒前
yang完成签到 ,获得积分0
54秒前
XU博士完成签到,获得积分10
54秒前
墨宝完成签到 ,获得积分10
56秒前
daixan89完成签到 ,获得积分10
59秒前
大方百招完成签到,获得积分10
1分钟前
尼古拉耶维奇完成签到,获得积分10
1分钟前
ldr888完成签到,获得积分10
1分钟前
Min完成签到,获得积分20
1分钟前
淼淼兮余淮完成签到,获得积分10
1分钟前
111完成签到 ,获得积分10
1分钟前
adam完成签到 ,获得积分0
1分钟前
marvelou完成签到,获得积分10
1分钟前
baa完成签到,获得积分10
1分钟前
调皮平蓝完成签到,获得积分10
1分钟前
MM完成签到 ,获得积分10
1分钟前
猪鼓励完成签到,获得积分10
1分钟前
洛城l完成签到 ,获得积分10
1分钟前
king07完成签到,获得积分10
1分钟前
mrconli完成签到,获得积分10
1分钟前
神经大侠完成签到,获得积分10
1分钟前
落寞的幻竹完成签到,获得积分10
1分钟前
Akim应助科研通管家采纳,获得10
1分钟前
1分钟前
阿靖完成签到 ,获得积分10
1分钟前
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
Applied Min-Max Approach to Missile Guidance and Control 5000
Metallurgy at high pressures and high temperatures 2000
Inorganic Chemistry Eighth Edition 1200
Anionic polymerization of acenaphthylene: identification of impurity species formed as by-products 1000
The Psychological Quest for Meaning 800
Signals, Systems, and Signal Processing 610
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 6325897
求助须知:如何正确求助?哪些是违规求助? 8142015
关于积分的说明 17071610
捐赠科研通 5378411
什么是DOI,文献DOI怎么找? 2854159
邀请新用户注册赠送积分活动 1831834
关于科研通互助平台的介绍 1683062