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 气候变化 初级生产 草地生态系统 降级(电信) 中国 自然地理学 生态学 生态系统 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:182
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
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
平淡夏槐完成签到,获得积分10
3秒前
3秒前
小凉完成签到,获得积分10
3秒前
烟花应助真德秀先生采纳,获得10
4秒前
6秒前
英姑应助科研通管家采纳,获得10
6秒前
jjj应助科研通管家采纳,获得10
6秒前
科研通AI2S应助科研通管家采纳,获得10
6秒前
星辰大海应助科研通管家采纳,获得10
6秒前
慕青应助科研通管家采纳,获得10
7秒前
wanci应助科研通管家采纳,获得10
7秒前
7秒前
丘比特应助科研通管家采纳,获得10
7秒前
7秒前
领导范儿应助科研通管家采纳,获得10
7秒前
7秒前
SciGPT应助科研通管家采纳,获得10
7秒前
搜集达人应助科研通管家采纳,获得10
7秒前
共享精神应助科研通管家采纳,获得10
7秒前
pcr163应助科研通管家采纳,获得50
7秒前
研友_VZG7GZ应助科研通管家采纳,获得10
7秒前
隐形雁玉应助科研通管家采纳,获得10
8秒前
8秒前
搜集达人应助科研通管家采纳,获得10
8秒前
8秒前
8秒前
8秒前
8秒前
泠漓应助lobule采纳,获得10
9秒前
陶醉如柏完成签到,获得积分10
9秒前
CC发布了新的文献求助10
11秒前
Lee发布了新的文献求助10
12秒前
小马甲应助DAXX采纳,获得30
13秒前
14秒前
着急的寒烟完成签到,获得积分10
15秒前
小小户完成签到 ,获得积分10
18秒前
19秒前
完美世界应助slh采纳,获得10
19秒前
乐乐应助土豆丝炒姜丝采纳,获得10
21秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 800
水稻光合CO2浓缩机制的创建及其作用研究 500
Logical form: From GB to Minimalism 500
2025-2030年中国消毒剂行业市场分析及发展前景预测报告 500
The Netter Collection of Medical Illustrations: Digestive System, Volume 9, Part III – Liver, Biliary Tract, and Pancreas, 3rd Edition 400
Elliptical Fiber Waveguides 400
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 4170133
求助须知:如何正确求助?哪些是违规求助? 3705772
关于积分的说明 11693212
捐赠科研通 3391954
什么是DOI,文献DOI怎么找? 1860324
邀请新用户注册赠送积分活动 920316
科研通“疑难数据库(出版商)”最低求助积分说明 832657