Knowledge Management System Of Institute Of Botany,CAS
Quantifying Grazing Intensity in China Using High Temporal Resolution MODIS Data | |
Li, Fei; Bai, Yongfei1![]() | |
2017 | |
发表期刊 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
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ISSN | 1939-1404 |
卷号 | 10期号:2页码:515-523 |
摘要 | Grassland as a distinct landscape type sustains biological and cultural diversity. However, its use at an unprecedentedly high intensity has had a disastrous impact on grassland ecosystems, with degeneration occurring nationwide. Traditional management policy, drafted according to the stocking rate from livestock statistics and/or in situ assessment, seems to have played no role in alleviating this trend. A major cause is the failure of decision making to consider spatial heterogeneity in the impact of grazing on grassland. To address this issue, high temporal resolution moderate-resolution imaging spectroradiometer data were used to develop a new indicator, named the grazing intensity index (GII), for quantifying grazing intensity (GI). The new index was compared with two traditional approaches and the results demonstrated that GII could substitute for both of them to quantify GI. |
关键词 | China grassland grazing intensity (GI) grazing intensity index (GII) moderate-resolution imaging spectroradiometer (MODIS) stocking rate (SR) |
学科领域 | Environmental Sciences & Ecology |
DOI | 10.1016/j.scitotenv.2017.02.103 |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | ENHANCED VEGETATION INDEX ; XILINGOL STEPPE REGION ; INNER-MONGOLIA ; CARBON STORAGE ; MANAGEMENT ; GRASSLANDS ; QUALITY ; MODEL ; PRODUCTIVITY ; RESTORATION |
WOS记录号 | WOS:000398758800109 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
文献子类 | Article |
出版地 | PISCATAWAY |
EISSN | 2151-1535 |
资助机构 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41501393] ; Fundamental Research Project of Chinese Academy of Surveying and Mapping [7771520] ; Open Foundation of the Key Laboratory of Land Use, Ministry of Land and Resources, China |
作者邮箱 | lfgis@163.com ; yfbai@ibcas.ac.cn ; hwwan@ibcas.ac.cn ; jjzheng1985@163.com ; jhluo@niglas.ac.cn ; zhaodan@radi.ac.cn ; liuposwust@163.com |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/22182 |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China 2.Chinese Acad Sci, Inst Bot, Lab Quantitat Vegetat Ecol, Beijing 100093, Peoples R China 3.Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210093, Peoples R China 4.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 5.Chinese Acad Surveying & Mapping, Beijing 100039, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Fei,Bai, Yongfei,Wan, Hongwei,et al. Quantifying Grazing Intensity in China Using High Temporal Resolution MODIS Data[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2017,10(2):515-523. |
APA | Li, Fei.,Bai, Yongfei.,Wan, Hongwei.,Zheng, Jiajia.,Luo, Juhua.,...&Liu, Po.(2017).Quantifying Grazing Intensity in China Using High Temporal Resolution MODIS Data.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,10(2),515-523. |
MLA | Li, Fei,et al."Quantifying Grazing Intensity in China Using High Temporal Resolution MODIS Data".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 10.2(2017):515-523. |
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1-s2.0-S004896971730(467KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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