干旱区生态环境知识资源中心(Arid): Quantifying Grazing Intensity Using Remote Sensing in Alpine Meadows on Qinghai-Tibetan Plateau

Arid

DOI	10.3390/su11020417
	Quantifying Grazing Intensity Using Remote Sensing in Alpine Meadows on Qinghai-Tibetan Plateau
	Ma, Qingqing 1,2,3; Chai, Linrong 1,2,3; Hou, Fujiang 1,2,3; Chang, Shenghua 1,2,3; Ma, Yushou 4; Tsunekawa, Atsushi 5; Cheng, Yunxiang 1,2,3,6
通讯作者	Cheng, Yunxiang
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2019
卷号	11 期号:2
英文摘要	Remote sensing data have been widely used in the study of large-scale vegetation activities, which have important significance in estimating grassland yields, determining grassland carrying capacity, and strengthening the scientific management of grasslands. Remote sensing data are also used for estimating grazing intensity. Unfortunately, the spatial distribution of grazing-induced degradation remains undocumented by field observation, and most previous studies on grazing intensity have been qualitative. In our study, we tried to quantify grazing intensity using remote sensing techniques. To achieve this goal, we conducted field experiments at Gansu Province, China, which included a meadow steppe and a semi-arid region. The correlation between a vegetation index and grazing intensity was simulated, and the results demonstrated that there was a significant negative correlation between NDVI and relative grazing intensity (p < 0.05). The relative grazing intensity increased with a decrease in NDVI, and when the relative grazing intensity reached a certain level, the response of NDVI to relative grazing intensity was no longer sensitive. This study shows that the NDVI model can illustrate the feasibility of using a vegetation index to monitor the grazing intensity of livestock in free-grazing mode. Notably, it is feasible to use the remote sensing vegetation index to obtain the thresholds of livestock grazing intensity.
英文关键词	Alpine meadows aboveground biomass grazing intensity vegetation index grazing intensity threshold Forage-livestock balance
类型	Article
语种	英语
国家	Peoples R China ; Japan
开放获取类型	Green Submitted, gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000457129900121
WOS关键词	ABOVEGROUND BIOMASS ; VEGETATION ; GRASSLAND ; DEGRADATION ; PRODUCTIVITY ; BIODIVERSITY ; DISTURBANCE ; RESPONSES ; ECOSYSTEM ; QUALITY
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218960
作者单位	1.State Key Lab Grassland Agroecosyst, Lanzhou 730020, Gansu, Peoples R China; 2.Minist Agr & Rural Affairs, Key Lab Grassland Livestock Ind Innovat, Lanzhou 730020, Gansu, Peoples R China; 3.Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Lanzhou 730020, Gansu, Peoples R China; 4.Qinghai Univ, Acad Anim & Vet Sci, Inst Rangeland Res, Xining 810016, Qinghai, Peoples R China; 5.Tottori Univ, Arid Land Res Ctr, 1390 Hamasaka, Tottori 6800001, Japan; 6.Inner Mongolia Univ, Sch Ecol & Environm, Hohhot 010021, Inner Mongolia, Peoples R China
推荐引用方式 GB/T 7714	Ma, Qingqing,Chai, Linrong,Hou, Fujiang,et al. Quantifying Grazing Intensity Using Remote Sensing in Alpine Meadows on Qinghai-Tibetan Plateau[J]. 兰州大学,2019,11(2).
APA	Ma, Qingqing.,Chai, Linrong.,Hou, Fujiang.,Chang, Shenghua.,Ma, Yushou.,...&Cheng, Yunxiang.(2019).Quantifying Grazing Intensity Using Remote Sensing in Alpine Meadows on Qinghai-Tibetan Plateau.SUSTAINABILITY,11(2).
MLA	Ma, Qingqing,et al."Quantifying Grazing Intensity Using Remote Sensing in Alpine Meadows on Qinghai-Tibetan Plateau".SUSTAINABILITY 11.2(2019).