干旱区生态环境知识资源中心(Arid): Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model

Arid

	Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model
	Ye Hui; Huang Xiaotao; Luo Geping; Wang Junbang; Zhang Miao; Wang Xinxin
来源期刊	Journal of Mountain Science
ISSN	1672-6316
出版年	2019
卷号	16 期号:2 页码:323-336
英文摘要	Remote sensing (RS) technologies provide robust techniques for quantifying net primary productivity (NPP) which is a key component of ecosystem production management. Applying RS, the confounding effects of carbon consumed by livestock grazing were neglected by previous studies, which created uncertainties and underestimation of NPP for the grazed lands. The grasslands in Xinjiang were selected as a case study to improve the RS based NPP estimation. A defoliation formulation model (DFM) based on RS is developed to evaluate the extent of underestimated NPP between 1982 and 2011. The estimates were then used to examine the spatiotemporal patterns of the calculated NPP. Results show that average annual underestimated NPP was 55.74 gC·m~(-2)yr~(-1) over the time period understudied, accounting for 29.06% of the total NPP for the Xinjiang grasslands. The spatial distribution of underestimated NPP is related to both grazing intensity and time. Data for the Xinjiang grasslands show that the average annual NPP was 179.41 gC·m~(-2)yr~(-1) , the annual NPP with an increasing trend was observed at a rate of 1.04 gC·m~(-2)yr~(-1) between 1982 and 2011. The spatial distribution of NPP reveals distinct variations from high to low encompassing the geolocations of the Tianshan Mountains, northern and southern Xinjiang Province and corresponding with mid-mountain meadow, typical grassland, desert grassland, alpine meadow, and saline meadow grassland types. This study contributes to improving RS-based NPP estimations for grazed land and provides a more accurate data to support the scientific management of fragile grassland ecosystems in Xinjiang.
英文关键词	Remote sensing Defoliation formulation model Net primary production Grazed land Spatial-temporal patterns Xinjiang
类型	Article
语种	英语
收录类别	CSCD
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:6434855
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/336071
作者单位	Ye Hui, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences;;China University of Chinese Academy of Sciences, State Key Laboratory of Desert and Oasis Ecology;;, Urumqi;;, Xinjiang;;Beijing 830011;;100049.; Luo Geping, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences;;China University of Chinese Academy of Sciences, State Key Laboratory of Desert and Oasis Ecology;;, Urumqi;;, Xinjiang;;Beijing 830011;;100049.; Huang Xiaotao, Northwest Institute of Plateau Biology, Chinese Academy of Sciences;;China University of Chinese Academy of Sciences, Key Laboratory of Restoration Ecology for Cold Regions in Qinghai;;, Xining;;, Qinghai;;Beijing 810008;;100049.; Wang Junbang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences;;China University of Chinese Academy of Sciences, Key Laboratory of Ecosystem Network Observation and Modeling, Chinese Academy of Sciences;;, ;;, Beijing;;Beijing 100101;;100049.; Zhang Miao, Northwest Land...
推荐引用方式 GB/T 7714	Ye Hui,Huang Xiaotao,Luo Geping,et al. Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model[J],2019,16(2):323-336.
APA	Ye Hui,Huang Xiaotao,Luo Geping,Wang Junbang,Zhang Miao,&Wang Xinxin.(2019).Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model.Journal of Mountain Science,16(2),323-336.
MLA	Ye Hui,et al."Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model".Journal of Mountain Science 16.2(2019):323-336.