Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model

NWIPB OpenIR

	Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model
	Ye Hui; Huang Xiao-tao; Luo Ge-ping; Wang Jun-bang; Zhang Miao; Wang Xin-xin
	2019
发表期刊	JOURNAL OF MOUNTAIN SCIENCE
卷号	16 期号:2
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.
关键词	Remote sensing Defoliation formulation model Net primary production Grazed land Spatial-temporal patterns Xinjiang
文献类型	期刊论文
条目标识符	http://210.75.249.4/handle/363003/59864
专题	中国科学院西北高原生物研究所
推荐引用方式 GB/T 7714	Ye Hui,Huang Xiao-tao,Luo Ge-ping,et al. Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model[J]. JOURNAL OF MOUNTAIN SCIENCE,2019,16(2).
APA	Ye Hui,Huang Xiao-tao,Luo Ge-ping,Wang Jun-bang,Zhang Miao,&Wang Xin-xin.(2019).Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model.JOURNAL OF MOUNTAIN SCIENCE,16(2).
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).