干旱区生态环境知识资源中心(Arid): Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data

Arid

DOI	10.3390/rs13224709
	Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data
	Shi, Haiyang; Pan, Qun; Luo, Geping; Hellwich, Olaf; Chen, Chunbo; Van de Voorde, Tim; Kurban, Alishir; De Maeyer, Philippe; Wu, Shixin
通讯作者	Wu, SX (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:22
英文摘要	Understanding the impacts of environmental factors on spatial-temporal and large-scale rodent distribution is important for rodent damage prevention. Investigating rat hole density (RHD) is one of the most effective methods to obtain the intensity of rodent damage. However, most of the previous field surveys or UAV-based remote sensing methods can only evaluate small-scale RHD and its influencing factors. However, these studies did not consider large-scale temporal and spatial heterogeneity. Therefore, we collected small-scale and in situ measurement records of RHD on the northern slope of the Tien Shan Mountains in Xinjiang (NTXJ), China, from 1982 to 2015, and then used correlation analysis and Bayesian network (BN) to analyze the environmental impacts on large-scale RHD with satellite remote sensing data such as the GIMMS NDVI product. The results show that the built BN can better quantify causality in the environmental mechanism modeling of RHD. The NDVI and LAI data from satellite remote sensing are important to the spatial-temporal RHD distribution and the mapping in the future. In regions with an elevation higher than 600 m (UPR) and lower than 600 m (LWR) of NTXJ, there are significant differences in the driving mechanism patterns of RHD, which are dependent on the elevation variation. In LWR, vegetation conditions have a weaker impact on RHD than UPR. It is possibly due to the Artemisia eaten by the dominant species Lagurus luteus (LL) in UPR being more sensitive to precipitation and temperature if compared with the Haloxylon ammodendron eaten by the Rhombomys opimus (RO) in LWR. In LWR, grazing intensity is more strongly and positively correlated to RHD than UPR, possibly due to both winter grazing and RO dependency on vegetation distribution; moreover, in UPR, sheep do not feed Artemisia as the main food, and the total vegetation is sufficient for sheep and LL to coexist. Under the different conditions of water availability of LWR and UPR, grazing may affect the ratio of aboveground and underground biomass by photosynthate allocation, thereby affecting the distribution of RHD. In extremely dry years, the RHD of LWR and UPR may have an indirect interactive relation due to changes in grazing systems.
英文关键词	NDVI GIMMS SRTM Rhombomys opimus Lagurus luteus
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000727044400001
WOS关键词	CLIMATE-CHANGE ; SENSITIVITY-ANALYSIS ; TIANSHAN MOUNTAINS ; RHOMBOMYS-OPIMUS ; CENTRAL-ASIA ; LAND-USE ; DESERT ; GRASSLAND ; RODENTS ; ALLOCATION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373712
作者单位	[Shi, Haiyang; Pan, Qun; Luo, Geping; Chen, Chunbo; Kurban, Alishir; De Maeyer, Philippe; Wu, Shixin] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Shi, Haiyang; Luo, Geping; Kurban, Alishir; De Maeyer, Philippe] Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China; [Shi, Haiyang; Van de Voorde, Tim; De Maeyer, Philippe] Univ Ghent, Dept Geog, B-9000 Ghent, Belgium; [Shi, Haiyang; Luo, Geping; Van de Voorde, Tim; Kurban, Alishir; De Maeyer, Philippe] Sino Belgian Joint Lab Geoinformat, B-9000 Ghent, Belgium; [Pan, Qun] Xinjiang Univ, Coll Resources & Environm Sci, Urumqi 830046, Peoples R China; [Luo, Geping; Kurban, Alishir] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China; [Hellwich, Olaf] Tech Univ Berlin, Dept Comp Vis & Remote Sensing, D-10587 Berlin, Germany
推荐引用方式 GB/T 7714	Shi, Haiyang,Pan, Qun,Luo, Geping,et al. Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data[J],2021,13(22).
APA	Shi, Haiyang.,Pan, Qun.,Luo, Geping.,Hellwich, Olaf.,Chen, Chunbo.,...&Wu, Shixin.(2021).Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data.REMOTE SENSING,13(22).
MLA	Shi, Haiyang,et al."Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data".REMOTE SENSING 13.22(2021).