Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data

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 fiel...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Haiyang Shi, Qun Pan, Geping Luo, Olaf Hellwich, Chunbo Chen, Tim Van de Voorde, Alishir Kurban, Philippe De Maeyer, Shixin Wu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	NDVI GIMMS SRTM Rhombomys opimus Lagurus luteus Science Q
Acceso en línea:	https://doaj.org/article/3ea557eb11bd474f84dc3d5bac4c6b5d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3ea557eb11bd474f84dc3d5bac4c6b5d
record_format	dspace
spelling	oai:doaj.org-article:3ea557eb11bd474f84dc3d5bac4c6b5d2021-11-25T18:55:38ZAnalysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data10.3390/rs132247092072-4292https://doaj.org/article/3ea557eb11bd474f84dc3d5bac4c6b5d2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4709https://doaj.org/toc/2072-4292Understanding 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.Haiyang ShiQun PanGeping LuoOlaf HellwichChunbo ChenTim Van de VoordeAlishir KurbanPhilippe De MaeyerShixin WuMDPI AGarticleNDVIGIMMSSRTMRhombomys opimusLagurus luteusScienceQENRemote Sensing, Vol 13, Iss 4709, p 4709 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	NDVI GIMMS SRTM Rhombomys opimus Lagurus luteus Science Q
spellingShingle	NDVI GIMMS SRTM Rhombomys opimus Lagurus luteus Science Q Haiyang Shi Qun Pan Geping Luo Olaf Hellwich Chunbo Chen Tim Van de Voorde Alishir Kurban Philippe De Maeyer Shixin Wu Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data
description	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.
format	article
author	Haiyang Shi Qun Pan Geping Luo Olaf Hellwich Chunbo Chen Tim Van de Voorde Alishir Kurban Philippe De Maeyer Shixin Wu
author_facet	Haiyang Shi Qun Pan Geping Luo Olaf Hellwich Chunbo Chen Tim Van de Voorde Alishir Kurban Philippe De Maeyer Shixin Wu
author_sort	Haiyang Shi
title	Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data
title_short	Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data
title_full	Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data
title_fullStr	Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data
title_full_unstemmed	Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data
title_sort	analysis of the impacts of environmental factors on rat hole density in the northern slope of the tienshan mountains with satellite remote sensing data
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3ea557eb11bd474f84dc3d5bac4c6b5d
work_keys_str_mv	AT haiyangshi analysisoftheimpactsofenvironmentalfactorsonratholedensityinthenorthernslopeofthetienshanmountainswithsatelliteremotesensingdata AT qunpan analysisoftheimpactsofenvironmentalfactorsonratholedensityinthenorthernslopeofthetienshanmountainswithsatelliteremotesensingdata AT gepingluo analysisoftheimpactsofenvironmentalfactorsonratholedensityinthenorthernslopeofthetienshanmountainswithsatelliteremotesensingdata AT olafhellwich analysisoftheimpactsofenvironmentalfactorsonratholedensityinthenorthernslopeofthetienshanmountainswithsatelliteremotesensingdata AT chunbochen analysisoftheimpactsofenvironmentalfactorsonratholedensityinthenorthernslopeofthetienshanmountainswithsatelliteremotesensingdata AT timvandevoorde analysisoftheimpactsofenvironmentalfactorsonratholedensityinthenorthernslopeofthetienshanmountainswithsatelliteremotesensingdata AT alishirkurban analysisoftheimpactsofenvironmentalfactorsonratholedensityinthenorthernslopeofthetienshanmountainswithsatelliteremotesensingdata AT philippedemaeyer analysisoftheimpactsofenvironmentalfactorsonratholedensityinthenorthernslopeofthetienshanmountainswithsatelliteremotesensingdata AT shixinwu analysisoftheimpactsofenvironmentalfactorsonratholedensityinthenorthernslopeofthetienshanmountainswithsatelliteremotesensingdata
_version_	1718410518583050240

Analysis of the Impacts of Environmental Factors on Rat Hole Density in the Northern Slope of the Tienshan Mountains with Satellite Remote Sensing Data

Ejemplares similares