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Article

Analysis of Differences in the Spatial Distribution among Terrestrial Mammals Using Geodetector—A Case Study of China

1
Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
2
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing University, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2021, 10(1), 21; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010021
Received: 29 October 2020 / Revised: 24 December 2020 / Accepted: 6 January 2021 / Published: 9 January 2021
(This article belongs to the Special Issue Application of GIS for Biodiversity Research)
The survival and distribution of animals cannot be separated from a certain environment. How patterns in mammalian species depend on the environment remain unclear. This study incorporating spatial data on climate, precipitation, topography, and vegetation quantitatively analyzed the influence of specific geographical factors on the spatial distribution of terrestrial mammalian richness using the Geodetector model. We used the spatial analysis method of geographical information systems (GIS), separating the mammalian distribution of 621 species into 10 by 10 km grids to measure spatial richness. Our results showed that there were significant spatial differences in terrestrial mammalian richness in China. There was a low richness in the east and west, but high richness in the south. Individual factor detection results showed that annual precipitation (AP) and the minimum temperature of the coldest month (MTCM) were the dominant factors affecting the spatial pattern of mammal richness in China. Patterns in the distribution of species richness had distinct characteristics for different mammalian orders and were influenced by different environmental factors. The richness distribution of most orders was mainly affected by MTCM and AP. Interactive detection results showed that interacting factors in pairs play much bigger roles in the spatial distribution of species richness than individual factors. The synergistic effect of elevation with AP and MTCM best explained the distribution differences of species richness. We found that the Geodetector model is a valuable tool, hoping to be more widely used in biogeography. View Full-Text
Keywords: environmental factor; Geodetector; GIS; mammal richness; spatial distribution difference; terrestrial mammals environmental factor; Geodetector; GIS; mammal richness; spatial distribution difference; terrestrial mammals
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MDPI and ACS Style

Chi, Y.; Qian, T.; Sheng, C.; Xi, C.; Wang, J. Analysis of Differences in the Spatial Distribution among Terrestrial Mammals Using Geodetector—A Case Study of China. ISPRS Int. J. Geo-Inf. 2021, 10, 21. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010021

AMA Style

Chi Y, Qian T, Sheng C, Xi C, Wang J. Analysis of Differences in the Spatial Distribution among Terrestrial Mammals Using Geodetector—A Case Study of China. ISPRS International Journal of Geo-Information. 2021; 10(1):21. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010021

Chicago/Turabian Style

Chi, Yao, Tianlu Qian, Caiying Sheng, Changbai Xi, and Jiechen Wang. 2021. "Analysis of Differences in the Spatial Distribution among Terrestrial Mammals Using Geodetector—A Case Study of China" ISPRS International Journal of Geo-Information 10, no. 1: 21. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010021

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