Spatial patterns and correlations in the richness of bird and mammal species and environmental factors in Xinjiang, China

被引：0
|
作者：
Long C. [1 ]
Wan H. [2 ]
Li L. [3 ]
Wang J. [1 ]
机构：
[1] Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing
[2] Satellite Environment Application Center of Ministry of Environmental Protection, Beijing
[3] Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing
来源：
Yaogan Xuebao/Journal of Remote Sensing | 2019年 / 23卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Correlativity; Environmental variables; Parameter; Patterns of species richness; Xinjiang;
D O I：
10.11834/jrs.20197538
中图分类号：
学科分类号：
摘要：
The distinction of local biodiversity in arid areas is complicated and controversial. Hence, the investigation of the spatial pattern of species richness and its causes in Xinjiang can be used as the basis for biodiversity conservation in the region, and it is also important for regional biodiversity research. On the basis of the data on the distribution of birds and mammals in Xinjiang and long-time series environmental data, such as climate, topography, and remote sensing (FAPAR), this study investigated the species richness and environmental spatial pattern of birds and mammals. Furthermore, the forming mechanism of the disparity pattern of species richness was evaluated through a single-factor correlation analysis used in various land-use types and elevation zones. This research was based on the analysis of the richness of bird and mammal species and the temporal and spatial distribution of environmental factors in Xinjiang. A range of relevant environmental elements were utilized. Then, correlation and linear regression analyses were used to investigate the independent influence of environmental factors on the overall abundance pattern of birds and mammals in a specific living environment in Xinjiang. Finally, the main environmental factors that determine the richness pattern of birds and mammals in specific habitats were selected according to the correlation coefficient. Statistical analysis was realized via the MATLAB software. In general, among the various habitat types, the remote sensing parameter factors (e.g., DHI, NDVI, etc.) are more closely related to the species richness distribution of the two groups than to the climatic factors (e.g., temperature and precipitation). Specifically, among remote sensing parameter factors, the correlation between the habitat index factor based on FAPAR and richness was greater than that of the environmental factor based on vegetation index (DHI_cum>NDVI-cum>EVI-cum). Among the climatic factors, in grassland habitats or at low altitudes, the average annual precipitation factor was better than the average annual temperature factor in verifying the richness distribution. In Xinjiang, the dominant factors affecting the distribution of the richness of bird and mammal species were habitat heterogeneity and environmental stability. Their explanatory power was stronger than the productivity and the environment heat in many types of generation territories. Habitat heterogeneity was the main factor affecting the spatial distribution pattern of richness of birds and mammalian species in Xinjiang, where 70% of the arid areas are not covered by vegetation. Hence, habitat heterogeneity was the main factor affecting the spatial distribution pattern of the richness of bird and mammal species in Xinjiang. Species resources in Xinjiang were abundant, and the overall pattern was complex. The covariation trend of various species and environmental factors was not completely consistent. However, a considerable number of species. © 2019, Science Press. All right reserved.
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页码：155 / 165
页数：10
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