干旱区生态系统极易受到气候及土地利用变化的影响，其生物多样性格局及其形成机制是重要的生态学问题。基于新疆地区鸟类及哺乳动物物种多样性数据，结合气候、地形和长时间序列的植被遥感参数产品FAPAR数据等，主要在不同的土地利用类型及海拔带上采用单因子相关分析方法探讨了物种丰富度格局的形成机制。总体来说，不同生境类型中，植被遥感参数因子（DHI、NDVI等）与两种类群物种丰富度分布的相关性强于与气候因子（温度、降水）的相关性。具体而言，植被遥感参数因子中，基于FAPAR的生境指数因子与丰富度的相关性大于基于植被指数的因子（DHI_cum > NDVI_cum > EVI_cum）；气候因子中，在草地生境或者较低的海拔上，年均降水因子对于丰富度分布的解释力强于年均温度因子。这表明在新疆地区，影响鸟类与哺乳类动物物种丰富度分布的主导理论是生境异质性假说与环境稳定性假说，其解释力在多种生境内均强于生产力与环境热量。

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.