科研之友
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摘要
Accurately identifying the dominant factor of karst ecosystem services is a prerequisite for the rocky desertification control. However, the explanatory power of environmental factors for the spatial distribution of ecosystem services is affected by scaling, and the quantitative research on the scale effect still needs to be further strengthened. This study used Geodetector to access the explanatory power of environmental factors on soil erosion and water yield at different spatial resolutions, and then explored their differences in three geomorphological types. Results showed that slope and vegetation coverage were the dominant factors of soil erosion, and the interactive explanatory power between the two factors was stronger. Affected by the universality of topographic relief and landscape fragmentation in the study area, the explanatory of slope and land use type on soil erosion was optimal at a low resolution. Precipitation, elevation, and land use type were the dominant factors for the spatial heterogeneity of water yield, and the interaction between precipitation and land use type could explain more than 95% of water yield. The spatial variability of elevation in different geomorphological types affected its optimal explanatory power, especially in the terrace and hill type areas. The spatial variability of elevation was weak, and its explanatory power was optimal at a high resolution. However, in the mountainous areas, the spatial variability of elevation was strong, and its explanatory power was optimal at a low resolution. This study quantitatively identified the optimal explanatory power of ecosystem service variables through multi-scale analysis, which aimed to provide a way and basis for accurate identification of the dominant factors of karst mountain ecosystem services and zoning optimization.
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