《Table 3 Area and proportion of NDVI varying grades》

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《内蒙古植被NDVI变化趋势及影响因子数据集（2000–2015）》

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The factor detection of geographic detector model was used to assess the influences of natural and human factors on the NDVI，expressed using q values.The core rationale of the factor detection module is that geographic phenomenon always exists in a certain place in space and is affected by environmental factors.If certain environmental factors change with geographic phenomenon in a remarkably consistent spatial pattern，then it indicates these environment factors have great effect on the occurrence and development of geographic phenomenon[7].Across the whole study area，the order of the degree of influence on NDVI was as follows:annual precipitation>soil type>vegetation type>grain yield>number of livestock>per capita net income of farmers and herdsmen>number of rural households>rural population>landform type>rural labor force>annual average temperature>slope>slope aspect.The first three factors are natural factors and the following two are human factors，which suggests that the influence of natural factors is greater than that of human factors.Similarly，for non-pastoral counties，the order was annual precipitation>soil type>vegetation type>grain yield>per capita net income of farmers and herdsmen>number of livestock>number of rural households>landform type>rural population>rural labor force>annual average temperature>slope>slope （Figure 3），again showing that natural factors had a greater impact.In contrast，the order for non-pastoral counties was grain output>rural labor force>annual average temperature>soil type>annual precipitation>number of rural households>per capita net income of farmers and herdsmen>number of livestock>total rural population>landform type>slope>vegetation type>slope aspect （Figure 3）.These results indicate that human factors were dominant in such areas.