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2003-2017年陕西省NDVI时空变化及其影响因素
同英杰1,2, 文彦君1,2, 张翀1,2
1.宝鸡文理学院 陕西省灾害监测与机理模拟重点实验室, 陕西 宝鸡 721013;2.宝鸡文理学院 地理与环境学院, 陕西 宝鸡 721013
摘要:
[目的] 研究影响陕西省植被覆盖主导气候类和非气候类因子,为区域生态文明建设提供科学依据。[方法] 基于2003—2017年MODIS NDVI数据,利用趋势分析和地理探测器模型等方法,研究了气候类和非气候因素对陕西省植被覆盖的影响。[结果] ①2003—2017年陕西省NDVI空间分布总体上为改善趋势,但在不同植被类型区和生态区有所差异。②降水是影响陕西省植被覆盖空间分布的主导气候类因素,其他因素对当地植被覆盖影响程度有所差异。③降水与气温、日照、风速、相对湿度的交互作用对陕西省植被覆盖空间分布起主导作用。且气温的作用只有在和降水的交互作用下才能体现出来。④植被类型和地貌是陕西省植被覆盖空间分布的主导非气候类因素,其他因素的影响有所差异。⑤植被类型、地貌和土壤类型之间的交互作用对陕西省植被覆盖空间分布起主导作用。人口、GDP的影响也只有在与其他因素的交互作用下才能显现出来。[结论] 气候类因素的影响大于非气候类因素,气候类和非气候类因素的共同作用能够充分的解释植被覆盖空间分布。
关键词:  植被覆盖  线性趋势法  地理探测器  陕西省
DOI:10.13961/j.cnki.stbctb.2020.03.022
分类号:X87;Q948
基金项目:陕西省自然科学基础研究计划项目“基于深度机器学习的土壤水分高光谱遥感反演技术研究”(2018JQ4039)
Spatiotemporal Variation of NDVI and Its Influence Factors in Shaanxi Province During 2003-2017
Tong Yingjie1,2, Wen Yanjun1,2, Zhang Chong1,2
1.Shaanxi Key Laboratory of Disaster Monitoring and Mechanism Simulation, Baoji University of Arts and Sciences, Baoji, Shaanxi 721013, China;2.College of Geography and Environment, Baoji University of Arts and Sciences, Baoji, Shaanxi 721013, China
Abstract:
[Objective] The dominant climatic and non-climatic factors of vegetation cover in Shaanxi Province were studied in order to provide a scientific basis for the construction of regional ecological civilization.[Methods] Based on the MODIS normalized difference vegetation index (NDVI) data from 2003 to 2017, the effects of climatic and non-climatic factors on the vegetation coverage were studied using trend analysis and geographic detector in Shaanxi Province.[Results] ① The NDVI in Shaanxi Province generally improved from 2003 to 2017. However, there were differences between vegetation types and ecological areas. ② In terms of climatic factors, the spatial distribution of vegetation coverage was mainly affected by the precipitation in Shaanxi Province, and other climatic factors had different influences on local vegetation cover. ③ The interaction of precipitation and temperature, sunshine, wind speed, and relative humidity had a leading role in the spatial change of vegetation coverage in Shaanxi Province, whereas the sole interaction between temperature and precipitation had significant effect on vegetation coverage. ④ In terms of non-climatic factors, the spatial distribution of vegetation coverage was mainly affected by vegetation type and the topography in Shaanxi Province. ⑤ Vegetation types and landforms were the dominant non-climatic factors affecting the spatial distribution of vegetation coverage in Shaanxi Province. However, the impact of population and gross domestic product on vegetation cover could only be seen through interaction with other factors.[Conclusion] The influence of climatic factors was greater than that of non-climatic factors. The combined effect of climatic and non-climatic factors could completely explain the spatial distribution of vegetation coverage.
Key words:  vegetation cover  ordinary least squares  geographical detector  Shaanxi Province