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任立清,陈鹏,杨阳,等.自然因子对开都河流域植被NDVI变化的地理探测[J].农业工程,2023,13(6):65-73. DOI: 10.19998/j.cnki.2095-1795.2023.06.012
引用本文: 任立清,陈鹏,杨阳,等.自然因子对开都河流域植被NDVI变化的地理探测[J].农业工程,2023,13(6):65-73. DOI: 10.19998/j.cnki.2095-1795.2023.06.012
REN Liqing,CHEN Peng,YANG Yang,et al.Geographical detection of vegetation NDVI changes in the Kaidu River Basin based on natural factors[J].Agricultural Engineering,2023,13(6):65-73. DOI: 10.19998/j.cnki.2095-1795.2023.06.012
Citation: REN Liqing,CHEN Peng,YANG Yang,et al.Geographical detection of vegetation NDVI changes in the Kaidu River Basin based on natural factors[J].Agricultural Engineering,2023,13(6):65-73. DOI: 10.19998/j.cnki.2095-1795.2023.06.012

自然因子对开都河流域植被NDVI变化的地理探测

Geographical Detection of Vegetation NDVI Changes in the Kaidu River Basin Based on Natural Factors

  • 摘要: 为揭示自然因子及因子之间的交互作用对开都河流域植被时空变化特征,以归一化植被指数(以下简称植被 NDVI)为指标,结合11种自然因子,采用线性回归分析和地理探测器模型,分析了2001—2020年开都河流域植被NDVI的时空变化、空间分异及驱动力。结果表明,2001—2020年,研究区植被NDVI总体呈上升趋势,中高和高植被覆盖区显著改善,植被NDVI呈西高东低分布,低、中植被覆盖向中高和高植被覆盖转化明显;高程的解释力最高(40.30%),主导植被NDVI时空格局;自然因子对植被NDVI影响存在交互作用,以双变量增强和非线性增强效应为主,其中尤以土壤类型和坡度的交互作用影响力最强。分析了研究区适宜植被生长的各因子范围或类型,可为当地植被恢复政策提供有益参考。

     

    Abstract: In order to reveal effects of natural factors and their interaction on temporal and spatial changes of vegetation in Kaidu River Basin, using NDVI as research index, combined with 11 natural factors, using linear regression analysis method and geographic detector model, temporal and spatial variation and its driving forces of NDVI in the Kaidu River Basin from 2001 to 2020 were analyzed.Results showed that NDVI in study areas showed an increasing trend, middle and high vegetation cover areas improved significantly from 2001 to 2020.The NDVI was high in the west and low in the east, transformation of low and middle vegetation cover to middle and high vegetation cover was obvious.DEM had the highest explanatory power(40.3%), it dominated spatio-temporal pattern of NDVI. Natural factors had interactive effects on NDVI, especially interaction between soil type and slope had the strongest influence.The mode of interaction was dominated by bivariate enhancement and nonlinear enhancement effects.Range and type of factors suitable for vegetation growth in the study area was analyzed, which could provide useful reference for local vegetation restoration measures.

     

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