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Quantifying influences of natural factors on vegetation NDVI changes based on geographical detector in Sichuan, western China

机译:基于地理探测器的自然因子对植被NDVI变化的定量影响

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摘要

Many studies have revealed that Normalized Difference Vegetation Index (NDVI) is of vital importance for research of ground surface processes and climatic changes. However, identification of the causes responsible for vegetation changes remain challenging. Using Geographical Detector, a new spatial statistical approach, individual and interactive influences of natural factors on vegetation NDVI changes were quantified for the Sichuan province. The optimal characteristics of key natural factors that are beneficial to vegetation growth were determined. The vegetation cover in Sichuan for 2000 and 2015 is good overall; areas with upper-intermediate and high vegetation cover account for more than 88% of the total area. Regions with an NDVI higher than 0.4 are noticeably transformed; regions with upper intermediate vegetation cover (NDVI from 0.4 to 0.8) tend to decrease significantly, whereas regions with high vegetation cover (NDVI0.8) tend to increase significantly. Spatiotemporal variation in vegetation cover is very significant. Regions with high vegetation cover are distributed in the northeast part of the Sichuan Basin and on the northwestern Sichuan Plateau, whereas regions with low vegetation cover are distributed in urban agglomerative regions in the central part of the Sichuan Basin. Soil types, elevation, and annual mean temperature can satisfactorily account for vegetation changes. Natural factors have an interactive influence on NDVI. The synergistic effect of natural factors is manifested as mutual enhancement and nonlinear enhancement, and the interaction of two natural factors strengthens the influence of each individual natural factor. Natural factors within a favourable value range or favourable landform factors serve to promote and intervene in vegetation changes, adapt to climatic changes, and buffer against the effects of vegetation changes. (C) 2019 Elsevier Ltd. All rights reserved.
机译:许多研究表明,归一化植被指数(NDVI)对于研究地表过程和气候变化至关重要。然而,查明造成植被变化的原因仍然具有挑战性。使用地理检测器,一种新的空间统计方法,量化了四川省自然因素对植被NDVI变化的个体和互动影响。确定了有利于植被生长的关键自然因素的最佳特征。四川2000年和2015年的植被覆盖总体良好。中高植被覆盖地区占总面积的88%以上。 NDVI高于0.4的区域将发生明显转换;具有较高中间植被覆盖度(NDVI从0.4到0.8)的区域倾向于显着减少,而具有较高植被覆盖度(NDVI> 0.8)的区域则倾向于显着增加。植被覆盖的时空变化非常显着。植被覆盖度高的区域分布在四川盆地的东北部和川西北高原,而植被覆盖度低的区域分布在四川盆地中部的城市集聚区。土壤类型,海拔和年平均温度可以令人满意地解释植被变化。自然因素对NDVI具有交互作用。自然因素的协同效应表现为相互增强和非线性增强,两个自然因素的相互作用增强了各个自然因素的影响。处于有利值范围内的自然因素或有利地貌因素有助于促进和干预植被变化,适应气候变化并缓冲植被变化的影响。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2019年第1期|353-367|共15页
  • 作者单位

    Sichuan Normal Univ, Inst Geog & Resources Sci, Chengdu 610068, Sichuan, Peoples R China|Sichuan Normal Univ, Minist Educ, Key Lab Land Resources Evaluat & Monitoring South, Chengdu 610068, Sichuan, Peoples R China;

    Sichuan Normal Univ, Inst Geog & Resources Sci, Chengdu 610068, Sichuan, Peoples R China|Sichuan Normal Univ, Minist Educ, Key Lab Land Resources Evaluat & Monitoring South, Chengdu 610068, Sichuan, Peoples R China;

    Sichuan Normal Univ, Inst Geog & Resources Sci, Chengdu 610068, Sichuan, Peoples R China|Sichuan Normal Univ, Minist Educ, Key Lab Land Resources Evaluat & Monitoring South, Chengdu 610068, Sichuan, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vegetation NDVI; Geographical detector; Natural factors; Geographic information system (GIS); Sichuan province;

    机译:植被NDVI;地理探测器;自然因素;地理信息系统(GIS);四川省;

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