| 2000~2023年渭河流域植被绿度与人类活动强度空间关联模式 |
| 摘要点击 220 全文点击 4 投稿时间：2025-05-11 修订日期：2025-07-31 |
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| 中文关键词 植被绿度 人类活动强度（HAI） 时空演变 地理探测器 贡献率 渭河流域 |
| 英文关键词 vegetation greenness human activity intensity（HAI） evolution of space-time Geodetector contribution rate the Weihe River Basin |
| DOI 10.13227/j.hjkx.202505089 |
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| 中文摘要 |
| 在全球气候变化与人类活动日益加剧的背景下，探究植被绿度与人类活动强度的时空耦合机制，对揭示不同区域人-地关系的差异化特征具有重要意义. 依托2000~2023年MODIS NDVI数据，结合Theil-Sen趋势分析、Mann-Kendall显著性检验、人类活动强度指数（HAI）、双变量空间自相关以及地理探测器，系统地解析了渭河流域植被绿度在时空维度上的演变特征，并深入剖析植被绿度与气候因素和人类活动之间的内在联系. 结果表明：①2000~2023年期间，植被绿度呈现出良好水平，年均增长率达到0.453%. ②人类活动强度总体上呈现“东南高，西北低”的空间分布格局；低强度面积减少了17.41个百分点，中低强度、中强度、中高强度和高强度面积分别增加了2.83、5.95、4.42和4.21个百分点. ③植被绿度与人类活动强度的时空关联特征反映了不同区域人地关系的差异化特征，高绿度-高强度面积下降了4.52％，低绿度-高强度面积增加了1.23％，高绿度-低强度面积增加了2.01%. ④植被绿度时空分异特征是多因子协同作用的结果，2020年降水量的贡献率为53.53%，2023年降水量与人口密度交互作用的贡献率为70.66%. 研究结果可为渭河流域生态保护和高质量发展提供科学依据. |
| 英文摘要 |
| Against the backdrop of the increasingly intensified global climate change and human activities， exploring the spatio-temporal coupling mechanism between vegetation greenness and human activity intensity is of great significance to reveal the differentiated characteristics of the human-land relationship in different regions. Based on MODIS NDVI data from 2000 to 2023， combined with Theil-Sen trend analysis， Mann-Kendall significance test， Human Activity Intensity Index （HAI）， bivariate spatial autocorrelation， and Geodetectors， the evolution characteristics of vegetation greenness in the temporal and spatial dimensions in the Weihe River Basin were systematically analyzed. Additionally， the intrinsic connection between vegetation greenness and climatic factors as well as human activities were thoroughly investigated. The results showed that： ① During the period from 2000 to 2023， the vegetation greenness showed a good level， with an average annual growth rate of 0.453%. ② The intensity of human activities generally showed the spatial distribution pattern of high in the southeast and low in the northwest. The area of low strength decreased by 17.41 percentage point， and the areas of medium-low strength， medium strength， medium-high strength， and high strength increased by 2.83， 5.95， 4.42， and 4.21 percentage point， respectively. ③ The spatial and temporal correlation characteristics of vegetation greenness and human activity intensity reflected the different characteristics of human-land relationship in different regions. The area of high greenness-high intensity decreased by 4.52%， the area of low greenness-high intensity increased by 1.23%， and the area of high greenness-low intensity increased by 2.01%. ④ The contribution rate of rainfall was 53.53% in 2020， and the contribution rate of interaction between rainfall and population density was 70.66% in 2023. The research results can provide scientific basis for ecological protection and high-quality development in the Weihe River Basin. |
