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山东省不同水土保持区划NDVI变化及影响因素
摘要点击 2869  全文点击 592  投稿时间:2023-10-16  修订日期:2023-12-27
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中文关键词  水土保持区划  归一化植被指数(NDVI)  地理探测器  影响因素  山东省
英文关键词  soil and water conservation division  Normalized Difference Vegetation Index(NDVI)  geographic detector  influencing factors  Shandong Province
DOI    10.13227/j.hjkx.20240933
作者单位E-mail
易文莹 南京林业大学南方现代林业协同创新中心, 江苏省水土保持与生态修复重点实验室, 南京 210037 1608290177@qq.com 
王海洋 南京林业大学南方现代林业协同创新中心, 江苏省水土保持与生态修复重点实验室, 南京 210037  
董明明 山东省水文中心, 济南 250002  
谭露 南京林业大学南方现代林业协同创新中心, 江苏省水土保持与生态修复重点实验室, 南京 210037 tanlu@njfu.edu.cn 
张焕朝 南京林业大学南方现代林业协同创新中心, 江苏省水土保持与生态修复重点实验室, 南京 210037  
徐鲁岳 南京林业大学南方现代林业协同创新中心, 江苏省水土保持与生态修复重点实验室, 南京 210037  
中文摘要
      探究植被动态变化及其影响因素对区域生态环境建设具有重要意义.基于2000~2020年NDVI数据集,采用Sen趋势分析法与重心迁移模型等方法分析了山东省NDVI时空变化特征,并基于人口、 气象、 地形、 土壤和植被等数据,利用地理探测器定量分析了全域及不同水土保持区划的NDVI空间分异影响因素.结果表明:①2000~2020年,山东省NDVI整体呈波动上升趋势,年内变化季节性特征显著且各区存在差异,Ⅲ-4-2t区、 Ⅲ-4-1xt区和Ⅲ-5-2w区年内NDVI呈单峰型变化,而Ⅲ-5-3fn区呈双峰型变化.②空间上,山东省NDVI呈西北、 西南高,北部及沿海地区较低的分布格局,21年间NDVI以“中高覆盖→高覆盖”转移为主,主要集中在Ⅲ-4-2t区东北部、 Ⅲ-4-1xt区西部及Ⅲ-5-2w区,61.47%区域植被覆盖呈正向演进趋势,高覆盖重心向东北方向迁移,生态环境整体向好.③土壤类型和人口密度是影响山东省NDVI的主导因子,q值分别为0.174和0.130;Ⅲ-5-3fn区、 Ⅲ-4-2t区和Ⅲ-4-1xt区的主导因子是人口密度,q值均高于0.22,Ⅲ-5-2w区的主导因子为土壤类型和植被类型,q值分别为0.326和0.227.各影响因子之间均表现出双因子增强和非线性增强的关系,其中Ⅲ-5-3fn区人口密度∩相对湿度q值最高,为0.257,Ⅲ-4-2t区、 Ⅲ-4-1xt区人口密度∩土壤类型q值最高,分别为0.297和0.378,Ⅲ-5-2w区土壤类型∩植被类型q值最高,为0.444.研究结果可为山东省生态环境建设提供有益参考,为制定分区植被保护策略提供科学依据.
英文摘要
      Exploring the characteristics of vegetation change and its influencing factors is essential to construct an ecological environment. Based on the NDVI dataset from 2000 to 2020, this study analyzed the spatial temporal attributes of NDVI changes in Shandong Province using the Sen trend analysis and the gravity center migration model. Furthermore, the spatial heterogeneity of NDVI and its influencing factors within the whole study area and different soil and water conservation zones were investigated using a Geo-detector model, considering population, hydrological, topographic, soil types, and vegetation types. The results were as follows: ① The NDVI in Shandong Province from 2000 to 2020 showed a fluctuating upward trend with significant seasonal characteristics that varied from different zones. The annual NDVI change showed a trend of single-peak in the Ⅲ-4-2t, Ⅲ-4-1xt, and Ⅲ-5-2w but showed a trend of double-peak in the Ⅲ-5-3fn. ② Regarding the spatial distribution, the NDVI was higher in the west-north and west-south areas and lower in the north and coastal areas. During the 21 years, the primary type of NDVI change was "medium-high coverage → high coverage," especially in the northeastern part of the soil conservation area of the Ⅲ-4-2t, the western part of the Ⅲ-4-1xt, and the ecological maintenance area of the Ⅲ-5-2w. Overall, 61.47% of the area had a positive trend of NDVI change with the gravity center of high coverage mitigating to the northeast, and the ecological environment was improved. ③ Soil types and population density were the dominant factors affecting NDVI in Shandong Province, with q values of 0.174 and 0.130, respectively. The chief factor in the Ⅲ-5-3fn, Ⅲ-4-2t, and Ⅲ-4-1xt was population density, with q values higher than 0.22, and the dominant factors in the Ⅲ-5-2w were soil types and vegetation types, with q values of 0.326 and 0.227, respectively. The interaction of the two factors enhanced the influence of the single factor, and the relationship between the influencing factors showed two-factor enhancement and nonlinear enhancement. The q-value of population density ∩ relative humidity was the highest, with a value of 0.257 in the Ⅲ-5-3fn. The q-value of population density ∩ soil types was the highest in the Ⅲ-4-2t and Ⅲ-4-1xt, reaching 0.297 and 0.378, respectively. The q-value of soil types ∩ vegetation types was the highest, with a value of 0.444 in the Ⅲ-5-2w. The results are expected to provide valuable references for improving the ecological environment of Shandong Province and lay a scientific foundation to make different conservation strategies for the individual soil and water conservation zones.

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