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山东省不同水土保持区归一化植被指数变化及其影响因素

[NDVI Changes and Influencing Factors of Different Soil and Water Conservation Zones in Shandong Province].

作者信息

Yi Wen-Ying, Wang Hai-Yang, Dong Ming-Ming, Tan Lu, Zhang Huan-Chao, Xu Lu-Yue

机构信息

Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu Province, Jiangsu Provincial Key Laboratory of Soil Erosion and Ecological Restoration, Nanjing Forestry University, Nanjing 210037, China.

Shandong Hydrology Center, Jinan 250002, China.

出版信息

Huan Jing Ke Xue. 2024 Sep 8;45(9):5329-5340. doi: 10.13227/j.hjkx.202310108.

Abstract

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 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 values higher than 0.22, and the dominant factors in the Ⅲ-5-2w were soil types and vegetation types, with 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 -value of population density ∩ relative humidity was the highest, with a value of 0.257 in the Ⅲ-5-3fn. The -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 -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.

摘要

探索植被变化特征及其影响因素对于构建生态环境至关重要。基于2000年至2020年的归一化植被指数(NDVI)数据集,本研究运用森趋势分析和重心迁移模型,分析了山东省NDVI变化的时空属性。此外,利用地理探测器模型,考虑人口、水文、地形、土壤类型和植被类型,研究了整个研究区域以及不同水土保持区NDVI及其影响因素的空间异质性。结果如下:①2000年至2020年山东省NDVI呈波动上升趋势,具有明显的季节特征,不同区域有所差异。Ⅲ-4-2t、Ⅲ-4-1xt和Ⅲ-5-2w区域的年NDVI变化呈单峰趋势,而Ⅲ-5-3fn区域呈双峰趋势。②在空间分布上,鲁西北和鲁西南地区的NDVI较高,北部和沿海地区较低。在这21年中,NDVI变化的主要类型是“中高覆盖→高覆盖”,特别是在Ⅲ-4-2t土壤保持区的东北部、Ⅲ-4-1xt的西部以及Ⅲ-5-2w的生态维护区。总体而言,61.47%的区域NDVI变化呈正向趋势,高覆盖重心向东北方向移动,生态环境得到改善。③土壤类型和人口密度是影响山东省NDVI的主导因素,q值分别为0.174和0.130。Ⅲ-5-3fn、Ⅲ-4-2t和Ⅲ-4-1xt区域的主要因素是人口密度,q值高于0.22,Ⅲ-5-2w区域的主导因素是土壤类型和植被类型,q值分别为0.326和0.227。两个因素的相互作用增强了单因素的影响,影响因素之间的关系表现为双因素增强和非线性增强。人口密度∩相对湿度的q值最高,在Ⅲ-5-3fn区域为0.257。人口密度∩土壤类型的q值在Ⅲ-4-2t和Ⅲ-4-1xt区域最高,分别达到0.297和0.378。土壤类型∩植被类型的q值最高,在Ⅲ-5-2w区域为0.444。研究结果有望为改善山东省生态环境提供有价值的参考,并为针对不同水土保持区制定差异化的保护策略奠定科学基础。

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