1. 首都师范大学 资源环境与旅游学院,北京,100048
2. 首都师范大学 水资源安全北京实验室,北京,100048
纸质出版:2025
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王兰, 李小娟, 和继军, 等. 基于InVEST模型的山东省临沂市土壤保持能力时空变化及其影响因素[J]. 水土保持通报, 2025,45(1):337-345.
Wang Lan, Li Xiaojuan, He Jijun, et al. Spatiotemporal changes and influencing factors of soil conservation capacity in Linyi City of Shandong Province based on InVEST model[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 337-345.
王兰, 李小娟, 和继军, 等. 基于InVEST模型的山东省临沂市土壤保持能力时空变化及其影响因素[J]. 水土保持通报, 2025,45(1):337-345. DOI: 10.13961/j.cnki.stbctb.2025.01.035.
Wang Lan, Li Xiaojuan, He Jijun, et al. Spatiotemporal changes and influencing factors of soil conservation capacity in Linyi City of Shandong Province based on InVEST model[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 337-345. DOI: 10.13961/j.cnki.stbctb.2025.01.035.
[目的
]
探究山东省临沂市土壤保持能力在“山水工程”实施前后的时空变化及影响因素,为该地区评估工程实施效果以及为未来规划提供科学支持。[方法
]
基于InVEST模型评估临沂市2018,2020和2022年土壤保持能力时空变化特征,从时间和空间两个维度分析土壤保持能力与影响因素的响应关系。[结果
]
临沂市2018,2020和2022年的土壤保持能力分别为23.12,29.62和53.70 t/(hm
2
·a),空间分布上呈现“西北高—东南低”的特征,在降水、土壤、地形和植被4大影响因素中,地形是影响其空间分布的主要因素,而年际变化则主要由降水驱动。[结论
]
临沂市土壤保持能力呈现显著提高的态势,具有明显的空间差异性和年际变化特征。降水在影响土壤保持能力年际变化方面的作用明显优于生态工程的作用,但生态工程贡献率有所上升。
[Objective] The spatiotemporal changes and factors influencing soil conservation capacity in Linyi City
Shandong Province
before and after the implementation of the “Mountain-River Project” were investigated
in order to provide scientific support for evaluating the project’s effectiveness and future planning in the region. [Methods] Using the InVEST model
the spatiotemporal characteristics of the soil conservation capacity in Linyi City of the years 2018
2020
and 2022 was assessed. The response relationship between the soil conservation capacity and influencing factors was analyzed from both temporal and spatial dimensions. [Results] The soil conservation capacity of Linyi City in 2018
2020
and 2022 was 23.12
29.62
and 53.70 t/(hm2·a)
respectively. Spatially
soil conservation capacity showed a pattern of “higher in the northwest-lower in the southeast.” Among the four main influencing factors
precipitation
soil
topography
and vegetation
topography was the primary factor affecting spatial distribution
whereas interannual variation was mainly driven by precipitation. [Conclusion] The soil conservation capacity of Linyi City showed a significant upward trend with distinct spatial and interannual variations. Precipitation plays a more prominent role than ecological engineering in influencing the interannual variation in soil conservation capacity; however
the contribution of ecological engineering has increased.
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