基于InVEST模型的祁连山地区土壤保持功能时空演变及驱动因素分析

石建丽; 仲俊涛; 刘美娟

doi:10.13961/j.cnki.stbctb.2024.02.045

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基于InVEST模型的祁连山地区土壤保持功能时空演变及驱动因素分析

试验研究

- 基于InVEST模型的祁连山地区土壤保持功能时空演变及驱动因素分析
- Spatiotemporal Evolution and Driving Factors of Soil Conservation Function in Qilian Mountains Based on InVEST Model
- 水土保持通报 2024年44卷第2期页码：455-464
- 作者机构：
  
  1. 青海师范大学地理科学学院,青海,西宁,810008
  2. 西安科技大学测绘科学与技术学院,陕西,西安,710054
- 作者简介：
- 基金信息：
  
  青海省自然科学基金项目“黄河源区草地生态系统服务模拟与生态补偿标准厘定”(2022-ZJ-906);国家自然科学基金项目(42001263)
- DOI：10.13961/j.cnki.stbctb.2024.02.045
  中图分类号： K901.2
- 纸质出版：2024
- 稿件说明：
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石建丽, 仲俊涛, 刘美娟. 基于InVEST模型的祁连山地区土壤保持功能时空演变及驱动因素分析[J]. 水土保持通报, 2024,44(2):455-464.

ShiJianli, ZhongJuntao, Liu Meijuan. Spatiotemporal Evolution and Driving Factors of Soil Conservation Function in Qilian Mountains Based on InVEST Model[J]. Bulletin of Soiland Water Conservation, 2024, 44(2): 455-464.
石建丽, 仲俊涛, 刘美娟. 基于InVEST模型的祁连山地区土壤保持功能时空演变及驱动因素分析[J]. 水土保持通报, 2024,44(2):455-464. DOI： 10.13961/j.cnki.stbctb.2024.02.045.

ShiJianli, ZhongJuntao, Liu Meijuan. Spatiotemporal Evolution and Driving Factors of Soil Conservation Function in Qilian Mountains Based on InVEST Model[J]. Bulletin of Soiland Water Conservation, 2024, 44(2): 455-464. DOI： 10.13961/j.cnki.stbctb.2024.02.045.

摘要

[目的

]

探讨祁连山地区土壤保持服务时空变化特征及空间异质性影响因素，为该区生态保护与可持续发展提供科学参考。 [方法

]

基于2005—2020年4期土地利用数据，结合地形、土壤和气象数据，运用InVEST模型及地理探测器方法，模拟土壤保持服务、探究土壤保持量时空变化特征及其价值，对其空间异质性进行归因分析。[结果

]

①祁连山地区2005—2020年土壤保持量变化区间为5.02×10

～7.89×10

t，呈下降趋势；土壤保持量在空间分布上表现为东南高西北低，高值区均集中在研究区青海湖东侧和祁连山脉区域。 ②不同土地利用类型中，草地土壤保持总量最大，林地土壤保持强度最大；土壤保持强度随海拔增加呈先增后减的单峰曲线，随坡度增加呈线性增大。 ③研究区年均土壤保持服务价值为3.912×10

元，以保持土壤肥力的价值E

为主。 ④地理探测结果显示：坡度和土壤类型对土壤保持空间异质性的解释力最高，整体上以植被覆盖度和土壤类型交互作用解释力最高。 [结论

]

坡度和土壤类型共同作用于植被覆盖度。植被覆盖度为影响土壤保持服务空间异质性的主导因子，应将部分耕地转为草地或林地，加大生态保护力度，提高植被覆盖度，减少水土流失，增加土壤保持能力，从而改善生态环境。

Abstract

The characteristics of spatial and temporal changes in soil conservation services and the attribution of spatial heterogeneity in the Qilian Mountains were explored

in order to provide scientific reference for the ecological protection and sustainable development of the region. [Methods] Based on the four periods of land use data from 2005 to 2020

combined with topographic

soil and meteorological data

we used the InVEST model and geoprobe method to simulate the soil conservation service

explore the spatial and temporal characteristics of soil conservation and its value

and attribute its spatial heterogeneity. [Results] ①The soil conservation volume in Qilian Mountains area from 2005 to 2020 ranged from 5.02×109 t to 7.89×109 t

with a decreasing trend; the spatial distribution of soil conservation volume was high in the southeast and low in the northwest

and the high value areas were concentrated in the east side of the Qinghai Lake and the Qilian Mountains range in the study area. ② different land use types

grassland soil retention of the largest total amount of soil

forest soil retention intensity was the largest. Soil retention intensity with the increase in elevation was first increased and then decreased in the single peak curve

and with the increase in slope was linearly increasing. ③The average annual value of soil conservation services in the study area was 3.912×1013 yuan

with the value of soil fertility conservation E1 as the main value. ④ The results of geographic exploration showed that slope and soil type had the highest explanatory power for the spatial heterogeneity of soil conservation

and the interaction between vegetation cover and soil type had the highest explanatory power. [Conclusion] Slope and soil type jointly affect vegetation cover

and vegetation cover is the dominant factor influencing the spatial heterogeneity of soil conservation services. It is necessary to convert part of the cultivated land into grassland or woodland

increase ecological protection

improve vegetation cover

reduce soil erosion

increase soil conservation capacity

and thus improve the ecological environment.

关键词

Keywords

references

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