欢迎访问《应用生态学报》官方网站,今天是

应用生态学报 ›› 2026, Vol. 37 ›› Issue (5): 1629-1640.doi: 10.13287/j.1001-9332.202605.021

• 研究论文 • 上一篇    下一篇

地貌分区视角下的山西省水源涵养价值时空演变及驱动机制

王京伟1*, 岳静1, 闫正1, 郭圣浩2, 何秋琴3,4   

  1. 1山西财经大学资源环境学院, 太原 030006;
    2山西省水利发展中心, 太原 030002;
    3中国科学院城市环境研究所, 福建厦门 361021;
    4中国科学院大学, 北京 100049
  • 收稿日期:2025-11-15 接受日期:2026-03-09 出版日期:2026-05-18 发布日期:2026-11-18
  • 通讯作者: * E-mail: wjwsxufe@163.com
  • 作者简介:王京伟, 男, 1982年生, 副教授。主要从事生态系统服务价值评估及水土资源高效利用研究。E-mail: wjwsxufe@163.com
  • 基金资助:
    山西财经大学人才引进项目(Z18243)和2025年度山西省人力资源高质量发展重大专项研究课题“政策性生态项目促进农民工高质量就业的政策协同机制”(SXRLZYYB2518)

Spatiotemporal variations and driving mechanisms of water conservation value in Shanxi Province from a geomorphic zoning perspective.

WANG Jingwei1*, YUE Jing1, YAN Zheng1, GUO Shenghao2, HE Qiuqing3,4   

  1. 1College of Resources and Environment, Shanxi University of Finance and Economics, Taiyuan 030006, China;
    2Shanxi Water Resources Development Research Institute, Taiyuan 030002, China;
    3Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, Fujian, China;
    4University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2025-11-15 Accepted:2026-03-09 Online:2026-05-18 Published:2026-11-18

摘要: 水源涵养价值的精准核算是衡量生态建设成效和推动生态产品价值实现的关键。山西省生态脆弱且为国家生态工程重点区,但其生态建设成果价值的精准核算滞后。本研究综合运用InVEST模型、蒙特卡罗模型和基于地貌分区差异化定价的影子工程法,分析了2005—2023年山西省水源涵养量及其价值的时空格局,并融合地理探测器和主成分分析揭示其驱动机制。结果表明:2005—2023年,全省水源涵养量总体呈增加趋势,其经济价值增幅(66.8%)远高于水源涵养量增幅(8.7%)。水源涵养量表现为南高北低的格局;水源涵养价值增长率则呈现北高南低、西升东缓的特点,晋西吕梁山区和晋北地区增长尤为显著,特别是强烈侵蚀黄土梁地貌区价值增幅高达91.9%。水源涵养价值空间分异的主导因子与交互机制具有明显的地貌依赖性,在人类生产活动密集的过渡地貌区,归一化植被指数与建设用地的协同效应起主导作用;在生态脆弱的黄土区和晋北干旱区,气候-植被协同则是关键调控机制。人工生态工程在生态脆弱区产生了显著的边际价值回报,未来生态管理应转向“分区施策、精准增质”,在晋西、晋北等高价值回报区应重点提升植被覆盖和草地质量,在晋东南等高禀赋区应强化生态空间保护和结构优化,在全省尺度应严守生态空间底线,以系统提升水源涵养价值。

关键词: 水源涵养价值, InVEST模型, 影子工程法, 地理探测器

Abstract: Accurate quantification of the value of water conservation function is crucial for assessing the effectiveness of ecological restoration and promoting the realization of ecological product value. Shanxi Province, characteri-zed by fragile ecosystems, has been a key implementation area for national ecological projects. However, precise economic valuation of the ecological restoration outcomes in Shanxi Province remains limited. To address this, we integrated the InVEST model, Monte Carlo model, and a shadow project approach incorporating geomorphic zoning-based differential pricing to analyze the spatiotemporal variations of water conservation capacity and its economic value in Shanxi Province from 2005 to 2023. The driving mechanisms were further investigated using Geodetector and principal component analysis. The results showed that the total water conservation capacity in the province showed an overall increasing trend from 2005 to 2023, with the increase in its economic value (66.8%) being much higher than the increase in water conservation capacity (8.7%). Water conservation capacity exhibited a spatial pattern of higher in the south and lower in the north, whereas the growth rate of water conservation value pre-sented characteristics of higher in the north and lower in the south, rising in the west and slow in the east. The Lyuliang mountainous area in western Shanxi and the northern region showed particularly significant growth, with the strongly eroded loess ridge-hill area recording the highest value increase of 91.9%. The dominant factors and interactive mechanisms driving spatial variations of water conservation value demonstrated clear geomorphic dependence. In transitional geomorphic zones with intensive human activities, the synergistic effect between normalized difference vegetation index, and construction land played a dominant role. In ecologically vulnerable loess zones and the arid areas of northern Shanxi, the climate-vegetation synergy served as the key regulatory mechanism. Artificial ecological projects had generated significant marginal value returns in ecologically fragile zones. Future ecological management should shift towards a “zonal governance, precision enhancement” strategy. The high-value-return areas such as western and northern Shanxi should focus on improving vegetation cover and grassland quality. The high-capacity areas such as southeastern Shanxi should strengthen ecological space protection and structural optimization. At the provincial scale, the ecological space baseline must be strictly maintained to systematically enhance water conservation value.

Key words: water conservation value, InVEST model, shadow project method, geodetector