Spatial Heterogeneous Driving Effects of Multi-dimensional Land Use Transition on Ecosystem Services in Mining Areas of Shandong Province

doi:10.16258/j.cnki.1674-5906.2026.04.007

Ecology and Environmental Sciences ›› 2026, Vol. 35 ›› Issue (4): 563-574.DOI: 10.16258/j.cnki.1674-5906.2026.04.007

• Research Article [Ecology] • Previous Articles Next Articles

Spatial Heterogeneous Driving Effects of Multi-dimensional Land Use Transition on Ecosystem Services in Mining Areas of Shandong Province

FU Zhihua¹(), ZHANG Hanwei²^,^*(), WANG Jing¹

¹ Department of Resources and Mechanical Engineering, Lüliang University, Lüliang 033000, P. R. China
² School of Civil Engineering and Spatial Information, Shandong University of Technology, Zibo 255000, P. R. China

Received:2025-08-13 Revised:2025-11-30 Accepted:2026-02-12 Online:2026-04-18 Published:2026-04-14

山东省矿区多维度土地利用转型对生态系统服务的空间异质驱动效应

付智华¹(), 张捍卫²^,^*(), 王晶¹

¹ 吕梁学院资源与机械工程系，山西吕梁 033000
² 山东理工大学建筑工程与空间信息学院，山东淄博 255000

通讯作者: *E-mail: zhanwei800@163.com
作者简介:付智华（1987年生），女，助教，硕士，研究方向自然资源调查与监测等方面的工作。E-mail: FZH198721@163.com
基金资助:
国家自然科学基金项目(12473068)

Abstract

Abstract:

Ecological degradation caused by land use transition in mining areas is severely restricting the sustainable development of resource cities. To reveal the dynamic feedback mechanism between land use transition and ecosystem services in resource-based regions, this study took typical coal mining areas in Shandong Province as the research object, constructed a “structure intensity dynamics” multi-dimensional analysis framework, and explored land use evolution and its ecological effects from 1990 to 2020. Based on the InVEST model, four key ecosystem services were evaluated, and combined with the geographical detector and spatial autocorrelation methods, the driving mechanism of land use transition on the pattern of ecosystem services was clarified. The results showed that: 1) from 1990 to 2020, cultivated land in the mining areas decreased by 6.08%, construction land expanded by 7.68%, and water bodies increased by 2.71% due to coal mining subsidence; areas with medium and low land use intensity accounted for 65.39%, and the high-value areas (mining areas 1 and 5) expanded by 6.90%. 2) Ecosystem services showed a pattern of “decline in the north and stability in the south”; carbon storage, habitat quality, and water yield decreased by 12.3%, 9.7%, and 15.8%, respectively, with significant degradation in mining areas 3 and 6. 3) Land use intensity had the strongest explanatory power for ecosystem services (q>0.65), and mining areas 5 and 6 formed agglomerations characterized by “high transition intensity and high ecological degradation”. The study indicates that the implicit transition dimension dominates the spatial heterogeneity of ecosystem services, and scientific regulation of land use transition can effectively alleviate the impact of human activities on ecosystem services, providing a multi-dimensional regulatory basis for ecological restoration in mining areas.

Key words: land use transformation, ecosystem services, geographical detector, spatial autocorrelation, typical coal mining areas

摘要：

矿区土地利用转型导致的生态退化正严重制约资源型城市可持续发展进程。为揭示资源型地区土地利用转型与生态系统服务的动态互馈机制，以山东省典型煤矿区为研究对象，构建“结构－强度－动态”多维分析框架，揭示1990－2020年土地利用演变及其生态效应。基于InVEST模型评估四项关键的生态系统服务，结合地理探测器和空间自相关方法，阐明土地利用转型对生态系统服务格局的驱动机制。结果表明，1）1990－2020年矿区耕地减少6.08%，建设用地扩张7.68%，水体在1990－2000年因采煤沉陷增长2.71%；土地利用强度中低值区占比65.39%，部分矿区高值区扩张6.90%。2）生态系统服务呈现“北降南稳”，碳储量、生境质量和产水量分别下降12.3%、9.7%和15.8%，部分矿区退化显著。3）土地利用强度对生态系统服务解释力最强（q>0.65），部分矿区形成“高转型强度-高生态退化”集聚区。研究表明，隐性转型维度主导生态系统服务空间异质性，科学调控土地利用转型可有效缓解人类活动对生态系统服务的影响，为矿区生态修复提供了多维调控依据。

关键词: 土地利用转型, 生态系统服务, 地理探测器, 空间自相关, 典型煤矿区

CLC Number:

FU Zhihua, ZHANG Hanwei, WANG Jing. Spatial Heterogeneous Driving Effects of Multi-dimensional Land Use Transition on Ecosystem Services in Mining Areas of Shandong Province[J]. Ecology and Environmental Sciences, 2026, 35(4): 563-574.

付智华, 张捍卫, 王晶. 山东省矿区多维度土地利用转型对生态系统服务的空间异质驱动效应[J]. 生态环境学报, 2026, 35(4): 563-574.

Figures/Tables 9

Figure 1 Overview of the study area map

Figure 2 Spatiotemporal distribution of landuse in Shandong mining area from 1990 to 2020

Figure 3 Spatiotemporal distribution of land use transition

Figure 4 Spatiotemporal distribution of ecosystem services from 1990 to 2020

Table 1 Effects of three dimensions of land use transition on ecosystem service factors

土地利用转型	CS	HQ	SD	WY
L_s	0.0327	0.0479	0.0014*	0.0045*
L_i	0.1578	0.2159	0.0018*	0.1221
L_d	0.1274	0.1808	0.0012*	0.1100

Table 2 Differences in the impact of three dimensions of land use transformation on ecosystem service factors

生态系统服务土地利用转型	CS		HQ		SD		WY
生态系统服务土地利用转型	L_s	L_i	L_s	L_i	L_s	L_i	L_s	L_i
L_i	Y		Y		Y		Y
L_d	Y	Y	Y	Y	Y	Y	Y	Y

Table 3 Interactive effects of three dimensions of land use transition on ecosystem service factors

交互作用	CS	HQ	SD	WY
L_s∩L_i	0.2384	0.3581	0.0062	0.1702
L_i∩L_d	0.1717	0.2299	0.0033	0.1528
L_d∩L_s	0.1487	0.2279	0.0024	0.1394

Table 4 Global bivariate Moran’s index between the three dimensions of land use transformation and each ecosystem service factor

土地利用转型	CS	HQ	SD	WY
L_s	−0.001	−0.002	−0.002	0.009
L_i	0.002	0.003	0.005	−0.016
L_d	−0.002	−0.001	−0.001	−0.037

Figure 5 Correlation cluster diagram between land use transformation and ecosystem service factors

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Spatial Heterogeneous Driving Effects of Multi-dimensional Land Use Transition on Ecosystem Services in Mining Areas of Shandong Province

山东省矿区多维度土地利用转型对生态系统服务的空间异质驱动效应

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