ORIGINAL RESEARCH article
Front. Ecol. Evol.
Sec. Conservation and Restoration Ecology
Volume 13 - 2025 | doi: 10.3389/fevo.2025.1570779
This article is part of the Research TopicImpacts and Adaptations in Montane Ecosystems Facing Climate ChangeView all articles
Spatial Distribution Patterns and Driving Factors of Ecosystem Services and Ecological Vulnerability in Ecologically Fragile Areas: A Case Study of the Zhang-Cheng Area
Provisionally accepted
- 1College of Resources and Environmental Sciences, Hebei Minzu Normal University, Chengde, China
- 2Hebei Key Laboratory of Mountain Geological Environment, Chengde, China
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Integrating ecosystem services (ES) and the ecological vulnerability index (EVI) to analyze the spatial distribution of ecological spaces provides valuable insights into promoting the sustainable development of ecologically fragile regions. To explore the spatial distribution patterns of ES and EVI in such areas, the Zhangjiakou-Chengde (ZC) area was selected as the study region. Four key ES-water yield (WY), soil conservation (SC), carbon sequestration (CS), and food supply (FS)-were assessed, and EVI was evaluated using the Sensitivity-Resilience-Pressure (SRP) model, with Z-score normalization revealing their spatial distribution patterns. The results showed that: (1) ES exhibited an increasing trend, while EVI decreased, with the most significant changes occurring between 2000 and 2010. Spatial patterns revealed that WY, SC, and CS increased from west to east, while FS and EVI decreased, with higher ecological vulnerability in the west; (2) Following Z-score normalization, ES and EVI were categorized into four quadrants: Quadrant I (High ES, High EVI) indicates areas with strong functions but high vulnerability due to human activities and climate change; Quadrant II (Low ES, High EVI) includes arid/semi-arid areas with high restoration potential; Quadrant III (Low ES, Low EVI) covers regions in need of ecological restoration; Quadrant IV (High ES, Low EVI) comprises areas with effective protection and low vulnerability; (3) Climate factors and land use changes significantly impacted the spatial distribution of ES and EVI. Interactions among multiple drivers, particularly in areas with intense human activities, amplified their effects. The findings offer important theoretical support for developing more precise ecological restoration and protection strategies and promoting sustainable development.
Keywords: ecosystem services, Vulnerability, SRP model, Climate factors, Z-score, land use change
Received: 07 Feb 2025; Accepted: 29 May 2025.
Copyright: © 2025 Wang, Xue, Ju, Yang, Ren and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Cai-Wu Wu, College of Resources and Environmental Sciences, Hebei Minzu Normal University, Chengde, China
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