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社会-生态网络视角下生态系统服务耦合关系及其驱动因素

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[目的]探究生态系统服务权衡与协同耦合关系的驱动因素及其动态变化特征,对于明确生态恢复背景下社会-生态系统的互馈机制至关重要。[方法]本文以典型植被恢复区延安市为研究区,量化了 2000-2020年碳固存、产水量、基流调节与土壤保持服务,采用生态系统服务综合指数(ESI)表征4项生态系统服务耦合关系;基于贝叶斯信念网络模型(BBNs)构建社会-生态驱动因素识别框架,并揭示了植被恢复以来研究区生态系统服务耦合关系的驱动因素及其变化特征。[结果]①2000-2020年延安市生态系统服务耦合关系显著改善,ESI高值区由中部向南北扩张,低值区集中在城镇周围以及北部边缘地区;但基流调节高值概率持续降低。②降水、植被覆盖度、实际蒸散发与气温对延安市生态系统服务耦合关系变化的综合贡献率达70%以上,且降水和植被覆盖度是主导驱动因素。③20年间,降水的贡献率波动减少,植被覆盖度的贡献率持续上升;概率推理表明,气候暖湿化将加剧基流调节下降的风险,而持续的植被恢复也将引起生态系统服务耦合关系优化的阈值效应。[结论]对植被恢复区开展长期监测、提高区域基流调节功能是维持植被恢复成效以应对气候变化和人类活动干扰的优先事项。
Coupling relationship among ecosystem services and its driving factors from the perspective of social-ecological networks
[Objective]Exploring the driving factors and dynamic change characteristics of the coupling relationship between ecosystem service trade-offs and synergies is crucial for clarifying the mutual feedback mechanism of social-ecological systems in the context of ecological restoration.[Methods]In this study,we selected Yan'an City,a typical vegetation restoration area,as the study area,and quantified four ecosystem services including carbon sequestration,water yield,baseflow regulation,and soil conservation from 2000 to 2020.Then we used a comprehensive ecosystem services index(ESI)to characterize the coupling relationship between the four ecosystem services.Based on the Bayesian belief networks(BBNs)model,we developed a network structure,which captured the driving factors of ESI and identified the variation characteristics of ESI.[Results]The results show that:(1)The ESI of Yan'an City increased significantly from 2000 to 2020,with the high value areas of ESI expanded from the middle to the north and south of the city,and the low value areas of ESI concentrated around the town and the northern fringe area.The baseflow regulation steadily declined since 2000.(2)The combined contribution rates of precipitation,fractional vegetation cover(FVC),actual evapotranspiration,and temperature to the change of ESI were more than 70%in 2000 to 2020,in which precipitation and FVC were the dominant driving factors.(3)In the 20-year study period,the contribution rate of precipitation showed a fluctuating downward trend but the contribution rate of FVC kept rising.According to the scenarios of probabilistic inference of BBNs,increasing temperature and precipitation will aggravate the risk of loss for baseflow regulation,while the continuous vegetation restoration will also lead to the threshold effects for the optimization of ESI.[Conclusion]A long-term monitoring of vegetation restoration areas and the improvement of baseflow regulation should be the priorities for Yan'an City in order to maintain the effectiveness of vegetation restoration and to cope with climate change and human disturbances in the future.

ecosystem servicescoupling relationshipdriving factorsBayesian belief networksYan'an City

乔志宏、李婷、任宇、罗颖、杨亚东

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西安科技大学测绘科学与技术学院,西安 710054

陕西师范大学地理科学与旅游学院,西安 710119

中国农业科学院农业资源与农业区划研究所,北京 100081

生态系统服务 耦合关系 驱动因素 贝叶斯信念网络 延安市

国家自然科学基金项目国家自然科学基金项目陕西省创新能力支撑计划项目

42001219422714012022KRM090

2024

资源科学
中国科学院地理科学与资源研究所 中国自然资源学会

资源科学

CSTPCDCSSCICHSSCD北大核心
影响因子:2.408
ISSN:1007-7588
年,卷(期):2024.46(5)