湖南省生态系统服务簇时空稳定性格局及其影响因素

doi:10.13287/j.1001-9332.202508.026

应用生态学报 ›› 2025, Vol. 36 ›› Issue (8): 2442-2454.doi: 10.13287/j.1001-9332.202508.026

湖南省生态系统服务簇时空稳定性格局及其影响因素

战扬^1,2, 王旭³, 毛沂新^1,2, 云丽丽^1,2, 彭曦^4,5*

¹辽宁省林业科学研究院, 沈阳 110032;
²辽宁白石砬子森林生态系统定位观测研究站, 辽宁宽甸 118201;
³辽宁老秃顶子国家级自然保护区管理中心, 辽宁桓仁 117200;
⁴中国科学院沈阳应用生态研究所森林生态与保育重点实验室, 沈阳 110016;
⁵中国科学院沈阳应用生态研究所大青沟沙地生态实验站, 沈阳 110016

收稿日期:2024-12-26 接受日期:2025-06-11 出版日期:2025-08-18 发布日期:2026-02-18
通讯作者: *E-mail: xi.peng@iae.ac.cn
作者简介:战扬, 男, 1993年生, 博士, 工程师。主要从事区域生态系统服务调控研究。E-mail: zhanyang0327@gmail.com
基金资助:
辽宁省农业科学院院长基金项目(2025BS1716)、辽宁省农业科学院中长期基础研究专项(2025XKJS8564)、辽宁老秃顶子国家级自然保护区2024年(第一批)中央财政自然保护区补助资金项目-野生高等植物资源本底调查(JH24-210522-00627)、2023年度国家资助博士后人员计划项目(GZC20232880)、辽宁省自然科学基金面上项目(2023-MS-047)和辽宁省林业和草原局科技创新平台研发项目(LLC[2023]14和LLC[2023]13)

Spatiotemporal stability patterns of ecosystem service bundles and their driving factors in Hunan Province, China

ZHAN Yang^1,2, WANG Xu³, MAO Yixin^1,2, YUN Lili^1,2, PENG Xi^4,5*

¹Liaoning Academy of Forestry Science, Shenyang 110032, China;
²Liaoning Baishilazi Forest Ecosystem Research Station, Kuandian 118201, Liaoning, China;
³Liaoning Laotudingzi National Nature Reserve Management Center, Huanren 117200, Liaoning, China;
⁴CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;
⁵Daqinggou Ecological Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China

Received:2024-12-26 Accepted:2025-06-11 Online:2025-08-18 Published:2026-02-18

摘要/Abstract

摘要： 利用生态系统服务簇对生态系统服务进行集成管理,是当前最具前景的生态系统服务优化路径之一。厘清生态系统服务簇的时空动态有助于制定精准、灵活的区域生态系统管理策略。已有研究多聚焦于服务簇的静态识别,对其长期稳定性演变特征及驱动机制仍缺乏系统认知。本研究以湖南省为例,基于1995—2020年6类关键生态系统服务的时空演变,引入“主导服务簇变化频次”指标,量化区域服务簇的时空稳定性,并构建稳定性驱动机制的解释框架。结果表明: 1995—2020年间,湖南省粮食生产、固碳和土壤保持服务显著上升,生境质量较为稳定,而洪水调控与产水服务有所下降,多个服务类型的空间格局亦发生显著变化。生态系统服务簇的空间分布和稳定性呈现高度异质性与动态性,其中,58.2%的区域处于高频波动状态,41.8%的区域保持相对稳定,高稳定性区域多集中于农业集约化水平较高的平原和山地森林区。地理探测器分析发现,农田和森林比例等土地利用因子,以及降水和温度等气候变量,是驱动服务簇稳定性的关键因素,且土地利用与气候之间的交互作用强于单一变量。基于稳定性等级划分结果,本研究进一步提出了具备适应性和差异化的区域管理策略,为提升服务持续供给能力和政策实施时效性提供了新路径。本研究拓展了生态系统服务簇研究的动态调控视角,为多功能生态系统在变化环境下的精细化管理提供了理论支撑和实践依据。

关键词: 生态系统服务, 生态系统服务簇, 时空稳定性, 地理探测器, 湖南省

Abstract: Integrated management of ecosystem services through ecosystem service bundles (ESBs) is increasingly recognized as one of the most promising approaches for optimizing ecosystem services. Understanding the spatiotemporal dynamics of ESBs is critical for developing precise and adaptive regional ecosystem management strategies. However, most existing studies focus on the static identification of ESBs, with limited attention to the long-term stability and underlying drivers. With Hunan Province as an example and based on the spatiotemporal evolution of six key ecosystem services from 1995 to 2020, we introduced the “dominant service cluster change frequency” indicator to quantify the spatiotemporal stability of ESBs, and established an explanatory framework for the stability dri-ving mechanism. The results showed that food production, carbon sequestration, and soil retention significantly increased, habitat quality remained relatively stable, while flood regulation and water yield declined. The spatial patterns of multiple service types also underwent significant change during 1995-2020. ESBs showed high spatial heterogeneity and temporal dynamics, with 58.2% of the area showing high transition frequency and only 41.8% remaining relatively stable. High stability regions were mainly located in plains and mountainous forest areas with high levels of agricultural intensification. Geographic detector analysis revealed that land-use factors (e.g., cropland and forest ratios) and climate variables (e.g., precipitation and temperature) were the primary drivers of ESB stability. The interaction effects between land use and climate were stronger than single-factor effects. Based on the stability classifications, we further proposed adaptive and region-specific ecosystem management strategies to provide a new path for improving the ability to sustain service supply and the timeliness of policy implementation. This study would expand the perspective of dynamic regulation in the study of ESBs, providing theoretical support and practical basis for the refined management of ecosystem multifunctionality in changing environments.

Key words: ecosystem service, ecosystem service bundle, spatiotemporal stability, Geodetector, Hunan Province

战扬, 王旭, 毛沂新, 云丽丽, 彭曦. 湖南省生态系统服务簇时空稳定性格局及其影响因素[J]. 应用生态学报, 2025, 36(8): 2442-2454.

ZHAN Yang, WANG Xu, MAO Yixin, YUN Lili, PENG Xi. Spatiotemporal stability patterns of ecosystem service bundles and their driving factors in Hunan Province, China[J]. Chinese Journal of Applied Ecology, 2025, 36(8): 2442-2454.

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湖南省生态系统服务簇时空稳定性格局及其影响因素

Spatiotemporal stability patterns of ecosystem service bundles and their driving factors in Hunan Province, China

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