首页 > 过刊浏览>2025年第41卷第2期 >38-46. DOI:10.3880/j.issn.1004-6933.2025.02.005
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黄河水源涵养区生态系统服务要素时空演变及权衡与协同分析
作者:
作者单位:

(1.河海大学水灾害防御全国重点实验室,江苏 南京 210098;2.河海大学水安全与水科学协同创新中心,江苏 南京 210098;3.福州市可持续发展城市研究院有限公司,福建 福州 350108;4.北京市水科学技术研究院,北京 100048 )

作者简介:

鞠琴(1980—),女,副教授,博士,主要从事气候变化下水文响应研究。E-mail:juqin@hhu.edu.cn

基金项目:

国家重点研发计划项目(2021YFC3201104)；江苏省大学生创新创业项目(2024102941103,202410294243Y)


Spatiotemporal evolution and trade-off and synergy analysis of ecosystem service factors in the Yellow River water conservation area//
Author:
Affiliation:

(1.National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China;2.National Cooperative Innovation Center for Water Safety & Hydro Science,Hohai University, Nanjing 210098, China;3.Fuzhou Research Institute of Sustainable Development in Cities Ltd., Fuzhou 350108, China;4.Beijing Water Science and Technology Institute, Beijing 100048, China)

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    摘要:

    为探究黄河水源涵养区生态系统服务的时空演变规律,采用InVEST模型对2000—2020年黄河水源涵养区碳储量、土壤保持、生境质量、产水能力和水源涵养5个生态系统服务要素进行计算,并分析了各要素的时空演变特征和相互间的权衡与协同关系。结果表明:2000—2020年黄河水源涵养区产水能力、水源涵养量、土壤保持量呈现一致波动时间变化趋势,生境质量、碳储量整体呈下降趋势；各生态系统服务要素之间存在不同程度的协同相关性,其中,土壤保持与产水能力和土壤保持与碳储量间协同关系最强,其他要素之间呈现中等或弱协同关系；5个生态系统服务要素与土地利用类型密切相关,不同土地利用类型下的各项生态系统服务要素差异较大；各项生态系统服务要素间以协同为主,整体协同关系在时间上呈波动轻微增强趋势,空间分布上中南部草地以高-高协同为主,低-低协同主要分布在北部地区草地和林地,高-低和低-高权衡主要分散在东西部地区的耕地和建设用地。

    Abstract:

    To explore the spatiotemporal evolution patterns of ecosystem services in the water conservation area of the Yellow River, the InVEST model was employed to calculate five ecosystem service factors from 2000 to 2020, including carbon storage, soil retention, habitat quality, water yield capacity, and water conservation. The spatiotemporal evolution characteristics of these factors and their trade-offs and synergies were analyzed. The results indicate that from 2000 to 2020, the water yield capacity, water conservation, and soil retention in the Yellow River water conservation area exhibited consistent fluctuations, while habitat quality and carbon storage showed an overall declining trend. There were varying degrees of synergistic correlations between the ecosystem service factors, with the strongest synergies observed between soil retention and water yield capacity, as well as between soil retention and carbon storage. Other factors exhibited moderate or weak synergistic relationships. The five ecosystem service factors were closely related to land use types, and there are significant differences in each factor under different land use types. Synergies dominated between the various ecosystem service factors, with the overall synergistic relationship showing a slight fluctuating upward trend over time. In terms of spatial distribution, the grasslands in the central and southern regions were dominated by high-high synergies, while low-low synergies were primarily found in the grasslands and forests of the northern region. High-low and low-high trade-offs were mainly scattered in cultivated lands and construction lands in the eastern and western regions. Keywords: ecosystem service factor; trade-off and synergy; InVEST model; the Yellow River water conservation region 〖FL

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鞠琴,卜媛媛,申同庆,等.黄河水源涵养区生态系统服务要素时空演变及权衡与协同分析[J].水资源保护,2025,41(2):38-46.(JU Qin, BU Yuanyuan, SHEN Tongqin, et al. Spatiotemporal evolution and trade-off and synergy analysis of ecosystem service factors in the Yellow River water conservation area//[J]. Water Resources Protection,2025,41(2):38-46.(in Chinese))

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  • 收稿日期:2024-12-07
  • 在线发布日期: 2025-04-14

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