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基于土地利用和气候变化的生态系统服务权衡/协同多情景模拟:以中国云南中部城市群为例

Land use and climate change-based multi-scenario simulation of ecosystem service trade-offs/synergies: A case study of the central Yunnan urban agglomeration, China.

作者信息

Chen Guoping, Zhang Dandan, Zhao Junsan, Zhang Longjiang

机构信息

Chinese Academy of Surveying and mapping, Beijing, China.

Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China.

出版信息

PLoS One. 2025 Jun 25;20(6):e0324015. doi: 10.1371/journal.pone.0324015. eCollection 2025.


DOI:10.1371/journal.pone.0324015
PMID:40561109
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12193797/
Abstract

Exploring Land use and climate change-based multi-scenario simulation of ecosystem service trade-offs/synergies is of great importance to regional ecological security and sustainable development. Taking the Central Yunnan Urban Agglomeration (CYUA) as a case study, six different scenarios of LULC-RCP were established to quantitatively assess four key ecosystem services(ESs) of water yield (WY), carbon stock (CS), soil conservation (SR) and habitat quality (HQ) with multiple objective programming and patch-generating land use simulation(MOP-PLUS) and integrated valuation of ecosystem services and tradeoffs (InVEST) models. The ESs were revealed regarding spatio-temporal trade-offs/synergies using Spearman correlation and geographically weighted regression (GWR). It was found that: (1)the ESs in CYUA is characterized with high spatial heterogeneity in 2030; specifically, the distribution of WY and SR was low in the northwestern region and high in the southeastern region, while the distribution of HQ and CS was high in the western region and the periphery, and low in the eastern and central regions; (2) the trade-offs between WY-HQ, and WY-CS, and the synergies between WY-SR, HQ-SR, HQ-CS, HQ-CS, and HQ-SR; (3) under the six different scenarios, the spatial distribution of trade-offs/synergies between the four ESs was consistent: the SR-HQ, SR-CS, and WY-CS showed an overall weak synergistic relationship; the HQ-CS showed an overall weak trade-offs; the HQ-WY, CS-WY showed an overall weak synergistic relationship in the northern and southern areas and an overall weak trade-off relationship in the center. The findings of this study may provide a theoretical foundation for ecosystem management in CYUA and offer technical support for the evaluation of national land space.

摘要

探索基于土地利用和气候变化的生态系统服务权衡/协同的多情景模拟,对区域生态安全和可持续发展具有重要意义。以滇中城市群(CYUA)为例,建立了六种不同的土地利用/土地覆盖-代表性浓度路径(LULC-RCP)情景,运用多目标规划和斑块生成土地利用模拟(MOP-PLUS)模型以及生态系统服务和权衡综合评估(InVEST)模型,对产水量(WY)、碳储量(CS)、土壤保持(SR)和栖息地质量(HQ)这四项关键生态系统服务进行定量评估。利用斯皮尔曼相关性和地理加权回归(GWR)揭示了生态系统服务在时空上的权衡/协同关系。研究发现:(1)2030年滇中城市群的生态系统服务具有高度的空间异质性;具体而言,产水量和土壤保持在西北地区分布较低,在东南部地区分布较高,而栖息地质量和碳储量在西部地区及周边地区分布较高,在东部和中部地区分布较低;(2)产水量与栖息地质量、产水量与碳储量之间存在权衡关系,产水量与土壤保持、栖息地质量与土壤保持、栖息地质量与碳储量、碳储量与土壤保持之间存在协同关系;(3)在六种不同情景下,四项生态系统服务之间权衡/协同的空间分布是一致的:土壤保持与栖息地质量、土壤保持与碳储量、产水量与碳储量总体呈现较弱的协同关系;栖息地质量与碳储量总体呈现较弱的权衡关系;栖息地质量与产水量、碳储量与产水量在北部和南部地区总体呈现较弱的协同关系,在中部地区总体呈现较弱的权衡关系。本研究结果可为滇中城市群的生态系统管理提供理论基础,并为国土空间评价提供技术支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/9ec018086a8c/pone.0324015.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/2bb205b9dc37/pone.0324015.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/0d9b62af5a4c/pone.0324015.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/3093320a1a9d/pone.0324015.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/9989119d211a/pone.0324015.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/da5da05984c7/pone.0324015.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/ddce77f0367d/pone.0324015.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/9ec018086a8c/pone.0324015.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/2bb205b9dc37/pone.0324015.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/0d9b62af5a4c/pone.0324015.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/3093320a1a9d/pone.0324015.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/9989119d211a/pone.0324015.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/da5da05984c7/pone.0324015.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/ddce77f0367d/pone.0324015.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a473/12193797/9ec018086a8c/pone.0324015.g007.jpg

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本文引用的文献

[1]
Spatiotemporal heterogeneity of ecosystem service interactions and their drivers at different spatial scales in the Yellow River Basin.

Sci Total Environ. 2024-1-15

[2]
Spatiotemporal evolution of habitat quality and its response to landscape patterns in karst mountainous cities: a case study of Guiyang City in China.

Environ Sci Pollut Res Int. 2023-11

[3]
Urban growth boundaries optimization under low-carbon development: Combining multi-objective programming and patch cellular automata models.

J Environ Manage. 2023-8-15

[4]
Temporal and spatial changes in land use and ecosystem service value based on SDGs' reports: a case study of Dianchi Lake Basin, China.

Environ Sci Pollut Res Int. 2023-3

[5]
Coupled impacts of climate and land use changes on regional ecosystem services.

J Environ Manage. 2023-1-15

[6]
Spatio-temporal evolution and driving factors of carbon storage in the Western Sichuan Plateau.

Sci Rep. 2022-5-17

[7]
Quantifying impacts of climate dynamics and land-use changes on water yield service in the agro-pastoral ecotone of northern China.

Sci Total Environ. 2022-2-25

[8]
Climate change effects on biodiversity, ecosystems, ecosystem services, and natural resource management in the United States.

Sci Total Environ. 2020-3-10

[9]
Spatio-temporal evolution scenarios and the coupling analysis of ecosystem services with land use change in China.

Sci Total Environ. 2019-9-1

[10]
The spatial association of ecosystem services with land use and land cover change at the county level in China, 1995-2015.

Sci Total Environ. 2019-3-11

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