• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

滇东南喀斯特地区多情景模拟下的生态系统服务评估与网络优化

[Ecosystem Services Assessment and Network Optimization Under Multiple Scenario Simulations in the Karst Area of Southeast Yunnan].

作者信息

Zhou Bao, Zhao Jun-San, Chen Guo-Ping, Zhou Xian-Cun, Yin Ying, Yu Zu-Guo

机构信息

Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China.

Yunnan Yunjindi Geo-Information Co. Ltd., Kunming 650102, China.

出版信息

Huan Jing Ke Xue. 2025 Jul 8;46(7):4615-4627. doi: 10.13227/j.hjkx.202406123.

DOI:10.13227/j.hjkx.202406123
PMID:40677076
Abstract

Global climate change and economic growth have altered land use structures, impacting ecosystem services and spatial distributions. The Southeast Yunnan karst region, with its fragile ecological environment and diverse land use types, has become a focal area of research. Utilizing multi-scenario simulations, this study evaluates the impacts of future land use changes on ecosystem services and optimizes the ecological network, aiming to provide scientific guidance for regional ecological protection and sustainable development. Taking the Southeast Yunnan karst regions as the study area, land use data from 2000 to 2020 was analyzed. The Patch-generating Land Use Simulation (PLUS) model was employed to simulate land use patterns under three future scenarios for 2035: SSP126 (sustainable development), SSP245 (natural growth), and SSP585 (urban expansion). The Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model was used to assess typical regional ecosystem services, and the spatial and temporal dynamics of ecological networks under different scenarios were analyzed. The results indicated that: ① The primary land use types in the Southeast Yunnan karst region were forests, croplands, and grasslands. From 2000 to 2020, the land use transfer area was 6 002.55 km, with significant transfers among forests, grasslands, and croplands. By 2035, land use changes were projected to exhibit significant differences in intensity and pattern under the different scenarios. ② Compared with 2020, water yield and soil retention were projected to increase by 20 135 under all three scenarios, whereas habitat quality and carbon storage were expected to decline. The SSP126 scenario showed the highest gains in water yield and soil retention, with the least losses in habitat quality and carbon storage compared to those in the SSP245 and SSP585 scenarios. ③ Ecological source areas were mainly concentrated in the eastern and southern regions of Southeast Yunnan, with ecological networks predominantly oriented east-west. By 2035, the area of ecological source regions is expected to increase across all scenarios, enhancing the complexity and connectivity of the ecological network. ④ Future strategies should be based on the "one screen, three belts, and multiple nodes" optimization approach, implementing targeted ecological engineering projects to strengthen east-west corridors and develop north-south corridors. These findings provide scientific recommendations for ecological protection optimization and territorial spatial governance in the karst area of Southeast Yunnan.

摘要

全球气候变化和经济增长改变了土地利用结构,影响了生态系统服务和空间分布。滇东南喀斯特地区生态环境脆弱,土地利用类型多样,已成为研究的重点区域。本研究利用多情景模拟,评估未来土地利用变化对生态系统服务的影响,并优化生态网络,旨在为区域生态保护和可持续发展提供科学指导。以滇东南喀斯特地区为研究区域,分析了2000年至2020年的土地利用数据。采用斑块生成土地利用模拟(PLUS)模型,模拟了2035年三种未来情景下的土地利用格局:SSP126(可持续发展)、SSP245(自然增长)和SSP585(城市扩张)。利用生态系统服务综合价值评估(InVEST)模型评估典型区域生态系统服务,并分析不同情景下生态网络的时空动态。结果表明:①滇东南喀斯特地区主要土地利用类型为森林、耕地和草地。2000年至2020年,土地利用转移面积为6002.55平方千米,森林、草地和耕地之间存在显著转移。到2035年,不同情景下土地利用变化在强度和格局上预计将呈现显著差异。②与2020年相比,三种情景下产水量和土壤保持量预计均增加20135,而生境质量和碳储量预计将下降。与SSP245和SSP585情景相比,SSP126情景下产水量和土壤保持量增加最多,生境质量和碳储量损失最少。③生态源区主要集中在滇东南东部和南部地区,生态网络主要呈东西走向。到2035年,所有情景下生态源区面积预计均会增加,生态网络的复杂性和连通性将增强。④未来策略应基于“一屏、三带、多节点”优化方法,实施针对性的生态工程项目,加强东西走廊建设,发展南北走廊。这些研究结果为滇东南喀斯特地区生态保护优化和国土空间治理提供了科学建议。

相似文献

1
[Ecosystem Services Assessment and Network Optimization Under Multiple Scenario Simulations in the Karst Area of Southeast Yunnan].滇东南喀斯特地区多情景模拟下的生态系统服务评估与网络优化
Huan Jing Ke Xue. 2025 Jul 8;46(7):4615-4627. doi: 10.13227/j.hjkx.202406123.
2
[Spatial-temporal Evolution and Prediction of Carbon Reserves in Wanjiang River Basin with the InVEST-PLUS Model].基于InVEST-PLUS模型的皖江流域碳储量时空演变及预测
Huan Jing Ke Xue. 2025 Jun 8;46(6):3818-3829. doi: 10.13227/j.hjkx.202406063.
3
[Spatial Temporal Coupling and Influencing Factors of Land-use Carbon Emissions and Ecosystem Service Value in the Yellow River Basin].黄河流域土地利用碳排放与生态系统服务价值的时空耦合及影响因素
Huan Jing Ke Xue. 2025 Jun 8;46(6):3536-3545. doi: 10.13227/j.hjkx.202404136.
4
[Changes in Ecosystem Services and Equity Identification in Nanchang Under the Influence of Construction Land Expansion].建设用地扩张影响下南昌市生态系统服务变化与公平性识别
Huan Jing Ke Xue. 2025 Jul 8;46(7):4641-4656. doi: 10.13227/j.hjkx.202407031.
5
Spatiotemporal variations and driving mechanisms of carbon storage in Central Asia: Insights from the PLUS-InVEST models and machine learning.中亚地区碳储量的时空变化及其驱动机制:基于PLUS-InVEST模型和机器学习的见解
J Environ Manage. 2025 Aug;389:126123. doi: 10.1016/j.jenvman.2025.126123. Epub 2025 Jun 13.
6
[Spatial Partitioning and Influencing Factors of Soil Organic Carbon in Karst and Non-Karst Regions of Southeast Yunnan Province].[滇东南岩溶与非岩溶地区土壤有机碳的空间分异及影响因素]
Huan Jing Ke Xue. 2025 Jun 8;46(6):3846-3855. doi: 10.13227/j.hjkx.202405239.
7
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.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
PLoS One. 2025 Jun 25;20(6):e0324015. doi: 10.1371/journal.pone.0324015. eCollection 2025.
8
[Exploring the Impact of Future Multi-scenario Land Use Change on Henan Province Regional Carbon Storage].[探索未来多情景土地利用变化对河南省区域碳储量的影响]
Huan Jing Ke Xue. 2025 Jun 8;46(6):3830-3845. doi: 10.13227/j.hjkx.202405168.
9
[Construction of Ecological Security Network and Multi-scenario Simulation in Guizhou Province Based on Landscape Ecological Security Assessment].基于景观生态安全评价的贵州省生态安全网络构建与多情景模拟
Huan Jing Ke Xue. 2025 Jul 8;46(7):4580-4591. doi: 10.13227/j.hjkx.202406286.
10
[Evolution of Urban Expansion Pattern and Its Impact on the Quality of the Ecological Environment in the Beijing-Tianjin-Hebei Urban Agglomeration].京津冀城市群城市扩张格局演变及其对生态环境质量的影响
Huan Jing Ke Xue. 2025 Jun 8;46(6):3708-3719. doi: 10.13227/j.hjkx.202409036.