• 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

黄河流域干旱区景观生态风险的时空变化与多情景模拟

Spatio-temporal variations and multi-scenario simulation of landscape ecological risk in the drylands of the Yellow River Basin.

作者信息

Li Jing, Li Shuai, Wang Xiaohui, Xu Guangfu, Pang Jiacheng

机构信息

Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing, 100091, China.

Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou, 015200, China.

出版信息

Sci Rep. 2024 Sep 30;14(1):22672. doi: 10.1038/s41598-024-73764-3.

DOI:10.1038/s41598-024-73764-3
PMID:39349669
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11442452/
Abstract

Over the past decades, the drylands of the Yellow River Basin (YRBD) have undergone profound changes in landscape patterns and ecological dynamics, significantly impacting regional sustainable development. To assess the spatio-temporal variations of ecological risk in the YRBD and provide guidance for sustainable regional development, we constructed a coupled Land Use-Landscape Ecological Risk Model-Geographical Detector-PLUS framework for the assessment, analysis, and simulation of dryland landscape ecological risk (LER). The main findings are as follows: (1) Between 2000 and 2020, the area of built-up land, forest, grassland, and water in the YRBD increased, while the area of unused land and cropland decreased. (2) LER exhibited significant spatial heterogeneity, dominated by Sub-low and Low risks. High risk areas were primarily located in the western Inner Mongolia Plateau, whereas Low risk areas were prevalent in the Loess Plateau, with an overall decline in risk levels over the 20 years. (3) Water resources, ecological status, and human activities are the main driving factors affecting LER, with the impact of human activities becoming increasingly significant over the past 20 years. (4) Under three development scenarios in 2030, the LER is projected to further decrease, although the impact of these scenarios varies across different research sub-regions. Notably, the Ecological Priority Scenario emerges as more effective in mitigating regional LER. (5) Developing precise land use policies tailored to regional characteristics, continuously implementing ecological restoration projects, strengthening water resource management, and enhancing monitoring capabilities are effective ways to reduce LER in the YRBD. This study systematically quantified the impact of different development scenarios on LER in the YRBD, revealing its spatio-temporal characteristics, and emphasized the importance of planning guidance, ecological restoration, and risk monitoring to align regional development with ecological protection. The findings provide scientific evidence for ecological protection and sustainable development in the YRBD and other drylands, offering valuable insights for global dryland ecological risk management.

摘要

在过去几十年里,黄河流域(YRBD)的干旱地区在景观格局和生态动态方面发生了深刻变化,对区域可持续发展产生了重大影响。为了评估黄河流域生态风险的时空变化,并为区域可持续发展提供指导,我们构建了一个耦合的土地利用 - 景观生态风险模型 - 地理探测器 - PLUS框架,用于干旱地区景观生态风险(LER)的评估、分析和模拟。主要研究结果如下:(1)2000年至2020年期间,黄河流域的建设用地、森林、草地和水域面积增加,而未利用地和耕地面积减少。(2)LER呈现出显著的空间异质性,以次低风险和低风险为主。高风险区域主要位于内蒙古高原西部,而低风险区域在黄土高原较为普遍,20年间风险水平总体呈下降趋势。(3)水资源、生态状况和人类活动是影响LER的主要驱动因素,过去20年人类活动的影响日益显著。(4)在2030年的三种发展情景下,预计LER将进一步降低,尽管这些情景的影响在不同研究子区域有所不同。值得注意的是,生态优先情景在减轻区域LER方面更为有效。(5)制定符合区域特点的精准土地利用政策、持续实施生态修复工程、加强水资源管理以及提高监测能力是降低黄河流域LER的有效途径。本研究系统地量化了不同发展情景对黄河流域LER的影响,揭示了其时空特征,并强调了规划指导、生态修复和风险监测对于使区域发展与生态保护相协调的重要性。研究结果为黄河流域及其他干旱地区的生态保护和可持续发展提供了科学依据,为全球干旱地区生态风险管理提供了有价值的见解。

相似文献

1
Spatio-temporal variations and multi-scenario simulation of landscape ecological risk in the drylands of the Yellow River Basin.黄河流域干旱区景观生态风险的时空变化与多情景模拟
Sci Rep. 2024 Sep 30;14(1):22672. doi: 10.1038/s41598-024-73764-3.
2
Future land use simulation model-based landscape ecological risk prediction under the localized shared socioeconomic pathways in the Xiangjiang River Basin, China.基于本地化共享社会经济路径的湘江流域未来土地利用模拟模型的景观生态风险预测。
Environ Sci Pollut Res Int. 2024 Mar;31(15):22774-22789. doi: 10.1007/s11356-024-32621-6. Epub 2024 Feb 27.
3
Spatiotemporal pattern and multi-scenario simulation of ecological risk in mountainous cities: a case study in Chongqing, China.山地城市生态风险的时空格局及多情景模拟——以中国重庆市为例
Environ Monit Assess. 2023 May 30;195(6):760. doi: 10.1007/s10661-023-11398-0.
4
Multi-Scenario Landscape Ecological Risk Simulation for Sustainable Development Goals: A Case Study on the Central Mountainous Area of Hainan Island.多情景景观生态风险模拟与可持续发展目标:以海南岛中南部山区为例
Int J Environ Res Public Health. 2022 Mar 29;19(7):4030. doi: 10.3390/ijerph19074030.
5
[Landscape Pattern Vulnerability and Its Driving Forces in Different Geomorphological Divisions in the Middle Yellow River].黄河中游不同地貌分区景观格局脆弱性及其驱动力
Huan Jing Ke Xue. 2024 Jun 8;45(6):3363-3374. doi: 10.13227/j.hjkx.202307117.
6
Multi-Scenario Simulation and Trade-Off Analysis of Ecological Service Value in the Manas River Basin Based on Land Use Optimization in China.基于中国土地利用优化的玛纳斯河流域生态服务价值多情景模拟与权衡分析。
Int J Environ Res Public Health. 2022 May 20;19(10):6216. doi: 10.3390/ijerph19106216.
7
A novel quantity assessment of landscape ecological risk using human-nature driving mechanism for sustainable society.利用人类-自然驱动机制进行景观生态风险的新型量化评估,以实现可持续社会。
Sci Total Environ. 2024 Oct 15;947:173892. doi: 10.1016/j.scitotenv.2024.173892. Epub 2024 Jun 13.
8
Spatio-Temporal Characteristics of Landscape Ecological Risks in the Ecological Functional Zone of the Upper Yellow River, China.中国黄河上游生态功能区景观生态风险的时空特征。
Int J Environ Res Public Health. 2021 Dec 8;18(24):12943. doi: 10.3390/ijerph182412943.
9
[Spatial and temporal variations of landscape ecological risk in the dry and hot valley of the Jinsha River during 2000-2020].2000—2020年金沙江干热河谷景观生态风险的时空变化
Ying Yong Sheng Tai Xue Bao. 2023 Oct;34(10):2767-2776. doi: 10.13287/j.1001-9332.202310.026.
10
[Ecological environment quality of the Shanxi section of the Yellow River Basin under different development scenarios].[不同发展情景下黄河流域山西段生态环境质量]
Ying Yong Sheng Tai Xue Bao. 2024 May;35(5):1337-1346. doi: 10.13287/j.1001-9332.202405.027.

引用本文的文献

1
Land use and landscape pattern changes in the Fenhe River Basin, China.中国汾河流域的土地利用与景观格局变化
Sci Rep. 2025 Jan 20;15(1):2474. doi: 10.1038/s41598-025-86780-8.

本文引用的文献

1
Ecosystem service valuation and multi-scenario simulation in the Ebinur Lake Basin using a coupled GMOP-PLUS model.基于GMOP-PLUS耦合模型的艾比湖流域生态系统服务价值评估与多情景模拟
Sci Rep. 2024 Mar 1;14(1):5071. doi: 10.1038/s41598-024-55763-6.
2
Identifying the spatio-temporal dynamics of regional ecological risk based on Google Earth Engine: A case study from Loess Plateau, China.基于谷歌地球引擎识别区域生态风险的时空动态:以中国黄土高原为例。
Sci Total Environ. 2023 May 15;873:162346. doi: 10.1016/j.scitotenv.2023.162346. Epub 2023 Feb 21.
3
Response of vegetation variation to climate change and human activities in semi-arid swamps.
半干旱沼泽地区植被变化对气候变化和人类活动的响应
Front Plant Sci. 2022 Sep 27;13:990592. doi: 10.3389/fpls.2022.990592. eCollection 2022.
4
Landscape ecological risk assessment and driving factor analysis in Dongjiang river watershed.东江流域景观生态风险评价及驱动因子分析。
Chemosphere. 2022 Nov;307(Pt 3):135835. doi: 10.1016/j.chemosphere.2022.135835. Epub 2022 Aug 11.
5
Landscape Ecological Risk Assessment Based on Land Use Change in the Yellow River Basin of Shaanxi, China.基于土地利用变化的中国陕西黄河流域景观生态风险评估
Int J Environ Res Public Health. 2022 Aug 3;19(15):9547. doi: 10.3390/ijerph19159547.
6
Multi-scenario simulation of ecological risk assessment based on ecosystem service values in the Beijing-Tianjin-Hebei region.基于生态系统服务价值的京津冀地区生态风险多情景模拟。
Environ Monit Assess. 2022 May 16;194(6):434. doi: 10.1007/s10661-022-10086-9.
7
Spatiotemporal variations of surface ozone and its influencing factors across Tibet: A Geodetector-based study.基于地理探测器的西藏地区近地面臭氧时空变化及其影响因素研究。
Sci Total Environ. 2022 Mar 20;813:152651. doi: 10.1016/j.scitotenv.2021.152651. Epub 2021 Dec 23.
8
Water quality and ecological risks in European surface waters - Monitoring improves while water quality decreases.欧洲地表水的水质和生态风险——监测虽有所改善,但水质却在下降。
Environ Int. 2021 Jul;152:106479. doi: 10.1016/j.envint.2021.106479. Epub 2021 Mar 5.
9
Global ecosystem thresholds driven by aridity.干旱驱动的全球生态系统阈值。
Science. 2020 Feb 14;367(6479):787-790. doi: 10.1126/science.aay5958.
10
Impacts of anthropogenic land use/cover changes on soil wind erosion in China.人为土地利用/覆被变化对中国土壤风蚀的影响。
Sci Total Environ. 2019 Jun 10;668:204-215. doi: 10.1016/j.scitotenv.2019.03.015. Epub 2019 Mar 3.