• 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

黄河流域碳平衡的时空演变与预测及低碳经济发展分区

Spatio-temporal evolution and prediction of carbon balance in the Yellow River Basin and zoning for low-carbon economic development.

作者信息

Dong Linlin

机构信息

College of International Hospitality and Tourism Management, Lyceum of the Philippines University-Batangas, 4200, Batangas, Philippines.

出版信息

Sci Rep. 2024 Jun 22;14(1):14385. doi: 10.1038/s41598-024-65113-1.

DOI:10.1038/s41598-024-65113-1
PMID:38909073
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11193802/
Abstract

Studying the carbon effect of land use in watersheds is important for mitigating global warming, promoting coordinated emission reduction in different regions within the watersheds, and realizing high-quality development of the watersheds. Although a number of scholars have carried out relevant studies in the past, they mainly focused on carbon emissions, rarely involved the carbon balance formed by carbon sources and sinks, and lacked relevant studies on the development of low-carbon economy sub-region. Based on this, this study takes the Yellow River Basin as an example, explores the spatial and temporal evolution of carbon emissions from land use in counties in the Yellow River Basin from 1980 to 2020, and predicts the spatial pattern of carbon income and expenditure from land use under natural conditions in 2030 and 2060 using the PLUS model; and then superimposes on the main functional area planning, divides 735 counties in the Yellow River Basin into six low-carbon economic development subregions, and analyzes their economic development The model of their economic development is analyzed. The results show that: (1) the spatial and temporal differentiation of land use carbon balance in the Yellow River Basin has changed greatly over the past 40 years, (2) the spatial distribution pattern of land use carbon balance in the natural context in 2030 and 2060 is more similar to that in 1990, (3) the carbon emission reduction potentials and pattern optimization of the different low-carbon economic development subregions differ greatly, and they have different low-carbon economic development patterns. The results of this study provide a theoretical basis for scientifically and rationally formulating economic policies for low-carbon development in the counties of the Yellow River Basin, and also provide an important reference for related studies in other similar basins or regions in the world.

摘要

研究流域土地利用的碳效应对于缓解全球变暖、促进流域内不同区域协同减排以及实现流域高质量发展具有重要意义。尽管过去已有不少学者开展了相关研究,但主要集中在碳排放方面,很少涉及碳源与碳汇形成的碳平衡,且缺乏对低碳经济分区发展的相关研究。基于此,本研究以黄河流域为例,探究1980—2020年黄河流域各县土地利用碳排放的时空演变,并运用PLUS模型预测2030年和2060年自然条件下土地利用碳收支的空间格局;然后叠加主体功能区规划,将黄河流域735个县划分为六个低碳经济发展子区域,并分析其经济发展模式。结果表明:(1)黄河流域土地利用碳平衡的时空分异在过去40年里变化较大;(2)2030年和2060年自然情景下土地利用碳平衡的空间分布格局与1990年较为相似;(3)不同低碳经济发展子区域的碳排放减排潜力和格局优化差异较大,具有不同的低碳经济发展模式。本研究结果为科学合理制定黄河流域各县低碳发展经济政策提供了理论依据,也为世界其他类似流域或区域的相关研究提供了重要参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/683869418170/41598_2024_65113_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/d50167f1aa5a/41598_2024_65113_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/00ff59adfafe/41598_2024_65113_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/c4e405bbeb2f/41598_2024_65113_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/48909b73942a/41598_2024_65113_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/b91531d08d89/41598_2024_65113_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/4abb5f27aace/41598_2024_65113_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/daa427969fb7/41598_2024_65113_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/683869418170/41598_2024_65113_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/d50167f1aa5a/41598_2024_65113_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/00ff59adfafe/41598_2024_65113_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/c4e405bbeb2f/41598_2024_65113_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/48909b73942a/41598_2024_65113_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/b91531d08d89/41598_2024_65113_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/4abb5f27aace/41598_2024_65113_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/daa427969fb7/41598_2024_65113_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e23/11193802/683869418170/41598_2024_65113_Fig8_HTML.jpg

相似文献

1
Spatio-temporal evolution and prediction of carbon balance in the Yellow River Basin and zoning for low-carbon economic development.黄河流域碳平衡的时空演变与预测及低碳经济发展分区
Sci Rep. 2024 Jun 22;14(1):14385. doi: 10.1038/s41598-024-65113-1.
2
Land-Use Carbon Emissions in the Yellow River Basin from 2000 to 2020: Spatio-Temporal Patterns and Driving Mechanisms.2000 年至 2020 年黄河流域土地利用碳排放的时空格局及驱动机制
Int J Environ Res Public Health. 2022 Dec 8;19(24):16507. doi: 10.3390/ijerph192416507.
3
[Spatiotemporal Differentiation of Carbon Budget and Carbon Compensation Zoning Based on the Plan for Major Function-oriented Zones:A Case Study of Counties in the Yellow River Basin].基于主体功能区规划的碳预算与碳补偿分区时空分异——以黄河流域县域为例
Huan Jing Ke Xue. 2024 Sep 8;45(9):5015-5026. doi: 10.13227/j.hjkx.202309105.
4
Carbon Storage Change Analysis and Emission Reduction Suggestions under Land Use Transition: A Case Study of Henan Province, China.土地利用转型下的碳存储变化分析及减排建议——以中国河南省为例。
Int J Environ Res Public Health. 2021 Feb 14;18(4):1844. doi: 10.3390/ijerph18041844.
5
Multiscale spatial-temporal evolution of energy carbon footprint in the Yellow River Basin of China based on DMSP/OLS and NPP/VIIRS integrated data.基于DMSP/OLS和NPP/VIIRS集成数据的中国黄河流域能源碳足迹多尺度时空演变
Environ Sci Pollut Res Int. 2024 Jan;31(1):312-330. doi: 10.1007/s11356-023-30826-9. Epub 2023 Nov 28.
6
Research on the estimation and spatial pattern of net tourism carbon emissions in the Yellow River Basin from 2009 to 2019.2009 年至 2019 年黄河流域净旅游碳排放量估算及空间格局研究。
Environ Sci Pollut Res Int. 2024 Feb;31(8):12288-12300. doi: 10.1007/s11356-024-31902-4. Epub 2024 Jan 17.
7
Spatial and Temporal Evolution and Prediction of the Coordination Level of "Production-Living-Ecological" Function Coupling in the Yellow River Basin, China.中国黄河流域“生产-生活-生态”功能耦合协调水平的时空演变与预测。
Int J Environ Res Public Health. 2022 Nov 5;19(21):14530. doi: 10.3390/ijerph192114530.
8
Spatio-Temporal Characteristics of Trade-Offs and Synergies in Ecosystem Services at Watershed and Landscape Scales: A Case Analysis of the Yellow River Basin (Henan Section).流域和景观尺度上生态系统服务权衡与协同的时空特征:以黄河流域(河南段)为例。
Int J Environ Res Public Health. 2022 Nov 27;19(23):15772. doi: 10.3390/ijerph192315772.
9
Analysis of urban carbon emission efficiency and influencing factors in the Yellow River Basin.黄河流域城市碳排放在效率及其影响因素分析。
Environ Sci Pollut Res Int. 2023 Feb;30(6):14641-14655. doi: 10.1007/s11356-022-23065-x. Epub 2022 Sep 26.
10
Research on Rural Population/Arable Land/Rural Settlements Association Model and Coordinated Development Path: A Case Analysis of the Yellow River Basin (Henan Section).农村人口/耕地/农村居民点关联模型与协调发展路径研究——以黄河流域(河南段)为例。
Int J Environ Res Public Health. 2023 Feb 21;20(5):3833. doi: 10.3390/ijerph20053833.

引用本文的文献

1
Integrating land use simulation and carbon assessment for sustainable urban planning in Fuzhou metropolitan area using PLUS and InVEST models.利用PLUS模型和InVEST模型对福州大都市区进行土地利用模拟与碳评估以实现可持续城市规划
Sci Rep. 2025 Aug 19;15(1):30382. doi: 10.1038/s41598-025-13961-w.
2
Multiscale exploration of spatiotemporal dynamics and decoupling effects of carbon emissions in China.中国碳排放时空动态及解耦效应的多尺度探索
Sci Rep. 2025 May 13;15(1):16554. doi: 10.1038/s41598-025-00677-0.

本文引用的文献

1
Preliminary manifestation of the Yangtze River Protection Strategy in improving the carbon sink function of estuary wetlands.长江保护战略在提升河口湿地碳汇功能方面的初步表现。
iScience. 2024 Jan 19;27(2):108974. doi: 10.1016/j.isci.2024.108974. eCollection 2024 Feb 16.
2
Urbanization, climate and species traits shape mammal communities from local to continental scales.城市化、气候和物种特征塑造了从局部到大陆尺度的哺乳动物群落。
Nat Ecol Evol. 2023 Oct;7(10):1654-1666. doi: 10.1038/s41559-023-02166-x. Epub 2023 Sep 4.
3
Low-carbon sustainable development of China's manufacturing industries based on development model change.
基于发展模式转变的中国制造业低碳可持续发展。
Sci Total Environ. 2020 Oct 1;737:140397. doi: 10.1016/j.scitotenv.2020.140397. Epub 2020 Jun 20.
4
Warming caused by cumulative carbon emissions towards the trillionth tonne.累积碳排放达到万亿吨所造成的气候变暖。
Nature. 2009 Apr 30;458(7242):1163-6. doi: 10.1038/nature08019.
5
Soil warming and carbon-cycle feedbacks to the climate system.土壤变暖及碳循环对气候系统的反馈。
Science. 2002 Dec 13;298(5601):2173-6. doi: 10.1126/science.1074153.
6
The U.S. Carbon budget: contributions from land-Use change.美国碳预算:土地利用变化的贡献。
Science. 1999 Jul 23;285(5427):574-8. doi: 10.1126/science.285.5427.574.