• 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

基于InVEST-PLUS模型的淮北市碳储量时空演变及预测

[Spatio-temporal Evolution and Prediction of Carbon Storage in Huaibei City Based on InVEST-PLUS Model].

作者信息

Yu Zhi-Lin, Zhao Ming-Song, Gao Ying-Feng, Wang Tao, Zhao Zhi-Dong, Wang Shi-Hang

机构信息

School of Spatial Information and Surveying and Mapping Engineering, Anhui University of Science and Technology, Huainan 232001, China.

Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mininginduced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China.

出版信息

Huan Jing Ke Xue. 2024 Jun 8;45(6):3270-3283. doi: 10.13227/j.hjkx.202306110.

DOI:10.13227/j.hjkx.202306110
PMID:38897750
Abstract

This study aimed to investigate the impact of spatiotemporal changes in land use on ecosystem carbon storage. The study analyzed the spatiotemporal changes in carbon storage in the study area based on land use data from five periods (1985, 1995, 2005, 2015, and 2020) using the InVEST model. The PLUS model was used to predict land use changes in the study area under four different scenarios (natural development, farmland protection, ecological protection, and double protection of farmland and ecology) in 2035, and the ecosystem carbon storage under different scenarios was estimated. The results of the study indicated that the farmland in the area under investigation had been decreasing consistently from 1985 to 2020, with a more rapid rate of change observed between 2015 and 2020. During this period, the overall dynamic attitude towards land use reached 34.62 %. Additionally, the carbon storage in the area showed a decreasing trend over the years, with a decrease of 1.55×10 t from 1985 to 2020. Between 2005 and 2015, the carbon storage showed a decrease of 1.22×10 t, with an average annual decrease of 1.22×10 t. The areas with higher carbon storage were located in the eastern part of the study area, whereas areas with lower carbon storage were found in the central and northwestern parts. Although the proportion of carbon storage in farmland decreased from 66.89 % to 57.73 %, farmland remained the most important carbon pool in the study area. The conversion of other land use types to grassland and forestland was advantageous for increasing ecosystem carbon storage. Finally, the study projected that by 2035, the carbon storage in the natural development scenario, the farmland protection scenario, the ecological protection scenario, and the dual protection scenario would be 81.77×10, 82.45×10, 82.82×10, and 82.51×10 t, respectively.

摘要

本研究旨在调查土地利用的时空变化对生态系统碳储量的影响。该研究基于五个时期(1985年、1995年、2005年、2015年和2020年)的土地利用数据,使用InVEST模型分析了研究区域内碳储量的时空变化。利用PLUS模型预测了2035年研究区域在四种不同情景(自然发展、农田保护、生态保护以及农田与生态双重保护)下的土地利用变化,并估算了不同情景下的生态系统碳储量。研究结果表明,研究区域内的农田面积自1985年至2020年持续减少,2015年至2020年期间变化速率更快。在此期间,土地利用的总体动态变化率达到34.62%。此外,该区域的碳储量多年来呈下降趋势,1985年至2020年减少了1.55×10吨。2005年至2015年期间,碳储量减少了1.22×10吨,年均减少1.22×10吨。碳储量较高的区域位于研究区域的东部,而碳储量较低的区域则位于中部和西北部。尽管农田碳储量的占比从66.89%降至57.73%,但农田仍是研究区域内最重要的碳库。其他土地利用类型向草地和林地的转变有利于增加生态系统碳储量。最后,研究预测到2035年,自然发展情景、农田保护情景、生态保护情景和双重保护情景下的碳储量将分别为81.77×10、82.45×10、82.82×10和82.51×10吨。

相似文献

1
[Spatio-temporal Evolution and Prediction of Carbon Storage in Huaibei City Based on InVEST-PLUS Model].基于InVEST-PLUS模型的淮北市碳储量时空演变及预测
Huan Jing Ke Xue. 2024 Jun 8;45(6):3270-3283. doi: 10.13227/j.hjkx.202306110.
2
Spatio-temporal evolution and prediction of carbon storage in Kunming based on PLUS and InVEST models.基于 PLUS 和 InVEST 模型的昆明碳储量时空演变与预测。
PeerJ. 2023 May 23;11:e15285. doi: 10.7717/peerj.15285. eCollection 2023.
3
[Temporal and spatial variations of carbon storage and carbon sink improvement strategy at the district and county level based on PLUS-InVEST model: Taking Yanqing District as an example].基于PLUS-InVEST模型的区县尺度碳储量时空变化及碳汇提升策略——以延庆区为例
Ying Yong Sheng Tai Xue Bao. 2023 Dec;34(12):3373-3384. doi: 10.13287/j.1001-9332.202312.019.
4
[Spatial and Temporal Evolution and Prediction of Carbon Storage in Kunming City Based on InVEST and CA-Markov Model].基于InVEST和CA-Markov模型的昆明市碳储量时空演变及预测
Huan Jing Ke Xue. 2024 Jan 8;45(1):287-299. doi: 10.13227/j.hjkx.202302060.
5
[Spatial-Temporal Evolution and Prediction of Carbon Storage in Jiuquan City Ecosystem Based on PLUS-InVEST Model].基于PLUS-InVEST模型的酒泉市生态系统碳储量时空演变及预测
Huan Jing Ke Xue. 2024 Jan 8;45(1):300-313. doi: 10.13227/j.hjkx.202302222.
6
Ecosystem carbon storage assessment and multi-scenario prediction in the Weihe River Basin based on PLUS-InVEST model.基于 PLUS-InVEST 模型的渭河流域生态系统碳储量评估及多情景预测。
Ying Yong Sheng Tai Xue Bao. 2024 Aug;35(8):2044-2054. doi: 10.13287/j.1001-9332.202408.023.
7
[Multi-scenario Simulation of Construction Land Expansion and Its Impact on Ecosystem Carbon Storage in Beijing-Tianjin-Hebei Urban Agglomeration].[京津冀城市群建设用地扩张及其对生态系统碳储量影响的多情景模拟]
Huan Jing Ke Xue. 2024 May 8;45(5):2828-2839. doi: 10.13227/j.hjkx.202305221.
8
[Spatio-temporal Evolution and Multi-scenario Simulation of Carbon Storage in Karst Regions of Central Guizhou Province:Taking Puding County as An Example].[黔中喀斯特地区碳储量的时空演变与多情景模拟:以普定县为例]
Huan Jing Ke Xue. 2024 Feb 8;45(2):961-973. doi: 10.13227/j.hjkx.202302238.
9
[Ecosystem Services Assessment and Multi-Scenario Prediction in Liaoning Province from 2000 to 2020].[2000年至2020年辽宁省生态系统服务评估与多情景预测]
Huan Jing Ke Xue. 2024 Jul 8;45(7):4137-4151. doi: 10.13227/j.hjkx.202307237.
10
Simulation of future land use/cover change (LUCC) in typical watersheds of arid regions under multiple scenarios.多情景下干旱区典型流域未来土地利用/覆被变化(LUCC)模拟
J Environ Manage. 2023 Jun 1;335:117543. doi: 10.1016/j.jenvman.2023.117543. Epub 2023 Feb 26.

引用本文的文献

1
The impact of the Grain-for-Green Programme on carbon storage in the Upper Yangtze River Basin based on the PLUS-InVEST model.基于PLUS-InVEST模型的长江上游流域退耕还林工程对碳储量的影响
Carbon Balance Manag. 2025 Jul 30;20(1):24. doi: 10.1186/s13021-025-00315-2.