• 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

[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]

[Exploring the Impact of Future Multi-scenario Land Use Change on Henan Province Regional Carbon Storage].

作者信息

Wang Shuang, Zhao Xiao, Zhou Sheng-Hui

机构信息

College of Geographical Science, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou 450046, China.

Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Region, Ministry of Education, Henan University, Zhengzhou 450046, China.

出版信息

Huan Jing Ke Xue. 2025 Jun 8;46(6):3830-3845. doi: 10.13227/j.hjkx.202405168.

DOI:10.13227/j.hjkx.202405168
PMID:40582818
Abstract

Land use/cover change (LUCC) is an important factor affecting regional carbon storage. It is of great significance to study the relationship between LUCC and carbon storage for optimizing land management and improving ecological environment. The land use status of Henan Province has changed significantly in recent years. Based on land cover data and combined with InVEST and PLUS model, this study analyzed the spatio-temporal evolution of LUCC in Henan Province from 2005 to 2020, as well as the development trend of LUCC and carbon storage under the natural development scenario (Q1), ecological protection scenario (Q2), and urban development scenario (Q3). The results show that: ① The total carbon storage of Henan Province decreased 87.47×10 t from 2005 to 2020, and the carbon storage of different land use types was as follows: cropland > forest > grassland > urban area > water area > unused land, which was consistent with the size of land types. ② In the future three scenarios, the area of six land use types in Henan Province was as follows: cropland > forest > urban area > water area > grassland > unused land. The construction land area increased obviously in Q1 and Q3 compared with that in Q2, the grassland increased obviously in Q2 compared with that in Q1 and Q3, and the increase mainly occurred in the central and northern parts of Henan Province. ③ The carbon storage under three scenarios in Henan Province showed a trend of "Q1 decreasing- Q2 increasing- Q3 decreasing" in 2035, indicating that the regional carbon storage will decrease by 12.80×10 t compared with that in 2020 under the condition of good ecological environment. Furthermore, the larger carbon storage was distributed in the western, northern, and southern provincial boundaries of Henan Province. There was a good consistency between LUCC and carbon storage change in Henan Province. Therefore, optimizing the spatial distribution of land use and formulating reasonable policies to protect grassland and forest will help to improve regional carbon reserves. This study can provide scientific reference for Henan Province to further implement sustainable development and achieve the goal of "double carbon".

摘要

土地利用/覆盖变化(LUCC)是影响区域碳储量的重要因素。研究LUCC与碳储量之间的关系对于优化土地管理和改善生态环境具有重要意义。近年来,河南省的土地利用状况发生了显著变化。基于土地覆盖数据,并结合InVEST和PLUS模型,本研究分析了2005年至2020年河南省LUCC的时空演变,以及自然发展情景(Q1)、生态保护情景(Q2)和城市发展情景(Q3)下LUCC和碳储量的发展趋势。结果表明:①2005年至2020年,河南省总碳储量减少了87.47×10 t,不同土地利用类型的碳储量排序为:耕地>森林>草地>城区>水域>未利用地,这与土地类型面积大小一致。②在未来三种情景下,河南省六种土地利用类型的面积排序为:耕地>森林>城区>水域>草地>未利用地。与Q2相比,Q1和Q3情景下建设用地面积明显增加,Q2情景下草地面积比Q1和Q3情景下明显增加,且增加主要发生在河南省中部和北部地区。③2035年河南省三种情景下的碳储量呈现“Q1减少-Q2增加-Q3减少”的趋势,表明在生态环境良好的条件下,区域碳储量将比2020年减少12.80×10 t。此外,较大的碳储量分布在河南省西部、北部和南部边界。河南省LUCC与碳储量变化之间具有良好的一致性。因此,优化土地利用空间布局,制定合理政策保护草地和森林,将有助于提高区域碳储量。本研究可为河南省进一步实施可持续发展、实现“双碳”目标提供科学参考。

相似文献

1
[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.
2
[Spatial-temporal Differentiation Characteristics and Influencing Factors of Cultivated Land NPP in Major Grain Producing Areas (Henan Province)].[主要粮食产区(河南省)耕地净初级生产力的时空分异特征及影响因素]
Huan Jing Ke Xue. 2025 Jun 8;46(6):3632-3644. doi: 10.13227/j.hjkx.202406053.
3
[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.
4
[Spatiotemporal Relationship Between Carbon Emissions and Ecosystem Service Value in Shanxi Province Based on Land Use Change].基于土地利用变化的山西省碳排放与生态系统服务价值时空关系研究
Huan Jing Ke Xue. 2025 Jun 8;46(6):3546-3555. doi: 10.13227/j.hjkx.202405102.
5
[Habitat Quality Evaluation and Simulation Prediction in Hefei City Based on InVEST-PLUS Coupled Modeling].基于InVEST-PLUS耦合模型的合肥市生境质量评价与模拟预测
Huan Jing Ke Xue. 2025 Jun 8;46(6):3772-3783. doi: 10.13227/j.hjkx.202406171.
6
[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.
7
[Multi-scenario Simulation of Production-Living-Ecological Space and Carbon Storage Assessment in Ecological Transition Zone: A Case Study of Gansu Province].生态过渡区生产-生活-生态空间多情景模拟与碳储量评估——以甘肃省为例
Huan Jing Ke Xue. 2025 Jun 8;46(6):3806-3817. doi: 10.13227/j.hjkx.202406166.
8
[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.
9
Land use/cover changes lead to a decrease in carbon storage in arid regions-a case study of Northwest China.土地利用/覆盖变化导致干旱地区碳储量减少——以中国西北为例
Sci Total Environ. 2025 Aug 25;992:179993. doi: 10.1016/j.scitotenv.2025.179993. Epub 2025 Jun 27.
10
[Remote Sensing Evaluation of Ecological Environment Quality in Gansu Province and Quantitative Identification of Its Driving Factors].甘肃省生态环境质量的遥感评价及其驱动因素的定量识别
Huan Jing Ke Xue. 2025 Jun 8;46(6):3730-3746. doi: 10.13227/j.hjkx.202406186.