• 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

从多情景视角模拟土地利用格局演变:以中国安徽省苏州市为例。

Simulation of Land Use Pattern Evolution from a Multi-Scenario Perspective: A Case Study of Suzhou City in Anhui Province, China.

机构信息

New Rural Development Research Institute, Yangzhou University, Yangzhou 225009, China.

出版信息

Int J Environ Res Public Health. 2021 Jan 21;18(3):921. doi: 10.3390/ijerph18030921.

DOI:10.3390/ijerph18030921
PMID:33494445
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7908552/
Abstract

Land use/land cover change is a frontier issue in the field of geography research. Taking Suzhou City in Anhui Province as the research case, based on thematic mapper /enhanced thematic mapper+ (TM/ETM+) remote sensing data from 1998 to 2018, through the transfer matrix model and modified conversion of land use and its effects at small region extent (CLUE-S) model, the simulation of the land use landscape pattern evolution was studied from a multi-scenario perspective. The results showed that in the past 20 years, landscape patterns have undergone spatial-temporal conversion, which was mainly manifested as the evolution from a cultivated land landscape and other agricultural land to construction land, and there was some transformation between other landscape types, but the transformation degree was not significant. The spatial autocorrelation factor was introduced to correct the CLUE-S model, and the Kappa index reached 0.83, indicating that the modified CLUE-S model had a good simulation accuracy. (I) In the cultivated land protection scenario, limiting the conversion of basic farmland use, and by 2028, the proportion of cultivated land increased by 5.23%, distributed in eastern Suzhou City; (II) in the economic development scenario, by 2028, the construction land area increased by 14.58%, and was distributed in the surrounding regions of the built-up areas; and (III) in the ecological protection scenario, by 2028, wood land, water, and other ecological protection land area increased, and were distributed in the central and eastern part of Suzhou City. Research can provide useful decision-making support for land use optimization and remediation.

摘要

土地利用/土地覆被变化是地理学研究领域的一个前沿问题。以安徽省宿州市为研究案例,基于 1998 年至 2018 年的主题绘图仪/增强型主题绘图仪+(TM/ETM+)遥感数据,采用转移矩阵模型和改进的小区域土地利用及其影响转换(CLUE-S)模型,从多情景角度研究了土地利用景观格局演变的模拟。结果表明,在过去的 20 年里,景观格局发生了时空转换,主要表现为耕地景观和其他农业用地向建设用地的演变,其他景观类型之间也存在一些转化,但转化程度不明显。引入空间自相关因子对 CLUE-S 模型进行修正,Kappa 指数达到 0.83,表明修正后的 CLUE-S 模型具有较好的模拟精度。(I)在耕地保护情景下,限制基本农田用途的转化,到 2028 年,耕地比例增加 5.23%,分布在宿州市东部;(II)在经济发展情景下,到 2028 年,建设用地面积增加 14.58%,分布在建成区周边地区;(III)在生态保护情景下,到 2028 年,林地、水域等生态保护用地面积增加,分布在宿州市中部和东部。研究可为土地利用优化和整治提供有益的决策支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/9b622a03faee/ijerph-18-00921-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/d05a715e13e1/ijerph-18-00921-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/e1d237a33ab4/ijerph-18-00921-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/97c4c6f4108b/ijerph-18-00921-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/1f13817669da/ijerph-18-00921-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/6b9f1394c5cb/ijerph-18-00921-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/9b622a03faee/ijerph-18-00921-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/d05a715e13e1/ijerph-18-00921-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/e1d237a33ab4/ijerph-18-00921-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/97c4c6f4108b/ijerph-18-00921-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/1f13817669da/ijerph-18-00921-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/6b9f1394c5cb/ijerph-18-00921-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f932/7908552/9b622a03faee/ijerph-18-00921-g006.jpg

相似文献

1
Simulation of Land Use Pattern Evolution from a Multi-Scenario Perspective: A Case Study of Suzhou City in Anhui Province, China.从多情景视角模拟土地利用格局演变:以中国安徽省苏州市为例。
Int J Environ Res Public Health. 2021 Jan 21;18(3):921. doi: 10.3390/ijerph18030921.
2
[Dynamic evolution of landscape spatial pattern in Taihu Lake basin, China].[中国太湖流域景观空间格局的动态演变]
Ying Yong Sheng Tai Xue Bao. 2017 Nov;28(11):3720-3730. doi: 10.13287/j.1001-9332.201711.011.
3
Optimization of land use planning under multi-objective demand-the case of Changchun City, China.多目标需求下的土地利用规划优化——以长春市为例。
Environ Sci Pollut Res Int. 2024 Feb;31(6):9512-9534. doi: 10.1007/s11356-023-31763-3. Epub 2024 Jan 8.
4
Landscape Evolution and It's Impact of Ecosystem Service Value of the Wuhan City, China.中国武汉市的景观演变及其对生态系统服务价值的影响。
Int J Environ Res Public Health. 2021 Dec 9;18(24):13015. doi: 10.3390/ijerph182413015.
5
Trade-Off and Projecting Effects of Land Use Change on Ecosystem Services under Different Policies Scenarios: A Case Study in Central China.不同政策情景下土地利用变化对生态系统服务权衡与预测影响——以华中地区为例。
Int J Environ Res Public Health. 2021 Mar 29;18(7):3552. doi: 10.3390/ijerph18073552.
6
Simulation of regionally ecological land based on a cellular automation model: a case study of Beijing, China.基于元胞自动机模型的区域生态用地模拟:以中国北京为例。
Int J Environ Res Public Health. 2012 Aug;9(8):2986-3001. doi: 10.3390/ijerph9082986. Epub 2012 Aug 17.
7
Multi-Scenario Simulation to Predict Ecological Risk Posed by Urban Sprawl with Spontaneous Growth: A Case Study of Quanzhou.多情景模拟预测自发增长型城市扩张带来的生态风险:以泉州市为例
Int J Environ Res Public Health. 2022 Nov 21;19(22):15358. doi: 10.3390/ijerph192215358.
8
Simulation of Land Use Change and Ecosystem Service Value Dynamics under Ecological Constraints in Anhui Province, China.中国安徽省生态约束下土地利用变化及生态系统服务价值动态模拟。
Int J Environ Res Public Health. 2020 Jun 13;17(12):4228. doi: 10.3390/ijerph17124228.
9
Dynamic simulation and analysis of land use competition patterns to support sustainable territorial spatial management: a case study of Shenyang City, Northeast China.动态模拟和分析土地利用竞争格局,支持可持续的国土空间管理:以中国东北地区沈阳市为例。
Environ Sci Pollut Res Int. 2023 Oct;30(48):106480-106501. doi: 10.1007/s11356-023-29796-9. Epub 2023 Sep 20.
10
Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China.中国淮河流域经济带土地利用变化下的生境质量动态演变与情景模拟。
PLoS One. 2021 Apr 5;16(4):e0249566. doi: 10.1371/journal.pone.0249566. eCollection 2021.

引用本文的文献

1
Spatiotemporal Evolution of Non-Grain Production of Cultivated Land and Its Underlying Factors in China.中国耕地非粮化时空演变特征及其影响因素研究
Int J Environ Res Public Health. 2022 Jul 5;19(13):8210. doi: 10.3390/ijerph19138210.
2
Conflict Identification and Zoning Optimization of "Production-Living-Ecological" Space.“生产-生活-生态”空间冲突识别与分区优化。
Int J Environ Res Public Health. 2022 Jun 29;19(13):7990. doi: 10.3390/ijerph19137990.

本文引用的文献

1
Mapping temporal and spatial changes in land use and land surface temperature based on MODIS data.基于 MODIS 数据的土地利用和地表温度时空变化的测绘。
Environ Res. 2021 May;196:110424. doi: 10.1016/j.envres.2020.110424. Epub 2020 Nov 5.
2
Assessing the interaction of land cover/land use dynamics, climate extremes and food systems in Uganda.评估乌干达土地覆盖/土地利用动态、气候极端事件和粮食系统之间的相互作用。
Sci Total Environ. 2021 Jan 20;753:142549. doi: 10.1016/j.scitotenv.2020.142549. Epub 2020 Sep 28.
3
Spatial-Temporal Differentiation Analysis of Agricultural Land Use Intensity and Its Driving Factors at the County Scale: A Case Study in Hubei Province, China.
县域尺度下农业土地利用强度的时空分异及其驱动因素分析——以湖北省为例。
Int J Environ Res Public Health. 2020 Sep 21;17(18):6910. doi: 10.3390/ijerph17186910.
4
A GIS and remote sensing aided assessment of land use/cover changes in resettlement areas; a case of ward 32 of Mazowe district, Zimbabwe.GIS 和遥感辅助评估津巴布韦马佐韦区 32 分区安置区的土地利用/覆盖变化。
J Environ Manage. 2020 Dec 15;276:111312. doi: 10.1016/j.jenvman.2020.111312. Epub 2020 Sep 11.
5
Review of the use of system dynamics (SD) in scrutinizing local energy transitions.审查系统动力学(SD)在审视地方能源转型中的应用。
J Environ Manage. 2020 Oct 15;272:111053. doi: 10.1016/j.jenvman.2020.111053. Epub 2020 Jul 11.
6
Assessing temporal-spatial land use simulation effects with CLUE-S and Markov-CA models in Beijing.运用 CLUE-S 和 Markov-CA 模型评估北京市时空土地利用模拟效果。
Environ Sci Pollut Res Int. 2018 Nov;25(32):32231-32245. doi: 10.1007/s11356-018-3189-2. Epub 2018 Sep 17.
7
A Coupled SD and CLUE-S Model for Exploring the Impact of Land Use Change on Ecosystem Service Value: A Case Study in Baoshan District, Shanghai, China.一种用于探究土地利用变化对生态系统服务价值影响的耦合系统动力学(SD)与土地利用变化及其影响因子(CLUE-S)模型:以上海市宝山区为例
Environ Manage. 2015 Aug;56(2):402-19. doi: 10.1007/s00267-015-0512-2. Epub 2015 Apr 30.
8
Modeling the spatial dynamics of regional land use: the CLUE-S model.模拟区域土地利用的空间动态:CLUE-S模型。
Environ Manage. 2002 Sep;30(3):391-405. doi: 10.1007/s00267-002-2630-x.