Literature DB >> 33494445

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

Rongtian Zhang1, Jianfei Lu1.   

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.

Entities:  

Keywords:  CLUE-S; Suzhou; land use; landscape pattern; many situations; spatial–temporal simulation

Mesh:

Year:  2021        PMID: 33494445      PMCID: PMC7908552          DOI: 10.3390/ijerph18030921

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  8 in total

1.  Modeling the spatial dynamics of regional land use: the CLUE-S model.

Authors:  Peter H Verburg; Welmoed Soepboer; A Veldkamp; Ramil Limpiada; Victoria Espaldon; Sharifah S A Mastura
Journal:  Environ Manage       Date:  2002-09       Impact factor: 3.266

2.  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.

Authors:  Meng Wu; Xiangyu Ren; Yue Che; Kai Yang
Journal:  Environ Manage       Date:  2015-04-30       Impact factor: 3.266

3.  Assessing temporal-spatial land use simulation effects with CLUE-S and Markov-CA models in Beijing.

Authors:  Fangyu Zheng; Yecui Hu
Journal:  Environ Sci Pollut Res Int       Date:  2018-09-17       Impact factor: 4.223

4.  Mapping temporal and spatial changes in land use and land surface temperature based on MODIS data.

Authors:  Tzu-Ling Chen
Journal:  Environ Res       Date:  2020-11-05       Impact factor: 6.498

5.  A GIS and remote sensing aided assessment of land use/cover changes in resettlement areas; a case of ward 32 of Mazowe district, Zimbabwe.

Authors:  Mark Matsa; Oshneck Mupepi; Tatenda Musasa; Rameck Defe
Journal:  J Environ Manage       Date:  2020-09-11       Impact factor: 6.789

Review 6.  Review of the use of system dynamics (SD) in scrutinizing local energy transitions.

Authors:  Sujeetha Selvakkumaran; Erik O Ahlgren
Journal:  J Environ Manage       Date:  2020-07-11       Impact factor: 6.789

7.  Spatial-Temporal Differentiation Analysis of Agricultural Land Use Intensity and Its Driving Factors at the County Scale: A Case Study in Hubei Province, China.

Authors:  Li Yu; Zhanqi Wang; Hongwei Zhang; Chao Wei
Journal:  Int J Environ Res Public Health       Date:  2020-09-21       Impact factor: 3.390

  8 in total
  2 in total

1.  Spatiotemporal Evolution of Non-Grain Production of Cultivated Land and Its Underlying Factors in China.

Authors:  Zhiyuan Zhu; Zhenzhong Dai; Shilin Li; Yongzhong Feng
Journal:  Int J Environ Res Public Health       Date:  2022-07-05       Impact factor: 4.614

2.  Conflict Identification and Zoning Optimization of "Production-Living-Ecological" Space.

Authors:  Pengnan Xiao; Jie Xu; Chong Zhao
Journal:  Int J Environ Res Public Health       Date:  2022-06-29       Impact factor: 4.614

  2 in total

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