Land use/cover change simulation research: A system literature review based on bibliometric analyses
Land use/cover change (LUCC) simulation is a critical tool for monitoring and predicting LUCC, which is essential for sustainable development and land resource management. This paper employs bibliometric methods to systematically analyze the 2062 papers published in the Web of Science from 1990 to 2...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X24014481 |
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| author | Meili Chen Narimah Samat Mohammad Javad Maghsoodi Tilaki Liyuan Duan |
| author_facet | Meili Chen Narimah Samat Mohammad Javad Maghsoodi Tilaki Liyuan Duan |
| author_sort | Meili Chen |
| collection | DOAJ |
| description | Land use/cover change (LUCC) simulation is a critical tool for monitoring and predicting LUCC, which is essential for sustainable development and land resource management. This paper employs bibliometric methods to systematically analyze the 2062 papers published in the Web of Science from 1990 to 2023, focusing areas including publication trends, overall focus thematic, keyword analysis, and national collaboration network analysis. Key developments encompass spatiotemporal pattern analysis, driving mechanism analysis, simulation model analysis, and comprehensive application analysis. The review identified three categories of models: quantitative prediction models, spatial simulation models, and hybrid models. Despite significant progress, challenges remain in data reliability, the selection and quantification of driving factors, and issues related to spatial and temporal scales. Future research should focus on establishing high spatiotemporal resolution big data systems, multi-scenario theoretical frameworks, multi-scale multi-level spatiotemporal dynamic models, and AI and machine learning. Enhancing the coupling of models improves understanding and prediction of complex LUCC processes, supporting global environmental research, resource management, and policymaking. This approach aligns with the objectives of the 28th Conference of the Parties to the United Nations Framework Convention on Climate Change (COP28) and advances the Sustainable Development Goals (SDGs) by addressing environmental challenges and informing sustainable climate policies. |
| format | Article |
| id | doaj-art-3c61538949a841d792dbbf0dbd61e672 |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-3c61538949a841d792dbbf0dbd61e6722025-01-31T05:10:23ZengElsevierEcological Indicators1470-160X2025-01-01170112991Land use/cover change simulation research: A system literature review based on bibliometric analysesMeili Chen0Narimah Samat1Mohammad Javad Maghsoodi Tilaki2Liyuan Duan3Geoinformatic Unit, School of Humanities, Universiti Sains Malaysia, Penang 11800, MalaysiaGeoinformatic Unit, School of Humanities, Universiti Sains Malaysia, Penang 11800, Malaysia; Corresponding author.Geoinformatic Unit, School of Humanities, Universiti Sains Malaysia, Penang 11800, MalaysiaSchool of Physics, Universiti Sains Malaysia, Penang 11800, Malaysia; Faculty of Architectural Engineering, Guizhou Light Industry Technical College, Guizhou 550025, ChinaLand use/cover change (LUCC) simulation is a critical tool for monitoring and predicting LUCC, which is essential for sustainable development and land resource management. This paper employs bibliometric methods to systematically analyze the 2062 papers published in the Web of Science from 1990 to 2023, focusing areas including publication trends, overall focus thematic, keyword analysis, and national collaboration network analysis. Key developments encompass spatiotemporal pattern analysis, driving mechanism analysis, simulation model analysis, and comprehensive application analysis. The review identified three categories of models: quantitative prediction models, spatial simulation models, and hybrid models. Despite significant progress, challenges remain in data reliability, the selection and quantification of driving factors, and issues related to spatial and temporal scales. Future research should focus on establishing high spatiotemporal resolution big data systems, multi-scenario theoretical frameworks, multi-scale multi-level spatiotemporal dynamic models, and AI and machine learning. Enhancing the coupling of models improves understanding and prediction of complex LUCC processes, supporting global environmental research, resource management, and policymaking. This approach aligns with the objectives of the 28th Conference of the Parties to the United Nations Framework Convention on Climate Change (COP28) and advances the Sustainable Development Goals (SDGs) by addressing environmental challenges and informing sustainable climate policies.http://www.sciencedirect.com/science/article/pii/S1470160X24014481Land use changeLand cover changeSimulation researchSpatiotemporal patternsDriving mechanismsSimulation models |
| spellingShingle | Meili Chen Narimah Samat Mohammad Javad Maghsoodi Tilaki Liyuan Duan Land use/cover change simulation research: A system literature review based on bibliometric analyses Ecological Indicators Land use change Land cover change Simulation research Spatiotemporal patterns Driving mechanisms Simulation models |
| title | Land use/cover change simulation research: A system literature review based on bibliometric analyses |
| title_full | Land use/cover change simulation research: A system literature review based on bibliometric analyses |
| title_fullStr | Land use/cover change simulation research: A system literature review based on bibliometric analyses |
| title_full_unstemmed | Land use/cover change simulation research: A system literature review based on bibliometric analyses |
| title_short | Land use/cover change simulation research: A system literature review based on bibliometric analyses |
| title_sort | land use cover change simulation research a system literature review based on bibliometric analyses |
| topic | Land use change Land cover change Simulation research Spatiotemporal patterns Driving mechanisms Simulation models |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X24014481 |
| work_keys_str_mv | AT meilichen landusecoverchangesimulationresearchasystemliteraturereviewbasedonbibliometricanalyses AT narimahsamat landusecoverchangesimulationresearchasystemliteraturereviewbasedonbibliometricanalyses AT mohammadjavadmaghsooditilaki landusecoverchangesimulationresearchasystemliteraturereviewbasedonbibliometricanalyses AT liyuanduan landusecoverchangesimulationresearchasystemliteraturereviewbasedonbibliometricanalyses |