Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects | |
Ren, Yanjiao; Lu, Yihe; Comber, Alexis; Fu, Bojie; Harris, Paul; Wu, Lianhai | |
刊名 | EARTH-SCIENCE REVIEWS |
2019-03 | |
卷号 | 190页码:398-415 |
关键词 | Land cover Land use Pattern-based model Process-based model Spatially explicit simulation |
ISSN号 | 0012-8252 |
英文摘要 | Land use/land cover (LULC) change models are powerful tools used to understand and explain the causes and effects of LULC dynamics, and scenario-based analyses with these models can support land management and decision-making better. This paper provides a synoptic and selective review of current LULC change models and the novel frameworks that are being used to investigate LULC dynamics. Existing LULC models that explore the interactions between human and the environment can be pattern- or process-based, inductive or deductive, dynamic or static, spatial or non-spatial, and regional or global. This review focuses on the spectrum from pattern- to process-based approaches and compares their strengths, weaknesses, applications, and broad differences. We draw insights from the recent land use change literature and make five suggestions that can support a deeper understanding of land system science by: (1) overcoming the difficulties in comparing and scaling Agent Based Models; (2) capturing interactions of human-environment systems; (3) enhancing the credibility of LULC change modeling; (4) constructing common modeling platforms by coupling data and models, and (5) bridging the associations between LULC change modeling and policy-making. Although considerable progress has been made, theoretical and empirical efforts are still needed to improve our understanding of LULC dynamics and their implications for policy-oriented research. It is crucial to integrate the key elements of research involved in this study (e.g., use of common protocols and online portals, integration of top-down and bottom-up approaches, effective quantification and communication of modeling uncertainties, generalization and simplification of models, increased focus on the theoretical and empirical bases of models, and open comparative research) to bridge the gaps between small-scale process exploration and large-scale representation of LULC patterns, and to use LULC change modeling to inform decision-making. |
内容类型 | 期刊论文 |
源URL | [http://ir.rcees.ac.cn/handle/311016/42804] |
专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
作者单位 | 1.Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England 2.Chinese Acad Sci, State Key Lab Urban & Reg Ecol, Res Ctr Ecoenvironm Sci, POB 2871, Beijing 100085, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Rothamsted Res, Okehampton EX20 2SB, Devon, England |
推荐引用方式 GB/T 7714 | Ren, Yanjiao,Lu, Yihe,Comber, Alexis,et al. Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects[J]. EARTH-SCIENCE REVIEWS,2019,190:398-415. |
APA | Ren, Yanjiao,Lu, Yihe,Comber, Alexis,Fu, Bojie,Harris, Paul,&Wu, Lianhai.(2019).Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects.EARTH-SCIENCE REVIEWS,190,398-415. |
MLA | Ren, Yanjiao,et al."Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects".EARTH-SCIENCE REVIEWS 190(2019):398-415. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论