首页|Dynamics of Land Use/Land Cover Considering Ecosystem Services for a Dense-Population Watershed Based on a Hybrid Dual-Subject Agent and Cellular Automaton Modeling Approach
Dynamics of Land Use/Land Cover Considering Ecosystem Services for a Dense-Population Watershed Based on a Hybrid Dual-Subject Agent and Cellular Automaton Modeling Approach
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
万方数据
Land use/land cover represents the interactive and comprehensive influences between human activities and natural conditions,leading to potential conflicts among natural and human-related issues as well as among stakeholders.This study introduced economic standards for farmers.A hybrid approach(CA-ABM)of cellular automaton(CA)and an agent-based model(ABM)was developed to effectively deal with social and land-use synergic issues to examine human-environment interactions and projections of land-use conversions for a humid basin in south China.Natural attributes and socioeconomic data were used to analyze land use/land cover and its drivers of change.The major modules of the CA-ABM are initializa-tion,migration,assets,land suitability,and land-use change decisions.Empirical estimates of the factors influencing the urban land-use conversion probability were captured using parameters based on a spatial logistic regression(SLR)model.Simultaneously,multicriteria evaluation(MCE)and Markov models were introduced to obtain empirical estimates of the factors affecting the probability of ecological land conver-sion.An agent-based CA-SLR-MCE-Markov(ABCSMM)land-use conversion model was proposed to explore the impacts of policies on land-use conversion.This model can reproduce observed land-use pat-terns and provide links for forest transition and urban expansion to land-use decisions and ecosystem services.The results demonstrated land-use simulations under multi-policy scenarios,revealing the use-fulness of the model for normative research on land-use management.
Land use/land coverHuman-environment interactionsAgent-based modelCellular automaton
Yutong Li、Yanpeng Cai、Qiang Fu、Xiaodong Zhang、Hang Wan、Zhifeng Yang
展开 >
Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds,Institute of Environmental and Ecological Engineering,Guangdong University of Technology,Guangzhou 510006,China
School of Water Conservancy and Civil Engineering,Northeast Agricultural University,Harbin 150030,China
School of Environmental Science and Engineering,Shandong University,Qingdao 266000,China
Program for Guangdong Introducing Innovative and Entrepreneurial TeamsNational Natural Science Foundation of ChinaKey-Area Research and Development Program of Guangdong Province
NETL
NSTL
万方数据
