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基于主体模型的人地系统复杂性研究
Research on the complexity of man-land system based on agent-based models

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文摘 人地系统是人类社会与地理环境的耦合系统,属于典型的复杂系统。基于主体的模型(Agent-based models,ABM)作为研究复杂系统的重要工具,可以为人地系统研究提供新的方法支持。与传统模型不同,基于主体的模型更多的关注“人”的研究,注重体现人类主体行为决策在人地系统变化中的重要作用,并以一种空间显性的方式来表现人类活动对地理环境的动态影响。在总结回顾人地系统理论的基础上,介绍ABM的基本理论与技术,综述ABM在生态过程、生态系统管理和土地利用/覆被变化三个方向的应用及研究现状,分析概括ABM模拟中存在的主要问题,并对ABM未来发展的方向进行探讨。
其他语种文摘 As a typical complex system,man-land system is known as a coupled human and natural system. The complexity of man-land system can be divided into three critical dimensions-temporal complexity,spatial complexity and decision-making complexity. In modeling complex systems,traditional models are deficient in displaying data in multiple dimensions,and thus require additional research. Recent studies suggest that the agent-based models (ABM) would provide insights on exploratory analysis and serve as one of the key tools for complex system studies. In contrast to traditional models,ABM pays more attention to the study of 'people',focusing on assessing the influence of human activities on the environment,and can reflect it in a spatially explicit way. The models usually contain three parts: (1) environmental layer,which is composed of natural/social attribute such as terrain slope,land price and traffic condition; (2) agent layer,consisting of one or more agent types with specific attributes; (3) behavior rule,standardizing the mutual consultation and decision-making mode of agents. ABM adopts a 'bottom-up' approach by applying the relevant actors and decisions at the micro-level to producing an observable macro-phenomenon,and displaying high complexity values in three dimensions. Currently,ABM approaches are widely used to model human-environment interactions in various fields,including transportation,financial markets and tourism management. After the basic principles of agent-based simulation are briefly introduced,this paper reviews the application of ABM in ecological process,ecological resource management and land use/cover change. However,as a new method,ABM is still at an exploratory stage,faced by issues including replication potential,empirical parameterization and model validation,individual decision making,and integration with other models. Although there are many challenges,the recent developments reflect an encouraging trend towards developing a new methodology for dynamic spatial modeling of human-environment interactions. The outlook of ABM is promising.
来源 地理研究 ,2017,36(10):1925-1935 【核心库】
DOI 10.11821/dlyj201710009
关键词 人地系统 ; 基于主体的模型 ; 复杂性 ; 主体
地址

中国科学院地理科学与资源研究所, 中国科学院陆地表层格局与模拟重点实验室, 北京, 100101

语种 中文
文献类型 研究性论文
ISSN 1000-0585
学科 社会与环境
基金 国家973计划 ;  国家自然科学基金项目 ;  中国科学院重点部署项目 ;  中国科学院科技战略咨询研究院重大咨询项目
文献收藏号 CSCD:6094962

参考文献 共 53 共3页

1.  Vitousek P M. Human domination of Earth's ecosystems. Science,1997,277(5325):494-499 被引 418    
2.  Trumbore S E. Potential responses of soil organic carbon to global environmental change. Proceedings of the National Academy of Sciences,1997,94(16):8284-8291 被引 39    
3.  Lambin E F. Dynamics of land-use and land-cover change in tropical regions. Annual Review of Environment and Resources,2003,28(1):205-241 被引 71    
4.  Hulme M. Meet the humanities. Nature Climate Change,2011,1(4):177-179 被引 1    
5.  Marchi D S. Agent-based models. Annual Review of Political Science,2014,17:1-20 被引 1    
6.  Parker D C. Multi-agent systems for the simulation of land-use and land-cover change:A review. Annals of the Association of American Geographers,2003,93(2):314-337 被引 95    
7.  吴次芳. 土地生态系统的复杂性研究. 应用生态学报,2002,13(6):753-756 被引 20    
8.  余强毅. 复杂系统理论与Agent模型在土地变化科学中的研究进展. 地理学报,2011,66(11):1518-1530 被引 38    
9.  薛领. 复杂性科学理论与区域空间演化模拟研究. 地理研究,2002,21(1):79-88 被引 20    
10.  宋学锋. 复杂性, 复杂系统与复杂性科学. 中国科学基金,2003,17(5):262-269 被引 12    
11.  吴传钧. 论地理学的研究核心:人地关系地域系统. 经济地理,1991,11(3):1-5 被引 305    
12.  王成超. 人地系统复杂性机理剖析. 海南师范大学学报:自然科学版,2010,23(2):219-223 被引 1    
13.  甘国辉. 地理学与地理系统复杂性研究. 系统辩证学学报,2004,12(3):78-83 被引 3    
14.  杨国安. 人地系统复杂性思考. 科技导报,2002,20(3):58-60 被引 3    
15.  陆大道. 关于地理学的“人-地系统”理论研究. 地理研究,2002,21(2):135-145 被引 104    
16.  王黎明. 全球变化视角下人地系统研究面临的几个问题探讨. 地理科学,2003,23(4):391-397 被引 13    
17.  Agarwal C. A review and assessment of land-use change models:dynamics of space, time and human choice. Journal of Religious Studies,2000,79:136-141 被引 1    
18.  李双成. 复杂性科学视角下的地理学研究范式转型. 地理学报,2010,65(11):1315-1324 被引 27    
19.  黎夏. 地理模拟系统:元胞自动机与多智能体,2007 被引 74    
20.  An L. Modeling human decisions in coupled human and natural systems:Review of agent- based models. Ecological Modelling,2012,229:25-36 被引 15    
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