Participatory modeling and analysis for sustainable forest management: Overview of soft system dynamics models and applications

Participatory modeling and analysis for sustainable forest management: Overview of soft system dynamics models and applications
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DOI:
10.1016/j.forpol.2005.06.006
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发表时间:
2006-11-30
影响因子:
4
通讯作者:
Prabhu, Ravi
Prabhu, Ravi
中科院分区:
农林科学2区
文献类型:
--
作者:
Mendoza, Guillenno A.;Prabhu, Ravi

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参与性的自然资源管理和开发办法被广泛接受为实现可持续资源管理的有效手段,特别是在发展中国家。本文概述了参与式建模框架下的软系统动力学方法,该框架与评估可持续森林管理的参与式方法是一致的。描述了三种常见的软系统动力学模型:认知映射、定性系统动力学和模糊认知映射。这三个模型需要不同的信息需求、知识库和不同程度的复杂性。这些模型可以作为独立的资源管理工具进行开发和使用。或者,视有关资源管理系统的复杂程度和信息的可获得性而定,可以将它们结合起来,以构成一个更稳健和更灵活的规划框架。本文描述了这些模型在不同案例研究中的应用。前两个模型的应用在其他地方有详细的报道,因此,它们只作了简要的描述。第三个模型,称为模糊认知映射,包括一个说明性的案例研究,被更详细地描述。还讨论了从这些选定的应用程序中吸取的经验和教训。(C)2005爱思唯尔B.X。保留所有权利。
Participatory approaches to natural resource management and development are widely accepted as effective instruments for achieving sustainable resource management particularly in the developing nations. This paper presents an over-view of soft system dynamics methods under a participatory modeling framework that is consistent with participatory approaches to assessing sustainable forest management. Three general types of soft system dynamics models are described: cognitive mapping, qualitative system dynamics, and fuzzy cognitive mapping. The three models entail different information requirements, knowledge base, and varying degrees of complexity. The models can be developed and used as stand-alone resource management tools. Or, depending on the level of complexity and the availability of information about the resource management system in question, they can be integrated to constitute a more robust and flexible planning framework. This paper describes applications of these models in different case studies. Applications of the first two models are reported in detail elsewhere, hence, they are only described briefly. The third model, called fuzzy cognitive mapping, is described in more detail including an illustrative case study. Experiences and lessons learned from these selected sets of applications are also discussed. (c) 2005 Elsevier B.X. All rights reserved.