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森林模拟优化模型(forest simulation and optimization system,FSOS)已在加拿大不列颠哥伦比亚省和中国长白山区得到广泛应用.FSOS模型基于多种资源协调平衡管理观点,采用金属模拟退火优化算法安排森林经营作业方案,在实现森林经营多目标长期可持续协调发展的基础上达到森林资源的理想状态.FSOS模型中的多功能(或多目标)包括水的储存和净化、二氧化碳的截获、野生动物生境保护、生物多样性维持、可视景观质量与木材生产等,其目标的参照系“森林理想状态”由专家、环境组织和政府政策根据生态系统的多功能进行综合界定.本文详细介绍了FSOS基本参数和理想状态的界定,及金属模拟退火优化算法在森林生态系统规划中的应用,为实现森林生态系统多种资源的规划管理以及政府定量分析和管理森林生态系统的多种资源并有效监督森林作业和多种资源变化、实现森林资源可持续利用提供帮助.
Forest simulation and optimization system (FSOS) has been widely used in British Columbia of Canada and Changbai Mountain of China.FSOS model based on a variety of resources coordination and balance management point of view, the use of simulated annealing optimization algorithm to arrange forest management program, Achieving the ideal state of forest resources on the basis of long-term, sustainable and coordinated development of multi-objective and sustainable forest management The multi-functional (or multi-objective) in the FSOS model includes the storage and purification of water, the capture of carbon dioxide, the conservation of wildlife habitat, The goal of the reference frame “ideal state of forest ” is comprehensively defined by experts, environmental organizations and government policies according to the multi-functions of the ecosystem.This paper introduces the basic parameters of FSOS and The definition of ideal state and the application of metal simulated annealing optimization algorithm in forest ecosystem planning. In order to realize the planning and management of various resources in forest ecosystem and the government quantitatively analyze and manage various resources of forest ecosystem and effectively supervise forest operations and A variety of resources change, to achieve Sustainable use of forest resources to help.