Wolfslehner Bernhard, Vacik Harald
Department of Forest and Soil Sciences, Institute of Silviculture, University of Natural Resources and Applied Life Sciences, Peter Jordanstr. 82, A-1190 Vienna, Austria.
J Environ Manage. 2008 Jul;88(1):1-10. doi: 10.1016/j.jenvman.2007.01.027. Epub 2007 Apr 6.
Nowadays forestry faces a complex management situation; the understanding of sustainable forest management (SFM) has gone far beyond the original meaning of sustainable yield of timber. SFM strategies should fulfil ecological, economic and social functions without causing damage to other ecosystems. In this understanding, forest management actions cannot be seen as isolated or mono-causal. In this case study, indicators for SFM are arranged in a Pressure-State-Response (PSR) framework at forest management unit level. This framework links pressures on the environment caused by human activities with changes of environmental state (condition) parameters. Forest management also responds to these changes by instituting environmental and economic measures to reduce pressures and restore natural resources. The Analytic Network Process (ANP) is utilized to evaluate the performance of four management strategies with regard to the PSR framework on SFM. Priorities of indicators and alternatives are modelled with the ANP resulting from the interconnections to other indicators and their respective cumulative importance. The approach allows for more detailed information on the network of human influences and their impacts on forest ecosystems and goes beyond the limitations of flat-dimensioned indicator sets.
如今，林业面临着复杂的管理局面；对可持续森林管理（SFM）的理解已远远超出了木材可持续产量的原始含义。可持续森林管理战略应在不损害其他生态系统的情况下履行生态、经济和社会功能。基于这种理解，森林管理行动不能被视为孤立的或单一因果的。在本案例研究中，可持续森林管理指标被安排在森林经营单位层面的压力-状态-响应（PSR）框架中。该框架将人类活动对环境造成的压力与环境状态（条件）参数的变化联系起来。森林管理还通过制定环境和经济措施来应对这些变化，以减轻压力并恢复自然资源。运用网络分析法（ANP）来评估四种管理策略在可持续森林管理的PSR框架方面的绩效。指标和备选方案的优先级通过ANP进行建模，这是由与其他指标的相互联系及其各自的累积重要性所决定的。该方法能够提供关于人类影响网络及其对森林生态系统影响的更详细信息，并且超越了平面维度指标集的局限性。
