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A model to help people to realize sustainable forestry futures

机译:帮助人们实现可持续林业未来的模型

摘要

People usually know how they want their situation to change to secure a better future - but they do not always know how to change their situation. Initiatives intended to secure a better future do not always work as intended, and may have unintended side effects. Computer models can help advocates explore consequences of proposed initiatives, so they can make informed selections of alternatives, secure in the knowledge that consequences have been thoroughly investigated. By encouraging people to explore scenarios, models empower people to be more innovative and less dependent on technocrats. Models also enable planners to experiment with policy without risks to people or to the environment. Emerging software solves many technical limitations, but the real issue is not software, but rather the provision of a supportive framework within which people can express and experiment with ideas. FLORES, the Forest Land Oriented Resource Envisioning System, provides such a framework to stimulate interdisciplinary collaboration between researchers, practitioners and clients. Two recent workshops have demonstrated the feasibility of FLORES, one of which provides the subject matter for a forthcoming issue of Small-scale Forest Economics, Management and Policy. However, FLORES is not about software; it is about providing the means to explore the consequences of alternative scenarios. Ultimately, FLORES is not a physical package, but an association of users and the interactions they have amongst themselves, and with the people involved in policy-making. By promoting this emerging network and providing technical support we encourage more people, especially those from developing countries, to influence the development of FLORES and the issues that can be explored within it.
机译:人们通常知道如何改变自己的状况以确保更好的未来-但是他们并不总是知道如何改变自己的状况。旨在确保更美好未来的举措并非总是能按预期进行,并且可能会产生意想不到的副作用。计算机模型可以帮助倡导者探索拟议举措的后果,因此他们可以在知悉后果已得到彻底调查的前提下,对替代方案进行明智的选择。通过鼓励人们探索场景,模型可以使人们更具创新能力,并减少对技术专家的依赖。模型还使计划人员可以尝试政策,而不会给人员或环境带来风险。新兴的软件解决了许多技术限制,但真正的问题不是软件,而是提供了一个支持性框架,人们可以在其中表达和尝试思想。 FLORES是面向林地的资源设想系统,它提供了这样的框架来促进研究人员,从业人员和客户之间的跨学科合作。最近的两次研讨会证明了FLORES的可行性,其中之一为即将出版的《小规模森林经济学,管理和政策》提供了主题。但是,FLORES与软件无关。它旨在提供探索替代方案后果的方法。最终,FLORES并不是一个物理包,而是用户及其与他们之间以及与决策人员的互动的关联。通过促进这一新兴网络并提供技术支持,我们鼓励更多的人,尤其是发展中国家的人们,来影响FLORES的发展以及其中可以探讨的问题。

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