Integrated modelling and assessment of forest harvest patterns

森林采伐模式的综合建模和评估

• 批准号: 249844-2009
• 负责人: Meitner, Michael
• 金额: $ 1.75万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=479366
• 关键词: Integrated; modelling; assessment; forest; harvest

Our forests are under increasing pressure to provide economic security through their ability to provide excellent opportunities for high quality outdoor recreation and tourism. Visual quality is paramount in this goal and any increase in visual quality that costs little in the way of traditional economic inputs via forest harvesting represents a win-win situation. Additionally, ecological health and function of the forest is also a very important topic and has direct impacts on our long term societal resilience to weather short term disturbances such as the recent mountain pine beetle epidemic as well as longer term challenges such as climate change. This program of research will help us to better understand how to balance these factors and therefore better steward the forests of Canada for future generations. By extending the development of a prototype application designed to automatically generate potential harvest designs, and assess them on their ability to meet visual quality targets we hope better understand how a given non-visual (economic or ecological) metric interact with visual quality and identify under which landscape conditions possible synergies or conflicts are likely to occur. This research is organized into 4 phases: (I) implement proposed visual effect parameters and metrics into the software program, (II) conduct a preference study to evaluate visual metrics, (III) identify and include non-visual effect metrics into software, and (IV) conduct a final preference study to identify trade-off values. We are confident that this work will provide a deeper look into specific aspects of harvest design and how they affect visual quality. More than simply investigating the visual effect of a harvest after it has been conducted, by using visualization software, we can begin to understand how a particular harvest may appear on a landscape before the harvest has occurred. This will allow us to iteratively check the ways in which disciplinary experts evaluate the harvest designs which underlie variables of interest in their area and how these relate to visual design. Furthermore, we can move to automate some of the harvest design process with the intention of increasing the visual quality of a harvest given our desire to meet various ecological or economic objectives.

我们的森林面临着越来越大的压力，需要通过它们为高质量的户外娱乐和旅游提供极好的机会来提供经济安全。在这一目标中，视觉质量是最重要的，任何视觉质量的提高都将是一个双赢的局面，而通过森林采伐实现的传统经济投入成本很低。此外，森林的生态健康和功能也是一个非常重要的主题，直接影响到我们的社会对短期干扰(如最近的山松甲虫疫情)和长期挑战(如气候变化)的长期适应能力。这项研究计划将帮助我们更好地了解如何平衡这些因素，从而为子孙后代更好地管理加拿大的森林。通过扩展原型应用程序的开发，设计自动生成潜在的收获设计，并评估它们满足视觉质量目标的能力，我们希望更好地理解给定的非视觉(经济或生态)指标如何与视觉质量相互作用，并确定在哪些景观条件下可能发生协同或冲突。本研究分为4个阶段：(I)将所建议的视觉效果参数和度量实施到软件程序中；(Ii)进行偏好研究以评估视觉度量；(Iii)识别非视觉效果度量并将其包括在软件中；以及(Iv)进行最终偏好研究以确定折衷价值。我们相信，这项工作将对收获设计的具体方面提供更深入的了解，以及它们如何影响视觉质量。除了简单地研究收获进行后的视觉效果，通过使用可视化软件，我们可以开始了解特定的收获在收获发生之前可能如何出现在风景上。这将使我们能够反复检查学科专家评估其领域中感兴趣的变量背后的收获设计的方式，以及这些与视觉设计的关系。此外，考虑到我们满足各种生态或经济目标的愿望，我们可以将一些收获设计过程自动化，目的是提高收获的视觉质量。