Science driven decision support systems for a multifunctional sustainable forest management

通过将土地资源最佳地分配给相互竞争的目的来实现林地的可持续利用是21世纪世纪的一项重大全球挑战。因此，我的研究计划的总体目标是开发，应用和验证一套新的创新方法，用于不确定性下森林管理的空间明确优化。我将遵循一些关键的调查路线。与HQP一起，我将对现有的模型类型进行详细分析，以实现空间上明确的资源分配、经济优化和降低生产风险。其次，我们将开发一套新的创新方法，使用开放的接口，最后，我们将探索方法，并提供解决方案，不断增强数据库可用于决策。我们的工具将使用代数建模语言与外部建模语言相结合来开发，从而实现各种应用。*一旦开发科学驱动的决策支持系统将有助于找到加拿大森林资源的可持续森林管理战略，能够实现多个目标，促进不断的资源供应。我们开发的决策支持系统将有助于实现发展可持续森林资源和可持续企业的目标，这些企业不易受风险的影响，通过使管理人员能够做出明智的决定，并使他们能够在明确的风险制度下考虑一系列森林用途，如非木材生物资源，确保长期经济可持续性和森林价值的可持续保护。将开发的一套创新方法的开源特性，以及对开放接口的强烈关注，将使拟议工作将提供的产出得到不断和持续的改进和调整。**

Achieving sustainable use of forested lands by means of an optimal allocation of land resources to competing purposes is a major global challenge for the 21st century. The overall aim of my research program therefore is to develop, apply and validate a new suite of innovative approaches for a spatially explicit optimization of forest management under uncertainty.***I will follow a number of critical lines of inquiry. Together with HQP I will undertake detailed analyses of existing model types for spatially explicit resource allocation, economic optimization and reduction of production risk. Second we will develop a new suite of innovative approaches using open interfaces and finally we will explore ways and deliver solutions for a constant enhancement of the database available for decision making. Our tools will be developed using algebraic modeling languages in combination with external modeling languages allowing a wide variety of applications.***Once developed science driven decision support systems will help to find sustainable forest management strategies for Canada's forest resource, capable of fulfilling multiple objectives and facilitating constant resource supply. The decision support systems we develop will help to achieve the goal of developing both a sustainable forest resource and sustainable enterprises that are less susceptible towards risks, ensuring long-term economic sustainability and a sustainable conservation of forest values by allowing managers to make informed decisions and enabling them to consider a range of forest uses within explicit risk regimes, such as non-timber bio-resources.***The open source characteristics of the suite of innovative approaches that will be developed, as well as the strong focus on open interfaces will allow for a constant and ongoing advancement and adaption of the output the proposed work will deliver. **