Hybrid ecological models to inform management and conservation decisions in production landscapes

混合生态模型为生产景观中的管理和保护决策提供信息

• 批准号: 250120-2013
• 负责人: Parrott, Lael
• 金额: $ 1.97万
• 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: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=524931
• 关键词: Hybrid; ecological; models; inform; management

This Discovery Grant will fund a research program focused on the study of landscapes as complex environmental systems and the incorporation of methods from complex systems studies into current resource management and conservation approaches. One important aspect of landscape complexity is the multitude of connections and interactions between different human and ecological components. Due to a lack of appropriate methods of system analysis to deal with all of these interactions, such complexity is often ignored or disregarded by current models and management approaches. One solution to this challenge may be to represent a landscape as a network, in which human and ecological components are nodes, and flows of material, energy or information between components are links. The objective of the proposed research is thus to create novel network-based models of landscapes and to develop new quantitative methods to analyse the structure of these networks. This approach will build on cutting edge methods in complex network analysis and may provide new insight into the structural configurations of landscapes that are most important for sustainability, resilience or biodiversity conservation. The methods will be applied to two case studies: a) the Eyre Peninsula, which is a largely agricultural system in South Australia, and b) a section of managed boreal forest in Quebec's "Cote Nord" region. The network models will be used to inform ecosystem management and biological conservation decisions in the two regions, providing managers with powerful tools to assess the potential cumulative effects of human and natural drivers of change on these landscapes. By providing novel, cross-disciplinary tools and approaches for studying landscapes as complex systems this research program will significantly advance quantitative methods in the field of environmental science. The research will also contribute to informing managers and stakeholders about the complex interactions within a landscape and the need to take a whole-systems approach to environmental management.

该发现基金将资助一个研究项目，重点研究景观作为复杂环境系统的研究，并将复杂系统研究的方法纳入当前的资源管理和保护方法。景观复杂性的一个重要方面是不同的人类和生态成分之间的大量联系和相互作用。由于缺乏适当的系统分析方法来处理所有这些相互作用，这种复杂性经常被当前的模型和管理方法所忽略或忽视。应对这一挑战的一个解决方案可能是将景观描绘成一个网络，其中人类和生态组成部分是节点，而组成部分之间的物质、能量或信息流是链接。因此，提出的研究目标是创建新的基于网络的景观模型，并开发新的定量方法来分析这些网络的结构。这种方法将建立在复杂网络分析的前沿方法之上，并可能为景观的结构配置提供新的见解，这些结构配置对可持续性、弹性或生物多样性保护最为重要。这些方法将应用于两个案例研究：a) Eyre半岛，这是南澳大利亚的一个主要农业系统；b)魁北克“Cote north”地区的一段管理的北方森林。这些网络模型将被用来为这两个地区的生态系统管理和生物保护决策提供信息，为管理者提供强大的工具来评估这些景观变化的人为和自然驱动因素的潜在累积效应。通过提供新颖的、跨学科的工具和方法来研究景观作为复杂系统，该研究项目将显著推进环境科学领域的定量方法。这项研究还将有助于使管理人员和利益相关者了解景观内的复杂相互作用，以及采取整体系统方法进行环境管理的必要性。