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An integrated decision-support approach in prioritizing risks of non-indigenous species in the face of high uncertainty

机译:面对高度不确定性时,综合决策支持方法可优先考虑非本土物种的风险

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摘要

When evaluating the risks of future invasions, we often have sparse information on the likelihood that a species will arrive, establish and spread in a new environment, and on the potential impacts should this occur. Conventional risk assessment, therefore, is limited in providing guidance in managing the risk of non-indigenous species (NIS). However, risk management decisions must be made facing these uncertainties to avoid high and irreversible impacts.We develop an integrated ecological economic modeling and deliberative multi-criteria evaluation (DMCE) approach to support group decision-making in risk prioritization, using an example of ten NIS that could potentially impact Australian plant industries. This innovative approach seeks to combine the advantages of dynamic modeling with the benefits of DMCE in assessing and communicating uncertainty. The model unveils the complexity of the socio-ecological system of biological invasion, with a scenario analysis designed to interactively communicate scientific uncertainty to decision-makers. The DMCE provides a structured approach to identifying stakeholders' key concerns in addressing economic, social, and environmental dimensions of NIS risk explicitly. Functioning as a platform for risk communication, the DMCE also offers an opportunity for diverse views to enter the decision-making process and for the negotiation of consensus consensuses.
机译:在评估未来入侵的风险时,我们通常缺乏有关物种到达,在新环境中建立和传播的可能性以及这种情况可能产生的潜在影响的稀疏信息。因此,常规风险评估在提供管理非本地物种(NIS)风险的指导方面受到限制。但是,必须针对这些不确定性制定风险管理决策,以避免产生高且不可逆的影响。我们以十个示例为例,开发了一种集成的生态经济建模和协商性多标准评估(DMCE)方法来支持风险优先级中的团队决策。可能会影响澳大利亚植物产业的NIS。这种创新方法旨在将动态建模的优势与DMCE的优势相结合,以评估和传达不确定性。该模型揭示了一种情景分析,旨在以交互方式将科学不确定性传达给决策者,从而揭示了生物入侵的社会生态系统的复杂性。 DMCE提供了一种结构化的方法,可用于确定利益相关者在明确解决NIS风险的经济,社会和环境方面的主要问题。 DMCE作为风险沟通的平台,还提供了机会,使人们可以以各种观点进入决策过程并协商共识。

著录项

  • 来源
    《Ecological Economics》 |2011年第11期|p.1924-1930|共7页
  • 作者单位

    CSIRO Ecosystem Sciences, GPO Box 1700, Canberra ACT 2601, Australia Cooperative Research Centre for National Plant Biosecurity, Australia;

    University of Manitoba, The Natural Resources Institute, 70 Dysart Road, Winnipeg, Manitoba, Canada R3T2N2 Cooperative Research Centre for National Plant Biosecurity;

    Cooperative Research Centre for Spatial Information, Australia;

    Biosecurity Queensland, Department of Employment, Economic Development and Innovation, GPO Box 46, Brisbane OLD 4001, Australia;

    Department of Agriculture and Food Western Australia, Locked Bag 4, Bentley Delivery, Centre WA 6983, Australia;

    CSIRO Ecosystem Sciences, GPO Box 1700, Canberra ACT 2601, Australia Cooperative Research Centre for National Plant Biosecurity, Australia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Invasive alien species (IAS); Pest risk management; Multi-criteria decision analysis; Participatory decision-making;

    机译:外来入侵物种(IAS);虫害风险管理;多标准决策分析;参与式决策;
  • 入库时间 2022-08-18 01:14:49

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