Purpose of Review

Theoretical frameworks for adaptive natural resource management are quite common, whereas documented examples showing successful implementation of adaptive management and learning through multiple time intervals have remained uncommon. Measures of quality of adaptive natural resource management processes are needed to examine potential factors driving the successful implementation. To address this gap, we developed a multimetric index composed of 22 metrics to assess quality of case studies using quantitative decision support (QDS) to inform adaptive forest management (AFM). Metrics represented three main tasks, including conceptual setup, modeling, and application. We further distinguished these into subtasks: definition of objectives and management options (setup); specifying uncertainty, prediction, and optimization (modeling); and stakeholder involvement along with practice and learning (application). We used a multimetric index to examine temporal and geographic variation in quality of reviewed case studies using QDS to inform AFM. We then conducted a structured literature review of 179 articles, wherein 34 case studies met a priori criteria.

Recent Findings

When applying the multimetric index to these case studies, we found that over the past decade the index has been intermediate and annual average scores declined by 33% from 4.5 to 3.0 of 10 (where 10 is the highest possible quality score). Aligning with reviews of adaptive natural resource management, reported on-ground application of QDS to inform AFM was rare (n = 2). We also confirmed the expectation that there has been a substantial lack of stakeholder engagement during QDS development tasks.

Summary

Our multimetric index provides a novel tool to examine gaps in the use of QDS for adaptive management in diverse domains including but not limited to forests.

中文翻译：

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定量决策支持中的空白，以指导适应性管理和学习：森林经营案例回顾

审查目的

适应性自然资源管理的理论框架非常普遍，而有文献记载的例子表明，成功实施适应性管理和通过多个时间间隔进行学习仍然很少见。需要采取适应性自然资源管理过程质量的措施，以检查驱动成功实施的潜在因素。为了解决这一差距，我们开发了一个由22个指标组成的多指标索引，使用定量决策支持（QDS）来评估适应性森林管理（AFM），从而评估案例研究的质量。指标代表三个主要任务，包括概念设置，建模和应用程序。我们进一步将它们分为子任务：目标和管理选项（设置）的定义；指定不确定性，预测和优化（建模）；利益相关者的参与以及实践和学习（应用）。我们使用多指标索引来检查使用QDS告知AFM的案例研究质量的时间和地理差异。然后，我们对179篇文章进行了结构化的文献综述，其中34个案例研究符合先验标准。

最近的发现

将多指标指标应用于这些案例研究时，我们发现在过去的十年中，该指标处于中等水平，年平均分数从4.5下降到3.0（满分为10），下降了33％（其中10是最高的质量得分）。与适应性自然资源管理的评论相一致，报告的QDS在地面上应用以告知AFM的情况很少（n  = 2）。我们还确认了在QDS开发任务期间基本上缺乏利益相关者参与的期望。

概要

我们的多指标索引提供了一种新颖的工具，可以检查QDS在包括但不限于森林在内的不同领域中用于自适应管理的差距。