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Titlebook: Application of Threshold Concepts in Natural Resource Decision Making; Glenn R. Guntenspergen Book 2014 Springer Science+Business Media, L

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發(fā)表于 2025-3-21 18:27:26 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Application of Threshold Concepts in Natural Resource Decision Making
影響因子2023Glenn R. Guntenspergen
視頻videohttp://file.papertrans.cn/160/159188/159188.mp4
發(fā)行地址Helps natural resource specialists and protected area managers routinely use concepts and tools by providing conceptual examples.Professional resource managers will be provided with an entry into the
圖書封面Titlebook: Application of Threshold Concepts in Natural Resource Decision Making;  Glenn R. Guntenspergen Book 2014 Springer Science+Business Media, L
影響因子Natural resource managers face a complex decision-making environment characterized by the potential occurrence of rapid and abrupt ecological change. These abrupt changes are poorly accommodated by traditional natural resource planning and decision-making processes. As recognition of threshold processes has increased, contemporary models of ecological systems have been modified to better represent a broader range of ecological system dynamics. Key conceptual advances associated with the ideas of non-linear responses, the existence of multiple ecological stable states and critical thresholds are more likely the rule than the exception in ecological systems. Once an ecological threshold is crossed, the ecosystem in question is not likely to return to its previous state. There are many examples and a general consensus that climatic disruptions will drive now stable systems across ecological thresholds..This book provides professional resource managers with a broad general decision framework that illustrates the utility of including ecological threshold concepts in natural resource management. It gives an entry into the literature in this rapidly evolving concept, with descriptions and
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Identifying Objectives and Alternative Actions to Frame a Decision Problem,attention to thresholds. We outline a number of considerations in developing objectives and measurable attributes, including when . may be needed to express the decision-makers’ values. We also discuss the development of a set of alternative actions, and how these might give rise to ., particularly
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Optimization in Natural Resources Conservation,(s) predicting system change and response to potential actions, and monitoring to provide estimates of system status. The final component of an informed decision process is a solution algorithm, providing a means for deciding which potential action to take. Optimization algorithms provide an objecti
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Application of Threshold Concepts to Ecological Management Problems: Occupancy of Golden Eagles in mplified natural resource management case study. We intend our example to provide the reader with the ability to recognize and apply the theoretical concepts of utility, ecological and decision thresholds to management problems through a formalized decision-analytic process. Our case study concerns
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Monitoring for Threshold-Dependent Decisions,ue (e.g., reference vs impaired conditions). In this chapter, we review the literature on monitoring for threshold-dependent decisions and illustrate how uncertainty and prior knowledge about resource condition may affect such decision thresholds. A critical consideration is whether monitoring is li
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Applying Threshold Concepts to Conservation Management of Dryland Ecosystems: Case Studies on the Cm state to state are usually associated with a particular trigger or sequence of triggers, such as the addition or subtraction of a disturbance. Transitions are often not linear, rather it is common to see an abrupt transition come about even though the trigger increases only incrementally; these ar
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Using Natural Range of Variation to Set Decision Thresholds: A Case Study for Great Plains Grasslann or do not exist for attributes of interest in a managed ecosystem. The process for estimating NRV involves identifying spatial and temporal scales that adequately capture the heterogeneity of the ecosystem; compiling data for the attributes of interest via study of historic records, analysis and i
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