By Glenn R. Guntenspergen
Natural source managers face a posh decision-making atmosphere characterised through the aptitude incidence of speedy and abrupt ecological swap. those abrupt alterations are poorly accommodated by means of conventional traditional source making plans and decision-making strategies. As popularity of threshold approaches has elevated, modern types of ecological platforms were converted to higher characterize a broader diversity of ecological approach dynamics. Key conceptual advances linked to the tips of non-linear responses, the lifestyles of a number of ecological sturdy states and demanding thresholds are much more likely the guideline than the exception in ecological structures. as soon as an ecological threshold is crossed, the surroundings in query isn't really more likely to go back to its past kingdom. there are numerous examples and a common consensus that climatic disruptions will force now solid structures throughout ecological thresholds.
This publication presents expert source managers with a vast basic choice framework that illustrates the application of together with ecological threshold techniques in typical source administration. It provides an access into the literature during this speedily evolving notion, with descriptions and dialogue of the promising statistical ways for threshold detection and demonstrations of the software of the brink framework through a chain of case experiences.
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Extra resources for Application of Threshold Concepts in Natural Resource Decision Making
Yoccoz, N. , J. D. Nichols, and T. Boulinier. 2001. Monitoring of biological diversity in space and time. Trends in Ecology & Evolution 16:446–453. Chapter 3 Identifying Objectives and Alternative Actions to Frame a Decision Problem Michael C. Runge and Terry Walshe Abstract In this chapter, we discuss the role of objectives and alternative actions in framing a natural resource management decision problem, with particular attention to thresholds. We outline a number of considerations in developing objectives and measurable attributes, including when utility thresholds may be needed to express the decision-makers’ values.
J. Tyre, N. Jonzen, J. R. Rhodes, and H. P. Possingham. 2004. Minimizing the cost of environmental management decisions by optimizing statistical thresholds. Ecology Letters 7:669–675. Fonnesbeck, C. J. 2005. Solving dynamic wildlife resource optimization problems using reinforcement learning. Natural Resource Modeling 18:1–39. , J. Baron, T. Blett, A. Gold, I. Goodman, L. Gunderson, B. Levinson, M. Palmer, H. Paerl, G. Peterson, N. Poff, D. Rejeski, J. Reynolds, M. Turner, K. Weathers, and J. Wiens.
Goodman, L. Gunderson, B. Levinson, M. Palmer, H. Paerl, G. Peterson, N. Poff, D. Rejeski, J. Reynolds, M. Turner, K. Weathers, and J. Wiens. 2006. Ecological thresholds: The key to successful environmental management or an important concept with no practical application? Ecosystems 9:1–13. Gunderson, L. H. 2000. Ecological resilience—in theory and application. Annual Review of Ecology and Systematics 31:425–439. Halpern, B. , H. M. Regan, H. P. Possingham, and M. A. McCarthy. 2006. Accounting for uncertainty in marine reserve design.