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Catastrophic thresholds: a synthesis of concepts, perspectives, and applications

Citation

Briske, DD and Washington-Allen, RA and Johnson, CR and Lockwood, JA and Lockwood, DR and Stringham, TK and Shugart, HH, Catastrophic thresholds: a synthesis of concepts, perspectives, and applications, Ecology and Society, 15, (3) EJ ISSN 1708-3087 (2010) [Refereed Article]


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Copyright Statement

Copyright 2010 by the author(s). Published here under license by the Resilience Alliance

Official URL: http://www.ecologyandsociety.org/vol15/iss3/art37/

Abstract

Research reported in this feature identifies a convergence of interpretations regarding the threshold dynamics of complex ecological systems. This convergence has arisen from a diverse set of investigations addressing rangeland ecosystem dynamics, disease transmission, and fluctuations in the populations of insect pests. Effective application of the threshold concept to ecosystem management will require development of more robust linkages between non-equilibrium theory and protocols to identify triggers that initiate threshold conditions, feedback loops that establish system resilience, and developmental trajectories and attributes of potential alternative stable states. Successful implementation of these theory/ application linkages has the potential to underpin an operational framework of resilience-based ecosystem management that is founded upon the identification of structural indicators that are correlated with vulnerability or proximity to thresholds, rather than threshold identification per se. Several investigations indicate that thresholds are strongly influenced by scale; multiple cross-scale interactions demonstrate the need for greater knowledge and analyses to address scale-dependent processes, i.e., critical scales and scaling laws. This feature emphasizes the relevance of thresholds and non-equilibrium dynamics in multiple natural resource management applications and in so doing demonstrates the need for a more comprehensive and integrated ecological framework capable of quantitatively assessing dynamics at multiple s

Item Details

Item Type:Refereed Article
Keywords:complexity science, ecological resilience, non-equilibrium ecology, self-organized systems,
Research Division:Biological Sciences
Research Group:Biochemistry and Cell Biology
Research Field:Structural Biology (incl. Macromolecular Modelling)
Objective Division:Environment
Objective Group:Ecosystem Assessment and Management
Objective Field:Ecosystem Assessment and Management not elsewhere classified
Author:Johnson, CR (Professor Craig Johnson)
ID Code:65930
Year Published:2010
Web of Science® Times Cited:24
Deposited By:Zoology
Deposited On:2010-12-09
Last Modified:2014-11-24
Downloads:461 View Download Statistics

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