Integration of Indicator Alarm Signals for Ecosystem‐Based Fishery Management

We consider the problem of regulating the rate of harvesting a natural resource, taking account of the wider system represented by a set of ecological and economic indicators, given differing stakeholder priorities. This requires objective and transparent decision making to show how indicators impinge on the resulting regulation decision. We offer a new scheme for combining indicators, derived from assessing the suitability of lowering versus not lowering the harvest rate based on indicator values relative to their predefined reference levels. Using the practical example of fisheries management under an “ecosystem approach,” we demonstrate how different stakeholder views can be quantitatively represented by weighting sets applied to these comparisons. Using the scheme in an analysis of historical data from the Celtic Sea fisheries, we find great scope for negotiating agreement among disparate stakeholders.

[1]  Ravi Prabhu,et al.  Assessing the Performance of Natural Resource Systems , 2002 .

[2]  Eli P. Fenichel,et al.  Normative considerations for recreational fishery management: a bioeconomic framework for linking positive science and normative fisheries policy decisions , 2013 .

[3]  Gerjan J. Piet,et al.  Evaluating potential indicators for an ecosystem approach to fishery management in European waters , 2008 .

[4]  S. Redpath,et al.  Use of Multicriteria Decision Analysis to Address Conservation Conflicts , 2013, Conservation biology : the journal of the Society for Conservation Biology.

[5]  S. Kraak,et al.  Identifying functional stakeholder clusters to maximise communication for the ecosystem approach to fisheries management , 2013 .

[6]  L. Anderson Fisheries management : 2. the ecosystem approach to fisheries : 2.2 the human dimensions of the ecosystem approach to fisheries , 2009 .

[7]  H. Vacik,et al.  Mapping indicator models: From intuitive problem structuring to quantified decision-making in sustainable forest management , 2011 .

[8]  C. Metz Basic principles of ROC analysis. , 1978, Seminars in nuclear medicine.

[9]  M. Imhoff,et al.  Alarm Algorithms in Critical Care Monitoring , 2006, Anesthesia and analgesia.

[10]  David C. Smith,et al.  Scientific tools to support the practical implementation of ecosystem-based fisheries management , 2007 .

[11]  Sarah Gaichas,et al.  Dealing with uncertainty in ecosystem models: The paradox of use for living marine resource management , 2012 .

[12]  J. Rice,et al.  Do explicit criteria help in selecting indicators for ecosystem-based fisheries management? , 2005 .

[13]  P. Pepin Fisheries Ecology and Management , 2005 .

[14]  L. Goldman,et al.  Environmental Health Indicators , 2004 .

[15]  J. Rice,et al.  A framework for selecting a suite of indicators for fisheries management , 2005 .

[16]  S. Mackinson,et al.  Engaging stakeholders in fisheries and marine research , 2011 .

[17]  Axel G. Rossberg,et al.  Assessing the sensitivity and specificity of fish community indicators to management action , 2012 .

[18]  G. J. Piet,et al.  Performance of precautionary reference points in providing management advice on North Sea fish stocks , 2004 .

[19]  Vasiliki S. Karpouzi,et al.  Aggregate performance in managing marine ecosystems of 53 maritime countries , 2010 .

[20]  J. Andersen,et al.  Multiple objectives and perceptions of optimal management: The Danish industrial fishery in the North Sea , 2007 .

[21]  Paolo Accadia,et al.  A bio-economic indicators suite for the appraisal of the demersal trawl fishery in the Southern Adriatic Sea (Central Mediterranean) , 2008 .

[22]  James P. Egan,et al.  Signal detection theory and ROC analysis , 1975 .

[23]  PingSun Leung,et al.  Conflicting goals in fisheries management—A study of the Norwegian cod fisheries , 2014 .

[24]  Kjetil Søreide,et al.  Receiver-operating characteristic curve analysis in diagnostic, prognostic and predictive biomarker research , 2008, Journal of Clinical Pathology.

[25]  Alan Hastings,et al.  Optimizing for multiple species and multiple values: tradeoffs inherent in ecosystem‐based fisheries management , 2011 .