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Management Strategy Evaluation
Management strategy evaluation (MSE) in the broad sense involves assessing the consequences of a range of management strategies or options and presenting the results in a way which lays bare the tradeoffs in performance across a range of management objectives. In contrast to some previous approaches to fisheries assessment, it does not seek to proscribe an optimal strategy or decision. Instead it seeks to provide the decision maker with the information on which to base a rational decision, given their own objectives, preferences, and attitudes to risk.
MSE is a simulation technique based on modelling each part of the adaptive management cycle (Figure 1). It was developed more than 20 years ago to consider the implications of alternative management strategies for the robust management of natural resources, such as single fish stocks. Two very useful reviews of the subject are Butterworth and Punt (1999) and Sainsbury et al. (2000).
The method has been used by bodies such as the International Whaling Commission (e.g. IWC 1992, Kirkwood 1997) and Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) (de la Mare 1996) and has been adopted as a standard fisheries tool in a number of countries including: South Africa (Punt and Butterworth 1995, Cochrane et al 1998, Butterworth et al 1998), Europe (Horwood 1994, as of Butterworth and Punt 1999), New Zealand (Starr et al. 1997) and Australia (Punt and Smith 1999).
The strength of the approach is that instead of using a single model to find an optimal solution, multiple candidate models are put forward to evaluate alternate hypotheses. By modelling each step of the formal adaptive-management approach (Walters 1986) the consequences of alternate scenarios can be evaluated across the models. The other core strength of the process is that it is consultative - both managers and stakeholders can have input into the candidate models and management scenarios. As the approach demands clear objectives to do the evaluations against, the method forces participants to be clear about their objectives and to specify performance indicators that are in the context of what people are interested in.
MSEs can be performed qualitatively (Smith et al 2005), but they have typically been done using quantitative (or at least semi-quantitative) simulations that contain sub-models for each of the main steps in the adaptive management cycle. At the core of these simulations is a "system state" model that represents the dynamics of the resource. As the models were initially used to consider single species fisheries management issues the earliest MSE models included single species models (e.g. IWC 1992), or single species with habitat considerations (e.g. Plectropomus leopardus and reef habitat in ELSIM, Mapstone et al. 2004). It was not long however, before they were being applied to multispecies questions (e.g. 3 species hake and seal model used by Punt and Leslie 1995, or the four species and habitat modelled by Sainsbury 1988). More recently ecosystem-based management and multiple use management questions have been addressed using the MSE approach. Atlantis and InVitro are two models developed by staff in the CSIRO Marine and Atmospheric Research Division to consider ecosystem-level management questions using the MSE approach. Ecopath with Ecosim (developed at the Fisheries Centre at the University of British Columbia, Vancouver) has also been used in an ecosystem-level MSE (e.g. the overlap of seals and fisheries off Macquarie Island, Goldsworthy et al. 2001). Quite a wide range of questions can be addressed using these models (Figure 2).
Walters, C.J., 1986. Adaptive Management of Renewable Resources. MacMillan Publishing Co., New York.
Sainsbury, K. J. (1988). The ecological basis of multispecies fisheries, and management of a demersal fishery in tropical Australia. In: Gulland, J. A. (Ed.), Fish population dynamics, (2nd ed.), Chapter 14, pp.349-82, John Wiley & Sons Ltd.
IWC 1992. Report of the Scientific Committee, Annex D. Report of the Sub-Committee on Management Procedures. Reports of the International Whaling Commission, 42: 87–136.
Smith, A.D.M. (1994) Management strategy evaluation - the light on the hill. Pp 249-253 in D.A. Hancock (Ed.) Population Dynamics for Fisheries Management. Australian Society for Fish Biology Workshop Proceedings, Perth, 24-25 August 1993. Australian Society for Fish Biology, Perth.
Punt and Butterworth 1995: Punt, A.E. and D.S. Butterworth. 1995. The effects of future consumption by the Cape fur seal on catches and catch rates of the Cape hakes. 4. Modelling the biological interaction between Cape fur seals Arctocephalus pusillus pusillus and Cape hakes Merluccius capensis and M. paradoxus. S. Afr. J. mar. Sci. 16: 255-285.
de la Mare, W. K. 1996. Some recent developments in the management of marine living resources. In Frontiers of Population Ecology, pp. 599–616. Ed. by R. B. Floyd, A. W. Shepherd, and P. J. De Barro. CSIRO Publishing, Melbourne, Australia.
Kirkwood, G. P. 1997. The Revised Management Procedure of the International Whaling Commission. In Global trends: fisheries management, pp. 41–99. Ed. by E. K. Pikitch, D. D. Huppert, and M. P. Sissenwine. American Fisheries Society Symposium, 20, Bethesda, Maryland.
Starr, P. J., Breen, P. A., Hilborn, R. H., and Kendrick, T. H. 1997. Evaluation of a management decision rule for a New Zealand rock lobster substock. Marine and Freshwater Research, 48: 1093–1101.
Butterworth, D. S., Cowan, C. L., and Johnston, S. J. 1998. The development of a management procedure for Namibian seals. Report to the Ministry of Fisheries and Marine Resources, Namibia. 47 pp.
Cochrane, K. L., Butterworth, D. S., De Oliveria, J. A. A., and Roel, B. A. 1998. Management procedures in a fishery based on highly variable stocks and with conflicting objectives: experiences in the South African pelagic fishery. Reviews in Fish Biology and Fisheries, 8: 177–214.
Butterworth, D.S., and Punt, A.E. 1999. Experiences in the evaluation and implementation of management procedures. ICES Journal of Marine Science, 56: 985–998.
Punt, A. E., and Smith, A. D. M. 1999. Harvest strategy evaluation for the eastern gemfish (Rexea solandri). ICES Journal of Marine Science, 56: 860–875.
Sainsbury, K.J., Punt, A.E. and Smith, A.D.M. 2000. Design of operational management strategies for achieving fishery ecosystem objectives. ICES Journal of Marine Science, 57: 731–741
Goldsworthy, S.D., He, X., Tuck, G.N. Lewis, M. and Williams, R. 2001. Trophic interactions between the Patagonian toothfish, its fishery, and seals and seabirds around Macquarie Island. Marine Ecology Progress Series, 218: 283-302.
Mapstone B.D., Davies C.R., Little L.R., Punt A.E., Smith A.D.M, Pantus F., Lou D.C., Williams A.J., Jones A., Ayling A.M., Russ G.R., and McDonald A.D. 2004. The Effects of Line Fishing on the Great Barrier Reef and Evaluations of Alternative Potential Management Strategies. CRC Reef Research Centre Technical Report No 52. CRC Reef Research Centre, Townsville, Australia.
Jones, G, 2005, Is the management plan achieving its objectives? pp555-557 In Worboys, G, Lockwood, M, & De Lacy, T, Protected Area Management. Principles and Practice. Second edition. Oxford University Press. Available online at http://www.parks.tas.gov.au/index.aspx?base=7679
Jones, G, 2005, 'Is the management plan achieving its objectives?'
Jones, G, 2009, 'The adaptive management system for the Tasmanian
Last updated: 21/03/13