Login | Request Account (DAF staff only)

Optimising harvest strategies over multiple objectives and stakeholder preferences

View Altmetrics

Dowling, N. A., Dichmont, C. M., Leigh, G. M., Pascoe, S., Pears, R. J., Roberts, T., Breen, S., Cannard, T., Mamula, A. and Mangel, M. (2020) Optimising harvest strategies over multiple objectives and stakeholder preferences. Ecological Modelling, 435 . p. 109243. ISSN 0304-3800

PDF (Version of Record: https://www.sciencedirect.com/science/article/pii/S0304380020303136 Manuscript_4703371cef316f1386340f8c848cbf44)

Article Link: https://doi.org/10.1016/j.ecolmodel.2020.109243

Publisher URL: http://www.sciencedirect.com/science/article/pii/S0304380020303136


Natural resource management has long recognised that the multi-objective nature of management is important, but has struggled to operationalise this into quantitative, measurable objectives for functional use in management. Operationalising broader ecological and social objectives has been particularly problematic. In fisheries management, the focus has mainly been on target species sustainability and, in the past few decades, on profitability. However, multi-objective management is now essential as fisheries have become recognised as complex social-ecological-systems. Policy and legislation demand a move towards quantitative approaches for reconciling multiple objectives and operationalising these within harvest strategies. We present a quantitative, non-commensurable-unit approach, via a multi-indicator value function with explicit objective preference weights. We use a simulation to set Total Allowable Catches (TACs) for three main species groups in a reef line fishery in Australia's Great Barrier Reef. Our method enables stakeholders to consider a richer range of tradeoffs than is possible with bio-economic models. Moreover, it allows the formal evaluation of performance across alternative stakeholder group preferences, providing an impartial way to obtain an overall optimum TAC. The simulation requires extensive fishery data and requires the performance indicators associated with each objective to be quantitatively and defensibly defined. Thus, our approach provides a pathway forward that forces managers and stakeholders to confront the associated data requirements.

Item Type:Article
Business groups:Fisheries Queensland
Keywords:Triple bottom line Harvest strategy development Reef line fishery Stakeholder preference weightings Multi-objective trade-offs Simulation
Subjects:Aquaculture and Fisheries > Fisheries > Fishery conservation
Aquaculture and Fisheries > Fisheries > Fishery management. Fishery policy
Aquaculture and Fisheries > Fisheries > Fishery research
Live Archive:14 Sep 2020 03:28
Last Modified:29 Sep 2023 00:45

Repository Staff Only: item control page


Downloads per month over past year

View more statistics