Improving social acceptability of marine protected area networks: A method for estimating opportunity costs to multiple gear types in both fished and currently unfished areas

Adams, Vanessa M., Mills, Morena, Jupiter, Stacy D. and Pressey, Robert L. (2011) Improving social acceptability of marine protected area networks: A method for estimating opportunity costs to multiple gear types in both fished and currently unfished areas. Biological Conservation, 144 1: 350-361. doi:10.1016/j.biocon.2010.09.012


Author Adams, Vanessa M.
Mills, Morena
Jupiter, Stacy D.
Pressey, Robert L.
Title Improving social acceptability of marine protected area networks: A method for estimating opportunity costs to multiple gear types in both fished and currently unfished areas
Journal name Biological Conservation   Check publisher's open access policy
ISSN 0006-3207
1873-2917
Publication date 2011-01
Year available 2011
Sub-type Article (original research)
DOI 10.1016/j.biocon.2010.09.012
Open Access Status
Volume 144
Issue 1
Start page 350
End page 361
Total pages 12
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Language eng
Formatted abstract
We present a novel method for calculating the opportunity costs to fishers from their displacement by the establishment of marine protected areas (MPAs). We used a fishing community in Kubulau District, Fiji to demonstrate this method. We modelled opportunity costs as a function of food fish abundance and probability of catch, based on gear type and market value of species. Count models (including Poisson, negative binomial and two zero-inflated models) were used to predict spatial abundance of preferred target fish species and were validated against field surveys. A profit model was used to investigate the effect of restricted access to transport on costs to fishers. Spatial distributions of fish within the three most frequently sighted food fish families (Acanthuridae, Lutjanidae, Scaridae) varied, with greatest densities of Lutjanidae and Acanthuridae on barrier forereefs and greatest densities of Scaridae on submerged reefs. Modelled opportunity cost indicated that highest costs to fishers arise from restricting access to the barrier forereefs. We included our opportunity cost model in Marxan, a decision support tool used for MPA design, to examine potential MPA configurations for Kubulau District, Fiji Islands. We identified optimum areas for protection in Kubulau with: (a) the current MPA network locked in place; and (b) a clean-slate approach. Our method of modelling opportunity cost gives an unbiased estimate for multiple gear types in a marine environment and can be applied to other regions using existing species data.
Keyword Opportunity costs
Conservation planning
Marine protected areas (MPAs)
Fish abundance modelling
Zero-inflated count models
Socioeconomic Data
Reef Fisheries
Fishing Effort
Resource-Management
Artisanal Fishers
Reserve Design
Conservation
Islands
Yield
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Global Change Institute Publications
 
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