Building an Expert-Judgment-Based Model of Mangrove Fisheries

James Hutchison, David P. Philipp, Julie E. Claussen, Octavio Aburto-Oropeza, Mauricio Carrasquilla-Henao, Gustavo A. Castellanos-Galindo, Matthew T. Costa, Pedram D. Daneshgar, Hans J. Hartmann, Francis Juanes, Muhammed Naeem Khan, Lindy Knowles, Eric Knudsen, Shing Yip Lee, Karen J. Murchie, John Tiedemann, Philine Zu Ermgassen, Mark Spalding

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Mangroves are critically important habitats for fisheries, both for their resident fish, crustacean, and mollusk populations and as nursery grounds for the target species of offshore fisheries. However, the spatial variation in the benefits provided by mangroves to fisheries is poorly understood. Based on expert knowledge of mangrove ecology and fisheries biology, we developed a preliminary model of the spatial distribution of benefits to fisheries from mangroves. The preliminary model covers the environment factors that determine the amount of fish, crustaceans, mollusks, and other fishery target species produced by mangrove areas (termed "potential fish production") and the socioeconomic variables that determine the level of fishing in any given location. The combination of these two outputs gives the predicted catch. Potential fish production is predicted to be highest where there is high freshwater and nutrient input to mangroves, such as in large estuaries. At large seascape scales, total mangrove area is also an important driver. Fishing effort is highest close to human populations, which provide both the fishers and the markets for their catch. The model is qualitative and has not been parameterized with field data and, as such, should only be considered as a first step towards understanding the spatial variation in the benefits that mangroves provide to fisheries.;
Original languageEnglish (US)
Title of host publicationAmerican Fisheries Society Symposium
EditorsKJ Daneshgar Murchie PP
PublisherAmerican Fisheries Society
Number of pages26
ISBN (Print)0892-2284; 978-1-934874-42-4
StatePublished - 2015


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