Convergence of fishers' knowledge with a species distribution model in a Peruvian shark fishery

Julia G. Mason, Joanna Alfaro-Shigueto, Jeffrey C. Mangel, Stephanie Brodie, Steven J. Bograd, Larry B. Crowder, Elliott L. Hazen

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Limited data on the spatial, environmental, and human dimensions of small-scale fisheries hinder conservation planning, so the incorporation of fishers' local ecological knowledge may be a valuable way to fill data gaps while legitimizing management decisions. In Peru, vulnerable and poorly assessed juvenile smooth hammerhead sharks (Sphyrna zygaena) are the most commonly caught shark species in a small-scale drift gillnet fishery. We conducted semistructured interviews with 87 hammerhead fishers in three major Peruvian ports to elucidate the spatiotemporal niche of the hammerhead fishery and environmental drivers of juvenile hammerhead catch. We also built a biophysical model of hammerhead distribution that correlated remotely sensed environmental variables with a spatially explicit fishery observer dataset. Overall, we found a consensus between fishers' knowledge and species distribution modeling. Sea surface temperature and chlorophyll-a emerged as important environmental drivers of juvenile hammerhead catch, with both fishers' knowledge and the biophysical model identifying similar habitat preferences (~20–23oC and log chl-a >−1.6 mg/m3). Participatory mapping of fishing grounds also corresponded to the spatiotemporal patterns of predicted hammerhead distribution. This study points to the utility of combining fishers' knowledge and biophysical modeling for spatial, temporal, and/or dynamic management of these sharks in Peru and in other data-poor fisheries globally.

Original languageEnglish
Article numbere13
JournalConservation Science and Practice
Volume1
Issue number4
DOIs
StatePublished - Apr 2019

Keywords

  • Sphyrna zygaena
  • conservation planning
  • epistemological pluralism
  • generalized additive model
  • juvenile shark habitat
  • local ecological knowledge
  • small-scale fisheries

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