Using indicators and models for an ecosystem approach to fisheries and aquaculture management: The anchovy fishery and Pacific oyster culture in Chile: Case studies

Translated title of the contribution: Using indicators and models for an ecosystem approach to fisheries and aquaculture management: The anchovy fishery and Pacific oyster culture in Chile: Case studies

Claudio Silva, María A. Barbieri, Eleuterio Yáñez, Juan C. Gutiérrez-Estrada, Tomás Ángel Del Valls

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This study illustrate the use of indicators and models to support the Ecosystem Approach to Fisheries and Aquaculture management using two case studies in Chile: prediction of environmental variability effects upon anchovy (Engraulis ringens) fishery of northern Chile and prediction of suitable sites and carrying capacity of Pacific oyster (Crassostrea gigas) culture using FARM and geographic information system (GIS) models in the Valdivia estuary. A three stage approach was applied: Stage 1 considers spatiotemporal ecosystem indicators (fisheries, aquaculture, environmental, and regulatory), Stage 2 uses statistical relationships between indicators, GIS, and other simulation models (e.g., artificial neural networks and FARM) of environment-resources interaction, and Stage 3 is the analysis and validation of models outputs. The methodology illustrates how indicators and models may be used to assist decision-makers in developing an ecosystem approach to fisheries and aquaculture. The application of these approaches provides an integrative methodology for abundance prediction of anchovy and site selection for shellfish aquaculture, despite limitations in the available data.

Translated title of the contributionUsing indicators and models for an ecosystem approach to fisheries and aquaculture management: The anchovy fishery and Pacific oyster culture in Chile: Case studies
Original languageEnglish
Pages (from-to)955-969
Number of pages15
JournalLatin American Journal of Aquatic Research
Volume40
Issue number4
DOIs
StatePublished - Nov 2012

Keywords

  • Aquaculture
  • Artificial neural network
  • Carrying capacity
  • Ecosystem approach
  • Fisheries
  • GIS
  • PFG model

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