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

  1. Silva, Claudio 1
  2. Barbieri, María A. 2
  3. Yáñez, Eleuterio 2
  4. Gutiérrez-Estrada, Juan C. 3
  5. DelValls, Tomás Ángel 1
  1. 1 Universidad de Cádiz
    info

    Universidad de Cádiz

    Cádiz, España

    ROR https://ror.org/04mxxkb11

  2. 2 Pontificia Universidad Católica de Valparaíso
    info

    Pontificia Universidad Católica de Valparaíso

    Valparaíso, Chile

    ROR https://ror.org/02cafbr77

  3. 3 Universidad de Huelva
    info

    Universidad de Huelva

    Huelva, España

    ROR https://ror.org/03a1kt624

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Journal:
Latin American Journal of Aquatic Research

ISSN: 0717-7178,  0716-1069

Year of publication: 2012

Volume: 40

Issue: 4

Pages: 955-969

Type: Article

DOI: 10.3856/VOL40-ISSUE4-FULLTEXT-12 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Latin American Journal of Aquatic Research

Sustainable development goals

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.

Data source: Dialnet