Using indicators and models for an ecosystem approach to fisheries and aquaculture management: the anchovy fishery and Pacific oyster culture in Chile: case studies
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 site...
Guardado en:
Autores principales: | , , , , |
---|---|
Lenguaje: | English |
Publicado: |
Pontificia Universidad Católica de Valparaíso. Facultad de Recursos Naturales. Escuela de Ciencias del Mar
2012
|
Materias: | |
Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-560X2012000400012 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:scielo:S0718-560X2012000400012 |
---|---|
record_format |
dspace |
spelling |
oai:scielo:S0718-560X20120004000122013-04-12Using indicators and models for an ecosystem approach to fisheries and aquaculture management: the anchovy fishery and Pacific oyster culture in Chile: case studiesSilva,ClaudioBarbieri,María AYánez,EleuterioGutiérrez-Estrada,Juan CDelValls,Tomás Ángel ecosystem approach fisheries aquaculture GIS PFG model artificial neural network carrying capacity 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.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Valparaíso. Facultad de Recursos Naturales. Escuela de Ciencias del MarLatin american journal of aquatic research v.40 n.4 20122012-11-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-560X2012000400012en103856/vol40-issue4-fulltext-12 |
institution |
Scielo Chile |
collection |
Scielo Chile |
language |
English |
topic |
ecosystem approach fisheries aquaculture GIS PFG model artificial neural network carrying capacity |
spellingShingle |
ecosystem approach fisheries aquaculture GIS PFG model artificial neural network carrying capacity Silva,Claudio Barbieri,María A Yánez,Eleuterio Gutiérrez-Estrada,Juan C DelValls,Tomás Ángel Using indicators and models for an ecosystem approach to fisheries and aquaculture management: the anchovy fishery and Pacific oyster culture in Chile: case studies |
description |
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. |
author |
Silva,Claudio Barbieri,María A Yánez,Eleuterio Gutiérrez-Estrada,Juan C DelValls,Tomás Ángel |
author_facet |
Silva,Claudio Barbieri,María A Yánez,Eleuterio Gutiérrez-Estrada,Juan C DelValls,Tomás Ángel |
author_sort |
Silva,Claudio |
title |
Using indicators and models for an ecosystem approach to fisheries and aquaculture management: the anchovy fishery and Pacific oyster culture in Chile: case studies |
title_short |
Using indicators and models for an ecosystem approach to fisheries and aquaculture management: the anchovy fishery and Pacific oyster culture in Chile: case studies |
title_full |
Using indicators and models for an ecosystem approach to fisheries and aquaculture management: the anchovy fishery and Pacific oyster culture in Chile: case studies |
title_fullStr |
Using indicators and models for an ecosystem approach to fisheries and aquaculture management: the anchovy fishery and Pacific oyster culture in Chile: case studies |
title_full_unstemmed |
Using indicators and models for an ecosystem approach to fisheries and aquaculture management: the anchovy fishery and Pacific oyster culture in Chile: case studies |
title_sort |
using indicators and models for an ecosystem approach to fisheries and aquaculture management: the anchovy fishery and pacific oyster culture in chile: case studies |
publisher |
Pontificia Universidad Católica de Valparaíso. Facultad de Recursos Naturales. Escuela de Ciencias del Mar |
publishDate |
2012 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-560X2012000400012 |
work_keys_str_mv |
AT silvaclaudio usingindicatorsandmodelsforanecosystemapproachtofisheriesandaquaculturemanagementtheanchovyfisheryandpacificoystercultureinchilecasestudies AT barbierimariaa usingindicatorsandmodelsforanecosystemapproachtofisheriesandaquaculturemanagementtheanchovyfisheryandpacificoystercultureinchilecasestudies AT yanezeleuterio usingindicatorsandmodelsforanecosystemapproachtofisheriesandaquaculturemanagementtheanchovyfisheryandpacificoystercultureinchilecasestudies AT gutierrezestradajuanc usingindicatorsandmodelsforanecosystemapproachtofisheriesandaquaculturemanagementtheanchovyfisheryandpacificoystercultureinchilecasestudies AT delvallstomasangel usingindicatorsandmodelsforanecosystemapproachtofisheriesandaquaculturemanagementtheanchovyfisheryandpacificoystercultureinchilecasestudies |
_version_ |
1714205100645285888 |