GIS-based site selection and dynamic modelling of Magallana oyster in the Sado Estuary, Portugal

A case study was developed to assess the viability of Portuguese oyster (Magallana angulata) and Pacific oyster (Magallana gigas) aquaculture in the Sado Estuary, Portugal. It applies an integrative methodology for site selection of shellfish aquaculture, complemented with a farm-scale carrying capa...

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Bibliographic Details
Main Author: Gomes, Diogo Filipe Prata
Other Authors: Ferreira, João
Format: Master Thesis
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10362/71028
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record_format openpolar
spelling ftnewulisboa:oai:run.unl.pt:10362/71028 2023-05-15T17:54:17+02:00 GIS-based site selection and dynamic modelling of Magallana oyster in the Sado Estuary, Portugal Gomes, Diogo Filipe Prata Ferreira, João 2019 http://hdl.handle.net/10362/71028 eng eng http://hdl.handle.net/10362/71028 openAccess Aquaculture Geographic Information Systems Multi-Criteria Evaluation Site selection Pacific oyster Portuguese oyster Domínio/Área Científica::Engenharia e Tecnologia::Engenharia do Ambiente masterThesis 2019 ftnewulisboa 2022-05-01T14:09:08Z A case study was developed to assess the viability of Portuguese oyster (Magallana angulata) and Pacific oyster (Magallana gigas) aquaculture in the Sado Estuary, Portugal. It applies an integrative methodology for site selection of shellfish aquaculture, complemented with a farm-scale carrying capacity model to evaluate production, environmental effects and socio-economic outputs. The site selection methodology uses a Multi Criteria-Evaluation (MCE) through Geographic Information Systems (GIS) software. When combined, both tools generate a holistic overview of aquaculture opportunities to support strategic planning decisions. The used MCE in this study, considers suitability factors based on water quality and food sources, as well as subsequent factors describing socio-economic and product quality suitability. Combining these to the regulatory and spatial constraints in the study area, a final site selection map was generated, screening out suitable areas for aquaculture. The dynamic model, FARM – Farm Aquaculture Resource Management, was later applied to the identified suitable areas for aquaculture practice, where the production and environmental effects of two different locations were estimated and compared at a farm-scale level. This methodology illustrates how GIS-based models may be used in conjunction with farm-scale carrying capacity models to assist decision-makers in developing a sustainable approach to aquaculture. Master Thesis Pacific oyster Repositório da Universidade Nova de Lisboa (UNL) Pacific
institution Open Polar
collection Repositório da Universidade Nova de Lisboa (UNL)
op_collection_id ftnewulisboa
language English
topic Aquaculture
Geographic Information Systems
Multi-Criteria Evaluation
Site selection
Pacific oyster
Portuguese oyster
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia do Ambiente
spellingShingle Aquaculture
Geographic Information Systems
Multi-Criteria Evaluation
Site selection
Pacific oyster
Portuguese oyster
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia do Ambiente
Gomes, Diogo Filipe Prata
GIS-based site selection and dynamic modelling of Magallana oyster in the Sado Estuary, Portugal
topic_facet Aquaculture
Geographic Information Systems
Multi-Criteria Evaluation
Site selection
Pacific oyster
Portuguese oyster
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia do Ambiente
description A case study was developed to assess the viability of Portuguese oyster (Magallana angulata) and Pacific oyster (Magallana gigas) aquaculture in the Sado Estuary, Portugal. It applies an integrative methodology for site selection of shellfish aquaculture, complemented with a farm-scale carrying capacity model to evaluate production, environmental effects and socio-economic outputs. The site selection methodology uses a Multi Criteria-Evaluation (MCE) through Geographic Information Systems (GIS) software. When combined, both tools generate a holistic overview of aquaculture opportunities to support strategic planning decisions. The used MCE in this study, considers suitability factors based on water quality and food sources, as well as subsequent factors describing socio-economic and product quality suitability. Combining these to the regulatory and spatial constraints in the study area, a final site selection map was generated, screening out suitable areas for aquaculture. The dynamic model, FARM – Farm Aquaculture Resource Management, was later applied to the identified suitable areas for aquaculture practice, where the production and environmental effects of two different locations were estimated and compared at a farm-scale level. This methodology illustrates how GIS-based models may be used in conjunction with farm-scale carrying capacity models to assist decision-makers in developing a sustainable approach to aquaculture.
author2 Ferreira, João
format Master Thesis
author Gomes, Diogo Filipe Prata
author_facet Gomes, Diogo Filipe Prata
author_sort Gomes, Diogo Filipe Prata
title GIS-based site selection and dynamic modelling of Magallana oyster in the Sado Estuary, Portugal
title_short GIS-based site selection and dynamic modelling of Magallana oyster in the Sado Estuary, Portugal
title_full GIS-based site selection and dynamic modelling of Magallana oyster in the Sado Estuary, Portugal
title_fullStr GIS-based site selection and dynamic modelling of Magallana oyster in the Sado Estuary, Portugal
title_full_unstemmed GIS-based site selection and dynamic modelling of Magallana oyster in the Sado Estuary, Portugal
title_sort gis-based site selection and dynamic modelling of magallana oyster in the sado estuary, portugal
publishDate 2019
url http://hdl.handle.net/10362/71028
geographic Pacific
geographic_facet Pacific
genre Pacific oyster
genre_facet Pacific oyster
op_relation http://hdl.handle.net/10362/71028
op_rights openAccess
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