GIS-Based Multi-Criteria Evaluation (MCE) Methods for Aquaculture Site Selection: A Systematic Review and Meta-Analysis

With the growing demand for aquatic products, aquaculture has become a prominent means of meeting this demand. However, the selection of suitable sites for aquaculture remains a key factor in the success of any aquaculture operation. While various methods exist for site selection, geographic informa...

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Main Authors: Sanae Chentouf, Boutaina Sebbah, El Houssine Bahousse, Miriam Wahbi, Mustapha Maâtouk
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/12/10/439
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author Sanae Chentouf
Boutaina Sebbah
El Houssine Bahousse
Miriam Wahbi
Mustapha Maâtouk
author_facet Sanae Chentouf
Boutaina Sebbah
El Houssine Bahousse
Miriam Wahbi
Mustapha Maâtouk
author_sort Sanae Chentouf
collection DOAJ
description With the growing demand for aquatic products, aquaculture has become a prominent means of meeting this demand. However, the selection of suitable sites for aquaculture remains a key factor in the success of any aquaculture operation. While various methods exist for site selection, geographic information system (GIS)-based multi-criteria evaluation (MCE) methods have emerged as the most widely utilized approach to identifying potential aquaculture sites. Following the guidelines of the preferred reporting items for systematic reviews and meta-analyses (PRISMA), this paper presents a systematic review and meta-analysis of GIS-based MCE methods used in aquaculture sites selection. The objective of this study is to offer a comprehensive overview of existing research in this field and develop a general model for selecting sites for fish and shellfish aquaculture. The main findings indicate a growing number of studies utilizing GIS-based MCE in aquaculture site selection in recent years, with Asia being the leading continent in terms of publications in this domain. Among the journals publishing in this field, the <i>Aquaculture</i> journal stands out as the top publisher. Using consistent criteria across the reviewed studies, two models have been generated, each consisting of four sub-models: water quality, soil quality, infrastructure, and socioeconomic factors; and topography, environment, and physical parameters. These models can aid future researchers and assist decision-makers in identifying optimal locations for aquaculture development.
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spelling doaj.art-5a79cc2dcd624c70aab5fcd72fbaf6dc2023-11-16T10:30:41ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-10-01121043910.3390/ijgi12100439GIS-Based Multi-Criteria Evaluation (MCE) Methods for Aquaculture Site Selection: A Systematic Review and Meta-AnalysisSanae Chentouf0Boutaina Sebbah1El Houssine Bahousse2Miriam Wahbi3Mustapha Maâtouk4Geomatic, Remote Sensing and Cartography Research Group (GéoTéCa), FSTT, Abdelmalek Essaadi University, Tetuan 93000, MoroccoGeomatic, Remote Sensing and Cartography Research Group (GéoTéCa), FSTT, Abdelmalek Essaadi University, Tetuan 93000, MoroccoRegional Inspectorate of Urbanism, Architecture and Territory Development RTTA, Tangier 90060, MoroccoGeomatic, Remote Sensing and Cartography Research Group (GéoTéCa), FSTT, Abdelmalek Essaadi University, Tetuan 93000, MoroccoGeomatic, Remote Sensing and Cartography Research Group (GéoTéCa), FSTT, Abdelmalek Essaadi University, Tetuan 93000, MoroccoWith the growing demand for aquatic products, aquaculture has become a prominent means of meeting this demand. However, the selection of suitable sites for aquaculture remains a key factor in the success of any aquaculture operation. While various methods exist for site selection, geographic information system (GIS)-based multi-criteria evaluation (MCE) methods have emerged as the most widely utilized approach to identifying potential aquaculture sites. Following the guidelines of the preferred reporting items for systematic reviews and meta-analyses (PRISMA), this paper presents a systematic review and meta-analysis of GIS-based MCE methods used in aquaculture sites selection. The objective of this study is to offer a comprehensive overview of existing research in this field and develop a general model for selecting sites for fish and shellfish aquaculture. The main findings indicate a growing number of studies utilizing GIS-based MCE in aquaculture site selection in recent years, with Asia being the leading continent in terms of publications in this domain. Among the journals publishing in this field, the <i>Aquaculture</i> journal stands out as the top publisher. Using consistent criteria across the reviewed studies, two models have been generated, each consisting of four sub-models: water quality, soil quality, infrastructure, and socioeconomic factors; and topography, environment, and physical parameters. These models can aid future researchers and assist decision-makers in identifying optimal locations for aquaculture development.https://www.mdpi.com/2220-9964/12/10/439aquacultureGIS-based MCEPRISMA
spellingShingle Sanae Chentouf
Boutaina Sebbah
El Houssine Bahousse
Miriam Wahbi
Mustapha Maâtouk
GIS-Based Multi-Criteria Evaluation (MCE) Methods for Aquaculture Site Selection: A Systematic Review and Meta-Analysis
ISPRS International Journal of Geo-Information
aquaculture
GIS-based MCE
PRISMA
title GIS-Based Multi-Criteria Evaluation (MCE) Methods for Aquaculture Site Selection: A Systematic Review and Meta-Analysis
title_full GIS-Based Multi-Criteria Evaluation (MCE) Methods for Aquaculture Site Selection: A Systematic Review and Meta-Analysis
title_fullStr GIS-Based Multi-Criteria Evaluation (MCE) Methods for Aquaculture Site Selection: A Systematic Review and Meta-Analysis
title_full_unstemmed GIS-Based Multi-Criteria Evaluation (MCE) Methods for Aquaculture Site Selection: A Systematic Review and Meta-Analysis
title_short GIS-Based Multi-Criteria Evaluation (MCE) Methods for Aquaculture Site Selection: A Systematic Review and Meta-Analysis
title_sort gis based multi criteria evaluation mce methods for aquaculture site selection a systematic review and meta analysis
topic aquaculture
GIS-based MCE
PRISMA
url https://www.mdpi.com/2220-9964/12/10/439
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