Integrated GIS and AHP for Marine Aquaculture Site Selection in Penghu Cove in Taiwan

Abstract

Journal of Coastal Zone Management AbstractMarine cage culture has been developed quickly in recent years from land-based operation transfer to marine cage culture by government policy in Taiwan. Therefore, the suitable site selection is an important premised and key factor for successful marine cage culture and sustainable development in the future. Especially, it's greatly influences economic viability by determining capital outlay and affecting running costs, production and mortality. Hence, the decision factors such as climate factors, geographic environmental factors, bio-environmental factors and social-economic factors are more important for site selection. This study use AHP (analytic hierarchy process) to evaluate the criteria weight for site selection. From AHP analysis, the weights of suitability of the four Geographic Information System (GIS) grid themes were 0.322, 0.410, 0.127 and 0.141, respectively. The result shows that the geographic environmental factors are the most important factors in selection suitable marine culture sits in Penghu cove in Taiwan. At the meanwhile, by using ArcMap, a GIS software package, a suitable map was made based on the selected grid themes. The suitable sites for marine cage culture development identified on the individual GIS grid themes, the GIS software and AHP method can be integrated to select objectively the optimal sites for marine cage culture development.

Evaluating a Suitable Aquaculture Site Selection Model for Cobia (Rachycentron canadum) during Extreme Events in the Inner Bay of the Penghu Islands, Taiwan

“…The ebb and flood tides were considerably larger around the northwestern and southern PHI (grids 45-47), indicating that the water mass changed quickly in a short time. However, in the coastal area of the inner bay (grids 19, 25, and 40), the variation of the ebb and flood tides was smaller, indicating that the ocean conditions changed less rapidly [45]. Furthermore, the areas identified in this study had considerably fewer cold-water InDs, which indicated that they were suitable locations for cobia cage culture.…”

Site selection for fish farming using integrated GIS-spatial multi-criteria evaluation and carrying capacity approaches: case study of M'diq bay, Morocco

“…An integrated approach based on spatial multi-criteria evaluation (SMCE) was adopted using analytic hierarchy process (AHP) and weighted linear combination (WLC) to select suitable polygons for fish farming (Pérez et al, 2003;Pérez et al, 2005;Dapueto et al, 2015;Aguilar-Manjarrez, et al, 2017;Shih, 2017). Then, the carrying capacity concept was used to determine the most suitable fish farm number.…”

“…A list of required factors, commonly used in marine fish farming site selection, have been established (Pérez et al, 2003;Pérez et al, 2005;Szuster & Hatim., 2010;Dapueto et al, 2015;Micael et al, 2015;Aguilar-Manjarrez, et al, 2017;Shih, 2017;Gimpel et al, 2018) in addition to the national technical documents implemented for aquaculture planning. Then, significant factors were selected according to their suitability to cage culture, mainly related to the three target fish species (seabass, seabream and common meagre) in M'diq bay according to local conditions, and in compliance with national legislation and local rules in force.…”

Identifying suitable zones for Kappaphycus alvarezii (Doty) L.M.Liao farming in a densely developed portion of the South Atlantic

“…Peer judgment -a comparison method of the analytic hierarchy process -is a practical and useful method to assist decision making that ensures consistency across all of the options considered. It involves ranking the attributes against each other to assess their relative importance; that technique has been used in recent decades in many applications related to multi-criteria decision making (Shih 2017). The use of questionnaire can synthesize the views of different people who have different roles and perform different activities at several levels (e.g., policy makers, government planners, scientists, farmers, private industry representatives, and local authorities).…”