|Biophysical models for Japanese scallop, Mizuhopecten yessoensis, aquaculture site selection in Funka Bay, Hokkaido, Japan, using remotely sensed data and geographic information system|Radiarta, I.N.; Saitoh, S. (2009). Biophysical models for Japanese scallop, Mizuhopecten yessoensis, aquaculture site selection in Funka Bay, Hokkaido, Japan, using remotely sensed data and geographic information system. Aquacult. Int. 17(5): 403-419. http://dx.doi.org/10.1007/s10499-008-9212-8
In: Aquaculture International. Springer: London. ISSN 0967-6120; e-ISSN 1573-143X
Cultures > Shellfish culture > Mollusc culture > Scallop culture
Evaluation > Site selection
Mizuhopecten yessoensis (Jay, 1857) [WoRMS]
INW, Japan, Hokkaido, Funka Bay
Aquaculture; Biophysical; Funka Bay; GIS; Remote sensing; Scallop; Siteselection
|Auteurs|| || Top |
- Radiarta, I.N.
- Saitoh, S.
Scallop aquaculture has grown to become the most successful marine shellfish farming venture in Japan. To ensure long-term sustainability of scallop production, suitable sites need to be selected. This study was conducted to identify the most suitable sites for hanging culture of Japanese scallop (Mizuhopecten yessoensis) based on measured biophysical parameters and modeled using geographic information system (GIS) models. Four biophysical parameters that influence Japanese scallop aquaculture in Funka Bay were selected: sea temperature, food availability (chlorophyll-a), suspended solid, and bathymetry. The SeaWiFS and MODIS images were used to extract most of these parameters. A series of GIS models was developed to identify suitable sites for scallop culture using a multi-criteria evaluation (MCE) known as weighted linear combination. Suitability scores were ranked on a scale from 1 (least suitable) to 8 (most suitable), and about 83% of the total potential area with bottom depths less than 60 m had scores of 7 and 8. The final model outputs were compared with field verification data and found to be consistent. Local sensitivity analysis was used to test the robustness of the model output. Based on this analysis, the order of importance of the variables affecting the model was as follows: suspende solid > chlorophyll-a > sea temperature.