The Investigation of Mackerel (Rastrelliger spp.) Fishing Grounds in the Gulf of Thailand and the Relationship between Fishing Grounds with Oceanographic Parameters Based on Data from Vessel Monitoring System (VMS) Using Geo-Informatics Technology
Abstract
The objectives of this study were to investigate mackerel (Rastrelliger spp.) fishing grounds in the Gulf of Thailand based on data from vessel monitoring system (VMS) and fishing logbook from surrounding net fisheries in the Gulf of Thailand in 2019. The relationships between mackerel fishing grounds with satellite data of chlorophyll-a (Chl-a) and sea surface temperature (SST) from MODIS-Aqua Sensor were investigated using the Generalized Additive Model (GAM). The results showed that mackerel fishing grounds change according to the monsoons. In the southwest monsoon (rains), fishing grounds were located from Surat Thani, Chumphon and Prachuap Khiri Khan provinces to the upper Gulf of Thailand. In the northeast monsoon (winter), fishing grounds were found the move from the upper Gulf of Thailand to Prachuap Khiri Khan, Chumphon and Surat Thani provinces. During inter-monsoon (summer), most fishing grounds were in Prachuap Khiri Khan Province. Fishing grounds were significantly related (p < 0.001) to Chl-a ranging between 0.2 – 0.5 milligram per cubic meter and SST between 29.5 - 31.5 degree Celsius. Temporal variations in fishing areas were in line with seasonal circulations in the Gulf of Thailand. Keywords: mackerel fishing grounds, Gulf of Thailand, geoinformatics, remote sensing, Generalized Additive Model (GAM)References
Buranapratheprat, A., & Bunpapong, M. (1998). A Two-Dimensional Hydrodynamic Model for the Gulf of Thailand. The IOC/WESTPAC Fourth International Scientific Symposium, (pp. 469-478). Okinawa, Japan.
Buranapratheprat, A., Sojisuporn, P., Suwannarach, T., & Jintasaeranee, P. (2015). Wave analysis at Bangsaen Beach, Chonburi Province. Burapha Science Journal, 20(2), 131-139. (in Thai)
Chassot, E., Bonhommeau, S., Reygondeau, G., Nieto, K., Polovina, J. J., Huret, M., Dulvy N. K., Demarcq, H. (2011). Satellite remote sensing for an ecosystem approach to fisheries management. ICES Journal of Marine Science, 651–666.
Department of Fisheries. (1965). Report on Mackerels Investigations. Bangkok: Department of Fisheries. (in Thai)
Department of Fisheries. (2018). Fisheries Statistics of Thailand 2018. Bangkok: Department of Fisheries. (in Thai)
FAO. (1998). Fishing operations. 1. Vessel monitoring systems. FAO Technical Guidelines for Responsible Fisheries. Rome: Food and Agriculture Organization of the United Nations.
FAO. (2020). FAO Yearbook of Fishery and Aquaculture Statistics. Rome, Italy: FAO.
Hastie, T., & Tibshirani, R. (1990). Generalized additive models Monographs on Statistics and Applied Probability 43. London: Chapman&Hall/CRC.
Krajangdara, T., Puntuleng, P., Chalee, P., & Hussadee, P. (2007). Reproductive Biology of Short Mackerel Rastrelliger brachysoma (Bleeker, 1851) and Indian Mackerel R. kanagurta (Cuvier, 1816) in Thai Waters. Bangkok: Department of Fisheries. (in Thai)
Maila-iad , P., Pinputtasin , C., & Sereeruk, K. (2006). Reproductive biology of Chub Mackerel and Indian Mackerel in the upper Gulf of Thailand. Bangkok: Department of Fisheries. (in Thai)
Meteorological Department. (2021). Thailand's climate. Retrieved November 15, 2021, from https://www.tmd.go.th/info/info.php?FileID=22
Pitchaikani, J. S., & Lipton, A. (2012). Impact of environment variables on pelagic fish landings: Special emphasis on Indian oil sardine off Tiruchendur coast, Gulf of Mannar. Journal of Oceanography and Marine Science, 56-67.
RStudio Team (2021). RStudio: Integrated Development for R. RStudio, Inc., Boston, MA URL: http://www.rstudio.com/.
Santos, A. M. (2000). Fisheries oceanography using satellite and airborne remote sensing methods: A review. Fisheries Research, 1-20.
Solanki, H. U., Mankodi, P., Dwivedi, R. M., & Nayak, S. (2008). Satellite observations of main oceanographic processes to identify ecological associations in the Northern Arabian Sea for fishery resources exploration. Hydrobiologia, 269-279.
Solanki, H. U., Mankodi, P., Nayak, S., & Somvanshi, V. S. (2005). Evaluation of remote-sensing-based potential fishing zones (PFZs) forecast methodology. Continental Shelf Research , 2163-2173.
Solanlki, H. U., Dwivedi, R. M., Nayak, S., Jadeja, J. V., Thakar, D. B., Dave, H. B., & Patel, M. I. (2001). Application of Ocean Colour Monitor chlorophyll and AVHRR SST for fishery forecast: Preliminary validation results off Gujarat coast, northwest coast of India. Indian Journal of Geo-Marine Sciences, 30, 132-138.
Upper Gulf Fisheries Research and Development Center (Samut Prakan). (2008). Annual Report 2008. Samut Prakan: Upper Gulf Fisheries Research and Development Center (Samut Prakan).
Yee, T. W., & Mitchell, N. D. (1991). Generalized additive models in plant ecology. Journal of Vegetation Science 2, 587-602.
Zagaglia, C. R., Lorenzzetti, J. A., & Stech, J. L. (2004). Remote sensing data and longline catches of yellowfin tuna (Thunnus albacares) in the equatorial Atlantic. Remote Sensing of Environment, 267–281.
Buranapratheprat, A., Sojisuporn, P., Suwannarach, T., & Jintasaeranee, P. (2015). Wave analysis at Bangsaen Beach, Chonburi Province. Burapha Science Journal, 20(2), 131-139. (in Thai)
Chassot, E., Bonhommeau, S., Reygondeau, G., Nieto, K., Polovina, J. J., Huret, M., Dulvy N. K., Demarcq, H. (2011). Satellite remote sensing for an ecosystem approach to fisheries management. ICES Journal of Marine Science, 651–666.
Department of Fisheries. (1965). Report on Mackerels Investigations. Bangkok: Department of Fisheries. (in Thai)
Department of Fisheries. (2018). Fisheries Statistics of Thailand 2018. Bangkok: Department of Fisheries. (in Thai)
FAO. (1998). Fishing operations. 1. Vessel monitoring systems. FAO Technical Guidelines for Responsible Fisheries. Rome: Food and Agriculture Organization of the United Nations.
FAO. (2020). FAO Yearbook of Fishery and Aquaculture Statistics. Rome, Italy: FAO.
Hastie, T., & Tibshirani, R. (1990). Generalized additive models Monographs on Statistics and Applied Probability 43. London: Chapman&Hall/CRC.
Krajangdara, T., Puntuleng, P., Chalee, P., & Hussadee, P. (2007). Reproductive Biology of Short Mackerel Rastrelliger brachysoma (Bleeker, 1851) and Indian Mackerel R. kanagurta (Cuvier, 1816) in Thai Waters. Bangkok: Department of Fisheries. (in Thai)
Maila-iad , P., Pinputtasin , C., & Sereeruk, K. (2006). Reproductive biology of Chub Mackerel and Indian Mackerel in the upper Gulf of Thailand. Bangkok: Department of Fisheries. (in Thai)
Meteorological Department. (2021). Thailand's climate. Retrieved November 15, 2021, from https://www.tmd.go.th/info/info.php?FileID=22
Pitchaikani, J. S., & Lipton, A. (2012). Impact of environment variables on pelagic fish landings: Special emphasis on Indian oil sardine off Tiruchendur coast, Gulf of Mannar. Journal of Oceanography and Marine Science, 56-67.
RStudio Team (2021). RStudio: Integrated Development for R. RStudio, Inc., Boston, MA URL: http://www.rstudio.com/.
Santos, A. M. (2000). Fisheries oceanography using satellite and airborne remote sensing methods: A review. Fisheries Research, 1-20.
Solanki, H. U., Mankodi, P., Dwivedi, R. M., & Nayak, S. (2008). Satellite observations of main oceanographic processes to identify ecological associations in the Northern Arabian Sea for fishery resources exploration. Hydrobiologia, 269-279.
Solanki, H. U., Mankodi, P., Nayak, S., & Somvanshi, V. S. (2005). Evaluation of remote-sensing-based potential fishing zones (PFZs) forecast methodology. Continental Shelf Research , 2163-2173.
Solanlki, H. U., Dwivedi, R. M., Nayak, S., Jadeja, J. V., Thakar, D. B., Dave, H. B., & Patel, M. I. (2001). Application of Ocean Colour Monitor chlorophyll and AVHRR SST for fishery forecast: Preliminary validation results off Gujarat coast, northwest coast of India. Indian Journal of Geo-Marine Sciences, 30, 132-138.
Upper Gulf Fisheries Research and Development Center (Samut Prakan). (2008). Annual Report 2008. Samut Prakan: Upper Gulf Fisheries Research and Development Center (Samut Prakan).
Yee, T. W., & Mitchell, N. D. (1991). Generalized additive models in plant ecology. Journal of Vegetation Science 2, 587-602.
Zagaglia, C. R., Lorenzzetti, J. A., & Stech, J. L. (2004). Remote sensing data and longline catches of yellowfin tuna (Thunnus albacares) in the equatorial Atlantic. Remote Sensing of Environment, 267–281.
Downloads
Published
2022-05-18
Issue
Section
Research Article
