The feasible study of spatial and temporal distribution patterns of Yellowfin tuna (Thunnus albacares) in the Oman Sea using Remote Sensing Data | ||
| شیلات | ||
| Volume 76, Issue 1, March 2023, Pages 89-101 PDF (1.02 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.22059/jfisheries.2022.332195.1285 | ||
| Authors | ||
| Nilofar Ensafi1; Behzad Rayegani* 2; Behzad Saeedpour3; Farhad Kaymaram4 | ||
| 1Master of Fisheries Aquatic Ecology, Department of Fisheries, College of Environment, Karaj, Iran | ||
| 2Associate Professor, Assessment and Environment Risks Department, Research Center of Environment and Sustainable Development, Tehran, Iran | ||
| 3Assistant Professor, Department of Marine Environmental Sciences, College of Environment, Karaj, Iran | ||
| 4Associate Professor, Iranian Fisheries Science Research Institute (IFSRI), Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran | ||
| Abstract | ||
| Most fishermen use traditional methods to identify areas with fishing potential. Increasing demand for fish and the need to exploit marine resources in a cost-effective manner and reduce human activities have made the introduction and application of new methods important considerations. The use of remote sensing in fishing leads to successful fishing and reduces the cost of fishing and human activities. In this research, we have tried to identify the distribution of Yellowfin tuna in the Oman Sea using Remotely Sensed system and draw a map of their possible presence. For this purpose, the distribution patterns of tuna fishes were studied through catch data and monthly remotely sensed data (sea surface temperature, chlorophyll-a, sea surface heights, salinity and wind speed) for the years 2016 and 2017 in the Oman Sea using GIS and multi-criteria evaluation. The results showed use of remotely sensed data to determine the spatial and temporal distribution patterns of Yellowfin tuna is more than 70% accurate. By studying, the output of the catch distribution map and the test data was determined the proposed model is of optimal power for identifying Yellowfin tuna. On this basis, it can be mentioned that remotely sensed data could show potential fishing zone with a least error. Therefore, in future studies, the use of remotely sensed data for location of fishing and fishermen guidance is suggested, Also the results of this research could help fishery managers to ecosystem fisheries based on management and reducing the fishing effort for fish finding. | ||
| Keywords | ||
| Yellowfin tuna; Remotely Sensed Data; GIS; Multi-Criteria Evaluation; Oman Sea | ||
| References | ||
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