Asset Details
Do you wish to reserve the book?
Mapping bullet tuna (Auxis rochei) potential fishing grounds in Prigi waters, East Java, Indonesia, using satellite imagery and in-situ oceanographic parameters
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Mapping bullet tuna (Auxis rochei) potential fishing grounds in Prigi waters, East Java, Indonesia, using satellite imagery and in-situ oceanographic parameters
Do you wish to request the book?
Mapping bullet tuna (Auxis rochei) potential fishing grounds in Prigi waters, East Java, Indonesia, using satellite imagery and in-situ oceanographic parameters
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Mapping bullet tuna (Auxis rochei) potential fishing grounds in Prigi waters, East Java, Indonesia, using satellite imagery and in-situ oceanographic parameters
2024
Overview
Prigi waters in East Java, Indonesia have dominant fishing potential, especially bullet tuna (Auxis rochei). The capture of A. rochei in Prigi generally uses small pelagic purse seine. Overfishing efforts cause A. rochei production to fluctuate every year. In addition, this decline in production can be influenced by oceanographic parameters. The purpose of this study was to understand the conditions of oceanographic parameters (SST, chlorophyll-a, salinity) and their relationship to A. rochei for determining potential fishing zones. The research was carried out from February to April 2024. The research method was carried out by directly measuring oceanographic parameters and using satellite image data. Data analysis uses satellite image data verification tests and in-situ data. The data captured are real-time. A multiple linear regression analysis for determining the optimal parameter combination is carried out to obtain the fishing potential zone. A 1 ppt change in salinity resulted in an increase of 5,276.53 kg in the catch of A. rochei. Meanwhile, simultaneous testing obtained a significance result of 0.008 which means that the variables SST, chlorophyll-a, and salinity together influence the catch of A. rochei. Testing partially SST, and salinity affects (p<0.05) A. rochei, but chlorophyll-a alone does not affect A. rochei. The value of the determination coefficient was 0.796, which means that the influence of SST, chlorophyll-a, and salinity variables on the variable A. rochei was 79.6%, while 20.4% was influenced by other factors that were not included in the regression model. The mapping of the Fishing Potential Zone (ZPPI) can be used as a reference for determining the A. rochei fishing area as a prevention of a decline in A. rochei production in Prigi. ZPPI is an important process to improve the efficiency and sustainability of the fishing industry.
We currently cannot retrieve any items related to this title. Kindly check back at a later time.