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http://hdl.handle.net/10609/147528
Title: | Predicción de potenciales zonas de pesca de la especie Scomber japonicus en el Pacífico este, a través de redes neuronales |
Author: | Vera Bermúdez, Jessica Martha |
Tutor: | Ventura, Carles |
Others: | Rebrij, Romina |
Abstract: | Fishing is one of the ecosystem services with an impact on nutrition and the economy around the world. Among the most exploited species globally is Scomber japonicus. This species is also one of the most important for the Ecuadorian economy. Therefore, knowing the distribution of its abundance is relevant to ensure sustainable species management. This work aims to characterize the abundance distribution of the Scomber japonicus species by month and area on the Ecuadorian East Pacific coast, identify the exploited areas and predict the abundance by month in areas not explored by fishing boats. Thus, identifying potential fishing zones through oceanographic variables in a multilayer perceptron neural network model of two hidden layers with 32 and 7 hidden nodes, respectively. The results showed greater abundance in southern Ecuador in January or February. In addition, uncommon areas were estimated to have a similar abundance as the common fishing zones. Thus those could be potential fishing areas that allow the reconstruction of exploited areas. |
Keywords: | scomber japonicus fishing area scomber japonicus neural networks |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2023 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
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jverabeTFM0123videopresentacion.mp4 | Video presentación | 68,01 MB | MP4 | View/Open |
jverabeTFM0123videopresentation.mp4 | Video presentation | 71,38 MB | MP4 | View/Open |
jverabeTFM0123memoria.pdf | Memoria del TFM | 4,59 MB | Adobe PDF | View/Open |
jverabeTFM0123presentacion.pdf | Presentación del TFM | 10,8 MB | Adobe PDF | View/Open |
jverabeTFM0123presentation.pdf | Presentation del TFM | 10,61 MB | Adobe PDF | View/Open |
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