Improving machine learning predictions to estimate fishing effort using vessel's tracking data
Small-Scale Fisheries (SSF) comprise over 80 % of the global fleet and serve as the primary income source for numerous coastal communities. However, these critical fisheries face various threats. To effectively monitor SSF activities and their ecological impacts, it is required precise estimation of...
Saved in:
Main Authors: | J. Samarão, A. Moreno, M.B. Gaspar, M.M. Rufino |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Ecological Informatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954124004953 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Stock status of kawakawa Euthynnus affinis (Cantor, 1849) fishery using surplus production model: An assessment from coastal waters of Tamil Nadu, Bay of Bengal, Southeast coast of India
by: Rajendran Abinaya, et al.
Published: (2025-01-01) -
Fish Population Recruitment: What recruitment means and why it matters
by: Ed Camp, et al.
Published: (2020-03-01) -
Fish Population Recruitment: What recruitment means and why it matters
by: Ed Camp, et al.
Published: (2020-03-01) -
Sustainability status of amphidromous nike fish, postlarva Gobioidei, in estuarine water
by: F.M. Sahami, et al.
Published: (2024-01-01) -
Recreational fishing effort and how management actions can affect it—Part 1: Theory
by: Edward Camp, et al.
Published: (2023-04-01)