Fish recruitment prediction, using robust supervised classification methods-Reference-Cited by-同舟云学术

Fish recruitment prediction, using robust supervised classification methods

Published:2010-01 Issue:2 Volume:221 Page:338-352
ISSN:0304-3800
Container-title:Ecological Modelling
language:en
Short-container-title:Ecological Modelling

Author:

Fernandes Jose A.,Irigoien Xabier,Goikoetxea Nerea,Lozano Jose A.,Inza Iñaki,Pérez Aritz,Bode Antonio

Publisher

Elsevier BV

Subject

Ecological Modeling

Reference87 articles.

1. Long-term climate forcing of European herring and sardine populations;Alheit;Fish. Oceanogr.,1997

2. Distribution and abundance of European hake Merluccius merluccius (L.) eggs and larvae in the North East Atlantic waters in 1995 and 1998 in relation to hydrographic conditions;Álvarez;J. Plankton Res.,2004

3. The influence of mesoscale ocean processes on anchovy (Engraulis encrasicolus) recruitment in the Bay of Biscay estimated with a three-dimensional hydrodynamic model;Allain;Fish. Oceanogr.,2001

4. The influence of environment and spawning distribution on the survival of anchovy (Engraulis encrasicolus) larvae in the Bay of Biscay (NE Atlantic) investigated by biophysical simulations;Allain;Fish. Oceanogr.,2007

5. Introduction to Machine-Learning;Alpaydin,2004

Cited by 59 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Random forest regression models in ecology: Accounting for messy biological data and producing predictions with uncertainty;Fisheries Research;2024-12

2. Forecasting fish recruitment using machine learning methods: A case study of arabesque greenling;Fisheries Research;2024-10

3. Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery;Ecological Informatics;2024-07

4. Toward Digitalization of Fishing Vessels to Achieve Higher Environmental and Economic Sustainability;ACS Environmental Au;2024-01-24

5. Projections of Intertidal Estuarine Seagrass Distribution Under Climate Change Scenarios Using a Bayesian Network Approach;2024