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Modelling the distribution of marine fishery resources: Where are we?

Lucas dos Santos Rodrigues; Maria Grazia Pennino; David Conesa; Eidi Kikuchi; Paul Gerhard Kinas; Fabiana Gonçalves Barbosa; Luís Gustavo Cardoso
Fish and Fisheries · Vol. 24, Issue 1 · pp. 159-175 · 2023

Abstract

Ecological niche models (ENMs) and species distribution models (SDMs) have been widely applied to various studies relevant to biogeography, conservation biology, and ecology. These modelling techniques seek to develop spatial maps for projecting, among others past, current, and future species distributions. Born in the field of terrestrial ecology, only in recent years have these models been applied to marine environmental issues, especially to improve the forecasting of the distribution of occurrences and capturing of fishery resources. This study aimed to present through bibliometric analysis the characteristics of articles related to the use of ENMs and SDMs in marine fishery resources considering three main points: (1) state of the art: number of articles over the years, journals, countries, collaborations, and focus of research; (2) characteristics linked to fishery resources: marine biogeographic realms, taxonomic groups, life phases, oceanographic zones, and behaviours; (3) characteristics linked to methods: type of method, type of biological and, environmental data. We provide a list of 378 articles (derived from 930 screened ones), the results, and a discussion of our findings, which represent a baseline for the current status (strengths, limits, and gaps) of the interface between ENMs/SDMs and fishery resources.

Bibliographic Information

JournalFish and Fisheries
PublisherWiley
Publication Date2023-01-01
Publication Year2023
Volume24
Issue1
Pages159-175
Document TypeJournal Article
Print ISSN1467-2960
eISSN1467-2979
DOI10.1111/faf.12716
SubjectGeneral Aquaculture, Fisheries & Fish Science

Access Information

NARA Access Coverage2000-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/14672979
Publisher PageOpen Publisher Page
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