A systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps.

As species distribution models, and similar techniques, have emerged in marine ecology, a vast array of predictor variables have been created and diverse methodologies have been applied. Marine fish are vital food resources worldwide, yet identifying the most suitable methodology and predictors to c...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Bradley A Pickens, Rachel Carroll, Michael J Schirripa, Francesca Forrestal, Kevin D Friedland, J Christopher Taylor
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a2d6af49b6294075958839f44e3781fa
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a2d6af49b6294075958839f44e3781fa
record_format	dspace
spelling	oai:doaj.org-article:a2d6af49b6294075958839f44e3781fa2021-11-25T06:19:13ZA systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps.1932-620310.1371/journal.pone.0251818https://doaj.org/article/a2d6af49b6294075958839f44e3781fa2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251818https://doaj.org/toc/1932-6203As species distribution models, and similar techniques, have emerged in marine ecology, a vast array of predictor variables have been created and diverse methodologies have been applied. Marine fish are vital food resources worldwide, yet identifying the most suitable methodology and predictors to characterize spatial habitat associations, and the subsequent distributions, often remains ambiguous. Our objectives were to identify knowledge gaps in fish guilds, identify research themes, and to determine how data sources, statistics, and predictor variables differ among fish guilds. Data were obtained from an international literature search of peer-reviewed articles (2007-2018; n = 225) and research themes were determined based on abstracts. We tested for differences in data sources and modeling techniques using multinomial regressions and used a linear discriminant analysis to distinguish differences in predictors among fish guilds. Our results show predictive studies increased over time, but studies of forage fish, sharks, coral reef fish, and other fish guilds remain sparse. Research themes emphasized habitat suitability and distribution shifts, but also addressed abundance, occurrence, stock assessment, and biomass. Methodologies differed by fish guilds based on data limitations and research theme. The most frequent predictors overall were depth and temperature, but most fish guilds were distinguished by their own set of predictors that focused on their specific life history and ecology. A one-size-fits-all approach is not suitable for predicting marine fish distributions. However, given the paucity of studies for some fish guilds, researchers would benefit from utilizing predictors and methods derived from more commonly studied fish when similar habitat requirements are expected. Overall, the findings provide a guide for determining predictor variables to test and identifies novel opportunities to apply non-spatial knowledge and mechanisms to models.Bradley A PickensRachel CarrollMichael J SchirripaFrancesca ForrestalKevin D FriedlandJ Christopher TaylorPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0251818 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bradley A Pickens Rachel Carroll Michael J Schirripa Francesca Forrestal Kevin D Friedland J Christopher Taylor A systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps.
description	As species distribution models, and similar techniques, have emerged in marine ecology, a vast array of predictor variables have been created and diverse methodologies have been applied. Marine fish are vital food resources worldwide, yet identifying the most suitable methodology and predictors to characterize spatial habitat associations, and the subsequent distributions, often remains ambiguous. Our objectives were to identify knowledge gaps in fish guilds, identify research themes, and to determine how data sources, statistics, and predictor variables differ among fish guilds. Data were obtained from an international literature search of peer-reviewed articles (2007-2018; n = 225) and research themes were determined based on abstracts. We tested for differences in data sources and modeling techniques using multinomial regressions and used a linear discriminant analysis to distinguish differences in predictors among fish guilds. Our results show predictive studies increased over time, but studies of forage fish, sharks, coral reef fish, and other fish guilds remain sparse. Research themes emphasized habitat suitability and distribution shifts, but also addressed abundance, occurrence, stock assessment, and biomass. Methodologies differed by fish guilds based on data limitations and research theme. The most frequent predictors overall were depth and temperature, but most fish guilds were distinguished by their own set of predictors that focused on their specific life history and ecology. A one-size-fits-all approach is not suitable for predicting marine fish distributions. However, given the paucity of studies for some fish guilds, researchers would benefit from utilizing predictors and methods derived from more commonly studied fish when similar habitat requirements are expected. Overall, the findings provide a guide for determining predictor variables to test and identifies novel opportunities to apply non-spatial knowledge and mechanisms to models.
format	article
author	Bradley A Pickens Rachel Carroll Michael J Schirripa Francesca Forrestal Kevin D Friedland J Christopher Taylor
author_facet	Bradley A Pickens Rachel Carroll Michael J Schirripa Francesca Forrestal Kevin D Friedland J Christopher Taylor
author_sort	Bradley A Pickens
title	A systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps.
title_short	A systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps.
title_full	A systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps.
title_fullStr	A systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps.
title_full_unstemmed	A systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps.
title_sort	systematic review of spatial habitat associations and modeling of marine fish distribution: a guide to predictors, methods, and knowledge gaps.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/a2d6af49b6294075958839f44e3781fa
work_keys_str_mv	AT bradleyapickens asystematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps AT rachelcarroll asystematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps AT michaeljschirripa asystematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps AT francescaforrestal asystematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps AT kevindfriedland asystematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps AT jchristophertaylor asystematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps AT bradleyapickens systematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps AT rachelcarroll systematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps AT michaeljschirripa systematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps AT francescaforrestal systematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps AT kevindfriedland systematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps AT jchristophertaylor systematicreviewofspatialhabitatassociationsandmodelingofmarinefishdistributionaguidetopredictorsmethodsandknowledgegaps
_version_	1718413942178447360

A systematic review of spatial habitat associations and modeling of marine fish distribution: A guide to predictors, methods, and knowledge gaps.

Ejemplares similares