Main drivers of spatial change in the biomass of commercial species between summer and winter in the NW Mediterranean Sea

Main drivers of spatial change in the biomass of commercial species between summer and winter in the NW Mediterranean Sea

15 pages, 6 figures, 1 table, supplementary data https://doi.org/10.1016/j.marenvres.2020.105227

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Bibliographic Details
Main Authors: Lloret Lloret, Elena, Pennino, Maria Grazia, Vilás González, Daniel, Bellido, José M., Navarro, Joan, Coll, Marta
Other Authors: Ministerio de Ciencia, Innovación y Universidades (España)
Format: artículo biblioteca
Language:English
Published: Elsevier 2021-02
Subjects:Marine ecology, Demersal community, Mediterranean sea, Seasonality, Spatial distribution model, Bayesian analysis,
Online Access:http://hdl.handle.net/10261/227095
http://dx.doi.org/10.13039/501100010198
http://dx.doi.org/10.13039/501100011033
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spelling dig-icm-es-10261-2270952021-12-31T05:31:06Z Main drivers of spatial change in the biomass of commercial species between summer and winter in the NW Mediterranean Sea Lloret Lloret, Elena Pennino, Maria Grazia Vilás González, Daniel Bellido, José M. Navarro, Joan Coll, Marta Ministerio de Ciencia, Innovación y Universidades (España) Ministerio de Economía, Industria y Competitividad (España) Agencia Estatal de Investigación (España) Marine ecology Demersal community Mediterranean sea Seasonality Spatial distribution model Bayesian analysis 15 pages, 6 figures, 1 table, supplementary data https://doi.org/10.1016/j.marenvres.2020.105227 There is a general lack of information related to the spatial structure and functioning of marine ecosystems considering seasonality. Here, we modeled the biomass distribution of eight commercial marine species in the northwestern Mediterranean Sea during winter and summer. We hypothesised that the seasonal differences of the water column and the spatial heterogeneity of oceanographic conditions in the study area could result in seasonal variations on the species biomass distributions. We employed a Bayesian hierarchical species distribution modelling approach (B-SDM) with data from two experimental trawl surveys to analyse which are the significant drivers in each season. Our results showed that bathymetry, temperature and fishing patterns are important variables explaining the species spatial biomass distributions. Furthermore, we found seasonal differentiation in the spatial distribution of biomass for all the studied species. Our results provide essential knowledge about the seasonal distributions of key species in the Mediterranean Sea, with important management implications E.Ll.-Ll.- was supported by a FPU fellowship from the Spanish Ministry of Education (FPU1704395) associated to the project PELWEB (RETOS-2017-CTM2017-88939-R: Ministry of Economy, Industry and Competitivity, I+D+I projects) Science and Innovation, Spanish Government. J.N. was funded by the Spanish National Program Ramón y Cajal (RYC-2015-17809) With the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI) Peer reviewed 2021-01-20T06:36:11Z 2021-01-20T06:36:11Z 2021-02 artículo http://purl.org/coar/resource_type/c_6501 Marine Environmental Research 164: 105227 (2020) 0141-1136 CEX2019-000928-S http://hdl.handle.net/10261/227095 10.1016/j.marenvres.2020.105227 http://dx.doi.org/10.13039/501100010198 http://dx.doi.org/10.13039/501100011033 en #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RETOS-2017-CTM2017-88939-R Preprint https://doi.org/10.1016/j.marenvres.2020.105227 Sí open Elsevier
institution ICM ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-icm-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del ICM España
language English
topic Marine ecology
Demersal community
Mediterranean sea
Seasonality
Spatial distribution model
Bayesian analysis
Marine ecology
Demersal community
Mediterranean sea
Seasonality
Spatial distribution model
Bayesian analysis
spellingShingle Marine ecology
Demersal community
Mediterranean sea
Seasonality
Spatial distribution model
Bayesian analysis
Marine ecology
Demersal community
Mediterranean sea
Seasonality
Spatial distribution model
Bayesian analysis
Lloret Lloret, Elena
Pennino, Maria Grazia
Vilás González, Daniel
Bellido, José M.
Navarro, Joan
Coll, Marta
Main drivers of spatial change in the biomass of commercial species between summer and winter in the NW Mediterranean Sea
description 15 pages, 6 figures, 1 table, supplementary data https://doi.org/10.1016/j.marenvres.2020.105227
author2 Ministerio de Ciencia, Innovación y Universidades (España)
author_facet Ministerio de Ciencia, Innovación y Universidades (España)
Lloret Lloret, Elena
Pennino, Maria Grazia
Vilás González, Daniel
Bellido, José M.
Navarro, Joan
Coll, Marta
format artículo
topic_facet Marine ecology
Demersal community
Mediterranean sea
Seasonality
Spatial distribution model
Bayesian analysis
author Lloret Lloret, Elena
Pennino, Maria Grazia
Vilás González, Daniel
Bellido, José M.
Navarro, Joan
Coll, Marta
author_sort Lloret Lloret, Elena
title Main drivers of spatial change in the biomass of commercial species between summer and winter in the NW Mediterranean Sea
title_short Main drivers of spatial change in the biomass of commercial species between summer and winter in the NW Mediterranean Sea
title_full Main drivers of spatial change in the biomass of commercial species between summer and winter in the NW Mediterranean Sea
title_fullStr Main drivers of spatial change in the biomass of commercial species between summer and winter in the NW Mediterranean Sea
title_full_unstemmed Main drivers of spatial change in the biomass of commercial species between summer and winter in the NW Mediterranean Sea
title_sort main drivers of spatial change in the biomass of commercial species between summer and winter in the nw mediterranean sea
publisher Elsevier
publishDate 2021-02
url http://hdl.handle.net/10261/227095
http://dx.doi.org/10.13039/501100010198
http://dx.doi.org/10.13039/501100011033
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