Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/135193
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Coll, Marta | - |
dc.contributor.author | Steenbeek, Jeroen | - |
dc.contributor.author | Solé, Jordi | - |
dc.contributor.author | Palomera, Isabel | - |
dc.contributor.author | Christensen, Villy | - |
dc.date.accessioned | 2016-08-02T07:09:27Z | - |
dc.date.available | 2016-08-02T07:09:27Z | - |
dc.date.issued | 2016-07 | - |
dc.identifier | doi: 10.1016/j.ecolmodel.2016.03.020 | - |
dc.identifier | issn: 0304-3800 | - |
dc.identifier.citation | Ecological Modelling 331: 100-114 (2016) | - |
dc.identifier.uri | http://hdl.handle.net/10261/135193 | - |
dc.description | Special issue Ecopath 30 years – Modelling ecosystem dynamics: beyond boundaries with EwE.-- 15 pages, 8 figures, 3 tables, 2 appendixes, supplementary data https://dx.doi.org/10.1016/j.ecolmodel.2016.03.020 | - |
dc.description.abstract | To realistically predict spatial-temporal dynamics of species in marine ecosystems it is essential to consider environmental conditions in conjunction with human activities and food web dynamics. In this study, we used Ecospace, the spatial-temporal dynamic module of Ecopath with Ecosim (EwE) food web model, to drive a spatially explicit marine food web model representing the Southern Catalan Sea (NW Mediterranean) with various environmental drivers and with fishing. We then evaluated the individual and joint effects of environmental conditions and fishing in various compartments of the food web. First we used a previously developed EwE model fitted to time series of data from 1978 to 2010 as a baseline configuration. The model included 40 functional groups and four fishing fleets. We first ran the original Ecospace spatial-temporal dynamic model using the original habitat configuration, in addition to fishing, and we predicted species distributions and abundances. Afterwards, we ran the new habitat foraging capacity model using the most important environmental drivers linked with the Ebro River delta dynamics (salinity, temperature, and primary production), in addition to depth, substrate and fishing, and we compared results with those from the original implementation of Ecospace. Three commercial species, European hake (Merluccius merluccius), anchovy (Engraulis encrasicolus) and sardine (Sardina pilchardus), were used to analyse results. Species distributions more closely matched the empirical information available from the study area when using the new habitat capacity model. Results suggested that the historical impacts of fishing and environmental conditions on the biomass and distributions of hake, anchovy and sardine were not additive, but mainly cumulative with a synergistic or antagonistic effect. Fishing had the highest impact on spatial modelling results while the spatial distribution of primary producers and depth followed in importance. This study contributes to the development of more reliable predictions of regional change in marine ecosystems of the Mediterranean Sea | - |
dc.description.sponsorship | MC was partially funded by the European Commission through the Marie Curie Career Integration Grant Fellowships – PCIG10-GA-2011-303534 – to the BIOWEB project and by the Spanish National Program Ramon y Cajal. This study is a contribution to the project ECOTRANS (CTM2011-26333, Ministerio de Economía y Competitividad, Spain) | - |
dc.publisher | Elsevier | - |
dc.rights | closedAccess | - |
dc.subject | Cumulative effects | - |
dc.subject | Environment | - |
dc.subject | Food webs | - |
dc.subject | Ecopath with Ecosim | - |
dc.subject.mesh | Fishing | - |
dc.title | Modelling the cumulative spatial-temporal effects of environmental drivers and fishing in a NW Mediterranean marine ecosystem | - |
dc.type | artículo | - |
dc.identifier.doi | 10.1016/j.ecolmodel.2016.03.020 | - |
dc.relation.publisherversion | https://dx.doi.org/10.1016/j.ecolmodel.2016.03.020 | - |
dc.date.updated | 2016-08-02T07:09:28Z | - |
dc.description.version | Peer Reviewed | - |
dc.language.rfc3066 | eng | - |
dc.contributor.funder | European Commission | - |
dc.contributor.funder | Ministerio de Economía y Competitividad (España) | - |
dc.relation.csic | Sí | - |
dc.identifier.funder | http://dx.doi.org/10.13039/501100000780 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100003329 | es_ES |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.openairetype | artículo | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | No Fulltext | - |
Aparece en las colecciones: | (ICM) Artículos |
CORE Recommender
SCOPUSTM
Citations
58
checked on 18-abr-2024
WEB OF SCIENCETM
Citations
56
checked on 24-feb-2024
Page view(s)
242
checked on 19-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.