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Ecopath 30 years : modelling ecosystem dynamics : beyond boundaries with EwE
- Source :
- Ecological Modelling, Ecological Modelling, Elsevier, 2016, 331, pp.100-114. ⟨10.1016/j.ecolmodel.2016.03.020⟩, Digital.CSIC. Repositorio Institucional del CSIC, instname
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- 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<br />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<br />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)
- Subjects :
- 0106 biological sciences
010504 meteorology & atmospheric sciences
[SDE.MCG]Environmental Sciences/Global Changes
Fishing
Environment
hake merluccius-merluccius
exploited ecosystems
01 natural sciences
Mediterranean sea
[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems
Anchovy
EcoSim
Marine ecosystem
14. Life underwater
fishing
0105 earth and related environmental sciences
Cumulative effects
Biomass (ecology)
acoustic estimation
biology
010604 marine biology & hydrobiology
Ecological Modeling
Food webs
european hake
Merluccius merluccius
food-web model
15. Life on land
biology.organism_classification
Fishery
south catalan sea
13. Climate action
Ecopath with Ecosim
food webs
climate-change
Environmental science
protected areas
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
environment
anchovy engraulis-encrasicolus
trawling disturbance
Subjects
Details
- Language :
- English
- ISSN :
- 03043800
- Database :
- OpenAIRE
- Journal :
- Ecological Modelling, Ecological Modelling, Elsevier, 2016, 331, pp.100-114. ⟨10.1016/j.ecolmodel.2016.03.020⟩, Digital.CSIC. Repositorio Institucional del CSIC, instname
- Accession number :
- edsair.doi.dedup.....1a9c022b2cecaba460d2e48572f83c8b
- Full Text :
- https://doi.org/10.1016/j.ecolmodel.2016.03.020⟩