English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/78452
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

Bridging the gap between ecosystem modeling tools and geographicinformation systems: Driving a food web model with externalspatial-temporal data

AuthorsSteenbeek, Jeroen ; Coll, Marta ; Gurney, Leigh; Mélin, Frédéric; Hoepffner, Nicolas; Buszowski, Joe; Christensen, Villy
KeywordsFood web model
EwE approach
Ecospace
Adriatic Sea
Mediterranean Sea
GIS
Issue DateAug-2013
PublisherElsevier
CitationEcological Modelling 263: 139-151 (2013)
AbstractResearch toward the impacts of climate change and human activities on marine ecosystems is challenged by the limitations of present-day ecosystem models to address the interrelated spatial dynamics between climate, ocean chemistry, marine food webs, and human systems. The work presented here, the spatial–temporal data framework, is part of a larger study, the NF-UBC Nereus Program, to develop a new approach to model interoperability for closing the gap between marine ecosystem modeling tools via geographic information systems (GIS) technology. The approach we present simplifies interdisciplinary model interoperability by separating technical and scientific challenges into a flexible and modular software approach. To illustrate capabilities of the new framework, we use a remote-sensing derived spatial and temporal time series to drive the primary production dynamics in an existing food web model of the North-Central Adriatic using the Ecospace module of the Ecopath with Ecosim approach. In general, the predictive capabilities of the food web model to hind-cast ecosystem dynamics are enhanced when applying the new framework by better reflecting observed species population trends and distributions. Results show that changes at the phytoplankton level due to changes in primary production are realistically reproduced and cascade up the pelagic food web. The dynamics of zooplankton and small and large pelagic fish are impacted. Highly exploited demersal species such as European hake do, however, not show clear signs of cascading. This may be due to the high fishing pressure on this species and the resulting strong historical decline in the area. In general, the development of the new framework offers ecosystem modelers with unprecedented capabilities to include spatial–temporal time series into food web analysis with a minimal set of required steps. It is a promising step toward integrating species distribution models and food web dynamics, and future implementations of interdisciplinary model interoperability.
Description13 páginas, 13 figuras.
Publisher version (URL)http://dx.doi.org/10.1016/j.ecolmodel.2013.04.027
URIhttp://hdl.handle.net/10261/78452
DOI10.1016/j.ecolmodel.2013.04.027
ISSN0304-3800
Appears in Collections:(ICM) Artículos
Files in This Item:
There are no files associated with this item.
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.