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Modelling the cumulative spatial–temporal effects of environmental drivers and fishing in a NW Mediterranean marine ecosystem

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  • Coll, Marta
  • Steenbeek, Jeroen
  • Sole, Jordi
  • Palomera, Isabel
  • Christensen, Villy

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.

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  • Coll, Marta & Steenbeek, Jeroen & Sole, Jordi & Palomera, Isabel & Christensen, Villy, 2016. "Modelling the cumulative spatial–temporal effects of environmental drivers and fishing in a NW Mediterranean marine ecosystem," Ecological Modelling, Elsevier, vol. 331(C), pages 100-114.
    • Handle: RePEc:eee:ecomod:v:331:y:2016:i:c:p:100-114
    DOI: 10.1016/j.ecolmodel.2016.03.020
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    References listed on IDEAS

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    1. Jones, Miranda C. & Dye, Stephen R. & Pinnegar, John K. & Warren, Rachel & Cheung, William W.L., 2012. "Modelling commercial fish distributions: Prediction and assessment using different approaches," Ecological Modelling, Elsevier, vol. 225(C), pages 133-145.
    2. Coll, Marta & Palomera, Isabel & Tudela, Sergi & Dowd, Michael, 2008. "Food-web dynamics in the South Catalan Sea ecosystem (NW Mediterranean) for 1978–2003," Ecological Modelling, Elsevier, vol. 217(1), pages 95-116.
    3. Christensen, Villy & Steenbeek, Jeroen & Failler, Pierre, 2011. "A combined ecosystem and value chain modeling approach for evaluating societal cost and benefit of fishing," Ecological Modelling, Elsevier, vol. 222(3), pages 857-864.
    4. Heymans, Johanna Jacomina & Coll, Marta & Link, Jason S. & Mackinson, Steven & Steenbeek, Jeroen & Walters, Carl & Christensen, Villy, 2016. "Best practice in Ecopath with Ecosim food-web models for ecosystem-based management," Ecological Modelling, Elsevier, vol. 331(C), pages 173-184.
    5. Steenbeek, Jeroen & Coll, Marta & Gurney, Leigh & Mélin, Frédéric & Hoepffner, Nicolas & Buszowski, Joe & Christensen, Villy, 2013. "Bridging the gap between ecosystem modeling tools and geographic information systems: Driving a food web model with external spatial–temporal data," Ecological Modelling, Elsevier, vol. 263(C), pages 139-151.
    6. Steenbeek, Jeroen & Buszowski, Joe & Christensen, Villy & Akoglu, Ekin & Aydin, Kerim & Ellis, Nick & Felinto, Dalai & Guitton, Jerome & Lucey, Sean & Kearney, Kelly & Mackinson, Steven & Pan, Mike & , 2016. "Ecopath with Ecosim as a model-building toolbox: Source code capabilities, extensions, and variations," Ecological Modelling, Elsevier, vol. 319(C), pages 178-189.
    7. Mackinson, S. & Daskalov, G. & Heymans, J.J. & Neira, S. & Arancibia, H. & Zetina-Rejón, M. & Jiang, H. & Cheng, H.Q. & Coll, M. & Arreguin-Sanchez, F. & Keeble, K. & Shannon, L., 2009. "Which forcing factors fit? Using ecosystem models to investigate the relative influence of fishing and changes in primary productivity on the dynamics of marine ecosystems," Ecological Modelling, Elsevier, vol. 220(21), pages 2972-2987.
    8. Coll, Marta & Palomera, Isabel & Tudela, Sergi, 2009. "Decadal changes in a NW Mediterranean Sea food web in relation to fishing exploitation," Ecological Modelling, Elsevier, vol. 220(17), pages 2088-2102.
    9. Christensen, Villy & Ferdaña, Zach & Steenbeek, Jeroen, 2009. "Spatial optimization of protected area placement incorporating ecological, social and economical criteria," Ecological Modelling, Elsevier, vol. 220(19), pages 2583-2593.
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    3. Coll, M. & Pennino, M. Grazia & Steenbeek, J. & Sole, J. & Bellido, J.M., 2019. "Predicting marine species distributions: Complementarity of food-web and Bayesian hierarchical modelling approaches," Ecological Modelling, Elsevier, vol. 405(C), pages 86-101.

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