@article{puts_insights_2020,

title = {Insights on integrating habitat preferences in process-oriented ecological models \textendash a case study of the southern North Sea},

author = {M. P\"{u}ts and M. Taylor and I. N\'{u}\~{n}ez-Riboni and J. Steenbeek and M. St\"{a}bler and C. M\"{o}llmann and A. Kempf},

url = {http://www.sciencedirect.com/science/article/pii/S030438002030260X},

doi = {10.1016/j.ecolmodel.2020.109189},

issn = {0304-3800},

year  = {2020},

date = {2020-01-01},

urldate = {2020-06-30},

journal = {Ecological Modelling},

volume = {431},

pages = {109189},

abstract = {One of the most applied tools to create ecosystem models to support management decisions in the light of ecosystem-based fisheries management is Ecopath with Ecosim (EwE). Recently, its spatial routine Ecospace has evolved due to the addition of the Habitat Foraging Capacity Model (HFCM), a spatial-temporal dynamic niche model to drive the foraging capacity to distribute biomass over model grid cells. The HFCM allows for continuous implementation of externally derived habitat preference maps based on single species distribution models. So far, guidelines are lacking on how to best define habitat preferences for inclusion in process-oriented trophic modeling studies. As one of the first studies, we applied the newest Ecospace development to an existing EwE model of the southern North Sea with the aim to identify which definition of habitat preference leads to the best model fit. Another key aim of our study was to test for the sensitivity of implementing externally derived habitat preference maps within Ecospace to different time-scales (seasonal, yearly, multi-year, and static). For this purpose, generalized additive models (GAM) were fit to scientific survey data using either presence/absence or abundance as differing criteria of habitat preference. Our results show that Ecospace runs using habitat preference maps based on presence/absence data compared best to empirical data. The optimal time-scale for habitat updating differed for biomass and catch, but implementing variable habitats was generally superior to a static habitat representation. Our study hence highlights the importance of a sigmoidal representation of habitat (e.g. presence/absence) and variable habitat preferences (e.g. multi-year) when combining species distribution models with an ecosystem model. It demonstrates that the interpretation of habitat preference can have a major influence on the model fit and outcome.},

keywords = {Ecopath with Ecosim, Ecospace, food web, GIS, local study, niches, North Sea, species distributions},

pubstate = {published},

tppubtype = {article}

}

@article{corrales_multi-zone_2020,

title = {Multi-zone marine protected areas: Assessment of ecosystem and fisheries benefits using multiple ecosystem models},

author = {X. Corrales and D. Vilas and C. Piroddi and J. Steenbeek and J. Claudet and J. Lloret and A. Cal\`{o} and A. Di Franco and T. Font and A. Ligas},

year  = {2020},

date = {2020-01-01},

journal = {Ocean \& Coastal Management},

volume = {193},

pages = {105232},

note = {Publisher: Elsevier},

keywords = {ecosystem, fisheries management, local study, Marine protected areas (MPA)},

pubstate = {published},

tppubtype = {article}

}

@article{tierney_modelling_2018,

title = {Modelling marine trophic transfer of radiocarbon (14C) from a nuclear facility},

author = {K. M. Tierney and J. J. Heymans and G. K. P. Muir and G. T. Cook and J. Buszowski and J. Steenbeek and W. J. Walters and V. Christensen and G. MacKinnon and A. J. A. Howe and S. Xu},

url = {https://www.sciencedirect.com/science/article/pii/S1364815217306163},

doi = {10.1016/j.envsoft.2018.01.013},

issn = {1364-8152},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Environmental Modelling \& Software},

volume = {102},

pages = {138--154},

abstract = {Sellafield marine discharges of 14C are the largest contributor to the global collective dose from the nuclear fuel industry. As such, it is important to understand the fate of these discharges beyond the limitations and scope of empirical analytical investigations for this highly mobile radioactive contaminant. Ecopath with Ecosim (EwE) is widely used to model anthropogenic impacts on ecosystems, such as fishing, although very few EwE studies have modelled the fate of bioavailable contaminants. This work presents, for the first time, a spatial-temporal 14C model utilising recent developments in EwE software to predict the ecological fate of anthropogenic 14C in the marine environment. The model predicted observed trends in 14C activities between different species and through time. It also provided evidence for the integration of Sellafield 14C in species at higher trophic levels through time.},

keywords = {Ecopath with Ecosim, Ecotracer, local study, Radioactive discharges, Radiocarbon (14C), Sellafield},

pubstate = {published},

tppubtype = {article}

}

@article{halouani_fishing_2015,

title = {Fishing impact in Mediterranean ecosystems: an EcoTroph modelling approach},

author = {G. Halouani and D. Gascuel and T. Hattab and F. Ben Rais Lasram and M. Coll and K. Tsagarakis and C. Piroddi and M. Salah Romdhane and F. Le Loc’h},

year  = {2015},

date = {2015-01-01},

journal = {Journal of Marine Systems},

volume = {150},

pages = {22--33},

keywords = {EcoTroph, fisheries, local study, Mediterranean Sea},

pubstate = {published},

tppubtype = {article}

}