@article{noleto-filho_new_2021,

title = {New, flexible and open-source fisheries self-reporting app: The Shiny4SelfReport},

author = {E. M. Noleto-Filho and R. Angelini and J. Steenbeek and A. Carvalho},

url = {https://www.sciencedirect.com/science/article/pii/S2352711021001254},

doi = {10.1016/j.softx.2021.100843},

issn = {2352-7110},

year  = {2021},

date = {2021-12-01},

urldate = {2021-12-01},

journal = {SoftwareX},

volume = {16},

pages = {100843},

keywords = {fisheries, Monitoring, R software, Self-reporting, Shiny apps, software development},

pubstate = {published},

tppubtype = {article}

}

@article{sadchatheeswaran_novel_2021,

title = {A novel approach to explicitly model the spatiotemporal impacts of structural complexity created by alien ecosystem engineers in a marine benthic environment},

author = {S. Sadchatheeswaran and G. M. Branch and L. J. Shannon and M. Coll and J. Steenbeek},

url = {https://www.sciencedirect.com/science/article/pii/S0304380021002830},

doi = {10.1016/j.ecolmodel.2021.109731},

issn = {0304-3800},

year  = {2021},

date = {2021-11-01},

urldate = {2021-11-01},

journal = {Ecological Modelling},

volume = {459},

pages = {109731},

keywords = {Ecoengineer, Ecopath with Ecosim, Ecospace, Ecosystem engineer, Intertidal, Invasive},

pubstate = {published},

tppubtype = {article}

}

@article{steenbeek_making_2021,

title = {Making spatial-temporal marine ecosystem modelling better – A perspective},

author = {J. Steenbeek and J. Buszowski and D. Chagaris and V. Christensen and M. Coll and E. A. Fulton and S. Katsanevakis and K. A. Lewis and A. D. Mazaris and D. Macias and K. de Mutsert and G. Oldford and M. Grazia Pennino and C. Piroddi and G. Romagnoni and N. Serpetti and Y-J Shin and M. A. Spence and V. Stelzenmüller},

url = {https://www.sciencedirect.com/science/article/pii/S1364815221002516},

doi = {10.1016/j.envsoft.2021.105209},

issn = {1364-8152},

year  = {2021},

date = {2021-11-01},

urldate = {2021-11-01},

journal = {Environmental Modelling & Software},

volume = {145},

pages = {105209},

keywords = {capacity building, EcoOcean, Opinion, spatial-temporal marine ecosystem modelling, systematic model calibration, systematic skill assessments},

pubstate = {published},

tppubtype = {article}

}

@article{tittensor_next-generation_2021,

title = {Next-generation ensemble projections reveal higher climate risks for marine ecosystems},

author = {D. P. Tittensor and C. Novaglio and C. S. Harrison and R. F. Heneghan and N. Barrier and D. Bianchi and L. Bopp and A. Bryndum-Buchholz and G. L. Britten and M. Büchner and W. W. L. Cheung and V. Christensen and M. Coll and J. P. Dunne and T. D. Eddy and J. D. Everett and J. A. Fernandes-Salvador and E. A. Fulton and E. D. Galbraith and D. Gascuel and J. Guiet and J. G. John and J. S. Link and H. K. Lotze and O. Maury and K. Ortega-Cisneros and J. Palacios-Abrantes and C. Petrik and H. Pontavice and J. Rault and A. J. Richardson and L. J. Shannon and Y-J Shin and J. Steenbeek and C. A. Stock and J. L. Blanchard},

url = {https://www.nature.com/articles/s41558-021-01173-9},

doi = {10.1038/s41558-021-01173-9},

issn = {1758-6798},

year  = {2021},

date = {2021-10-01},

urldate = {2021-10-01},

journal = {Nature Climate Change},

pages = {1--9},

note = {Bandiera_abtest: a Cc_license_type: cc_by Cg_type: Nature Research Journals Primary_atype: Research Publisher: Nature Publishing Group Subject_term: Climate-change ecology;Ecological modelling;Marine biology Subject_term_id: climate-change-ecology;ecological-modelling;marine-biology},

keywords = {Climate-change ecology, ecological modelling, EcoOcean, Marine biology},

pubstate = {published},

tppubtype = {article}

}

@article{depellegrin_current_2021,

title = {Current status, advancements and development needs of geospatial decision support tools for marine spatial planning in European seas},

author = {D. Depellegrin and H. Sten Hansen and L. Schrøder and L. Bergström and G. Romagnoni and J. Steenbeek and M. Gonçalves and G. Carneiro and L, Hammar and J. Pålsson and J. Schmidtbauer Crona and D. Hume and J. Kotta and M. Fetissov and A. Miloš and J. Kaitaranta and S. Menegon},

url = {https://www.sciencedirect.com/science/article/pii/S0964569121001289},

doi = {10.1016/j.ocecoaman.2021.105644},

issn = {0964-5691},

year  = {2021},

date = {2021-08-01},

urldate = {2021-08-01},

journal = {Ocean & Coastal Management},

volume = {209},

pages = {105644},

keywords = {Cumulative effects assessment, Decision support instruments, Ecosystem-based management, Geospatial tools, Maritime spatial planning},

pubstate = {published},

tppubtype = {article}

}

@article{heneghan_disentangling_2021,

title = {Disentangling diverse responses to climate change among global marine ecosystem models},

author = {R. F. Heneghan and E. D. Galbraith and J. L. Blanchard and C. Harrison and N. Barrier and C. Bulman and W. W. L. Cheung and M. Coll and T. D. Eddy and M. Erauskin-Extramiana and J. D. Everett and J. A. Fernandes-Salvador and D. Gascuel and J. Guiet and O. Maury and J. Palacios-Abrantes and C. Petrik and H. Pontavice and A. J. Richardson and J. Steenbeek and T. C. Tai and J. Volkholz and P. A. Woodworth-Jefcoats and D. P. Tittensor},

url = {https://www.sciencedirect.com/science/article/pii/S0079661121001440},

doi = {10.1016/j.pocean.2021.102659},

issn = {0079-6611},

year  = {2021},

date = {2021-08-01},

urldate = {2021-08-01},

journal = {Progress in Oceanography},

pages = {102659},

keywords = {Climatic change, EcoOcean, Fishery oceanography, FishMIP, Marine ecology, Modelling, Structural uncertainty},

pubstate = {published},

tppubtype = {article}

}

@article{albo-puigserver_changes_2021,

title = {Changes in Life History Traits of Small Pelagic Fish in the Western Mediterranean Sea},

author = {M. Albo-Puigserver and M. Grazia Pennino and J. M. Bellido and A. Isabel Colmenero and A. Giráldez and M. Hidalgo and J. G. Ramírez and J. Steenbeek and P. Torres and M. Cousido-Rocha and M. Coll},

url = {https://www.frontiersin.org/article/10.3389/fmars.2021.570354},

doi = {10.3389/fmars.2021.570354},

issn = {2296-7745},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Frontiers in Marine Science},

volume = {8},

pages = {1197},

keywords = {Ecosystem based management (EBM), fisheries, small pelagic fish, traits},

pubstate = {published},

tppubtype = {article}

}

@article{druon_mesoscale_2021,

title = {Mesoscale productivity fronts and local fishing opportunities in the European Seas},

author = {J. Druon and D. Gascuel and M. Gibin and A. Zanzi and J-M Fromentin and F. Colloca and P. Hélaouët and M. Coll and A. Mannini and J. K. Bluemel and C. Piroddi and F. Bastardie and D. Macias and P. Vasilakopoulos and H. Winker and N. Serpetti and J. Guillen and A. Palialexis and M. Gras and Z. Hekim and L. Dubroca and C. Pinto and J. Steenbeek and J. Martinsohn},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/faf.12585},

doi = {10.1111/faf.12585},

issn = {1467-2979},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Fish and Fisheries},

volume = {22},

number = {6},

pages = {1227--1247},

note = {_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/faf.12585},

keywords = {catches per unit of effort, chlorophyll-a gradient, landings per unit of effort, local-scale, Plankton-to-fish estimate, spatial fisheries management},

pubstate = {published},

tppubtype = {article}

}

@article{horn_food_2021,

title = {Food web models reveal potential ecosystem effects of seagrass recovery in the northern Wadden Sea},

author = {S. Horn and M. Coll and H. Asmus and T. Dolch},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/rec.13328},

doi = {10.1111/rec.13328},

issn = {1526-100X},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Restoration Ecology},

volume = {29},

number = {S2},

pages = {e13328},

note = {_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/rec.13328},

keywords = {Ecopath with Ecosim, ecosystem services, food webs, seagrass recovery, Wadden Sea, Zostera},

pubstate = {published},

tppubtype = {article}

}

@article{piroddi_effects_2021,

title = {Effects of Nutrient Management Scenarios on Marine Food Webs: A Pan-European Assessment in Support of the Marine Strategy Framework Directive},

author = {C. Piroddi and E. Akoglu and E. Andonegi and J. W. Bentley and I. Celić and M. Coll and D. Dimarchopoulou and R. Friedland and K. de Mutsert and R. Girardin and E. Garcia-Gorriz and B. Grizzetti and P. -Y. Hernvann and J. J. Heymans and B. Müller-Karulis and S. Libralato and C. P. Lynam and D. Macias and S. Miladinova and F. Moullec and A. Palialexis and O. Parn and N. Serpetti and C. Solidoro and J. Steenbeek and A. Stips and M. Tomczak and M. Travers-Trolet and A. C. Tsikliras},

url = {https://www.frontiersin.org/articles/10.3389/fmars.2021.596797/full},

doi = {10.3389/fmars.2021.596797},

issn = {2296-7745},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Frontiers in Marine Science},

volume = {8},

note = {Publisher: Frontiers},

keywords = {criteria, Ecological Indicators, ecological modelling, higher trophic level modelling, Hydrodynamic and biogeochemical modelling, hydrological modelling, policy support},

pubstate = {published},

tppubtype = {article}

}

@article{steenbeek_using_2021,

title = {Using Gaming Technology to Explore and Visualize Management Impacts on Marine Ecosystems},

author = {J. Steenbeek and D. Felinto and M. Pan and J. Buszowski and V. Christensen},

url = {https://www.frontiersin.org/articles/10.3389/fmars.2021.619541/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Marine_Science&id=619541},

doi = {10.3389/fmars.2021.619541},

issn = {2296-7745},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Frontiers in Marine Science},

volume = {8},

note = {Publisher: Frontiers},

keywords = {3D visualizations, Ecopath with Ecosim, Environmental decision support systems, Immersive Visualizations, Information overload, serious gaming},

pubstate = {published},

tppubtype = {article}

}

@article{puts_insights_2020b,

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

author = {M. Püts and M. Taylor and I. Núñez-Riboni and J. Steenbeek and M. Stäbler and C. Möllmann 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 = {2020-09-01},

urldate = {2020-09-01},

journal = {Ecological Modelling},

volume = {431},

pages = {109189},

keywords = {Ecopath with Ecosim, Ecospace, Food web model, Habitat capacity, Spatial-temporal framework, species distribution model},

pubstate = {published},

tppubtype = {article}

}

@article{vilas_effects_2020,

title = {The effects of marine protected areas on ecosystem recovery and fisheries using a comparative modelling approach},

author = {D. Vilas and M. Coll and X. Corrales and J. Steenbeek and C. Piroddi and A. Calò and A. Di Franco and T. Font and P. Guidetti and A. Ligas and J. Lloret and G. Prato and R. Sahyoun and P. Sartor and J. Claudet},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/aqc.3368},

doi = {10.1002/aqc.3368},

issn = {1099-0755},

year  = {2020},

date = {2020-08-14},

journal = {Aquatic Conservation: Marine and Freshwater Ecosystems},

abstract = {The overexploitation of many marine resources and ecosystems calls for the development and implementation of measures to support their recovery and conservation. The potential contributions to support fisheries and ecosystem recovery were assessed at the local level of the three multiple-use marine protected areas (MPAs) of Cerbère-Banyuls, Medes Islands, and Cap de Creus, located in the north-western Mediterranean Sea. For each MPA, a food-web model accounting for each protection level (PL) was developed: the fully protected area (FPA), the partially protected area (PPA) and the unprotected area (UPA) surrounding the MPA. Using the resulting nine food-web models, the ecosystem structure and functioning of each PL were compared and characterized, differences and similarities within and among the three MPAs were assessed, and ecosystem response to full protection was evaluated for the three MPAs. Differences in terms of ecosystem structure and functioning were found among PLs. Overall, FPAs presented the most positive effect of protection in terms of ecosystem structure and functioning, followed by PPAs. However, the effects of protection on neighbouring UPAs were hardly noticeable. Similarities between Cerbère-Banyuls and Medes Islands MPAs were observed, while Cap de Creus MPA showed the least benefits from protection overall. These results are likely to be due to similarities in the configuration of the protected areas, the levels of enforcement and compliance, and the impact of recreational and small-scale fisheries allowed in the PPAs and UPAs. This study illustrates that well-enforced Mediterranean MPAs, even when small, can yield local positive impacts on the structure and functioning of marine ecosystems that can contribute to support local fisheries.},

keywords = {Ecopath with Ecosim, local study, Marine protected areas (MPA), NW Mediterranean},

pubstate = {published},

tppubtype = {article}

}

@article{coll_advancing_2020,

title = {Advancing global ecological modelling capabilities to simulate future trajectories of change in marine ecosystems},

author = { M. Coll and J. Steenbeek and M. Grazia Pennino and J. Buszowski and K. Kaschner and H. K. Lotze and Y. Rousseau and D. P. Tittensor and C. J. Walters and R. Watson and V. Christensen},

url = {https://www.frontiersin.org/articles/10.3389/fmars.2020.567877/abstract},

doi = {10.3389/fmars.2020.567877},

issn = {2296-7745},

year  = {2020},

date = {2020-08-13},

urldate = {2020-08-13},

journal = {Frontiers in Marine Science},

volume = {7},

abstract = {Considerable effort is being deployed to predict the impacts of climate change and anthropogenic activities on the ocean’s biophysical environment, biodiversity, and natural resources to better understand how marine ecosystems and provided services to humans are likely to change and explore alternative pathways and options. We present an updated version of EcoOcean (v2), a spatial-temporal ecosystem modelling complex of the global ocean that spans food-web dynamics from primary producers to top predators. Advancements include an enhanced ability to reproduce spatial-temporal ecosystem dynamics by linking species productivity, distributions, and trophic interactions to the impacts of climate change and worldwide fisheries. The updated modelling platform is used to simulate past and future scenarios of change, where we quantify the impacts of alternative configurations of the ecological model, responses to climate-change scenarios, and the additional impacts of fishing. Climate-change scenarios are obtained from two Earth-System Models (ESMs, GFDL-ESM2M and IPSL-CMA5-LR) and two contrasting emission pathways (RCPs 2.6 and 8.5) for historical (1950-2005) and future (2006-2100) periods. Standardized ecological indicators and biomasses of selected species groups are used to compare simulations. Results show how future ecological trajectories are sensitive to alternative configurations of EcoOcean, and yield moderate differences when looking at ecological indicators and larger differences for biomasses of species groups. Ecological trajectories are also sensitive to environmental drivers from alternative ESM outputs and RCPs, and show spatial variability and more severe changes when IPSL and RCP 8.5 are used. Under a non-fishing configuration, larger organisms show decreasing trends, while smaller organisms show mixed or increasing results. Fishing intensifies the negative effects predicted by climate change, again stronger under IPSL and RCP 8.5, which results in stronger biomass declines for species already losing under climate change, or dampened positive impacts for those increasing. Several species groups that win under climate change become losers under combined impacts, while only a few (small benthopelagic fish and cephalopods) species are projected to show positive biomass changes under cumulative impacts. EcoOcean v2 can contribute to the quantification of cumulative impact assessments of multiple stressors and of plausible ocean-based solutions to prevent, mitigate and adapt to global change.},

note = {Publisher: Frontiers},

keywords = {EcoOcean, futures scenarios, global study, internal hypotheses},

pubstate = {published},

tppubtype = {article}

}

@article{10.3389/fmars.2020.00622,

title = {Current and Future Influence of Environmental Factors on Small Pelagic Fish Distributions in the Northwestern Mediterranean Sea},

author = {M. Grazia-Pennino and M. Coll and M. Albo-Puigserver and E. Fernández-Corredor and J. Steenbeek and A. Giráldez and M. González and A. Esteban and J. M. Bellido},

url = {https://www.frontiersin.org/article/10.3389/fmars.2020.00622},

doi = {10.3389/fmars.2020.00622},

issn = {2296-7745},

year  = {2020},

date = {2020-07-24},

journal = {Frontiers in Marine Science},

volume = {7},

pages = {622},

abstract = {In the Northwestern Mediterranean Sea, the European sardine (Sardina pilchardus) and the European anchovy (Engraulis encrasicolus) are the most important small pelagic fish in terms of biomass and commercial interest. During the last years, these species have experimented changes in their abundance and biomass trends in the Northwestern Mediterranean Sea, in addition to changes in growth, reproduction and body condition. These species are particularly sensitive to environmental fluctuations with possible cascading effects as they play a key role in connecting the lower and upper trophic levels of marine food webs. It is therefore essential to understand the factors that most profoundly affect sardine and anchovy dynamics. This study used a two-step approach to understand how the environment influences the adult stages of these species in the Northwestern Mediterranean Sea. First, we explored the effects of environmental change over time using Random Forests and available datasets of species occurrence, abundance, biomass and landings. We then applied species distribution models to test the impact of the extreme pessimistic and optimistic Intergovernmental Panel on Climate Change (IPCC) pathway scenarios, and to identify possible climate refuges: areas where these species may be able to persist under future environmental change. Findings from the temporal modeling showed mixed effects between environmental variables and for anchovy and sardine datasets. Future pathway projections highlight that both anchovy and sardine will undergo a reduction in their spatial distributions due to future climate conditions. The future climate refuges are the waters around the Rhone River (France) and the Ebro River (Spain) for both species. This study also highlights important knowledge gaps in our understanding of the dynamics of small pelagic fish in the region, which is needed to progress towards an ecosystem approach to fisheries management.},

keywords = {Bayesian model, niche modelling, NW Mediterranean, regional study, small pelagic fish},

pubstate = {published},

tppubtype = {article}

}

@article{pennino_discard_2020,

title = {Discard ban: A simulation-based approach combining hierarchical Bayesian and food web spatial models},

author = {M. Grazia Pennino and A. H. Bevilacqua and M. Angeles Torres and J. M. Bellido and J. Sole and J. Steenbeek and M. Coll},

url = {https://www.sciencedirect.com/science/article/pii/S0308597X18307954},

doi = {10.1016/j.marpol.2019.103703},

issn = {0308-597X},

year  = {2020},

date = {2020-06-01},

urldate = {2020-06-01},

journal = {Marine Policy},

volume = {116},

pages = {103703},

keywords = {Bayesian model, Discards, Ecospace, Food web model, Landing obligation, Mediterranean Sea, spatial ecology},

pubstate = {published},

tppubtype = {article}

}

@article{steenbeek_combining_2020b,

title = {Combining ecosystem modeling with serious gaming in support of transboundary maritime spatial planning},

author = {J. Steenbeek and G. Romagnoni and J. W. Bentley and J. J. Heymans and N. Serpetti and M. Gonçalves and C. Santos and H. Warmelink and I. Mayer and X. Keijser and R. Fairgrieve and L. Abspoel},

url = {https://www.ecologyandsociety.org/vol25/iss2/art21/},

doi = {10.5751/ES-11580-250221},

issn = {1708-3087},

year  = {2020},

date = {2020-06-01},

urldate = {2020-06-01},

journal = {Ecology and Society},

volume = {25},

number = {2},

note = {Publisher: The Resilience Alliance},

keywords = {Ecospace, Ocean Decade, science-policy interface, serious gaming, stakeholder involvement},

pubstate = {published},

tppubtype = {article}

}

@article{metian_mapping_2020,

title = {Mapping diversity of species in global aquaculture},

author = {M. Metian and M. Troell and V. Christensen and J. Steenbeek and S. Pouil},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/raq.12374},

doi = {10.1111/raq.12374},

issn = {1753-5123, 1753-5131},

year  = {2020},

date = {2020-05-01},

urldate = {2020-06-30},

journal = {Reviews in Aquaculture},

volume = {12},

number = {2},

pages = {1090--1100},

abstract = {Aquaculture is the world’s most diverse farming practice in terms of number of species, farming methods and environments used. While various organizations and institutions have promoted species diversification, overall species diversity within the aquaculture industry is likely not promoted nor sufficiently well quantified. Using the most extensive dataset available (FAO-statistics) and an approach based on the Shannon Diversity index, this paper provides a method for quantifying and mapping global aquaculture species diversity. Although preliminary analyses showed that a large part of the species forming production is still qualified as undetermined species (i.e. ‘not elsewhere included’); results indicate that usually high species diversity for a country is associated with a higher production but there are considerable differences between countries. Nine of the top 10 countries ranked highest by Shannon Diversity index in 2017 are from Asia with China producing the most diverse collection of species. Since species diversity is not the only level of diversity in production, other types of diversity are also briefly discussed. Diversifying aquatic farmed species can be of importance for long-term performance and viability of the sector with respect to sustaining food production under (sometimes abrupt) changing conditions. This can be true both at the global and regional level. In contrast, selection and focus on only a limited number of species can lead to rapid improvements in terms of production (towards sustainability or not) and profitability. Therefore, benefits and shortcomings of diversity are discussed from both economical and social-ecological perspectives that concurrently are shaping the expanding aquaculture industry.},

keywords = {aquaculture, biodiversity, global study},

pubstate = {published},

tppubtype = {article}

}

@article{vilas_current_2020,

title = {Current and potential contributions of the Gulf of Lion Fisheries Restricted Area to fisheries sustainability in the NW Mediterranean Sea},

author = {D. Vilas and M. Coll and X. Corrales and J. Steenbeek and C. Piroddi and D. Macias and A. Ligas and P. Sartor and J. Claudet},

url = {https://www.biorxiv.org/content/10.1101/2020.02.22.960914v1.abstract},

doi = {10.1101/2020.02.22.960914 },

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {bioRxiv},

abstract = {Many commercial species of the world are overexploited resulting in substantial reductions of biomass and ecological changes. Spatial-temporal restrictions of fishing activities are important measures used for the management of marine stocks. However, evidence of whether fishing bans benefit whole ecosystems is still scant. Here, we developed a food-web model approach using the Ecopath with Ecosim (EwE) model representing the Fisheries Restricted Area (FRA) of the Gulf of Lion ecosystem (CoSEGoL model) prior to the establishment of the fisheries restrictions (2006-2008) to characterize the structure and functioning of the ecosystem before and after its establishment. The constructed food-web model was, then, fitted to available time series of data from 2008 to 2016 to verify whether this FRA has contributed to recovery of target demersal species and the demersal community. The fitted model was used to explore alternative future management scenarios to explore feasible management options in order to ensure a full ecosystem recovery under climate change conditions. Both small positive and negative ecosystem changes occurred between prior and after the establishment of the FRA, potentially revealing a lack of protection efficiency and/or enforcement. Scenarios of management options under plausible climate futures revealed possible recovery of targeted species, especially European hake. The study highlighted the importance of considering trophic interactions between predators and prey to identify trade-offs and synergies in fisheries management outcomes and the need to consider both fishing and climate dynamics.},

note = {Publisher: Cold Spring Harbor Laboratory},

keywords = {fisheries management, Gulf of Lion, Marine protected areas (MPA), NW Mediterranean, regional study},

pubstate = {published},

tppubtype = {article}

}

@article{santos_digital_2020,

title = {A Digital Game-Based Simulation Platform for Integrated Marine Spatial Planning: Design Challenges and Technical Innovations},

author = {C. Santos and H. Warmelink and W. Boode and P. de Groot and K. Hutchinson and M. Gonçalves and J. Steenbeek and I. Mayer},

url = {https://www.thejot.net/article-preview/},

year  = {2020},

date = {2020-01-01},

urldate = {2020-06-19},

journal = {The Journal of Ocean Technology},

volume = {15},

number = {2},

pages = {78--100},

abstract = {The 2014 European Union (EU) Directive on maritime spatial planning (MSP) lays down obligations for the EU member states to establish a maritime planning process, resulting in a maritime spatial plan by March 31, 2021. The EU Directive defines key principles for planning, such as evidence-based and stakeholder-oriented, for which integrative planning support systems (PSS) are needed. The main objective of the research is to contribute to the understanding and innovation of planning support systems through the use of game technology and game principles. The MSP Challenge simulation platform has been designed for participative integrated assessment (PIA) and social learning. The authors present the design and engineering challenges as well as the five innovative technical solutions of the platform: a modular client-server architecture with a Unity-based client; incorporating a large volume and variety of geospatial, marine, and maritime data; interconnecting with the ecosystem modelling platform Ecopath with Ecosim (EwE); interconnecting with simulators for shipping and energy; and providing technical functionalities to set up and moderate highly interactive multi-player game sessions. The authors discuss lessons learned and provide directions for future research and development for both the MSP Challenge simulation platform and maritime planning support systems at large.},

note = {Library Catalog: www.thejot.net},

keywords = {Ecospace, model interoperability, MSP, niche modelling, science-policy interface, serious gaming, software development},

pubstate = {published},

tppubtype = {article}

}

@article{puts_insights_2020,

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

author = {M. Püts and M. Taylor and I. Núñez-Riboni and J. Steenbeek and M. Stäbler and C. Möllmann 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{booth_ecopath_2020,

title = {An Ecopath with Ecosim model for the Pacific coast of eastern Japan: Describing the marine environment and its fisheries prior to the Great East Japan earthquake},

author = {S. Booth and W. J. Walters and J. Steenbeek and V. Christensen and S. Charmasson},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Ecological Modelling},

volume = {428},

pages = {109087},

note = {Publisher: Elsevier},

keywords = {contaminant tracing, Ecospace, fisheries, historical changes, Japan, regional study},

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. Calò 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{corrales_advances_2020,

title = {Advances and challenges in modelling the impacts of invasive alien species on aquatic ecosystems},

author = {X. Corrales and S. Katsanevakis and M. Coll and J. J. Heymans and C. Piroddi and E. Ofir and G. Gal},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Biological Invasions},

pages = {1--28},

note = {Publisher: Springer},

keywords = {climate change impacts, Eastern Mediterranean, Ecospace, invasive species},

pubstate = {published},

tppubtype = {article}

}

@article{heymans_ocean_2020b,

title = {The Ocean Decade: A True Ecosystem Modeling Challenge},

author = {J. J. Heymans and A. Bundy and V. Christensen and M. Coll and K. de Mutsert and E. A. Fulton and C. Piroddi and Y-J Shin and J. Steenbeek and M. Travers-Trolet},

url = {https://www.frontiersin.org/articles/10.3389/fmars.2020.554573/full?utm_source=F-NTF&utm_medium=EMLX&utm_campaign=PRD_FEOPS_20170000_ARTICLE},

doi = {10.3389/fmars.2020.554573},

issn = {2296-7745},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Frontiers in Marine Science},

volume = {7},

note = {Publisher: Frontiers},

keywords = {Climate Change, Ecosystem based management (EBM), ecosystem modelling, Ocean Decade, Sustainable development goals (SDG)},

pubstate = {published},

tppubtype = {article}

}

@article{katsanevakis_twelve_2020,

title = {Twelve Recommendations for Advancing Marine Conservation in European and Contiguous Seas},

author = {S. Katsanevakis and M. Coll and S. Fraschetti and S. Giakoumi and D. Goldsborough and V. Mačić and P. Mackelworth and G. Rilov and V. Stelzenmüller and P. G. Albano and A. E. Bates and S. Bevilacqua and E. Gissi and V. Hermoso and A. D. Mazaris and C. Pita and V. Rossi and Y. Teff-Seker and K. Yates},

url = {https://www.frontiersin.org/articles/10.3389/fmars.2020.565968/full},

doi = {10.3389/fmars.2020.565968},

issn = {2296-7745},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Frontiers in Marine Science},

volume = {7},

note = {Publisher: Frontiers},

keywords = {Conservation Planning, Cumulative impact assessment, global change, invasive species, MPAs, Natura 2000, risk management, transboundary collaboration},

pubstate = {published},

tppubtype = {article}

}

@article{pennino_current_2020,

title = {Current and Future Influence of Environmental Factors on Small Pelagic Fish Distributions in the Northwestern Mediterranean Sea},

author = {M. Grazia Pennino and M. Coll and M. Albo-Puigserver and E. Fernández-Corredor and J. Steenbeek and A. Giráldez and M. González and A. Esteban and J. M. Bellido},

url = {https://www.frontiersin.org/articles/10.3389/fmars.2020.00622/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Marine_Science&id=566340},

doi = {10.3389/fmars.2020.00622},

issn = {2296-7745},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Frontiers in Marine Science},

volume = {7},

note = {Publisher: Frontiers},

keywords = {Climate changes, climate refuges, futures scenarios, NW Mediterranean, Small pelagic fishes, species distribution model},

pubstate = {published},

tppubtype = {article}

}

@article{ramirez_sos_2020,

title = {SOS small pelagics: a Safe Operating Space for small pelagic fish in the Western Mediterranean Sea},

author = {F. Ramírez and M. Grazia Pennino and M. Albo-Puigserver and J. Steenbeek and J. M. Bellido and M. Coll},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Science of The Total Environment},

pages = {144002},

note = {Publisher: Elsevier},

keywords = {climate change impacts, fisheries management, safe operating space (SOS), small pelagic fish, western Mediterranean sea},

pubstate = {published},

tppubtype = {article}

}

@article{shannon_exploring_2020,

title = {Exploring temporal variability in the Southern Benguela ecosystem over the past four decades using a time-dynamic ecosystem model},

author = {L. J. Shannon and K. Ortega-Cisneros and T. Lamont and H. Winker and R. Crawford and A. Jarre and M. Coll},

doi = {10.3389/fmars.2020.00540},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

note = {Publisher: Frontiers Media},

keywords = {Ecopath with Ecosim, Southern benguela},

pubstate = {published},

tppubtype = {article}

}

@article{vilas_effects_2020b,

title = {The effects of marine protected areas on ecosystem recovery and fisheries using a comparative modelling approach},

author = {D. Vilas and M. Coll and X. Corrales and J. Steenbeek and C. Piroddi and A. Calò and A. Di Franco and T. Font and P. Guidetti and A. Ligas and J. Lloret and G. Prato and R. Sahyoun and P. Sartor and J. Claudet},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/aqc.3368},

doi = {10.1002/aqc.3368},

issn = {1099-0755},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Aquatic Conservation: Marine and Freshwater Ecosystems},

volume = {30},

number = {10},

pages = {1885--1901},

note = {_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/aqc.3368},

keywords = {Ecopath with Ecosim, fully protected areas, Management units, north-west Mediterranean Sea, partially protected areas, protection levels},

pubstate = {published},

tppubtype = {article}

}

@article{coll_predicting_2019,

title = {Predicting marine species distributions: Complementarity of food-web and Bayesian hierarchical modelling approaches},

author = {M. Coll and M. Grazia-Pennino and J. Steenbeek and J. Sole and J. M. Bellido},

url = {http://www.sciencedirect.com/science/article/pii/S030438001930170X},

doi = {10.1016/j.ecolmodel.2019.05.005},

issn = {0304-3800},

year  = {2019},

date = {2019-08-01},

urldate = {2019-08-01},

journal = {Ecological Modelling},

volume = {405},

pages = {86--101},

abstract = {The spatial prediction of species distributions from survey data is a significant component of spatial planning and the ecosystem-based management approach to marine resources. Statistical analysis of species occurrences and their relationships with associated environmental factors is used to predict how likely a species is to occur in unsampled locations as well as future conditions. However, it is known that environmental factors alone may not be sufficient to account for species distribution. Other ecological processes including species interactions (such as competition and predation), and the impact of human activities, may affect the spatial arrangement of a species. Novel techniques have been developed to take a more holistic approach to estimating species distributions, such as Bayesian Hierarchical Species Distribution model (B-HSD model) and mechanistic food-web models using the new Ecospace Habitat Foraging Capacity model (E-HFC model). Here we used both species distribution and spatial food-web models to predict the distribution of European hake (Merluccius merluccius), anglerfishes (Lophius piscatorius and L. budegassa) and red mullets (Mullus barbatus and M. surmuletus) in an exploited marine ecosystem of the Northwestern Mediterranean Sea. We explored the complementarity of both approaches, comparing results of food-web models previously informed with species distribution modelling results, aside from their applicability as independent techniques. The study shows that both modelling results are positively and significantly correlated with observational data. Predicted spatial patterns of biomasses show positive and significant correlations between modelling approaches and are more similar when using both methodologies in a complementary way: when using the E-HFC model previously informed with the environmental envelopes obtained from the B-HSD model outputs, or directly using niche calculations from B-HSD models to drive the niche priors of E-HFC. We discuss advantages, limitations and future developments of both modelling techniques.},

keywords = {Bayesian model, Ecospace, fisheries, food web, Mediterranean Sea, model interoperability, regional study, spatial ecology, species distributions},

pubstate = {published},

tppubtype = {article}

}

@article{giovos_human_2019b,

title = {Human Activities Help Alien Species to Invade the Mediterranean Sea},

author = {I. Giovos and S. Katsanevakis and M Coll and C. Piroddi and J. Steenbeek and F. B. Lasram and A. C. Cardoso},

url = {https://kids.frontiersin.org/article/10.3389/frym.2019.00097},

doi = {10.3389/frym.2019.00097},

year  = {2019},

date = {2019-07-01},

urldate = {2019-07-01},

journal = {Frontiers for Young Minds},

volume = {7},

number = {97},

keywords = {climate change impacts, invasive species, Mediterranean Sea},

pubstate = {published},

tppubtype = {article}

}

@article{bevilacqua_following_2019b,

title = {Following the Fish: The Role of Subsistence in a Fish-based Value Chain},

author = {A. H. Bevilacqua and R. Angelini and J. Steenbeek and V. Christensen and A. R. Carvalho},

url = {http://www.sciencedirect.com/science/article/pii/S0921800917309564},

doi = {10.1016/j.ecolecon.2019.02.004},

issn = {0921-8009},

year  = {2019},

date = {2019-05-01},

urldate = {2019-05-01},

journal = {Ecological Economics},

volume = {159},

pages = {326--334},

keywords = {Intake value, Landed value, Local consumers, small-scale fisheries, tourism, Value chain analyses},

pubstate = {published},

tppubtype = {article}

}

@article{lotze_global_2019,

title = {Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change},

author = {H. K. Lotze and D. P. Tittensor and A. Bryndum-Buchholz and T. D. Eddy and W. W. L. Cheung and E. D. Galbraith and M. Barange and N. Barrier and D. Bianchi and J. Blanchard and L. Bopp and M. Büchner and C. Bulman and D. Carozza and V. Christensen and M. Coll and J. P. Dunne and E. A. Fulton and S. Jennings and M. Jones and S. Mackinson and O. Maury and S. Niiranen and R. Oliveros-Ramos and T. Roy and J. A. Fernandes and J. Schewe and Y-J Shin and T. Silva and J. Steenbeek and C. A. Stock and P. Verley and J. Volkholz and N. D. Walker and B. Worm},

url = {https://www.pnas.org/content/early/2019/06/10/1900194116},

doi = {10.1073/pnas.1900194116},

issn = {0027-8424, 1091-6490},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Proceedings of the National Academy of Sciences},

pages = {201900194},

abstract = {While the physical dimensions of climate change are now routinely assessed through multimodel intercomparisons, projected impacts on the global ocean ecosystem generally rely on individual models with a specific set of assumptions. To address these single-model limitations, we present standardized ensemble projections from six global marine ecosystem models forced with two Earth system models and four emission scenarios with and without fishing. We derive average biomass trends and associated uncertainties across the marine food web. Without fishing, mean global animal biomass decreased by 5% (±4% SD) under low emissions and 17% (±11% SD) under high emissions by 2100, with an average 5% decline for every 1 °C of warming. Projected biomass declines were primarily driven by increasing temperature and decreasing primary production, and were more pronounced at higher trophic levels, a process known as trophic amplification. Fishing did not substantially alter the effects of climate change. Considerable regional variation featured strong biomass increases at high latitudes and decreases at middle to low latitudes, with good model agreement on the direction of change but variable magnitude. Uncertainties due to variations in marine ecosystem and Earth system models were similar. Ensemble projections performed well compared with empirical data, emphasizing the benefits of multimodel inference to project future outcomes. Our results indicate that global ocean animal biomass consistently declines with climate change, and that these impacts are amplified at higher trophic levels. Next steps for model development include dynamic scenarios of fishing, cumulative human impacts, and the effects of management measures on future ocean biomass trends.},

keywords = {climate change impacts, EcoOcean, ensemble modelling, Fish-MIP, food web, global study, model intercomparison, uncertainty},

pubstate = {published},

tppubtype = {article}

}

@article{bevilacqua_following_2019,

title = {Following the Fish: The Role of Subsistence in a Fish-based Value Chain},

author = {A. H. Bevilacqua and R. Angelini and J. Steenbeek and V. Christensen and A. R. Carvalho},

url = {http://www.sciencedirect.com/science/article/pii/S0921800917309564},

doi = {10.1016/j.ecolecon.2019.02.004},

issn = {0921-8009},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Ecological Economics},

volume = {159},

pages = {326--334},

abstract = {This study evaluated the socioeconomic benefits generated by the small-scale fisheries sector based on a socio-economic modeling approach using the value chain plugin in the Ecopath with Ecosim (EwE) software system. Based on an EwE ecosystem model for the Baía Formosa area in Rio Grande do Norte State (Northeast Brazil), a value chain with 14 components was described, including four producers (divided by vessel size categories: sailboat, small, medium, and large engine boat), four processors and distributors, two retailers (in two categories, street markets and restaurants), and three different final consumers (local consumers, subsistence, and tourism). The data was obtained through face-to-face interviews (n = 154) performed between February and November 2014 using the snowball method and tracking the fish around nearby cities. The total revenue from the primary producers (i.e. fishers) was estimated to be US$11 million in 2014. All sectors (including sellers and retailers) encompassed about US$ 44.5 million per year, contributing around US$ 16 million to the GDP. Overall, the price per ton increased three times from it was landed, while employment generation on land was twice that found at sea. Local consumers obtained roughly 66% of production, while subsistence fishers consumed 28% of what was caught. The lowest portion went to tourist consumption (6%). Fish production flowed to local markets and fishers' tables, revealing a clear bias toward the consumption of seafood by local dwellers and the subsistence of local fishers. Few studies have quantified the role of small-scale fishing in providing household income, job creation, and contribution to the GDP. By neglecting such economic and social reliance on natural resource conservation and under the current lack of conservation policies, not only may overfishing become a threat to fishers, but policy makers, managers, and users may inadvertently compromise the continuation of the activity.},

keywords = {fisheries yield, local study, regional study, small-scale fisheries, tourism, value chain},

pubstate = {published},

tppubtype = {article}

}

@article{schewe_state---art_2019,

title = {State-of-the-art global models underestimate impacts from climate extremes},

author = {J. Schewe and S. N. Gosling and C. Reyer and F. Zhao and P. Ciais and J. Elliott and L. Francois and V. Huber and H. K. Lotze and S. Seneviratne and M. T. H. van Vliet and R. Vautard and Y. Wada and L. Breuer and M. Büchner and D. A. Carozza and J. Chang and M. Coll and D. Deryng and A. de Wit and T. D. Eddy and C. Folberth and K. Frieler and A. D. Friend and D. Gerten and L. Gudmundsson and N. Hanasaki and A. Ito and N. Khabarov and H. Kim and P. Lawrence and C. Morfopoulos and C. Müller and H. Müller Schmied and R. Orth and S. Ostberg and Y. Pokhrel and T. A. M. Pugh and G. Sakurai and Y. Satoh and E. Schmid and T. Stacke and J. Steenbeek and J. Steinkamp and Q. Tang and H. Tian and D. P. Tittensor and J. Volkholz and X. Wang and L. Warszawski },

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Nature Communications},

keywords = {climate change impacts, EcoOcean, ensemble modelling, Fish-MIP, futures scenarios, global study},

pubstate = {published},

tppubtype = {article}

}

@article{bryndum-buchholz_21st_2019,

title = {21st century climate change impacts on marine animal biomass and ecosystem structure across ocean basins},

author = {A. Bryndum-Buchholz and D. P. Tittensor and J. L. Blanchard and W. W. L. Cheung and M. Coll and E. D. Galbraith and S. Jennings and O. Maury and H. K. Lotze},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Global Change Biology},

volume = {https://doi.org/10.1111/gcb.14512},

note = {Type: Journal Article},

keywords = {climate change impacts, EcoOcean, ensemble modelling, futures scenarios, global study},

pubstate = {published},

tppubtype = {article}

}

@article{dubois_recovery_2019,

title = {Recovery debts can be revealed by ecosystem network-based approaches},

author = {M. Dubois and D. Gascuel and M. Coll and J. Claudet},

doi = {10.1007/s10021-018-0294-5},

year  = {2019},

date = {2019-01-01},

journal = {Ecosystems},

volume = {22},

pages = {658–676},

abstract = {Ecosystems are increasingly disturbed by natural disturbances and human stressors. Understanding how a disturbance can propagate through an entire ecosystem and how induced changes can last after apparent recovery is key to guide management and ecosystem restoration strategies. Monitoring programs and impact assessment studies rely mostly on indicators based only on species relative abundance and biomass, potentially misinforming management efforts. Impacts on ecosystem structure and functioning, and subsequent delivery of ecosystem services, are too often overlooked. Here we use an ecosystem network approach to assess the recovery pathway and potential recovery debts of a coral reef ecosystem, following a pulse disturbance. We show that although species abundance and biomass indicators recovered in a decade after the perturbation, the ecosystem as a whole presented a recovery debt. The ecosystem structure lost complexity (became “food chain like”) and lost about 29% of its overall cycling efficiency and 9% of its transfer efficiency. Although the ecosystem trophic network in the fore reef may have maintained its general functioning, the ecosystem network in the lagoon, not directly exposed to the disturbance, presented a stronger recovery debt. Our results give new insights on how ecosystem network approaches can help identify ecosystem impacts and recovery pathways.},

note = {Type: Journal Article},

keywords = {climate change impacts, connectivity, coral reef, human impacts, network analysis, recovery},

pubstate = {published},

tppubtype = {article}

}

@article{schewe_state---art_2019b,

title = {State-of-the-art global models underestimate impacts from climate extremes},

author = {J. Schewe and S. Gosling and C. Reyer and F. Zhao and P. Ciais and J. Elliott and L. Francois and V. Huber and H. Lotze and S. Seneviratne},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Nature Communications},

keywords = {climate change impacts, EcoOcean, ensemble modelling},

pubstate = {published},

tppubtype = {article}

}

@article{tittensor_protocol_2018b,

title = {A protocol for the intercomparison of marine fishery and ecosystem models: Fish-MIP v1.0},

author = {D. P. Tittensor and T. D. Eddy and H. K. Lotze and E. D. Galbraith and W. W. L. Cheung and M. Barange and J. L. Blanchard and L. Bopp and A. Bryndum-Buchholz and M. Büchner and C. Bulman and D. A. Carozza and V. Christensen and M. Coll and J. P. Dunne and J. A. Fernandes and E. A. Fulton and A. J. Hobday and V. Huber and S. Jennings and M. Jones and P. Lehodey and J. S. Link and S. Mackinson and O. Maury and S. Niiranen and R. Oliveros-Ramos and T. Roy and J. Schewe and Y-J Shin and T. Silva and C. A. Stock and J. Steenbeek and P. J. Underwood and J. Volkholz and J. R. Watson and N. D. Walker},

url = {https://www.geosci-model-dev.net/11/1421/2018/},

doi = {10.5194/gmd-11-1421-2018},

issn = {1991-9603},

year  = {2018},

date = {2018-04-01},

urldate = {2018-04-01},

journal = {Geosci. Model Dev.},

volume = {11},

number = {4},

pages = {1421--1442},

keywords = {EcoOcean},

pubstate = {published},

tppubtype = {article}

}

@article{steenbeek_ecosampler:_2018,

title = {Ecosampler: A new approach to assessing parameter uncertainty in Ecopath with Ecosim},

author = {J. Steenbeek and X. Corrales and M. Platts and M. Coll},

url = {http://www.sciencedirect.com/science/article/pii/S2352711018300803},

doi = {10.1016/j.softx.2018.06.004},

issn = {2352-7110},

year  = {2018},

date = {2018-01-01},

urldate = {2018-07-13},

journal = {SoftwareX},

volume = {7},

number = {C},

pages = {198--204},

abstract = {The widely used Ecopath with Ecosim (EwE) food web modelling approach has been extended with a new module to measure the impact of input parameter sensitivity on its results. Ecosampler records samples – alternate mass-balanced parameter sets for a food web model – from the built-in Monte Carlo routine, and replays these samples through all of EwE modules and any loaded plug-in. Via Ecosampler, output variation due to base input parameter sensitivity can be captured, of any computational component including the temporal module Ecosim, the spatial–temporal module Ecospace, and plug-ins such as Ecological Network Analysis, Value Chain, and Ecological Indicators.},

keywords = {Ecopath with Ecosim, Ecosampler, input parameter sensitivity},

pubstate = {published},

tppubtype = {article}

}