@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. Gon\c{c}alves 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{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{steenbeek_ecopath_2016,

title = {Ecopath with Ecosim as a model-building toolbox: Source code capabilities, extensions, and variations},

author = {J. Steenbeek and J. Buszowski and V. Christensen and E. Akoglu and K. Aydin and N. Ellis and D. Felinto and J. Guitton and S. Lucey and K. Kearney and S. Mackinson and M. Pan and M. Platts and C. J. Walters},

url = {http://www.sciencedirect.com/science/article/pii/S030438001500280X},

doi = {doi:10.1016/j.ecolmodel.2015.06.031},

issn = {0304-3800},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {Ecological Modelling},

volume = {319},

pages = {178--189},

abstract = {Ecopath with Ecosim (EwE) is a widely applied food web model that is mostly known as desktop software for the Microsoft Windows platform. The freely available Microsoft .NET source code of EwE, however, provides a range of possibilities to use the model in different ways, to customize and extend the model, and to execute the model on different operating systems. We provide an overview of the EwE source code, its philosophy, and its technical capabilities, targeted to model builders and advanced users of the EwE software. We showcase novel scientific applications of the EwE model that have been facilitated because of the modular approach of the system. We also present three additional versions of EwE that have been written in different computer languages for dedicated purposes. Lastly, we provide an entry point for users for obtaining and using the source code for custom purposes.},

keywords = {Ecopath with Ecosim, ecosystem, fisheries, food web, model interoperability, software development},

pubstate = {published},

tppubtype = {article}

}

@article{steenbeek_ecopath_2016b,

title = {Ecopath with Ecosim as a model-building toolbox: Source code capabilities, extensions, and variations},

author = {J. Steenbeek and J. Buszowski and V. Christensen and E. Akoglu and K. Aydin and N. Ellis and D. Felinto and J. Guitton and S. Lucey and K. Kearney and S. Mackinson and M. Pan and M. Platts and C. J. Walters},

url = {http://www.sciencedirect.com/science/article/pii/S030438001500280X},

doi = {10.1016/j.ecolmodel.2015.06.031},

issn = {0304-3800},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {Ecological Modelling},

volume = {319},

pages = {178--189},

keywords = {Ecopath with Ecosim, ecosystem, fisheries, Food web model, model interoperability, Open source software},

pubstate = {published},

tppubtype = {article}

}

@article{steenbeekEcopathEcosimModelbuilding2016,

title = {Ecopath with Ecosim as a Model-Building Toolbox: Source Code Capabilities, Extensions, and Variations},

author = {Jeroen Steenbeek and Joe Buszowski and Villy Christensen and Ekin Akoglu and Kerim Aydin and Nick Ellis and Dalai Felinto and Jerome Guitton and Sean Lucey and Kelly Kearney and Steven Mackinson and Mike Pan and Mark Platts and Carl Walters},

doi = {10.1016/j.ecolmodel.2015.06.031},

issn = {0304-3800},

year  = {2016},

date = {2016-01-01},

urldate = {2015-09-09},

journal = {Ecological Modelling},

volume = {319},

pages = {178\textendash189},

abstract = {Ecopath with Ecosim (EwE) is a widely applied food web model that is mostly known as desktop software for the Microsoft Windows platform. The freely available Microsoft .NET source code of EwE, however, provides a range of possibilities to use the model in different ways, to customize and extend the model, and to execute the model on different operating systems. We provide an overview of the EwE source code, its philosophy, and its technical capabilities, targeted to model builders and advanced users of the EwE software. We showcase novel scientific applications of the EwE model that have been facilitated because of the modular approach of the system. We also present three additional versions of EwE that have been written in different computer languages for dedicated purposes. Lastly, we provide an entry point for users for obtaining and using the source code for custom purposes.},

keywords = {Ecopath with Ecosim, ecosystem, fisheries, Food web model, model interoperability, Open source software},

pubstate = {published},

tppubtype = {article}

}

@article{christensen_fish_2014,

title = {Fish biomass in the world ocean: a century of decline},

author = {V. Christensen and M. Coll and C. Piroddi and J. Steenbeek and J. Buszowski and P. Daniel},

url = {http://digital.csic.es/handle/10261/46225},

doi = {10.3354/meps10946},

year  = {2014},

date = {2014-01-01},

urldate = {2012-06-22},

journal = {Marine Ecology Progress Series},

volume = {512},

keywords = {fisheries, global study, model interoperability},

pubstate = {published},

tppubtype = {article}

}