dc.contributor.author | Heymans, Johanna J | |
dc.contributor.author | Coll, Marta | |
dc.contributor.author | Link, Jason S | |
dc.contributor.author | Mackinson, Steven | |
dc.contributor.author | Steenbeek, Jeroen | |
dc.contributor.author | Walters, Carl | |
dc.contributor.author | Christensen, Villy | |
dc.date.accessioned | 2018-08-08T12:59:45Z | |
dc.date.available | 2018-08-08T12:59:45Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Heymans, J.J.; Coll, M.; Link, J.S.; Mackinson, S.; Steenbeek, J.; Walters,C. and Christensen. V. (2016) Best practice in Ecopath with Ecosim food-web models for ecosystem-based management. In: Ecopath 30 years - Modelling ecosystem dynamics: beyond boundaries with EwE. Ecological Modelling, 331, pp.173-84. DOI: 10.1016/j.ecolmodel.2015.12.007 | en_US |
dc.identifier.uri | http://hdl.handle.net/11329/498 | |
dc.identifier.uri | http://dx.doi.org/10.25607/OBP-80 | |
dc.description.abstract | Ecopath with Ecosim (EwE) models are easier to construct and use compared to most other ecosystem
modelling techniques and are therefore more widely used by more scientists and managers. This, how-
ever, creates a problem with quality assurance; to address this we provide an overview of best practices
for creating Ecopath models. We describe the diagnostics that can be used to check for thermodynamic
and ecological principles, and highlight principles that should be used for balancing a model. We then
highlight the pitfalls when comparing Ecopath models using Ecological Network Analysis indices. For
dynamic simulations in Ecosim we show the state of the art in calibrating the model by fitting it to time series using a formal fitting procedure and statistical goodness of fit. Finally, we show how Monte Carlo simulations can be used to address uncertainty in input parameters, and we discuss the use of models in a management context, specifically using the concept of ‘key runs’ for ecosystem-based management. This novel list of best practices for EwE models will enable ecosystem managers to evaluate the goodness of fit of the given EwE model to the ecosystem management question. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution-NoDerivs 3.0 IGO | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/igo/ | * |
dc.title | Best practice in Ecopath with Ecosim food-web models for ecosystem-based management. [In: Special Edition: Ecopath 30 years - Modelling ecosystem dynamics: beyond boundaries with EwE] | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | pp.173-184 | en_US |
dc.identifier.doi | 10.1016/j.ecolmodel.2015.12.007 | |
dc.subject.parameterDiscipline | Parameter Discipline::Fisheries and aquaculture | en_US |
dc.subject.parameterDiscipline | Parameter Discipline::Biological oceanography | en_US |
dc.subject.parameterDiscipline | Parameter Discipline::Cross-discipline | en_US |
dc.subject.parameterDiscipline | Parameter Discipline::Environment | en_US |
dc.subject.parameterDiscipline | Parameter Discipline::Terrestrial | en_US |
dc.subject.instrumentType | Instrument Type Vocabulary::Ocean models | en_US |
dc.subject.instrumentType | Instrument Type Vocabulary::Regional models | en_US |
dc.subject.dmProcesses | Data Management Practices::Data analysis | en_US |
dc.subject.dmProcesses | Data Management Practices::Data quality control | en_US |
dc.subject.dmProcesses | Data Management Practices::Data visualization | en_US |
dc.bibliographicCitation.title | Ecological Modelling | en_US |
dc.bibliographicCitation.volume | 331 | en_US |
dc.date.review | 2026 | |
dc.description.sdg | 14.1.1 | en_US |
dc.description.sdg | 14.2.1 | en_US |
dc.description.sdg | 14.4.1 | en_US |
dc.description.sdg | 14.5.1 | en_US |
dc.description.sdg | 14.6.1 | en_US |
dc.description.sdg | 14.7.1 | en_US |
dc.description.sdg | 2.3.1 | en_US |
dc.description.sdg | 2.3.2 | en_US |
dc.description.sdg | 2.c.1 | en_US |
dc.description.sdg | 3.9.2 | en_US |
dc.description.sdg | 3.9.3 | en_US |
dc.description.sdg | 6.3.2 | en_US |
dc.description.sdg | 6.6.1 | en_US |
dc.description.sdg | 8.2.1 | en_US |
dc.description.sdg | 8.3.1 | en_US |
dc.description.sdg | 8.4.1 | en_US |
dc.description.sdg | 9.3.1 | en_US |
dc.description.sdg | 12.2.1 | en_US |
dc.description.sdg | 12.3.1 | en_US |
dc.description.sdg | 12.4.1 | en_US |
dc.description.sdg | 15.2.1 | en_US |
dc.description.sdg | 15.1.2 | en_US |
dc.description.eov | oxygen | en_US |
dc.description.eov | nutrients | en_US |
dc.description.eov | inorganic carbon | en_US |
dc.description.eov | transient tracers | en_US |
dc.description.eov | stable carbon isotopes | en_US |
dc.description.eov | fish abundance and distribution | en_US |
dc.description.eov | marine turtles, birds, mammals abundance and distribution | en_US |
dc.description.maturitylevel | TRL 9 Actual system "mission proven" through successful mission operations (ground or space) | en_US |
dc.description.bptype | Best Practice | en_US |
obps.contact.contactname | Sheila JJ Heymans ORCID: 0000-0002-7290-8988 | |