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Uses of innovative modeling tools within the implementation of the marine strategy framework directive

Lynam, Christopher P.; Uusitalo, Laura; Patrício, Joana; Piroddi, Chiara; Queirós, Ana M.; Teixeira, Heliana; Rossberg, Axel G.; Sagarminaga, Yolanda; Hyder, Kieran; Niquil, Nathalie; Möllmann, Christian; Wilson, Christian; Chust, Guillem; Galparsoro, Ibon; Forster, Rodney; Veríssimo, Helena; Tedesco, Letizia; Revilla, Marta; Neville, Suzanna

Authors

Christopher P. Lynam

Laura Uusitalo

Joana Patrício

Chiara Piroddi

Ana M. Queirós

Heliana Teixeira

Axel G. Rossberg

Yolanda Sagarminaga

Kieran Hyder

Nathalie Niquil

Christian Möllmann

Christian Wilson

Guillem Chust

Ibon Galparsoro

Helena Veríssimo

Letizia Tedesco

Marta Revilla

Suzanna Neville



Abstract

© 2016 Lynam, Uusitalo, Patrício, Piroddi, Queirós, Teixeira, Rossberg, Sagarminaga, Hyder, Niquil, Möllmann, Wilson, Chust, Galparsoro, Forster, Veríssimo, Tedesco, Revilla and Neville. In Europe and around the world, the approach to management of the marine environment has developed from the management of single issues (e.g., species and/or pressures) toward holistic Ecosystem Based Management (EBM) that includes aims to maintain biological diversity and protect ecosystem functioning. Within the European Union, this approach is implemented through the Marine Strategy Framework Directive (MSFD, 2008/56/EC). Integrated Ecosystem Assessment is required by the Directive in order to assess Good Environmental Status (GES). Ecological modeling has a key role to play within the implementation of the MSFD, as demonstrated here by case studies covering a range of spatial scales and a selection of anthropogenic threats. Modeling studies have a strong role to play in embedding data collected at limited points within a larger spatial and temporal scale, thus enabling assessments of pelagic and seabed habitat. Furthermore, integrative studies using food web and ecosystem models are able to investigate changes in food web functioning and biological diversity in response to changes in the environment and human pressures. Modeling should be used to: support the development and selection of specific indicators; set reference points to assess state and the achievement of GES; inform adaptive monitoring programs and trial management scenarios. The modus operandi proposed shows how ecological modeling could support the decision making process leading to appropriate management measures and inform new policy.

Citation

Lynam, C. P., Uusitalo, L., Patrício, J., Piroddi, C., Queirós, A. M., Teixeira, H., …Neville, S. (2016). Uses of innovative modeling tools within the implementation of the marine strategy framework directive. Frontiers in Marine Science, 3(SEP), https://doi.org/10.3389/fmars.2016.00182

Journal Article Type Review
Acceptance Date Sep 6, 2016
Online Publication Date Sep 28, 2016
Publication Date Sep 28, 2016
Deposit Date Apr 30, 2018
Publicly Available Date May 2, 2018
Journal Frontiers in Marine Science
Electronic ISSN 2296-7745
Publisher Frontiers Media
Peer Reviewed Peer Reviewed
Volume 3
Issue SEP
DOI https://doi.org/10.3389/fmars.2016.00182
Keywords Ecosystem modeling; Good environmental status; Marine strategy framework directive; Indicators; Assessment cycle; Marine management
Public URL https://hull-repository.worktribe.com/output/535078
Publisher URL https://www.frontiersin.org/articles/10.3389/fmars.2016.00182/full

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Copyright Statement
Copyright © 2016 Lynam, Uusitalo, Patrício, Piroddi, Queirós, Teixeira, Rossberg, Sagarminaga, Hyder, Niquil, Möllmann, Wilson, Chust, Galparsoro, Forster, Veríssimo, Tedesco, Revilla and Neville. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.





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