Darnaude, Audrey and Arnaud-Haond, Sophie and Hunter, Ewan and Gaggiotti, Oscar and Sturrock, Anna and Beger, Maria and Volckaert, Filip and Pérez-Ruzafa, Angel and López-López, Lucía and Tanner, Susanne E and Turan, Cemal and Ahmet Doğdu, Servet and Katsanevakis, Stelios and Costantini, Federica (2022) Unifying approaches to Functional Marine Connectivity for improved marine resource management: the European SEA-UNICORN COST Action. Research Ideas and Outcomes, 8. DOI https://doi.org/10.3897/rio.8.e80223
Darnaude, Audrey and Arnaud-Haond, Sophie and Hunter, Ewan and Gaggiotti, Oscar and Sturrock, Anna and Beger, Maria and Volckaert, Filip and Pérez-Ruzafa, Angel and López-López, Lucía and Tanner, Susanne E and Turan, Cemal and Ahmet Doğdu, Servet and Katsanevakis, Stelios and Costantini, Federica (2022) Unifying approaches to Functional Marine Connectivity for improved marine resource management: the European SEA-UNICORN COST Action. Research Ideas and Outcomes, 8. DOI https://doi.org/10.3897/rio.8.e80223
Darnaude, Audrey and Arnaud-Haond, Sophie and Hunter, Ewan and Gaggiotti, Oscar and Sturrock, Anna and Beger, Maria and Volckaert, Filip and Pérez-Ruzafa, Angel and López-López, Lucía and Tanner, Susanne E and Turan, Cemal and Ahmet Doğdu, Servet and Katsanevakis, Stelios and Costantini, Federica (2022) Unifying approaches to Functional Marine Connectivity for improved marine resource management: the European SEA-UNICORN COST Action. Research Ideas and Outcomes, 8. DOI https://doi.org/10.3897/rio.8.e80223
Abstract
Truly sustainable development in a human-altered, fragmented marine environment subject to unprecedented climate change, demands informed planning strategies in order to be successful. Beyond a simple understanding of the distribution of marine species, data describing how variations in spatio-temporal dynamics impact ecosystem functioning and the evolution of species are required. Marine Functional Connectivity (MFC) characterizes the flows of matter, genes and energy produced by organism movements and migrations across the seascape. As such, MFC determines the ecological and evolutionary interdependency of populations, and ultimately the fate of species and ecosystems. Gathering effective MFC knowledge can therefore improve predictions of the impacts of environmental change and help to refine management and conservation strategies for the seas and oceans. Gathering these data are challenging however, as access to, and survey of marine ecosystems still presents significant challenge. Over 50 European institutions currently investigate aspects of MFC using complementary methods across multiple research fields, to understand the ecology and evolution of marine species. The aim of SEA-UNICORN, a COST Action within the European Union Horizon 2020 framework programme, is to bring together this research effort, unite the multiple approaches to MFC, and to integrate these under a common conceptual and analytical framework. The consortium brings together a diverse group of scientists to collate existing MFC data, to identify knowledge gaps, to enhance complementarity among disciplines, and to devise common approaches to MFC. SEA-UNICORN will promote co-working between connectivity practitioners and ecosystem modelers to facilitate the incorporation of MFC data into the predictive models used to identify marine conservation priorities. Ultimately, SEA-UNICORN will forge strong forward-working links between scientists, policy-makers and stakeholders to facilitate the integration of MFC knowledge into decision support tools for marine management and environmental policies.
Item Type: | Article |
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Divisions: | Faculty of Science and Health Faculty of Science and Health > Life Sciences, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 07 Sep 2022 09:43 |
Last Modified: | 18 Dec 2023 21:44 |
URI: | http://repository.essex.ac.uk/id/eprint/33427 |
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Filename: RIO_article_80223.pdf
Licence: Creative Commons: Attribution 3.0