Enhancing data mobilisation through a centralised data repository for Atlantic salmon (Salmo salar L.): Providing the resources to promote an ecosystem-based management framework.

• Published in: Ecological Informatics
• Main Authors: Diack, Graeme, Bull, Colin, Akenhead, Scott, van der Stap, Tim, Johnson, Brett C., Rivot, Etienne, Patin, Rémi, Hernvann, Pierre‐Yves, Schubert, Aidan, Bird, Tom, Saunders, Mark, Crozier, Walter
• Other Authors: Atlantic Salmon Trust, Biological and Environmental Sciences, Stirling, University of Stirling, Hakai Institute, Dynamique et durabilité des écosystèmes : de la source à l’océan (DECOD), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Pôle OFB-INRAE-Institut Agro-UPPA pour la gestion des migrateurs amphihalins dans leur environnement (MIAME), Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Office français de la biodiversité (OFB)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Department of Earth Sciences University of Southern California, University of Southern California (USC), North Pacific Anadromous Fish Commission, Fisheries and Oceans Canada (DFO)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2022
• Subjects: Data mobilisation; Atlantic salmon; Salmo sala; rEcoinformatics; Metadata catalogue; Labelled property graph; [SDV]Life Sciences [q-bio]; [STAT]Statistics [stat]; North Atlantic; Salmo salar
• Online Access: https://hal.science/hal-03788665; https://doi.org/10.1016/j.ecoinf.2022.101746

International audience Data and knowledge mobilisation are significant challenges in ecology and resource management, with the journey from data collection through to management action often left incomplete due to difficulties sharing information across diverse and dispersed communities. This disconnect between science and management must be resolved if we are to successfully tackle the increasing impact of human activity on our ecosystems. Across their North Atlantic range, Atlantic salmon (Salmo salar L.) populations are in steep decline in many areas and urgent actions are required to curb this decline. Being commercially important this species has been subject to intense research, but management action often suffers from both a lack of access to this knowledge resource and support for its integration into effective management strategies. To respond to this challenge, the science and management communities must place higher priority on mobilising existing and emerging knowledge sources to inform current and future resource use and mitigation strategies. This approach requires a more complete picture of the current salmon ecology data and knowledge landscape, new mechanisms to enable data mobilisation and re-use, and new research to describe and parameterise the responses of wild populations to habitat changes. Here we present a unique interface for registering and linking data resources relevant to the Atlantic salmon life cycle that can address the data mobilisation aspect of these challenges. The Salmon Ecosystem Data Hub is a salmon -specific metadata catalogue, natively interoperable with many existing data portals, which creates a low resis-tance pathway to maximise visibility of data relevant to Atlantic salmon. This includes the capacity to annotate datasets with life-stage domains and variable classes, thereby permitting dispersed data to be formally con-textualised and integrated to support hypotheses specific to scenario-based modelling and decision-making. The alignment and mobilisation of data ...