MOVE_CCMAR: Evaluating the movescapes of predatory fish using acoustic telemetry in Southwestern Portugal
Citatie
Horta e Costa, B.; Bentes, L. Evaluating the movescapes of predatory fish using acoustic telemetry in Portugal. https://marineinfo.org/doc/dataset/8850
Contact:
Horta e Costa, Barbara Beschikbaarheid: Dit werk valt onder volgende licentie http://vocab.nerc.ac.uk/collection/L08/current/MO hierdoor valt het onder embargo tot 2028-12-30
Beschrijving
The existing European network of Marine Protected Areas (MPAs) mainly consists of small, isolated zones, often inadequately designed to account for the mobility and ecological fitness of predatory fish. MOVE seeks to address this by evaluating the movement patterns—or "movescapes"—of these species, providing crucial data for the design of more effective, connected MPA networks. MOVE's primary goal is to improve the conservation and sustainability of coastal predatory fish populations across Europe, thereby strengthening the resilience of coastal social-ecological systems. By mapping movement patterns and assessing ecological connections, the project will provide actionable insights to inform MPA management and broader conservation strategies. Scope Thema's: Biologie, Biologie > Ecologie - biodiversiteit, Biologie > Geluid, Biologie > Vis, Fysisch > Onderwater geluidstechniek, Visserij > Visstocks/vangsten/merken Kernwoorden: Marien/Kust, Acoustic data, Acoustic detection, Acoustic tags, Acoustic Tags, Acoustic telemetry, Acoustic tracking, Acoustic tracking systems, Akoestische Telemetrie, Animal movement, Animal Project, Connectivity, Fish movement, Fish predation, Kustgebieden, Live fish movement, Marine protected areas (MPAs), Movement ecology, predator populations, Predatoren, Top predators, South West Portugal, Moronidae Jordan & Evermann, 1896, Octopodidae A. d'Orbigny, 1839, Sparidae Rafinesque, 1818 Geografische spreiding South West Portugal [Marine Regions] Spreiding in de tijd
1 Maart 2023 - 18 Februari 2026 Quasi continu (< 1 min.) Target species
Parameter
Fish detections Methode
Fish detections: Acoustic telemetry Bijdrage door
University of Algarve; Faculty of Marine and Environmental Sciences; Centre of Marine Sciences (CCMAR), meer, hoofdonderzoeker, data creator
Gerelateerde datasets
Dataset status: Gestart
Data type: Data
Data oorsprong: Onderzoek: veldexperiment
Metadatarecord aangemaakt: 2025-04-30
Informatie laatst gewijzigd: 2025-04-30
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