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        <datestamp>2026-01-19T10:11:55Z</datestamp>
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          <dc:title>Biologging for marine megafauna conservation: animal tracking, environmental monitoring, and modelling approaches.</dc:title>
          <dc:creator>Francesco Garzon (21061667)</dc:creator>
          <dc:subject>Uncategorised value</dc:subject>
          <dc:description>Marine megafauna face ongoing threats from human activities, including fishing
pressure, habitat destruction, and climate change. Biologging—the use of
electronic tags to study animal movement, behaviour, physiology—has emerged
as a critical tool for understanding animal ecology and informing conservation
strategies. This thesis explores the application of state-of-the-art biologging
technologies to address major conservation challenges facing sharks and sea
turtles, two groups that have experienced severe population declines driven by
human activities.
Through five case studies, this research demonstrates the versatility of biologging
in tackling diverse conservation questions. Satellite tracking of leatherback turtles
(Dermochelys coriacea) in Equatorial Guinea revealed spatial mismatches
between existing marine protected areas and critical nesting habitat, supporting
recommendations for MPA expansion. Novel sound-recording tags deployed on
leatherback turtles in Gabon quantified pervasive anthropogenic noise pollution
in important nesting areas, highlighting an emerging threat requiring
management attention. Post-release survival analysis of three shark species in
UK recreational fisheries revealed high (&gt;95%) survival rates, providing the first
European assessment of catch-and-release impacts and supporting current best-
practice guidelines. An agent-based model parameterized with pan-Atlantic
leatherback tracking data enabled simulation of complete remigration cycles,
extending insights beyond typical tag deployment periods and identifying
previously overlooked bycatch risk areas. Finally, computational fluid dynamics
modelling of tag drag on pelagic sharks revealed that tag placement significantly
outweighs tag mass in determining energetic costs, providing data-driven
guidelines for ethical tagging practices.
This research contributes to the growing integration of biologging and
conservation science, demonstrating how advances in animal tracking can
directly inform management decisions. The studies highlight persistent
challenges in the field, including the need for standardized analytical approaches,
improved data sharing protocols, and evidence-based tagging guidelines. As
marine ecosystems face increasing anthropogenic pressures, biologging will
remain essential for developing adaptive, data-driven conservation strategies for
marine megafauna.&lt;p&gt;&lt;/p&gt;</dc:description>
          <dc:date>2026-01-19T00:00:00Z</dc:date>
          <dc:type>Text</dc:type>
          <dc:type>Thesis</dc:type>
          <dc:identifier>10779/exe.31078915.v1</dc:identifier>
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          <dc:rights>All rights reserved</dc:rights>
          <dc:rights>Open Access after 2027-01-19</dc:rights>
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