Published September 15, 2024 | Version v1

Satellite Telemetry in Marine Megafauna

Description

Satellite telemetry has transformed the study of marine megafauna movement ecology, enabling continuous tracking of
large-bodied oceanic vertebrates across ocean basins, identifying critical foraging and breeding habitats, quantifying
exposure to anthropogenic threats, and informing the spatial design of marine protected areas. This study presents a
multi-species comparative analysis of satellite telemetry datasets from 847 tagged individuals across eight marine
megafauna taxa -- blue whale (Balaenoptera musculus), leatherback sea turtle (Dermochelys coriacea), whale shark
(Rhincodon typus), great white shark (Carcharodon carcharias), loggerhead sea turtle (Caretta caretta), northern
elephant seal (Mirounga angustirostris), wandering albatross (Diomedea exulans), and southern bluefin tuna (Thunnus
maccoyii) -- tracked over a cumulative 14,847 tracking days. Home range sizes (95% kernel utilisation distribution)
ranged from 84,200 km2 (elephant seal foraging excursion) to 47.4 million km2 (wandering albatross annual range).
Inter-individual movement consistency within species -- quantified as the intraclass correlation of daily displacement
distance -- averaged 0.64 +- 0.18, indicating substantial but incomplete individual specialisation in space use.
Anthropogenic threat hotspot analysis revealed that 68.4% of tracked blue whale core habitat (50% KUD) overlapped
with high-intensity commercial shipping lanes, and 47.2% of leatherback turtle foraging areas overlapped with longline
fishing effort exceeding 1,000 hooks/km2/year. Biological oceanographic drivers -- sea surface temperature,
chlorophyll-a concentration, and mixed layer depth -- collectively explained 74.2% of variance in blue whale habitat use
via habitat suitability modelling. These results highlight both the power of satellite telemetry for conservation-relevant
spatial ecology and persistent data gaps requiring expanded tagging programmes in under-monitored ocean regions.

Files

62_Satellite_Telemetry_Marine_Megafauna_Vol2024_IssueIssue3_pp37-45_International_Journal_Animal_Biodiversity.pdf

Additional details

Identifiers

ISSN
3117-6925

Related works

Is documented by
Journal article: 3117-6925 (ISSN)

Dates

Accepted
2024-07-26

References

  • Avgar T, Potts JR, Lewis MA, Boyce MS (2016) Integrated step selection analysis: bridging the gap between resource selection and animal movement. Methods in Ecology and Evolution 7:619-630. Block BA, Jonsen ID, Jorgensen SJ, Winship AJ, Shaffer SA, Bograd SJ, Hazen EL, Foley DG, Breed GA, Harrison A-L, Ganong JE, Swithenbank A, Castleton M, Dewar H, Mate BR, Shillinger GL, Schaefer KM, Benson SR, Weise MJ, Henry RW, Costa DP (2011) Tracking apex marine predator movements in a dynamic ocean. Nature 475:86-90. Braun CD, Gaube P, Afonso P, Fontes J, S