The University of Southampton
University of Southampton Institutional Repository

No place like home? High residency and predictable seasonal movement of whale sharks off Tanzania

No place like home? High residency and predictable seasonal movement of whale sharks off Tanzania
No place like home? High residency and predictable seasonal movement of whale sharks off Tanzania
Highly mobile marine megafauna species, while widely distributed and frequently threatened, often aggregate in distinct localized habitats. Implementation of local management initiatives within these hotspots is more achievable than developing effective conservation strategies that encompass their entire distributions. Such measures have the potential for disproportionate population-level benefits but rely on a detailed understanding of spatiotemporal habitat use. To that end, we examined the residency and small-scale habitat use of 51 whale sharks (Rhincodon typus) over 5 years at an aggregation site in Tanzania using passive acoustic telemetry. Whale sharks were highly resident within and across years, with a combined maximum residency index of 0.39. Although fewer sharks were detected from March to September, residency was high throughout the year. Ancillary photographic-identification data showed that individual residency persisted before and after tag attachment. Kernel utilization distributions (KUD) and movement networks both revealed the same spatiotemporal pattern of habitat use, with a small core habitat (50% KUD area for all sharks combined = 12.99 km2) that predictably changed on a seasonal basis. Activity spaces did not differ with time of day, sex, or size of the sharks, indicating a population-level pattern driven by prey availability. The small and predictable core habitat area at this site means that site-based management options to reduce shark injuries and mortality from boat strike and fishing gear entanglement can be spatially targeted for maximum effectiveness and compliance by human users.
Mafia Island, Rhincodon typus, conservation, movement ecology, photo-ID, tagging
2296-7745
Rohner, Christoph A.
edb64ea3-ba55-47c9-97a1-6dac746ffb4b
Cochran, Jesse E. M.
4e76b9ff-27bb-455e-983f-20b6596c02eb
Cagua, E. Fernando
ae827bc8-8e9b-4bb9-8c5e-da0a49865ad8
Prebble, Clare E. M.
a0aa3b2f-219b-46e0-984c-1b26af03e28f
Venables, Stephanie K.
8b0e4f6f-d47d-4990-83ca-ec4755eab685
Berumen, Michael L.
741562b1-d1cd-43d6-a291-5529e5ae22d8
Kuguru, Baraka L.
7a7e1a46-7827-4341-aab3-3ab5f48b247a
Rubens, Jason
a6bda8b4-7e25-4255-9d93-9b736bf02d7e
Brunnschweiler, Juerg M.
f80f2d31-23f0-461e-b885-428ad77a8af4
Pierce, Simon J.
0550e911-b6b0-42d4-8621-06b7ed3b081c
Rohner, Christoph A.
edb64ea3-ba55-47c9-97a1-6dac746ffb4b
Cochran, Jesse E. M.
4e76b9ff-27bb-455e-983f-20b6596c02eb
Cagua, E. Fernando
ae827bc8-8e9b-4bb9-8c5e-da0a49865ad8
Prebble, Clare E. M.
a0aa3b2f-219b-46e0-984c-1b26af03e28f
Venables, Stephanie K.
8b0e4f6f-d47d-4990-83ca-ec4755eab685
Berumen, Michael L.
741562b1-d1cd-43d6-a291-5529e5ae22d8
Kuguru, Baraka L.
7a7e1a46-7827-4341-aab3-3ab5f48b247a
Rubens, Jason
a6bda8b4-7e25-4255-9d93-9b736bf02d7e
Brunnschweiler, Juerg M.
f80f2d31-23f0-461e-b885-428ad77a8af4
Pierce, Simon J.
0550e911-b6b0-42d4-8621-06b7ed3b081c

Rohner, Christoph A., Cochran, Jesse E. M., Cagua, E. Fernando, Prebble, Clare E. M., Venables, Stephanie K., Berumen, Michael L., Kuguru, Baraka L., Rubens, Jason, Brunnschweiler, Juerg M. and Pierce, Simon J. (2020) No place like home? High residency and predictable seasonal movement of whale sharks off Tanzania. Frontiers in Marine Science, 7, [423]. (doi:10.3389/fmars.2020.00423).

Record type: Article

Abstract

Highly mobile marine megafauna species, while widely distributed and frequently threatened, often aggregate in distinct localized habitats. Implementation of local management initiatives within these hotspots is more achievable than developing effective conservation strategies that encompass their entire distributions. Such measures have the potential for disproportionate population-level benefits but rely on a detailed understanding of spatiotemporal habitat use. To that end, we examined the residency and small-scale habitat use of 51 whale sharks (Rhincodon typus) over 5 years at an aggregation site in Tanzania using passive acoustic telemetry. Whale sharks were highly resident within and across years, with a combined maximum residency index of 0.39. Although fewer sharks were detected from March to September, residency was high throughout the year. Ancillary photographic-identification data showed that individual residency persisted before and after tag attachment. Kernel utilization distributions (KUD) and movement networks both revealed the same spatiotemporal pattern of habitat use, with a small core habitat (50% KUD area for all sharks combined = 12.99 km2) that predictably changed on a seasonal basis. Activity spaces did not differ with time of day, sex, or size of the sharks, indicating a population-level pattern driven by prey availability. The small and predictable core habitat area at this site means that site-based management options to reduce shark injuries and mortality from boat strike and fishing gear entanglement can be spatially targeted for maximum effectiveness and compliance by human users.

Text
fmars-07-00423 - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 14 May 2020
Published date: 12 June 2020
Keywords: Mafia Island, Rhincodon typus, conservation, movement ecology, photo-ID, tagging

Identifiers

Local EPrints ID: 444446
URI: http://eprints.soton.ac.uk/id/eprint/444446
ISSN: 2296-7745
PURE UUID: 7be57fc4-ec72-4599-aebb-326e937c27ed

Catalogue record

Date deposited: 19 Oct 2020 16:33
Last modified: 16 Mar 2024 09:42

Export record

Altmetrics

Contributors

Author: Christoph A. Rohner
Author: Jesse E. M. Cochran
Author: E. Fernando Cagua
Author: Clare E. M. Prebble
Author: Stephanie K. Venables
Author: Michael L. Berumen
Author: Baraka L. Kuguru
Author: Jason Rubens
Author: Juerg M. Brunnschweiler
Author: Simon J. Pierce

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×