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Some like it hot: Repeat migration and residency of whale sharks within an extreme natural environment

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The Arabian Gulf is the warmest sea in the world and is host to a globally significant population of the whale shark Rhincodon typus. To investigate regional whale shark behaviour and movements, 59 satellite-linked tags were deployed on whale sharks in the Al Shaheen area off Qatar from 2011-14. Four different models of tag were used throughout the study, each model able to collect differing data or quantities of data. Retention varied from one to 227 days. While all tagged sharks crossed international maritime boundaries, they typically stayed within the Arabian Gulf. Only nine sharks dispersed through the narrow Strait of Hormuz into the Gulf of Oman. Most sharks stayed close to known or suspected feeding aggregation sites over summer months, but dispersed throughout the Arabian Gulf in winter. Sharks rarely ventured into shallow areas (
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RESEARCH ARTICLE
Some like it hot: Repeat migration and
residency of whale sharks within an extreme
natural environment
David P. Robinson
1
*, Mohammed Y. Jaidah
2
, Steffen S. Bach
3
, Christoph A. Rohner
4
,
Rima W. Jabado
5
, Rupert Ormond
1,6
, Simon J. Pierce
4
1Heriot-Watt University, Edinburgh, United Kingdom, 2Qatar Ministry of Environment, Doha, Qatar, 3North
Oil Company, Doha, Qatar, 4Marine Megafauna Foundation, Truckee, CA, United States of America, 5Gulf
Elasmo Project, Dubai, United Arab Emirates, 6Marine Conservation International, Edinburgh, United
Kingdom
*sharkwatcharabia@gmail.com
Abstract
The Arabian Gulf is the warmest sea in the world and is host to a globally significant popula-
tion of the whale shark Rhincodon typus. To investigate regional whale shark behaviour and
movements, 59 satellite-linked tags were deployed on whale sharks in the Al Shaheen area
off Qatar from 2011–14. Four different models of tag were used throughout the study, each
model able to collect differing data or quantities of data. Retention varied from one to 227
days. While all tagged sharks crossed international maritime boundaries, they typically
stayed within the Arabian Gulf. Only nine sharks dispersed through the narrow Strait of Hor-
muz into the Gulf of Oman. Most sharks stayed close to known or suspected feeding aggre-
gation sites over summer months, but dispersed throughout the Arabian Gulf in winter.
Sharks rarely ventured into shallow areas (<40 m depth). A single, presumably pregnant
female shark was the sole animal to disperse a long distance, crossing five international
maritime boundaries in 37 days before the tag detached at a distance of approximately 2644
km from the tagging site, close to the Yemeni-Somali border. No clear space-use differentia-
tion was evident between years, for sharks of different sizes, or between sexes. Whale
sharks spent the most time (~66%) in temperatures of 24–30˚C and in shallow waters <100
m depth (~60%). Sharks spent relatively more time in cooler (X
2
= 121.692; p<0.05) and
deeper (X
2
= 46.402; p<0.05) water at night. Sharks rarely made dives deeper than 100 m,
reflecting the bathymetric constraints of the Gulf environment. Kernel density analysis dem-
onstrated that the tagging site at Al Shaheen was the regional hotspot for these sharks, and
revealed a probable secondary aggregation site for whale sharks in nearby Saudi Arabian
waters. Analysis of visual re-sightings data of tagged sharks revealed that 58% of tagged
individuals were re-sighted back in Al Shaheen over the course of this study, with 40%
recorded back at Al Shaheen in the year following their initial identification. Two sharks were
confirmed to return to Al Shaheen in each of the five years of study.
PLOS ONE | https://doi.org/10.1371/journal.pone.0185360 September 21, 2017 1 / 23
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OPEN ACCESS
Citation: Robinson DP, Jaidah MY, Bach SS,
Rohner CA, Jabado RW, Ormond R, et al. (2017)
Some like it hot: Repeat migration and residency of
whale sharks within an extreme natural
environment. PLoS ONE 12(9): e0185360. https://
doi.org/10.1371/journal.pone.0185360
Editor: A. Peter Klimley, University of California
Davis, UNITED STATES
Received: January 27, 2017
Accepted: September 11, 2017
Published: September 21, 2017
Copyright: ©2017 Robinson et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Data Availability Statement: All relevant data are
within the paper and its Supporting Information
files.
Funding: Logistics for this project were provided
by the Qatar Ministry of Municipality and
Environment (QMMOE) and, Maersk Oil Research
and Technology Centre (MORTC). SB acted as an
independent researcher throughout this study with
financial support in the form of a salary from the
MORTC. The journal publication fees for this
manuscript were provided by the North Oil
Introduction
The world’s largest fish, the whale shark, Rhincodon typus (Smith, 1828), has routinely been
described as enigmatic [1,2], as aspects of its biology and habitat use remain poorly under-
stood. For example, knowledge of the species’ reproduction is lacking [2,3] and encounters
with neonates are a rare occurrence [3,4]. Whale sharks routinely move across international
boundaries and political jurisdictions [59]. However, whale sharks can show a significant
degree of site fidelity. Berumen et al. [5] tagged 47 sharks in the southern Red Sea for periods
of 11 to 315 days, with only eight sharks swimming farther than ~800 km from the tagging
location. Passive acoustic tagging studies off Mafia Island in Tanzania demonstrated high
whale shark residency to a small embayment for periods of up to two years [10].
Rowat & Brooks [3] reported that, although whales sharks tagged with satellite-linked tags
at aggregation sites have been shown to make long-distance movements, a subsequent return
migration to the tagging site had not been demonstrated. Whale sharks occur and aggregate
with predictable timing at a number of specific locations around the world [11]. Prey availabil-
ity is thought to be the primary driver behind the movements of whale sharks and their arrival
at aggregation sites [12,13]. However, it remains unclear whether movements and migrations
are solely driven by prey availability or linked to other aspects of the whale shark’s life history
[7].
Whale sharks are capable of dives into the bathypelagic zone. The deepest dive recorded to
date was 1928 m from a whale shark tagged off the Yucatan Peninsula, Mexico, which was also
the deepest documented dive from any fish [9]. The reasons for these deep diving excursions
are not known, but could be related to feeding [14], navigation, or to reduce energy expendi-
ture while travelling [15]. Fatty acid studies have found that deepwater zooplankton and meso-
pelagic fishes may comprise a portion of the diet [16,17]. However, while most whale shark
tracking studies to date have recorded irregular deep dives to >1000 m, the sharks typically
spent the majority of their time in the epipelagic zone [3]. Where sufficient prey is available,
whale sharks have been observed to spend long periods in shallow water while foraging
[7,18,19]. Whale sharks feeding off Holbox, Mexico spent 43% of time at the surface during
the day compared to 16% at night [20] and whale sharks tagged in the Gulf of Mexico spent
approximately 95% of their time in water depths <200m while in an oceanic environment [9].
Whale sharks are ectotherms and, there is evidence that whale sharks undertake beha-
vioural thermoregulation [21]. After prolonged deep dives to water as cold as 3.4˚C [22], they
spend extended periods at the surface, possibly to warm up [21]. In the Arabian Gulf, however,
they face the opposite challenge: water temperatures at the surface can be >35˚C in summer,
and they spend many hours in this surface layer feeding on tuna eggs [23]. Despite being shal-
low, with a maximum depth of just over 90 m [6], the Arabian Gulf has cooler water at depth,
as low as 18˚C, even in summer (S. Bach unpubl. data).
Most whale shark feeding aggregations are highly seasonal, and shark movements are gen-
erally poorly known outside these times, although large scale, multi-year movement studies
have taken place at some sites around the world [5,7]. During the boreal summer the Al Shah-
een area in Qatar hosts a large aggregation of whale sharks which feed there on freshly released
tuna eggs [6,23].
Due to the whale sharks endangered status [24], known bycatch in surrounding areas [24],
and susceptibility to injury from large vessel traffic [25], we aimed to investigate the movement
ecology of the whale sharks that utilise the Al Shaheen area using satellite-linked tags. We
investigate both the horizontal and vertical movements of these sharks in this hot, semi-
enclosed, shallow environment. We used satellite tags to examine their diving behaviours,
depth preferences, preferred temperature ranges and spatial habitat use, and integrate these
Satellite tagging whale sharks in the Arabian Gulf
PLOS ONE | https://doi.org/10.1371/journal.pone.0185360 September 21, 2017 2 / 23
Company (NOC). The MORTC or NOC did not have
any additional role in the study design, data
collection and analysis, decision to publish, or
preparation of the manuscript and only provided
financial support in the form of SB’s salary and
research materials. DPR’s work on this manuscript
was supported by two small grants from the Save
Our Seas Foundation. Many thanks to the Save Our
Seas Foundation, Al Ghurair Foods and the
Emirates Diving Association, Emirates Natural
History Group and, Le Meridien Al Aqah Beach
Resort for providing financial support for individual
satellite tags. Christoph Rohner and Simon Pierce’s
contribution to this project were supported by
private trusts, the Shark Foundation, Aqua-Firma,
and Waterlust.
Competing interests: All commercial affiliations for
this project do not alter the authors’ adherence to
PLOS ONE policies on sharing data and materials.
The authors declare that there are no competing
interests resulting from the commercial affiliations
for this project.
data with concurrent photo-identification studies to investigate return migration to the Al
Shaheen area.
Materials and methods
Whale sharks tagging area
Whale sharks were tagged in Al Shaheen (Fig 1) between July 2011 and September 2014.
Fifty-nine Wildlife Computers satellite tags were used, consisting of four different models:
Pop-Off Archival Tags (PAT) model MK10 (n = 10) and MiniPAT tags (n = 10; Table 1); near-
real-time SPOT5 tags (n = 28; Table 2) and ‘hybrid’ tags (PAT + real time) MK10F (n = 11;
Table 3), henceforth referred to as towed tags. PAT tags recorded light levels, depth, and tem-
perature, and were programmed to release from the shark after four, six, or 12 months. Towed
tags recorded Argos locations when at the surface as well as temperature data.
Fig 1. The locations of all study sites and other points of interest for whale sharks within the ArabianGulf and Gulf of Oman (wider region
shown in inset).
https://doi.org/10.1371/journal.pone.0185360.g001
Satellite tagging whale sharks in the Arabian Gulf
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Permissions for fieldwork and data collection on whale sharks in the Al Shaheen region of
Qatar were given by the Qatar Ministry of Environment with whom this work was conducted.
The whale shark is listed as ’Endangered’ on the IUCN Red List [24] but is not protected under
law in Qatari waters where the fieldwork was carried out. All satellite tags were deployed while
snorkeling alongside free-swimming whale sharks. Researchers took photographs of the flank
area on the left side of the shark for individual identification [26]. Sex was determined through
the presence or absence of claspers and, maturity in male sharks was determined by calcifica-
tion of the claspers. Estimated length of individual sharks was recorded to the nearest metre
[23]. Presumed pregnancy in female sharks was assessed using both estimated TL and the pres-
ence of a distinctive swollen abdomen as described in Acuña-Marrero et al [27]. Re-sightings
of previously tagged individuals using their identification images within the Wildbook for
Whale Sharks photo-identification library (http://www.whaleshark.org) allowed us to continue
tracking the sharks’ movements after tag detachment and also ascertain their survival post-tag-
ging [6].
Table 1. Summary data from 20 PAT tags deployed on male (M) and female (F) whale sharks in Al Shaheen, Qatar.
PTT ID Tag
Type
TL
(m)
Sex Wildbook
Alternate
ID
Date
Deployed
Date
Detached
Set for
(days)
Data Collection
(days)
Max Depth
(m)
Decoded
Data (%)
Max
Temp
(˚C)
Min
Temp
(˚C)
75731 MK10 8 F qat11-001 23.04.11 02.07.11 180 73 72 67 32.2 19.2
75730 MK10 8 F Unknown 14.05.11 11.09.11 120 120 80 69 35 19
75831 MK10 8 M Unknown 14.05.11 No report 120 No report No report NA No
report
No
report
75832 MK10 8 M Unknown 14.05.11 11.09.11 120 120 72 55 35.4 19.8
75855 MK10 6 F Unknown 14.05.11 No report 120 No report No report NA No
report
No
report
104001 MK10 4 M qat11-027 09.07.11 19.07.11 120 10 64 84 34 20.8
108547 MK10 5 M qat11-026 09.07.11 20.07.11 120 11 64 91 34 20.4
110446 MK10 8 M qat12-018 27.05.12 29.06.12 365 33 80 78 33.4 18.2
110447 MK10 7 F qat12-063 27.05.12 30.08.12 365 104 8 45 No
report
No
report
103238 MK10 9 M qat14-021 28.05.14 No report 180 No report No report NA No
report
No
report
119147 MiniPAT 6 F qat12-173 13.07.12 No report 365 No report No report NA No
report
No
report
119148 MiniPAT 6 F qat12-144 13.07.12 09.01.13 180 180 74 77 No
report
No
report
119149 MiniPAT 7 F qat12-039 27.05.12 No report 365 No report No report NA No
report
No
report
119150 MiniPAT 6 M qat12-165 13.07.12 09.01.13 180 180 80 76 No
report
No
report
119151 MiniPAT 6 M qat12-062 13.07.12 09.01.13 180 180 136 68 No
report
No
report
132228 MiniPAT 7 F qat13-085 19.09.13 18.03.14 180 180 228 72 35 20.9
132229 MiniPAT 5 M qat13-107 19.09.13 18.03.14 180 180 110 68 35.1 19.9
132230 MiniPAT 8 M qat13-106 19.09.13 05.02.14 180 137 104 67 34 20.4
132231 MiniPAT 7 M qat13-095 19.09.13 18.03.14 180 180 88 70 34 19.5
132232 MiniPAT 7 F qat13-098 19.09.13 18.03.14 180 180 344 69 34.7 17.6
Total Mean for Males 115 89 73 34 20
Total Mean for Females 140 134 67 34 19
Total Mean for both Male and Female 125 107 70 34 20
https://doi.org/10.1371/journal.pone.0185360.t001
Satellite tagging whale sharks in the Arabian Gulf
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A Wildlife Computers titanium anchor dart was used to anchor the tag within the shark.
The dart was inserted into the dermal layer on the left dorsal side of the shark, directly below
the centre line of the dorsal fin. A 6 ft pole spear was used to apply the tags in 2011 and 2012. A
metal bush was designed to attach the Wildlife Computers applicator to the pole spear and
rubber bungs were set at 10 cm depth to stop the applicator penetrating deeper into the shark.
The pole spear could not penetrate the thick skin of large sharks of >8 m total length (TL), and
was replaced with a pneumatic spear gun in 2013 and 2014.
In 2011, all tags were deployed with the factory-fitted wire tether. From 2012 onwards, tags
were deployed with a 550 lb breaking strain Dyneema tether tied directly to the tag and dermal
anchor. Knots were sealed with heat and strong adhesive. Tether length was set at 10 cm for
PATs (MK10 and MiniPAT). After trials of various lengths between 80 and 150 cm, towed tags
were deployed with a set length of 120 cm (SPOT5 and MK10F). All tag floats were painted
Table 2. Summary of data from 28 SPOT5 tags deployed on male (M) and female (F) whale sharks in Al Shaheen, Qatar, with mean days of data col-
lection and mean tracked distance for each.
PTT ID TL
(m)
Sex Wildbook
Alternate ID
Date
Deployed
Date
Detached
Data Collection
(days)
Track
Distance (km)
Mean Dist
/ day (km)
129051 7 F qat12-180 29.06.13 22.08.13 54 10 0.19
129052 8 M qat13-068 30.06.13 29.11.13 152 264 1.74
129053a 6 M qat11-090 16.05.13 29.05.13 13 52 4.00
129054 7 M qat11-062 01.07.13 02.07.13 1 0 NA
129055 8 M qat13-040 01.07.13 16.08.13 47 671 14.28
132226 7 M qat13-112 19.09.13 12.12.13 84 244 2.90
132227 5 M mus12-010 19.09.13 24.01.14 127 919 7.24
120998 8 M qat13-056 02.07.13 03.11.13 124 845 6.81
120999 9 M qat13-032 02.07.13 26.07.13 24 32.6 1.36
128519 6 F qat13-076 02.07.13 11.07.13 9 14 1.56
128520 7 F qat13-090 12.09.13 07.10.13 25 212 8.48
121000 7 M qat11-073 19.05.14 28.06.14 40 148 3.70
132221 7 F qat13-102 19.05.14 01.06.14 12 20 1.67
132222 9 F qat14-023 28.05.14 04.07.14 37 2613 70.62
132223 8 M qat12-256 28.05.14 24.07.14 57 174 3.05
132224a 8 M qat14-013 28.05.14 26.06.14 29 35 1.21
132225 8 M qat12-045 27.06.14 09.02.15 227 564 2.48
129053b 9 M qat14-037 27.06.14 29.06.14 2 0 NA
138518 7 F qat12-173 27.06.14 09.09.14 74 192 2.59
138521 7 M qat12-019 27.06.14 25.08.14 59 131 2.22
138517 7 F qat14-042 15.08.14 09.11.14 86 120 1.40
138519 8 M qat11-024 15.08.14 13.10.14 59 129 2.19
138520 7 F qat13-090 15.08.14 12.10.14 58 245 4.22
132224b 5 F qat14-046 15.08.14 20.03.15 217 618 2.85
141894 6 M qat14-069 16.09.14 27.02.15 164 1158 7.06
141895 6 F qat14-056 16.09.14 18.10.14 63 146 2.32
141896 5 M qat12-062 16.09.14 09.10.14 23 154 6.70
141897 5 F qat13-109 16.09.14 22.11.14 67 870 12.99
Total Mean for Males 72 368 4
Total Mean for Females 64 460 10
Total Mean for both Male and Female 69 406 7
https://doi.org/10.1371/journal.pone.0185360.t002
Satellite tagging whale sharks in the Arabian Gulf
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with copper-based blue antifouling paint to deter growth of epibionts (such as barnacles and
other fouling invertebrates) and to minimise predation attempts on the tags.
Pop-up archival satellite tags
Ten MK10 PATs were deployed; seven in 2011, two in 2012 and one in 2014 (Table 1). Mean
tag retention time for MK10 tags was 67 days ±19 (range 10–120; median = 73; n = 7). Mean
tag retention for MiniPATs was 175 days ±5 (range 137–180; median = 180; n = 8). Tag reten-
tion for MK10 tags was significantly less than in MiniPATs (Mann-Whitney U test, P <0.05)
and their failure rate was also higher: 30% compared to 100% success rate for MiniPATs pro-
grammed for less than 180 days. MK10 tags were set for deployment periods of 120–365 days
with just two MK10s lasting for a full 120-day set deployment.
MiniPATs collected light-level data which were used to determine location. Histogram bin
data on temperature and depth as well as temperature and depth time series data were also col-
lected. The 2012 models had an 8 GB memory card and time series data could only be collected
on either depth or temperature due to the small memory space. For this study, depth was given
priority. The 2014 MiniPAT models had a 16 GB memory card and collected time series data
on both depth and temperature simultaneously. MiniPATs generally transmitted most of their
archived data (mean 70%) via Argos before their batteries were exhausted.
Ten MiniPATs were deployed, five in 2012 and five in 2014 (Table 1). Two tags set for long
deployment durations of 365 days failed to report. All other tags were set for a deployment of
180 days, and all transmitted data. Of the eight tags that reported, only one detached before its
intended pop-up date, 43 days early. No pop-up tags were successfully recovered throughout
this study.
Towed satellite tags
Twenty-eight SPOT5 deployments were made over 2013 and 2014 using 26 tags (Table 2).
Two tags were recovered and re-deployed after detachment from the shark. Tag retention was
lower than with the archival tags, ranging from 1 to 227 days with a mean retention time of 69
days. SPOT5 tags also recorded 12-hour histogram data for temperature collected within the
previous 24 hours.
In 2012, we used five prototype tags (MK10-F) that collected Argos locations, light-level,
depth, and temperature data, and possessed Fastloc Global Positioning System (GPS) capabil-
ity. These tags provided fine-scale and accurate location information together with tempera-
ture and depth, and so for the first time combined behavioural data with accurate location
estimates (depending on surface time and satellite coverage). This tag model collected both
time-series data and binned histogram data for both temperature and depth. These tags are
designed to send opportunistic transmissions of data throughout their deployment. However,
the initial design of the tag (used in 2012) was insufficiently buoyant to reach the surface when
attached to a swimming shark. Small floats, added to the tether to aid buoyancy, may have
resulted in reduced attachment time due to increased hydrodynamic resistance. All five tags
were set for a 180-day deployment, but two failed to report and one had a short deployment of
only 17 days. The remaining two tags made a full deployment (Table 3). Few location data
were received from the tags, presumably due to the flawed design.
The MK10Fs we used in 2013 were re-designed into a ‘SPOT 5’ style tag, which had
improved buoyancy and a longer mean deployment duration of 87 days (54–129 days). The
tags were re-designed again in 2014. Two of the new style tags were deployed, but retention
time was 49 days for both tags (respectively).
Satellite tagging whale sharks in the Arabian Gulf
PLOS ONE | https://doi.org/10.1371/journal.pone.0185360 September 21, 2017 6 / 23
Location data were split into two categories for further analyses: (1) light-level based loca-
tions from archival tags, and (2) Argos locations from towed tags.
Light-level analysis
All data were transmitted and collected through the Argos system and downloaded via their
website www.argos-system.cls.fr. The Wildlife Computers’ DAP 3 processor was used to best
estimate the location of the sharks equipped with archival tags. The DAP 3 processor uses a
Hidden Markov Model with the forward and backward algorithm at a 0.25˚ grid size with light
levels, sea surface temperature (SST), and any applicable Argos or fastloc positions, as well as
deployment and pop-off locations, used to estimate location and generate a surrounding confi-
dence area. Most-likely locations were determined using a spline interpolation. Archival tags
provided locations calculated from light-level data. Light-level locations had a mean error
radius of ~50 km (Wildlife Computers, 2015).
Argos location analysis
Tags fitted with an Argos transmitter (SPOT and MK10F) used standard Doppler-based geo-
location to track the position of the shark. An accuracy estimate was assigned and a location
class was provided (A, B, 0, 1, 2, 3). Class A and B had no error estimates, whilst classes 0, 1, 2
and 3 had an estimated accuracy of >1500 m, >1000 m, >500 m, >150 m, respectively.
To facilitate regular data downloads from the Argos system, accounts were set up through
Seaturtle.org’s Satellite Tracking and Analysis Tool (STAT). STAT automatically downloads
Argos data daily and stores it online. To further improve location data, the Douglas filter was
applied in Movebank (http://www.movebank.org). This tool is based on a Maximum Redun-
dant Distance (MRD) filter and removes unrealistic locations. Argos locations with a B loca-
tion class or better were included in analyses and an MRD radius of 100 km was set. One
location per day was used for all further analyses by employing the “Best of Day filter” in
Movebank.
Table 3. Summary of data from 11 MK10F tags deployed on male (M) and female (F) whale sharks in Al Shaheen, Qatar, with mean days of data col-
lection and mean depth, maximum temperature, minimum temperature and tracked distance.
PTT ID TL
(m)
Sex Wildbook
Alternate ID
Date
Deployed
Date
Detached
Set for
(days)
Data Collection
(days)
Max Depth
(m)
Max
Temp
(˚C)
Min
Temp
(˚C)
Track
Distance
(km)
119152 6 F qat12-169 13.07.12 08.01.13 180 180 116 35.5 19 262
119153 8 M qat11-019 27.05.12 23.11.12 180 180 88 35 18 376
119154 7 M qat12-105 01.06.12 17.06.12 180 17 58 18.8 34 78
119155 6 F qat11-018 01.06.12 01.06.12 180 No report 0 0 0 0
119156 7 F qat12-078 01.06.12 01.06.12 180 No report 0 0 0 0
129822 8 M qat12-093 30.06.13 15.09.13 180 67 80 35.8 21.5 314
129823 8 M qat11-097 30.06.13 04.10.F13 180 96 80 36 21.7 177
138515 8 M qat13-071 27.06.14 03.11.14 180 129 208 34.5 20 783
138516 6 M qat14-041 15.08.14 08.10.14 180 54 74 35 21.3 134
137642 8 F qat12-153 20.08.14 07.10.14 180 48 96 35.7 21 135
137643 7 M qat14-067 16.09.14 05.11.14 180 50 208 34.1 21.7 587
Total Mean for Males 85 114 33 23 350
Total Mean for Females 114 106 36 20 199
Total Mean for both Male and Female 91 112 33 22 316
https://doi.org/10.1371/journal.pone.0185360.t003
Satellite tagging whale sharks in the Arabian Gulf
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Temperature & depth
Depth and temperature data collected by satellite tags were analysed to investigate behaviour
and habitat preference in relation to season and location. As the Arabian Gulf is shallow
throughout with a maximum of just over 90 m depth, we defined “relatively deep” dives as >40
m depth when discussing depth in the Gulf. Outside the Gulf, we define “deep dives” as >100
m depth. SPOT tags were only able to collect temperature data and not depth data. Otherwise,
all tags were programmed to collect data from 6 am to 6 pm (day time) and 6 pm to 6 am (night
time). Time-at-temperature (%) was summarised into 11 temperature bins (Table 4) and time-
at-depth (%) presented as seven depth bins (Table 4). Diel differences in temperature and depth
were compared for tags capable of collecting depth data (MK10, MiniPAT & MK10F).
A paired-samples t-test was conducted to compare the mean depth at four time intervals
throughout the day (00:00–06:00, 06:00–12:00, 12:00–18:00, 18:00–00:00) within all sharks
tagged with an MK10F satellite tag both whilst located within and whilst outside of the Al
Shaheen area.
Tags that provided time-series data (n = 31) were used to investigate individual movement
and behaviour of whale sharks throughout the tag’s deployment. Tags capable of time-series
data collection were programmed to take temperature and depth measurements at 10-minute
intervals for the entire deployment. To investigate circadian behaviour in more detail, hourly
mean depth data were also split between the data obtained within whale shark aggregation
area at Al Shaheen during the tuna spawning season (May-Oct) and those obtained outside the
tuna spawning season (Nov-Apr).
Determining tag detachment
Temperature and depth data were used to determine the time at which the tag detached from
the shark, similar to the methodology described in Hearn et al [28]. For tags collecting and
transmitting time series data the detachment time could be determined shortly after the tag
floated to the surface as it then maintained a uniform depth and a constant temperature
matching the local sea surface temperature (SST). For tags collecting and transmitting only
histogram data, the point of detachment was determined from the tag recording data from
within a single ±3˚C temperature bin, within which was the local SST recording at the time,
for at least three days. After three days of static temperature recording, the time at which the
tag changed to this behaviour was chosen as the detachment time. The SPOT tags used in this
study were capable of storing collected data messages in the buffer for a period of days. These
stored data messages were then transmitted at a later time when the tag reached the surface.
Kernel density analysis
All transmitted locations were input to ArcGIS 10.2.1. The “kernel density tool” was used to
calculate occurrence magnitude per km
2
. The Minimum Bounding Geometry (MBG), 50%
and 95% Volume Contours (PVC) were produced to estimate areas of overall and core habitat
usage. Both kernel density and PVC were produced following the methodology outlined in
MacLeod [29]. Data were similarly split into summer (tuna spawning season; May-Oct) and
Table 4. Temperature and depth bins used throughout the satellite tagging study.
Satellite Tag Bin Range
1 2 3 4 5 6 7 8 9 10 11
Temp (˚C) 0–12 12–15 15–18 18–21 21–24 24–27 27–30 30–33 33–36 36–39 39+
Depth (m) 0–2 2–10 10–20 20–50 20–100 100–400 400+ NA NA NA NA
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winter (non-spawning season; Nov-Apr). Two separate kernel density analyses were produced,
one for each season.
Data from four tags were selected as case studies to show important aspects of whale shark
movements within and outside the Arabian Gulf and to illustrate the relationship between
movements and environmental variables in more detail.
Results
Movements of whale sharks
Light-level locations. Overall, locations derived from light levels showed dispersion
throughout the relatively deeper waters of the Arabian Gulf as far north as Kuwait. Whale
sharks rarely ventured into areas shallower than 40 m and no transmissions were made from
water shallower than 20 m. Two sharks made a larger scale dispersal into the Gulf of Oman
through the Strait of Hormuz (Fig 2).
Argos locations. All but one shark tagged with a GPS tag stayed within the Arabian Gulf
and Gulf of Oman over the tag’s deployment. This large-scale horizontal movement was made
by a presumably pregnant 9 m female, which was the only presumably pregnant female tagged
in this study. This shark (qat14-023) left the study area and moved through Qatari, Iranian,
UAE and Omani waters and the tag, detached in Yemeni waters approximately 35 km from
Fig 2. Overview of all locations generated from light-level analysis. The colour of the symbol indicates the tag ID as shown to the right.
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the Somali maritime boundary and 36 km from the Island of Socotra, 37 days after tag deploy-
ment (Fig 3).
We investigated tag transmission data to eliminate the possibility that this tag was floating.
We found that the tag transmission count did not increase between the deployment date of
May 29 and June 29 2014. On June 29 2014, a single message was transmitted, indicating a
brief surface event. Temperature histogram data were then transmitted for six days, during
which time the tag moved through multiple temperature bins until our assigned detachment
date of July 4 2014 when the tag started to report 100% time-at-temperature within a single
temperature bin. The lack of transmissions from deployment to June 29, 2014, together with
the temperature histogram data, show that the tag was still attached to the shark until the
reported detachment date.
Otherwise the tagged whale sharks aggregated at Al Shaheen and off the Saudi Arabian Gulf
coast during summer, but dispersed throughout the Gulf in winter. This pattern remained the
same in all years of our study (Fig 4).
Fig 3. The estimated straight-line 2644 km journey of a presumed pregnant whale shark tagged in Al Shaheen.
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Kernel density analysis. Kernel analysis confirmed that Al Shaheen and the closely sur-
rounding area is a highly significant area for tag transmissions (Fig 5). A possible new aggrega-
tion site for whale sharks was apparent in Saudi Arabian waters, 126 km north-west of Al
Shaheen and 100 km offshore of Al Jubail.
Percentage volume contours and habitat usage. Kernel density analysis also identified
the activity hotspot at Al Shaheen, as was seen in the raw location data. A minimum bounding
geometry (MBG) for the locations in the Arabian Gulf and Gulf of Oman from all Argos trans-
missions was 166,447 km
2
. Core habitat (50% PVC) for the region was focused on Al Shaheen
and encompassed a small area of 92 km
2
. The 95% PVC excluded outlying locations but
included the same significant locations identified in the hotspot analysis plus a few additional
areas which the sharks frequented (Fig 6).
Minimum Bounding Geometry (MBG) and PVC’s for summer were smaller than when
data for summer and winter were combined. Although nine sharks left the Gulf during sum-
mer, the majority stayed until the end of the tuna spawning season.
The MBG and PVC’s increased in size during the winter, indicating that a larger area was
being utilised, as sharks dispersed from summer aggregation areas. All winter core areas (95%
PVC) were in locations deeper than 40 m showing that when the sharks disperse widely into
the Gulf they still prefer habitat in excess of 40m which is restricted to the central and
Fig 4. Overview of all locations transmitted by Argos tags from the Arabian Gulf and Gulf of Oman, split intoyears and season, together with
Arabian Gulf bathymetry.
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Northern side of the Gulf. Some sharks also moved to the Gulf of Oman via the Strait of Hor-
muz in winter (Fig 6).
There were no apparent differences in habitat preference between male and female whale
sharks, or mature and immature animals. Both sexes aggregated off Al Shaheen or the Saudi
site over summer before dispersing across the region throughout winter. Both sexes displayed
the same affinity for the relatively deeper waters (>40 m) of the Arabian Gulf (Fig 7). The sole
exception was the presumably pregnant female that swam towards Somalia (Fig 3); all other
females stayed within the Arabian Gulf and Gulf of Oman area.
Whale sharks spent ~66% of time in temperatures between 24˚C and 30˚C (Table 5). Time
spent in the four warmest temperature bins (24–27˚C, 27–30˚C, 30–33˚C 33–36˚C) was signif-
icantly higher during daytime, with sharks moving into cooler water at night (X
2
= 121.692;
p<0.05).
Whale sharks spent ~79% of their time above 50 m (Table 6). Time spent in the five most
frequented depth bins (0–2 m, 2–10 m, 10–20 m, 20–50 m and 50–100 m) was significantly dif-
ferent between night and day, with sharks spending more time in deeper water at night (X
2
=
46.402; p<0.05).
Diving behaviour. A distinct diurnal pattern in behaviour of the whale sharks was evident
whilst they were at Al Shaheen. They were shallower (mean = 20.6 +/- 7.9 m) from 6 am to 12
pm when at Al Shaheen in summer compared to when they dispersed over winter (41.8 +/-
Fig 5. Kernel density analysis showing the pattern of transmission locations from satellite tags attachedto whale sharks from the Al Shaheen
area of Qatar and indicating a possible new aggregation site in Saudi Arabian waters.
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4.4m; t = 13.7, p<0.0001). Sharks at the possible Saudi aggregation site showed a similar pat-
tern of behaviour, but with a second movement to surface waters around dusk. Once the
sharks were outside of either aggregation site, they spent most of their time between 30 and 50
m with no pronounced diel pattern (Fig 8).
Annual returns. Of the 55 satellite tagged sharks that were photo-identified, 32 (58%)
returned to Al Shaheen in following years. Twenty-two returned the year following their tag-
ging (Table 7), with two sharks returning even five years after they were tagged.
Of the 32 sharks that returned to Al Shaheen, 22 (69%) were seen in one or more consecu-
tive years. One shark returned to Al Shaheen in each of the five years of study (Table 8).
Individual behaviour case studies
MiniPATs. MiniPAT 132232 was deployed for a full 180 days on shark qat13-098, a 7 m
female. This shark left the Arabian Gulf through the Strait of Hormuz, indicated by an abrupt tem-
perature change, and spent the remainder of the deployment within the Gulf of Oman. This shark
made the deepest dive of any within this study, to a depth of just over 300 m (Fig 9A and 9B).
MiniPAT 132231 made a full 180-day deployment on shark qat13-095, a 7 m male. This
shark experienced both the warmer summer and colder winter temperatures of the Arabian
Fig 6. Kernel Density Analysis and Minimum Bounding Geometry (MBG), showing the 50% and 95% Percentage Volume Contours (PVC)
representing the core habitat use and total range respectively for: complete Argos locations (A), locationstransmitted during summer (B), and
locations transmitted during winter (C).
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Gulf. A distinct cooling was recorded as the region transitioned from summer to winter.
Light-level locations suggested that the shark stayed within the Arabian Gulf, however, the
depth-temperature profile showed that the shark dived to more than 100 m, which means that
it must have entered the Strait of Hormuz (Fig 9C and 9D) but did not move into the Gulf of
Oman.
MK10Fs. MK10F 129823 made a 96-day deployment on an 8 m male shark, qat11-097.
Argos locations showed that the shark did not leave the Arabian Gulf during the deployment.
The time-series data show the surface waters of the Arabian Gulf started to cool around the
beginning of October following peak temperatures in August and September. Water tempera-
ture was stable throughout the summer months with a temperature of around 34˚C. This
Fig 7. Overview of the Argos locations transmitted throughout the study period (excluding the Socotra pop-offpoint) for male and female whale
sharks tagged in Al Shaheen.
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Table 5. Percentage time-at-temperature for 50 whale sharks tagged with temperature recording satellite tags at Al Shaheen between 2011–2014.
Temperature Bins
18–21 21–24 24–27 27–30 30–33 33–36 36–39 39+
Day (%) 2 10 29 30 18 10 2 <1
Night (%) <1 4 28 47 16 4 <1 0
Overall (%) <1 11 29 37 16 6 <1<1
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shark spent most of this time within Al Shaheen before moving north towards the possible
Saudi Arabian aggregation site prior to the tag detaching in October (Fig 9E and 9F).
MK10F 138516 made a 54-day deployment on a 6 m male shark, qat14-041. This shark
spent time in Al Shaheen and then moved to the possible aggregation area in Saudi Arabia
where the tag popped off. Time-series data transmission displayed standard depth and temper-
ature data for the central Arabian Gulf (Fig 9G and 9H)
Discussion
Almost all the whale sharks tagged at Al Shaheen spent extended periods (several months)
inside the Arabian Gulf, where surface temperatures can be greater than 35˚C and the
Table 6. Percentage time-at-depth for 31 whale sharks tagged with depth recording satellite tags at Al
Shaheen between 2011–2014.
Depth Bins (m)
0–2 2–10 10–20 20–50 50–100
Day (%) 24 8 9 30 28
Night (%) 11 10 16 41 21
Overall (%) 17 10 13 39 21
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Fig 8. Mean actual hourly depths for time-series capable tags whilst sharks were within Al Shaheen (blue), outside of Al Shaheen (green) or
within the possible aggregation site in Saudi Arabian waters (red).
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maximum depth is just over 90 m. Whale sharks tolerated high surface temperatures for sev-
eral hours daily over that period. These same sharks were then seasonally exposed to mixed
and cool waters over winter, with one shark exposed to temperatures constantly below 22˚C
for over a month (Fig 9D), demonstrating that individuals face a broad range of temperatures.
The extreme environment of the Arabian Gulf presents an opportunity to learn more about
how behavioural thermoregulation may allow whale sharks to maintain a reasonably even
body temperature range, and what the optimal temperature envelope is likely to be for this
wide-ranging species.
Residency and dispersal from Al Shaheen
Kernel density analysis identified Al Shaheen as the core area utilized by tagged sharks during
the tuna spawning season of May through to September [23]. An area of 66 km
2
was identified
as core habitat. Some individual whale sharks display a high affinity for Al Shaheen through the
summer, apparently spending the whole tuna spawning season at this site. Affinity to Al Shah-
een throughout this spawning season suggests that the production of eggs may be sufficient to
support the dietary needs of sharks for several months. Hoffmayer et al. [30] described the feed-
ing behavior of whale sharks in the Gulf of Mexico that were feeding on tuna spawn from the lit-
tle tunny, Euthynnus alletteratus (Rafinesque, 1810) and estimated the consumption of eggs at
9000 m
2
water filtered. Heyman et al. [31] described an aggregation site in Belize where whale
sharks feed on snapper spawn, they report that fish eggs have a high caloric content, and when
highly concentrated, such as at Al Shaheen, become an important food source. Tyminski et al.
[9] calculated that a 6.2 m whale shark feeding on tuna spawn in the Gulf of Mexico for 11
hours, in similar conditions to Al Shaheen, would ingest 6 to 10 times the calories that an equiv-
alent shark in captivity is rationed per day. Tuna spawn is likely to be an extremely efficient
food source and this may explain the high affinity of some individuals for Al Shaheen.
While some sharks did transit through the Al Shaheen site relatively quickly, only spending
a few days at the site, evidence from the kernel density analysis in this study suggests that addi-
tional aggregation sites exist elsewhere in the Gulf, specifically offshore of Al Jubail in Saudi
Arabian waters. Several males and females of varying lengths visited this area. The location has
a similar bathymetry to the Al Shaheen site and could also be a seasonal feeding area for whale
sharks, although the evidence is presently circumstantial.
During the winter months the MBG and PVC increased in area as sharks dispersed
throughout the Arabian Gulf and Gulf of Oman. Argos locations showed that the sharks rarely
moved north past Saudi Arabian waters or towards the shallower waters close to the coast of
Qatar and the UAE. Whale sharks have been reported from these areas but these sharks are
usually juveniles less than 4 m in length and sightings usually occur in the winter months
Table 7. Annual re-sighting data for the 32 identified and tagged whale sharks from the year they
were first sighted.
Re-sights after first year of identification
Year 1 Year 2 Year 3 Year 4 Year 5
22 16 10 6 2
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Table 8. Annual consecutive re-sights for the 32 whale sharks that returned to Al Shaheen.
Number of sharks re-sighted in consecutive years after first identification
1 consecutive
year
2 consecutive years 3 consecutive years 4 consecutive years 5 consecutive years
14 6 1 0 1
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when the waters are cooler [6]. Sharks have also been reported from Kuwait [6]; these sharks
were also juveniles less than 6 m in length. Only one of 58 tagged sharks, a presumably pregnant
female, left this region over the whole tagging period from April 2011 to the end of 2014. Robin-
son et al. [6] used individual spot patterns of whale sharks to track their movements around the
Arabian region and found that although sharks moved in and out of the Arabian Gulf through
the Strait of Hormuz, as similarly documented in this study, none of the individuals encoun-
tered in either Gulf have been sighted outside of this area. Tag transmissions reduced in fre-
quency once the sharks left Al Shaheen, suggesting that they modified their feeding behaviour.
This made their journeys difficult to track using towed tags. Although PAT tags have a large fac-
tor of error in their light intensity-based locations, larger-scale movements away from the study
area should nevertheless have been detected. The amount of time the sharks spent in these
restricted waters highlights the importance of the Arabian Gulf as whale shark habitat.
Influence of life stage on movements
Whale sharks recorded during this study ranged between 4 and 10 m in length. Given that
whale sharks are born at around 50–60 cm and may grow to 18–20 m [3], the absence of small
juveniles or large adult sharks suggests that this region is utilised solely by larger juveniles and
smaller mature sharks [6]. Whale sharks of <3 m or >10 m are rarely reported anywhere in
the world, so it is likely that these life stages either inhabit offshore waters or rarely approach
the surface where they are obvious to human observers. There were no clear differences in the
movements of juvenile versus adult sharks, excepting the single presumably pregnant female.
Both sexes aggregated in the summer and dispersed in the winter, using the same stretch of rel-
atively deeper water in the Arabian Gulf. Both sexes traveled through the Strait of Hormuz
into the Gulf of Oman and both also utilised the possible Saudi aggregation site.
Few mature males have been previously tagged elsewhere, and to our knowledge this study
reports on the first presumably pregnant female whale shark tagged in the Indian Ocean basin.
This singular female was 9 m TL and tracked with a SPOT5 tag. The shark remained in Al
Shaheen for a couple of days after tagging and then headed straight out of the Arabian Gulf.
The tag detached close to the Socotra Islands (Yemen) after a 37-day journey during which no
location signal was transmitted, although a single message was received on June 29
th
, indicat-
ing a brief surfacing event. The few mature female whale sharks tracked previously, largely in
the Eastern Pacific [27,32,33] have shown a clear preference for oceanic habitat. A 7.5 m female
with a “noticeable enlarged” pelvic area was tagged in the Gulf of Mexico and also showed a
preference for an oceanic habitat [7]. The significance of this movement is unclear without a
larger sample size, but targeted tracking of this life stage is certainly of interest with regards to
reproductive ecology. Whale sharks of >9 m length in this study were rarely successfully
tagged as the skin on such large sharks is extremely difficult to penetrate with the dermal
anchor. Alternative tag deployment or attachment techniques are under investigation.
Depth and temperature
Sharks within the Arabian Gulf have limited access to waters in excess of 90 m [34]. Transmis-
sion locations and bathymetry data showed that most transmissions were from areas with bot-
tom depth between 40 and 60 m, corresponding to the depth of the majority of the central
Fig 9. Estimated satellite tag locations produced from light level analysis throughout deployment of MiniPATs 132232 (A) & 132231 (B) including
95 and 50% location confidence areas and depth. Argos locations throughout deployment of MK10F 129823 (E) & 138516 (G). Deployment time-
series depth-temperature data for MiniPATs 132232 (B) & 132231 (D) and MK10F 129823 (F) & 138516 (H). Grey spots represent where
temperature data were unavailable.
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Arabian Gulf ridge. A preference for relatively deeper water was observed in areas along the
Iranian coastline during the winter months after the sharks had dispersed from Al Shaheen.
Transmissions from locations in deeper water occurred after sharks dispersed through the
Strait of Hormuz and into the Gulf of Oman, where waters are deeper than 90 m, although
even in the Gulf of Oman the transmission locations indicate that sharks rarely surface while
in waters in excess of 100 m depth. Only one shark made a dive in excess of 300 m (Fig 9B)
and dives of >100 m were uncommon. This is in contrast with many other satellite tagging
studies that have shown frequent and deep dives to almost 2000 m [7,9,22,35]. Deep diving in
whale sharks has been linked to feeding [16], energy saving while travelling [36] or thermoreg-
ulation [21]. The lack of deep diving in our overall study is almost certainly due to the shallow
waters (<90m) found in the Arabian Gulf. The lack of deep dives where sharks had access to
deeper water (>100m) while in the Gulf of Oman may perhaps be because of high prey avail-
ability in shallow waters in the region, negating the need for deep foraging dives. Similarly,
Rowat & Gore [37] found that sharks frequenting waters of the Seychelles spent 96% of their
time in waters less than 100 m depth, and Graham et al. [35] described whale sharks as epipe-
lagic inhabiting waters between 50 and 250 m deep. Berumen et al. [5] report that sharks in the
Red Sea frequent waters less than 50 m depth. At the same time the whale sharks tagged in Al
Shaheen displayed a distinct preference for the relatively deeper waters of the Arabian Gulf.
Surface water temperatures in the summer within the Arabian Gulf are frequently in excess
of 35˚C [38]. Water temperature in the top 10 m at Al Shaheen can also exceed 35˚C [23].
However, the relatively deeper central ridge of the Arabian Gulf forms distinct temperature
layers. During August sharks at Al Shaheen feed at the surface for >6 hours a day, but at 60 m
depth water temperatures are comparatively cool at 18˚C (S. Bach, unpubl. data) even during
summer. This temperature layering can be clearly seen in all time-series, depth and tempera-
ture data from this study (Fig 9). Although we did not specifically examine this here, it is possi-
ble that access to cooler waters is a requirement for short-term foraging in extremely hot
water. In tropical Mexican waters, where whale sharks feed similarly on tuna eggs near the sur-
face, a clear diel pattern in depth use (as also observed at Al Shaheen) was hypothesised to
relate to either heat dissipation or overnight post-feeding thermotaxis to improve digestive
uptake [9]. The water column in the Gulf starts to mix in mid-October. After mixing, tempera-
tures hold in the low-20’s throughout the water column. One shark was observed within the
Gulf for the full deployment of the tag and over the winter period (Fig 9D). Although the Gulf
is warm in the summer, this shark was exposed to water temperatures below 22˚C for more
than one month in the winter months. This area provides an ideal “natural experiment” for
further investigation of the influence of temperature on whale shark movement ecology.
Re-sights and migrations
The Convention on the Conservation of Migratory Species (CMS) defines a migratory species
as ‘the entire population or any geographically separate part of the population of any species or
lower taxon of wild animals, a significant proportion of whose members cyclically and predict-
ably cross one or more national jurisdictional boundaries”. Rowat & Brooks [3] report that
whale sharks are highly mobile and concluded that there is no rigorous evidence from satellite
tagging studies to show that whale sharks disperse from an area of tagging and then return
sometime later, displaying true annual migration. However, Hueter et al. [7] stated that the
return of individuals to aggregation sites was common, and reports a shark seen in six conse-
cutive years. Hearn et al. [28,32] also describe the return of satellite-tagged sharks to the site of
tagging after a large-distance oceanic dispersal. Within this study, 59 sharks were satellite
tagged and 55 of those had identifiable spot pattern images recorded. Of those 55 sharks, 32
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returned to Al Shaheen in at least one further year after first being recorded and all sharks that
still had tags attached at the end of the spawning season crossed national jurisdictions into the
territorial waters of other countries including Saudi Arabia, Iran, The United Arab Emirates,
and Oman. Our re-sight data shows that a high proportion of whale sharks make annual migra-
tions to Al Shaheen, after which they disperse into the wider Arabian Gulf and Gulf of Oman.
Concluding remarks
The Arabian Gulf is, during the summer months, the warmest sea in the world, yet Al Shaheen
hosts one of the largest-known whale shark aggregations. Here we have shown that over win-
ter, despite a precipitous drop in temperature, the majority of satellite-tagged sharks remained
in the region. Individual whale sharks were shown to migrate repeatedly to Al Shaheen across
years. We have identified a likely second aggregation site in the Gulf, off Al Jubail in Saudi Ara-
bia, which should be investigated further. Whale sharks are only afforded species-specific pro-
tection within the UAE amongst GCC countries, although all sharks species are protected
from fishing in waters of Saudi Arabia and Kuwait. Following the end of the tuna spawning
season, every tracked shark in this study dispersed across national boundaries, with many
moving through multiple jurisdictions. The protection afforded to them through existing con-
servation legislation may thus be relatively limited. There is a need for regional and interna-
tional collaboration to determine how best to protect the species within the region.
Supporting information
S1 Fig. An image of whale shark taken at Al Shaheen.
(TIF)
S2 Fig. An image of a researcher satellite tagging a whale shark taken at Al Shaheen.
(TIF)
S1 Data. The satellite transmitted data for each whale shark deployed tag included in this
study.
(XLSX)
Acknowledgments
We thank everyone involved in the Qatar Whale Shark Research Project, as well as the staff at
the Qatar Ministry of Municipality and Environment (QMME), Maersk Oil Research and
Technology Centre (MORTC), the QMME Al Shamal Department, and the Qatar Coast
Guard for providing the platform to carry out field research in Qatar. We thank the MORTC
and QMME for providing the majority of financial support for the purchasing of satellite tags
and data costs. We thank the North Oil Company in Qatar for providing the financial support
to publish this paper and for joining the Qatar Whale Shark Research project as the new opera-
tor of the Al Shaheen oil field. We also thank the offshore platform workers for their continued
and dedicated support with data collection. Many thanks to the Save Our Seas Foundation, Al
Ghurair Foods and the Emirates Diving Association, Emirates Natural History Group and, Le
Meridien Al Aqah Beach Resort for providing financial support for individual satellite tags.
Christoph Rohner and Simon Pierce’s contribution to this project were supported by private
trusts, the Shark Foundation, Aqua-Firma, and Waterlust.
Figures throughout this manuscript were created using ArcGIS1software by Esri, please
visit http://www.esri.com. We acknowledge the use of free vector and raster map data sourced
from www.naturalearthdata.com.
Satellite tagging whale sharks in the Arabian Gulf
PLOS ONE | https://doi.org/10.1371/journal.pone.0185360 September 21, 2017 20 / 23
This research has made use of data and software tools provided by Wildbook for Whale
Sharks, an online mark-recapture database operated by the non-profit scientific organization
‘Wild Me’.
Author Contributions
Conceptualization: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Christoph A.
Rohner, Rima W. Jabado, Rupert Ormond, Simon J. Pierce.
Data curation: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Christoph A. Roh-
ner, Rima W. Jabado, Rupert Ormond, Simon J. Pierce.
Formal analysis: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Christoph A.
Rohner, Rima W. Jabado, Rupert Ormond, Simon J. Pierce.
Funding acquisition: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach.
Investigation: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Christoph A. Roh-
ner, Rima W. Jabado, Rupert Ormond, Simon J. Pierce.
Methodology: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Christoph A. Roh-
ner, Rima W. Jabado, Rupert Ormond, Simon J. Pierce.
Project administration: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Christoph
A. Rohner, Rima W. Jabado, Rupert Ormond, Simon J. Pierce.
Resources: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Christoph A. Rohner,
Simon J. Pierce.
Supervision: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Christoph A. Rohner,
Rima W. Jabado, Rupert Ormond, Simon J. Pierce.
Validation: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Christoph A. Rohner,
Rima W. Jabado, Rupert Ormond, Simon J. Pierce.
Visualization: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Christoph A. Roh-
ner, Rima W. Jabado, Rupert Ormond, Simon J. Pierce.
Writing – original draft: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Chris-
toph A. Rohner, Rima W. Jabado, Rupert Ormond, Simon J. Pierce.
Writing – review & editing: David P. Robinson, Mohammed Y. Jaidah, Steffen S. Bach, Chris-
toph A. Rohner, Rima W. Jabado, Rupert Ormond, Simon J. Pierce.
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Satellite tagging whale sharks in the Arabian Gulf
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... Despite their impressive size, they are rarely sighted and face numerous threats, including bycatch, vessel collisions, and changes in oceanographic conditions (Norman et There are approximately 20 recognized global hotspots for whale shark activity, many of which are seasonal feeding aggregations occurring in easily accessible surface waters (Norman et al., 2017;Reynolds et al., 2022). Noteworthy locations with such constellation include Ningaloo Reef in Australia (Taylor 1996), Belize (Young 2008), Seychelles (Rowat and Gore 2007), Madagascar (Jonahson and Harding 2007), Maldives (Kundur 2012), Mozambique (Speed et al. 2008), Mexico (Eckert and Stewart 2001), Qatar (Robinson et al. 2017), Ma a Island (Rohner et al. 2013), and St Helena (Perry 2017). These aggregations offer valuable opportunities to study the environmental factors affecting phytoplankton and zooplankton, examine how prey availability impacts whale sharks, and support the tourism industry by drawing visitors eager to observe these magni cent creatures in their natural habitat. ...
... ). This nding aligns with previous studies byRobinson et al. (2017); and Thums et al.(2012), who also reported no clear relationship between SST and whale shark presence. Whale sharks, due to their large body size, maintain a stable internal temperature, allowing them to undertake deep dives (over 1000 m) into cooler waters without experiencing high metabolic costs typically associated with thermoregulation. ...
Preprint
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The whale shark ( Rhincodon typus , Smith 1828) is among the largest fish that tends to swim at the surface in aggregation. Several locations in are known habitats for whale sharks. However, there is still a need to understand the environmental factors that influence their occurrences and sighting. This paper investigated the environmental factors essential to whale sharks' s in Kilindoni bay, Mafia. Data were collected through observations supplemented with secondary historical data sets from 2012 to 2019, including whale shark sightings and environmental variables. These datasets were obtained from the Marine Megafauna Foundation (MMF) and the Tanzania Fisheries Research Institute (TAFIRI). The Generalized Linear Model (GLM) was used to analyse 510 whale shark sighting records from October to February (2012–2019). The variables involved were sea surface temperature, zooplankton abundance, moon illumination, and weather conditions. Results revealed that weather conditions (χ2 = 10.626, df = 4, p = 0.031), zooplankton abundance (χ2 = 206.580, df = 2, p = 0.001), and moon illumination (χ2 = 7.464, df = 1, p = 0.006) are significant factors influencing the sighting of whale sharks. Sea Surface Temperature (χ2 = 0.951, df = 1, p = 0.329) was not a significant factor in the sighting of whale sharks. Generally, weather conditions, moon illumination, and zooplankton abundance were vital factors for the Mafia's distribution of whale sharks. The study recommends sustained, regular monitoring of environmental variables linked to whale sharks, reinforcing the implementation of a code of conduct for whale shark sighting, and advocating for an integrated management approach inclusive of all local stakeholders.
... Gulf geography and location of Al Shaheen Oil Field in the Economic Exclusive Zone of Qatar waters (AfterRobinson et al., 2017). ...
... Fifty-nine satellite-linked tags were placed on whale sharks in the Al Shaheen area near Qatar from 2011 to 2014 as part of other research byRobinson et al. (2017) to examine regional whale shark behavior and movements. Throughout the investigation, four distinct tag models were employed, each of which was capable of gathering various types or amounts of data. ...
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The Arabian (Persian) Gulf is home to a wide range of marine animals, including the endangered whale shark, and is impacted by a variety of environmental factors. Between June and December 2022, this study evaluated the environmental factors, qualitative and quantitative analysis of zooplankton groups, and their abundance in the Arabian Gulf's whale shark zones that are located in the Al-Shaheen Oil Field Ecosystem. The study discovered that the Gulf's high temperature, salinity and alkaline pH levels create an ideal paradoxically home for zooplankton, a crucial source of food for higher trophic levels. Environmental parameters, such as dissolved oxygen showed an increase when chlorophyll-a peaked, indicating better phytoplankton productivity. Additionally, the increasing chlorophyll-a showed an increase during the peak whale shark sighting months, indicating that large zooplankton population was consumed. In contrast to the increasing chlorophyll-a levels, the study area demonstrated characteristics of an oligotrophic environment. The richness and evenness of the zooplankton population demonstrated the significant diversity present in the area, and the biomass data revealed the significant energy accessible to higher trophic levels. Taxa were shown to be clustered based on their ecological relationships and feeding habits using multivariate analysis. To develop a more thorough knowledge of the marine environment of the Gulf, the research perspectives advise integrating phytoplankton, neuston, zooplankton, and whale shark observations, as well as thorough taxonomic analysis.
... As part of a PhD study to better understand these threatened species, the project called on divers to report sightings of Whale Shark in the region and to photograph them in order to allow for the identification of individuals. The work was focused on the UAE and Qatar to collect information on population dynamics, satellite tagging to investigate the movements of the sharks, plankton sampling to determine feeding behaviour, and remote satellite imagery to relate encounters to specific environmental conditions (e.g., Robinson et al., 2017). 3. Emirates Wildlife Society -WWF has been operating in the UAE for several decades and is part of the global World Wildlife Fund for Nature (WWF) network. ...
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In the 20 years since the IUCN SSC Shark Specialist Group’s first status report (2005), much has changed for sharks, rays and chimaeras. This report updates our understanding, and the scope of information reflects the scale of these two decades of change. The breadth of research topics has expanded, mirroring the inclusion of a greater diversity of species, and attention is being trained on the emerging threats and the accelerating global changes to aquatic ecosystems. The 2005 report heralded a sea change for sharks, rays and chimaeras, whose historical obscurity in policy, conservation and fisheries management was a serious concern. In this report, the increased focus that was called for is now apparent in the scale of work happening across the planet.
... As part of a PhD study to better understand these threatened species, the project called on divers to report sightings of Whale Shark in the region and to photograph them in order to allow for the identification of individuals. The work was focused on the UAE and Qatar to collect information on population dynamics, satellite tagging to investigate the movements of the sharks, plankton sampling to determine feeding behaviour, and remote satellite imagery to relate encounters to specific environmental conditions (e.g., Robinson et al., 2017). 3. Emirates Wildlife Society -WWF has been operating in the UAE for several decades and is part of the global World Wildlife Fund for Nature (WWF) network. ...
Technical Report
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In the 20 years since the IUCN SSC Shark Specialist Group’s first status report (2005), much has changed for sharks, rays and chimaeras. This report updates our understanding, and the scope of information reflects the scale of these two decades of change. The breadth of research topics has expanded, mirroring the inclusion of a greater diversity of species, and attention is being trained on the emerging threats and the accelerating global changes to aquatic ecosystems. The 2005 report heralded a sea change for sharks, rays and chimaeras, whose historical obscurity in policy, conservation and fisheries management was a serious concern. In this report, the increased focus that was called for is now apparent in the scale of work happening across the planet. This particular section/file focuses on the Indian Ocean. For the entire report please visit: https://portals.iucn.org/library/node/52102
... suggest low thermal sensitivity, which could be an advantage for whale sharks, because changes in temperature would have limited consequences as they move through different thermal regimes. Whale sharks appear to use behavioural thermoregulation, spending time in warm surface waters to increase body temperature after time at depth (Thums et al., 2013) or to assimilate nitrogen from prey more efficiently (Wyatt et al., 2019) or conversely in very warm waters such as the Arabian Gulf, diving to cooler waters to slow their metabolism (Thums et al., 2013;Tyminski et al., 2015;Robinson et al., 2017;Araujo et al., 2020). Our models used surface ocean temperatures to infer changes to the horizontal distribution of whale sharks. ...
... Mexico [1], Australia [2] and Philippines [3] possess largest known populations of these highly migratory marine species, although they can be widely found in all regions with tropical waters with relatively high temperature like Taiwan [4] and Indonesia [5]. Persian Gulf (Khalij-e Fars) at the south of Iran with its warmest ocean water on the planet hosts numerous species of this amazing animal during summer and winter seasons in zones with depths greater than 40 m [6]. ...
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Interaction between an animal and its habitat is one of the crucial factors in the evolution process. In aquatic environments, marine species have developed some unique morphological features with hydrodynamic consequences to overcome necessity of life over the course of million years. In this paper, hydrodynamic effects of the longitudinal-dorsal ridges covering the upper-lateral sides of whale shark's body as a prominent eidonomic characteristic of these species are studied with the aid of computational fluid dynamics (CFD). In this regard, flow physics of the problem is numerically simulated at high Reynolds number, i.e. 1.4*10^7 corresponding to the swimming of a 10 meter-whale shark at its average speed, i.e. 5km / h, using Lam-Bremhorst turbulence model. The results indicate that presence of the longitudinal ridges leads to formation of streamwise vortices which delays flow separation on the body and modifies hydrodynamic characteristics of the whale shark swimming. At sideslip angles, flow simulation results show that the ridges noticeably contribute to the 'sinking feeling' of the animal. Furthermore, spectral analysis of the unsteady simulation results in start-up phase of the whale shark's tail beating in a quiescent flow environment depict that these morphological features uniformize energy content of the vortical structures originating from the tail/caudal peduncle (not caudal fin) via suppressing of its energy peaks.
... Manta rays may avoid the AIMPA during marine heat waves, which are likely to become more frequent under the SSP5-8.5 scenario. In contrast, whale sharks appear to frequent waters of up to 36°C in the Arabian Gulf, suggesting these species thrive in warm temperatures (Robinson et al., 2017). Few studies exist that show a direct impact of ocean acidification on megafauna. ...
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... Collaborative resource management of shared marine fish resources has been shown to support effective conservation outcomes (Pomeroy et al. 2007;Mulazzani et al. 2013). Satellite telemetry in particular has been instrumental in the development and implementation of elasmobranch management measures elsewhere (Graham et al. 2016;Doherty et al. 2017;Lea et al. 2018); however, such studies in the Arabian Gulf are limited to this work and that of Robinson et al. (2017). Notwithstanding the reliance on a solitary individual, the present data suggest an extensive activity space for these critically endangered animals. ...
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The smoothnose wedgefish Rhynchobatus laevis, a shark-like ray classified as Critically Endangered by the International Union for Conservation of Nature, has received limited research attention. To address the knowledge gaps in its spatial behaviour, this study utilised satellite monitoring of a fortuitously captured female over a 51-day period in the Arabian Gulf. Based on the resulting movement track, the individual covered a minimum distance of 712 km, traversing the exclusive economic zones of three different countries. Its track began in the United Arab Emirates, from where it headed north, entering Iranian waters, where it spent most of its time, before continuing westward across the Gulf and eventually reaching Qatari waters. Novel insights into its behaviour revealed an observation of rapid ascents over the study period. Although both diurnal and nocturnal ascents were observed, they occurred predominantly during nocturnal periods. Contrary to the prevailing belief that wedgefish are bottom-associated, the study animal spent a considerable amount of time in the water column. The use of various depths in both nearshore and offshore waters highlights elevated susceptibility to multiple types of fishing gear. This underscores the need for an international cooperative approach to the management and conservation of shark-like rays in the Arabian Gulf.
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The life history of the whale shark (Rhincodon typus), including its reproductive ecology, still remains largely unknown. Here, we present results from the first whale shark population study around Darwin Island, Galapagos Marine Reserve. Following a diversified approach we characterized seasonal occurrence, population structure and size, and described habitat use of whale sharks based on fine scale movements around the island. Whale shark presence at Darwin Island was negatively correlated with Sea Surface Temperature (SST), with highest abundance corresponding to a cool season between July and December over six years of monitoring. From 2011 to 2013 we photo-identified 82 whale sharks ranging from 4 to 13.1 m Total Length (TL). Size distribution was bimodal, with a great majority (91.5%) of adult female individuals averaging 11.35 m±0.12 m (TL±SE), all but one showing signs of a potential pregnancy. Population dynamics models for apparently pregnant sharks estimated the presence of 3.76±0.90 (mean ± SE) sharks in the study area per day with an individual residence time of 2.09±0.51 (mean ± SE) days. Movement patterns analysis of four apparently pregnant individuals tracked with acoustic tags at Darwin Island revealed an intense use of Darwin's Arch, where no feeding or specific behavior has been recorded, together with periodic excursions around the island's vicinity. Sharks showed a preference for intermediate depths (20-30 m) with occasional dives mostly to mid-water, remaining the majority of their time at water temperatures between 24-25°C. All of our results point to Darwin Island as an important stopover in a migration, possibly with reproductive purposes, rather than an aggregation site. Current studies carried out in this area to investigate regional scale movement patterns may provide essential information about possible pupping grounds for this enigmatic species.
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Simple criteria to determine detachment point of towed satellite tags provide first evidence of return migrations of whale sharks (Rhincodon typus) at the Galapagos Islands, Ecuador Abstract Background: Attachment of towed, floating satellite tags to large marine organisms has provided scientists with a wealth of information on the movements of these species. These tags generally are not programmed to detach at a particular time, yet are often prone to detachment by natural means after only a few days or weeks. It is important to be able to distinguish between the tracks provided by a detached, floating tag, and one that is attached to the subject. To this end, we placed three SPOT-5 and one SPLASH tag on large female whale sharks at Darwin Island (Galapagos Islands), and compared their tracks with those of two floating SPOT-5 tags released at the same site. We present a set of criteria to determine whether a towed satellite tag encased in a float is still attached to the study organism. Results: None of the whale sharks remained in the vicinity of the island. Three of the tracks lasted 31 to 48 days, yet one shark was tracked for 167 days. This was the first recorded bona fide homing migration of a whale shark, travelling 1,650 km west then returning to Darwin four months later. Two other sharks also returned to Darwin. We found that at the time of detachment, a clear change in the daily timing and quality of transmissions became evident. This, in conjunction with daily depth and temperature summaries, and knowledge of currents and the biology of the subject, can be used to justify endpoints on tracks that continue to accrue positions as the tag floats with the currents. Conclusions: The data provided by floating tags is sufficiently distinct to be able to determine a detachment date. After detachment, daily transmissions are received in the first hours of the day after midnight (Coordinated Universal Time), the location quality of the transmissions is consistently high, and temperature or depth summaries are consistent with surface records. Prior knowledge of subject behavior and general ocean circulation patterns in the region reinforces the ability to determine detachment date. In some cases, after a prolonged period of more than three or four weeks, the detection pattern may change, yet caution should be exercised in assuming that the tag is, after all, still attached.