The Catlin Arctic Survey Team of Pen Hadow, Martin Hartley
and Ann Daniels are back to a more normal schedule of sledge hauling and
drilling, after the long awaited physical and mental boost of the re-supply.
“The long wait for the latest re-supply was very hard”,
Hadow admits now they’re all feeling better. “We spent a lot of the time sleeping once we became unable
to do anything useful on the survey front. Being very hungry, cold and without hot food has few
redeeming features but now we’re on the move again we’re reflecting on how we
did kill the time quite effectively.
Mostly with a series of rather intense conversations”.
The team were tent bound on emergency food rations for ten
days as poor weather prevented the twin otter plane landing on the runway
they’d prepared alongside their camp.
As Hartley explains, ten days of enforced lack of physical
activity allowed their tongues to exercise themselves.
“Almost no subject escaped us because there really is
absolutely nothing else to do in those circumstances”, he says. “At the beginning of the week we
talked mostly about the expedition, which we don’t often have time to do
because we’re always on the move.
Then we moved onto school days and then we found ourselves taking on
some really meaty subjects.
Anything and everything came up.
Corporal punishment, adoption and Nigel Mansell’s trophy cabinet are the
ones that stick in my mind”.
The heavier subject matter was interspersed with random
chatter. Hartley lists mackerel
fishing, Café Nero, exam results and the smell of his sleeping bag among the
topics of conversation.
“We also talked about snoring”, he remembers. “Oddly, we realised that we all
complained about each other snoring at the beginning of the expedition. But then we realised that we’d all
stopped doing it. Why that is none
of us know”.
Sounding as though they’d have done credit as guests on a
late night discussion programme, Hartley also reveals the team talked about
personal relationships, personal failures and ‘whether life ever ends.
“But we couldn’t do current affairs”, he adds ”because we
had absolutely no idea what was going on in the outside world. That’s still the same, but the tent was
our whole world for ten, long days.”
Hadow made a pack of cards from his notebook which also
helped pass the time, though the team became increasingly lethargic as the days
stretched on.
“But in spite of the cold, hunger and boredom, it wasn’t as
miserable as it seems’, Hartley concludes. “In fact that enforced time together in the tent was
uplifting in its own way.
Especially now it’s over”.
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Sky Alibhai and Zoë Jewell founded WildTrack (www.wildtrack.org)
in 2004 to develop and implement non-invasive and cost-effective methods of
monitoring endangered species. A
zoologist and veterinarian, working with Peter Law an independent mathematician
and tracker, they began to develop a footprint identification technique (FIT)
while working in Zimbabwe to help monitor the highly endangered black rhino in
Zimbabwe. FIT has since been
successfully adapted for several other species including white rhino, Bengal
tiger, lowland and Baird’s tapir, the African lion and now the Polar bear.
FIT won the Smithsonian Computerworld Honors award
in the Environment, Energy and Agriculture in 2002. WildTrack has presented and published extensively on
non-invasive approaches to wildlife monitoring. The organisation is currently based in Portugal but will be
relocating to North Carolina USA,
to work with the SAS Institute and NC State University in July
2009. WildTrack has been
generously and enthusiastically supported by SAS software since its inception.
The polar bear (Ursus maritimus) is listed as vulnerable
on the IUCN Red list 2007 (Schliebe, 2006), and is a
threatened species under the US federal Endangered Species Act. There remain only an estimated 20,000 to 25,000 Polar bears
distributed around the north pole, in territories belonging to the U.S. (Alaska), Canada, Russia, Denmark
(Greenland), and Norway. (IUCN/SSC, 2006). The Polar bear is also an
iconic species of these Arctic ecosystems, and hence a keynote species in the
‘International Polar Year’ time frame of 2007-2009. The
Polar bear needs sea ice to hunt for seals, and hence to survive (Derocher et
al, 2004; Stirling & Parkinson, 2006). Dramatic reductions in sea ice coverage (IPCC,2007) are
projected across the whole Arctic in the near future. Close and regular monitoring to manage and protect
populations is essential for the long-term survival of this species, but is not
possible under the current protocol of invasive and extremely expensive aerial Capture-Mark-Recapture
(CMR) inventories every 12-15 years.
This
frequency is clearly insufficient to inform on essential changes in Arctic
environment which might be affecting the bear populations.
Furthermore, current monitoring methods are
invasive by nature. New data are emerging which suggest that repeat
immobilizations of individuals, required to fit and maintain radio-telemetry
devices, could have negative effects on fertility and behaviour (Cattet et al., 2008, Dyck et al. 2007).
This is consistent with WildTrack research on black rhino in Zimbabwe
(Alibhai et.
al. 2001;
Alibhai & Jewell 2001, 2002) and that of others reviewed by Murray &
Fuller, 2000.
WildTrack is now in the process of developing and implementing a
non-invasive, cost-effective and sustainable approach to Polar bear
monitoring. The footprint
identification technique (Jewell et al. 2001, Alibhai & Jewell, 2008b.
2008c, Alibhai & Jewell, 2008a ), will work alongside Inuit Traditional
Ecological Knowledge (TEK) of polar bear habitat preference and behaviour, and
with non-invasive genetic census techniques to provide reliable annual
scientific data and build capacity for monitoring in Inuit communities.
The Catlin Arctic Survey and WildTrack have been
working together over the last year to take the opportunities afforded by this
expedition to collect data on Polar bear distribution along the transect. These distributions are expected to
change as climate warming accelerates, and the presence or absence of bears
along the transect line to the north pole will be recorded as baseline data for
later investigation. Footprints
collected will be classified by individual and sex, and then fed into the newly
established Polar bear footprint database to further develop and refine the
species FIT algorithm. The
expedition photographer, Martin Hartley, will take digital images of any Polar
bear footprints seen. A voice
recording tag on his camera will link essential data relating to the track
numbers, date, animal information etc to the image, and an integral GPS will
record the position of the track onto the image. Using the WildTrack photo protocol, several different
footprints will be recorded in each track found, to cover the variation in
footprints produced by an individual bear. These images will be sent, at the end of each day, directly
to the control office in London and onto the WildTrack base in Portugal for
identification and feedback.
The FIT process works in this way: Digital images
of footprints are photo-optimised and standardised and exported into JMP from
SAS business intelligence software (www.jmp.com;
www.sas.com) Landmark points are marked on the
footprint at anatomical positions, and derived points automatically placed
according to a pre-determined algorithm. More than one hundred measurements of
distance, angle and area are then taken automatically from each footprint in
customised JMP graphics window and output to a JMP data table where
multivariate statistical techniques customised for FIT by WildTrack are
employed to classify the footprint at the individual, gender and age-class
levels.
References and further reading.
Alibhai, S.K, &
Jewell, Z.C. (2008a). The development of a footprint identification technique
(FIT) for censusing and monitoring Polar bear (Ursus maritimus). Unpubl. preliminary report.
Alibhai,
S.K, & Jewell, Z.C. (2008b).
WildTrack: Using footprints to monitor endangered species. Presentation delivered at the
International Workshop on Distributed Sensing and Collective Intelligence in
Biodiversity Monitoring. Centrum
Wiskunde & Informatica (CWI), Kruislaan 413, 1098 SJ Amsterdam, The
Netherland. 3rd-5th
December 2008.
http://www.biodivgrid.org/workshop/programme.xml#additional
Alibhai, S.K., Jewell, Z.C. & Law P.R. (2008c). Identifying white rhino (Ceratotherium
simum) by a footprint identification technique, at the individual and species
levels. Endangered Species Research 4: 219-225
http://www.int-res.com/articles/esr2008/4/n004p205.pdf
Alibhai, S.K. & Jewell, Z.C. (2007) A census estimate of Lowland Tapir (Tapirus
terrestris) in the Morro de Diabo State Park, Sao Paulo State, Brazil,
using the Footprint Identification Technique (FIT). Report to P. Medici, Chair, IUCN/SSC Tapir Specialist Group.
Alibhai,
S.K. & Jewell, Z.C. (2006) Individual identification, gender and age class
determination for the lowland tapir (Tapirus terrestris) using a
footprint identification technique (FIT). Tapir specialist group newsletter
July 2006. Report to P. Medici,
Chair, IUCN/SSC Tapir Specialist Group.
Alibhai, S.K. & Jewell, Z.C. (2002). Response to Atkinson, du Toit,
Radcliffe, Dooley and Kock. In
‘The cost of information: should black rhinos be immobilized?’ Editorial by
Boyd, I.L. In J. Zool. 258: 279-280.
Alibhai, S.K. & Jewell, Z.C.
(2001). Hot under the collar: The failure of radio-collars on black rhino (Diceros bicornis). Oryx 35 (4), 284-288.
Alibhai,
S.K., Jewell Z.C. & Towindo, S.S. (2001). The effects of immobilisation on
fertility in female black rhino (Diceros
bicornis). J. Zool. 253: 333-345
Cattet, M., Boulanger, J.,
Stenhouse, G., Powell, R.A. &
Reynolds-Hogland, M.J. 2008. An
evaluation of long-term capture effects in Ursids: Implications for wildlife
welfare and research. J. of Mammalogy, 89 (4): 973-990.
Derocher, A.E., Lunn, N.J. & Stirling, I. (2004) Polar
bears in a warming climate. Integrative and Comparative Biology 2004
44(2):163-176; doi:10.1093/icb/44.2.163
Dyck, M.G., Soon, W., Baydack, R.K., Legates,
D.R., Baliunas, S., Ball, T.F. &
Hancock, L.O. 2007. Polar bears of western Hudson Bay and climate
change: are warming spring air temperatures the ‘ultimate’ survival control
factor? Ecol. Complexity 4, 73-84.
doi:10.1016/j.ecocom.2007.03.002.
Himmelsbach, V. (2008). Into the wild: A database
project like no other. Article in IT world Canada. www.itworldcanada.com http://www.itworldcanada.com/Pages/Docbase/ViewArticle.aspx?ID=idgml-37f5a882-f78f-4899-994c-4a3cbe63a533&Portal=252cc78a-a947-4072-84be-f50cac8ec48e&ParaStart=15&ParaEnd=30&direction=prev&News=Daily+ITwire&Previous=Previous
IPCC,
2007: Climate Change 2007:
The Physical Science Basis. Contribution of Working Group I to
the Fourth Assessment Report of the Intergovernmental Panel on Climate Change
(Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor
and H.L. Miller (eds.)). Cambridge University Press, Cambridge, United Kingdom
and New York, NY, USA, 996 pp.
IUCN/SSC
Polar Bear Specialist Group 2006. In Polar bears: Proceedings of the 14th
Working Meeting of the IUCN Polar Bear Specialist Group, Edited by J.
Aars, N.J. Lunn, and A.E. Derocher. IUCN, Gland, Switzerland and Cambridge,
U.K.
Jewell, Z.C. & Alibhai, S.K. (in press). Ethics and the immobilization of
animals. In the encyclopedia of
animal rights and animal welfare.
Greenwood Publishing Group.
Jewell, Z.C., Alibhai S.K.,
& Law, P.R. (2001). Censusing
and monitoring black rhino (Diceros
bicornis) using an objective spoor (footprint) identification technique, J.
Zool. 254: 1-16
Murray,
D. L. & Fuller, T. K.( 2000) A Critical Review of the Effects of
Marking on the Biology of Vertebrates, in Research Techniques in
Animal Ecology: Controversies and Consequences, Boitani, L. & Fuller,
T. K. (eds.), Columbia University Press, NY.
Schliebe, S. Wiig, Ø., Derocher,
A. & Lunn, N. 2006. Ursus maritimus. In: IUCN 2007. 2007 IUCN Red
List of Threatened Species.
www.iucnredlist.org.
Stirling,
I. and Parkinson, C.L. 2006. Possible effects of climate warming on
selected populations of polar
bears (Ursus maritimus) in the Canadian Arctic. Arctic 59: 261-275.
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