Distance sampling surveys: enabling better decision-making by wildlife managers
Submitting Institution
University of St AndrewsUnit of Assessment
Mathematical SciencesSummary Impact Type
TechnologicalResearch Subject Area(s)
Mathematical Sciences: Statistics
Summary of the impact
Reliable estimates of the size of natural populations are required by
national and regional
governments for management and conservation, by international commissions
that manage natural
resources, and by NGOs. Distance sampling, in which distances of animals
from a line or point are
sampled, is the most widely-applicable technique for obtaining such
estimates. Statisticians at St
Andrews are the acknowledged world-leaders in the development and
dissemination of distance
sampling survey methods. Their software Distance is the industry
standard and has over 30,000
registered users from around 115 countries. The methodological
developments and associated
software have allowed better-informed decisions to be made in the
management and conservation
of populations as diverse as whales, seals, fish, elephants, apes, deer,
birds, ants, trees and
flowering plants.
Underpinning research
Distance sampling is a suite of techniques for estimating the size and/or
spatial density of animal
and plant populations from transect surveys. In the early 1990s, a
`Distance team' was
established, comprising Prof ST Buckland (then at BioSS in Aberdeen),
Anderson, Burnham and
Laake (Colorado), to develop software and establish good practice. After
Buckland's move to St
Andrews in October 1993, Dr DL Borchers (Reader) and Dr L Thomas (Reader)
were added to the
team in December 1993 and April 1997, respectively, with Thomas taking
responsibility for
software development1. Since 2001, with the exception of
ongoing contributions by Laake (mostly
in the area of double-platform methods) and Fewster (Auckland, but a PhD
student at St Andrews
1995-98), the active members of the team have all been at St Andrews. The
key researchers are
Borchers, Buckland, Thomas and Dr EA Rexstad (Research Fellow since 2005).
We have actively extended the applicability of distance sampling so that
populations that violate
the standard assumptions (perfect detection on the transect, no movement,
distances measured
without error, lines placed independently or animal locations), or are
prohibitively expensive to
survey by standard methods, can be reliably assessed. Since 2001, we have
published
methodological advances in 2 OUP books and in a wide range of statistical
and biological journals:
1 paper in JASA, 7 in Biometrics, 4 in JABES, 4 in J Appl Ecol, 4 in J
Acoustical Soc of America,
and 1 each in Applied Statistics and J Ornith. We pick out a few
highlights here.
Buckland recruited 3 research students (1 in 1995 and 2 in 1996) to
develop 3 aspects of distance
sampling: multiple-covariate distance sampling, spatial distance sampling
and automated survey
design. In parallel with their work, an introductory distance sampling
book was prepared, and was
published by OUP in 2001. It set out standards for conventional distance
sampling, based on
research conducted in the 1980s and 1990s. Subsequent developments of the
team appeared in
an advanced book in 20042. The work on spatial distance
sampling methods3 has sparked much
interest, and several groups have published papers developing the approach
further. The methods
allow density of animals to be related to geographical covariates that
quantify habitat, topography,
management practices, etc. Meanwhile, Borchers developed in a series of
papers methods for
when animals (such as whales) on the transect line are not certain to be
detected, culminating in a
comprehensive methodological framework for mark-recapture distance
sampling4. The concept of
`point independence', covered in detail in that paper, was extended to
that of `limiting
independence' subsequently5. Borchers' work was further
extended to accommodate stochastic
animal availability by embedding a Markov-modulated Poisson process model
for availability into
the distance sampling detection process model6.
References to the research
1Thomas, L., Buckland, S.T., Rexstad, E.A., Laake, J.L.,
Strindberg, S., Hedley, S.L., Bishop,
J.R.B., Marques, T.A. and Burnham, K.P. 2010. Distance software:
design and analysis of
distance sampling surveys for estimating population size. J. App. Ecol.
47, 5-14.
378 citations in Google Scholar (August 2013). DOI: 10.1111/j.1365-2664.2009.01737.x
2Buckland, S.T., Anderson, D.R., Burnham, K.P., Laake, J.L.,
Borchers, D.L. and Thomas, L. (eds)
2004. Advanced Distance Sampling. Oxford University Press, Oxford.
419 citations in Google
Scholar (August 2013); the 2001 introductory book had 2323 citations.
3Hedley, S.L. and Buckland, S.T. 2004. Spatial models for line
transect sampling. Journal of
Agricultural, Biological and Environmental Statistics 9,
181-199. DOI: 10.1198/1085711043578
Selected as best JABES paper, 2004-05.
4Borchers, D.L., Laake, J.L., Southwell, C. and Paxton, C.G.M.
2006. Accommodating unmodeled
heterogeneity in double-observer distance sampling surveys. Biometrics
62, 372-378. DOI:
10.1111/j.1541-0420.2005.00493.x
5Buckland, S.T., Laake, J.L. and Borchers, D.L. 2010.
Double-observer line transect methods:
levels of independence. Biometrics 66, 169-177. DOI: 10.1111/j.1541-0420.2009.01239.x
6Langrock, R., Borchers, D.L. and Skaug, H. Markov-modulated
nonhomogeneous Poisson
processes for modeling detections in surveys of marine mammal abundance.
2013. Journal of the
American Statistical Association. DOI: 10.1080/01621459.2013.797356
Outputs 2, 3 and 4 were submitted to RAE2008 under UoA22, for which the
unit scored 2.65
overall for publications, with 95% of outputs scored at 2* or greater.
Outputs 3, 4 and 6 best
indicate the quality of the underpinning research.
Details of the impact
The distance sampling methods developed at the University of St Andrews
are widely used for
managing the catch or cull of natural resources (e.g. fisheries, deer),
for monitoring the status of
populations of conservation concern (e.g. elephants, apes, whales, polar
bears), and for routine,
often statutory, monitoring (e.g. UK Breeding Bird Survey, which feeds
into the Wild Bird Indicator,
one of 15 headline Quality of Life Indicators adopted by Defra).
Organisations that have
sponsored the development of our software Distance include the US
Navy (US$455K during 2008-13),
and, prior to 2008, the US Office of Naval Research, US National Park
Service, Fisheries and
Oceans Canada, and the Wildlife Conservation Society. Distance is
the global industry standard
with over 30,000 registered users from around 115 countries.[S6]
The Distance team at St Andrews has disseminated its work through a
multi-pronged strategy:
1. Publish methodological developments in top journals. 2. Publish
introductory and advanced
texts. 3. Provide user-friendly software Distance. 4. Provide
training workshops (42 workshops
during 1999-2012, attended by 833 participants — mostly non-academic —
from 73 countries). 5.
Publish papers in ecology and taxon-specific journals, targeting wildlife
managers, that promote
best practice, e.g. for dung and nest surveys (primarily used to assess
deer and ape populations
respectively, two papers in J App Ecol), primate surveys (two papers in
Int J Primatology), bird
surveys (two papers in The Auk and one in Bird Conservation
International), whale surveys in
geographically-complex regions (J Cetacean Res & Mgt), aerial surveys
of seabirds (J App Ecol),
and acoustic surveys (Biological Reviews).
As a result of this extensive dissemination, our Distance
software and distance sampling methods
are used for a wide range of surveys. In an editorial in J Appl Ecol[S7],
the large number of citations
to the paper describing Distance software (Thomas et al., 2010) is
noted, and the editors state:
"This academic impact is likely to translate into improved assessment of
population densities by
scientists worldwide and thence to better management decision-making."
Here, we list just a few
surveys that use our methods and software. For cetaceans, these include
ongoing cetacean
surveys conducted by NOAA in North America (e.g.[S8]) and under
the auspices of the International
Whaling Commission. Examples of surveys of endangered populations, for
which abundance
estimates are needed both to assess the risk of extinction and to monitor
the success or otherwise
of management action, and for which we developed tailor-made methods,
include cotton-top
tamarins (first large-scale surveys, results published in Nature
Communications in 2010); passive
acoustic surveys of North Pacific right whales (published in Endangered
Species Research in
2011); and Key Largo woodrat surveys (published in Methods in Ecology
and Evolution in 2012).
Large-scale terrestrial surveys include the Pan Africa Great Ape Program
(launched in 2010) and
the ongoing Monitoring the Illegal Killing of Elephants Project. In the
UK, the ongoing national
Breeding Bird Survey (http://www.bto.org/volunteer-surveys/bbs)
is analysed using our methods[S9].
Acoustic distance sampling methods are beginning to see wide use — e.g.
the US$1.5m DECAF
project (completed 2011) was jointly funded by the US government
environmental regulation
agency NOAA and by the International Association of Oil and Gas
Industries, as the methods are
needed for monitoring seismic exploration and oil production fields. Our
methods also form the
basis of the €4.2 million EU-Life funded SAMBAH project (started 2010),
which aims to use a grid
of 300 static acoustic monitoring devices to estimate, for the first time,
density and distribution of
the endangered Baltic harbour porpoise population.
The US Office of Naval Research has sponsored the Distance
software, and continues to fund the
development of acoustic survey methods. The Head, Marine Science Branch,
Energy and
Environmental Readiness Division, US Navy[S1] comments: "The
CREEM group's work on survey
design and analysis has found widespread application in addressing
important research and
environmental stewardship issues by several US federal Government
agencies, including the Navy... a sign of the strength and merit of Distance
is the adaptability of distance methods to the
assessment of environmental risk from a wide range of human activities,
including naval training
and exercise. ... The CREEM group's clever and innovative adaptations of
distance methods to
passive acoustic sensing has opened an entirely new and highly exciting
field of research and
environmental monitoring that will pay huge dividends for decades to come.
... Thank you for this
opportunity to document the tremendous impacts that distance methods and
the combined
expertise of the CREEM group have had on the way the US Navy, and many
others, now address
their environmental stewardship responsibilities ..."
The Chief Science Advisor and Director of Scientific Programs at the US
National Marine Fisheries
Service (NOAA)[S2] confirms the importance of our work in
enabling them to complete mandatory
assessments: "Under the US Marine Mammal Protection Act, NOAA Fisheries is
mandated to
maintain marine mammal populations ... You ... have had a profound impact
on our ability to fulfil
our mandates through your research, software development and support, and
training. The
software Distance is used throughout our organization ... Your
research on acoustic applications of
distance sampling and double-observer surveys has been particularly
important ..."
The Head of Science, International Whaling Commission[S3],
confirms the impact of our work on the
conservation and management of cetacean populations: "Key developments by
CREEM
scientists, together with incorporation of these developments into later
versions of your software,
have ensured that abundance estimation for most stocks is now relatively
uncontroversial. ... the
work of CREEM on matters related to cetacean abundance estimation using
distance sampling
techniques has been of immeasurable value to our work and cetacean
conservation. The
theoretical and practical developments that have arisen from CREEM
scientists represent a
remarkable degree of innovation from a single group. In my opinion this is
unrivalled by any other
group working in the field. The impact on the conservation and management
has been profound
and I look forward to continued collaboration between us in the future."
The Director, Conservation Support at the Wildlife Conservation Society[S4],
notes that they use our
methods and software to assess diverse populations, including elephants,
great apes and other
species at risk of poaching in Central Africa, primates, ungulates and
cranes in Asia, and
cetaceans in Africa and Asia. He concludes: "We pride ourselves in using
rigorous science to
inform our conservation work. The continuously improving wildlife
estimation techniques and
associated software that results from the research done by you and your
colleagues at St Andrews
helps us to do this well."
The Scientific Secretary, North Atlantic Marine Mammal Commission[S5],
comments: "... work
carried out at CREEM has had a significant impact on the efficiency of
stock management within
the NAMMCO countries. Reliable and improved methods for providing
estimates of abundance ...
form the essential tool using which NAMMCO scientists provide management
advice on the stocks
under NAMMCO jurisdiction."
Sources to corroborate the impact
[S1] Letter on file from Head, Marine Science Branch, Energy
and Environmental Readiness
Division, US Navy, Pentagon.
[S2] Letter on file from Chief Science Advisor and Director of
Scientific Programs at the US National
Marine Fisheries Service (NOAA).
[S3] Letter on file from Head of Science, International
Whaling Commission.
[S4] Letter on file from Director, Conservation Support at the
Wildlife Conservation Society.
[S5] Letter on file from Scientific Secretary, North Atlantic
Marine Mammal Commission.
[S6] Distance home page. http://www.ruwpa.st-and.ac.uk/distance/.
Confirms number of registered
users as over 30,000. See http://www.ruwpa.st-and.ac.uk/distance/distanceusers.html
for a
summary of use and http://www.ruwpa.st-and.ac.uk/distance/distancelist.html
for the distance
sampling listserver, with over 800 members.
[S7] Milner-Gulland, E.J., Barlow, J., Cadotte, M.W., Hulme,
P.E., Kerby, G. and Whittingham, M.J.
(2012) Ensuring applied ecology has impact. Journal of Applied Ecology
49, 1-5. DOI:
10.1111/j.1365-2664.2011.02102.x
Confirms that our methods lead to better decision-making in
the management of wild animal populations.
[S8] Gerrodette, T., Taylor, B.L., Swift, R., Rankin, S.,
Jaramillo-Legorreta, A.M. and Rojas-Bracho,
L. (2011) A combined visual and acoustic estimate of 2008 abundance, and
change in abundance
since 1997, for the vaquita, Phocoena sinus. Marine Mammal
Science 27, E79-E100.
DOI: 10.1111/j.1748-7692.2010.00438.x
Confirms use of our methods in NOAA surveys to help
manage marine mammal populations.
[S9] Newson, S.E., Evans, K.L., Noble, D.G., Greenwood, J.J.D.
and Gaston, K.J. (2008) Use of
distance sampling to improve estimates of national population sizes for
common and widespread
breeding birds in the UK. Journal of Applied Ecology 45,
1330-1338. DOI: 10.1111/j.1365-2664.2008.01480.x
Confirms use of our methods in the UK Breeding Bird Survey.