Abstract
Reliable population estimates are needed for the conservation management of seabird populations. Failing to account for detection probability in surveys often leads to underestimate population size and, if detection probability varies among surveys, to bias the estimated trends. This is particularly relevant for storm petrels, which are widespread small burrow- or cavity-nesting seabirds, which have low detection probabilities on land and at sea and whose population status and trends are the least known among seabirds. Here, we used the distance sampling method to estimate detection probability and breeding population size of the cavity-nesting Wilson’s Storm Petrel (Oceanites oceanicus) in the Pointe Géologie archipelago, East Antarctica. Detection probability was 0.353 ± 0.053 and the average density of active nests was 45.53 ± 15.63 nests/ha. The proportion of nests occupied by breeders was estimated using an endoscope on a sample of nests and was 0.455 ± 0.053. The breeding population was estimated to be 793 (95% CI 344–1359) breeding pairs in January 2016. We advocate the distance sampling method as a robust approach to estimate abundance of breeding Wilson’s Storm Petrels in Antarctica. Comparison with an earlier survey suggests that the population has decreased over the past 30 years, possibly partly due to a reduction in nesting habitat following the extension of the surface area occupied by penguin colonies.
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References
Ainley DG (2002) The Adélie Penguin: bellwether of climate change. Columbia University Press, New York
Anderson DR (2003) Response to Engeman: index values rarely constitute reliable information. Wildl Soc B 31:288–291
Barbraud C, Delord K, Marteau C, Weimerskirch H (2009) Estimates of population size of White-chinned Petrels and Grey Petrels at Kerguelen Islands and sensitivity to fisheries. Anim Conserv 12:258–265
Bart J, Fligner MA, Notz WI (1998) Sampling and statistical methods for behavioural ecologists. Cambridge University Press, Cambridge
Beck JR, Brown DW (1972) The biology of Wilson’s storm petrels Oceanites oceanicus (Kuhl) at Signy Island, South Orkney Islands. Br Antarct Surv Sci Rep 69:1–54
Bolton M, Brown JG, Moncrieff H, Ratcliffe N, Okill JD (2010) Playback re-survey and demographic modelling indicate a substantial increase in breeding European Storm-petrels Hydrobates pelagicus at the largest UK colony, Mousa, Shetland. Seabird 23:14–24
Brooke M (2004) Albatrosses and petrels across the world. Oxford University Press, Oxford
Buckland ST, Anderson DR, Burnham KP, Laake JL, Borchers DL, Thomas L (2001) Introduction to distance sampling: estimating abundance of biological populations. Oxford University Press, Oxford
Buckland ST, Anderson DR, Burnham KP, Laake JL, Borchers DL, Thomas L (2004) Advanced distance sampling: estimating abundance of biological populations. Oxford University Press, Oxford
Burnham KP, Anderson DR (2002) Model selection and multinomial inference. Springer, New York
Chapman DG (1951) Some properties of the hypergeometric distribution with applications to zoological sample censuses. Univ Calif Publ Stat 1:131–159
Chastel O, Weimerskirch H, Jouventin P (1993) High annual variability in reproductive success and survival of an Antarctic seabird, the snow petrel Pagodroma nivea: a 27-year study. Oecologia 94:278–285
Copestake PG, Croxall JP, Prince PA (1988) Use of cloacal sexing techniques in mark-recapture estimates of breeding population size in Wilson’s stormpetrel Oceanites oceanicus. Polar Biol 8:271–279
Croxall JP, Butchart SHM, Lascelles B, Stattersfield AJ, Sullivan B, Symes A, Taylor P (2012) Seabird conservation status, threats and priority actions: a global assessement. Bird Conserv Int 22:1–34
Diefenbach DR, Marshall MR, Mattice JA, Brauning DW (2007) Incorporating availability for detection in estimates of bird abundance. Auk 124:96–106
Frederiksen M, Edwards M, Richardson AJ, Halliday NC, Wanless S (2006) From plankton to top predators: bottom-up control of a marine food web across four trophic levels. J Anim Ecol 75:1259–1268
Gerrodette T (1987) A power analysis for detecting trends. Ecology 68:1364–1372
Hounsome MV, Insley H, Elliott S, Graham KL, Mayhew P (2006) Monitoring European storm-petrels Hydrobates pelagicus: a comparison of the results provided by mark/recapture and tape response methods. Atl Seab 8:5–20
Isaksen K, Bakken V (1995) Estimation of the breeding density of little auk (Alle alle). In Isaksen K, Bakken V (eds) Seabird populations in the Northern Barents Sea. Meddelelser 135, Norsk Polarinstitutt, Oslo, pp 37–48
Jenouvrier S, Barbraud C, Weimerskirch H (2006) Sea ice affects the population dynamics of Adélie penguins in Terre Adélie. Polar Biol 29:413–423
Lacan F (1971) Observations écologiques sur le pétrel de Wilson (Oceanites oceanicus) en Terre Adélie. Oiseau RFO 41:65–89
Lawton K, Robertson G, Kirkwood R, Valencia J, Schlatter R, Smith D (2006) An estimate of population sizes of burrowing seabirds at the Diego Ramirez archipelago, Chile, using distance sampling and burrow-scoping. Polar Biol 29:229–238
Marchant S, Higgins PJ (1990) Handbook of Australian, New Zealand and Antarctic Birds. Ratites to ducks, vol 1. Oxford University Press, Melbourne
Matthews LH (1949) The origin of stomach oils in the petrels, with comparative observations on the avian proventriculus. Ibis 91:373–392
Micol T, Jouventin P (2001) Long-term population trends in seven Antarctic seabirds at Pointe Géologie (Terre Adélie): human impact compared with environmental change. Polar Biol 24:175–185
Montevecchi WA (1993) Birds as indicators of change in marine prey stocks. In: Furness RW, Greenwood JJD (eds) Birds as monitors of environmental change. Chapman & Hall, London, pp 217–266
Mougin JL (1968) Etude écologique de quatre espèces de petrels antarctiques. Oiseau RFO 38:1–52
Nichols JD, Hines JE, Sauer JR, Fallon FW, Fallon JE, Heglund PJ (2000) A double-observer approach for estimating detection probability and abundance from point counts. Auk 117:393–408
Olivier F, Wotherspoon SJ (2006) Distribution and abundance of Wilson’s storm petrels Oceanites oceanicus at two locations in East Antarctica: testing habitat selection models. Polar Biol 29:878–892
Orgeira JL (1997) Nidificacion y habitat del Petrel de Wilson (Oceanites oceanicus) en Puerta Cierva, Costa de Danco, Peninsula Antarctica. Ornithol Neotropical 8:49–56
Parker GC, Rexer-Huber K (2016) Guidelines for designing burrowing petrel surveys to improve population estimate precision. Agreement on the Conservation of Albatrosses and Petrels. http://www.acap.aq/en/resources/acap-conservation-guidelines. Accessed 13 Jan 2017
Pryor ME (1968) The avifauna of Haswell Island, Antarctica. Antarct Res Ser 12:191–212
Quillfeldt P (2001) Variation in breeding success in Wilson’s storm petrels: influence of environmental factors. Antarct Sci 13:400–409
Ratcliffe N, Vaughan D, Whyte C, Shepherd M (1998) Development of playback census methods for Storm Petrels Hydrobates pelagicus. Bird Study 45:302–312
Reyes-Arriagada R, Campos-Ellwanger P, Schlatter RP, Baduini C (2007) Sooty shearwater (Puffinus griseus) on Guafo Isla, d: the largest seabird colony in the world? Biodivers Conserv 16:913–930
Roberts B (1940) The life cycle of Wilson’s storm petrel Oceanites oceanicus (Kuhl). Scient Rep Br Graham Ld Exped 2:141–194
Sanz-Aguilar A, Massa B, Lo Valco F, Oro D, Minguez E, Tavecchia G (2009) Contrasting age-specific recruitment and survival at different spatial scales: a case study with the European storm petrel. Ecography 32:637–646
Soanes LM, Thomas RJ, Bolton M (2012) Evaluation of field and analytical methods for estimating the population size of burrow-nesting seabirds from playback surveys. Bird Study 59:353–357
Southwell DM, Einoder LD, Emmerson LM, Southwell CJ (2011) Using the double-observer method to estimate detection probability of two cavity-nesting seabirds in Antarctica: the snow petrel (Pagodroma nivea) and the Wilson’s storm petrel (Oceanites oceanicus). Polar Biol 34:1467–1474
Sydeman WJ, Nur N, McLaren EB, McChesney GJ (1998) Status and trends of the ashy storm-petrel on southeast Farallon Island, California, based upon capture-recapture analyses. Condor 100:438–447
QGIS Development Team (2013) QGIS Geographic Information System. Open Source Geospatial Foundation. http://qgis.osgeo.org
Thomas T (1986) L’effectif des oiseaux nicheurs de l’archipel de Pointe Géologie (Terre Adélie) et son évolution au cours des trente dernières années. Oiseau RFO 56:349–368
Thomas L, Laake JL, Rexstad E, Strindberg S, Marques FFC, Buckland ST, Borchers DL, Anderson DR, Burnham KP, Burt ML, Hedley SL, Pollard JH, Bishop JRB, Marques TA (2009) Distance 6.0. Release 2. Research Unit for Wildlife population Assessment, University St Andrews, UK
Warham J (1977) The incidence, function and ecological significance of petrel stomach oils. Proc NZ Ecol Soc 24:84–93
Warham J (1990) The petrels: their ecology and breeding systems. Academic Press, London
Warham J, Watts R, Daintry RJ (1976) The composition, energy content and function of the stomach oils of petrels (order Procellariiforms). J Exp Mar Biol Ecol 23:1–13
Wasilewski A (1986) Ecological aspects of the breeding cycle in the Wilson’s storm petrel, Oceanites oceanicus (Kuhl), at King George Island (South Shetland Islands, Antarctica). Pol Polar Res 7:173–216
Williams BK, Nichols JD, Conroy MJ (2002) Analysis and management of animal populations. Academic Press, San Diego
Acknowledgements
This project was supported by the French Polar Institute (IPEV, program 109, H. Weimerskirch) and Terres Australes et Antarctiques Françaises. We thank Duane R. Diefenbach and five anonymous reviewers for very helpful comments that improved the manuscript.
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Barbraud, C., Vasseur, J. & Delord, K. Using distance sampling and occupancy rate to estimate abundance of breeding pairs of Wilson’s Storm Petrel (Oceanites oceanicus) in Antarctica. Polar Biol 41, 313–322 (2018). https://doi.org/10.1007/s00300-017-2192-2
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DOI: https://doi.org/10.1007/s00300-017-2192-2