Estimating population abundance using counts from an auxiliary population

Environmental and Ecological Statistics - Tập 27 - Trang 509-526 - 2020
Matthew R. P. Parker1, Vivian Pattison2,3, Laura L. E. Cowen1
1Mathematics and Statistics, University of Victoria, Victoria, Canada
2Geography, University of Victoria, Victoria, Canada
3Laskeek Bay Conservation Society, Queen Charlotte, Canada

Tóm tắt

We develop a new method for estimating population abundance for notoriously difficult to count populations. This is made possible using an easy to count auxiliary population with a known link to the target population under the framework of a layered hidden Markov model. We apply the new methods to estimate the breeding population of an Ancient Murrelet seabird colony, using Ancient Murrelet chicks as an auxiliary population. We compare our results to those of the established survey methodology from the Canadian Wildlife Service (CWS), which similarly shows a decrease in population over 1995 to 2006. Our methods improve upon the CWS survey methods by allowing density differences across sampling sites, and by allowing estimates to be made between CWS survey years.

Tài liệu tham khảo

Barker RJ, Schofield MR, Link WA, Sauer JR (2018) On the reliability of \(N\)-mixture models for count data. Biometrics 74:369–377 Belant JL, Bled F, Wilton CM, Fyumagwa R, Mwampeta SB, Beyer DE (2016) Estimating lion abundance using \(N\)-mixture models for social species. Sci Rep 6:35920 Core Team R (2017) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna Cowen LE, Besbeas P, Morgan BJT, Schwarz CJ (2017) Hidden Markov models for extended batch data. Biometrics 73:1321–1331 Dail D, Madsen L (2011) Models for estimating abundance from repeated counts of an open metapopulation. Biometrics 67:577–587 Efron B, Tibshirani R (1993) An Introduction to the Bootstrap. Chapman and Hall/CRC, Boca Raton Esri (2014) ArcGIS ArcMap Release 10. Environmental Systems Research Institute, Redlands, CA. https://www.esri.com/en-us/home Fernández-Fontelo A, Cabaña A, Puig P, Moriña D (2016) Under-reported data analysis with INAR-hidden Markov chains. Stat Med 35:4875–4890 Fiske I, Chandler R (2011) Unmarked: an R package for fitting hierarchical models of wildlife occurrence and abundance. J Stat Softw 43:1–23 Gaston AJ (ed) (2013) Laskeek Bay Research 17. Laskeek Bay Conservation Society Scientific Report, Laskeek Bay Conservation Society, Queen Charlotte City, B.C Gaston AJ (1990) Population parameters of the Ancient Murrelet. The Condor 92:998–1011 Gaston AJ (2007) Changes in numbers and breeding biology of Ancient Murrelets at East Limestone Island, 1990–2006. In: Gaston AJ (ed) Laskeek Bay Research 15. Laskeek Bay Conservation Society, Queen Charlotte City, B.C., pp 39–54 Gaston AJ, Descamps S (2011) Population change in a marine bird colony is driven by changes in recruitment. Avian Conserv Ecol 6:5 Gaston AJ, Smith JL (2001) Changes in oceanographic conditions off northern British Columbia (1983–1999) and the reproduction of a marine bird, the Ancient Murrelet (Synthliboramphus antiquus). Can J Zool 79:1735–1742 Gaston AJ, Jones IL, Noble DG, Smith SA (1988) Orientation of Ancient Murrelet, Synthliboramphus antiquus, chicks during their passage from the burrow to the sea. Anim Behav 36:300–303 Kéry M (2017) Identifiability in \(N\)-mixture models: a large-scale screening test with bird data. Ecology 99:281–288 Lebreton J, Burnham KP, Clobert J, Anderson DR (1992) Modeling survival and testing biological hypotheses using marked animals: a unified approach with case studies. Ecol Monogr 62:67–118 Lemon MJF (2007) East Limestone Island Ancient Murrelet Colony Survey, June 2007. In: Gaston AJ (ed) Laskeek Bay Research 15. Laskeek Bay Conservation Society, Queen Charlotte City, B.C., pp 67–86 Lyons JE, Royle JA, Thomas SM, Elliott-Smith E, Evenson JR, Kelly EG, Milner RL, Nysewander DR, Andres BA (2012) Large-scale monitoring of shorebird populations using count data and \(N\)-mixture models: Black Oystercatcher (Haematopus bachmani) surveys by land and sea. The Auk 129:645–652 Major H, Chubaty A (2012) Estimating colony and breeding population size for nocturnal burrow-nesting seabirds. Mar Ecol Progress Ser 454:83–90 Nichols JD, Hines JE, Lebreton JD, Pradel R (2000) Estimation of contributions to population growth: a reverse-time capture-recapture approach. Ecology 81:3362–3376 Ó Cadhla O, Keena T, Strong D, Duck C, Hiby L (2013) Monitoring of the breeding population of grey seals in Ireland, 2009 – 2012. Irish Wildlife Manuals No. 74. National Parks and Wildlife Service, Department of the Arts, Heritage and the Gaeltacht, Dublin, Ireland Oliver N, Garg A, Horvitz E (2004) Layered representations for learning and inferring office activity from multiple sensory channels. Comput Vis Image Understand 96:163–180 Parker M, Pattison V, Cowen L (2018) Mrparker909/ANMU-Code: ANMU-Code Release v1.0. Zenodo Rodway MS, Lemon MJF, Kaiser GW (1988) British Columbia seabird colony inventory: report #1-East Coast Moresby Island. Pacific and Yukon Region, B.C Royle JA (2004) \(N\)-mixture models for estimating population size from spatially replicated counts. Biometrics 60:108–115 Ward RJ, Griffiths RA, Wilkinson JW, Cornish N (2017) Optimising monitoring efforts for secretive snakes: a comparison of occupancy and \(N\)-mixture models for assessment of population status. Sci Rep 7:18074 Wit E, Heuvel E, Romeijn J (2012) ‘All models are wrong...’: an introduction to model uncertainty. Statistica Neerlandica 66:217–236