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The Basic Methods

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Distance Sampling: Methods and Applications

Part of the book series: Methods in Statistical Ecology ((MISE))

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Abstract

One of the most common and pervasive questions in applied ecology relates to the size of a given population. How many animals are there? The question is intrinsically interesting, but perhaps even more important from an applied perspective, the actual answer has implications for most ecological processes affecting that population. The effective management of a population is not possible without knowing at least approximately how many individuals it includes. As an example, for a small population, a given mortality rate due to a newly introduced human disturbance might be important and a matter of concern, quickly leading the population to local extinction, but essentially not ecologically relevant for an abundant population. Therefore, knowledge about abundance is required to adequately interpret a wide variety of ecological processes affecting a given population.

The original version of this chapter was revised. An erratum to this chapter can be found at https://doi.org/10.1007/978-3-319-19219-2_14.

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References

  • Able, K. P. (1977). The flight behaviour of individual passerine nocturnal migrants: A tracking radar study. Animal Behaviour 25, 924–935.

    Article  Google Scholar 

  • Acevedo, P., J. Ferreres, R. Jaroso, M. Durán, M. Escudero, J. Marco, and C. Gortázar (2010). Estimating roe deer abundance from pellet group counts in Spain: An assessment of methods suitable for Mediterranean woodlands. Ecological Indicators 10, 1226–1230.

    Article  Google Scholar 

  • Acosta, C. A. and S. A. Perry (2000). Effective sampling area: a quantitative method for sampling crayfish populations in freshwater marshes. Crustaceana 73, 425–431.

    Article  Google Scholar 

  • Alldredge, M. W., K. Pacifici, T. R. Simons, and K. H. Pollock (2008). A novel field evaluation of the effectiveness of distance and independent observer sampling to estimate aural avian detection probabilities. Journal of Applied Ecology 45, 1349–1356.

    Article  Google Scholar 

  • Alldredge, M. W., K. H. Pollock, T. Simons, and S. A. Shriner (2007). Multiple-species analysis of point count data: a more parsimonious modeling framework. Journal of Applied Ecology 44, 281–290.

    Article  Google Scholar 

  • Alldredge, M. W., T. R. Simons, and K. H. Pollock (2007). A field evaluation of distance measurement error in auditory avian point count surveys. Journal of Wildlife Management 71, 2759–2766.

    Article  Google Scholar 

  • Alpizar-Jara, R. (1997). Assessing Assumption Violation in Line Transect Sampling. Ph. D. thesis, North Carolina State University, Raleigh.

    Google Scholar 

  • Alves, J., A. A. da Silva, A. M. Soares, and C. Fonseca (2013). Pellet group count methods to estimate red deer densities: Precision, potential accuracy and efficiency. Mammalian Biology  — Zeitschrift für Saügetierkunde 78, 134–141.

    Google Scholar 

  • Anderson, D. R., K. P. Burnham, G. C. White, and D. L. Otis (1983). Density estimation of small-mammal populations using a trapping web and distance sampling methods. Ecology 64, 674–680.

    Article  Google Scholar 

  • Arranz, P., D. L. Borchers, N. A. de Soto, M. P. Johnson, and M. J. Cox (2014). A new method to study inshore whale cue distribution from land-based observations. Marine Mammal Science 30, 810–818.

    Article  Google Scholar 

  • Baccaro, F. B. and G. Ferraz (2012). Estimating density of ant nests using distance sampling. Insectes Sociaux 60, 103–110.

    Article  Google Scholar 

  • Barlow, J. and B. Taylor (2005). Estimates of sperm whale abundance in the northeastern temperate Pacific from a combined acoustic and visual survey. Marine Mammal Science 21, 429–445.

    Article  Google Scholar 

  • Barlow, J., P. L. Tyack, M. P. Johnson, R. W. Baird, G. S. Schorr, R. D. Andrews, and N. A. de Soto (2013). Trackline and point detection probabilities for acoustic surveys of Cuvier’s and Blainville’s beaked whales. The Journal of the Acoustical Society of America 134, 2486–2496.

    Article  Google Scholar 

  • Barnes, R. F. W. (2001). How reliable are dung counts for estimating elephant numbers? African Journal of Ecology 39, 1–9.

    Article  Google Scholar 

  • Barnes, R. F. W. and K. L. Barnes (1992). Estimating decay rates of elephant dung-piles in forest. African Journal of Ecology 30, 316–321.

    Article  Google Scholar 

  • Barnes, R. F. W., A. Blom, M. P. T. Alers, and K. L. Barnes (1995). An estimate of the numbers of forest elephants in Gabon. Journal of Tropical Ecology 11, 27–37.

    Article  Google Scholar 

  • Baumgartner, M. F. and D. M. Fratantoni (2008). Diel periodicity in both sei whale vocalization rates and the vertical migration of their copepod prey observed from ocean gliders. Limnology and Oceanography 53, 2197–2209.

    Article  Google Scholar 

  • Baumgartner, M. F., D. M. Fratantoni, T. P. Hurst, M. W. Brown, T. V. N. Cole, S. M. Van Parijs, and M. Johnson (2013). Real-time reporting of baleen whale passive acoustic detections from ocean gliders. The Journal of the Acoustical Society of America 134, 1814–1823.

    Article  Google Scholar 

  • Becker, E. F. and P. X. Quang (2009). A gamma-shaped detection function for line-transect surveys with mark-recapture and covariate data. Journal of Agricultural, Biological, and Environmental Statistics 14, 207–223.

    Article  MATH  MathSciNet  Google Scholar 

  • Blumstein, D. T., D. J. Mennill, P. Clemins, L. Girod, K. Yao, G. Patricelli, J. L. Deppe, A. H. Krakauer, C. Clark, K. A. Cortopassi, S. F. Hanser, B. McCowan, A. M. Ali, and A. N. G. Kirschel (2011). Acoustic monitoring in terrestrial environments using microphone arrays: applications, technological considerations and prospectus. Journal of Applied Ecology 48, 758–767.

    Article  Google Scholar 

  • Borchers, D. L. (1996). Line Transect Estimation with Uncertain Detection on the Trackline. Ph. D. thesis, University of Cape Town, Cape Town.

    Google Scholar 

  • Borchers, D. L. (2012). A non-technical overview of spatially explicit capture-recapture models. Journal of Ornithology 152, 435–444.

    Article  Google Scholar 

  • Borchers, D. L., S. T. Buckland, I. G. Priede, and S. Ahmadi (1997). Improving the precision of the daily egg production method using generalized additive models. Canadian Journal of Fisheries and Aquatic Sciences 54, 2727–2742.

    Article  Google Scholar 

  • Borchers, D. L., S. T. Buckland, and W. Zucchini (2002). Estimating Animal Abundance. London: Springer.

    Book  MATH  Google Scholar 

  • Borchers, D. L. and K. P. Burnham (2004). General formulation for distance sampling. pp. 6–30 in S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas (Eds.), Advanced Distance Sampling. Oxford: Oxford University Press.

    Google Scholar 

  • Borchers, D. L. and M. G. Efford (2008). Spatially explicit maximum likelihood methods for capture-recapture studies. Biometrics 64, 377–385.

    Article  MATH  MathSciNet  Google Scholar 

  • Borchers, D. L., J. L. Laake, C. Southwell, and C. G. M. Paxton (2006). Accommodating unmodeled heterogeneity in double-observer distance sampling surveys. Biometrics 62, 372–378.

    Article  MATH  MathSciNet  Google Scholar 

  • Borchers, D. L. and R. Langrock (2015). Double-observer line transect surveys with Markov-modulated Poisson process models for animal availability. Biometrics. doi: 10.1111/biom.12341

    MATH  MathSciNet  Google Scholar 

  • Borchers, D. L., T. A. Marques, T. Gunnlaugsson, and P. E. Jupp (2010). Estimating distance sampling detection functions when distances are measured with errors. Journal of Agricultural, Biological, and Environmental Statistics 15, 346–361.

    Article  MATH  MathSciNet  Google Scholar 

  • Borchers, D. L., B. Stevenson, D. Kidney, L. Thomas, and T. Marques (2015). A unifying model for capture-recapture and distance sampling. Journal of the American Statistical Association. 110, 195–204.

    Article  MATH  MathSciNet  Google Scholar 

  • Borchers, D. L., W. Zucchini, M. P. Heide-Jørgensen, A. Cañadas, and R. Langrock (2013). Using hidden Markov models to deal with availability bias on line transect surveys. Biometrics 69, 703–713.

    Article  MATH  MathSciNet  Google Scholar 

  • Bradford, A. L., K. A. Forney, E. M. Oleson, and J. Barlow (2014). Accounting for subgroup structure in line-transect abundance estimates of false killer whales (Pseudorca crassidens) in Hawaiian waters. PLoS ONE 9, e90464.

    Article  Google Scholar 

  • Bravington, M. (1994). The Effects of Acidification on the Population Dynamics of Brown Trout in Norway. Ph. D. thesis, Imperial College, London.

    Google Scholar 

  • Brown, J. A. and M. S. Boyce (1998). Line transect sampling of Karner blue butterflies (Lycaeides melissa samuelis). Environmental and Ecological Statistics 5, 81–91.

    Article  Google Scholar 

  • Bruderer, B. and P. Steidinger (1972). Methods of quantitative and qualitative analysis of bird migration with a tracking radar. pp. 151–167 in S. Galler, K. Schmidt-Koenig, G. Jacobs, and R. Belleville (Eds.), Animal Orientation and Navigation. NASA, Washington, D.C.

    Google Scholar 

  • Buckland, S. T. (1984). Monte Carlo confidence intervals. Biometrics 40, 811–817.

    Article  MATH  Google Scholar 

  • Buckland, S. T. (2006). Point transect surveys for songbirds: robust methodologies. The Auk 123, 345–357.

    Article  Google Scholar 

  • Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake (1993). Distance Sampling: Estimating Abundance of Biological Populations. London: Chapman and Hall.

    Book  MATH  Google Scholar 

  • Buckland, S. T., D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas (2001). Introduction to Distance Sampling: Estimating Abundance of Biological Populations. Oxford: Oxford University Press.

    MATH  Google Scholar 

  • Buckland, S. T., D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas (2004). Advanced Distance Sampling. Oxford: Oxford University Press.

    MATH  Google Scholar 

  • Buckland, S. T., D. L. Borchers, A. Johnston, P. A. Henrys, and T. A. Marques (2007). Line transect methods for plant surveys. Biometrics 63, 989–998.

    Article  MATH  MathSciNet  Google Scholar 

  • Buckland, S. T., K. P. Burnham, and N. H. Augustin (1997). Model selection: an integral part of inference. Biometrics 53, 603–618.

    Article  MATH  Google Scholar 

  • Buckland, S. T., M. L. Burt, E. A. Rexstad, M. Mellor, A. E. Williams, and R. Woodward (2012). Aerial surveys of seabirds: the advent of digital methods. Journal of Applied Ecology 49, 960–967.

    Article  Google Scholar 

  • Buckland, S. T., J. L. Laake, and D. L. Borchers (2010). Double-observer line transect methods: levels of independence. Biometrics 66, 169–177.

    Article  MATH  MathSciNet  Google Scholar 

  • Buckland, S. T., S. J. Marsden, and R. E. Green (2008). Estimating bird abundance: making methods work. Bird Conservation International 18, S91–S108.

    Article  Google Scholar 

  • Buckland, S. T., C. S. Oedekoven, and D. L. Borchers (submitted). Model-based distance sampling.

    Google Scholar 

  • Buckland, S. T., A. J. Plumptre, L. Thomas, and E. A. Rexstad (2010a). Design and analysis of line transect surveys for primates. International Journal of Primatology 31, 833–847.

    Article  Google Scholar 

  • Buckland, S. T., A. J. Plumptre, L. Thomas, and E. A. Rexstad (2010b). Line transect sampling of primates: can animal-to-observer distance methods work? International Journal of Primatology 31, 485–499.

    Article  Google Scholar 

  • Buckland, S. T., R. E. Russell, B. G. Dickson, V. A. Saab, D. N. Gorman, and W. M. Block (2009). Analysing designed experiments in distance sampling. Journal of Agricultural, Biological, and Environmental Statistics 14, 432–442.

    Article  MATH  MathSciNet  Google Scholar 

  • Buckland, S. T., R. W. Summers, D. L. Borchers, and L. Thomas (2006). Point transect sampling with traps or lures. Journal of Applied Ecology 43, 377–384.

    Article  Google Scholar 

  • Buckland, S. T. and B. J. Turnock (1992). A robust line transect method. Biometrics 48, 901–909.

    Article  Google Scholar 

  • Burnham, K. P. and D. R. Anderson (2002). Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, 2nd ed. Springer-Verlag.

    Google Scholar 

  • Burnham, K. P., D. R. Anderson, and J. L. Laake (1980). Estimation of density from line transect sampling of biological populations. Wildlife Monographs 72, 1–202.

    Google Scholar 

  • Burnham, K. P., S. T. Buckland, J. L. Laake, D. L. Borchers, T. A. Marques, J. R. B. Bishop, and L. Thomas (2004). Further topics in distance sampling. pp. 307–392 in S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas (Eds.), Advanced Distance Sampling. Oxford: Oxford University Press.

    Google Scholar 

  • Burt, L., D. L. Borchers, K. J. Jenkins, and T. A. Marques (2014). Using mark-recapture distance sampling methods on line transect surveys. Methods in Ecology and Evolution 5, 1180–1191.

    Article  Google Scholar 

  • Butterworth, D. S., P. B. Best, and D. Hembree (1984). Analysis of experiments carried out during the 1981/82 IWC/IDCR Antarctic minke whale assessment cruise in Area II. Report of the International Whaling Commission 34, 365–392.

    Google Scholar 

  • Cañadas, A. and P. Hammond (2006). Model-based abundance estimates for bottlenose dolphins off southern Spain: implications for conservation and management. Journal of Cetacean Research and Management 8, 13–27.

    Google Scholar 

  • Chabot, D. and D. M. Bird (2012). Evaluation of an off-the-shelf unmanned aircraft system for surveying flocks of geese. Waterbirds 35, 170–174.

    Article  Google Scholar 

  • Chapman, J. W., D. R. Reynolds, A. D. Smith, J. R. Riley, D. E. Pedgley, and I. P. Woiwod (2002). High-altitude migration of the diamondback moth Plutella xylostella to the U.K.: a study using radar, aerial netting, and ground trapping. Ecological Entomology 27, 641–650.

    Google Scholar 

  • Chen, S. X. (1998). Measurement errors in line transect surveys. Biometrics 54, 899–908.

    Article  MATH  MathSciNet  Google Scholar 

  • Chen, S. X. and A. Cowling (2001). Measurement errors in line transect surveys where detectability varies with distance and size. Biometrics 57, 732–742.

    Article  MATH  MathSciNet  Google Scholar 

  • Collier, B. A., S. L. Farrell, A. M. Long, A. J. Campomizzi, K. B. Hays, J. L. Laake, M. L. Morrison, and R. N. Wilkins (2013). Modeling spatially explicit densities of endangered avian species in a heterogeneous landscape. The Auk 130, 666–676.

    Article  Google Scholar 

  • Cox, M. J., D. L. Borchers, D. A. Demer, G. R. Cutter, and A. S. Brierley (2011). Estimating the density of Antarctic krill (Euphausia superba) from multi-beam echo-sounder observations using distance sampling methods. Applied Statistics 60, 301–316.

    MathSciNet  Google Scholar 

  • Cox, M. J., D. L. Borchers, and N. Kelly (2013). nupoint: An R package for density estimation from point transects in the presence of nonuniform animal density. Methods in Ecology and Evolution 4, 589–594.

    Google Scholar 

  • Davison, A. C. (2003). Statistical Models. Cambridge: Cambridge University Press.

    Book  MATH  Google Scholar 

  • Dawson, D. K. and M. G. Efford (2009). Bird population density estimated from acoustic signals. Journal of Applied Ecology 46, 1201–1209.

    Article  Google Scholar 

  • Dickson, B. G., B. R. Noon, C. H. Flather, S. Jentsch, and W. M. Block (2009). Quantifying the multi-scale response of avifauna to prescribed fire experiments in the southwest United States. Ecological Applications 19, 608–621.

    Article  Google Scholar 

  • Diefenbach, D. R., M. R. Marshall, J. A. Mattice, and D. W. Brauning (2007). Incorporating availability for detection in estimates of bird abundance. The Auk 124, 96–106.

    Article  Google Scholar 

  • Dokter, A. M., M. J. Baptist, B. J. Ens, K. L. Krijgsveld, and E. E. van Loon (2013). Bird radar validation in the field by time-referencing line-transect surveys. PLoS ONE 8, e74129.

    Article  Google Scholar 

  • Dujon, A. M., R. T. Lindstrom, and G. C. Hays (2014). The accuracy of Fastloc-GPS locations and implications for animal tracking. Methods in Ecology and Evolution 5, 1162–1169.

    Article  Google Scholar 

  • Efford, M. G. (2004). Density estimation in live-trapping studies. Oikos 106, 598–610.

    Article  Google Scholar 

  • Erxleben, D., M. Butler, W. Ballard, M. Wallace, M. Peterson, N. Silvy, W. Kuvlesky, D. Hewitt, S. DeMaso, J. Hardin, and M. Dominguez-Brazil (2011). Wild turkey (Meleagris gallopavo) association to roads: implications for distance sampling. European Journal of Wildlife Research 57, 57–65.

    Article  Google Scholar 

  • Evans, K. O., L. W. Burger, C. S. Oedekoven, M. D. Smith, S. K. Riffell, J. A. Martin, and S. T. Buckland (2013). Multi-region response to conservation buffers targeted for northern bobwhite. The Journal of Wildlife Management 77, 716–725.

    Article  Google Scholar 

  • Fancy, S. G., T. J. Snetsinger, and J. D. Jacobi (1997). Translocation of the palila, an endangered Hawaiian honeycreeper. Pacific Conservation Biology 3, 39–46.

    Article  Google Scholar 

  • Farnsworth, G. L., K. H. Pollock, J. D. Nichols, T. R. Simons, J. E. Hines, and J. R. Sauer (2002). A removal model for estimating detection probabilities from point-count surveys. The Auk 119, 414–425.

    Article  Google Scholar 

  • Fewster, R. M., Buckland, S. T., Burnham, K. P., Borchers, D. L., Jupp, P. E., Laake, J. L. and Thomas, L. (2009). Estimating the encounter rate variance in distance sampling. Biometrics 65, 225–236.

    Article  MATH  MathSciNet  Google Scholar 

  • Fewster, R. M. and A. R. Pople (2008). A comparison of mark-recapture distance sampling methods applied to aerial surveys of Eastern grey kangaroos. Wildlife Research 35, 320–330.

    Article  Google Scholar 

  • Fewster, R. M., C. Southwell, D. L. Borchers, S. T. Buckland, and A. R. Pople (2008). The influence of animal mobility on the assumption of uniform distances in aerial line transect surveys. Wildlife Research 35, 275–288.

    Article  Google Scholar 

  • Fletcher, J. R. and L. R. Hutto (2006). Estimating detection probabilities of river birds using double surveys. The Auk 123, 695–707.

    Article  Google Scholar 

  • Focardi, S., B. Franzetti, and F. Ronchi (2013). Nocturnal distance sampling of a Mediterranean population of fallow deer is consistent with population projections. Wildlife Research 40, 437–446.

    Article  Google Scholar 

  • Fretwell, P. T., M. A. LaRue, P. Morin, G. L. Kooyman, B. Wienecke, N. Ratcliffe, A. J. Fox, A. H. Fleming, C. Porter, and P. N. Trathan (2012). An emperor penguin population estimate: the first global, synoptic survey of a species from space. PLoS ONE 7, e33751.

    Article  Google Scholar 

  • Fretwell, P. T., I. J. Staniland, and J. Forcada (2014). Whales from space: counting southern right whales by satellite. PLoS ONE 9, e88655.

    Article  Google Scholar 

  • Gale, G. A., P. D. Round, and A. J. Pierce (2009). A field test of distance sampling methods for a tropical forest bird community. The Auk 126, 439–448.

    Article  Google Scholar 

  • Gates, C. E., W. H. Marshall, and D. P. Olson (1968). Line transect method of estimating grouse population densities. Biometrics 24, 135–145.

    Article  Google Scholar 

  • Gelman, A., G. O. Roberts, and W. R. Gilks (1996). Efficient Metropolis jumping rules. pp. 599–607 in J. M. Bernardo, J. O. Berger, A. P. Dawid, and A. F. M. Smith (Eds.), Bayesian Statistics. Oxford University Press, Oxford.

    Google Scholar 

  • George, J., J. Zeh, R. Suydam, and C. Clark (2004). Abundance and population trend (1978–2001) of western Arctic bowhead whales surveyed near Barrow. Marine Mammal Science 20, 755–773.

    Article  Google Scholar 

  • Gerrodette, T., G. Watters, W. Perryman, and L. T. Ballance (2008). Estimates of 2006 dolphin abundance in the eastern tropical Pacific, with revised estimates from 1986–2003. Technical report, U.S. Department of Commerce, Southwest Fisheries Science Center NOAA Technical Memorandum NMFS NOAA-TM-NMFS-SWFSC-422.

    Google Scholar 

  • Gill, R. M. A., M. L. Thomas, and D. Stocker (1997). The use of portable thermal imaging for estimating deer population density in forest habitats. Journal of Applied Ecology 34, 1273–1286.

    Article  Google Scholar 

  • Gillespie, D., M. Caillat, J. Gordon, and P. White (2013). Automatic detection and classification of odontocete whistles. The Journal of the Acoustical Society of America 134, 2427–2437.

    Article  Google Scholar 

  • Glennie, R., S. T. Buckland, and L. Thomas (2015). The effect of animal movement on line transect estimates of abundance. PLoS One 10, e0121333.

    Article  Google Scholar 

  • Green, P. J. (1995). Reversible jump Markov Chain Monte Carlo computation and Bayesian model determination. Biometrika 82, 711–732.

    Article  MATH  MathSciNet  Google Scholar 

  • Grémillet, D., W. Puech, V. Garçon, T. Boulinier, and Y. Maho (2012). Robots in ecology: Welcome to the machine. Open Journal of Ecology 2, 49–57.

    Article  Google Scholar 

  • Grundel, R. (2008). A guide to the use of distance sampling to estimate abundance of Karner blue butterflies. Technical report, US Fish and Wildlife Service.

    Google Scholar 

  • Guenzel, R. J. (1997). Estimating pronghorn abundance using aerial line transect sampling. Technical report, Wyoming Game and Fish Dept., 5400 Bishop Blvd., Cheyenne, WY.

    Google Scholar 

  • Hammond, P. S., P. Berggren, H. Benke, D. L. Borchers, A. Collet, M. P. Heide-Jørgensen, S. Heimlich, A. R. Hiby, M. F. Leopold, and N. Øien (2002). Abundance of harbour porpoise and other cetaceans in the North Sea and adjacent waters. The Journal of Applied Ecology 39, 361–376.

    Article  Google Scholar 

  • Hardin, J. and J. Hilbe (2003). Generalized Estimating Equations. Boca Raton: Chapman and Hall/CRC.

    MATH  Google Scholar 

  • Harmata, A. R., K. M. Podruzny, J. R. Zelenak, and M. L. Morrison (1999). Using marine surveillance radar to study bird movements and impact assessment. Wildlife Society Bulletin 27, 44–52.

    Google Scholar 

  • Harris, D., L. Thomas, L. Matias, and T. Yack (in prep.). Dealing with depth: adapting distance sampling methods to estimate densities of diving marine mammals using passive acoustic recordings.

    Google Scholar 

  • Hastings, W. K. (1970). Monte Carlo sampling methods using Markov Chains and their applications. Biometrika 57, 97–109.

    Article  MATH  MathSciNet  Google Scholar 

  • Hayes, R. J. and S. T. Buckland (1983). Radial-distance models for the line-transect method. Biometrics 39, 29–42.

    Article  MATH  Google Scholar 

  • Hayes, S. A., D. K. Mellinger, D. A. Croll, D. P. Costa, and J. F. Borsani (2000). An inexpensive passive acoustic system for recording and localizing wild animal sounds. The Journal of the Acoustical Society of America 107, 3552–3555.

    Article  Google Scholar 

  • Hedley, S. L. (2000). Modelling Heterogeneity in Cetacean Surveys. Ph. D. thesis, University of St Andrews, St Andrews.

    Google Scholar 

  • Hedley, S. L. and S. T. Buckland (2004). Spatial models for line transect sampling. Journal of Agricultural, Biological, and Environmental Statistics 9, 181–199.

    Article  Google Scholar 

  • Hedley, S. L., S. T. Buckland, and D. L. Borchers (1999). Spatial modelling from line transect data. Journal of Cetacean Research and Management 1, 255–264.

    Google Scholar 

  • Hiby, A. R. (1985). An approach to estimating population densities of great whales from sighting surveys. IMA Journal of Mathematics Applied in Medicine and Biology 2, 201–220.

    Article  Google Scholar 

  • Hiby, L. and P. Lovell (1998). Using aircraft in tandem formation to estimate abundance of harbour porpoise. Biometrics 54, 1280–1289.

    Article  MATH  Google Scholar 

  • Hiby, L., A. Ward, and P. Lovell (1989). Analysis of the North Atlantic sightings survey 1987: Aerial survey results. Report of the International Whaling Commission 39, 447–455.

    Google Scholar 

  • Hilário, R., F. Rodrigues, A. Chiarello, and Í. Mourthé (2012). Can roads be used as transects for primate population surveys? Folia Primatologica 83, 47–55.

    Article  Google Scholar 

  • Hobson, K. A., R. S. Rempel, H. Greenwood, B. Turnbull, and S. L. Van Wilgenburg (2002). Acoustic surveys of birds using electronic recordings: new potential from an omnidirectional microphone system. Wildlife Bulletin 30, 709–720.

    Google Scholar 

  • Hodgson, A., N. Kelly, and D. Peel (2013). Unmanned aerial vehicles (UAVs) for surveying marine fauna: A dugong case study. PLoS ONE 8, e79556.

    Article  Google Scholar 

  • Högmander, H. (1991). A random field approach to transect counts of wildlife populations. Biometrical Journal 33, 1013–1023.

    Article  MATH  MathSciNet  Google Scholar 

  • Horvitz, D. G. and D. J. Thompson (1952). A generalization of sampling without replacement from a finite universe. Journal of the American Statistical Association 47, 663–685.

    Article  MATH  MathSciNet  Google Scholar 

  • Hurlbert, S. H. (1984). Pseudoreplication and the design of ecological field experiments. Ecological Monographs 54, 187–211.

    Article  Google Scholar 

  • Isaac, N. J. B., K. L. Cruickshanks, A. M. Weddle, J. M. Rowcliffe, T. M. Brereton, R. L. H. Dennis, D. M. Shuker, and C. D. Thomas (2011). Distance sampling and the challenge of monitoring butterfly populations. Methods in Ecology and Evolution 2, 585–594.

    Article  Google Scholar 

  • Jenkins, R. K. B., L. D. Brady, K. Huston, J. L. D. Kauffmann, J. Rabearivony, G. Raveloson, and J. M. Rowcliffe (1999). The population status of chameleons within Ranomafana National Park, Madagascar, and recommendations for future monitoring. Oryx 33, 38–46.

    Article  Google Scholar 

  • Johnson, B. K., F. G. Lindzey, and R. J. Guenzel (1991). Use of aerial line transect surveys to estimate pronghorn populations in Wyoming. Wildlife Society Bulletin 19, 315–321.

    Article  Google Scholar 

  • Johnson, D., J. L. Laake, and J. M. Ver Hoef (2009). Package DSpat. Technical report.

    Google Scholar 

  • Johnson, D. S., J. L. Laake, and J. M. Ver Hoef (2010). A model-based approach for making ecological inference from distance sampling data. Biometrics 66, 310–318.

    Article  MATH  MathSciNet  Google Scholar 

  • Johnson, M., P. T. Madsen, W. M. X. Zimmer, N. A. de Soto, and P. L. Tyack (2004). Beaked whales echolocate on prey. Proceedings of the Royal Society B: Biological Sciences 271, S383–S386.

    Google Scholar 

  • Johnson, M. P. and P. L. Tyack (2003). A digital acoustic recording tag for measuring the response of wild marine mammals to sound. IEEE Journal of Oceanic Engineering 28, 3–12.

    Article  Google Scholar 

  • King, R., B. J. T. Morgan, O. Gimenez, and S. P. Brooks (2009). Bayesian Analysis for Population Ecology. Boca Raton: CRC Press.

    Book  Google Scholar 

  • Klinck, H., D. K. Mellinger, K. Klinck, N. M. Bogue, J. C. Luby, W. A. Jump, G. B. Shilling, T. Litchendorf, A. S. Wood, G. S. Schorr, and R. W. Baird (2012). Near-real-time acoustic monitoring of beaked whales and other cetaceans using a seaglider. PLoS ONE 7, e36128.

    Article  Google Scholar 

  • Kouakou, C. Y., C. Boesch, and H. Kuehl (2009). Estimating chimpanzee population size with nest counts: validating methods in Tai National Park. American Journal of Primatology 71, 447–457.

    Article  Google Scholar 

  • Kusel, E. T., D. K. Mellinger, L. Thomas, T. A. Marques, D. Moretti, and J. Ward (2011). Cetacean population density estimation from single fixed sensors using passive acoustics. The Journal of the Acoustical Society of America 129, 3610–3622.

    Article  Google Scholar 

  • Kyhn, L., J. Tougaard, L. Thomas, L. Duve, J. Steinback, M. Amundin, G. Desportes, and J. Teilmann (2012). From echolocation clicks to animal density — acoustic sampling of harbour porpoises with static dataloggers. The Journal of the Acoustical Society of America 131, 550–560.

    Article  Google Scholar 

  • Laake, J. L. (1999). Distance sampling with independent observers: reducing bias from heterogeneity by weakening the conditional independence assumption. pp. 137–148 in G. W. Garner, S. C. Amstrup, J. L. Laake, B. F. J. Manly, L. L. McDonald, and D. G. Robertson (Eds.), Marine Mammal Survey and Assessment Methods. Rotterdam: Balkema.

    Google Scholar 

  • Laake, J. L. and D. L. Borchers (2004). Methods for incomplete detection at distance zero. pp. 108–189 in S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas (Eds.), Advanced Distance Sampling. Oxford: Oxford University Press.

    Google Scholar 

  • Laake, J. L., S. T. Buckland, D. R. Anderson, and K. P. Burnham (1993). DISTANCE Users’ Guide V2.0. Fort Collins, CO: Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University.

    Google Scholar 

  • Laake, J. L., B. A. Collier, M. L. Morrison, and R. N. Wilkins (2011). Point-based mark-recapture distance sampling. Journal of Agricultural, Biological, and Environmental Statistics 16, 389–408.

    Article  MATH  MathSciNet  Google Scholar 

  • Laing, S. E., S. T. Buckland, R. W. Burn, D. Lambie, and A. Amphlett (2003). Dung and nest surveys: estimating decay rate. Journal of Applied Ecology 40, 1102–1111.

    Article  Google Scholar 

  • Langrock, R., D. L. Borchers, and H. J. Skaug (2013). Markov-modulated nonhomogeneous Poisson processes for unbiased estimation of marine mammal abundance. Journal of the American Statistical Association 108, 840–851.

    Article  MATH  MathSciNet  Google Scholar 

  • Legare, M. L., W. R. Eddleman, P. A. Buckley, and C. Kelly (1999). The effectiveness of tape playback in estimating black rail density. The Journal of Wildlife Management 63, 116–125.

    Article  Google Scholar 

  • Lewis, T., D. Gillespie, C. Lacey, J. Matthews, M. Danbolt, R. Leaper, R. McLanaghan, and A. Moscrop (2007). Sperm whale abundance estimates from acoustic surveys of the Ionian Sea and Straits of Sicily in 2003. Journal of the Marine Biological Association of the United Kingdom 87, 353–357.

    Article  Google Scholar 

  • Link, W. A. (2003). Nonidentifiability of population size from capture-recapture data with heterogeneous detection probabilities. Biometrics 59, 1123–1130.

    Article  MATH  MathSciNet  Google Scholar 

  • Link, W. A. (2004). Individual heterogeneity and identifiability in capture-recapture models. Animal Biodiversity and Conservation 27, 87–91.

    Google Scholar 

  • Lisein, J., J. Linchant, P. Lejeune, P. Bouché, and C. Vermeulen (2013). Aerial surveys using an unmanned aerial system (UAS): comparison of different methods for estimating the surface area of sampling strips. Tropical Conservation Science 6, 506–520.

    Article  Google Scholar 

  • Lukacs, P. M. (2002). Websim: simulation software to assist in trapping web design. Wildlife Society Bulletin 30, 1259–1261.

    Google Scholar 

  • Lukacs, P. M., A. B. Franklin, and D. R. Anderson (2004). Passive approaches to detection in distance sampling. pp. 260–280 in S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas (Eds.), Advanced Distance Sampling. Oxford: Oxford University Press.

    Google Scholar 

  • Lynch, H. J. and M. A. LaRue (2014). First global census of the Adélie penguin. The Auk 131, 457–466.

    Article  Google Scholar 

  • Marini, F., B. Franzetti, A. Calabrese, S. Cappellini, and S. Focardi (2009). Response to human presence during nocturnal line transect surveys in fallow deer (Dama dama) and wild boar (Sus scrofa). European Journal of Wildlife Research 56, 233–237.

    Google Scholar 

  • Marques, F. F. C. and S. T. Buckland (2003). Incorporating covariates into standard line transect analyses. Biometrics 59, 924–935.

    Article  MATH  MathSciNet  Google Scholar 

  • Marques, F. F. C. and S. T. Buckland (2004). Covariate models for the detection function. pp. 31–47 in S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas (Eds.), Advanced Distance Sampling. Oxford: Oxford University Press.

    Google Scholar 

  • Marques, F. F. C., S. T. Buckland, D. Goffin, C. E. Dixon, D. L. Borchers, B. A. Mayle, and A. J. Peace (2001). Estimating deer abundance from line transect surveys of dung: sika deer in southern Scotland. Journal of Applied Ecology 38, 349–363.

    Article  Google Scholar 

  • Marques, T. A. (2004). Predicting and correcting bias caused by measurement error in line transect sampling using multiplicative error models. Biometrics 60, 757–763.

    Article  MATH  MathSciNet  Google Scholar 

  • Marques, T. A. (2007). Incorporating Measurement Error and Density Gradients in Distance Sampling Surveys. Ph. D. thesis, University of St Andrews.

    Google Scholar 

  • Marques, T. A., M. Andersen, S. Christensen-Dalsgaard, S. Belikov, A. Boltunov, Ø. Wiig, S. T. Buckland, and J. Aars (2006). The use of global positioning systems to record distances in a helicopter line-transect survey. Wildlife Society Bulletin 34, 759–763.

    Article  Google Scholar 

  • Marques, T. A., S. T. Buckland, R. Bispo, and B. Howland (2013). Accounting for animal density gradients using independent information in distance sampling surveys. Statistical Methods and Applications 22, 67–80.

    Article  MATH  MathSciNet  Google Scholar 

  • Marques, T. A., S. T. Buckland, D. L. Borchers, D. Tosh, and R. A. McDonald (2010). Point transect sampling along linear features. Biometrics 66, 1247–1255.

    Article  MATH  MathSciNet  Google Scholar 

  • Marques, T. A., L. Munger, L. Thomas, S. Wiggins, and J. A. Hildebrand (2011). Estimating North Pacific right whale (Eubalaena japonica) density using passive acoustic cue counting. Endangered Species Research 13, 163–172.

    Article  Google Scholar 

  • Marques, T. A., L. Thomas, S. G. Fancy, and S. T. Buckland (2007). Improving estimates of bird density using multiple covariate distance sampling. The Auk 124, 1229–1243.

    Article  Google Scholar 

  • Marques, T. A., L. Thomas, S. W. Martin, D. K. Mellinger, S. Jarvis, R. P. Morrissey, C.-A. Ciminello, and N. DiMarzio (2012). Spatially explicit capture recapture methods to estimate minke whale abundance from data collected at bottom mounted hydrophones. Journal of Ornithology 152, 445–455.

    Article  Google Scholar 

  • Marques, T. A., L. Thomas, S. W. Martin, D. K. Mellinger, J. A. Ward, D. J. Moretti, D. Harris, and P. L. Tyack (2013). Estimating animal population density using passive acoustics. Biological Reviews 88, 287–309.

    Article  Google Scholar 

  • Marques, T. A., L. Thomas, J. Ward, N. DiMarzio, and P. L. Tyack (2009). Estimating cetacean population density using fixed passive acoustic sensors: an example with Blainville’s beaked whales. The Journal of the Acoustical Society of America 125, 1982–1994.

    Article  Google Scholar 

  • Marsh, H. and D. F. Sinclair (1989). Correcting for visibility bias in strip transect aerial surveys of aquatic fauna. Journal of Wildlife Management 53, 1017–1024.

    Article  Google Scholar 

  • Marshall, L. (2014). DSsim: Distance Sampling Simulations. R package version 1.0.1.

    Google Scholar 

  • Martin, J., H. H. Edwards, M. A. Burgess, H. F. Percival, D. E. Fagan, B. E. Gardner, J. G. Ortega-Ortiz, P. G. Ifju, B. S. Evers, and T. J. Rambo (2012). Estimating distribution of hidden objects with drones: From tennis balls to manatees. PLoS ONE 7, e38882.

    Article  Google Scholar 

  • Martin, S. W., T. A. Marques, L. Thomas, R. P. Morrissey, S. Jarvis, N. DiMarzio, D. Moretti, and D. K. Mellinger (2012). Estimating minke whale (Balaenoptera acutorostrata) boing sound density using passive acoustic sensors. Marine Mammal Science 29, 142–158.

    Article  Google Scholar 

  • Mateos, M., G. M. Arroyo, A. Rodriguez, D. Cuenca, and A. De La Cruz (2010). Calibration of visually estimated distances to migrating seabirds with radar measurements. Journal of Field Ornithology 81, 302–309.

    Article  Google Scholar 

  • McShea, W. J., C. M. Stewart, L. Kearns, and S. Bates (2011). Road bias for deer density estimates at 2 national parks in Maryland. Wildlife Society Bulletin 35, 177–184.

    Article  Google Scholar 

  • Mennill, D. J., J. M. Burt, K. M. Fristrup, and S. L. Vehrencamp (2006). Accuracy of an acoustic location system for monitoring the position of duetting songbirds in tropical forest. The Journal of the Acoustical Society of America 119, 2832–2839.

    Article  Google Scholar 

  • Mesnick, S. L., F. I. Archer, A. C. Allen, and A. E. Dizon (2002). Evasive behavior of eastern tropical Pacific dolphins relative to effort by the tuna purse-seine fishery. Technical report, SWFSC/NOAA.

    Google Scholar 

  • Metropolis, N., A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller (1953). Equations of state calculations by fast computing machines. Journal of Chemical Physics 21, 1087–1091.

    Article  Google Scholar 

  • Miller, D. L. (2013). Distance: a Simple Way to Fit Detection Functions to Distance Sampling Data and Calculate Abundance/Density for Biological Populations. R package version 0.7.3.

    Google Scholar 

  • Miller, D. L., M. L. Burt, E. A. Rexstad, and L. Thomas (2013). Spatial models for distance sampling data: recent developments and future directions. Methods in Ecology and Evolution 4, 1001–1010.

    Google Scholar 

  • Mills, M. G. L., J. M. Juritz, and W. Zucchini (2001). Estimating the size of spotted hyaena (Crocuta crocuta) populations through playback recordings allowing for non-response. Animal Conservation 4, 335–343.

    Article  Google Scholar 

  • Moretti, D., N. DiMarzio, R. Morrissey, J. Ward, and S. Jarvis (2006). Estimating the density of Blainville’s beaked whale (Mesoplodon densirostris) in the Tongue of the Ocean (TOTO) using passive acoustics. In Proceedings of the Oceans’06 MTS/IEEE-Boston, Boston, MA.

    Google Scholar 

  • Nichols, J. D., J. E. Hines, J. R. Sauer, F. W. Fallon, J. E. Fallon, and P. J. Heglund (2000). A double-observer approach for estimating detection probability and abundance from point counts. The Auk 117, 393–408.

    Article  Google Scholar 

  • Oedekoven, C. S. (2013). Mixed Effect Models in Distance Sampling. Ph. D. thesis, University of St Andrews.

    Google Scholar 

  • Oedekoven, C. S., S. T. Buckland, M. L. Mackenzie, K. O. Evans, and L. W. Burger (2013). Improving distance sampling: accounting for covariates and non-independency between sampled sites. Journal of Applied Ecology 50, 786–793.

    Article  Google Scholar 

  • Oedekoven, C. S., S. T. Buckland, M. L. Mackenzie, R. King, K. O. Evans, and L. W. Burger (2014). Bayesian methods for hierarchical distance sampling models. Journal of Agricultural, Biological, and Environmental Statistics 19, 219–239.

    Article  MATH  MathSciNet  Google Scholar 

  • Oedekoven, C. S., J. L. Laake, and H. J. Skaug (2015). Distance sampling with a random scale detection function. Environmental and Ecological Statistics. 10.1007/s10651-015-0316-9

    MathSciNet  Google Scholar 

  • Okot Omoya, E., T. Mudumba, S. T. Buckland, P. Mulondo, and A. J. Plumptre (2014). Estimating population sizes of lions Panthera leo and spotted hyaenas Crocuta crocuta in Uganda’s savannah national parks using lure count methods. Oryx 48, 394–401.

    Article  Google Scholar 

  • Petersen, I. K., T. K. Christensen, J. Kahlert, M. Desholm, and A. D. Fox (2006). Final results of bird studies at the offshore wind farms at Nysted and Horns Rev, Denmark. Technical report, National Environmental Research Institute Report.

    Google Scholar 

  • Petersen, I. K., M. L. MacKenzie, E. Rexstad, M. S. Wisz, and A. D. Fox (2011). Comparing pre- and post-construction distributions of long-tailed ducks Clangula hyemalis in and around the Nysted offshore wind farm, Denmark: a quasi-designed experiment accounting for imperfect detection, local surface features and autocorrelation. Technical Report 2011-1, CREEM.

    Google Scholar 

  • Plumptre, A. J. and D. Cox (2006). Counting primates for conservation: primate surveys in Uganda. Primates 47, 65–73.

    Article  Google Scholar 

  • Plumptre, A. J. and V. Reynolds (1996). Censusing chimpanzees in the Budongo Forest, Uganda. International Journal of Primatology 17, 85–99.

    Article  Google Scholar 

  • Plumptre, A. J. and V. Reynolds (1997). Nesting behavior of chimpanzees: implications for censuses. International Journal of Primatology 18, 475–485.

    Article  Google Scholar 

  • Plumptre, A. J., E. J. Sterling, and S. T. Buckland (2013). Primate census and survey techniques. pp. 10–26 in E. Sterling, N. Bynum, and M. Blair (Eds.), Primate Ecology and Conservation: A Handbook of Techniques. Oxford: Oxford University Press.

    Google Scholar 

  • Pollard, E. and T. J. Yates (1993). Monitoring Butterflies for Ecology and Conservation. London: Chapman and Hall.

    Google Scholar 

  • Potts, J. M., S. T. Buckland, L. Thomas, and A. Savage (2012). Estimating abundance of cryptic but trappable animals using trapping point transects: a case study for Key Largo woodrats. Methods in Ecology and Evolution 3, 695–703.

    Article  Google Scholar 

  • Reynolds, D. and J. Riley (2002). Remote-sensing, telemetric and computer-based technologies for investigating insect movement: a survey of existing and potential techniques. Computers and Electronics in Agriculture 35, 271–307.

    Article  Google Scholar 

  • Rowcliffe, J. M., J. Field, S. T. Turvey, and C. Carbone (2008). Estimating animal density using camera traps without the need for individual recognition. Journal of Applied Ecology 45, 1228–1236.

    Article  Google Scholar 

  • Rowcliffe, J. M., C. Carbone, P. A. Jansen, R. Kays, and B. Kranstauber (2011). Quantifying the sensitivity of camera traps: an adapted distance sampling approach. Methods in Ecology and Evolution 2, 464–476.

    Article  Google Scholar 

  • Royle, J. A., D. K. Dawson, and S. Bates (2004). Modeling abundance effects in distance sampling. Ecology 85, 1591–1597.

    Article  Google Scholar 

  • Royle, J. A. and R. M. Dorazio (2008). Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities. Amsterdam: Elsevier, Academic Press. Code for book hosted at http://www.mbr-pwrc.usgs.gov/pubanalysis/roylebook/chapters.htm.

  • Royle, J. A. and B. Gardner (2011). Hierarchical spatial capture-recapture models for estimating density from trapping arrays. pp. 163–190 in A. F. O’Connell, J. D. Nichols, and K. U. Karanth (Eds.), Camera Traps in Animal Ecology: Methods and Analyses. New York: Springer.

    Google Scholar 

  • Russell, R. E., J. A. Royle, V. A. Saab, J. F. Lehmkuhl, W. M. Block, and J. R. Sauer (2009). Modeling the effects of environmental disturbance on wildlife communities: avian responses to prescribed fire. Ecological Applications 19, 1253–1263.

    Article  Google Scholar 

  • Savage, A., L. Thomas, K. Leighty, L. Soto, and F. S. Medina (2010). Novel survey method finds dramatic decline of wild cotton-top tamarin population. Nature Communications 1, 1–30.

    Article  Google Scholar 

  • Schmaljohann, H., F. Liechti, E. Bachler, T. Steuri, and B. Bruderer (2008). Quantification of bird migration by radar — a detection probability problem. Ibis 150, 342–355.

    Article  Google Scholar 

  • Schorr, R. A. (2013). Using distance sampling to estimate density and abundance of Saussurea weberi Hultén (Weber’s saw-wort). The Southwestern Naturalist 58, 378–383.

    Article  Google Scholar 

  • Schwaller, M. R., W. S. Benninghoff, and C. E. Olson (1984). Prospects for satellite remote sensing of Adélie penguin rookeries. International Journal of Remote Sensing 5, 849–853.

    Article  Google Scholar 

  • Schwarz, C. J. and G. A. F. Seber (1999). Estimating animal abundance: review III. Statistical Science 14, 427–56.

    Article  Google Scholar 

  • Schweder, T. (1996). A note on a buoy-sighting experiment in the North Sea in 1990. Report of the International Whaling Commission 46, 383–385.

    Google Scholar 

  • Schweder, T. (1997). Measurement error models for the Norwegian minke whale survey in 1995. Report of the International Whaling Commission 47, 485–488.

    Google Scholar 

  • Seber, G. A. F. (1982). The Estimation of Animal Abundance, 2nd Ed. London: Griffin.

    Google Scholar 

  • Seber, G. A. F. (1986). A review of estimating animal abundance. Biometrics 42, 267–292.

    Article  Google Scholar 

  • Seber, G. A. F. (1992). A review of estimating animal abundance II. International Statistical Review 60, 129–166.

    Article  MATH  Google Scholar 

  • Shamoun-Baranes, J., J. Alves, S. Bauer, A. Dokter, O. Huppop, J. Koistinen, H. Leijnse, F. Liechti, H. van Gasteren, and J. Chapman (2014). Continental-scale radar monitoring of the aerial movements of animals. Movement Ecology 2, 9.

    Article  Google Scholar 

  • Southwell, C., B. De la Mare, M. Underwood, F. Quartararo, and K. Cope (2002). An automated system to log and process distance sight-resight aerial survey data. Wildlife Society Bulletin 30, 394–404.

    Google Scholar 

  • Spear, L., N. Nur, and D. G. Ainley (1992). Estimating absolute densities of flying seabirds using analyses of relative movement. The Auk 109, 385–389.

    Article  Google Scholar 

  • Spear, L. B. and D. G. Ainley (1997a). Flight behaviour of seabirds in relation to wind direction and wing morphology. Ibis 139, 221–233.

    Article  Google Scholar 

  • Spear, L. B. and D. G. Ainley (1997b). Flight speed of seabirds in relation to wind speed and direction. Ibis 139, 234–251.

    Article  Google Scholar 

  • Storm, D. J., M. D. Samuel, T. R. Van Deelen, K. D. Malcolm, R. E. Rolley, N. A. Frost, D. P. Bates, and B. J. Richards (2011). Comparison of visual-based helicopter and fixed-wing forward-looking infrared surveys for counting white-tailed deer Odocoileus virginianus. Wildlife Biology 17, 431–440.

    Article  Google Scholar 

  • Strindberg, S. and S. T. Buckland (2004). Zigzag survey designs in line transect sampling. Journal of Agricultural, Biological, and Environmental Statistics 9, 443–461.

    Article  Google Scholar 

  • Strindberg, S., S. T. Buckland, and L. Thomas (2004). Design of distance sampling surveys and geographic information systems. pp. 190–228 in S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas (Eds.), Advanced Distance Sampling. Oxford: Oxford University Press.

    Google Scholar 

  • Strobel, B. N. and M. J. Butler (2014). Monitoring whooping crane abundance using aerial surveys: influences on detectability. Wildlife Society Bulletin 38, 188–195.

    Article  Google Scholar 

  • Summers, R. W. and S. T. Buckland (2011). A first survey of the global population size and distribution of the Scottish Crossbill Loxia scotica. Bird Conservation International 21, 186–198.

    Article  Google Scholar 

  • Tasker, M. L., P. Hope Jones, T. Dixon, and B. F. Blake (1984). Counting seabirds at sea from ships: a review of methods employed and a suggestion for a standardized approach. The Auk 101, 567–577.

    Google Scholar 

  • Thomas, L., S. T. Buckland, E. A. Rexstad, J. L. Laake, S. Strindberg, S. L. Hedley, J. R. Bishop, T. A. Marques, and K. P. Burnham (2010). Distance software: design and analysis of distance sampling surveys for estimating population size. Journal of Applied Ecology 47, 5–14.

    Article  Google Scholar 

  • Thompson, M. E., S. J. Schwager, K. B. Payne, and A. K. Turkalo (2009). Acoustic estimation of wildlife abundance: methodology for vocal mammals in forested habitats. African Journal of Ecology 48, 654–661.

    Google Scholar 

  • Thomson, J. A., A. B. Cooper, D. A. Burkholder, M. R. Heithaus, and L. M. Dill (2012). Heterogeneous patterns of availability for detection during visual surveys: spatiotemporal variation in sea turtle dive-surfacing behaviour on a feeding ground. Methods in Ecology and Evolution 3, 378–387.

    Article  Google Scholar 

  • Trenkel, V. M., S. T. Buckland, C. McLean, and D. A. Elston (1997). Evaluation of aerial line transect methodology for estimating red deer (Cervus elaphus) abundance in Scotland. Journal of Environmental Management 50, 39–50.

    Article  Google Scholar 

  • Turchin, P. and F. J. Odendaal (1996). Measuring the effective sampling area of a pheromone trap for monitoring population density of southern pine beetle (coleoptera: Scolytidae). Environmental Entomology 25, 582–588.

    Article  Google Scholar 

  • Tweh, C., M. Lormie, C. Kouakou, A. Hillers, H. Kuehl, and J. Junker (2015). Conservation status of chimpanzees (Pan troglodytes verus) and other large mammals across Liberia: results from a nationwide survey. Oryx. 10.1017/S0030605313001191.

    Google Scholar 

  • Tyack, P. L., M. Johnson, N. A. Soto, A. Sturlese, and P. T. Madsen (2006). Extreme diving of beaked whales. Journal of Experimental Biology 209, 4238–4253.

    Article  Google Scholar 

  • Vargas, A., I. Jimenez, F. Palomares, and M. J. Palacios (2002). Distribution, status, and conservation needs of the golden-crowned sifaka (Propithecus tattersalli). Biological Conservation 108, 325–334.

    Article  Google Scholar 

  • Vermeulen, C., P. Lejeune, J. Lisein, P. Sawadogo, and P. Bouché (2013). Unmanned aerial survey of elephants. PLoS ONE 8, e54700.

    Article  Google Scholar 

  • Wall, C. C., C. Lembke, and D. A. Mann (2012). Shelf-scale mapping of sound production by fishes in the eastern Gulf of Mexico, using autonomous glider technology. Marine Ecology Progress Series 449, 55–64.

    Article  Google Scholar 

  • Watts, A. C., J. H. Perry, S. E. Smith, M. A. Burgess, B. E. Wilkinson, Z. Szantoi, P. G. Ifju, and H. F. Percival (2010). Small unmanned aircraft systems for low-altitude aerial surveys. Journal of Wildlife Management 74, 1614–1619.

    Article  Google Scholar 

  • Wegge, P. and T. Storaas (2009). Sampling tiger ungulate prey by the distance method: lessons learned in Bardia National Park, Nepal. Animal Conservation 12, 78–84.

    Article  Google Scholar 

  • White, G. C., R. M. Bartmann, L. H. Carpenter, and R. A. Garrott (1989). Evaluation of aerial line transects for estimating mule deer densities. Journal of Wildlife Management 53, 625–635.

    Article  Google Scholar 

  • Whitesides, G. H., J. F. Oates, S. M. Green, and R. P. Kluberdanz (1988). Estimating primate densities from transects in a west African rain forest: a comparison of techniques. Journal of Animal Ecology 57, 345–367.

    Article  Google Scholar 

  • Whittaker, D. G., W. A. V. Dyke, and S. L. Love (2003). Evaluation of aerial line transect for estimating pronghorn antelope abundance in low-density populations. Wildlife Society Bulletin 31, 443–453.

    Google Scholar 

  • Williams, R., S. L. Hedley, T. A. Branch, M. V. Bravington, A. N. Zerbini, and K. P. Findlay (2011). Chilean blue whales as a case study to illustrate methods to estimate abundance and evaluate conservation status of rare species. Conservation Biology 25, 526–535.

    Article  Google Scholar 

  • Williams, R., R. Leaper, A. N. Zerbini, and P. S. Hammond (2007). Methods for investigating measurement error in cetacean line-transect surveys. Journal of the Marine Biological Association of the United Kingdom 87, 313–320.

    Article  Google Scholar 

  • Yang, Z., T. Wang, A. K. Skidmore, J. de Leeuw, M. Y. Said, and J. Freer (2014). Spotting east African mammals in open savannah from space. PLoS ONE 9, e115989.

    Article  Google Scholar 

  • Zaugg, S., G. Saporta, E. van Loon, H. Schmaljohann, and F. Liechti (2008). Automatic identification of bird targets with radar via patterns produced by wing flapping. Journal of The Royal Society Interface 5, 1041–1053.

    Article  Google Scholar 

  • Zimmer, W. M. X., M. P. Johnson, P. T. Madsen, and P. L. Tyack (2005). Echolocation clicks of free-ranging Cuvier’s beaked whales (Ziphius cavirostris). The Journal of the Acoustical Society of America 117, 3919–3927.

    Article  Google Scholar 

  • Zitterbart, D. P., L. Kindermann, E. Burkhardt, and O. Boebel (2013). Automatic round-the-clock detection of whales for mitigation from underwater noise impacts. PLoS ONE 8, e71217.

    Article  Google Scholar 

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  1. CREEM The Observatory, University of St. Andrews, St. Andrews, UK

    S. T. Buckland, E. A. Rexstad, T. A. Marques & C. S. Oedekoven

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  1. S. T. Buckland
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  2. E. A. Rexstad
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  3. T. A. Marques
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Buckland, S.T., Rexstad, E.A., Marques, T.A., Oedekoven, C.S. (2015). The Basic Methods. In: Distance Sampling: Methods and Applications. Methods in Statistical Ecology. Springer, Cham. https://doi.org/10.1007/978-3-319-19219-2_1

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