SEARCH

SEARCH BY CITATION

References

  • Alldredge, M.W., Pollock, K.H., Simons, T.R., Collazo, J.A. & Shriner, S.A. (2007a) Time-of-detection method for estimating abundance from point-count surveys. Auk, 123, 653664.
  • Alldredge, M.W., Simons, T.R., Pollock, K.H. & Pacifici, K. (2007b) A field evaluation of the time-of-detection method to estimate population size and density for aural avian point counts. Avian Conservation and Ecology, 2, 13.
  • Barker, R.J. & Sauer, J.R. (1995) Statistical aspects of point count sampling. Monitoring Bird Populations by Point Counts (eds C.J. Ralph, J.R. Sauer & S. Droege), pp. 125130. Gen. Tech. Rep. PSW-GTR-149. U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station, Albany, CA.
  • Bart, J. (2005) Monitoring the abundance of bird populations. Auk, 122, 1525.
  • Bart, J. & Ernst, S. (2002) Double sampling to estimate density and population trends in birds. Auk, 119, 3545.
  • Bates, D., Maechler, M. & Bolker, B. 2013. lme4: Linear mixed-effects models using S4 classes. R package version 0.999999-2. URL: http://CRAN.R-project.org/package=lme4 [accessed April 22 2013]
  • Buckland, S.T., Anderson, D.R., Burnham, K.P., Laake, J.L., Borchers, D.L. & Thomas, L. (2001) Introduction to Distance Sampling: Estimating Abundance of Biological Populations. Oxford University Press, Oxford, UK.
  • Buckland, S.T., Russell, R.R., Dickson, B.G., Saab, V.A., Gorman, D.N. & Block, W.M. (2009) Analyzing designed experiments in distance sampling. Journal of Agricultural, Biological, and Environmental Statistics, 14, 432442.
  • Burnham, K.P., Buckland, S.T., Laake, J.L., Borchers, D.L., Marques, T.A., Bishop, J.R.B. & Thomas, L. (2004) Further topics in distance sampling. Advanced Distance Sampling: Estimating Abundance of Biological Populations (eds S.T. Buckland, D.R. Anderson, K.P. Burnham, J.L. Laake, D.L. Borchers & L. Thomas), pp. 305392. Oxford University Press, Oxford, UK.
  • Cumming, S.G., Lefevre, K., Bayne, E., Fontaine, T., Schmiegelow, F. & Song, S.J. (2010) Toward conservation of Canada's boreal forest avifauna: design and application of ecological models at continental extents. Avian Conservation and Ecology, 5, 8. URL http://www.ace-eco.org/vol5/iss2/art8/
  • Cumming, S.G., Stralberg, D., Lefevre, K., Sólymos, P., Bayne, E., Fang, S. et al. (2013) Climate and vegetation hierarchically structure patterns of songbird distribution in the Canadian boreal region. Ecography, 36, 115.
  • Diefenbach, D.R., Marshall, M.R., Mattice, J.A. & Brauning, D.W. (2007) Incorporating availability for detection in estimates of bird abundance. Auk, 124, 96106.
  • Efford, M.G. & Dawson, D.K. (2009) Effect of distance-related heterogeneity on population size estimates from point counts. Auk, 126, 100111.
  • Farnsworth, G.L., Pollock, K.H., Nichols, J.D., Simons, T.R., Hines, J.E. & Sauer, J.R. (2002) A removal model for estimating detection probabilities from point count surveys. Auk, 119, 414425.
  • Farnsworth, G.L., Nichols, J.D., Sauer, J.R., Fancy, S.G., Pollock, K.H., Shriner, S.A. & Simons, T.R. (2005) Statistical approaches to the analysis of point count data: a little extra information can go a long way. Bird Conservation Implementation and Integration in the Americas: Proceedings of the Third International Partners in Flight Conference (eds C.J. Ralph & T.D. Rich), pp. 736743. U.S. Department of Agriculture, Forest Service, Albany, CA. General Technical Report PSW-GTR-191.
  • Handel, C.M., Swanson, S.A., Nigro, D.A. & Matsuoka, S.M. (2009) Estimation of avian population sizes and species richness across a boreal landscape in Alaska. Wilson Journal of Ornithology, 121, 528547.
  • Hansen, M.C., DeFries, R.S., Townshend, J.R.G., Carroll, M., Dimiceli, C. & Sohlberg, R.A. (2003) Global percent tree cover at spatial resolution of 500 meters: first results of the MODIS vegetation continuous fields algorithm. Earth Interactions, 7, 115.
  • Hedley, S.L. & Buckland, S.T. (2004) Spatial models for line transect sampling. Journal of Agricultural, Biological, and Environmental Statistics, 9, 181199.
  • Huggins, R.M. (1991) Some practical aspects of a conditional likelihood approach to capture experiments. Biometrics, 47, 725732.
  • Iliff, M., Salas, L., Inzunza, E.R., Ballard, G., LePage, D. & Kelling, S. (2009) The Avian Knowledge Network: a partnership to organize, analyze, and visualize bird observation data for education, conservation, research, and land management. Proceedings of the 4th International Partners in Flight Conference (eds T. Rich, C. Arizmendi, C. Thompson & D. Demarest), pp. 365373, McAllen, TX, 13-16 February 2008.
  • Johnson, D.H. (2008) In defense of indices: the case of bird surveys. Journal of Wildlife Management, 72, 857868.
  • Latifovic, R., Olthof, I., Pouliot, D. & Beaubien, J. (2008) Land Cover map of Canada 2005 at 250 m Spatial Resolution. Natural Resources Canada, Earth Sciences Sector Program, and Canada Centre for Remote Sensing, Ottawa, Ontario. URL: http://ftp.ccrs.nrcan.gc.ca/ad/NLCCLandCover/LandcoverCanada2005_250m
  • Lele, S.R., Nadeem, K. & Schmuland, B. (2010) Estimability and likelihood inference for generalized linear mixed models using data cloning. Journal of the American Statistical Association, 10, 551563.
  • Lewin-Koh, N.J. & Bivand, R. (2012). Package ‘Maptools’: Tools for Reading and Handling Spatial Objects. Version 0.8-16. Comprehensive R Archive Network. URL http://CRAN.R-project.org/package=maptools [accessed 1 July 2012].
  • Marques, F.F.C. & Buckland, S.T. (2004) Covariate models for detection. Advanced Distance Sampling: Estimating Abundance of Biological Populations (eds S.T. Buckland, D.R. Anderson, K.P. Burnham, J.L. Laake, D.L. Borchers & L. Thomas), pp. 305392. Oxford University Press, Oxford, UK.
  • Marques, T.A., Thomas, L., Fancy, S.G. & Buckland, S.T. (2007) Improving estimates of bird density using multiple-covariate distance sampling. Auk, 124, 12291243.
  • Matsuoka, S.M., Bayne, E.M., Sólymos, P., Fontaine, P., Cumming, S.G., Schmiegelow, F.K.A. & Song, S.J. (2012) Using binomial distance-sampling models to estimate the effective detection radius of point-count surveys across boreal Canada. Auk, 129, 268282.
  • Meeus, J. (1991) Astronomical Algorithms. Willmann-Bell, Richmond, Virginia, USA.
  • Nichols, J.D., Thomas, L. & Conn, P.B. (2009) Inferences about landbird abundance from count data: recent advances and future directions. Journal of Ecological and Environmental Statistics, 3, 201236.
  • Pollock, K.H., Nichols, J.D., Simons, T.R., Farnsworth, G.L., Bailey, L.L. & Sauer, J.R. (2002) Large scale wildlife monitoring studies: statistical methods for design and analysis. Environmetrics, 13, 105119.
  • R Core Team. (2012). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org. Version 2.15.1. [accessed 1 October 2012]
  • Ralph, C.J., Droege, S. & Sauer, J.R. (1995) Managing and monitoring birds using point counts: standards and applications. Monitoring Bird Populations by Point Counts (eds C.J. Ralph, J.R. Sauer & S. Droege), pp. 161169. U. S. Department of Agriculture, Forest Service, Albany, CA. General Technical Report PSW-GTR-149.
  • Reidy, J.L., Thompson, F.R. III & Bailey, J.W. (2011) Comparison of methods for estimating density of forest songbirds from point counts. Journal of Wildlife Management, 75, 558568.
  • Rosenstock, S.S., Anderson, D.R., Giesen, K.M., Leukering, T. & Carter, M.F. (2002) Landbird counting techniques: current practices and an alternative. Auk, 119, 4653.
  • Royle, J.A. (2004) N-mixture models for estimating population size from spatially replicated counts. Biometrics, 60, 108115.
  • Royle, J.A., Dawson, D.K. & Bates, S. (2004) Modeling abundance effects in distance sampling. Ecology, 85, 15911597.
  • Schieck, J. (1997) Biased detection of bird vocalizations affects comparisons of bird abundance among forested habitats. Condor, 99, 179190.
  • Scott, J.M. & Ramsey, F.L. (1981) Length of count period as a possible source of bias in estimating bird densities. Studies in Avian Biology, 6, 409413.
  • Sólymos, P. (2010) dclone: data cloning in R. R Journal, 2, 2937.
  • Sólymos, P., Lele, S.R. & Bayne, E. (2012) Conditional likelihood approach for analyzing single visit abundance survey data in the presence of zero inflation and detection error. Environmetrics, 23, 197205.
  • Sólymos, P., Moreno, M. & Lele, S.R. (2013) Detect: analyzing wildlife data with detection error. R package version 0.3-0. URL: http://CRAN.R-project.org/package=detect [accessed July 30 2013]