A selected bibliography

HOME

Amstrup, S C; T L McDonald; B F J Manly, editors. 2005. Handbook of capture-recapture analysis. Princeton University Press, Princeton NJ

Anderson, D R; K P Burnham; W L Thompson. 2000. Null hypothesis testing: problems, prevalence, and an alternative. J Wildlife Management 64:912-923.

Arnold, T W. 2010. Uninformative parameters and model selection using Akaike’s Information Criterion. Journal of Wildlife Management 74(6): 1175-1178

Berger, J O; D A Berry. 1988. Statistical analysis and the illusion of objectivity. American Scientist 76:159-165 (link)

Berger, W H; F L Parker. 1970. Diversity of planktonic Foramenifera in deep sea sediments. Science 168:1345-1347.

Bierregaard, R O, jr; T E Lovejoy; V Kapos; A A dos Santos; R W Hutchings. (1992) The biological dynamics of tropical forest fragments. BioScience, 42, 859-866.

Bolker, B M 2008. Ecological Models and Data in R. Princeton University Press, Princeton.

Bolstad, W M 2004. Introduction to Bayesian statistics. Wiley-Interscience, Hoboken NJ.

Buckland, S T; D R Anderson; K P Burnham; J L Laake; D L Borchers; L Thomas 2001. Introduction to distance sampling: estimating abundance of biological populations. Oxford University Press, Oxford, UK. ● Essential reading for anyone doing distance sampling.

Buckland, S T; D R Anderson; K P Burnham; J L Laake; D L Borchers; L Thomas, editors. 2004. Advanced distance sampling. Oxford University Press, Oxford, UK

Burnham, K P; D R Anderson 2002. Model selection and multi-model inference. Springer-Verlag ● A highly influential book that introduced AIC to ecologists; still an essential introduction.

Butcher, J A; J E Groce; C M Lituma; M C Cocimano; Y Sánchez-Johnson, et al. 2007. Persistent controversy in statistical approaches in wildlife sciences: a perspective of students. J Wildlife Management 71:2142-2144.

Chamberlin, T C. 1890. The method of multiple working hypotheses: With this method the dangers of parental affection for a favorite theory can be circumvented. Science 15:92. Argued for multiple models rather than looking for true/false hypotheses.

Chao, A; T-J Shen. 2003. Nonparametric estimation of Shannon's index of diversity when there are unseen species in sample. Environmental and Ecological Statistics 10:429-443.

Christensen, R. 2005. Testing Fisher, Neyman, Pearson, and Bayes. American Statistician 59:121-126 In interesting comparison of the different frequentist approaches and their relationship to Bayes.

Cohen, J. 1994. The earth is round (p < .05). American Psychologist 49:997-1003. An early critique of the mindless application of NHST, still often quoted.

Colwell, R K; A Chao; N J Gotelli; S-Y Lin; C X Mao; R L Chazdon; J T Longino. 2012. Models and estimators linking individual-based and sample-based rarefaction, extrapolation and comparison of assemblages. Journal of Plant Ecology 5:3-21. link

Cooch, E; G White 2010 (9th edition, but constantly updated). Program MARK: a gentle introduction. Available online in PDF format here

Crome, F H J; M R Thomas; L A Moore. 1996. A novel Bayesian approach to assessing impacts of rain forest logging. Ecological Applications 6:1104-1123 One of the earliest applications of Bayesian methods to management. Faced with the need for "plain English" interpretations, they explored "Bayesian procedures, which allow straightforward probability statements to be made about specific cases." (p. 1104).

Dalgaard, P 2002. Introductory Statistics with R. Springer-Verlag, New York. This was my introduction to doing statistical analysis in R.

Efford, M. 2004. Density estimation in live-trapping studies. Oikos, 106, 598-610 The first approach to SECR, now superseded by MLE methods in the 2009 paper.

Efford, M G; D K Dawson; D L Borchers 2009. Population density estimated from locations of individuals on a passive detector array. Ecology 90(10): 2676-2682.

Efron, B; R J Tibshirani 1993. An introduction to the bootstrap. Chapman and Hall/CRC, London.

Fidler, F; M A Burgman; G Cumming; R Buttrose; N Thomason. 2006. Impact of criticism of null-hypothesis significance testing on statistical reporting practices in conservation biology. Conservation Biology 20:1539-1544.

Fisher, R A 1925, 1946. Statistical methods for research workers. Oliver and Boyd, Edinburgh. (Page numbers refer to the 10 edition, 1946).

Fisher, R A; A S Corbet; C B Williams. 1943. The relation between the number of species and the number of individuals in a random sample of an animal population. J Animal Ecology 12:42-58.

Fox, J. 2002. An R and S-PLUS Companion to Applied Regression, Sage Publications Inc, Thousand Oaks CA.

Gelman, A; J Hill 2007. Data analysis using regression and multilevel/hierarchical models. Cambridge University Press. A nice introduction to hierarchical modelling with BUGS code; most of the examples come from the social sciences.

Gelman, A; H Stern. 2006. The difference between “significant” and “not significant” is not itself statistically significant. American Statistician 60(4):328-331.

Gotelli, N J; A M Ellison. 2004. A primer of ecological statistics. Sinauer Associates, Sunderland MA.

Hedges, S; D Lawson. 2006. Dung survey standards for the MIKE programme. CITES MIKE Central Coordinating Unit, Nairobi, Kenya.

Hedges, S; M J Tyson; A F Sitompul; M F Kinnaird; D Gunaryadi; Aslan. 2005. Distribution, status, and conservation needs of Asian elephants (Elephas maximus) in Lampung Province, Sumatra, Indonesia. Biological Conservation 124:35-48.

Hilborn, R; M Mangel 1997. The ecological detective: confronting models with data. Princeton University Press, Princeton NJ.

Hill, M O. 1973. Diversity and evenness: a unifying notation and its consequences. Ecology 54:427-431

Hobbs, N T; M B Hooten. 2015. Bayesian models: a statistical primer for ecologists. Princeton and Oxford, Princeton University Press. A theoretical introduction to the topic with no computer code (!); intimidating at first glance, but the authors take us through progressively and clearly.

Johnson, D H. 1999. The insignificance of statistical hypothesis testing. J Wildlife Management 63:763-772.

Jost, L. 2006. Entropy and diversity. Oikos 113:363-375.

Karanth, K U; J D Nichols; N S Kumar; W A Link; J E Hines. 2004. Tigers and their prey: Predicting carnivore densities from prey abundance. Proceedings of the National Academy of Sciences 101:4854-4858. (Available on line at http://www.ncbi.nlm.nih.gov/pmc/articles/PMC387338/)

Kéry, M 2010. Introduction to WinBUGS for ecologists: A Bayesian approach to regression, ANOVA, mixed models and related analyses. Academic Press.

Kéry, M; J A Royle 2016. Applied hierarchical modeling in ecology: Analysis of distribution, abundance and species richness in R and BUGS Vol 1. Amsterdam etc, Elsevier. An in-depth treatment of a range of wildlife models, with full R and BUGS/JAGS code to run the examples. MLE analyses use the unmarked package.

Kéry, M; M Schaub 2011. Bayesian population analysis using WinBUGS - a hierarchical perspective. Academic Press. A wide range of wildlife models with full R and WinBUGS code, and JAGS code is available on-line.

Kruschke, J K 2011. Doing Bayesian data analysis: a tutorial with R and BUGS. Elsevier, Amsterdam

Kruschke, J K 2014. Doing Bayesian data analysis: a tutorial with R, JAGS and Stan 2nd Edition. Elsevier, Amsterdam

Laing, S E; S T Buckland; R W Burn; D Lambie; A Amphlett. 2003. Dung and nest surveys: estimating decay rates. J Applied Ecology 40:1102-1111.

Lebreton, J-D; K P Burnham; J Clobert; D R Anderson. 1992. Modeling survival and testing biological hypotheses using marked animals: a unified approach with case studies. Ecological Monographs, 62, 67-118.

Link, W A; R J Barker 2010. Bayesian Inference with ecological applications. Academic Press, San Diego CA.

Longino, J T; J Coddington; R K Colwell. 2002. The ant fauna of a tropical rain forest: estimating species richness three different ways. Ecology 83:689-702

Lynam, A J; R Laidlaw; Wan Shaharuddin Wan Noordin; S Elagupillay; E L Bennett. 2007. Assessing the conservation status of the tiger Panthera tigris at priority sites in Peninsular Malaysia. Oryx 41:454-462

Magurran, A E 2004. Measuring biological diversity. Blackwell.

MacKenzie, D I; J D Nichols; G B Lachman; S Droege; J A Royle; C A Langtimm. 2002. Estimating site occupancy rates when detection probabilities are less than one. Ecology 83:2248-2255 The first paper to estimate occupancy by jointly estimating probability of occupancy and probability of detection.

MacKenzie, D I; J D Nichols; A J Royle; K H Pollock; L L Bailey; J E Hines 2006. Occupancy estimation and modeling : inferring patterns and dynamics of species occurrence. Elsevier Publishing. A good book on occupancy; does not cover many of the more recent developments and doesn't include Bayesian analysis.

McElreath, R. 2016. Statistical rethinking: a Bayesian course with examples in R and Stan. Boca Raton etc, CRC Press. An excellent introduction to modelling from a Bayesian perspective. It gets into quite deep water with AIC and other information criteria, maximum entropy priors, etc, but clearly explained and well paced.

McGarvey, D J. 2007. Merging precaution with sound science under the Endangered Species Act. BioScience 57:65-70.

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

Maurer, B A; B J McGill. 2011. Measurement of species diversity. 55-64 in Magurran, A E, and B J McGill, editors. Biological diversity: frontiers in measurement and assessment. Oxford University Press, Oxford, New York NY

Morrison, M L; W M Block; M D Strickland; W L Kendall. 2001. Wildlife study design Springer, New York.

Morrogh-Bernard, H; S Husson; S E Page; J O Rieley. 2003. Population status of the Bornean orang-utan (Pongo pygmaeus) in the Sebangau peat swamp forest, Central Kalimantan, Indonesia. Biological Conservation 110:141-152.

Ntzoufras, I 2009. Bayesian modeling using WinBUGS. Wiley, Hoboken NJ.

Payne, J; C M Francis; K Phillipps. 1985. A field guide to the mammals of Borneo. The Sabah Society and WWF Malaysia.

Popper, K. 1959. The logic of scientific discovery. Bantam Books

Quinn, G P; M J Keough. 2002. Experimental design and data analysis for biologists. Cambridge University Press, Cambridge UK.

Ramsey, F L; D W Schafer 2002. The statistical sleuth: a course in methods of data analysis. Duxbury Press, Belmont CA. If you need an introduction to NHST, this is a good modern treatment with many biological examples.

Rennolls, K; Y Laumonier. 2006. A new local estimator of regional species diversity, in terms of ‘shadow species’, with a case study from Sumatra. J Tropical Ecology 22:321-329.

Rényi, A. 1961. On measures of entropy and information. Pages p 547-561 in Neyman, J, editor. 4th Berkeley symposium on mathematical statistics and probability. University of California Press, Berkeley CA, Berkeley. Reprinted in Pal Turan (Hrsg), Selected papers of Alfred Rényi. Akademiai Kiado, Budapest, 2:565-580, 1976.

Robinson, D H; H Wainer. 2002. On the past and future of null hypothesis significance testing. J Wildlife Management 66:263-271

Royall, R M 1997. Statistical evidence: a likelihood paradigm. Chapman and Hall/CRC, New York NY Argues for keeping separate the questions: What do the data tell me? What do I believe? What should I do?

Royle, J A; R B Chandler; R Sollmann; B Gardner 2014. Spatial capture-recapture Elsevier. The standard book on SECR, going into lots of detail of Bayesian analysis in JAGS but also covering MLE methods and the secr package.

Royle, J A; R M Dorazio 2008. Hierarchical modeling and inference in ecology: the analysis of data from populations, metapopulations and communities. Academic Press. The seminal book that introduced hierarchical modelling concepts and Bayesian analysis to ecologists.

Royle, J A; J D Nichols. 2003. Estimating abundance from repeated presence-absence data or point counts. Ecology 84:777-790

Russon, A E; A Erman; R Dennis. 2001. The population and distribution of Orang-utans (Pongo pygmaeus pygmaeus) in and around Danau Sentarum Wildlife Reserve, West Kalimantan, Indonesia. Biological Conservation 97:21-28.

Shannon, C E. 1948. A mathematical theory of communication. Bell System Technical Journal 27:379-423 (link) The original paper on diversity; read this if you want to use the Shannon-Wiener index!

Simpson, E H. 1949. Measurement of diversity. Nature 163:688 And read this if you want to use Simpson's index!

Snedecor, G W. 1937. Statistical Methods Applied to Experiments in Agriculture and Biology

Stephens, P A; S W Buskirk; C Martínez del Rio. 2007. Inference in ecology and evolution. Trends in Ecology and Evolution 22:192-197

van Schaik, C P; A Priatna; D Priatna. 1995. Population estimates and habitat preferences of orangutans based on line transects of nests. pp 129-147 in Nadler, R D, B F M Galdikas, L K Sheeran, and N Rosen, editors. The neglected ape. Plenum, New York.

Venables, W N; B D Ripley 2002. Modern applied statistics with S. Springer-Verlag, New York.

Vehtari, A; Gelman A; Gabry J. 2016. Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Statistics and Computing. doi: 10.1007/s11222-016-9696-4 (link).

Vucetich, J A; R O Peterson; C L Schaefer. 2002. The effect of prey and predator densities on wolf predation. Ecology 83:3003-3013 Nice examples of the use of AIC to choose between models which are not variations on the regression theme - and are not nested.

Wade, P R. 2000. "Bayesian methods in conservation biology." Conservation Biology 14(5): 1308-1316.

Wade, P R. 2001. The conservation of exploited species in an uncertain world: novel methods and the failure of traditional techniques. Ch 6 in Reynolds, J, G M Mace, K H Redford, and J G Robinson, editors. Conservation of exploited species. Cambridge University Press, Cambridge UK. Compares NHST with Bayesian analysis as a basis for decision making, showing how Bayes is more useful for management. This convinced me back in 2003 that we needed to use Bayes for wildlife data analysis.

Walsh, P D; L J T White. 2005. Evaluating the steady state assumption: simulations of gorilla nest decay. Ecological Applications 15:1342-1350  ● Debunk the idea of a simple relationship between nest counts and primate numbers. Changes in nest counts tell you more about the weather than the animals.

Wang, S W; D W Macdonald. 2009. The use of camera traps for estimating tiger and leopard populations in the high altitude mountains of Bhutan. Biological Conservation, 142, 606-613. They used unpaired cameras and analysed the data for left flanks and right flanks separately.

Yates, F. 1935. Complex experiments. J Royal Statistical Society Supplement 2:181-247

Updated 22 December 2017 by Mike Meredith