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This paper assessed the reliability of this simple, freely available software package …


Biology Articles » Conservation Biology » Spot the match – wildlife photo-identification using information theory » References

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- Spot the match – wildlife photo-identification using information theory

  • Caughley, G.; Gunn, A. Conservation Biology in Theory and Practice. Cambridge, MA., Blackwell Science; 1996.
  • Lebreton JD, Burnham KP, Clobert J, Anderson DR. Modeling survival and testing biological hypotheses using marked animals: a unified approach with case studies. Ecol Monog. 1992;62:67–118. doi: 10.2307/2937171.
  • Whitehead, H.;Christal, J.; Tyack, PL. Studying cetacean social structure in space and time. In: Mann J, Connor RC, Tyack PL and Whitehead H. , editor. Cetacean Societies: Field Studies of Dolphins and Whales. Chicago and London, University of Chicago Press; 2000. pp. 65–86.
  • Booth DJ. Synergistic effects of conspecifics and food on growth and energy allocation of a damselfish. Ecology. 2004;85:2881–2887.
  • Kohler NE, Turner PA. Shark tagging: A review of conventional methods and studies. Environmental Biology of Fishes. 2001;60:191–223. doi: 10.1023/A:1007679303082.
  • Auckland JN, Debinski DM, Clark WR. Survival, movement, and resource use of the butterfly Parnassius clodius. Ecological Entomology. 2004;29:139–149. doi: 10.1111/j.0307-6946.2004.00581.x.
  • Watkins WA, Daher MA, Fristrup KM, Howald TJ, Disciara GN. Sperm whales tagged with transponders and tracked underwater by sonar. Mar Mamm Sci. 1993;9:55–67. doi: 10.1111/j.1748-7692.1993.tb00426.x.
  • Gauthier-Clerc M, Gendner JP, Ribic CA, Fraser WR, Woehler EJ, Descamps S, Gilly C, Le Bohec C, Le Maho Y. Long-term effects of flipper bands on penguins. Proc R Soc Lond Ser B-Biol Sci. 2004;271:S423–S426.
  • Bateson PPG. Testing an observer's ability to identify individual animals. Animal Behaviour. 1977;25:247–248. doi: 10.1016/0003-3472(77)90090-2.
  • Ogutu JO, Piepho HP, Dublin HT, Reid RS, Bhola N. Application of mark-recapture methods to lions: satisfying assumptions by using covariates to explain heterogeneity. Journal of Zoology. 2006;269:161–174.
  • Bradshaw CJA, Barker RJ, Davis LS. Modeling tag loss in New Zealand fur seal pups. J Agric Biol Environ Stat. 2000;5:475–485. doi: 10.2307/1400661.
  • Schwarz CJ, Seber GAF. Estimating animal abundance: Review III. Statistical Science. 1999;14:427–456. doi: 10.1214/ss/1009212521.
  • Wilson RP, McMahon CR. Measuring devices on wild animals: what constitutes acceptable practice? Frontiers in Ecology and the Environment. 2006;4:147–154.
  • McMahon CR, Bradshaw CJA, Hays GC. Branding can be justified in vital conservation research. Nature. 2006;439:392. doi: 10.1038/439392c. 
  • Stevick PT, Palsbøll PJ, Smith TD, Bravington MV, Hammond PS. Errors in identification using natural markings: rates, sources, and effects on capture–recapture estimates of abundance. Canadian Journal of Fisheries and Aquatic Sciences. 2001;58:1861–1870. doi: 10.1139/cjfas-58-9-1861.
  • Dixon DR. A non-invasive technique for identifying individual badgers Meles meles. Mammal Review. 2003;33:92–94. doi: 10.1046/j.1365-2907.2003.00001.x.
  • Fujiwara M, Caswell H. Demography of the endangered North Atlantic right whale. Nature. 2001;414:537–541. doi: 10.1038/35107054. 
  • Sears, R.;Williamson, JM.;Wenszel, FW.;Berube, M.;Gendron, D.; Jones, P. Photographic identification of the blue whale (Balaenoptera musculus) in the Gulf of St. Lawrence, Canada. Report of the International Whaling Commission. 1990. pp. 335–342.
  • Meekan MG, Bradshaw CJA, Press M, McLean C, Richards A, Quasnichka S, Taylor JG. Population size and structure of whale sharks (Rhincodon typus) at Ningaloo Reef, Western Australia. Marine Ecology Progress Series. 2006;319:275–285.
  • Arzoumanian Z, Holmberg J, Norman B. An astronomical pattern-matching algorithm for computer-aided identification of whale sharks Rhincodon typus. Journal of Applied Ecology. 2005;42:999–1011. doi: 10.1111/j.1365-2664.2005.01117.x.
  • Mizroch, SA.;Beard, JA.; Lynde, M. Computer-assisted photo-identification of humpback whales. Report of the International Whaling Commission. 1990. pp. 63–70.
  • Wilkin, DJ.;Debure, KR.; Roberts, ZW. Query by sketch in DARWIN: digital analysis to recognize whale images on a network. In: Yeung MM, Yeo BL and Bouman CA. , editor. Storage and Retrieval for Image and Video Databases VII Proceedings of the International Society for Optical Engineering (SPIE) Vol 3656. Vol. 3656. Bellingham, Washington, SPIE; 1998. pp. 41–48.
  • Evans, PGH. EUROPHLUKES Database Specifications Handbook. http://www.europhlukes.net. 2003.
  • Lapolla, F. The Dolphin Project http://thedolphinproject.org. 2005.
  • Urian, K. Mid-Atlantic Bottlenose Dolphin Catalog http://moray.ml.duke.edu/faculty/read/mabdc.html. 2005.
  • Hillman G, Wursig B, Gailey G, Kehtarnavaz N, Drobyshevsky A, Araabi BN, Tagare HD, Weller DW. Computer-assisted photo-identification of individual marine vertebrates: a multi-species system. Journal of Aquatic Mammals. 2003;29:117–123. doi: 10.1578/016754203101023960.
  • Burnham, KP.; Anderson, DR. Model Selection and Multimodal Inference: A Practical Information-Theoretic Approach. 2nd. New York, USA, Springer-Verlag; 2002. p. 488.
  • Kelly MJ. Computer-aided photograph matching in studies using individual identification: An example from Serengeti cheetahs. Journal of Mammalogy. 2001;82:440–449. doi: 10.1644/1545-1542(2001)0822.0.CO;2.
  • Bradshaw CJA, Mollet HG, Meekan MG. Inferring population trends of the world's largest fish from mark-recapture estimates of survival. Journal of Animal Ecology. 2007;DOI: 10.1111/j.1365-2656.2007.01201.x
  • CITES. CITES Appendix II nomination of the Whale Shark, Rhincodon typus. Proposal 12.35. Santiago, Chile, CITES Resolutions of the conference of the parties in effect after the 12th Meeting; 2002.
  • Van Tienhoven AM, Den Hartog JE, Reijns R, Peddemors VM. A computer-aided program for pattern-matching of natural marks of the spotted raggedtooth shark Carcharias taurus (Rafinesque, 1810). Journal of Applied Ecology. 2007;In press
  • Interactive Individual Identification Software (I3S). http://www.reijns.com/i3s
  • Fagan WF, Holmes EE. Quantifying the extinction vortex. Ecology Letters. 2006;9:51–60. 
  • Karanth KU, Nichols JD. Estimation of tiger densities in India using photographic captures and recaptures. Ecology. 1998;79:2852–2862. doi: 10.2307/176521.
  • Kelly MJ. Computer-aided photograph matching in studies using individual identification: an example from Serengeti cheetahs. Journal of Mammalogy. 2001;82:440–449. doi: 10.1644/1545-1542(2001)0822.0.CO;2.
  • Kehtarnavaz N, Peddigari V, Chandan C, Syed W, Hillman G, Wursig B. Photo-identification of humpback and gray whales using affine moment invariants. (Lecture Notes in Computer Science).Image Analysis, Proceedings. 2003;2749:109–116.
  • Gope C, Kehtarnavaz N, Hillman G, Wursig B. An affine invariant curve matching method for photo-identification of marine mammals. Pattern Recognition. 2005;38:125–132. doi: 10.1016/j.patcog.2004.06.005.
  • Karlsson O, Hiby L, Lundberg T, Jussi M, Jussi I, Helander B. Photo-identification, site fidelity, and movement of female gray seals (Halichoerus grypus) between haul-outs in the Baltic Sea. Ambio. 2005;34:628–634. doi: 10.1639/0044-7447(2005)034[0628:PSFAMO]2.0.CO;2. 
  • Agler BA. Testing the reliability of photographic identification of individual fin whales (Balaenoptera physalus). Report of the International Whaling Commission. 1992;42:731–737.
  • Friday N, Smith TD, Stevick PT, Allen J. Measurement of photographic quality and individual distinctiveness for the photographic identification of humpback whales, Megaptera novaengliae. Marine Mammal Science. 2000;16:355–374. doi: 10.1111/j.1748-7692.2000.tb00930.x.
  • Palsboll PJ. Genetic tagging: contemporary molecular ecology. Biological Journal of the Linnean Society. 1999;68:3–22. doi: 10.1006/bijl.1999.0327.
  • Last, PR.; Stevens, JD. Sharks and Rays of Australia. , CSIRO; 1994.
  • R Core Development Team. R: A Language and Environment for Statistical Computing. Vienna, Austria, R Foundation for Statistical Computing; 2004.
  • Akaike, H. Information theory as an extension of the maximum likelihood principle. In: Petrov BN and Csaki F. , editor. Proceedings of the Second International Symposium on Information Theory. Budapest, Hungary, ; 1973. pp. 267–281.
  • Link WA, Barker RJ. Model weights and the foundations of multimodel inference. Ecology. 2006;87:2626–2635.

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