Korean Journal of Fisheries and Aquatic Sciences (한국수산과학회지)

The Korean Society of Fisheries and Aquatic Science (한국수산과학회)
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Abundance Estimation of the Finless Porpoise, Neophocaena phocaenoides, Using Models of the Detection Function in a Line Transect

Line Transect에서 발견율함수 추정에 사용되는 모델에 따른 상괭이, Neophocaena phocaenoides의 자원개체수 추정

  • Published : 2007.08.31
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Abstract

Line transect sampling in a sighting survey is one of most widely used methods for assessing animal abundance. This study applied distance data, collected from three sighting surveys using line transects for finless porpoise that were conducted in 2004 and 2005 off the west coast of Korea, to four models (hazard-rate, uniform, half-normal and exponential) that can use a variety of detection functions, g (x). The hazard-rate model, a derived model for the detection function, should have a shoulder condition chosen using the AIC (Akaike Information Criterion), as the most suitable model. However, it did not describe a shoulder shape for the value of g(x) near the track tine and underestimated g (x), just as the exponential model did. The hazard-rate model showed a bias toward overestimating the densities of finless porpoises with a higher coefficient of variation (CV) than the other models did. The uniform model underestimated the densities of finless porpoise but had the lowest CV. The half-normal model described a detection function with a shape similar to that of the uniform model. The half-normal model was robust for finless porpoise data and should be able to avoid density underestimation. The estimated abundance of finless porpoise was 3,602 individuals (95% CI=1,251-10,371) inshore in 2005 and 33,045 individuals (95% CI=24,274-44,985) offshore in 2004.

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References

  1. Akaike, H. 1985. Prediction and entropy. In: A Celebration of Statistics. Atkinson, A.C. and S.E. Feinberg, eds. Springer-Verlag, Berlin, 1-24
  2. Buckland, S.T. 1985. Perpendicular distance models for line transect sampling. Biometrics, 41, 177-195 https://doi.org/10.2307/2530653
  3. Buckland, S.T. 1987a. On the varible circular plot method of estimating animal density. Biometrics, 43, 363-384 https://doi.org/10.2307/2531819
  4. Buckland, S.T. 1987b. An assessment of the performance of line transect models for fitting IWC/IDCR cruise data, 1978/79 to 1984/85. Report of the IntI. Whal. Comm., 37, 277-279
  5. Buckland, S.T., D.R. Anderson, K.P. Burnham and J.L. Laake. 1993. Distance Sampling. In: Estimating Abundance of Biological Populations. Chapman & Hall, London, 1-446
  6. Burnham, K.P. and D.R. Anderson. 1976. Mathematical models for non-parametric inferences from line transect data. Biometrics, 32, 325-336 https://doi.org/10.2307/2529501
  7. Burnham, K.P., D.R. Anderson and J.L. Laake. 1980. Estimation of density from line transect sampling of biological populations. Wildlife Monogr., 72, 1-202
  8. Crain, B.R., K.P. Burnham, DR Anderson and J.L. Laake. 1979. Nonparametric estimation of populaion density for line transect sampling using Fourier series. Biom. J., 21, 731-748 https://doi.org/10.1002/bimj.4710210804
  9. Eberhardt, L.L. 1968. A preliminary appraisal of line transect. J. Wild. Man., 32, 82-88 https://doi.org/10.2307/3798239
  10. Eberhardt, L.L. 1978. Transect methods for population studies, J. Wild. Man., 42, 1-31 https://doi.org/10.2307/3800685
  11. Fewster, R.M., J.L. Laake and S.T. Buckland. 2005. Line transect sampling in small and large regions, Biometrics, 61, 856-861 https://doi.org/10.1111/j.1541-0420.2005.00413_1.x
  12. Gates, C.E., W.H. Marshall and D.P. Olson. 1968. Line transect method of estimating grouse population densities. Biometrics, 24, 135-45 https://doi.org/10.2307/2528465
  13. Hammond, P.S. and J.L. Laake. 1984. Estimates of sperm whale density in the eastern tropical Pacific, 1974-1982. Rep. Intl. Whal. Comm., 34, 255-258
  14. Hayne, D.W. 1949. An examination of the strip census method for estimating animal populations. J. Wild. Man., 13, 145-57 https://doi.org/10.2307/3796084
  15. Kelker, G.H. 1945. Measurement and interpretation of forces that determine population of managed deer, Ph.D. Dissertation, University of Michigan, Ann Arbor, MI, USA, 1-422
  16. Leopold, A. 1933. Game Management, Charles Schribner's Sons, Now York, 1-130
  17. Melville, G.J. and A.H. Welsh. 2001. Line transect sampling in small regions. Biometrics, 57, 1130-1137 https://doi.org/10.1111/j.0006-341X.2001.01130.x
  18. NFRDI (National Fisheries Research & Development Institute). 2004. Ecological study of finless porpoise in Korean waters. NFRDI Subject Report, 1-96
  19. NFRDI (National Fisheries Research & Development Institute). 2005. Ecological study of finless porpoise in Korean waters. NFRDI Subject Report, 1-108
  20. Quinn, T.J. II and V.F. Gallucci. 1980. Parametric models for line transect estimators of abundance, Ecology, 61, 293-302 https://doi.org/10.2307/1935188
  21. Schweder, T., N. Oien and G. HOst. 1991. Estimates of the detection probability for shipboard surveys of northeastern Atlantic minke whales, based on parallel ship experiment. Rep. IntI. Whal. Comm., 41, 417-32
  22. Seber, G.A.F. 1979. Transect of random length, in sampling biological populations. Cormack, R.M., G.P. Patil and D.S. Robson, eds. International Co-operative Publishing House, Faitland, MD, USA, 183-192
  23. Seber, G.A.F. 1982. The Estimation of Animal Abundance and Related Parameters, Macmillan, New York, 1-506
  24. Sohn H., Z.G. Kim and T. Miyashita. 2001. Abundance estimate of minke whale, Blaenoptera acutorostrata, by sighting survey in the Yellow Sea, spring 2001. J. Kor. Soc. Fish. Res., 4, 51-63
  25. Stuart, A. and J.K. Ord. 1987. Kendall's Advanced Theory of Statistics, Vol. 1. Griffin, London, 1-604
  26. Thomas, L., J.L. Laake, S. Strindberg, F.F.C. Marques, S.T. Buckland, D.L. Borchers, D.R. Anderson, K.P. Burnham, S.L. Hedley, J.H. Pollard and J.R.B. Bishop. 2003. Distance 4.1. Release 'x' 1. Research Unit for Wildlife Population Assessment, University of St. Andrews, UK. http://www.ruwpa.stand.ac.uk/ distance/
  27. Zhang C.I., K.J. Park., Z.G. Kim and H. Sohn 2004. Distribution and abundance of finless porpoise (Neophocaena phocaenoides) in the west coast of Korea. J. Kor. Fish. Soc. 37, 129-136 https://doi.org/10.5657/kfas.2004.37.2.129
  28. Zhang, S. 2001. Improvements in the kernel estimation in line transect sampling without the shoulder condition. Stat. Prob. Lett., 53, 249-58 https://doi.org/10.1016/S0167-7152(01)00013-X

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