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Schneider, David C. (1990)
Publisher: Co-Action Publishing
Journal: Polar Research
Languages: English
Types: Article
All marine organisms exhibit some degree of spatial autocorrelation, which is the tendency for high (or low) densities to occur in proximity, rather than at random in the ocean. Autocorrelation occurs at scales ranging from the length of the organism to thousands of kilometres. Autocorrelation results from a wide variety of mechanisms, many of which act at characteristic scales. Consequently, some insight into causal mechanisms can be obtained from exploratory analysis of the scale and intensity of autocorrelation of abundance or behaviour, and the scale and intensity (coherence) of cross-correlation with environmental variables such as water temperature or prey abundance. This paper uses seabird counts along extended transects to illustrate standard measures of autocorrelation and cross-correlation. A brief discussion of exploratory and confirmatory analysis of autocorrelated data on marine birds follows.
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    • Abrams, R. W. & Lutjeharms, .I.R. E . 1988: Relationships between seabirds and meso-scale hydrographic features in the Agulhas Current retroflection region. Proc. XIXlnternat. ornithol. Congr., 991-996.
    • Bourne, W . R. P. & Harris, M. P. 1979: Birds of the Hebrides: seabirds. Proc. Roy. SOC. Edinb. 778, 445475.
    • Box, G. E. P. & Jenkins, G. M. J. 1976: Time Series Anulysis: Forecasfingand Control. Holdcn-Day. San Francisco. 575 pp.
    • Braune, B. M. & Gaskin, D. E. 1982: Feeding ecology of non-breeding populations of larids off Deer Island, New Brunswick. Auk 99, 67-76.
    • Briggs, K. T., Dettman, K. F.. Lewis, D. B. & Tyler. W. B. 1984: Phalarope feeding in rclation to autumnal upwelling off California. Pp. 51-62 in Nettleship, D. N., Sanger. G. A . & Springer, P. F. (eds.): Marine Birds: Their Feeding Ecology and Commercial Fisheries Relationships. Canadian Wildlife Service, Ottawa.
    • Brown, R. G. B.. Nettleship, D. N., Germain, P.. Tull. C. E. & Davis, T. 1975: Atlas of Eastern Canadian Seubirdr. Canadian Wildlife Service. Ottawa. 220 pp.
    • Cliff, A. D. & Ord. J. K . 1973: Spatial Autocorrelation. Pion. London.
    • Devillers, P. 1978: Patchiness of scabird distribution and the shortcomings of sampling methods. Ibis 120. 125.
    • Diggle, P. J . 1983: Sfatistical Analysis of Spatial Point Patterns. Academic Press, London. 148 pp.
    • Gould, P. J . , Forsell, D. & Lensink. C. 1982: Magic Distribution and Abundance of Seabirds in the Gulf ofAlaska and Eastern Bering Sea. US Fish and Wildlife Service. Washing ton, D.C. 294 pp.
    • Green, R. H. 1979: Sampling Design and Statistical Methods for Enuironmental Biologists. Wiley, New York.
    • Greig-Smith, P. 1952: The use of random and contiguous quadrats in the study of the strueturc of plant communities. Annals of Botany 16, 293-316.
    • Hoffman, W., Heinemann, D . & Wiens, J . 1981: The ecology of seabird feeding flocks in Alaska. Auk 98. 437-456.
    • Hurlburt, S. H. 1984: Pseudoreplication and the design of ecological field experiments. Ecol. Monogr. 54, 187-211.
    • Kershaw, K. A. 1957: The use of cover and frequency in the detection of pattern in plant communities. Ecology 38, 291- 299.
    • Mendel, J. M. 1987: Lessons in Digital Estimation Theory. Prentice-Hall, Englewood Cliffs, NJ.
    • Mercier, F. M. & Gaskin, D. E. 1985: Feeding ecology of migrating Red-necked Phalaropes (Phalaropus lobatus) in the Quoddy region, New Brunswick, Canada. Can. J . Zool. 63, 1062-1067.
    • Platt, T. & Denman, K. L. 1975: Spectral analysis in ecology. Ann. Rev. Ecol. Syst. 6, 189-210.
    • Reed, W. 3. 1983: Confidence estimation of ecological aggregation indices based on counts - a robust procedure. Biometrics 39, 987-998.
    • Ripley, B . D . 1978: Spectral analysis and the analysis of pattern in plant communities. Journal of Ecol. 66, 965-981.
    • Ripley, B . D . 1981: Spatial Statistics. Academic Press, New York. 252 pp.
    • Schneider, D. C. 1982: Fronts and seabird aggregations in the southeastern Bering Sea. Mar. Ecol. -Progr. Ser. 10.101-103.
    • Schneider, D. C. & Duffy, D. C. 1985: Scale-dependent variability in seabird abundance. Mar. Ecol.-Progr. Ser. 2 5 , 211- 218.
    • Schneider. D. C. & Piatt, J . F. 1986: Scale-dependent correlation of seabirds with schooling fish in a coastal ecosystem. Mar. Eco1.-Progr. Ser. 32, 237-246.
    • Schneider, D. C., Hunt, G. L., Jr. & Harrison, N. M. 1986: Mass and energy transfer to pelagic birds in the southeastern Bering Sea. Cont. Shelf Res. 5 , 241-257.
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