FORAGING IN A FRACTAL ENVIRONMENT - SPATIAL PATTERNS IN A MARINE PREDATOR-PREY SYSTEM

被引:102
作者
RUSSELL, RW
HUNT, GL
COYLE, KO
COONEY, RT
机构
[1] Department of Ecology and Evolutionary Biology, University of California, Irvine, 92717, California
[2] Institute of Marine Science, University of Alaska, Fairbanks, 99775-1080, Alaska
关键词
FRACTAL DIMENSION; SPATIAL CORRELATION; PREDATORS; CONSUMERS; RESOURCES; SEABIRDS; ZOOPLANKTON; FORAGING; ANIMAL MOVEMENTS;
D O I
10.1007/BF00133310
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Spatial relationships between predators and prey have important implications for landscape processes and patterns. Highly mobile oceanic birds and their patchily distributed prey constitute an accessible model system for studying these relationships. High-frequency echosounders can be used together with simultaneous direct visual observations to quantitatively describe the distributions of seabird consumers and their resources over a wide range of spatial scales, yielding information which is rarely available in terrestrial systems. Recent fine-scale investigations which have used acoustics to study the distribution of foraging marine birds have reported weak or ephemeral spatial associations between the birds and their prey. These results are inconsistent with predictions of optimal foraging, but several considerations suggest that traditional foraging models do not adequately describe resource acquisition in marine environments. Relative to their terrestrial counterparts, oceanic 'landscapes' are structurally very simple, but they generally lack visual cues about resource availability. An emerging view assumes that perceptually constrained organisms searching for food in multiscale environments should respond to patterns of resource abundance over a continuum of scales. We explore fractal geometry as a possible tool for quantifying this view and for describing spatial dispersion patterns that result from foraging behavior. Data on an Alaskan seabird (least auklet [Aethia pusilla]) and its zooplanktonic food resources suggest that fractal approaches can yield new ecological insights into complex spatial patterns deriving from animal movements.
引用
收藏
页码:195 / 209
页数:15
相关论文
共 100 条
  • [1] Abra R.W., Griffiths A.M., Ecological structure of the pelagic seabird community in the Benguela Current region, Mar. Ecol. Prog. Ser., 5, pp. 269-277, (1981)
  • [2] Andersen N.R., Zahuranec B.J., Oceanic Sound Scattering Prediction, (1977)
  • [3] Arditi R., Dacorogna B., Optimal foraging in non-patchy habitats. I. Bounded one-dimensional resource, Math. Biosci., 76, pp. 127-145, (1985)
  • [4] Arditi R., Dacorogna B., Optimal foraging in non-patchy habitats. II. Unbounded one-dimensional habitat, SIAM J. Appl. Math., 47, pp. 800-821, (1987)
  • [5] Arditi R., Dacorogna B., Optimal foraging on arbitrary food distributions and the definition of habitat patches, Am. Nat., 131, pp. 837-846, (1988)
  • [6] Au D.W., Polyspecific nature of tuna schools: shark, dolphin, and seabird associates, Fishery Bull. U.S., 89, pp. 343-354, (1991)
  • [7] Barraclough W.E., LeBrasseur R.J., Kennedy O.D., Shallow scattering layer in the subarctic Pacific Ocean: detection by high-frequency echo sounder, Science, 166, pp. 611-613, (1969)
  • [8] Berry M.V., Lewis Z.V., On the Weierstrass-Mandelbrot fractal function, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 370, pp. 459-484, (1980)
  • [9] Bivand R., A Monte Carlo study of correlation coefficient estimation with spatially autocorrelated observations, Quaestiones Geographicae, 6, pp. 5-10, (1980)
  • [10] Bradbury R.H., Reichelt R.E., Green D.G., Fractals in ecology: methods and interpretation, Marine Ecology Progress Series, 14, pp. 295-296, (1984)