Spatial autocorrelation in marine birds
Open Access
- 1 June 1990
- journal article
- Published by Norwegian Polar Institute in Polar Research
- Vol. 8 (1) , 89-97
- https://doi.org/10.1111/j.1751-8369.1990.tb00379.x
Abstract
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.Keywords
This publication has 15 references indexed in Scilit:
- Mass and energy transfer to seabirds in the southeastern Bering SeaContinental Shelf Research, 1986
- Scale-dependent correlation of seabirds with schooling fish in a coastal ecosystemMarine Ecology Progress Series, 1986
- Feeding ecology of migrating Red-necked Phalaropes (Phalaropus lobatus) in the Quoddy region, New Brunswick, CanadaCanadian Journal of Zoology, 1985
- Scale-dependent variability in seabird abundanceMarine Ecology Progress Series, 1985
- Pseudoreplication and the Design of Ecological Field ExperimentsEcological Monographs, 1984
- Confidence Estimation of Ecological Aggregation Indices Based on Counts-a Robust ProcedurePublished by JSTOR ,1983
- Feeding Ecology of Nonbreeding Populations of Larids off Deer Island, New BrunswickThe Auk, 1982
- Fronts and Seabird Aggregations in the Southeastern Bering SeaMarine Ecology Progress Series, 1982
- Spectral Analysis in EcologyAnnual Review of Ecology and Systematics, 1975
- The Use of Cover and Frequency in the Detection of Pattern in Plant CommunitiesEcology, 1957