The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Patterns of distribution of marine assemblages from rocky shores: evidence of relevant scales of variation
Open accessAbstract
Increasing evidence indicates that spatial and temporal pattern in ecological systems are not independent from the scale of measurement. In this study we used a hierarchical sampling design to examine spatial pattern in assemblages of algae and invertebrates in midshore and lowshore habitats of rocky coasts in the Mediterranean Sea, increasing the range of scales usually covered by this type of study in marine habitats. To put our results in a broader context, we also conducted a review of the literature targeting studies that explicitly investigated spatial patterns with hierarchical designs. We addressed two main questions: 1- how does small-scale variability compare to large-scale patterns of variation? 2- is there any pattern of variability that can be generalized across species and habitats? The review of the literature indicated that hierarchical analyses of spatial pattern have been limited to a narrow range of habitats and taxa and that very few studies have addressed regional scales of variation (1000s of km). The available data, however, did identify a general pattern: variability was larger at small spatial scales (meters) in almost all habitats, whereas variation over larger spatial scales (10s to 100s of km) depended on the specific habitat and taxa examined. In our case study, we obtained measures of spatial variability through the use of two alternative methods: hierarchical nested design and independent estimate of spatial variance between pairs of quadrats. Both approaches provided further support to the patterns displayed by the analysis of the literature. Most response variables exhibited large variation over small spatial scales, while the significance of mid- to large-scale variability differed between midshore and lowshore habitats and among taxa. Though a proper understanding of large-scale patterns will require additional comparisons across wide geographical areas, small-scale variability emerges as a general property of benthic assemblages in marine coastal habitats. We suggest that this pattern is common to a wide range of natural systems where assemblages are influenced by complex sets of physical and biological processes like those operating in the marine environment.
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Statistical principles in experimental design.
Winer, B. J. (1962) · McGraw-Hill Book Company · doi:10.1037/11774-000 · Cited by 26,755
A new method for non-parametric multivariate analysis of variance
Anderson, M. J. (2001) · Austral Ecology · doi:10.1111/j.1442-9993.2001.01070.pp.x · Cited by 13,828
An Ordination of the Upland Forest Communities of Southern Wisconsin
Bray, J. R., & Curtis, J. T. (1957) · Ecological Monographs · doi:10.2307/1942268 · Cited by 11,716
The Problem of Pattern and Scale in Ecology: The Robert H. MacArthur Award Lecture
Levin, S. A. (1992) · Ecology · doi:10.2307/1941447 · Cited by 6,792
Experiments in ecology their logical design and interpretation using analysis of variance
Underwood, A. J. (1997) · Cited by 3,799
Kruskal, J., & Wish, M. (1978) · Sage eBooks · doi:10.4135/9781412985130 · Cited by 3,751
Legendre, P., & Anderson, M. J. (1999) · Ecological Monographs · doi:10.1890/0012-9615(1999)069[0001:dbratm]2.0.co;2 · Cited by 2,695
Permutation tests for univariate or multivariate analysis of variance and regression
Anderson, M. J. (2001) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/cjfas-58-3-626 · Cited by 1,495
Cross‐Scale Morphology, Geometry, and Dynamics of Ecosystems
Holling, C. S. (1992) · Ecological Monographs · doi:10.2307/2937313 · Cited by 1,472
Geostatistical Tools for Modeling and Interpreting Ecological Spatial Dependence
Rossi, R. E., Mulla, D. J., Journel, A. G., & Franz, E. H. (1992) · Ecological Monographs · doi:10.2307/2937096 · Cited by 1,204
Cited by
Brown, C. J., Smith, S. J., Lawton, P., & Anderson, J. T. (2011) · Estuarine, Coastal and Shelf Science · doi:10.1016/j.ecss.2011.02.007 · Cited by 632
Metadata
- Authors
- Fraschetti, S., Terlizzi, A., & Benedetti-Cecchi, L.
- Venue
- Marine Ecology Progress Series
- Publisher
- Inter-Research Science Center
- Published
- 2005
- Volume
- 296
- Pages
- 13-29
- ISSN
- 0171-8630 (ISSN-L)
- 1616-1599
- OpenAlex
- W1985636897
- Cited by
- 289
- References
- 59
- FWCI
- 10.19
- Type
- journal article
- Language
- en
- Open access
- bronze
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