Scales of spatial variation in Mediterranean subtidal sessile assemblages at different depths
2007; Inter-Research; Volume: 332; Linguagem: Inglês
10.3354/meps332025
ISSN1616-1599
AutoresAntonio Terlizzi, Marti J. Anderson, Simonetta Fraschetti, Lisandro Benedetti‐Cecchi,
Tópico(s)Land Use and Ecosystem Services
ResumoMEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 332:25-39 (2007) - doi:10.3354/meps332025 Scales of spatial variation in Mediterranean subtidal sessile assemblages at different depths Antonio Terlizzi1,*, Marti J. Anderson2, Simonetta Fraschetti1, Lisandro Benedetti-Cecchi3 1Laboratorio Zoologia e Biologia Marina, Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, Università di Lecce, CoNISMa, 73100 Lecce, Italy 2Department of Statistics, University of Auckland, Private Bag 92019, Auckland, New Zealand 3Dipartimento di Scienze dell'Uomo e dell'Ambiente, Università di Pisa, Via A. Volta 6, 56126 Pisa, Italy *Email: antonio.terlizzi@unile.it ABSTRACT: Analyses of spatial patterns of distribution of populations and assemblages along environmental gradients are common in marine ecology. How these patterns vary at different spatial scales has seldom been examined, despite the fact that patterns in nature are intrinsically scale-dependent. This study quantified variability in subtidal assemblages at a hierarchy of spatial scales along a depth gradient, using several univariate and multivariate techniques. Despite variation in the sizes of depth effects in time and space, there were large, significant and generally characterisable differences in the structure of assemblages at different depths. The sizes of multivariate and univariate components of variation at different spatial scales were compared at each of 3 different depths (5, 15 and 25 m), using a bias-corrected bootstrapping approach. The sizes of variance components at different spatial scales varied with depth and choice of transformation. In all cases, the largest component of variation was at the smallest scale (tens of centimeters). A pattern of decreasing residual variance with depth was seen for untransformed data, while a pattern of increasing residual variance with depth was seen for presence/absence data. In contrast, variation among locations (separated by >1 km) and among sites (separated by hundreds of metres) was largest at intermediate depths (~15 m), regardless of the transformation used. The multivariate procedures used here offer several advantages over previously used techniques, providing suitable quantitative methods for analysing, at multiple scales, the patchy and complex nature of rocky subtidal assemblages. KEY WORDS: Depth gradient · Hierarchical analyses · Spatial scales · Variance components · Bootstrap · Subtidal sessile assemblages Full text in pdf format Supplementary appendix PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 332. Online publication date: March 05, 2007 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2007 Inter-Research.
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