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Scale-dependent distribution of soft-bottom infauna and possible structuring forces in low diversity systems

2011; Inter-Research; Volume: 426; Linguagem: Inglês

10.3354/meps09038

1616-1599

Patrik Kraufvelin, Jean Pérus, Erik Bonsdorff,

Geology and Paleoclimatology Research

MEPS 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 426:13-28 (2011) - DOI: https://doi.org/10.3354/meps09038 Scale-dependent distribution of soft-bottom infauna and possible structuring forces in low diversity systems Patrik Kraufvelin1,2,*, Jens Perus2, Erik Bonsdorff2 1ARONIA, Coastal Zone Research Team, Åbo Akademi University and Novia University of Applied Sciences, Raseborgsvägen 9, 10600 Ekenäs, Finland 2Environmental and Marine Biology, Åbo Akademi University, Artillerigatan 1, 20500 Turku/Åbo, Finland *Email: patrik.kraufvelin@abo.fi ABSTRACT: Despite their central roles in ecology, patterns and scales of variation in the distribution of species and their densities are seldom satisfactorily described for most ecosystems. This is mainly due to spatial structures being scale-dependent across broad ranges of scales with partly different processes operating at different scales. In this study, scale-dependent distributional patterns in soft-sediment macrofaunal communities of naturally low species richness were studied on the Åland Islands, northern Baltic Sea, in 3 model areas (I, II and III) representing different environmental regimes with regard to openness (water renewal rate), depth, and organic and nutrient content as well as an increasing intrasite variability. A systematic grid design comprising 64 biotic and 16 abiotic sampling points, hierarchically arranged at 3 (at distances 10, 100 and 1000 m) and 2 spatial scales (100 and 1000 m), respectively, was used in each area. The intrasite distribution of macrofauna was predictably the most uniform in Area I, the least variable environmentally, followed by Area II, which was intermediate with respect to both abiotic and biotic variability, and then Area III, which was always the most variable area. This was true when analysed by both univariate and multivariate statistical means. When examining the contribution of each spatial scale to the total variance, most variability was observed at the smallest sampled level (10 m) for the majority of the studied variables. Despite a high overlap in species composition, the areas differed significantly in animal community structure. This was driven by both (1) the top-dominant species (Macoma, Mytilus, Monoporeia, Oligochaeta, Marenzelleria) and (2) the proportion and distribution of rare species. These systems with low diversity showed clear species distribution patterns driven by local environmental conditions, but also showed a substantial biotic component seen as the proportion and role of rare species and the high spatial variability observed at the smallest scale. Our understanding of spatial variability (or ‘stability’) is thus influenced by both the habitat and the species composition. The results are valuable for the refinement of sampling design, improved interpretation of monitoring programs (including detection of anthropogenic impact) and incorporation of scaling issues into questions of marine biodiversity and conservation. KEY WORDS: Baltic Sea · Zoobenthos · Soft sediment communities · Spatial patterns and processes · Scales · Heterogeneity · Hierarchical sampling · Components of variation · Rare species Full text in pdf format Supplementary material PreviousNextCite this article as: Kraufvelin P, Perus J, Bonsdorff E (2011) Scale-dependent distribution of soft-bottom infauna and possible structuring forces in low diversity systems. Mar Ecol Prog Ser 426:13-28. https://doi.org/10.3354/meps09038 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 426. Online publication date: March 28, 2011 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2011 Inter-Research.