Community assembly of rotifers based on morphological traits
Trait patterns can give insights into how communities assemble under a functional perspective. We constructed a rotifer trait matrix related to food acquisition and predator defence and calculated Rao’s quadratic entropy ( Q ) as an index of functional diversity to investigate trait patterns in diff...
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Published in | Hydrobiologia Vol. 753; no. 1; pp. 31 - 45 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
01.07.2015
Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 0018-8158 1573-5117 |
DOI | 10.1007/s10750-015-2191-7 |
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Summary: | Trait patterns can give insights into how communities assemble under a functional perspective. We constructed a rotifer trait matrix related to food acquisition and predator defence and calculated Rao’s quadratic entropy (
Q
) as an index of functional diversity to investigate trait patterns in different layers (0–2, 5–35, 0–35 m) for a 5-year dataset of Lake Tovel, Italy. Trait patterns were determined by comparing
Q
observed
to
Q
from random communities. While trait patterns can be determined by species traits, richness, and abundance, in most samples, irrespective of layer, trait patterns could be solely attributed to traits indicating their importance for community assembly. Trait convergence dominated in the upper layer, while trait divergence dominated in the lower layer. Using logistic regression, we related trait patterns to environmental parameters. In the lower layer, trait divergence was linked to competition for food while trait convergence was linked to copepod predation. However, in the upper layer neither competitors nor predators influenced trait patterns, and we suggest that ultraviolet radiation and temperature were the main drivers of trait convergence. Our study indicated that environmental filtering drove rotifer trait patterns in the upper layer, whereas species interactions drove trait patterns in the lower layer. |
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Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0018-8158 1573-5117 |
DOI: | 10.1007/s10750-015-2191-7 |