Document Detail


Predicting the abundance of European stream macroinvertebrates using biological attributes.
MedLine Citation:
PMID:  18270744     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Is there a relationship between the abundance of organisms and particular biological attributes? To assess this old, yet still acutely debated key question of ecology, we have used large databases on 312 stream macroinvertebrate genera (from 27 orders) that describe (1) invertebrate abundance at 527 least human-impacted European stream sites, (2) 11 biological traits (size, life-history, food, among others) described in 61 biological trait categories (BTCs; e.g. small, intermediate or large size) and (3) 14 attributes indicating specialization (AISs; e.g. species richness, size and food diversity). We applied interactive procedures to obtain models (for BTCs, AISs and a mixture of both descriptions) explaining as much as possible of the abundance variability of the genera with the lowest number of significant and ecologically meaningful attributes and assessed the predictive power of these models (in crosswise validations) by comparing predicted and observed abundances. Mean European invertebrate abundance increased with BTC affinities favouring viability in stream systems (e.g. attachment to the stream bottom to resist the flow, aquatic passive dispersal with the flow, exploitation of abundant food sources) and decreased with BTC affinities disfavouring this viability (e.g. drag force increase associated with larger body size, flow exposure associated with aerial respiration). Abundance consistently decreased with specialization of the genera (e.g. low species richness, oddity of their overall BTC profile from an "average" European genus). The model including a mixture of a few BTCs and AISs had the greatest predictive power: it predicted 35% of the observed abundance (ln-transformed) variability of the genera; these predictions were marginally affected by taxonomy (using orders as categorical variables). We conclude that a better appreciation of the influence of the examined taxonomic diversity, number and type of biological attributes, environmental system and spatial scale could enable abundance predictions using different sets of biological attributes for different taxonomic groups and systems.
Authors:
Bernhard Statzner; Núria Bonada; Sylvain Dolédec
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Publication Detail:
Type:  Journal Article     Date:  2008-02-13
Journal Detail:
Title:  Oecologia     Volume:  156     ISSN:  0029-8549     ISO Abbreviation:  Oecologia     Publication Date:  2008 May 
Date Detail:
Created Date:  2008-04-16     Completed Date:  2008-09-23     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0150372     Medline TA:  Oecologia     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  65-73     Citation Subset:  IM    
Affiliation:
CNRS-Ecologie des Hydrosystèmes Fluviaux, Université Lyon 1, 69622 Villeurbanne Cedex, France. statzner@biomserv.univ-lyon1.fr
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MeSH Terms
Descriptor/Qualifier:
Animals
Biodiversity
Body Size
Databases, Factual
Europe
Feeding Behavior
Forecasting
Invertebrates* / anatomy & histology,  physiology
Population Density
Rivers*

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