Published June 18, 2021 | Version v1
Dataset Open

Ant taxonomic and functional beta-diversity

  • 1. University of Lisbon
  • 2. Missouri University of Science and Technology
  • 3. University of Florence
  • 4. University of the Azores

Description

The decomposition of beta-diversity (β-diversity) into its replacement (βrepl) and richness (βrich) components in combination with a taxonomic and functional approach, may help to identify processes driving community composition along environmental gradients.

We aimed to understand which abiotic and spatial variables influence ant β-diversity and identify which processes may drive ant β-diversity patterns in Mediterranean drylands by measuring the percentage of variation in ant taxonomic and functional β-diversity explained by local environmental, regional climatic and spatial variables.

We found that taxonomic and functional replacement (βrepl) primarily drove patterns in overall β-diversity (βtot). Variation partitioning analysis showed that respectively 16.8 %, 12.9 % and 21.6 % of taxonomic βtot, βrepl and βrich variation were mainly explained by local environmental variables. Local environmental variables were also the main determinants of functional β-diversity, explaining 20.4 %, 17.9 % and 23.2 % of βtot, βrepl and βrich variation respectively.

Findings suggest that niche-based processes drive changes in ant β-diversity, as local environmental variables may act as environmental filters on species and trait composition. While we found that local environmental variables were important predictors of ant β-diversity, further analysis should address the contribution of other mechanisms, e.g. competitive exclusion and resource partitioning, on ant β-diversity.  

Files

env.txt

Files (30.0 kB)

Name Size Download all
md5:1dfd7dd2f902bbf20c11b4b9f2930e54
3.4 kB Preview Download
md5:de3c5fc6d29f63f8da69f406be7e68a7
3.0 kB Preview Download
md5:b1f2dc704447de7a6b313a634cd8c885
2.5 kB Preview Download
md5:092f6fdad76dec61e46d5d16f91408e3
3.2 kB Preview Download
md5:6ae0520a9ac15d89a6b1d518064d4e83
11.1 kB Download
md5:68cf0486555dabbc3770a76ae0b0e482
1.0 kB Preview Download
md5:c25e12ead4e0de7ed509a432d1304bd9
5.8 kB Preview Download