A niche-based approach for evaluating the mechanisms of community
stability in butterflies
- Luke Evans,
- Yolanda Melero,
- Reto Schmucki,
- Philipp Boersch-Supan,
- Lluis Brotons,
- Colin Fontaine,
- Frederic Jiguet,
- Mikko Kuussaari,
- Dario Massimino,
- Robert Robinson,
- David Roy,
- Oliver Schweiger,
- Josef Settele,
- Constanti Stefanescu,
- Chris van Turnhout,
- Tom Oliver
Luke Evans
University of Reading
Corresponding Author:lukechristopher.evans@reading.ac.uk
Author ProfileLluis Brotons
Centre de Recerca Ecològica i Aplicacions Forestals (CREAF)
Author ProfileFrederic Jiguet
Centre d'Ecologie et de Sciences de la Conservation
Author ProfileOliver Schweiger
Helmholtz Centre for Environmental Research - UFZ
Author ProfileJosef Settele
UFZ - Helmholtz Centre for Environmental Research
Author ProfileConstanti Stefanescu
Universitat Autonoma de Barcelona Centre de Recerca Ecologica i Aplicacions Forestals
Author ProfileChris van Turnhout
SOVON Dutch Centre for Field Ornithology
Author ProfileAbstract
Species niches may impact population and community stability by
influencing average population sizes and species richness, however,
niche-based approaches are rarely applied when studying stability in
natural communities. Here we utilise a niche-based approach to link
niche characteristics to community stability in 140 European butterfly
communities. We represent niches as hyper-volumes and generate metrics
for niche overlap, mismatch, and volume. Using structural equation
modelling we then test five hypotheses linking niche and community
characteristics to mechanisms influencing community stability. We find
that the position of a site relative to the niches of the species pool
predicts species richness, and that sites with species near the centre
of their niche have higher mean abundance. We then show that niche
position and size influence population stability, and species richness
increases asynchrony which subsequently influences community stability.
Our approach demonstrates that niches metrics are useful tools for
understanding the dynamics of natural communities.