Modelling invasibility in endogenously oscillating tree populations: timing of invasion matters

Caplat, Paul, Anand, Madhur and Bauch, Chris (2009) Modelling invasibility in endogenously oscillating tree populations: timing of invasion matters. Biological Invasions, 12 1: 219-231. doi:10.1007/s10530-009-9444-1


Author Caplat, Paul
Anand, Madhur
Bauch, Chris
Title Modelling invasibility in endogenously oscillating tree populations: timing of invasion matters
Journal name Biological Invasions   Check publisher's open access policy
ISSN 1387-3547
Publication date 2009-01-01
Sub-type Article (original research)
DOI 10.1007/s10530-009-9444-1
Volume 12
Issue 1
Start page 219
End page 231
Total pages 12
Place of publication Dordrecht, The Netherlands
Publisher Springer - Netherlands
Language eng
Subject 0699 Other Biological Sciences
Abstract The timing of introduction of a new species into an ecosystem can be critical in determining the invasibility (i.e. the sensitivity to invasion) of a resident population. Here, we use an individual-based model to test how (1) the type of competition (symmetric versus asymmetric) and (2) seed masting influence the success of invasion by producing oscillatory dynamics in resident tree populations. We focus on a case where two species (one resident, one invader introduced at low density) do not differ in terms of competitive abilities. By varying the time of introduction of the invader, we show that oscillations in the resident population favour invasion, by creating "invasibility windows" during which resource is available for the invader due to transiently depressed resident population density. We discuss this result in the context of current knowledge on forest dynamics and invasions, emphasizing the importance of variability in population dynamics. © Springer Science+Business Media B.V. 2009.
Keyword Forest model
Stochasticity
Individual-based model
Exploitation competition
Oscillations
Species coexistence
Invasion criteria
Competition (ecology)
Tree
Resident population
Population dynamics
Forest ecosystem
Q-Index Code C1
Q-Index Status Provisional Code

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Biological Sciences Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 5 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 30 Sep 2010, 01:27:30 EST by Ms May Balasaize on behalf of Faculty of Science