2017
DOI: 10.1111/gcb.13671
|View full text |Cite
|
Sign up to set email alerts
|

From endogenous to exogenous pattern formation: Invasive plant species changes the spatial distribution of a native ant

Abstract: Invasive species are a significant threat to global biodiversity, but our understanding of how invasive species impact native communities across space and time remains limited. Based on observations in an old field in Southeast Michigan spanning 35 years, our study documents significant impacts of habitat change, likely driven by the invasion of the shrub, Elaeagnus umbellata, on the nest distribution patterns and population demographics of a native ant species, Formica obscuripes. Landcover change in aerial p… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2019
2019

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 64 publications
(79 reference statements)
0
1
0
Order By: Relevance
“…Application of spatial point pattern analyses to ecological data has increased over the previous ~20 years and been frequently used to quantify spatial aggregation patterns (e.g., compete spatial randomness) in univariate data (Velázquez, Martínez, Getzin, Moloney, & Wiegand, 2016). Point pattern analyses may also be used to quantify the influence of spatial heterogeneity (e.g., habitat features) on point patterns (Dodd, McCarthy, Ainsworth, & Burgman, 2016;Li et al, 2017) and conduct marked point pattern analyses, which enable the inclusion of trait information (Velázquez et al, 2016). To that end, we analysed changes in first discovery points by time period of introduction, origin, and guild.…”
Section: Introductionmentioning
confidence: 99%
“…Application of spatial point pattern analyses to ecological data has increased over the previous ~20 years and been frequently used to quantify spatial aggregation patterns (e.g., compete spatial randomness) in univariate data (Velázquez, Martínez, Getzin, Moloney, & Wiegand, 2016). Point pattern analyses may also be used to quantify the influence of spatial heterogeneity (e.g., habitat features) on point patterns (Dodd, McCarthy, Ainsworth, & Burgman, 2016;Li et al, 2017) and conduct marked point pattern analyses, which enable the inclusion of trait information (Velázquez et al, 2016). To that end, we analysed changes in first discovery points by time period of introduction, origin, and guild.…”
Section: Introductionmentioning
confidence: 99%