title: Commonly rare and rarely common: comparing population abundance of invasive and native aquatic species.
abstract: Invasive species are leading drivers of environmental change. Their impacts are often linked to their population size, but surprisingly little is known about how frequently they achieve high abundances. A nearly universal pattern in ecology is that species are rare in most locations and abundant in a few, generating right-skewed abundance distributions. Here, we use abundance data from over 24,000 populations of 17 invasive and 104 native aquatic species to test whether invasive species differ from native counterparts in statistical patterns of abundance across multiple sites. Invasive species on average reached significantly higher densities than native species and exhibited significantly higher variance. However, invasive and native species did not differ in terms of coefficient of variation, skewness, or kurtosis. Abundance distributions of all species were highly right skewed (skewness>0), meaning both invasive and native species occurred at low densities in most locations where they were present. The average abundance of invasive and native species was 6% and 2%, respectively, of the maximum abundance observed within a taxonomic group. The biological significance of the differences between invasive and native species depends on species-specific relationships between abundance and impact. Recognition of cross-site heterogeneity in population densities brings a new dimension to invasive species management, and may help to refine optimal prevention, containment, control, and eradication strategies.
authors.affiliation: Center for Limnology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
authors.forename: Gretchen J A
authors.initials: GJ
authors.lastname: Hansen
authors.forename: M Jake
authors.initials: MJ
authors.lastname: Vander Zanden
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Blum
authors.forename: Murray K
authors.initials: MK
authors.lastname: Clayton
authors.forename: Ernie F
authors.initials: EF
authors.lastname: Hain
authors.forename: Jennifer
authors.initials: J
authors.lastname: Hauxwell
authors.forename: Marit
authors.initials: M
authors.lastname: Izzo
authors.forename: Matthew S
authors.initials: MS
authors.lastname: Kornis
authors.forename: Peter B
authors.initials: PB
authors.lastname: McIntyre
authors.forename: Alison
authors.initials: A
authors.lastname: Mikulyuk
authors.forename: Erika
authors.initials: E
authors.lastname: Nilsson
authors.forename: Julian D
authors.initials: JD
authors.lastname: Olden
authors.forename: Monica
authors.initials: M
authors.lastname: Papeş
authors.forename: Sapna
authors.initials: S
authors.lastname: Sharma
mesh_terms: D000818:Animals; D059001:Aquatic Organisms / Q000502:physiology*; D017753:Ecosystem; D005399:Fishes; D058865:Introduced Species / Q000706:statistics & numerical data*; D007448:Invertebrates; D016013:Likelihood Functions; D008390:Markov Chains; D009010:Monte Carlo Method; D010944:Plants; D011156:Population Density; D013045:Species Specificity