Invasion impacts and dynamics of a European‐wide introduced species
[SDE] Environmental Sciences
0106 biological sciences
vaikutukset
Snails
590
biological invasion
temporal modelling
01 natural sciences
RESEARCH ARTICLES
NEW-ZEALAND MUDSNAILS
PLASTICITY
early detection
Eurooppa
rapid response/early detection
SUCCESS
550 Geowissenschaften
long‐term time series
COMMUNITY
Europe
long-term time series
POTAMOPYRGUS-ANTIPODARUM HYDROBIIDAE
[SDE]Environmental Sciences
SPREAD
ZABR
Biologie
leviäminen
vaeltajakotilo
570
[SDE.MCG]Environmental Sciences/Global Changes
RESEARCH ARTICLE
BIOLOGICAL INVASIONS
MOLLUSK
rapid response
Animals
Potamopyrgus antipodarum
vieraslajit
14. Life underwater
Ecosystem
ddc:550
15. Life on land
FRAMEWORK
populaatiodynamiikka
[SDE.BE] Environmental Sciences/Biodiversity and Ecology
[SDE.MCG] Environmental Sciences/Global Changes
13. Climate action
Earth and Environmental Sciences
eläinekologia
ta1181
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
Introduced Species
RESPONSES
New Zealand
DOI:
10.1111/gcb.16207
Publication Date:
2022-05-16T02:10:01Z
AUTHORS (40)
ABSTRACT
AbstractGlobalization has led to the introduction of thousands of alien species worldwide. With growing impacts by invasive species, understanding the invasion process remains critical for predicting adverse effects and informing efficient management. Theoretically, invasion dynamics have been assumed to follow an “invasion curve” (S‐shaped curve of available area invaded over time), but this dynamic has lacked empirical testing using large‐scale data and neglects to consider invader abundances. We propose an “impact curve” describing the impacts generated by invasive species over time based on cumulative abundances. To test this curve's large‐scale applicability, we used the data‐rich New Zealand mud snailPotamopyrgus antipodarum, one of the most damaging freshwater invaders that has invaded almost all of Europe. Using long‐term (1979–2020) abundance and environmental data collected across 306 European sites, we observed thatP. antipodarumabundance generally increased through time, with slower population growth at higher latitudes and with lower runoff depth. Fifty‐nine percent of these populations followed the impact curve, characterized by first occurrence, exponential growth, then long‐term saturation. This behaviour is consistent with boom‐bust dynamics, as saturation occurs due to a rapid decline in abundance over time. Across sites, we estimated that impact peaked approximately two decades after first detection, but the rate of progression along the invasion process was influenced by local abiotic conditions. The S‐shaped impact curve may be common among many invasive species that undergo complex invasion dynamics. This provides a potentially unifying approach to advance understanding of large‐scale invasion dynamics and could inform timely management actions to mitigate impacts on ecosystems and economies.
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CITATIONS (51)
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