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Research article - Peer-reviewed, 2022

Invasion impacts and dynamics of a European-wide introduced species

Haubrock, Phillip J.; Ahmed, Danish A.; Cuthbert, Ross N.; Stubbington, Rachel; Domisch, Sami; Marquez, Jaime R. G.; Beidas, Ayah; Amatulli, Giuseppe; Kiesel, Jens; Shen, Longzhu Q.; Soto, Ismael; Angeler, David G.; Bonada, Nuria; Canedo-Arguelles, Miguel; Csabai, Zoltan; Datry, Thibault; de Eyto, Elvira; Dohet, Alain; Drohan, Emma; England, Judy;
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Abstract

Globalization 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 snail Potamopyrgus 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 that P. antipodarum abundance 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.

Keywords

biological invasion; long-term time series; Potamopyrgus antipodarum; rapid response; early detection; temporal modelling

Published in

Global Change Biology
2022, volume: 28, number: 15, pages: 4620-4632
Publisher: WILEY

Authors' information

Haubrock, Phillip J.
University of South Bohemia Ceske Budejovice
Haubrock, Phillip J.
Senckenberg Gesellschaft fur Naturforschung (SGN)
Ahmed, Danish A.
Gulf University of Science and Technology
Cuthbert, Ross N.
Queens University Belfast
Cuthbert, Ross N.
Helmholtz Association
Stubbington, Rachel
Nottingham Trent University
Domisch, Sami
Leibniz Institut fur Gewasserokologie und Binnenfischerei (IGB)
Marquez, Jaime R. G.
Leibniz Institut fur Gewasserokologie und Binnenfischerei (IGB)
Beidas, Ayah
Gulf University of Science and Technology
Amatulli, Giuseppe
Yale University
Kiesel, Jens
University of Kiel
Kiesel, Jens
Leibniz Institut fur Gewasserokologie und Binnenfischerei (IGB)
Shen, Longzhu Q.
Leibniz Institut fur Gewasserokologie und Binnenfischerei (IGB)
Shen, Longzhu Q.
Carnegie Mellon University
Soto, Ismael
University of South Bohemia Ceske Budejovice
Angeler, David G. (Angeler, David)
University of Nebraska Lincoln
Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment
Bonada, Nuria
University of Barcelona
Canedo-Arguelles, Miguel
University of Barcelona
Csabai, Zoltan
University of Pecs
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Sustainable Development Goals

SDG15 Life on land

UKÄ Subject classification

Ecology

Publication Identifiers

DOI: https://doi.org/10.1111/gcb.16207

URI (permanent link to this page)

https://res.slu.se/id/publ/117253