Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/100180
Title: Invasion impacts and dynamics of a European-wide introduced species
Authors: 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, Núria
Cañedo-Argüelles, Miguel
Csabai, Zoltán
Datry, Thibault
Eyto, Elvira de
Dohet, Alain
Drohan, Emma
England, Judy
Feio, Maria J. 
Forio, Marie A. E.
Goethals, Peter
Graf, Wolfram
Heino, Jani
Hudgins, Emma J.
Jähnig, Sonja C.
Johnson, Richard K.
Larrañaga, Aitor
Leitner, Patrick
L'Hoste, Lionel
Lizee, Marie-Helene
Maire, Anthony
Rasmussen, Jes J.
Schäfer, Ralf B.
Schmidt-Kloiber, Astrid
Vannevel, Rudy
Várbíró, Gábor
Wiberg-Larsen, Peter
Haase, Peter
Keywords: Potamopyrgus antipodarum; biological invasion; long-term time series; rapid response/early detection; temporal modelling
Issue Date: 15-May-2022
Publisher: John Wiley & Sons Ltd.
Project: info:eu-repo/grantAgreement/EC/H2020/871128/EU/European long-term ecosystem, critical zone and socio-ecological systems research infrastructure PLUS 
Bundesministerium für Bildung und Forschung. Grant Number: 033W034A 
Kuwait Foundation for the Advancement of Sciences. Grant Number: PR1914SM-01 
Leibniz Competition. Grant Number: J45/2018 
Leverhulme Trust. Grant Number: ECF-2021-001 
Alexander von Humboldt Foundation 
Gulf University for Science and Technology (GUST). Grant Numbers: 234597, 253536 
Serial title, monograph or event: Global Change Biology
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.
URI: https://hdl.handle.net/10316/100180
ISSN: 1354-1013
1365-2486
DOI: 10.1111/gcb.16207
Rights: openAccess
Appears in Collections:I&D MARE - Artigos em Revistas Internacionais

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