TY - JOUR

T1 - Invasion impacts and dynamics of a European-wide introduced species

AU - Haubrock, Phillip J.

AU - Ahmed, Danish A.

AU - Cuthbert, Ross N.

AU - Stubbington, Rachel

AU - Domisch, Sami

AU - Marquez, Jaime R.G.

AU - Beidas, Ayah

AU - Amatulli, Giuseppe

AU - Kiesel, Jens

AU - Shen, Longzhu Q.

AU - Soto, Ismael

AU - Angeler, David G.

AU - Bonada, Núria

AU - Cañedo-Argüelles, Miguel

AU - Csabai, Zoltán

AU - Datry, Thibault

AU - de Eyto, Elvira

AU - Dohet, Alain

AU - Drohan, Emma

AU - England, Judy

AU - Feio, Maria J.

AU - Forio, Marie A.E.

AU - Goethals, Peter

AU - Graf, Wolfram

AU - Heino, Jani

AU - Hudgins, Emma J.

AU - Jähnig, Sonja C.

AU - Johnson, Richard K.

AU - Larrañaga, Aitor

AU - Leitner, Patrick

AU - L'Hoste, Lionel

AU - Lizee, Marie Helene

AU - Maire, Anthony

AU - Rasmussen, Jes J.

AU - Schäfer, Ralf B.

AU - Schmidt-Kloiber, Astrid

AU - Vannevel, Rudy

AU - Várbíró, Gábor

AU - Wiberg-Larsen, Peter

AU - Haase, Peter

N1 - Publisher Copyright: © 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.

PY - 2022/8

Y1 - 2022/8

N2 - 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.

AB - 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.

KW - biological invasion

KW - long-term time series

KW - Potamopyrgus antipodarum

KW - rapid response/early detection

KW - temporal modelling

UR - http://www.scopus.com/inward/record.url?scp=85132607815&partnerID=8YFLogxK

U2 - 10.1111/gcb.16207

DO - 10.1111/gcb.16207

M3 - Journal article

C2 - 35570183

AN - SCOPUS:85132607815

VL - 28

SP - 4620

EP - 4632

JO - Global Change Biology

JF - Global Change Biology

SN - 1354-1013

IS - 15

ER -