HAUBROCK, Phillip J., Danish A. AHMED, Ross N. CUTHBERT, Rachel STUBBINGTON, Sami DOMISCH, Jaime R. G. MARQUEZ, Ayah BEIDAS, Giuseppe AMATULLI, Jens KIESEL, Longzhu Q. SHEN, Ismael SOTO, David G. ANGELER, Nuria BONADA, Miguel CANEDO-ARGUELLES, Zoltán Szabolcs CSABAI, Thibault DATRY, Elvira DE EYTO, Alain DOHET, Emma DROHAN, Judy ENGLAND, Maria J. FEIO, Marie A. E. FORIO, Peter GOETHALS, Wolfram GRAF, Jani HEINO, Emma J. HUDGINS, Sonja C. JAHNIG, Richard K. JOHNSON, Aitor LARRANAGA, Patrick LEITNER, Lionel HOSTE, Marie-Helene LIZEE, Anthony MAIRE, Jes J. RASMUSSEN, Ralf B. SCHAFER, Astrid SCHMIDT-KLOIBER, Rudy VANNEVEL, Gabor VARBIRO, Peter WIBERG-LARSEN a Peter HAASE. Invasion impacts and dynamics of a European-wide introduced species. Global Change Biology. Wiley, 2022, roč. 28, č. 15, s. 4620-4632. ISSN 1354-1013. Dostupné z: https://dx.doi.org/10.1111/gcb.16207.
Další formáty:   BibTeX LaTeX RIS
Základní údaje
Originální název Invasion impacts and dynamics of a European-wide introduced species
Autoři HAUBROCK, Phillip J. (garant), Danish A. AHMED, Ross N. CUTHBERT, Rachel STUBBINGTON, Sami DOMISCH, Jaime R. G. MARQUEZ, Ayah BEIDAS, Giuseppe AMATULLI, Jens KIESEL, Longzhu Q. SHEN, Ismael SOTO, David G. ANGELER, Nuria BONADA, Miguel CANEDO-ARGUELLES, Zoltán Szabolcs CSABAI (348 Maďarsko, domácí), Thibault DATRY, Elvira DE EYTO, Alain DOHET, Emma DROHAN, Judy ENGLAND, Maria J. FEIO, Marie A. E. FORIO, Peter GOETHALS, Wolfram GRAF, Jani HEINO, Emma J. HUDGINS, Sonja C. JAHNIG, Richard K. JOHNSON, Aitor LARRANAGA, Patrick LEITNER, Lionel HOSTE, Marie-Helene LIZEE, Anthony MAIRE, Jes J. RASMUSSEN, Ralf B. SCHAFER, Astrid SCHMIDT-KLOIBER, Rudy VANNEVEL, Gabor VARBIRO, Peter WIBERG-LARSEN a Peter HAASE.
Vydání Global Change Biology, Wiley, 2022, 1354-1013.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 10613 Zoology
Stát vydavatele Spojené státy
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 11.600
Kód RIV RIV/00216224:14310/22:00127795
Organizační jednotka Přírodovědecká fakulta
Doi http://dx.doi.org/10.1111/gcb.16207
UT WoS 000795660400001
Klíčová slova anglicky biological invasion; long-term time series; Potamopyrgus antipodarum; rapid response; early detection; temporal modelling
Štítky rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Marie Šípková, DiS., učo 437722. Změněno: 9. 1. 2023 10:34.
Anotace
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.
VytisknoutZobrazeno: 28. 4. 2024 01:35