MAcroecological Framework for Invasive Aliens (MAFIA): disentangling large-scale context-dependence in biological invasions

0533236 - BÚ 2021 RIV BG eng J - Článek v odborném periodiku
Pyšek, Petr - Bacher, S. - Kühn, I. - Novoa, Ana - Catford, J. A. - Hulme, P. E. - Pergl, Jan - Richardson, D. M. - Wilson, J. R. U. - Blackburn, T. M.
MAcroecological Framework for Invasive Aliens (MAFIA): disentangling large-scale context-dependence in biological invasions.
Neobiota. Roč. 62, Oct 15 (2020), s. 407-461. ISSN 1619-0033. E-ISSN 1314-2488
Grant CEP: GA ČR(CZ) GX19-28807X
Institucionální podpora: RVO:67985939
Klíčová slova: macroecology * invasion * contex-dependence
Obor OECD: Ecology
Impakt faktor: 3.684, rok: 2020
Způsob publikování: Open access

Macroecological studies aiming to explain and predict plant and animal naturalisations and invasions, and the resulting impacts, have, to date, rarely considered the joint effects of species traits, environment, and socioeconomic characteristics. To address this, we present the MAcroecological Framework for Invasive Aliens (MAFIA). The MAFIA explains the invasion phenomenon using three interacting classes of factors – alien species traits, location characteristics, and factors related to introduction events – and explicitly maps these interactions onto the invasion sequence from transport to naturalisation to invasion. The framework therefore helps both to identify how anthropogenic effects interact with species traits and environmental characteristics to determine observed patterns in alien distribution, abundance, and richness, and to clarify why neglecting anthropogenic effects can generate spurious conclusions. The MAFIA is based largely on insights from studies of plants and birds, but we believe it can be applied to all taxa, and hope that it will stimulate comparative research on other groups and environments. By making the biases in macroecological analyses of biological invasions explicit, the MAFIA offers an opportunity to guide assessments of the context dependence of invasions at broad geographical scales.
Trvalý link: http://hdl.handle.net/11104/0314191