MAcroecological Framework for Invasive Aliens (MAFIA): disentangling large-scale context-dependence in biological invasions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F20%3A00533236" target="_blank" >RIV/67985939:_____/20:00533236 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/20:10420717
Result on the web
<a href="http://hdl.handle.net/11104/0314191" target="_blank" >http://hdl.handle.net/11104/0314191</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3897/neobiota.62.52787" target="_blank" >10.3897/neobiota.62.52787</a>
Alternative languages
Result language
angličtina
Original language name
MAcroecological Framework for Invasive Aliens (MAFIA): disentangling large-scale context-dependence in biological invasions
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
<a href="/en/project/GX19-28807X" target="_blank" >GX19-28807X: Macroecology of plant invasions: global synthesis across habitats (SynHab)</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Neobiota
ISSN
1619-0033
e-ISSN
—
Volume of the periodical
62
Issue of the periodical within the volume
Oct 15
Country of publishing house
BG - BULGARIA
Number of pages
55
Pages from-to
407-461
UT code for WoS article
000582928700018
EID of the result in the Scopus database
2-s2.0-85097534843