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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216208:11310/20:10420717

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

<a href="/cs/project/GX19-28807X" target="_blank" >GX19-28807X: Makroekologie rostlinných invazí: význam stanovišť a globální syntéza (SynHab)</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Neobiota

ISSN

1619-0033

e-ISSN

—

Svazek periodika

62

Číslo periodika v rámci svazku

Oct 15

Stát vydavatele periodika

BG - Bulharská republika

Počet stran výsledku

55

Strana od-do

407-461

Kód UT WoS článku

000582928700018

EID výsledku v databázi Scopus

2-s2.0-85097534843