Drivers of compositional turnover of narrow-ranged versus widespread naturalised woody plants in South Africa

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F23%3A00571571" target="_blank" >RIV/67985939:_____/23:00571571 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3389/fevo.2023.1106197" target="_blank" >https://doi.org/10.3389/fevo.2023.1106197</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fevo.2023.1106197" target="_blank" >10.3389/fevo.2023.1106197</a>

Result language

angličtina

Original language name

Drivers of compositional turnover of narrow-ranged versus widespread naturalised woody plants in South Africa

Original language description

IntroductionAlien trees and shrubs have become increasingly common invaders globally and have caused major negative impacts to ecosystems and society. Non-native woody plant species make up the majority of legislated invasive alien taxa in South Africa and contribute substantially to recorded negative impacts. It is of management interest to elucidate the macroecological processes that mediate the assembly of alien taxa, as this is expected to be associated with anthropogenic factors (e.g., human activity, introduction events, pathways of propagule dispersal mediated by humans) and bioclimatic factors (such as diurnal temperature range and precipitation gradients). These analyses require large species-occurrence datasets with comprehensive sampling across broad environmental conditions. Efforts of citizen scientists produce large numbers of occurrence records in a consistent manner which may be utilised for scientific investigations. MethodsResearch Grade occurrence data on naturalised plants of South Africa were extracted from the citizen scientist platform iNaturalist. Sampling bias was mitigated using statistical modelling of background points estimated from a Target Group of species which identifies well sampled communities. The drivers of assembly for alien plants at different range sizes were identified using multi-site generalised dissimilarity modelling (MS-GDM) of zeta diversity. The predicted compositional similarity between all cells was computed based on the subset of identified well sampled communities and using generalised dissimilarity modelling (GDM). From this, alien bioregions were identified using a k-means cluster analysis. Results and DiscussionBioclimatic factors significantly influenced community turnover in inland areas with large diurnal temperature ranges, and in areas with high precipitation. Communities separated by large geographical distances had significantly different compositions, indicating little contribution of long-range propagule movement by humans, and the presence of localised introduction hubs within the country which harbour unique species compositions. Analyses also showed a significant contribution of road density to turnover, which may be moderated by the habitat service provided by road verges. The same is true for natural dispersal via rivers in arid areas. The distribution of naturalised tree and shrub species is geographically clustered and forms six alien bioregions that are distinct from the South African biomes defined by native species distributionanalysis.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10618 - Ecology

Project

<a href="/en/project/EF18_053%2F0017850" target="_blank" >EF18_053/0017850: Mobility 2020</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

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

Name of the periodical

Frontiers in Ecology and Evolution

ISSN

2296-701X

e-ISSN

2296-701X

Volume of the periodical

11

Issue of the periodical within the volume

February

Country of publishing house

CH - SWITZERLAND

Number of pages

12

Pages from-to

1106197

UT code for WoS article

000945345100001

EID of the result in the Scopus database

2-s2.0-85149646113