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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
general
The worldwide networks of spread of recorded alien species
Proceedings of the National Academy of Sciences of the United States of America, Volume 120, No. 1, Article e2201911120, Year 2023
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Description
Our ability to predict the spread of alien species is largely based on knowledge of previous invasion dynamics of individual species. However, in view of the large and growing number of alien species, understanding universal spread patterns common among taxa but specific to regions would considerably improve our ability to predict future dynamics of biological invasions. Here, using a comprehensive dataset of years of first record of alien species for four major biological groups (birds, nonmarine fishes, insects, and vascular plants), we applied a network approach to uncover frequent sequential patterns of first recordings of alien species across countries worldwide. Our analysis identified a few countries as consistent early recorders of alien species, with many subsequent records reported from countries in close geographic vicinity. These findings indicate that the spread network of alien species consists of two levels, a backbone of main dispersal hubs, driving intercontinental species movement, and subsequent intracontinental radiative spread in their vicinity. Geographical proximity and climatic similarity were significant predictors of same-species recording among countries. International trade was a significant predictor of the relative timing of species recordings, with countries having higher levels of trade flows consistently recording the species earlier. Targeting the countries that have emerged as hubs for the early spread of alien species may have substantial cascading effects on the global spread network of alien species, significantly reducing biological invasions. Furthermore, using these countries as early-warning system of upcoming invasions may also boost national prevention and invasion preparedness efforts. © 2022 the Author(s).
Authors & Co-Authors
Capinha, César
Portugal, Lisbon
Universidade de Lisboa
Portugal, Lisbon
Associate Laboratory Terra
Essl, Franz
Austria, Vienna
Universität Wien
Seebens, Hanno
Germany, Frankfurt am Main
Senckenberg Biodiversität Und Klima Forschungszentrum
Statistics
Citations: 16
Authors: 3
Affiliations: 6
Identifiers
Doi:
10.1073/pnas.2201911120
ISSN:
00278424
Research Areas
Environmental