Global thermal niche models of two European grasses show high invasion risks in Antarctica

The two non-native grasses that have established long-term populations in Antarctica (Poa pratensis and Poa annua) were studied from a global multidimensional thermal niche perspective to address the biological invasion risk to Antarctica. These two species exhibit contrasting introduction histories...

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Published in:Global Change Biology
Main Authors: Pertierra, Luis R., Aragon, Pedro, Shaw, Justine D., Bergstrom, Dana M., Terauds, Aleks, Olalla-Tarraga, Miguel Angel
Format: Article in Journal/Newspaper
Language:English
Published: Wiley-Blackwell Publishing 2017
Subjects:
Online Access:https://espace.library.uq.edu.au/view/UQ:458766
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spelling ftunivqespace:oai:espace.library.uq.edu.au:UQ:458766 2023-05-15T13:51:35+02:00 Global thermal niche models of two European grasses show high invasion risks in Antarctica Pertierra, Luis R. Aragon, Pedro Shaw, Justine D. Bergstrom, Dana M. Terauds, Aleks Olalla-Tarraga, Miguel Angel 2017-01-10 https://espace.library.uq.edu.au/view/UQ:458766 eng eng Wiley-Blackwell Publishing doi:10.1111/gcb.13596 issn:1365-2486 issn:1354-1013 orcid:0000-0002-9603-2271 CTM2013-47381-P Not set RYC-2011-07670 Biosecurity protocols Non-native species management Nonanalogous climate Poaceae Species distribution models 2300 Environmental Science 2303 Ecology 2304 Environmental Chemistry 2306 Global and Planetary Change Journal Article 2017 ftunivqespace https://doi.org/10.1111/gcb.13596 2020-12-08T01:12:37Z The two non-native grasses that have established long-term populations in Antarctica (Poa pratensis and Poa annua) were studied from a global multidimensional thermal niche perspective to address the biological invasion risk to Antarctica. These two species exhibit contrasting introduction histories and reproductive strategies and represent two referential case studies of biological invasion processes. We used a multistep process with a range of species distribution modelling techniques (ecological niche factor analysis, multidimensional envelopes, distance/entropy algorithms) together with a suite of thermoclimatic variables, to characterize the potential ranges of these species. Their native bioclimatic thermal envelopes in Eurasia, together with the different naturalized populations across continents, were compared next. The potential niche of P. pratensis was wider at the cold extremes; however, P. annua life history attributes enable it to be a more successful colonizer. We observe that particularly cold summers are a key aspect of the unique Antarctic environment. In consequence, ruderals such as P. annua can quickly expand under such harsh conditions, whereas the more stress-tolerant P. pratensis endures and persist through steady growth. Compiled data on human pressure at the Antarctic Peninsula allowed us to provide site-specific biosecurity risk indicators. We conclude that several areas across the region are vulnerable to invasions from these and other similar species. This can only be visualized in species distribution models (SDMs) when accounting for founder populations that reveal nonanalogous conditions. Results reinforce the need for strict management practices to minimize introductions. Furthermore, our novel set of temperature-based bioclimatic GIS layers for ice-free terrestrial Antarctica provide a mechanism for regional and global species distribution models to be built for other potentially invasive species. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Antarctica The University of Queensland: UQ eSpace Antarctic Antarctic Peninsula The Antarctic Global Change Biology 23 7 2863 2873
institution Open Polar
collection The University of Queensland: UQ eSpace
op_collection_id ftunivqespace
language English
topic Biosecurity protocols
Non-native species management
Nonanalogous climate
Poaceae
Species distribution models
2300 Environmental Science
2303 Ecology
2304 Environmental Chemistry
2306 Global and Planetary Change
spellingShingle Biosecurity protocols
Non-native species management
Nonanalogous climate
Poaceae
Species distribution models
2300 Environmental Science
2303 Ecology
2304 Environmental Chemistry
2306 Global and Planetary Change
Pertierra, Luis R.
Aragon, Pedro
Shaw, Justine D.
Bergstrom, Dana M.
Terauds, Aleks
Olalla-Tarraga, Miguel Angel
Global thermal niche models of two European grasses show high invasion risks in Antarctica
topic_facet Biosecurity protocols
Non-native species management
Nonanalogous climate
Poaceae
Species distribution models
2300 Environmental Science
2303 Ecology
2304 Environmental Chemistry
2306 Global and Planetary Change
description The two non-native grasses that have established long-term populations in Antarctica (Poa pratensis and Poa annua) were studied from a global multidimensional thermal niche perspective to address the biological invasion risk to Antarctica. These two species exhibit contrasting introduction histories and reproductive strategies and represent two referential case studies of biological invasion processes. We used a multistep process with a range of species distribution modelling techniques (ecological niche factor analysis, multidimensional envelopes, distance/entropy algorithms) together with a suite of thermoclimatic variables, to characterize the potential ranges of these species. Their native bioclimatic thermal envelopes in Eurasia, together with the different naturalized populations across continents, were compared next. The potential niche of P. pratensis was wider at the cold extremes; however, P. annua life history attributes enable it to be a more successful colonizer. We observe that particularly cold summers are a key aspect of the unique Antarctic environment. In consequence, ruderals such as P. annua can quickly expand under such harsh conditions, whereas the more stress-tolerant P. pratensis endures and persist through steady growth. Compiled data on human pressure at the Antarctic Peninsula allowed us to provide site-specific biosecurity risk indicators. We conclude that several areas across the region are vulnerable to invasions from these and other similar species. This can only be visualized in species distribution models (SDMs) when accounting for founder populations that reveal nonanalogous conditions. Results reinforce the need for strict management practices to minimize introductions. Furthermore, our novel set of temperature-based bioclimatic GIS layers for ice-free terrestrial Antarctica provide a mechanism for regional and global species distribution models to be built for other potentially invasive species.
format Article in Journal/Newspaper
author Pertierra, Luis R.
Aragon, Pedro
Shaw, Justine D.
Bergstrom, Dana M.
Terauds, Aleks
Olalla-Tarraga, Miguel Angel
author_facet Pertierra, Luis R.
Aragon, Pedro
Shaw, Justine D.
Bergstrom, Dana M.
Terauds, Aleks
Olalla-Tarraga, Miguel Angel
author_sort Pertierra, Luis R.
title Global thermal niche models of two European grasses show high invasion risks in Antarctica
title_short Global thermal niche models of two European grasses show high invasion risks in Antarctica
title_full Global thermal niche models of two European grasses show high invasion risks in Antarctica
title_fullStr Global thermal niche models of two European grasses show high invasion risks in Antarctica
title_full_unstemmed Global thermal niche models of two European grasses show high invasion risks in Antarctica
title_sort global thermal niche models of two european grasses show high invasion risks in antarctica
publisher Wiley-Blackwell Publishing
publishDate 2017
url https://espace.library.uq.edu.au/view/UQ:458766
geographic Antarctic
Antarctic Peninsula
The Antarctic
geographic_facet Antarctic
Antarctic Peninsula
The Antarctic
genre Antarc*
Antarctic
Antarctic Peninsula
Antarctica
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Antarctica
op_relation doi:10.1111/gcb.13596
issn:1365-2486
issn:1354-1013
orcid:0000-0002-9603-2271
CTM2013-47381-P
Not set
RYC-2011-07670
op_doi https://doi.org/10.1111/gcb.13596
container_title Global Change Biology
container_volume 23
container_issue 7
container_start_page 2863
op_container_end_page 2873
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