Species distribution modelling in low‐interaction environments: Insights from a terrestrial Antarctic system

Abstract It is widely acknowledged that in the terrestrial Antarctic, interspecific interactions are typically unimportant in determining species distributions and community structure. Therefore, correlative models should prove useful for predicting current and future spatial variation in species ab...

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Published in:Austral Ecology
Main Authors: LEE, JENNIFER E., LE ROUX, PETER C., MEIKLEJOHN, K. IAN, CHOWN, STEVEN L.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2012
Subjects:
Online Access:http://dx.doi.org/10.1111/j.1442-9993.2012.02401.x
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1442-9993.2012.02401.x
https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1442-9993.2012.02401.x
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spelling crwiley:10.1111/j.1442-9993.2012.02401.x 2024-09-09T19:10:20+00:00 Species distribution modelling in low‐interaction environments: Insights from a terrestrial Antarctic system LEE, JENNIFER E. LE ROUX, PETER C. MEIKLEJOHN, K. IAN CHOWN, STEVEN L. 2012 http://dx.doi.org/10.1111/j.1442-9993.2012.02401.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1442-9993.2012.02401.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1442-9993.2012.02401.x en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Austral Ecology volume 38, issue 3, page 279-288 ISSN 1442-9985 1442-9993 journal-article 2012 crwiley https://doi.org/10.1111/j.1442-9993.2012.02401.x 2024-07-23T04:13:16Z Abstract It is widely acknowledged that in the terrestrial Antarctic, interspecific interactions are typically unimportant in determining species distributions and community structure. Therefore, correlative models should prove useful for predicting current and future spatial variation in species abundance patterns. However, this idea has not been formally tested, and the utility of such models, which have shown value for understanding the distribution of diversity elsewhere, for investigating biodiversity patterns in Antarctica remains unclear. Here we make a start at such tests by using generalized linear and simultaneous autoregressive models to demonstrate that simple environmental variables and information about the spatial structure of the environment can explain more than 90% of the variation in the abundance of Maudheimia wilsoni (Oribatida; Maudheimiidae), a representative of one of the most significant groups of Antarctic terrestrial arthropods, the mites. We show that a single environmental variable, maximum soil moisture content, can account for as much as 80% of the variance in the abundance of the mite, and that linear models with only a few environmental and spatial terms can be used to forecast the species abundance at the landscape scale. Given ongoing calls for better understanding of the distribution of Antarctic diversity and its likely future change, this initial test indicates that such modelling procedures, and more sophisticated versions thereof, hold much promise for the region and should be tested for other taxa with different life forms and habitat requirements. Article in Journal/Newspaper Antarc* Antarctic Antarctica Mite Wiley Online Library Antarctic Austral Ecology 38 3 279 288
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract It is widely acknowledged that in the terrestrial Antarctic, interspecific interactions are typically unimportant in determining species distributions and community structure. Therefore, correlative models should prove useful for predicting current and future spatial variation in species abundance patterns. However, this idea has not been formally tested, and the utility of such models, which have shown value for understanding the distribution of diversity elsewhere, for investigating biodiversity patterns in Antarctica remains unclear. Here we make a start at such tests by using generalized linear and simultaneous autoregressive models to demonstrate that simple environmental variables and information about the spatial structure of the environment can explain more than 90% of the variation in the abundance of Maudheimia wilsoni (Oribatida; Maudheimiidae), a representative of one of the most significant groups of Antarctic terrestrial arthropods, the mites. We show that a single environmental variable, maximum soil moisture content, can account for as much as 80% of the variance in the abundance of the mite, and that linear models with only a few environmental and spatial terms can be used to forecast the species abundance at the landscape scale. Given ongoing calls for better understanding of the distribution of Antarctic diversity and its likely future change, this initial test indicates that such modelling procedures, and more sophisticated versions thereof, hold much promise for the region and should be tested for other taxa with different life forms and habitat requirements.
format Article in Journal/Newspaper
author LEE, JENNIFER E.
LE ROUX, PETER C.
MEIKLEJOHN, K. IAN
CHOWN, STEVEN L.
spellingShingle LEE, JENNIFER E.
LE ROUX, PETER C.
MEIKLEJOHN, K. IAN
CHOWN, STEVEN L.
Species distribution modelling in low‐interaction environments: Insights from a terrestrial Antarctic system
author_facet LEE, JENNIFER E.
LE ROUX, PETER C.
MEIKLEJOHN, K. IAN
CHOWN, STEVEN L.
author_sort LEE, JENNIFER E.
title Species distribution modelling in low‐interaction environments: Insights from a terrestrial Antarctic system
title_short Species distribution modelling in low‐interaction environments: Insights from a terrestrial Antarctic system
title_full Species distribution modelling in low‐interaction environments: Insights from a terrestrial Antarctic system
title_fullStr Species distribution modelling in low‐interaction environments: Insights from a terrestrial Antarctic system
title_full_unstemmed Species distribution modelling in low‐interaction environments: Insights from a terrestrial Antarctic system
title_sort species distribution modelling in low‐interaction environments: insights from a terrestrial antarctic system
publisher Wiley
publishDate 2012
url http://dx.doi.org/10.1111/j.1442-9993.2012.02401.x
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1442-9993.2012.02401.x
https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1442-9993.2012.02401.x
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Antarctica
Mite
genre_facet Antarc*
Antarctic
Antarctica
Mite
op_source Austral Ecology
volume 38, issue 3, page 279-288
ISSN 1442-9985 1442-9993
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1111/j.1442-9993.2012.02401.x
container_title Austral Ecology
container_volume 38
container_issue 3
container_start_page 279
op_container_end_page 288
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