Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil

Bibliographic Details
Published in:Ecology and Evolution
Main Authors: Arbel, Julyan, King, Catherine, Raymond, Ben, Winsley, Tristrom, Mengersen, Kerrie
Format: Article in Journal/Newspaper
Language:unknown
Published: John Wiley & Sons 2015
Subjects:
Antarctica
Dependent models
Fuel spills
Griffiths-Engen-McCloskey distribution
Shannon diversity index
Soil biodiversity
Species abundance
Antarctic
Antarc*
Online Access:https://eprints.qut.edu.au/100601/
id ftqueensland:oai:eprints.qut.edu.au:100601
record_format openpolar
spelling ftqueensland:oai:eprints.qut.edu.au:100601 2024-01-28T10:00:20+01:00 Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil Arbel, Julyan King, Catherine Raymond, Ben Winsley, Tristrom Mengersen, Kerrie 2015 application/pdf https://eprints.qut.edu.au/100601/ unknown John Wiley & Sons https://eprints.qut.edu.au/100601/1/mengersen.pdf https://doi.org/10.1002/ece3.1493 doi:10.1002/ece3.1493 Arbel, Julyan, King, Catherine, Raymond, Ben, Winsley, Tristrom, & Mengersen, Kerrie (2015) Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil. Ecology and Evolution, 5(13), pp. 2633-2645. https://eprints.qut.edu.au/100601/ Institute for Future Environments; Science & Engineering Faculty; School of Mathematical Sciences free_to_read http://creativecommons.org/licenses/by/2.5/ Consult author(s) regarding copyright matters This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au Ecology and Evolution Antarctica Dependent models Fuel spills Griffiths-Engen-McCloskey distribution Shannon diversity index Soil biodiversity Species abundance Contribution to Journal 2015 ftqueensland https://doi.org/10.1002/ece3.1493 2024-01-01T23:27:09Z Article in Journal/Newspaper Antarc* Antarctic Antarctica Queensland University of Technology: QUT ePrints Antarctic Ecology and Evolution 5 13 2633 2645
institution Open Polar
collection Queensland University of Technology: QUT ePrints
op_collection_id ftqueensland
language unknown
topic Antarctica
Dependent models
Fuel spills
Griffiths-Engen-McCloskey distribution
Shannon diversity index
Soil biodiversity
Species abundance
spellingShingle Antarctica
Dependent models
Fuel spills
Griffiths-Engen-McCloskey distribution
Shannon diversity index
Soil biodiversity
Species abundance
Arbel, Julyan
King, Catherine
Raymond, Ben
Winsley, Tristrom
Mengersen, Kerrie
Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil
topic_facet Antarctica
Dependent models
Fuel spills
Griffiths-Engen-McCloskey distribution
Shannon diversity index
Soil biodiversity
Species abundance
format Article in Journal/Newspaper
author Arbel, Julyan
King, Catherine
Raymond, Ben
Winsley, Tristrom
Mengersen, Kerrie
author_facet Arbel, Julyan
King, Catherine
Raymond, Ben
Winsley, Tristrom
Mengersen, Kerrie
author_sort Arbel, Julyan
title Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil
title_short Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil
title_full Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil
title_fullStr Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil
title_full_unstemmed Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil
title_sort application of a bayesian nonparametric model to derive toxicity estimates based on the response of antarctic microbial communities to fuel-contaminated soil
publisher John Wiley & Sons
publishDate 2015
url https://eprints.qut.edu.au/100601/
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Antarctica
genre_facet Antarc*
Antarctic
Antarctica
op_source Ecology and Evolution
op_relation https://eprints.qut.edu.au/100601/1/mengersen.pdf
https://doi.org/10.1002/ece3.1493
doi:10.1002/ece3.1493
Arbel, Julyan, King, Catherine, Raymond, Ben, Winsley, Tristrom, & Mengersen, Kerrie (2015) Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil. Ecology and Evolution, 5(13), pp. 2633-2645.
https://eprints.qut.edu.au/100601/
Institute for Future Environments; Science & Engineering Faculty; School of Mathematical Sciences
op_rights free_to_read
http://creativecommons.org/licenses/by/2.5/
Consult author(s) regarding copyright matters
This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
op_doi https://doi.org/10.1002/ece3.1493
container_title Ecology and Evolution
container_volume 5
container_issue 13
container_start_page 2633
op_container_end_page 2645
_version_ 1789340585839034368

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