• xmlui.mirage2.page-structure.header.title
    • français
    • English
  • Help
  • Login
  • Language 
    • Français
    • English
View Item 
  •   BIRD Home
  • CEREMADE (UMR CNRS 7534)
  • CEREMADE : Publications
  • View Item
  •   BIRD Home
  • CEREMADE (UMR CNRS 7534)
  • CEREMADE : Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesTypeThis CollectionBy Issue DateAuthorsTitlesType

My Account

LoginRegister

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors
Thumbnail

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 K.; 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, p. 2633-2645. 10.1002/ece3.1493

View/Open
paper_EE.pdf (374.1Kb)
Type
Article accepté pour publication ou publié
External document link
http://dx.doi.org/10.1002/ece3.1493
Date
2015
Journal name
Ecology and Evolution
Volume
5
Number
13
Publisher
Wiley
Pages
2633-2645
Publication identifier
10.1002/ece3.1493
Metadata
Show full item record
Author(s)
Arbel, Julyan cc
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
King, Catherine K.

Raymond, Ben

Winsley, Tristrom

Mengersen, Kerrie
School of Mathematical Sciences [Brisbane]
Abstract (EN)
Ecotoxicology is primarily concerned with predicting the effects of toxic substances on the biological components of the ecosystem. In remote, high latitude environments such as Antarctica, where field work is logistically difficult and expensive, and where access to adequate numbers of soil invertebrates is limited and response times of biota are slow, appropriate modeling tools using microbial community responses can be valuable as an alternative to traditional single-species toxicity tests. In this study, we apply a Bayesian nonparametric model to a soil microbial data set acquired across a hydrocarbon contamination gradient at the site of a fuel spill in Antarctica. We model community change in terms of OTUs (operational taxonomic units) in response to a range of total petroleum hydrocarbon (TPH) concentrations. The Shannon diversity of the microbial community, clustering of OTUs into groups with similar behavior with respect to TPH, and effective concentration values at level x, which represent the TPH concentration that causes x% change in the community, are presented. This model is broadly applicable to other complex data sets with similar data structure and inferential requirements on the response of communities to environmental parameters and stressors.
Subjects / Keywords
Antarctica; dependent models; Fuel spills; Griffiths–Engen–McCloskey distribution; Shannon diversity index; soil biodiversity; species abundance

Related items

Showing items related by title and author.

  • Thumbnail
    Bayesian nonparametric dependent model for partially replicated data: The influence of fuel spills on species diversity 
    Arbel, Julyan; Mengersen, Kerrie; Rousseau, Judith (2016) Article accepté pour publication ou publié
  • Thumbnail
    On diversity under a Bayesian nonparametric dependent model 
    Rousseau, Judith; Mengersen, Kerrie; Arbel, Julyan (2014) Communication / Conférence
  • Thumbnail
    Contributions à la statistique bayésienne non-paramétrique 
    Arbel, Julyan (2013-09-24) Thèse
  • Thumbnail
    Recentered importance sampling with applications to Bayesian model validation 
    Nur, Darfiana; Mengersen, Kerrie; McVinish, Ross (2013) Article accepté pour publication ou publié
  • Thumbnail
    Bayesian Mixtures of Triangular distributions with application to Goodness-of-Fit Testing 
    Rousseau, Judith; Mengersen, Kerrie; McVinish, Ross (2005) Document de travail / Working paper
Dauphine PSL Bibliothèque logo
Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16
Phone: 01 44 05 40 94
Contact
Dauphine PSL logoEQUIS logoCreative Commons logo