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An R model to calculate the environmental optima for a species response curve
Entry ID: AAS_4046_Temperature_Optima_Model


Summary
Abstract: This record contains the R code for an R2OpenBugs Bayesian model that fits penalised splines to a species response curve and then estimates the means and 95% credible intervals for the optimum, peak, upper and lower limits, and niche breadth. Two response curves can then be compared and the probability that one curve has an optima greater than the other can then be calculated. Six files are included: Two R2OpenBugs models (one logit transformed to deal with presence-absence data, and one untransformed), the R code for running the models on example data, and 3 files containing the relevant example data (Antarctic mosses). More information can be found in Ashcroft et al. (2016) Ecological Informatics 34: 35?43, which should be cited in any publications using this model.
Related URL
Description: Citation reference for this metadata record and dataset.
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Geographic Coverage
Spatial coordinates   
  N: -60.0   S: -70.0   E: 180.0   W: -180.0

Data Set Citation
Dataset Originator/Creator: Ashcroft, M.
Dataset Title: An R model to calculate the environmental optima for a species response curve
Dataset Series Name: CAASM Metadata
Dataset Release Date: 2017-11-16
Dataset Publisher: Australian Antarctic Data Centre
Online Resource: https://data.aad.gov.au/aadc/metadata/metadata_redirect.cfm?md=/AMD...
Temporal Coverage
Start Date: 2012-07-01
Stop Date: 2017-06-30
Quality The dates provided in temporal coverage are those of the start and end dates of the project.

For more information see the readme file in the download, or the referenced paper.
Access Constraints The model is available to be used as is or modified to suit other datasets. Please cite Ashcroft et al. (2016) Ecological Informatics 34: 35?43 in any resulting publications.
Use Constraints This data set conforms to the PICCCBY Attribution License (http://creativecommons.org/licenses/by/3.0/).

Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4046... when using these data.
Ancillary Keywords
Data Set Progress
COMPLETE
Data Center
Australian Antarctic Data Centre, Australia Supplemental Info
Data Center URL: http://data.aad.gov.au

Data Center Personnel
Name: DATA OFFICER AADC
Phone: +61 3 6232 3244
Fax: +61 3 6232 3351
Email: metadata at aad.gov.au
Contact Address:
Australian Antarctic Division
203 Channel Highway
City: Kingston
Province or State: Tasmania
Postal Code: 7050
Country: Australia
Distribution
Distribution Media: HTTP
Distribution Size: 120 kb
Distribution Format: csv, Word
Fees: Free
Personnel
Role: INVESTIGATOR
Role: TECHNICAL CONTACT
Role: DIF AUTHOR
Phone: (02) 4221 3454
Email: Ashcroft at uow.edu.au
Contact Address:
University of Wollongong
Northfields Ave
City: Wollongong
Province or State: NSW
Postal Code: 2522
Country: Australia
Publications/References
Ashcroft MB, Casanova-Katny A, Mengersen K, Rosenstiel TN, Turnbull JD, Wasley J, Waterman MJ, Zuniga GE, Robinson SA (2016), ayesian methods for comparing species physiological and ecological response curves., Ecological Informatics, 34, 35-43
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2017-11-16
Last DIF Revision Date: 2018-07-10


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