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Code simulates and analyzes data for species that range in occupancy and detection probability

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Occupancy-simulations

Author(s). Year of publication. Title of your article. Journal.

DiRenzo, G. V., Che-Castaldo, C., Rugenski, A., Brenes, R., Whiles, M. R., Pringle, C. M., Kilham, S. S, and Lips, K. R. 2016. Disassembly of a tadpole community by a multi-host fungal pathogen with limited evidence of recovery. Ecological Applications.


Data S1

Descriptive title of the data and/or code. Optimizing species detection and sampling schemes


Authors File list (downloads) Description


Author(s)

Corresponding author's name: Graziella V. DiRenzo

Affiliation: University of Maryland

Address Line Department of Biology, College Park, MD 20744, USA.

Email: [email protected]

Co-author's name: Christian Che-Castaldo

Affiliation: University of Maryland

Address Line 1: Department of Biology, College Park, MD 20744, USA.

Co-author's name: Amanda Rugenski

Affiliation: Arizona State University

Address Line 1: School of Life Sciences, Tempe, AZ, 85281, USA.

Co-author's name: Roberto Brenes

Affiliation: University of Tennessee

Address Line 1: Department of Forestry, Wildlife and Fisheries, Knoxville, TN, 37996, USA.

Co-author's name: Matt R. Whiles

Affiliation: Southern Illinois University

Address Line 1: Department of Zoology and Center for Ecology, Carbondale, IL, 62901

Co-author's name: Catherine M. Pringle

Affiliation: University of Georgia

Address Line 1: Odum School of Ecology, Athens, GA, 30602, USA.

Co-author's name: Susan S. Kilham

Affiliation: Drexel University

Address Line 1: Department of Biodiversity, Earth and Environmental Science, Philadelphia, PA, 19104, USA.

Co-author's name: Karen R. Lips

Affiliation: University of Maryland

Address Line 1: Department of Biology, College Park, MD 20744, USA.


File list

DataS1.R


Description

DataS1.R – Code used to simulate and analyze data to determine the optimal number of surveys and sites when surveying species rich communities.

First part- creates function to simulate the data.

Second part- defines model in BUGS language

Third part- define parameters to monitor and the values to run the functions

Fourth part- create empty matrices to store recovered parameters

Fifth part- loop used to run the set of parameters and store recovered parameters

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Code simulates and analyzes data for species that range in occupancy and detection probability

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