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Simulated eDNA Occurrence data and Stan summaries of data

Dates

Publication Date
Time Period
2017-12-19

Citation

Richard A Erickson, 2019, Simulated eDNA Occurrence data and Stan summaries of data: U.S. Geological Survey data release, https://doi.org/10.5066/P9WRFUDQ.

Summary

Resource managers conduct landscape-level monitoring using environmental DNA (eDNA). These managers must contend with imperfect detection in samples and sub-samples (i.e., molecular analyses). This imperfect detection impacts their ability to both detect species and estimate occurrence. Although occurrence (synonymously occupancy) models can estimate these probabilities, most models and guidance for their application do not consider three levels. This simulated dataset assumes sites are occupied (probably psi =1, Z = 1 ) and simulates sample (probability theta, A = 0,1) and subsample (probability p, Y = 0, 1) occurrence probabilies and detections (1)/non-detections (0).

Child Items (1)

Contacts

Point of Contact :
Richard A Erickson
Originator :
Richard A Erickson
Metadata Contact :
Richard A Erickson
Distributor :
GS ScienceBase

Attached Files

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dataOut.tar 384.03 MB
simulatedDataSets.tar 582.75 MB
simulated_eDNA.xml
Original FGDC Metadata

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15.25 KB

Purpose

These data were simulated to evaluate the ability of a statistical model to recover known parameter values.

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Communities

  • Upper Midwest Environmental Sciences Center (UMESC)

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