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Rdistance (version 4.0.5)

thrasherDf: Sage Thrasher detection data frame in Rdistance >4.0.0 format

Description

Point transect data collected in central Wyoming on 120 points surveyed for Sage Thrashers by the Wyoming Cooperative Fish & Wildlife Research Unit in 2013.

Arguments

Format

A rowwise tibble containing 120 rows and 8 columns, one of which (i.e., 'detections') contains nested data frames of detections. Each row represents one transect of one point.

A data.frame containing 120 rows and 6 columns. Each row represents a surveyed site. Each surveyed site is considered one transect of one point. Column descriptions:

  1. siteID: Factor (120 levels), the site or point surveyed.

  2. detections: An embedded (nested) data frame containing detections made at that point. Columns in the embedded data frame contain:

    1. groupsize: The number of individuals in the detected group.

    2. dist: The radial distance (m) from the transect to the detected group.

  3. observer: Factor (six levels), identity of the observer who surveyed the point.

  4. bare: Number, the mean bare ground cover (%) within 100 m of each point.

  5. herb: Number, the mean herbaceous cover (%) within 100 m of each point.

  6. shrub: Number, the mean shrub cover (%) within 100 m of each point.

  7. height: Number, the mean shrub height (cm) within 100 m of each point.

  8. npoints: The number of point counts on the transect.

References

Carlisle, J.D. 2017. The effect of sage-grouse conservation on wildlife species of concern: implications for the umbrella species concept. Dissertation. University of Wyoming, Laramie, Wyoming, USA.

Carlisle, J. D., A. D. Chalfoun, K. T. Smith, and J. L. Beck. 2018. Nontarget effects on songbirds from habitat manipulation for Greater Sage-Grouse: Implications for the umbrella species concept. The Condor: Ornithological Applications 120:439–455. tools:::Rd_expr_doi("10.1650/CONDOR-17-200.1")

See Also

thrasherSiteData, thrasherDetectionData, RdistDf

Examples

Run this code
data(thrasherDf)

is.RdistDf(thrasherDf)

summary(thrasherDf,
  formula = dist ~ groupsize(groupsize)
)

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