thrasherDf | R Documentation |
Point transect data collected in central Wyoming on 120 points surveyed for Sage Thrashers by the Wyoming Cooperative Fish & Wildlife Research Unit in 2013.
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:
siteID
: Factor (120 levels), the site or point surveyed.
detections
: An embedded (nested) data frame containing
detections made at that point. Columns in the embedded data frame contain:
groupsize
: The number of individuals in
the detected group.
dist
: The radial distance (m) from
the transect to the detected group.
observer
: Factor (six levels), identity of the observer who surveyed
the point.
bare
: Number, the mean bare ground cover (%)
within 100 m of each point.
herb
: Number, the mean herbaceous
cover (%) within 100 m of each point.
shrub
: Number, the mean
shrub cover (%) within 100 m of each point.
height
: Number,
the mean shrub height (cm) within 100 m of each point.
npoints
: The number of point counts on the transect.
The sage thrasher data are a subset of data collected by Jason Carlisle and various field technicians for his Ph.D. from the Department of Ecology, University of Wyoming, in 2017. This portion of Jason's work was funded by the Wyoming Game and Fish Department through agreements with the University of Wyoming's Cooperative Fish & Wildlife Research Unit (2012).
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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1650/CONDOR-17-200.1")}
thrasherSiteData
, thrasherDetectionData
,
RdistDf
data(thrasherDf)
is.RdistDf(thrasherDf)
summary(thrasherDf,
formula = dist ~ groupsize(groupsize)
)
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