| treepipit | R Documentation | 
Data on the population density of tree pipits, Anthus trivialis, in Franconian oak forests including variables describing the forest ecosystem.
treepipitA data frame with 86 observations on 10 variables.
countsthe number of tree pipits observed.
ageage of the overstorey oaks taken from forest data.
coverstoreycover of canopy overstorey (%). The crown cover is described relative to a fully stocked stand. Very dense overstorey with multiple crown cover could reach values greater than 100%.
coverregencover of regeneration and shrubs (%).
meanregenmean height of regeneration and shrubs.
coniferousconiferous trees (% per hectare).
deadtreenumber of dead trees (per hectare).
cbpilesnumber of crowns and branch piles (per hectare). All laying crowns and branch piles were counted. These were induced by logging and the creation of wind breaks.
ivytreenumber of ivied trees (per hectare).
fdistdistance to the forest edge. The closest distance to the forest edge was measured from the centre of each grid.
This study is based on fieldwork conducted in three lowland oak forests in the Franconian region of northern Bavaria close to Uffenheim, Germany. Diurnal breeding birds were sampled five times, from March to June 2002, using a quantitative grid mapping. Each grid was a one-hectare square. In total, 86 sample sites were established in 9 stands. All individuals were counted in time intervals of 7 min/grid during slow walks along the middle of the grid with a stop in the centre. Environmental factors were measured for each grid.
Müller, J. and Hothorn, T. (2004). Maximally selected two-sample statistics as a new tool for the identification and assessment of habitat factors with an application to breeding bird communities in oak forests. European Journal of Forest Research 123(3), 219–228. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s10342-004-0035-5")}
## Asymptotic maximally selected statistics
maxstat_test(counts ~ age + coverstorey + coverregen + meanregen +
                      coniferous + deadtree + cbpiles + ivytree,
             data = treepipit)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.