Vegetation complexity and bats in green spaces

Bat data were collected with acoustic devices in green spaces in Vienna. Bat calls were processed using bcAdmin, batIdent, and bcAnalyze. Vegetation structure was measured using field-based methods and a digital camera for calgulating mean information gain index (MIG). Variables description: point.I...

Full description

Bibliographic Details
Main Authors: Suarez-Rubio, Marcela, Ille, Christina, Bruckner, Alexander
Format: Dataset
Language:unknown
Published: 2018
Subjects:
Acoustic monitoring
Habitat heterogeneity
Mean Information Gain
Vegetation complexity
Vegetation clutter
Nyctalus noctula
Online Access:http://hdl.handle.net/10255/dryad.169652
https://doi.org/10.5061/dryad.5g52t/1
Description
Summary:Bat data were collected with acoustic devices in green spaces in Vienna. Bat calls were processed using bcAdmin, batIdent, and bcAnalyze. Vegetation structure was measured using field-based methods and a digital camera for calgulating mean information gain index (MIG). Variables description: point.ID (ID of sampling point), type (type of green space), size (size of green space [ha]), 0.5-1m, 2-3m, 5-7m, 15m (vertical layering of vegetation at these heights), GC (percentage of vegetation cover on the ground), VH (vertical heterogeneity), No.trees (number of large trees), DBH (diameter at breast height of large trees [cm]), MIG (mean information gain), MIGside (MIG side views), MIGtop (MIG top view), activity (bat activity [ms]), No.species (number of bat species), edge (activity of edge space foragers), open (activity of open space foragers), Nnoc (activity of Nyctalus noctula,), Ppyg (activity of Pipistrellus pygmaeus).

Similar Items