Green-up selection by red deer in heterogeneous, human-dominated landscapes of Central Europe
Cite this dataset
Sigrist, Benjamin et al. (2022). Green-up selection by red deer in heterogeneous, human-dominated landscapes of Central Europe [Dataset]. Dryad. https://doi.org/10.5061/dryad.1vhhmgqw9
Abstract
Methods
We used spatial relocation data for female [58] and male [35] red deer that were captured and marked in a period from 2015 to 2018. Individuals were darted and immobilized at night in order to collar them [GPS telemetry collars; Vectronic Aerospace GmbH]. They were then monitored over a period of 1-2 years, except for early drop-offs due to fatalities or technical issues. Capturing, marking and collaring was performed in the winter home ranges by authorities and game wardens of the respective cantons and was in line with Swiss animal welfare laws and approved by the appropriate authorities [permissions SG13-12, GR2014-07F, GR2015-09, VS07-17].
We used plant phenological proxies derived from Sentinel 2 open satellite data to analyse the habitat selection of the 93 red deer in montane and alpine habitats based on the Greenwave hypothesis (GWH). With a step selection analysis, we investigated how plant phenology, i.e. the instantaneous rate of green-up (IRG), normalised difference vegetation index (NDVI) and a set of variables describing topography and human presence contributed to explaining red deer resource selection in open habitats. Additionally, we assessed the animals’ migration strategies and investigated which strategy might be more beneficial in terms of access to high quality forage.
Usage notes
ArcGIS [version 10.5, ESRI], R version 3.5.1 (R Core Team, 2018)