16 research outputs found
Agricultural abandonment and re-cultivation during and after the Chechen Wars in the northern Caucasus
Geometric Metasurfaces for Ultrathin Optical Devices
Alces alces, Asia, distribution, Eurasian elk, Europe, GIS, harvest, moose, population densit
Vegetation productivity summarized by the Dynamic Habitat Indices explains broad-scale patterns of moose abundance across Russia
Contains fulltext :
216799.pdf (publisher's version ) (Open Access)12 p
Sexual and Individual Features in the Long-Range and Short-Range Calls of the White-naped Crane
global_phenology_final_script
This is the R script associated with the analyses from this publication. Note in order to make species maps you need to download and read into R their range maps from the IUCN red list website: http://www.iucnredlist.org
Data from: Winter coat color polymorphisms identify global hotspots for evolutionary rescue from climate change
Maintenance of biodiversity in a rapidly changing climate will depend on the efficacy of evolutionary rescue, whereby population declines due to abrupt environmental change are reversed by shifts in genetically-driven adaptive traits. However, a lack of traits known to be under direct selection by anthropogenic climate change has limited the incorporation of evolutionary processes into global conservation efforts. In 22 vertebrate species, some individuals undergo a seasonal color molt from summer brown to winter white as camouflage against snow, while other individuals remain brown. Seasonal snow duration is decreasing globally, and fitness is lower for winter white animals on snowless backgrounds. Based on 2,713 georeferenced samples of known winter coat color – from 8 species across trophic levels – we identify environmentally driven clinal gradients in winter coat color, including polymorphic zones where winter brown and white morphs co-occur. These polymorphic zones, underrepresented by existing global protected area networks, indicate hotspots for evolutionary rescue in a changing climate
Mills_data_final_2018
This is the data used to build models predicting the probability of winter white for each species across their range. It is needed to run the R script. See README file for column descriptions and more information