Seasonal (summer, winter and migration seasons separately) GPS-remote sensing data for collared Wild Forest Reindeer in Suomenselkä population
Beskrivning
Seasonal (summer, winter and migration seasons separately) GPS-remote sensing data for collared Wild Forest Reindeer in Suomenselkä population
Seasonal (winter, summer, migration) fix density data deduced from the large remote sensing data of GPS-collared Wild Forest Reindeer females for Suomenselkä population.
Contact for data requests: kirjaamo@luke.fi
Taxonomic coverage: Wild Forest Reindeer (Rangifer tarandus fennicus)
Citation recommendation: Luonnonvarakeskus (Luke)
## Methods
Wild forest reindeer females were marked using helicopter. Animals were anaesthetized with CO2 dart tranquilizer instrument and Vectronic-type GPS GSM- or IRIDIUM collars were fitted. GPS collars updated their location every fourth hour. Also 1 or 2- hour fix rate was used during summer season. Data includes about 600 000 fixes from 123 collared females. Data from collars is stored to WRAM data base (Umeå Center for Wireless Remote Animal Monitoring Dept. for Wildlife, Fish and Environmental Studies SLU). Raw data was modified to density raster separately to seasons (summer, winter and migration seasons). For density raster data, all marked individuals and fixes were pooled within season and population. Density raster (size 5x5 km) for winter and summer was created using ArgGis Desktop 10.6.1 Spatial Analyst tools and point density function with options: circle radius = 2000 meters. Density raster (size 5x5 km) for migration corridors was created using ArgGis Desktop 10.6.1 Data management tools; from point to lines-tool, Spatial Analyst tools; line density function with options: circle radius = 2000 meters. Data was stored to georeferred tif – format (FGDBR) with projection EUREF_FIN_TM35FIN. Data is highly skewed. Therefore, for visual inspection, we recommend that user should categorize data to at least four classes and use geometric class interval where smallest class was left open.
Visa merPubliceringsår
2022
Typ av data
Upphovspersoner
Naturresursinstitutet - Utgivare
Antti Paasivaara - Upphovsperson
Projekt
Övriga uppgifter
Vetenskapsområden
Ekologi, evolutionsbiologi
Språk
inget språkligt innehåll
Öppen tillgång
Öppet