scholarly journals Gps Telemetry and Home Range of the White-Backed Woodpecker Dendrocopos leucotos: Results of the First Experience

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
David Campion ◽  
Iker Pardo ◽  
Miguel Elósegui ◽  
Diego Villanua
Keyword(s):  
2018 ◽  
Vol 26 ◽  
pp. 15-31 ◽  
Author(s):  
Ioan Mihai Pop ◽  
Leonardo Bereczky ◽  
Silviu Chiriac ◽  
Ruben Iosif ◽  
Andreea Nita ◽  
...  

Brown bear movement patterns are driven by their opportunistic feeding behaviour, with their complex life history and seasonality playing an important role in habitat selection. Within a large unfragmented forest habitats persisting over decades in the Romanian Carpathians and a prohibitive hunting management during 40 years of communist centralised game management, information about brown bear movements and spatial ecology is lacking. Using data obtained from 13 brown bears fitted with GPS telemetry collars, we estimated home ranges and core activity areas and we investigated the daily, seasonal and altitudinal movements of brown bears in the Eastern Romanian Carpathians and surrounding high hills. The median MCP95% home ranges of brown bears was 629.92 km2 and the median size of core activity areas (estimated as 50% kernel density) was 36.37 km2, with no significant differences between males and females. The mean daily distance travelled, measured as daily displacement length, was 1818 m and an analysis of seasonal movements indicated significant differences between seasons (greatest movements during the Hyperphagia season). The GPS-collared brown bears travelled between a minimum altitude measured at ~234 m and a maximum at ~1634 m. Analysing the spatial overlap between the estimated home range and the game management units (GMU) limits, we obtained a median number of 8 GMUs overlapping totally or partially with estimated home range polygons. Our study, using GPS telemetry, highlights the complex spatial ecology of the brown bear in the Romanian Carpathians, with larger home range size than those estimated in other European brown bear populations and with daily movements that vary by season and within a large altitude range. Our study supports the implementation of brown bear monitoring at a regional scale, rather than focusing on county level GMUs as the monitoring unit.


2002 ◽  
Vol 66 (4) ◽  
pp. 1290 ◽  
Author(s):  
Irene Girard ◽  
Jean-Pierre Ouellet ◽  
Rehaume Courtois ◽  
Christian Dussault ◽  
Laurier Breton

2016 ◽  
Vol 64 (4) ◽  
Author(s):  
Jaime Andres Cabrera ◽  
Eduardo Molina ◽  
Tania Gonzalez ◽  
Dolors Armenteras

Telemetry based on Global Positioning Systems (GPS) makes possible to gather large quantities of information in a very fine scale and work with species that were impossible to study in the past. When working with GPS telemetry, the option of storing data on board could be more desirable than the sole satellite transmitted data, due to the increase in the amount of locations available for analysis. Nonetheless, the uncertainty in the retrieving of the collar unit makes satellite-transmitted technologies something to take into account. Therefore, differences between store-on-board (SoB) and satellite-transmitted (IT) data sets need to be considered. Differences between SoB and IT data collected from two lowland tapirs (Tapirus terrestris), were explored by means of the calculation of home range areas by three different methods: the Minimum Convex Polygon (MCP), the Fixed Kernel Density Estimator (KDE) and the Brownian Bridges (BB). SoB and IT data sets were similar, with fix ranging from 63% to 85% respectively and 16 m to 17 m horizontal errors. Depending on the total number of locations available for each individual, the home ranges estimated showed differences between 2.7% and 79.3%, for the 50% probability contour and between 9.9% and 61.8% for the 95% probability contour. These differences imply variations in the spatial coincidence of the estimated home ranges. We conclude that the use of IT data is not a good option for the estimation of home range areas if the collar settings have not been designed specifically for this use. Nonetheless, geographical representations of the IT based estimators could be of great help to identify areas of use, besides its assistance to locate the collar for its retrieval at the end of the field season and as a proximate backup when collars disappear.


Mammal Study ◽  
2019 ◽  
Vol 44 (2) ◽  
pp. 1
Author(s):  
Maria M. Altemus ◽  
John L. Koprowski ◽  
David E. Brown
Keyword(s):  

2019 ◽  
Vol 20 (2) ◽  
pp. 351
Author(s):  
Marina Kipson ◽  
Martin Šálek ◽  
Radek Lučan ◽  
Marcel Uhrin ◽  
Edita Maxinová ◽  
...  

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