Using GPS technology and GIS cluster analyses to estimate kill rates in wolf—ungulate ecosystems

@inproceedings{Sand2005UsingGT,
  title={Using GPS technology and GIS cluster analyses to estimate kill rates in wolf—ungulate ecosystems},
  author={H. Sand and Barbara Zimmermann and Petter Wabakken and H. Andr{\'e}n and H. C. Pedersen},
  year={2005}
}
Abstract Predatory behavior of wolves (Canis lupus) was studied in 2 wolf territories in Scandinavia. We used hourly data from Global Positioning System (GPS)-collared adult wolves in combination with Geographic Information System (GIS) for detailed analyses of movement patterns. We tested the hypothesis that wolves spend 1–2 days close to larger prey such as moose (Alces alces) and reasoned that 1–2 locations per day would be enough to find all larger prey killed by the wolves. In total, the… Expand
Wolf Movement Patterns: a Key to Estimation of Kill Rate?
Abstract To estimate wolf (Canis lupus) kill rates from fine-scale movement patterns, we followed adult wolves in 3 territories of the Scandinavian wolf population using Global Positioning SystemsExpand
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Analysis of global positioning system (GPS) location clusters (GLCs) is becoming increasingly popular in studies of carnivore ecology. While promising, this application of GPS technology is stillExpand
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Over 6,000 GPS fixes from two wolves (Canis lupus) and 30,000 GPS fixes from five moose (Alces alces) in a wolf territory in southern Scandinavia were used to assess the static and dynamicExpand
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Determinants of winter kill rates of wolves inScandinavia
Winter wolf (Canis lupus) kill rates on moose (Alces alces) on the Scandinavian Peninsula are high and subject to strong variation, compared to other boreal wolf-moose systems. A more detailedExpand
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