Title |
Application of change-point analysis to determine winter sleep patterns of the raccoon dog (Nyctereutes procyonoides) from body temperature recordings and a multi-faceted dietary and behavioral study of wintering
|
---|---|
Published in |
BMC Ecology, January 2012
|
DOI | 10.1186/1472-6785-12-27 |
Pubmed ID | |
Authors |
Anne-Mari Mustonen, Terttu Lempiäinen, Mikko Aspelund, Paavo Hellstedt, Katri Ikonen, Juhani Itämies, Ville Vähä, Jaakko Erkinaro, Juha Asikainen, Mervi Kunnasranta, Pekka Niemelä, Jari Aho, Petteri Nieminen |
Abstract |
A multi-faceted approach was used to investigate the wintertime ecophysiology and behavioral patterns of the raccoon dog, Nyctereutes procyonoides, a suitable model for winter sleep studies. By utilizing GPS tracking, activity sensors, body temperature (Tb) recordings, change-point analysis (CPA), home range, habitat and dietary analyses, as well as fatty acid signatures (FAS), the impact of the species on wintertime food webs was assessed. The timing of passive bouts was determined with multiple methods and compared to Tb data analyzed by CPA. |
Twitter Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 25% |
Australia | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 1% |
Colombia | 1 | <1% |
United Arab Emirates | 1 | <1% |
Turkey | 1 | <1% |
Portugal | 1 | <1% |
India | 1 | <1% |
United Kingdom | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Japan | 1 | <1% |
Other | 0 | 0% |
Unknown | 125 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 30 | 22% |
Student > Master | 22 | 16% |
Student > Ph. D. Student | 21 | 16% |
Student > Bachelor | 13 | 10% |
Other | 11 | 8% |
Other | 17 | 13% |
Unknown | 21 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 67 | 50% |
Environmental Science | 22 | 16% |
Social Sciences | 4 | 3% |
Psychology | 3 | 2% |
Veterinary Science and Veterinary Medicine | 2 | 1% |
Other | 9 | 7% |
Unknown | 28 | 21% |