Sensors | |
Assessing Herbivore Foraging Behavior with GPS Collars in a Semiarid Grassland | |
David J. Augustine1  | |
[1] Rangeland Resources Research Unit, United States Department of Agriculture–Agricultural Research Service, 1701 Centre Avenue, Fort Collins, CO 80525, USA | |
关键词: activity sensors; classification tree; GPS collars; grazing behavior; herbivore distribution; livestock; rangeland; shortgrass steppe; ungulate; | |
DOI : 10.3390/s130303711 | |
来源: mdpi | |
【 摘 要 】
Advances in global positioning system (GPS) technology have dramatically enhanced the ability to track and study distributions of free-ranging livestock. Understanding factors controlling the distribution of free-ranging livestock requires the ability to assess when and where they are foraging. For four years (2008–2011), we periodically collected GPS and activity sensor data together with direct observations of collared cattle grazing semiarid rangeland in eastern Colorado. From these data, we developed classification tree models that allowed us to discriminate between grazing and non-grazing activities. We evaluated: (1) which activity sensor measurements from the GPS collars were most valuable in predicting cattle foraging behavior, (2) the accuracy of binary (grazing, non-grazing) activity models
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190037823ZK.pdf | 260KB | download |