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dc.contributor.authorAnderson, Dean M.
dc.date.accessioned2020-04-03T16:56:28Z
dc.date.available2020-04-03T16:56:28Z
dc.date.issued2014-12-01
dc.identifier.citationAnderson, D. M. (2014). Calculating Foraging Area Using Global Navigation Satellite System (GNSS) Technology. Rangelands, 36(6), 31-35.
dc.identifier.issn0190-0528
dc.identifier.doi10.2111/Rangelands-D-14-00022.1
dc.identifier.urihttp://hdl.handle.net/10150/640059
dc.description.abstractOn the Ground • Optimum forage utilization on animal-dominated landscapes can only occur when stocking rate (SR) and stocking density (SD) are considered and managed simultaneously. • Landscapes with foraging animals contain vegetation ranging from unused to over-used even under a proper SR. • The global navigation satellite system (GNSS) technology has catapulted our understanding of spatial–temporal management of free-ranging livestock into a 24/7 opportunity. • Location-specific data will improve management of stocked landscapes, both ecologically and economically. • GNSS data from instrumented animals provides an opportunity to understand when and where a landscape is used to improve animal distribution. • A proper SR and management of animal distribution (i.e., SD) will facilitate adaptive management of animal dominated landscapes.
dc.language.isoen
dc.publisherSociety for Range Management
dc.relation.urlhttps://rangelands.org
dc.rightsCopyright © Society for Range Management.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjecttracking livestock
dc.subjectanimal behavior
dc.subjectGPS
dc.subjectplant–animal interface
dc.subjectadaptive management
dc.subjectpreweaning
dc.subjectpostweaning
dc.titleCalculating Foraging Area Using Global Navigation Satellite System (GNSS) Technology
dc.typetext
dc.typeArticle
dc.identifier.journalRangelands
dc.description.collectioninformationThe Rangelands archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information.
dc.eprint.versionFinal published version
dc.description.admin-noteMigrated from OJS platform March 2020
dc.source.volume36
dc.source.issue6
dc.source.beginpage31-35
refterms.dateFOA2020-04-03T16:56:29Z


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