{"refrec":{"BRefID":361623,"RR":"<b>Lok, T.; van der Geest, M.; Bom, R.A.; de Goeij, P.; Piersma, T.; Bouten, W.</b> (2023). Prey ingestion rates revealed by back-mounted accelerometers in Eurasian spoonbills. <i>Animal Biotelemetry 11(1)</i>. <a href=\"https://dx.doi.org/10.1186/s40317-022-00315-w\" target=\"_blank\">https://dx.doi.org/10.1186/s40317-022-00315-w</a>","BEntID":359339,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>Animal Biotelemetry 11(1)</i>. <a href=\"https://dx.doi.org/10.1186/s40317-022-00315-w\" target=\"_blank\">https://dx.doi.org/10.1186/s40317-022-00315-w</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Lok, T.; van der Geest, M.; Bom, R.A.; de Goeij, P.; Piersma, T.; Bouten, W.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Lok, T. <i>et al.</i>","Englishabstract":"<p>    Quantifying foraging success in space and time and among individuals is    essential for answering many ecological questions and may guide    conservation efforts. However, collecting this information is challenging    for species that forage on mobile prey and are difficult to observe    visually, for example, because they forage in inaccessible areas or at    night. In such cases, the use of tracking devices that simultaneously    collect location and acceleration data may provide a solution if foraging    success can be extracted successfully. The aim of this study was to assess    how well searching for and ingesting prey, among other behaviours, could be    distinguished from 20 Hz acceleration data collected by GPS/ACC-trackers    mounted on the back of Eurasian spoonbills <em>Platalea leucorodia</em>.    Upon capturing a prey, spoonbills make a distinct movement with their head    and back to throw the prey from the tip of the bill into the throat.</p>","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Prey ingestion rates revealed by back-mounted accelerometers in Eurasian spoonbills","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"Biologging; Accelerometer; Machine learning; Foraging success; Waterbird; Bioindicator; <i>Platalea leucorodia</i>","OtherDescriptors":null,"Notes":null,"AnaPub":2023,"MonPub":null,"DateUpdate":"2023-05-17","DateCreate":"2023-03-01","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000921801800001","VABBcode":null,"OpenAcc":1,"DOI":"10.1186/s40317-022-00315-w"},"refs":null,"anarec":{"AnaID":361623,"PubliDate":2023,"Pagination":null,"XtraPublOfAnaID":null,"ISBN":null,"Volume":"11","Issue":"1","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":301436,"SerRR":"Animal Biotelemetry. 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