A protocol to correct for intra‐ and interspecific variation in tail hair growth to align isotope signatures of segmentally cut tail hair to a common time line. (27th April 2015)

• Record Type: Journal Article
• Authors: Burnik Šturm, Martina; Pukazhenthi, Budhan; Reed, Dolores; Ganbaatar, Oyunsaikhan; Sušnik, Stane; Haymerle, Agnes; Voigt, Christian C.; Kaczensky, Petra
• Is Part Of: Rapid communications in mass spectrometry. Volume 29:Number 11(2015)
• Page Start: 1047
• Page End: 1054
• Publication Date: 2015-04-27
• Subjects: Mass spectrometry -- Periodicals; 543.65
• DOI: 10.1002/rcm.7196
• Languages: English
• ISSNs: 0951-4198

Abstract

Abstract : Rationale: In recent years, segmental stable isotope analysis of hair has been a focus of research in animal dietary ecology and migration. To correctly assign tail hair segments to seasons or even Julian dates, information on tail hair growth rates is a key parameter, but is lacking for most species. Methods: We (a) reviewed the literature on tail hair growth rates in mammals; b) made own measurements of three captive equid species; (c) measured δ 2 H, δ 13 C and δ 15 N values in sequentially cut tail hairs of three sympatric, free‐ranging equids from the Mongolian Gobi, using isotope ratio mass spectrometry (IRMS); and (d) collected environmental background data on seasonal variation by measuring δ 2 H values in precipitation by IRMS and by compiling pasture productivity measured by remote sensing via the normalized difference vegetation index (NDVI). Results: Tail hair growth rates showed significant inter‐ and intra‐specific variation making temporal alignment problematic. In the Mongolian Gobi, high seasonal variation of δ 2 H values in precipitation results in winter lows and summer highs of δ 2 H values of available water sources. In water‐dependent equids, this seasonality is reflected in the isotope signatures of sequentially cut tails hairs. Conclusions: In regions which are subject to strong seasonal patterns we suggest identifying key isotopes which show strong seasonal variation in the environment and can be expected to be reflected in the animal tissue. The known interval between the maxima and minima of these isotope values can then be used to correctly temporally align the segmental stable isotope signature for each individual animal. © 2015 The Authors. Rapid Communications in Mass Spectrometry published by John Wiley & Sons Ltd.