2008
DOI: 10.1016/j.jas.2007.06.010
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The use of stable isotope ratio analysis to distinguish multiple prey kill events from mass kill events

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Cited by 23 publications
(23 citation statements)
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References 42 publications
(46 reference statements)
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“…All sampled pronghorn are males killed in a known hunt area within Wyoming; Fenner (2008) provides additional information on pronghorn sample characteristics. The number of pronghorn isotope ratio samples per hunt area ranged from 1 to 24 (Table 1; see also Supplemental Table S1), with an average of 6.6 samples for carbon and oxygen analyses, and 4.1 samples for strontium analyses.…”
Section: Samplesmentioning
confidence: 99%
“…All sampled pronghorn are males killed in a known hunt area within Wyoming; Fenner (2008) provides additional information on pronghorn sample characteristics. The number of pronghorn isotope ratio samples per hunt area ranged from 1 to 24 (Table 1; see also Supplemental Table S1), with an average of 6.6 samples for carbon and oxygen analyses, and 4.1 samples for strontium analyses.…”
Section: Samplesmentioning
confidence: 99%
“…The standard deviation was used as a measure of variability, and values were scaled based on the adaptation of Equations ( to proposed by this author (Fenner, :708) as follows: δ13normalCnormals=δ13normalCnormalmnormalCnormalgnormalRnormaln/normalRnormale δ15normalNnormals=δ15normalNnormalmnormalNnormalgwhere ‘s’ subscript identifies the resulting value scale, ‘m’ subscript identifies the raw value measured of each element, ‘Eg’ (where E stands for element, in this case C or N) represents the average value of the isotope ratio of this element for the group, either a modern assemblage or an attritional group, ‘Rn’ is the range of the element with greater variability of the sample and ‘Re’ is the range of the element in question, considering all the samples. Equation (4) from Fenner (:708) was also adapted for the calculation of the two dimensional Euclidean distances: normalDnormali=()[]δ13Cs()i][2+δ15Ns()i20.5where ‘Di’ is the two‐dimensional Euclidean distance of individual i. The purpose of these equations is to obtain a measure of variability for each group which facilitates the comparison between them (Fenner, , ).…”
Section: Methodsmentioning
confidence: 99%
“…Equation (4) from Fenner (:708) was also adapted for the calculation of the two dimensional Euclidean distances: normalDnormali=()[]δ13Cs()i][2+δ15Ns()i20.5where ‘Di’ is the two‐dimensional Euclidean distance of individual i. The purpose of these equations is to obtain a measure of variability for each group which facilitates the comparison between them (Fenner, , ).…”
Section: Methodsmentioning
confidence: 99%
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