2009
DOI: 10.1080/03078698.2009.9674397
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Sexing Black‐legged Kittiwakes by measurement

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Cited by 13 publications
(17 citation statements)
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References 8 publications
(12 reference statements)
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“…Although males were heavier than females, body mass was too variable for use in morphometric sexing. This is consistent with other studies showing that weight is a poor indicator of sex due to significant diurnal, seasonal, and interannual weight changes (Craig et al 1980, Coulson 2009). Shield parameters also were too variable despite their small measurement error (r ¼ 0.99).…”
Section: Discussionsupporting
confidence: 82%
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“…Although males were heavier than females, body mass was too variable for use in morphometric sexing. This is consistent with other studies showing that weight is a poor indicator of sex due to significant diurnal, seasonal, and interannual weight changes (Craig et al 1980, Coulson 2009). Shield parameters also were too variable despite their small measurement error (r ¼ 0.99).…”
Section: Discussionsupporting
confidence: 82%
“…Head length is an easy and highly repeatable measurement, with clear physical landmarks, producing smaller measurement error than for other hard skeletal measures like bill, tarsus or foot (Sweeney & Tatner 1996, Coulson 2009). For use in the field, morphometric sexing using a single feature is optimal provided it is sufficiently accurate (Coulson 2009). Although accuracy of a discriminant function typically increases when more variables are added (Dechaume-Moncharmont et al 2011), accuracy of sexing Gough Moorhens was not improved by adding further variables.…”
Section: Discussionmentioning
confidence: 99%
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“…Measurements were taken in accordance with instructions in the current BTO Ringers' Manual (Redfern & Clark 2001). Total head length was used to identify the sex of each bird caught according to criteria revised from Baker (1993) by Coulson (2009). In accordance with those revised criteria, birds with a total head length of 90-91 mm were recorded as of indeterminate sex.…”
Section: Biometric Datamentioning
confidence: 99%