Sex and geographic variation in grey-faced petrel (Pterodroma gouldi) morphometrics
| Autor: | Karen Bourgeois, Sylvain Dromzée, Jemma R. Welch, James C. Russell |
|---|---|
| Přispěvatelé: | Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
Morphometrics biology Ecology Range (biology) Zoology Petrel Geographic variation Procellariidae biology.organism_classification Linear discriminant analysis 010603 evolutionary biology 01 natural sciences 010605 ornithology Sexual dimorphism Discriminant function analysis [SDE]Environmental Sciences Animal Science and Zoology ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Waterbirds Waterbirds, Waterbird Society, 2017, 40 (2), pp.144-153. ⟨10.1675/063.040.0206⟩ Waterbirds, 2017, 40 (2), pp.144-153. ⟨10.1675/063.040.0206⟩ |
| ISSN: | 1524-4695 |
| DOI: | 10.1675/063.040.0206⟩ |
| Popis: | Sexual size dimorphism and geographic variability in external measurements of the Grey-faced Petrel (Pterodroma gouldi) were investigated on the west and east coasts of the North Island of New Zealand. The applicability of morphometrics to distinguish the sex of individuals in the two geographic areas and assign a geographic origin to individuals was evaluated. Low geographic variation in morphometry was found, with discriminant function analysis failing to develop an efficient function to assign a geographic origin (55.9% accuracy). In contrast, sexual size dimorphism was marked (up to 6.6% different), with males being significantly larger than females in all measurements but wing length. A discriminant function combining bill depth at nostrils and head length correctly predicted sex of adult breeders with 80.9% accuracy (78.9% for males, 82.7% for females). Despite its apparent applicability across the entire range of the species, this discriminant function was not sufficiently accurate on its... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|