Ecomorphological patterns in the Blackcap Sylvia atricapilla: insular versus mainland populations

• Tipo: Artigo em Revista Científica Internacional
• Data: 2015

Autores

Pedro Andrade (Autor) Outra; Pedro Rodrigues (Autor) Outra; Ricardo Jorge Lopes (Autor) Outra; Jaime Albino Ramos (Autor) Outra; Regina Tristao Da Cunha (Autor) Outra; David Goncalves (Autor) FCUP

Revista

Título: Bird Study

Vol. 62

Páginas: 498-507

ISSN: 0006-3657

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 8 Citações

Scopus - 7 Citações

Classificação Científica

CORDIS: Ciências Naturais > Ciências biológicas > Biodiversidade > Caracterização da biodiversidade

FOS: Ciências exactas e naturais > Ciências biológicas

Outras Informações

ID Authenticus: P-00G-TFP

DOI: 10.1080/00063657.2015.1077780

Abstract (EN): Capsule Blackcap Sylvia atricapilla populations from the Azores archipelago show morphological differences to continental birds which are consistent with the Island Rule'.Aims The morphology of insular vertebrates is usually the result of the evolution in their particular environment and leads to predictable morphological patterns, according to the Island Rule. We test the predictions of the Island Rule, using the Blackcap of the Azores archipelago as our model.Methods We compared morphological variation (body size and wing shape) of populations from the nine islands of the Azores to continental birds, using multivariate indexes. Also, we looked at the relationship between these patterns and possible insular ecological drivers of morphological divergence.Results Our findings are concordant with Island Rule predictions, as in general birds from the Azores are larger than continental populations, especially birds from the most distant islands. Wing shape also differs significantly, as Azorean Blackcaps tend to have rounder wings than continental birds with a migratory-like phenotype.Conclusion Overall, we conclude that the observed morphological patterns in Blackcap in the Azores conform in general to the Island Rule predictions.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10