Gayana Bot. 74(1):74(1), 2017X-X, 2017 ISSN 0016-5301 Original Article Patterns of composition, richness and phylogenetic diversity of woody plant communities of Quillaja saponaria Molina (Quillajaceae) in the Chilean sclerophyllous forest Patrones de composición, riqueza y diversidad filogenética de las comunidades de plantas leñosas de Quillaja saponaria Molina (Quillajaceae) en el bosque esclerófilo de Chile LUIS LETELIER1,2*, ALY VALDERRAMA2, ALEXANDRA STOLL3, ROLANDO GARCÍA-GONZÁLES4 & ANTONIO GONZÁLEZ-RODRÍGUEZ1 1Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autónoma de México, Antigua Carretera a Pátzcuaro Nº 8701, Col. Ex -Hacienda de San José de la Huerta, Morelia, CP 58190, México. 2Universidad Bernardo O`Higgins, Centro de Investigación en Recursos Naturales y Sustentabilidad, Avenida Viel 1497, Santiago, Chile. 3Centro de Estudios Avanzados en Zonas Áridas, Campus Andrés Bello, Universidad de La Serena, La Serena, Chile. 4Facultad de Ciencias Agrarias y Forestales, Universidad Católica del Maule, Avenida San Miguel Nº 3605, Casilla 617, Talca, Chile. *
[email protected] ABSTRACT Sclerophyllous forest is among the most representative types of woody plant communities in central Chile where Quillaja saponaria is considered to be one of the most important species. In this study, we analysed the main factors that explain the geographical patterns of variation in composition, richness and phylogenetic diversity of woody plant communities in the Chilean sclerophyllous forest where Quillaja saponaria is present. Vegetation surveys were performed for trees and shrubs in thirty-nine sites from 30° to 38° of latitude South in the Mediterranean biome of Chile. Composition, richness, alfa diversity and phylogenetic diversity metrics of the communities were calculated and associated with spatial (latitude, longitude and altitude), climate (annual mean temperature, annual precipitation, aridity), and disturbance variables (type of adjacent vegetation matrix) using multiple regression models.