Do taxonomic, phylogenetic and functional plant α- and β-diversity reflect environmental patterns in the Lower Paraná River floodplain?

Background: Floodplain wetlands feature high plant biodiversity, comprising variability in several organisation levels and at different scales. Aims: In a large river floodplain, we aimed to answer whether taxonomic, phylogenetic and functional α-diversity of herbaceous assemblages responded to hydrogeomorphic features conditioning the local flood pulse and/or to soil features; and to determine the relationship between β-diversity and geographic and environmental distances. Methods: Taxonomic, phylogenetic and functional α-diversity indices were computed in 82 sites in the Lower Paraná River floodplain. Relationships between α-diversity and environment were explored by generalised linear models. Spatial structure was assessed by semi-variograms. Responses of partitions of β-diversity to geographic or environmental distances were tested through multiple regressions in distance matrices. Results: Taxonomic and phylogenetic α-diversity showed a similar pattern in relation to environment, especially to hydrogeomorphic features. The regression model fitted to species richness had the highest explanatory power. Regarding functional α-diversity, only the number of plant functional types responded to environmental features. Partitions of β-diversity, particularly the replacement of functional strategies, were better explained by environmental than by geographic distances. Conclusions: The diversity patterns of plant assemblages in a large river floodplain highlight the importance of heterogeneity conditioning the local effect of flood pulse regimes. Fil: Morandeira, Natalia Soledad. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Kandus, Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina