Predicting trait‐environment relationships for venation networks along an Andes‐Amazon elevation gradient

Understanding functional trait-environment relationships (TERs) may improve predictions of community assembly. However, many empirical TERs have been weak or lacking conceptual foundation. TERs based on leaf venation networks may better link individuals and communities via hydraulic constraints. We report measurements of vein density, vein radius, and leaf thickness for more than 100 dominant species occurring in ten forest communities spanning a 3,300 m Andes-Amazon elevation gradient in Peru. We use these data to measure the strength of TERs at community scale and to determine whether observed TERs are similar to those predicted by physiological theory. We found strong support for TERs between all traits and temperature, as well weaker support for a predicted TER between maximum abundance-weighted leaf transpiration rate and maximum potential evapotranspiration. These results provide one approach for developing a more mechanistic trait-based community assembly theory. Fil: Blonder, Benjamin. University of Oxford; Reino Unido Fil: Salinas, Norma. University of Oxford; Reino Unido. Pontificia Universidad Católica de Perú; Perú Fil: Patrick Bentley, Lisa. University of Oxford; Reino Unido Fil: Shenkin, Alexander. University of Oxford; Reino Unido Fil: Chambi Porroa, Percy O.. Universidad Nacional San Antonio Abad del Cusco; Perú Fil: Valdez Tejeira, Yolvi. Universidad Nacional San Antonio Abad del Cusco; Perú Fil: Violle, Cyrille. Université de Montpellier. Centre d’Ecologie Fonctionnelle et Evolutive; Francia Fil: Fyllas, Nikolaos M.. University of Oxford; Reino Unido Fil: Goldsmith, Gregory R.. Paul Scherrer Institute. Ecosystem Fluxes Group. Laboratory for Atmospheric Chemistry; Suiza Fil: Martin, Robert E.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos Fil: Asner, Gregory P.. Carnegie Institution for Science. Department of Global Ecology; Estados Unidos Fil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Enquist, Brian J.. Arizona State University; Estados Unidos Fil: Malhi, Yadvinder. University of Oxford; Reino Unido