Journal Article
Leaf architecture and functional traits for 122 species at the University of California Botanical Garden at Berkeley
Ilaine Silveira Matos; Mickey Boakye; Monica Antonio; Sonoma Carlos; Ashley Chu; Miguel A. Duarte; Andrea Echevarria; Adrian Fontao; Lisa Garcia; LeeAnn Huang; Breanna Carrillo Johnson; Shama Joshi; Diana Kalantar; Srinivasan Madhavan; Samantha McDonough; Izzi Niewiadomski; Nathan Nguyen; Hailey Jiyoon Park; Caroline Pechuzal; James Rohde; Roshni Sahu; Meg Scudder; Satvik Sharma; LeeDar Sneor; Jason To; Bradley Vu; Natalie Vuong; Nicole Yokota; Luiza M. T. Aparecido; Holly Forbes; Mark Fricker; Benjamin Blonder
Ecology · Vol. 105, Issue 12 · 2024
Abstract
The dataset contains leaf venation architecture and functional traits for a phylogenetically diverse set of 122 plant species (including ferns, basal angiosperms, monocots, basal eudicots, asterids, and rosids) collected from the living collections of the University of California Botanical Garden at Berkeley (37.87° N, 122.23° W; CA, USA) from February to September 2021. The sampled species originated from all continents, except Antarctica, and are distributed in different growth forms (aquatic, herb, climbing, tree, shrub). The functional dataset comprises 31 traits (mechanical, hydraulic, anatomical, physiological, economical, and chemical) and describes six main leaf functional axes (hydraulic conductance, resistance and resilience to damages caused by drought and herbivory, mechanical support, and construction cost). It also describes how architecture features vary across venation networks. Our trait dataset is suitable for (1) functional and architectural characterization of plant species; (2) identification of venation architecture‐function trade‐offs; (3) investigation of evolutionary trends in leaf venation networks; and (4) mechanistic modeling of leaf function. Data are made available under the Open Data Commons Attribution License.