Matos Ilaine Silveira, Boakye Mickey, Antonio Monica, Carlos Sonoma, Chu Ashley, Duarte Miguel A, Echevarria Andrea, Fontao Adrian, Garcia Lisa, Huang LeeAnn, Johnson Breanna Carrillo, Joshi Shama, Kalantar Diana, Madhavan Srinivasan, McDonough Samantha, Niewiadomski Izzi, Nguyen Nathan, Park Hailey Jiyoon, Pechuzal Caroline, Rohde James, Sahu Roshni, Scudder Meg, Sharma Satvik, Sneor LeeDar, To Jason, Vu Bradley, Vuong Natalie, Yokota Nicole, Aparecido Luiza M T, Forbes Holly, Fricker Mark, Blonder Benjamin
Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California, USA.
School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
Ecology. 2024 Dec;105(12):e4436. doi: 10.1002/ecy.4436. Epub 2024 Oct 25.
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.
该数据集包含从美国加利福尼亚大学伯克利分校植物园（北纬37.87°，西经122.23°；美国加利福尼亚州）的活体植物收集品中采集的122种系统发育多样的植物物种（包括蕨类植物、基部被子植物、单子叶植物、基部真双子叶植物、菊类植物和蔷薇类植物）的叶脉结构和功能性状。这些采样物种原产于除南极洲以外的各大洲，分布于不同的生长形式（水生、草本、攀缘、乔木、灌木）。功能数据集包含31个性状（机械、水力、解剖、生理、经济和化学性状），描述了六个主要的叶片功能轴（水力传导率、对干旱和食草动物造成的损害的抗性和恢复力、机械支撑和构建成本）。它还描述了叶脉网络中结构特征是如何变化的。我们的性状数据集适用于：（1）植物物种的功能和结构特征描述；（2）叶脉结构-功能权衡的识别；（3）叶脉网络进化趋势的研究；以及（4）叶片功能的机理建模。数据依据开放数据共享署名许可协议提供。
