1. Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries.
- Author
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Kommineni, Vamsi Krishna, Tautenhahn, Susanne, Baddam, Pramod, Gaikwad, Jitendra, Wieczorek, Barbara, Triki, Abdelaziz, and Kattge, Jens
- Subjects
HERBARIA ,PLANT species ,LEAF morphology ,CLIMATE change ,PLANT ecology - Abstract
Background Morphological leaf traits are frequently used to quantify, understand and predict plant and vegetation functional diversity and ecology, including environmental and climate change responses. Although morphological leaf traits are easy to measure, their coverage for characterising variation within species and across temporal scales is limited. At the same time, there are about 3100 herbaria worldwide, containing approximately 390 million plant specimens dating from the 16th to 21st century, which can potentially be used to extract morphological leaf traits. Globally, plant specimens are rapidly being digitised and images are made openly available via various biodiversity data platforms, such as iDigBio and GBIF. Based on a pilot study to identify the availability and appropriateness of herbarium specimen images for comprehensive trait data extraction, we developed a spatio-temporal dataset on intraspecific trait variability containing 128,036 morphological leaf trait measurements for seven selected species. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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