Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries
| العنوان: | Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries |
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| المؤلفون: | Vamsi Krishna Kommineni, Jitendra Gaikwad, Jens Kattge, Abdelaziz Triki, Susanne Tautenhahn, Pramod Baddam, Barbara Wieczorek |
| المصدر: | Biodiversity Data Journal 9: e69806 Biodiversity Data Journal, Vol 9, Iss, Pp 1-41 (2021) Biodiversity Data Journal |
| بيانات النشر: | Pensoft Publishers, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | 0106 biological sciences, Salix bebbiana Sarg, Bioinformatics, QH301-705.5, Biodiversity, iDigBio, Chenopodium album L, Salix bebbiana, Viola canina L, 010603 evolutionary biology, 01 natural sciences, leaf width, 03 medical and health sciences, Image processing, Salix glauca, Leaf size, leaf length, Biology (General), Plantae, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, 0303 health sciences, Salix glauca L, Impatiens capensis Meerb. and Solanum dulcamara L, Ecology, biology, TRY trait database, World, Viola canina, Herbarium Specimens, Vegetation, biology.organism_classification, Data Paper (Biosciences), Herbarium, GBIF, digital herbarium specimen, leaf size, TraitEx, Trait, Alnus incana (L.) Moench, Cartography, morphological leaf traits |
| الوصف: | 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. After scrutinising the metadata of digitised herbarium specimen images available from iDigBio and GBIF (21.9 million and 31.6 million images for Tracheophyta; accessed date December 2020), we identified approximately 10 million images potentially appropriate for our study. From the 10 million images, we selected seven species (Salix bebbiana Sarg., Alnus incana (L.) Moench, Viola canina L., Salix glauca L., Chenopodium album L., Impatiens capensis Meerb. and Solanum dulcamara L.) , which have a simple leaf shape, are well represented in space and time and have high availability of specimens per species. We downloaded 17,383 images. Out of these, we discarded 5779 images due to quality issues. We used the remaining 11,604 images to measure the area, length, width and perimeter on 32,009 individual leaf blades using the semi-automated tool TraitEx. The resulting dataset contains 128,036 trait records. We demonstrate its comparability to trait data measured in natural environments following standard protocols by comparing trait values from the TRY database. We conclude that the herbarium specimens provide valuable information on leaf sizes. The dataset created in our study, by extracting leaf traits from the digitised herbarium specimen images of seven selected species, is a promising opportunity to improve ecological knowledge about the adaptation of size-related leaf traits to environmental changes in space and time. |
| وصف الملف: | text/html; application/pdf; text/csv |
| اللغة: | English |
| تدمد: | 1314-2828 1314-2836 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::534a6b4e55bb57d9730707874bcbdaee https://bdj.pensoft.net/article/69806/ |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....534a6b4e55bb57d9730707874bcbdaee |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13142828 13142836 |
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