TOPIC CoVitas - Aboveground and belowground plant traits

Description

Co-Vitas project traits data. The Co-VITAS project is investigating understory species (6 ubiquitous boreal species) response and adaptive capacity to environmental change, by measuring a set of leaf and root traits throughout the species range. We enlisted and coordinated the efforts of 23 research teams across Canada for field sampling of 79 sites in July 2014 (from Newfoundland to Yukon). Traits include root calcium content, root potassium content, root magnesium content, root nitrogen content, root phosphorus content, leaf calcium content, leaf potassium content, leaf magnesium content, leaf nitrogen content, leaf phosphorus content, specific leaf area, specific root length. Please cite as: Kumordzi, B. B., Aubin, I., Cardou, F., Shipley, B., Violle, C., Johnstone, J., Anand, M., Arsenault, A., Bell, F. W., Bergeron, Y., Boulangeat, I., Brousseau, M., De Grandpré, L., Delagrange, S., Fenton, N. J., Gravel, D., Macdonald, S. E., Hamel, B., Higelin, M., Higelin, M., Hébert, F., Isabel, N., Mallik, A., McIntosh, A. C. S., McLaren, J. R., Messier, C., Morris, D., Thiffault, N., Tremblay, J.-P., Munson, A.D. (2019). Geographic scale and disturbance influence intraspecific trait variability in leaves and roots of North American understorey plants. Functional Ecology, 33, 1771–1784.[https://doi.org/10.1111/1365-2435.13402](https://doi.org/10.1111/1365-2435.13402)

Resources

Name Format Description Link
Traits description CSV https://open.canada.ca/data/dataset/6c1f77a5-117b-49bf-82d7-c2c0fc020819/resource/9b81f96c-8b84-426d-ab63-f3dfceb0c7ef/download/topic_co-vitas_traits_description2024.csv
Data traits CSV https://open.canada.ca/data/dataset/6c1f77a5-117b-49bf-82d7-c2c0fc020819/resource/b15b00e3-9a79-4030-9b63-9977f418c3b0/download/topic_co-vitas_data_donnees2024.csv
Data dictionary CSV https://open.canada.ca/data/dataset/6c1f77a5-117b-49bf-82d7-c2c0fc020819/resource/ede094f4-250c-46f3-a072-d215cec6f721/download/topic_co-citas_dictionary_dictionnaire2024.csv

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