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Extensive_description_of_the_dataset
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In 2018 and 2019, the roots of three individuals per species were sampled. Next, in the lab, under the stereo microscope, the root branches were dissected into different orders: the first to fifth root orders. The root order of a tree species refers to the hierarchical classification of roots based on their branching sequence, where the most distal roots in a branching system are first order roots, the node from which two first order roots branch marks the location of a second order and the root branches to the proximal end are the fourth and fifth root orders. After scanning the roots, morphological root traits (specific root length, root diameter, and root tissue density) were quantified by root orders. After that, we measured root anatomical traits (root area, stele area, cortex area, and cortex area to stele area ratio) following the standard protocols. We also measured the rate of arbuscular mycorrhizal colonization (MCR) using the magnified intersection method. Finally, between 2018 and 2022, we collected leaves (eleven fully expanded and intact sun-exposed leaves) of those 25 tree species, scanned them, and then measured the following leaf traits: leaf dry matter content (LDMC), leaf mass per area (LMA), and leaf toughness. The diameter at breast height (DBH) of each tree species was measured every year, and with that, we calculated the average basal area increment as a proxy for growth.
List of files:
- ARBOfun_trait_growth_data_root_order_data.csv: raw root and leaf data including the root order. Used for the supplementary analyses in Sanaei et al. (2025).
- ARBOfun_trait_growth_data_functional_root_group_data.csv: root and leaf data averaged per root functional group (itself derived from root order). Used for the main analyses in Sanaei et al. (2025).
- Meta_ARBOfun_functional_root_leaf_traits_growth.csv: metadata file describing the variables measured, their data type, and unit.
- Meta_ARBOfun_order_based_root_leaf_traits_growth.csv: metadata file describing the variables measured, their data type, and unit.
- ARBOfun root and leaf analysis.R (attached): R code used for the principal component analysis and visualization presented in Sanaei et al. (2025).
All files use UTF-8 character encoding. There are no missing values. |
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