--------------------------------------------- # Data for "Predicting drivers of Cu leaf accumulation in five plant species: how properties of soil and climate explain variation in Cu leaf accumulation" Preferred citation (DataCite format): Pošćić, Filip; Mattiello, Alessandro; Novello, Nicola; Cornu, Jean-Yves; Babst-Kostecka, Alicja (2023). Data for "Predicting drivers of Cu leaf accumulation in five plant species: how properties of soil and climate explain variation in Cu leaf accumulation". University of Arizona Research Data Repository. Dataset. https://doi.org/10.25422/azu.data.22000958 Corresponding Author: Filip Pošćić, Environmental Science, fposcic@arizona.edu License: CC BY 4.0 DOI: https://doi.org/10.25422/azu.data.22000958 --------------------------------------------- ## Summary Data for the paper Mattiello et al. (2023). The data are environmental variables (growing degree days and total solar radiation), soil variables (bulk density, pH, electrical conductivity, total equivalent carbonate concentration, gravel concentration, soil texture, soil total, and available element concentrations), and plant nutrients concentration in roots and leaves of five species ( _Lolium perenne_ , _Plantago lanceolata_ , _Rumex obtusifolius_ , _Taraxacum officinale_ , and _Trifolium repens_ ) commonly found in the understory vegetation of Mediterranean vineyard (notes 1-10). Data are from nine organic vineyards, two conventional vineyards, and two control (not vineyards and uncontaminated) sites located in the region of Friuli Venezia Giulia (Italy). The data in notes 11 and 12 are from a controlled experiment performed on plants grown from seeds collected at three sampled vineyards. These data were analyzed in the above-mentioned citation (if data needed to be transformed for achieving normality and homogeneity of variance, these transformations are shown in this database as well). --------------------------------------------- ## Files and Folders The dataset is organized into 12 Notes, each on a separate sheet. In all notes, values that were not measured are indicated by "N.M.". - Note 1 shows site locations, their code, growing degree days, total solar radiation, and soil bulk density (these data were used for Fig. 1, table S4, and Fig. S1). - Note 2 shows the species description and their codes. Different soil variables were reported in the same sheet (note) only if obtained from the same sample. - Note 3 shows soil pH and electrical conductivity (these data were used for Fig. 1, table S4, Fig. S2, and Fig. S4). - Note 4 shows soil total equivalent carbonate concentrations (these data were used for Fig. 1, table S4, Fig. S2, and Fig. S4). - Note 5 shows soil gravel concentrations (these data were used for Fig. 1, table S4, and Fig. S2). - Note 6 shows soil texture (clay, silt, and sand concentrations) (these data were used for Fig. 1, table S4, and Fig. S2). - Note 7 shows soil total nitrogen (TN), total organic carbon (TOC), and the ratio of TOC-to-TN (these data were used for Fig. 1, table S4, and Fig. S2). - Note 8 shows soil DTPA extractable element concentrations (these data were used for Fig. 1, table S4, and Fig. S3). - Note 9 shows rhizosphere soil, root and leaf element concentration for sampled plant individuals. - Note 10 shows data from note 9 after the appropriate transformation for achieving normality and homogeneity of variance (these data were used for Fig. 1, Fig. 2, table S3, table S4, table S5, Fig. S4, Fig. S5, and Fig. S6). - Note 11 shows root growth of tested populations after exposure to series of Cu concentrations in nutrient solution (these data were used for Fig. 3). - Note 12 shows Cu concentration in leaves of tested populations from note 11 after exposure at different Cu concentration in the nutrient solution (these data were used for table 1). --------------------------------------------- ## Materials and Methods - Lolium perenne L., Plantago lanceolata L., Rumex obtusifolius L., Taraxacum officinale (L.) Weber ex F. H. Wigg., and Trifolium repens L. and respective soil samples at 13 sites. - ICP-OES, CHN, and other common instruments for soil analysis such as pH, EC, etc. --------------------------------------------- ## Contributor Roles The roles are defined by the CRediT taxonomy http://credit.niso.org/ - Alessandro Mattiello, Department of Agriculture, Food, Environment and Animal Sciences, University of Udine, via delle Scienze 206, Udine, 33100, Italy: Methodology, Formal analysis, Investigation, Project administration, Writing – original draft. - Nicola Novello, School of Health, Medical and Applied Sciences, Central Queensland University, Bruce Hwy, North Rockhampton, Qld 4701, Australia: Methodology, Formal analysis, Investigation. - Jean-Yves Cornu, ISPA, Bordeaux Sciences Agro, INRAE, Villenave-d’Ornon cedex, 33140, France: Conceptualization, Formal analysis, Validation, Writing – review & editing. - Alicja Babst-Kostecka, Department of Environmental Science, The University of Arizona, Tucson, 85721, Arizona: Conceptualization, Methodology, Formal analysis, Validation, Software, Supervision, Writing – review & editing. - Filip Pošćić, Department of Environmental Science, The University of Arizona, Tucson, 85721, Arizona: Conceptualization, Data curation, Methodology, Formal analysis, Investigation, Software, Supervision, Project administration, Resources, Writing – original draft, Writing – review & editing. --------------------------------------------- ## Additional Notes Links: - http://www.solaritaly.enea.it/clisun/Pagine/TabelleRadiazione.htm - 10.1016/j.envpol.2023.121675