This readme.txt file was generated on <20191105> by ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Light access and leaf trait variation within and among tree species across diverse mixtures within a common garden 2. Author Information Principal Investigator Contact Information Name: Laura J. Williams Institution: University of Minnesota Address: 115 Green Hall, 1530 Cleveland Ave. N, St Paul MN 55108 Email: will3972@umn.edu ORCID:0000-0003-3555-4778 Associate or Co-investigator Contact Information Name: Jeannine Cavender-Bares Institution: University of Minnesota Address: 140 Gortner Labs, 1479 Gortner Ave, St Paul MN 55108 Email: cavender@umn.edu Associate or Co-investigator Contact Information Name: Peter B. Reich Institution: University of Minnesota Address: 115 Green Hall, 1530 Cleveland Ave. N, St Paul MN 55108 Email: preich@umn.edu Associate or Co-investigator Contact Information Name: Alain Paquette Institution: Université du Québec à Montréal Associate or Co-investigator Contact Information Name: Christian Messier Institution: Université du Québec à Montréal 3. Date of data collection: 20120719 - 20120820 (YYYYMMDD) 4. Geographic location of data collection (where was data collected?): Data were collected from the International Diversity Experiment Network with Trees (IDENT) site at Ste-Anne-de-Bellevue near Montreal (Quebec, Canada, 45˚26’N 73˚56’W). 5. Information about funding sources that supported the collection of the data: The University of Minnesota (College of Biological Sciences, College of Food and Natural Resources, Institute on the Environment, and Graduate School), the Canada Research Chair program, and an International Fulbright Science and Technology Award financially supported the collection of the data. -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: 2. Links to publications that cite or use the data: L.J. Williams, J. Cavender-Bares, A. Paquette, C. Messier, and P.B. Reich. Light mediates the relationship between community diversity and trait plasticity in functionally and phylogenetically diverse tree mixtures. Journal of Ecology (in review) 3. Links to other publicly accessible locations of the data: N/A 4. Links/relationships to ancillary data sets: N/A 5. Was data derived from another source? N/A 6. Recommended citation for the data: Williams, Laura J.; Cavender-Bares, Jeannine; Paquette, Alain; Messier, Christian; Reich, Peter B. (2019) Light access and leaf trait variation within and among species across diverse tree mixtures within a common garden. Retrieved from the Data Repository for the University of Minnesota, [ADD DOI HERE] --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: IDENTMac2012_leaf traits and light.csv Short description: Traits of leaves collected from trees within the IDENT-Montreal site and estimates of light. 2. Relationship between files: N/A 3. Additional related data collected that was not included in the current data package: N/A 4. Are there multiple versions of the dataset? No -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Methods are documented in the following publication: L.J. Williams, J. Cavender-Bares, A. Paquette, C. Messier, and P.B. Reich. Light mediates the relationship between community diversity and trait plasticity in functionally and phylogenetically diverse tree mixtures. Journal of Ecology (in review) In brief: Leaf samples were collected from the upper crown and lower crown of 1312 trees within the IDENT-Montreal site. Each leaf sample was scanned, dried at 65 degrees C, and weighed. A subset of samples were subsequently finely ground (lamina only) and analyzed for total nitrogen and carbon at the University of Nebraska, Lincoln, using a Costech ECS 4010 element analyzer. The light environment of leaves were estimated in one of two ways. (1) Photosynthetically active radiation (PAR) was measured within experimental plots at four heights through the canopy (0, 0.6, 1.2, and 1.8 m above ground) with a quantum line sensor (LI-191, LI-COR, Nebraska, Lincoln), total incoming PAR was simultaneously recorded in an open area adjacent to the experiment (with a LI-190, LI-COR, Nebraska, Lincoln), and these two measurements were used to calculate the fraction of incoming PAR that reached a given depth in the canopy. (2) Light extinction profiles were estimated for a subset of plots using a line intercept approach following Thomas and Winner (2000, Canadian Journal of Forest Research 30:1922-1930) and Nock et al. (2008, Ecology 89:744-753), whereby vertical lines were dropped through the canopy, the height and angle of each intercepted leaf was recorded, and the fraction of intercepted light was estimated using the Beer-Lambert Law. 2. Methods for processing the data: See publication reference above. 3. Instrument- or software-specific information needed to interpret the data: N/A 4. Standards and calibration information, if appropriate: N/A 5. Environmental/experimental conditions: See publication reference above. 6. Describe any quality-assurance procedures performed on the data: N/A 7. People involved with sample collection, processing, analysis and/or submission: The study was designed by L. Williams with assistance from J. Cavender-Bares, P. Reich, A. Paquette and C. Messier. Samples were collected and processed by L. Williams with assistance in the field or lab from Simon Despoja, Laura Nikinmaa, and Cindy Buschena. Conny Tobner and Chelsea Archambault also provided help at the IDENT-Montreal experiment. Leaf nitrogen was analyzed at the University of Nebraska, Lincoln. C. Messier, A. Paquette, C. Messier and Conny Tobner designed the broader IDENT-Montreal experiment. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: IDENTMac2012_leaf traits and light.csv ----------------------------------------- 1. Number of variables: 19 2. Number of cases/rows: 2615 3. Missing data codes: NA = data not collected 4. Variable List A. Name: Site Description: Site of data collection Mac = Montreal IDENT site B. Name: Year Description: Year of data collection (2012) C. Name: Block Description: Experimental block (one of the four replicate blocks: A, B, C, D) D. Name: Plot Description: The species composition of plots; codes reference the species richness (monocultures 2, 4 or 12 species) and initial estimate of the functional diversity (1 = low to 8 = high) ABBA = Abies balsamea ACRU = Acer rubrum ACSA = Acer saccharum BEAL = Betula alleghaniensis BEPA = Betula papyrifera LALA = Larix laricina PIGL = Picea glauca PIRU = Picea rubens PIRE = Pinus resinosa PIST = Pinus strobus QURU = Quercus rubra THOC = Thuja occidentalis 2N1 = Pinus resinosa, Picea rubens 2N2 = Larix laricina, Pinus strobus 2NR2A = Acer rubrum, Betula alleghaniensis 2NR2B = Pinus resinosa, Pinus strobus 2N3 = Betula alleghaniensis, Quercus rubra 2N4 = Betula papyrifera , Quercus rubra 2NR4 = Larix laricina, Picea glauca 2N5 = Picea glauca, Pinus strobus 2NR5 = Betula papyrifera, Pinus strobus 2N6 = Abies balsamea , Acer rubrum 2N7 = Acer saccharum, Larix laricina 2NR7A = Abies balsamea, Acer saccharum 2NR7B = Acer rubrum, Thuja occidentalis 2N8 = Acer saccharum, Thuja occidentalis 4N1 = Abies balsamea , Picea glauca, Pinus resinosa, Picea rubens 4N2 = Acer rubrum, Betula alleghaniensis, Betula papyrifera, Quercus rubra 4NR2 = Pinus resinosa, Pinus strobus, Picea rubens, Picea glauca 4N3 = Betula alleghaniensis , Pinus resinosa , Picea rubens, Pinus strobus 4N4 = Abies balsamea, Betula papyrifera, Larix laricina, Picea glauca 4N5 = Abies balsamea, Acer saccharum, Picea rubens, Picea glauca 4N6 = Larix laricina, Pinus strobus, Quercus rubra, Thuja occidentalis 4N7 = Acer rubrum, Quercus rubra, Pinus strobus, Thuja occidentalis 4NR7 = Betula papyrifera, Pinus strobus, Acer saccharum, Picea glauca 4N8 = Acer saccharum, Betula alleghaniensis, Picea glauca, Thuja occidentalis 12N = Abies balsamea, Acer rubrum, Acer saccharum, Betula alleghaniensis, Betula papyrifera, Larix laricina, Picea glauca, Picea rubens, Pinus resinosa, Pinus strobus, Quercus rubra, Thuja occidentalis E. Name: Tree Description: Code of the sampled tree, refers to its position (row and column) within plot F. Name: LeafLocation Description: Crown position from which leaf sample was collected H = Upper crown L = Lower crown G. Name: HtCollected Description: Approximate height at which leaf sample was collected (cm above ground) H. Name: Species Description: Species identity ABBA = Abies balsamea ACRU = Acer rubrum ACSA = Acer saccharum BEAL = Betula alleghaniensis BEPA = Betula papyrifera LALA = Larix laricina PIGL = Picea glauca PIRE = Pinus resinosa PIRU = Picea rubens PIST = Pinus strobus QURU = Quercus rubra THOC = Thuja occidentalis I. Name: SR Description: Species richness of the plot J. Name: Nleaves Description: Number of leaves or needles sampled K. Name: SLA_wp Description: specific leaf area (m^2/kg) (one-sided projected area of leaf divided by dry mass of leaf) including petioles were leaves have petioles L. Name: SLA_np Description: specific leaf area (m^2/kg) (one-sided projected area of leaf divided by dry mass of leaf) excluding petioles were leaves have petioles M. Name: AvPetioleLength_cm Description: Average length of petiole (cm); only measured for those leaves with petioles N. Name: AvLeafSize_np Description: One-sided projected leaf area (cm^2) excluding petiole where leaves have petioles O. Name: AvLeafSize_wp Description: One-sided projected leaf area (cm^2) including petiole where leaves have petioles P. Name: N_mgg Description: Leaf nitrogen concentration (mg g^-1) of ground lamina only Q. Name: C:N Description: Ratio of leaf carbon to nitrogen R. Name: FPAR Description: Estimate of the fraction of photosynthetically active radiation (FPAR) reaching the leaf (unitless measure ranging from 0 to 1) S. Name: FPARsource Description: Source of the estimate of FPAR (the fraction of photosynthetically active radiation reaching the leaf) S = estimated from sensors L = estimated from line intercept approach