This Yu_README_20190214.txt file was generated on 20190214 by Kailing Yu and Daureen Nesdill Links to Publication field updated 20211209 DN ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Data to support: Phylogenetic and biogeographic controls of plant nighttime stomatal conductance 2. Author Information Principal Investigator Contact Information Name: William Anderegg Institution: University of Utah Address: 257 South 1400 East, Rm. 201, Salt Lake City, UT 84112-0840 Email: anderegg@utah.edu Associate or Co-investigator Contact Information Name: Kailiang Yu Institution: University of Utah Address: 257 South 1400 East, Rm. 201, Salt Lake City, UT 84112-0840 Email: ky9hc@virginia.edu Alternate Contact Information Name: Institution: Address: Email: 3. Date of data collection (single date, range, approximate date) 05/2018-08/2018 4. Geographic location of data collection (where was data collected?): Red Butte Garden in Salt Lake City, Utah 5. Information about funding sources that supported the collection of the data: David and Lucille Packard Foundation, the University of Utah Global Change and Sustainability Center, NSF Grants 1714972 and 1802880, and the USDA National Institute of Food and Agriculture, Agricultural and Food Research Initiative Competitive Programme, Ecosystem Services and Agro-ecosystem Management, grant no. 2018-67019-27850 -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: No 2. Links to publications that cite or use the data: Yu, K., Goldsmith, G.R., Wang, Y. and Anderegg, W.R.L. (2019), Phylogenetic and biogeographic controls of plant nighttime stomatal conductance. New Phytol, 222: 1778-1788. https://doi.org/10.1111/nph.15755 3. Links to other publicly accessible locations of the data: None 4. Links/relationships to ancillary data sets: None 5. Was data derived from another source? If yes, list source(s): No 6. Recommended citation for the data: Kailiang Yu and Willian Anderegg, 2019, Data to support: Phylogenetic and biogeographic controls of plant nighttime stomatal conductance. The Hive: University of Utah Research Data Repository. https://doi:10.7278/S50D-E9J1-NYG0 --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: Night_gs_data_final.xlsx Short description: B. Filename: Short description: C. Filename: Short description: 2. Relationship between files: 3. Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? yes/no If yes, list versions: Name of file that was updated: i. Why was the file updated? ii. When was the file updated? Name of file that was updated: i. Why was the file updated? ii. When was the file updated? No -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Nighttime gas exchange was measured for each individual plant using a LI-6800 (Li-Cor, Inc., Lincoln, NE, USA) with the 6 cm2 leaf chamber (circle; radius = 1.38 cm) in a closed system mode. These measurements were conducted on several continuous clear nights (4-5) to ensure similar climate for each sampling event. Sampling was carried out once a month from May to August. For all of the analyses in this study, we used the measurements from one sampling event (4-5 days) during June because it best captured the gsn max of all species. A circadian rhythm in gsn has been observed in some species (Caird et al. 2007; Ogle et al. 2012; Resco de Diosa & Gessler, 2018), with a gradual increase of gsn after midnight and maximum values during predawn hours. Thus, to approximately estimate the maximum gsn across a large sample size of species, nighttime gas exchange measurements were made 2-3 h before dawn. We present the maximum gsn observed, the magnitude of which is quite low relative to daytime gs, but provides a useful species-level trait similar to daytime maximum stomatal conductance (e.g. Oren et al. 1999). We took the maximum gsn for each of the three individual plants of a species and then averaged. Thus, the mean of maximum gsn over three individual plants across species was used for analyses. This allowed for less uncertainty in measurements of gsn over a large sample size of species. During the measurements, reference CO2 was set to 400 mol mol-1, while VPD and temperature tracked ambient. To reduce the bias of data recording (logging), the same standard of judging the stability of gas exchange data was used. We monitored the gsn and took the measurement when the slope of gsn vs. time was smaller than 0.0015 mol m-2 s-2. For some species with small or (semi)cylinder shaped leaves that do not completely cover the leaf chamber area, the net gas exchange rate (stomatal conductance and respiration) was determined as G = Gr × 6/S, where Gr is the recorded value of the net gas exchange rate by LI-6800 and S is the surface area (cm2) of the leaf (Table S1 in the published paper). 2. Methods for processing the data: The maximum nighttime stomata conductance (gsn) for each of the individuals (n =3) of a species were averaged. Then, the mean of maximum gsn over individuals across species was used for analyses. 3. Instrument- or software-specific information needed to interpret the data: the hierarchical Bayesian models needed to interpret the data and the procedure. 4. Standards and calibration information, if appropriate: During the measurements, reference CO2 was set to 400 mol mol-1, while VPD and temperature tracked ambient. To reduce the bias of data recording (logging), the same standard of judging the stability of gas exchange data was used. We monitored the gsn and took the measurement when the slope of gsn vs. time was smaller than 0.0015 mol m-2 s-2. For some species with small or (semi)cylinder shaped leaves that do not completely cover the leaf chamber area, the net gas exchange rate (stomatal conductance and respiration) was determined as G = Gr × 6/S, where Gr is the recorded value of the net gas exchange rate by LI-6800 and S is the surface area (cm2) of the leaf (Table S1). 5. Environmental/experimental conditions: Natural; Nighttime gas exchange was measured for each individual plant using a LI-6800 (Li-Cor, Inc., Lincoln, NE, USA) with the 6 cm2 leaf chamber (circle; radius = 1.38 cm) in a closed system mode. These measurements were conducted on several continuous clear nights (4-5) to ensure similar climate for each sampling event. Sampling was carried out once a month from May to August. For all of the analyses in this study, we used the measurements from one sampling event during June because it best captured the gsn max of all species. 6. Describe any quality-assurance procedures performed on the data: To reduce the bias of data recording (logging), the same standard of judging the stability of gas exchange data was used. We monitored the gsn and took the measurement when the slope of gsn vs. time was smaller than 0.0015 mol m-2 s-2. 7. People involved with sample collection, processing, analysis and/or submission: Kailiang Yu, Yujie Wang and William Anderegg collected the data; Kailiang Yu processed and analyzed the data and submitted the paper ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: [FILENAME] ----------------------------------------- 1. Number of variables: Species, Life_Form, Number of Observations, Köppen Climate, Climate Biome, Native Continent, Night gs 2. Number of cases/rows: 73 3. Variable List A. Name: Species Description: This describes the species name we sampled; Species names were confirmed with the Taxonomic Name Resolution Service (TNRS; Boyle et al. 2013).] B. Name: [Life_Form] Description: This describes life form for each species; life forms (i.e., trees, shrubs, grasses, and forbs) were determined based on Engemann et al. (2016). C. Name: Number of Observations from GBIF (https://www.gbif.org/) Description: This describes the number of observations in term of species distribution in native climate for each species. In other words, it refers to the number of occurrences of each species in the native environments derived from GBIF database. These observations are used to derive the native climate for each species sampled at Red Butte Garden in which night time stomata conductance (gsn) is measured. Then The hierarchical Bayesian model was used to investigate the controls of native climate on gsn. D. Name: Köppen Climate Description: This describes Köppen Climate classification system used to define each species into the native climate biome. For each variable, see the reference by Peel et al. (2007).https://doi.org/10.5194/hess-11-1633-2007 E. Name: Climate Biome Description: This describes the native climate biome in which each species is located. TeW: temperate wet; TeD: temperate dry; Bo: boreal F. Name: Native Continent Description: This describes the native continent derived from GBIF where each species sampled in Red Butte Garden originated. G. Name: Night gs Description: This describes maximum of night time stomata conductance measured for each of three plants per species. An average was calulated and that value was used to examine its phylogenetic and biogeographic controls. 4. Missing data codes: Code/symbol Definition Code/symbol Definition 5. Specialized formats of other abbreviations used