Dataset: Drought response strategies of vascular epiphytes in isolated pasture trees in a Costa Rican tropical montane landscape

Note: This is copied/pasted from the attached Word document. That version may be easier to read.Datasets used in analyses for “Drought response strategies of vascular epiphytes in isolated pasture trees in a Costa Rican tropical montane landscape”. There are 4 combined sap flow/microclimate hourly datasets, 2 microclimate daily datasets, and datasets containing PV curve results, water potential, and leaf traits.<br>Sap flow references: (Burgess <i>et al.</i>, 2001; Clearwater <i>et al.</i>, 2009)PV curve references: (Williams <i>et al.</i>, 2017)Leaf trait references: (Gotsch <i>et al.</i>, 2022)<br><b>Common variables that appear in multiple datasets:</b>· Site (Upper = Ortega, Middle = Guindon, Lower = Zelmi)· Species: 4 letter species code· Ind: Non-unique plant identifier, must be combined with Site and Species for a unique key.· Timestamp: Hourly as y-m-d h:m:s or daily as y-m-d· Season: Dry or Wet· Succulent: Sample comes from leaf succulent species, yes or no· Type: Growth form of sampled individual (Woody single stem, woody multi stem, or herbaceous)<br><b>Sap velocity and microclimate datasets explained</b>· Sap_L4: The complete dataset after cleaning, baselining, and averaging to hourly intervals· Sap_L4a: L4 averaged to the level of species within site· Sap_L5: L4 filtered to the specific wet/dry weeks of interest· Sap_L5a: L5 averaged to the level of species within site<br><b>Sap velocity and microclimate variables:</b>· EpiID: Unique epiphyte identifier consisting of Site letter, tree identifier, and number from 1-16.· Sap.vel: Sap velocity (cm/hr)· LWSup: Leaf wetness (g/m²)· Solar: Solar radiation (W/m²)· VPD: Vapor pressure deficit (Kpa)· VWC.rel: Relative volumetric water content (Proportion)· Precipitation: Water input to pluviometers (mm)<br><b>PV curve variables:</b>· TLP: Turgor loss point (MPa)· totE: Bulk modulus of elasticity (MPa)· CTarea: Hydraulic capacitance before TLP, normalized by fresh area (g m^-2 MPa^-1)<br><b>Water potential variables:</b>· Month (Feb, Mar, or Apr)· Midday: Water potential taken at midday (MPa)· Predawn: Water potential taken at predawn (MPa)· Difference: Difference between midday and predawn measurements (MPa)· TLP_mean: Mean turgor loss point of the species within site, calculated from PV curve data (MPa)· Buffer: Difference between the Midday value and the TLP_mean (MPa)<br><b>Leaf traits:</b>· gmin: Minimum stomatal conductance (mmol m^-2 s^-1)· LDMC: Leaf dry matter content (g g^-1)· SLA: Specific leaf area (cm² g^-1)· Tough: Leaf toughness (g mm^-2)· SD: Stomatal density (# mm^-2)· LT: Leaf thickness (mm)· LWC: Leaf water content (%)· HT: Hydrenchymal thickness (mm)<br><br>References<br><b>Burgess SSO, Adams MA, Turner NC, Beverly CR, Ong CK, Khan AAH, Bleby TM</b>. <b>2001</b>. An improved heat pulse method to measure low and reverse rates of sap flow in woody plants (Tree Physiology 21 (589-598)). <i>Tree Physiology</i> <b>21</b>: 1157.<b>Clearwater MJ, Luo Z, Mazzeo M, Dichio B</b>. <b>2009</b>. An external heat pulse method for measurement of sap flow through fruit pedicels, leaf petioles and other small-diameter stems. <i>Plant, Cell and Environment</i> <b>32</b>: 1652–1663.<b>Gotsch SG, Williams CB, Bicaba R, Cruz-de Hoyos R, Darby A, Davidson K, Dix M, Duarte V, Glunk A, Green L, </b><b><i>et al.</i></b> <b>2022</b>. Trade‑offs between succulent and non‑succulent epiphytes underlie variation in drought tolerance and avoidance. <i>Oecologia</i>.<b>Williams CB, Reese Næsborg R, Dawson TE</b>. <b>2017</b>. Coping with gravity: The foliar water relations of giant sequoia. <i>Tree Physiology</i> <b>37</b>: 1312–1326.