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Title: Data used in: "Salinity exposure affects lower-canopy specific leaf area of upland trees in a coastal deciduous forest"

Abstract

We conducted an observational study of SLA in a mid-Atlantic (USA) coastal deciduous forest, taking advantage of a natural gradient in salinity along a tidal creek. Measured SLA of the 239 trees and seven species sampled ranged from Carya glabra (N = 6 trees, mean SLA = 277.9 ± 36.3 cm2 g-1) to Fagus grandifolia (N = 60, 321.9 ± 62.9 cm2 g-1). This work is in press at Forest Ecology and Management.This dataset has two files, "sla_data.csv" (the data) and "sla_metadata.txt" (the metadata). Both are plain-text files and can be read by most software such as text editors, R, Python, Excel, etc. The data file is comma-separated values with 11 columns and 239 rows of data. The metadata file has 11 rows, one for each data column, and giving a plain-text description for each column and any associated units.

Authors:
ORCiD logo ; ; ORCiD logo ; ; ;
  1. Pacific Northwest National Laboratory (PNNL); Pacific Northwest National Laboratory (PNNL)
  2. Pacific Northwest National Laboratory (PNNL)
  3. Smithsonian Environmental Research Center
Publication Date:
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem; COMPASS-FME
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOSPHERE > VEGETATION > LEAF CHARACTERISTICS > LEAF AREA INDEX (LAI); Specific Leaf Area (SLA); leaf; leaf area index; specific leaf area
OSTI Identifier:
1998945
DOI:
https://doi.org/10.15485/1998945

Citation Formats

Bond-Lamberty, Ben, Haddock, Lillie, Pennington, Stephanie, Sezen, Uğur Uzay, Shue, Jessica, and Megonigal, J. Patrick. Data used in: "Salinity exposure affects lower-canopy specific leaf area of upland trees in a coastal deciduous forest". United States: N. p., 2022. Web. doi:10.15485/1998945.
Bond-Lamberty, Ben, Haddock, Lillie, Pennington, Stephanie, Sezen, Uğur Uzay, Shue, Jessica, & Megonigal, J. Patrick. Data used in: "Salinity exposure affects lower-canopy specific leaf area of upland trees in a coastal deciduous forest". United States. doi:https://doi.org/10.15485/1998945
Bond-Lamberty, Ben, Haddock, Lillie, Pennington, Stephanie, Sezen, Uğur Uzay, Shue, Jessica, and Megonigal, J. Patrick. 2022. "Data used in: "Salinity exposure affects lower-canopy specific leaf area of upland trees in a coastal deciduous forest"". United States. doi:https://doi.org/10.15485/1998945. https://www.osti.gov/servlets/purl/1998945. Pub date:Sat Dec 31 23:00:00 EST 2022
@article{osti_1998945,
title = {Data used in: "Salinity exposure affects lower-canopy specific leaf area of upland trees in a coastal deciduous forest"},
author = {Bond-Lamberty, Ben and Haddock, Lillie and Pennington, Stephanie and Sezen, Uğur Uzay and Shue, Jessica and Megonigal, J. Patrick},
abstractNote = {We conducted an observational study of SLA in a mid-Atlantic (USA) coastal deciduous forest, taking advantage of a natural gradient in salinity along a tidal creek. Measured SLA of the 239 trees and seven species sampled ranged from Carya glabra (N = 6 trees, mean SLA = 277.9 ± 36.3 cm2 g-1) to Fagus grandifolia (N = 60, 321.9 ± 62.9 cm2 g-1). This work is in press at Forest Ecology and Management.This dataset has two files, "sla_data.csv" (the data) and "sla_metadata.txt" (the metadata). Both are plain-text files and can be read by most software such as text editors, R, Python, Excel, etc. The data file is comma-separated values with 11 columns and 239 rows of data. The metadata file has 11 rows, one for each data column, and giving a plain-text description for each column and any associated units.},
doi = {10.15485/1998945},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Dec 31 23:00:00 EST 2022},
month = {Sat Dec 31 23:00:00 EST 2022}
}