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Title: PiTS-1: Carbon Partitioning in Loblolly Pine after 13C Labeling and Shade Treatments

Abstract

The Partitioning in Trees and Soil (PiTS) task was established with the objective of improving the C partitioning routines in existing ecosystem models by exploring mechanistic model representations of partitioning tested against field observations. We used short-term field manipulations of C flow, through 13CO2 labeling, canopy shading and stem girdling, to dramatically alter C partitioning, and resultant data are being used to test model representation of C partitioning processes in the Community Land Model (CLM4 or CLM4.5). The research was conducted on individual trees within a small existing stand of planted Pinus taeda L.(loblolly pine) on the University of Tennessee Forest Resources Research and Education Center in Oak Ridge, Tennessee.

Creator(s)/Author(s):
ORCiD logo ; ORCiD logo ; ; ORCiD logo ; ; ; ; ORCiD logo ; ORCiD logo ; ORCiD logo
Publication Date:
DOE Contract Number:  
AC5207NA27344
Product Type:
Dataset
Research Org.:
ORNLTESSFA (Oak Ridge National Lab's Terrestrial Ecosystem Science Scientific Focus Area (ORNL TES SFA))
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23). Climate and Environmental Sciences Division
Subject:
54 ENVIRONMENTAL SCIENCES
Keywords:
tree growth, root biomass, sap flow, leaf water potential, foliage light response curves, A-Ci curves, foliar nitrogen, carbon, leaf mass per area, surface soil CO2 efflux
OSTI Identifier:
1389507
DOI:
10.3334/CDIAC/ORNLSFA.001

Citation Formats

Warren, J. M., Iversen, C. M., Garten, Jr., C. T., Norby, R. J., Childs, J., Brice, D., Evans, R. M., Gu, L., Thornton, P., and Weston, D. J. PiTS-1: Carbon Partitioning in Loblolly Pine after 13C Labeling and Shade Treatments. United States: N. p., 2013. Web. doi:10.3334/CDIAC/ORNLSFA.001.
Warren, J. M., Iversen, C. M., Garten, Jr., C. T., Norby, R. J., Childs, J., Brice, D., Evans, R. M., Gu, L., Thornton, P., & Weston, D. J. PiTS-1: Carbon Partitioning in Loblolly Pine after 13C Labeling and Shade Treatments. United States. doi:10.3334/CDIAC/ORNLSFA.001.
Warren, J. M., Iversen, C. M., Garten, Jr., C. T., Norby, R. J., Childs, J., Brice, D., Evans, R. M., Gu, L., Thornton, P., and Weston, D. J. 2013. "PiTS-1: Carbon Partitioning in Loblolly Pine after 13C Labeling and Shade Treatments". United States. doi:10.3334/CDIAC/ORNLSFA.001. https://www.osti.gov/servlets/purl/1389507. Pub date:Tue Apr 23 00:00:00 EDT 2013
@article{osti_1389507,
title = {PiTS-1: Carbon Partitioning in Loblolly Pine after 13C Labeling and Shade Treatments},
author = {Warren, J. M. and Iversen, C. M. and Garten, Jr., C. T. and Norby, R. J. and Childs, J. and Brice, D. and Evans, R. M. and Gu, L. and Thornton, P. and Weston, D. J.},
abstractNote = {The Partitioning in Trees and Soil (PiTS) task was established with the objective of improving the C partitioning routines in existing ecosystem models by exploring mechanistic model representations of partitioning tested against field observations. We used short-term field manipulations of C flow, through 13CO2 labeling, canopy shading and stem girdling, to dramatically alter C partitioning, and resultant data are being used to test model representation of C partitioning processes in the Community Land Model (CLM4 or CLM4.5). The research was conducted on individual trees within a small existing stand of planted Pinus taeda L.(loblolly pine) on the University of Tennessee Forest Resources Research and Education Center in Oak Ridge, Tennessee.},
doi = {10.3334/CDIAC/ORNLSFA.001},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {4}
}

Works referenced in this record:

PiTS-1: Carbon Partitioning in Loblolly Pine after 13C Labeling and Shade Treatments
dataset, January 2013


    Works referencing / citing this record:

    Walker Branch Watershed: Temperature Response of Organic-Matter Decomposition in Headwater Stream
    dataset, January 2016

    • Griffiths, Natalie; Tiegs, Scott
    • TES-SFA - Terrestrial Ecosystem Science Scientific Focus Area, 1 ZIP file (22 KB)
    • DOI: 10.3334/cdiac/ornlsfa.003