Plot-level soil temperature and moisture data for a tropical forest understory warming experiment (TRACE) in Luquillo, Puerto Rico, 2015-2023
Abstract
The Tropical Responses to Altered Climate Experiment (TRACE) is a forest understory warming experiment aimed at understanding how increased temperature and disturbance affect carbon cycling and ecosystem processes in tropical forests. This dataset contains plot-level soil temperature and moisture data from six experimental plots at TRACE; three plots are experimentally warmed with infrared heaters to a target understory temperature of 4˚C above ambient, and three plots are un-warmed control plots. Each plot has five Campbell Scientific CS655 soil sensors: three at a depth of 0-10 cm, one at a depth of 20-30 cm, and another at a depth of 40-50 cm. Data in this package were cleaned and formatted to include information about sensor location within the plots. This data package contains one CSV file per year from October 2015 to December 2023, for a total of nine data files, as well as a data dictionary describing the variables.
- Authors:
-
- USDA Forest Service, International Institute of Tropical Forestry; USDA Forest Service, International Institute of Tropical Forestry
- Michigan Technological University
- U.S. Geological Survey
- Publication Date:
- DOE Contract Number:
- SC0018942; 89243018SSC000014; 89243018SSC000017; SC0011806; SC0012000
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; Effects of Hurricane Disturbance and Increased Temperature on Carbon Cycling and Storage of a Puerto Rican Forest: A Mechanistic Investigation of Above- and Belowground Processes
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER); National Science Foundation (NSF)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL TEMPERATURE; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; El Yunque National Forest; Luquillo Experimental Forest; Puerto Rico; Sabana Field Research Station; TRACE; climate change; experimental warming; tropical forest
- OSTI Identifier:
- 2478050
- DOI:
- https://doi.org/10.15485/2478050
Citation Formats
Wood, Tana E., Cavaleri, Molly A., and Reed, Sasha C. Plot-level soil temperature and moisture data for a tropical forest understory warming experiment (TRACE) in Luquillo, Puerto Rico, 2015-2023. United States: N. p., 2023.
Web. doi:10.15485/2478050.
Wood, Tana E., Cavaleri, Molly A., & Reed, Sasha C. Plot-level soil temperature and moisture data for a tropical forest understory warming experiment (TRACE) in Luquillo, Puerto Rico, 2015-2023. United States. doi:https://doi.org/10.15485/2478050
Wood, Tana E., Cavaleri, Molly A., and Reed, Sasha C. 2023.
"Plot-level soil temperature and moisture data for a tropical forest understory warming experiment (TRACE) in Luquillo, Puerto Rico, 2015-2023". United States. doi:https://doi.org/10.15485/2478050. https://www.osti.gov/servlets/purl/2478050. Pub date:Sun Dec 31 23:00:00 EST 2023
@article{osti_2478050,
title = {Plot-level soil temperature and moisture data for a tropical forest understory warming experiment (TRACE) in Luquillo, Puerto Rico, 2015-2023},
author = {Wood, Tana E. and Cavaleri, Molly A. and Reed, Sasha C.},
abstractNote = {The Tropical Responses to Altered Climate Experiment (TRACE) is a forest understory warming experiment aimed at understanding how increased temperature and disturbance affect carbon cycling and ecosystem processes in tropical forests. This dataset contains plot-level soil temperature and moisture data from six experimental plots at TRACE; three plots are experimentally warmed with infrared heaters to a target understory temperature of 4˚C above ambient, and three plots are un-warmed control plots. Each plot has five Campbell Scientific CS655 soil sensors: three at a depth of 0-10 cm, one at a depth of 20-30 cm, and another at a depth of 40-50 cm. Data in this package were cleaned and formatted to include information about sensor location within the plots. This data package contains one CSV file per year from October 2015 to December 2023, for a total of nine data files, as well as a data dictionary describing the variables.},
doi = {10.15485/2478050},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Dec 31 23:00:00 EST 2023},
month = {Sun Dec 31 23:00:00 EST 2023}
}
