Porewater data across a catena in the Luquillo Experimental Forest, Puerto Rico.
Abstract
Landscape topography can influence biogeochemical processes in wet tropical forest soils. This dataset contains porewater concentrations of organic acid (acetate) from 2018 (February 22 to November 14) across a catena in the Luquillo Experimental Forest (LEF), Puerto Rico. The attached CSV file contains information on sampling date, location (El Verde field station) in LEF, topographic positions (ridge, slope, and valley, respectively), depth (unit: cm), and acetate concentration (unit: µM). Porewater concentrations of acetate were lower in the valley as compared to the ridge and slope topographic positions. This dataset can facilitate our understanding of the biogeochemical cycling of carbon and nutrient associated with complex topography in wet tropical forest soils.
- Authors:
-
- Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA; Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, 03824, USA
- Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
- Department of Biology, Boston University, Boston, MA, 02215, USA
- Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
- Publication Date:
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; A Comprehensive Framework for Modeling Emissions from Tropical Soils and Wetlands
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > LAND SURFACE > POREWATER; EARTH SCIENCE > LAND SURFACE > POREWATER > ACETATE; EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY; EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY>ORGANIC ACID
- OSTI Identifier:
- 1618869
- DOI:
- https://doi.org/10.15485/1618869
Citation Formats
Sihi, Debjani, López-Lloreda, Carla, M. Brenner, Julia, K. Quinn, Ryan, R. Phillips, Jana, D. Newman, Brent, and Mayes, Melanie. Porewater data across a catena in the Luquillo Experimental Forest, Puerto Rico.. United States: N. p., 2019.
Web. doi:10.15485/1618869.
Sihi, Debjani, López-Lloreda, Carla, M. Brenner, Julia, K. Quinn, Ryan, R. Phillips, Jana, D. Newman, Brent, & Mayes, Melanie. Porewater data across a catena in the Luquillo Experimental Forest, Puerto Rico.. United States. doi:https://doi.org/10.15485/1618869
Sihi, Debjani, López-Lloreda, Carla, M. Brenner, Julia, K. Quinn, Ryan, R. Phillips, Jana, D. Newman, Brent, and Mayes, Melanie. 2019.
"Porewater data across a catena in the Luquillo Experimental Forest, Puerto Rico.". United States. doi:https://doi.org/10.15485/1618869. https://www.osti.gov/servlets/purl/1618869. Pub date:Tue Dec 31 23:00:00 EST 2019
@article{osti_1618869,
title = {Porewater data across a catena in the Luquillo Experimental Forest, Puerto Rico.},
author = {Sihi, Debjani and López-Lloreda, Carla and M. Brenner, Julia and K. Quinn, Ryan and R. Phillips, Jana and D. Newman, Brent and Mayes, Melanie},
abstractNote = {Landscape topography can influence biogeochemical processes in wet tropical forest soils. This dataset contains porewater concentrations of organic acid (acetate) from 2018 (February 22 to November 14) across a catena in the Luquillo Experimental Forest (LEF), Puerto Rico. The attached CSV file contains information on sampling date, location (El Verde field station) in LEF, topographic positions (ridge, slope, and valley, respectively), depth (unit: cm), and acetate concentration (unit: µM). Porewater concentrations of acetate were lower in the valley as compared to the ridge and slope topographic positions. This dataset can facilitate our understanding of the biogeochemical cycling of carbon and nutrient associated with complex topography in wet tropical forest soils.},
doi = {10.15485/1618869},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 23:00:00 EST 2019},
month = {Tue Dec 31 23:00:00 EST 2019}
}
