Soil chemistry data across a catena in the Luquillo Experimental Forest, Puerto Rico
Abstract
Landscape topography can influence biogeochemical processes across the wet tropical forest soils. This dataset contains soil chemistry data such as pH and dissolved organic carbon (DOC) from April 1, 2017 to May 1, 2018 across a catena in the Luquillo Experimental Forest, 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), field replicate number, laboratory replicate number, water extractable pH, CaCl2 extractable pH, and DOC (unit: mg/g). Overall, soil pH values were highest in the valley, followed by slope, and lowest in the ridge topographic positions. However, DOC values followed the opposite trend: ridge>slope>valley. 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
- 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 > SOIL; EARTH SCIENCE > LAND SURFACE > SOIL > DISSOLVED ORGANIC CARBON; EARTH SCIENCE > LAND SURFACE > SOIL > WATER SOLUBLE CARBON FRACTION; EARTH SCIENCE > LAND SURFACE > SOIL > pH; EARTH SCIENCE > LAND SURFACE > SOIL ACIDITY; EARTH SCIENCE > LAND SURFACE > SOIL CHEMISTRY
- OSTI Identifier:
- 1618870
- DOI:
- https://doi.org/10.15485/1618870
Citation Formats
Sihi, Debjani, López-Lloreda, Carla, M. Brenner, Julia, K. Quinn, Ryan, R. Phillips, Jana, and Mayes, Melanie. Soil chemistry data across a catena in the Luquillo Experimental Forest, Puerto Rico. United States: N. p., 2020.
Web. doi:10.15485/1618870.
Sihi, Debjani, López-Lloreda, Carla, M. Brenner, Julia, K. Quinn, Ryan, R. Phillips, Jana, & Mayes, Melanie. Soil chemistry data across a catena in the Luquillo Experimental Forest, Puerto Rico. United States. doi:https://doi.org/10.15485/1618870
Sihi, Debjani, López-Lloreda, Carla, M. Brenner, Julia, K. Quinn, Ryan, R. Phillips, Jana, and Mayes, Melanie. 2020.
"Soil chemistry data across a catena in the Luquillo Experimental Forest, Puerto Rico". United States. doi:https://doi.org/10.15485/1618870. https://www.osti.gov/servlets/purl/1618870. Pub date:Wed Jan 01 04:00:00 UTC 2020
@article{osti_1618870,
title = {Soil chemistry 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 Mayes, Melanie},
abstractNote = {Landscape topography can influence biogeochemical processes across the wet tropical forest soils. This dataset contains soil chemistry data such as pH and dissolved organic carbon (DOC) from April 1, 2017 to May 1, 2018 across a catena in the Luquillo Experimental Forest, 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), field replicate number, laboratory replicate number, water extractable pH, CaCl2 extractable pH, and DOC (unit: mg/g). Overall, soil pH values were highest in the valley, followed by slope, and lowest in the ridge topographic positions. However, DOC values followed the opposite trend: ridge>slope>valley. This dataset can facilitate our understanding of the biogeochemical cycling of carbon and nutrient associated with complex topography in wet tropical forest soils.},
doi = {10.15485/1618870},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 04:00:00 UTC 2020},
month = {Wed Jan 01 04:00:00 UTC 2020}
}
