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Soil chemistry data across a catena in the Luquillo Experimental Forest, Puerto Rico

Dataset ·
DOI:https://doi.org/10.15485/1618870· OSTI ID:1618870
 [1];  [2];  [3];  [4];  [3];  [3]
  1. 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
  2. Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, 03824, USA
  3. Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
  4. Department of Biology, Boston University, Boston, MA, 02215, USA
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.
Research Organization:
Environmental System Science Data Infrastructure for a Virtual Ecosystem; A Comprehensive Framework for Modeling Emissions from Tropical Soils and Wetlands
Sponsoring Organization:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
OSTI ID:
1618870
Country of Publication:
United States
Language:
English