Soil biogeochemical properties and metrics of tree-mycorrhizal dominance for a 25-Ha forest in South Central Indiana, USA.
Abstract
This data package contains a dataset used in the papers “Seeing the forest for all the trees: Mycorrhizal-associated nutrient economies are modulated by stem density and the synchrony between overstory and understory communities” and “Mycorrhizal associations of tree species influence soil nitrogen dynamics via effects on soil acid–base chemistry”. Four csv files are included along with a dataset. The dataset features chemical soil properties for a single sampling campaign within the 25 Ha Lilly-Dickey Woods Smithsonian Forest Global Earth Observatory (ForestGEO) plot in South Central Indiana, USA (ldw_dat_raw.csv). Also included are separate files focused on pH (pH_data.csv), carbon and nitrogen (CN_data.csv), and nitrification rates (Nitrification_data.csv). These variables are commonly associated with the tree-mycorrhizal dominance of forest stands. In these data subsets, each soil variable was matched to a 10 meter radius neighborhood wherein metrics of tree-mycorrhizal dominance (basal area, stem count, importance value, etc.) were calculated. Models between these soil variables and dominance metrics were used to investigate how different assessments of mycorrhizal associated nutrient economies (MANE) capture these relationships. This research was performed as a part of the Smithsonian ForestGEO project. This data package can be used to explore spatial variability in soil chemistry within a mature hardwood forest,more »
- Authors:
-
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Indiana Univ., Bloomington, IN (United States)
- Univ. of Florida, Gainesville, FL (United States)
- Tulane Univ., New Orleans, LA (United States)
- Publication Date:
- Other Number(s):
- ornlsfa.200
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- ORNL Terrestrial Ecosystem Science SFA
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOSPHERE > VEGETATION; EARTH SCIENCE > BIOSPHERE > VEGETATION > DECIDUOUS VEGETATION; EARTH SCIENCE > BIOSPHERE > VEGETATION > DOMINANT SPECIES; EARTH SCIENCE > BIOSPHERE > VEGETATION > FOREST COMPOSITION/VEGETATION STRUCTURE; EARTH SCIENCE > LAND SURFACE > SOILS; EARTH SCIENCE > LAND SURFACE > SOILS > CALCIUM; EARTH SCIENCE > LAND SURFACE > SOILS > CARBON; EARTH SCIENCE > LAND SURFACE > SOILS > MAGNESIUM; EARTH SCIENCE > LAND SURFACE > SOILS > NITROGEN; EARTH SCIENCE > LAND SURFACE > SOILS > PHOSPHORUS; EARTH SCIENCE > LAND SURFACE > SOILS > POTASSIUM; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL CHEMISTRY; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL PH; EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY; EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > BIOGEOCHEMICAL PROCESSES > NITRIFICATION; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format
- OSTI Identifier:
- 2588765
- DOI:
- https://doi.org/10.15485/2588765
Citation Formats
Craig, Matthew, Weiler, Adam, Johnson, Daniel, Clay, Keith, and Phillips, Richard. Soil biogeochemical properties and metrics of tree-mycorrhizal dominance for a 25-Ha forest in South Central Indiana, USA.. United States: N. p., 2024.
Web. doi:10.15485/2588765.
Craig, Matthew, Weiler, Adam, Johnson, Daniel, Clay, Keith, & Phillips, Richard. Soil biogeochemical properties and metrics of tree-mycorrhizal dominance for a 25-Ha forest in South Central Indiana, USA.. United States. doi:https://doi.org/10.15485/2588765
Craig, Matthew, Weiler, Adam, Johnson, Daniel, Clay, Keith, and Phillips, Richard. 2024.
"Soil biogeochemical properties and metrics of tree-mycorrhizal dominance for a 25-Ha forest in South Central Indiana, USA.". United States. doi:https://doi.org/10.15485/2588765. https://www.osti.gov/servlets/purl/2588765. Pub date:Tue Dec 31 23:00:00 EST 2024
@article{osti_2588765,
title = {Soil biogeochemical properties and metrics of tree-mycorrhizal dominance for a 25-Ha forest in South Central Indiana, USA.},
author = {Craig, Matthew and Weiler, Adam and Johnson, Daniel and Clay, Keith and Phillips, Richard},
abstractNote = {This data package contains a dataset used in the papers “Seeing the forest for all the trees: Mycorrhizal-associated nutrient economies are modulated by stem density and the synchrony between overstory and understory communities” and “Mycorrhizal associations of tree species influence soil nitrogen dynamics via effects on soil acid–base chemistry”. Four csv files are included along with a dataset. The dataset features chemical soil properties for a single sampling campaign within the 25 Ha Lilly-Dickey Woods Smithsonian Forest Global Earth Observatory (ForestGEO) plot in South Central Indiana, USA (ldw_dat_raw.csv). Also included are separate files focused on pH (pH_data.csv), carbon and nitrogen (CN_data.csv), and nitrification rates (Nitrification_data.csv). These variables are commonly associated with the tree-mycorrhizal dominance of forest stands. In these data subsets, each soil variable was matched to a 10 meter radius neighborhood wherein metrics of tree-mycorrhizal dominance (basal area, stem count, importance value, etc.) were calculated. Models between these soil variables and dominance metrics were used to investigate how different assessments of mycorrhizal associated nutrient economies (MANE) capture these relationships. This research was performed as a part of the Smithsonian ForestGEO project. This data package can be used to explore spatial variability in soil chemistry within a mature hardwood forest, or it can be combined with the included tree data, other fine-scale spatial information, or other tree inventory data for the site to evaluate how soil chemistry varies with tree community composition or edaphic or topographic properties.On 2025-11-20, additional metadata were provided for this dataset: four data dictionaries and a file-level metadata file in comma separate (.csv) format.},
doi = {10.15485/2588765},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 23:00:00 EST 2024},
month = {Tue Dec 31 23:00:00 EST 2024}
}
