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Title: Soil pH Buffering Capacity, Geochemical Characterization, and Soil Water Retention for Arctic Soils of Seward Peninsula and Utqiagvik, Alaska, 2013-2019

Abstract

This dataset provides pH titration data and soil pH buffering capacities of 21 Arctic soils that were collected between 2013-2019. Geochemical data including soil organic carbon, carbon:nitrogen ratio, initial pH, and gravimetric water content are also reported. Additional measurements of cation exchange capacity and soil water retention (dry range) are presented for selected soils. A script, developed in R, is also included for a simple biogeochemical simulation that incorporates soil pH buffering capacity. This dataset contains 7 csv files and one R script.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation atmore » global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).« less

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo
  1. Oak Ridge National Laboratory
Publication Date:
Other Number(s):
https://doi.org/10.5440/1841590; NGA274
DOE Contract Number:  
AC05-00OR22725
Research Org.:
Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Collaborations:
ORNL
Subject:
54 ENVIRONMENTAL SCIENCES; Alaska; BEO; Barrow; Barrow Environmental Observatory; Barrow, Alaska; C:N; CEC; Carbon:Nitrogen Ratio; Cation Exchange Capacity; Council; Council Road; Council Road mile marker 71; Council, Alaska; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS > ALPINE/TUNDRA > ARCTIC TUNDRA; EARTH SCIENCE > LAND SURFACE > SOILS; EARTH SCIENCE > LAND SURFACE > SOILS > CARBON > SOIL ORGANIC CARBON (SOC); EARTH SCIENCE > LAND SURFACE > SOILS > CATION EXCHANGE CAPACITY; EARTH SCIENCE > LAND SURFACE > SOILS > NITROGEN; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL DEPTH; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL PH; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY; EARTH SCIENCE SERVICES > MODELS; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; Gravimetric Water Content; Initial pH; North Slope; SOC; SWR; Seward Peninsula; Soil Organic Carbon; Soil Water Retention; Soil pH Buffering Capacity; Teller; Teller Road; Teller Road mile marker 27; Teller, Alaska; Utqiagvik, Alaska; pH; theta_g
OSTI Identifier:
1841590
DOI:
https://doi.org/10.5440/1841590

Citation Formats

Berns, Erin, Zheng, Jianqiu, and Graham, David. Soil pH Buffering Capacity, Geochemical Characterization, and Soil Water Retention for Arctic Soils of Seward Peninsula and Utqiagvik, Alaska, 2013-2019. United States: N. p., 2022. Web. doi:10.5440/1841590.
Berns, Erin, Zheng, Jianqiu, & Graham, David. Soil pH Buffering Capacity, Geochemical Characterization, and Soil Water Retention for Arctic Soils of Seward Peninsula and Utqiagvik, Alaska, 2013-2019. United States. doi:https://doi.org/10.5440/1841590
Berns, Erin, Zheng, Jianqiu, and Graham, David. 2022. "Soil pH Buffering Capacity, Geochemical Characterization, and Soil Water Retention for Arctic Soils of Seward Peninsula and Utqiagvik, Alaska, 2013-2019". United States. doi:https://doi.org/10.5440/1841590. https://www.osti.gov/servlets/purl/1841590. Pub date:Fri Apr 08 04:00:00 UTC 2022
@article{osti_1841590,
title = {Soil pH Buffering Capacity, Geochemical Characterization, and Soil Water Retention for Arctic Soils of Seward Peninsula and Utqiagvik, Alaska, 2013-2019},
author = {Berns, Erin and Zheng, Jianqiu and Graham, David},
abstractNote = {This dataset provides pH titration data and soil pH buffering capacities of 21 Arctic soils that were collected between 2013-2019. Geochemical data including soil organic carbon, carbon:nitrogen ratio, initial pH, and gravimetric water content are also reported. Additional measurements of cation exchange capacity and soil water retention (dry range) are presented for selected soils. A script, developed in R, is also included for a simple biogeochemical simulation that incorporates soil pH buffering capacity. This dataset contains 7 csv files and one R script.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).},
doi = {10.5440/1841590},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Apr 08 04:00:00 UTC 2022},
month = {Fri Apr 08 04:00:00 UTC 2022}
}