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Title: Observational needs for estimating Alaskan soil carbon stocks under current and future climate

Abstract

Representing land surface spatial heterogeneity when designing observation networks is a critical scientific challenge. Here we present a geospatial approach that utilizes the multivariate spatial heterogeneity of soil-forming factors—namely, climate, topography, land cover types, and surficial geology—to identify observation sites to improve soil organic carbon (SOC) stock estimates across the State of Alaska, USA. Standard deviations in existing SOC samples indicated that 657, 870, and 906 randomly distributed pedons would be required to quantify the average SOC stocks for 0–1 m, 0–2 m, and whole-profile depths, respectively, at a confidence interval of 5 kg C m -2. Using the spatial correlation range of existing SOC samples, we identified that 309, 446, and 484 new observation sites are needed to estimate current SOC stocks to 1 m, 2 m, and whole-profile depths, respectively. We also investigated whether the identified sites might change under future climate by using eight decadal (2020–2099) projections of precipitation, temperature, and length of growing season for three representative concentration pathway (RCP 4.5, 6.0, and 8.5) scenarios of the Intergovernmental Panel on Climate Change. These analyses determined that 12 to 41 additional sites (906 + 12 to 41; depending upon the emission scenarios) would be needed to capturemore » the impact of future climate on Alaskan whole-profile SOC stocks by 2100. The identified observation sites represent spatially distributed locations across Alaska that captures the multivariate heterogeneity of soil-forming factors under current and future climatic conditions. This information is needed for designing monitoring networks and benchmarking of Earth system model results.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2];  [2];  [3]
  1. Univ. of Peradeniya (Sri Lanka)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
  3. Argonne National Lab. (ANL), Argonne, IL (United States); USDA-ARS Jornada Experimental Range, Las Cruces, NM (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1344316
Alternate Identifier(s):
OSTI ID: 1344317; OSTI ID: 1392295
Grant/Contract Number:  
AC02-06CH11357; DE‐AC02‐06CH11357
Resource Type:
Journal Article: Published Article
Journal Name:
Journal of Geophysical Research. Biogeosciences
Additional Journal Information:
Journal Volume: 122; Journal Issue: 2; Journal ID: ISSN 2169-8953
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 54 ENVIRONMENTAL SCIENCES; Permafrost; Sampling; Soil organic carbon; Spatial heterogeneity

Citation Formats

Vitharana, U. W. A., Mishra, U., Jastrow, J. D., Matamala, R., and Fan, Z. Observational needs for estimating Alaskan soil carbon stocks under current and future climate. United States: N. p., 2017. Web. doi:10.1002/2016JG003421.
Vitharana, U. W. A., Mishra, U., Jastrow, J. D., Matamala, R., & Fan, Z. Observational needs for estimating Alaskan soil carbon stocks under current and future climate. United States. doi:10.1002/2016JG003421.
Vitharana, U. W. A., Mishra, U., Jastrow, J. D., Matamala, R., and Fan, Z. Tue . "Observational needs for estimating Alaskan soil carbon stocks under current and future climate". United States. doi:10.1002/2016JG003421.
@article{osti_1344316,
title = {Observational needs for estimating Alaskan soil carbon stocks under current and future climate},
author = {Vitharana, U. W. A. and Mishra, U. and Jastrow, J. D. and Matamala, R. and Fan, Z.},
abstractNote = {Representing land surface spatial heterogeneity when designing observation networks is a critical scientific challenge. Here we present a geospatial approach that utilizes the multivariate spatial heterogeneity of soil-forming factors—namely, climate, topography, land cover types, and surficial geology—to identify observation sites to improve soil organic carbon (SOC) stock estimates across the State of Alaska, USA. Standard deviations in existing SOC samples indicated that 657, 870, and 906 randomly distributed pedons would be required to quantify the average SOC stocks for 0–1 m, 0–2 m, and whole-profile depths, respectively, at a confidence interval of 5 kg C m-2. Using the spatial correlation range of existing SOC samples, we identified that 309, 446, and 484 new observation sites are needed to estimate current SOC stocks to 1 m, 2 m, and whole-profile depths, respectively. We also investigated whether the identified sites might change under future climate by using eight decadal (2020–2099) projections of precipitation, temperature, and length of growing season for three representative concentration pathway (RCP 4.5, 6.0, and 8.5) scenarios of the Intergovernmental Panel on Climate Change. These analyses determined that 12 to 41 additional sites (906 + 12 to 41; depending upon the emission scenarios) would be needed to capture the impact of future climate on Alaskan whole-profile SOC stocks by 2100. The identified observation sites represent spatially distributed locations across Alaska that captures the multivariate heterogeneity of soil-forming factors under current and future climatic conditions. This information is needed for designing monitoring networks and benchmarking of Earth system model results.},
doi = {10.1002/2016JG003421},
journal = {Journal of Geophysical Research. Biogeosciences},
issn = {2169-8953},
number = 2,
volume = 122,
place = {United States},
year = {2017},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1002/2016JG003421

Citation Metrics:
Cited by: 4 works
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