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Title: Constraining Carbon and Nutrient Flows in Soil With Ecological Stoichiometry

Abstract

Soil organic matter (SOM) is central to soil carbon (C) storage and terrestrial nutrient cycling. New data have upended the traditional model of stabilization, which held that stable SOM was mostly made of undecomposed plant molecules. We now know that microbial by-products and dead cells comprise unexpectedly large amounts of stable SOM because they can become attached to mineral surfaces or physically protected within soil aggregates. SOM models have been built to incorporate the microbial to mineral stabilization of organic matter, but now face a new challenge of accurately capturing microbial productivity and metabolism. Explicitly representing stoichiometry, the relative nutrient requirements for growth and maintenance of organisms, could provide a way forward. Stoichiometry limits SOM formation and turnover in nature, but important nutrients like nitrogen (N), phosphorus (P), and sulfur (S) are often missing from the new generation of SOM models. In this synthesis, we seek to facilitate the addition of these nutrients to SOM models by (1) reviewing the stoichiometric bias—the tendency to favor one element over another—of four key processes in the new framework of SOM cycling and (2) applying this knowledge to build a stoichiometrically explicit budget of C, N, P, and S flow through the majormore » SOM pools. By quantifying the role of stoichiometry in SOM cycling, we discover that constraining the C:N:P:S ratio of microorganisms and SOM to specific values reduces uncertainty in C and nutrient flow as effectively as using microbial C use efficiency (CUE) parameters. We find that the value of additional constraints on stoichiometry vs. CUE varies across ecosystems, depending on how precise the available data are for that ecosystem and which biogeochemical pathways are present. Moreover, because CUE summarizes many different processes, stoichiometric measurements of key soil pools are likely to be more robust when extrapolated from soil incubations to plot or biome scale estimates. Our results suggest that measuring SOM stoichiometry should be a priority for future empirical work and that the inclusion of new nutrients in SOM models may be an effective way to improve precision.« less

Authors:
 [1];  [2]; ORCiD logo [3];  [4];  [5]
  1. Yale Univ., New Haven, CT (United States). Yale School of Forestry & Environmental Studies
  2. Univ. of Montana, Missoula, MT (United States). Dept. of Ecosystem and Conservation Sciences, W.A. Franke College of Forestry & Conservation
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division and Climate Change Science Inst.
  4. Stanford Univ., CA (United States). Dept. of Biology, School of Humanities and Sciences
  5. Amherst; Univ. of Massachusetts, Amherst, MA (United States). Stockbridge School of Agriculture; Minnesota State Univ., Mankato, MN (United States). Dept. of Ecology, Evolution and Behavior
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1570115
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Frontiers in Ecology and Evolution
Additional Journal Information:
Journal Volume: 7; Journal Issue: none
Country of Publication:
United States
Language:
English

Citation Formats

Buchkowski, Robert W., Shaw, Alanna N., Sihi, Debjani, Smith, Gabriel R., and Keiser, Ashley D. Constraining Carbon and Nutrient Flows in Soil With Ecological Stoichiometry. United States: N. p., 2019. Web. doi:10.3389/fevo.2019.00382.
Buchkowski, Robert W., Shaw, Alanna N., Sihi, Debjani, Smith, Gabriel R., & Keiser, Ashley D. Constraining Carbon and Nutrient Flows in Soil With Ecological Stoichiometry. United States. doi:10.3389/fevo.2019.00382.
Buchkowski, Robert W., Shaw, Alanna N., Sihi, Debjani, Smith, Gabriel R., and Keiser, Ashley D. Thu . "Constraining Carbon and Nutrient Flows in Soil With Ecological Stoichiometry". United States. doi:10.3389/fevo.2019.00382. https://www.osti.gov/servlets/purl/1570115.
@article{osti_1570115,
title = {Constraining Carbon and Nutrient Flows in Soil With Ecological Stoichiometry},
author = {Buchkowski, Robert W. and Shaw, Alanna N. and Sihi, Debjani and Smith, Gabriel R. and Keiser, Ashley D.},
abstractNote = {Soil organic matter (SOM) is central to soil carbon (C) storage and terrestrial nutrient cycling. New data have upended the traditional model of stabilization, which held that stable SOM was mostly made of undecomposed plant molecules. We now know that microbial by-products and dead cells comprise unexpectedly large amounts of stable SOM because they can become attached to mineral surfaces or physically protected within soil aggregates. SOM models have been built to incorporate the microbial to mineral stabilization of organic matter, but now face a new challenge of accurately capturing microbial productivity and metabolism. Explicitly representing stoichiometry, the relative nutrient requirements for growth and maintenance of organisms, could provide a way forward. Stoichiometry limits SOM formation and turnover in nature, but important nutrients like nitrogen (N), phosphorus (P), and sulfur (S) are often missing from the new generation of SOM models. In this synthesis, we seek to facilitate the addition of these nutrients to SOM models by (1) reviewing the stoichiometric bias—the tendency to favor one element over another—of four key processes in the new framework of SOM cycling and (2) applying this knowledge to build a stoichiometrically explicit budget of C, N, P, and S flow through the major SOM pools. By quantifying the role of stoichiometry in SOM cycling, we discover that constraining the C:N:P:S ratio of microorganisms and SOM to specific values reduces uncertainty in C and nutrient flow as effectively as using microbial C use efficiency (CUE) parameters. We find that the value of additional constraints on stoichiometry vs. CUE varies across ecosystems, depending on how precise the available data are for that ecosystem and which biogeochemical pathways are present. Moreover, because CUE summarizes many different processes, stoichiometric measurements of key soil pools are likely to be more robust when extrapolated from soil incubations to plot or biome scale estimates. Our results suggest that measuring SOM stoichiometry should be a priority for future empirical work and that the inclusion of new nutrients in SOM models may be an effective way to improve precision.},
doi = {10.3389/fevo.2019.00382},
journal = {Frontiers in Ecology and Evolution},
number = none,
volume = 7,
place = {United States},
year = {2019},
month = {10}
}

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