DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A scalable multi-process model of root nitrogen uptake

Abstract

This article is a Commentary on McMurtrie & Näsholm et al., 218: 119–130. Roots are represented in Terrestrial Ecosystem Models (TEMs) in much less detail than their equivalent above-ground resource acquisition organs – leaves. Often roots in TEMs are simply resource sinks, and below-ground resource acquisition is commonly simulated without any relationship to root dynamics at all, though there are exceptions (e.g. Zaehle & Friend, 2010). The representation of roots as carbon (C) and nitrogen (N) sinks without complementary source functions can lead to strange sensitivities in a model. For example, reducing root lifespans in the Community Land Model (version 4.5) increases plant production as N cycles more rapidly through the ecosystem without loss of plant function (D. M. Ricciuto, unpublished). The primary reasons for the poorer representation of roots compared with leaves in TEMs are three-fold: (1) data are much harder won, especially in the field; (2) no simple mechanistic models of root function are available; and (3) scaling root function from an individual root to a root system lags behind methods of scaling leaf function to a canopy. Here in this issue of New Phytologist, McMurtrie & Näsholm (pp. 119–130) develop a relatively simple model for root Nmore » uptake that mechanistically accounts for processes of N supply (mineralization and transport by diffusion and mass flow) and N demand (root uptake and microbial immobilization).« less

Authors:
 [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Climate Change Science Inst. & Environmental Sciences Division
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1436945
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
New Phytologist
Additional Journal Information:
Journal Volume: 218; Journal Issue: 1; Journal ID: ISSN 0028-646X
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; diffusion; mass flow; microbial nitrogen immobilization; nitrogen mineralization; root nitrogen uptake model; soil nitrogen transport; models as hypotheses; Terrestrial Ecosystem Models (TEMs)

Citation Formats

Walker, Anthony P. A scalable multi-process model of root nitrogen uptake. United States: N. p., 2018. Web. doi:10.1111/nph.15022.
Walker, Anthony P. A scalable multi-process model of root nitrogen uptake. United States. https://doi.org/10.1111/nph.15022
Walker, Anthony P. Wed . "A scalable multi-process model of root nitrogen uptake". United States. https://doi.org/10.1111/nph.15022. https://www.osti.gov/servlets/purl/1436945.
@article{osti_1436945,
title = {A scalable multi-process model of root nitrogen uptake},
author = {Walker, Anthony P.},
abstractNote = {This article is a Commentary on McMurtrie & Näsholm et al., 218: 119–130. Roots are represented in Terrestrial Ecosystem Models (TEMs) in much less detail than their equivalent above-ground resource acquisition organs – leaves. Often roots in TEMs are simply resource sinks, and below-ground resource acquisition is commonly simulated without any relationship to root dynamics at all, though there are exceptions (e.g. Zaehle & Friend, 2010). The representation of roots as carbon (C) and nitrogen (N) sinks without complementary source functions can lead to strange sensitivities in a model. For example, reducing root lifespans in the Community Land Model (version 4.5) increases plant production as N cycles more rapidly through the ecosystem without loss of plant function (D. M. Ricciuto, unpublished). The primary reasons for the poorer representation of roots compared with leaves in TEMs are three-fold: (1) data are much harder won, especially in the field; (2) no simple mechanistic models of root function are available; and (3) scaling root function from an individual root to a root system lags behind methods of scaling leaf function to a canopy. Here in this issue of New Phytologist, McMurtrie & Näsholm (pp. 119–130) develop a relatively simple model for root N uptake that mechanistically accounts for processes of N supply (mineralization and transport by diffusion and mass flow) and N demand (root uptake and microbial immobilization).},
doi = {10.1111/nph.15022},
journal = {New Phytologist},
number = 1,
volume = 218,
place = {United States},
year = {Wed Feb 28 00:00:00 EST 2018},
month = {Wed Feb 28 00:00:00 EST 2018}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 2 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Weaker soil carbon–climate feedbacks resulting from microbial and abiotic interactions
journal, November 2014


A new theory of plant-microbe nutrient competition resolves inconsistencies between observations and model predictions
journal, March 2017

  • Zhu, Qing; Riley, William J.; Tang, Jinyun
  • Ecological Applications, Vol. 27, Issue 3
  • DOI: 10.1002/eap.1490

The intrinsic dimensionality of plant traits and its relevance to community assembly
journal, November 2013


Using ecosystem experiments to improve vegetation models
journal, May 2015

  • Medlyn, Belinda E.; Zaehle, Sönke; De Kauwe, Martin G.
  • Nature Climate Change, Vol. 5, Issue 6
  • DOI: 10.1038/nclimate2621

The effect of vertically resolved soil biogeochemistry and alternate soil C and N models on C dynamics of CLM4
journal, January 2013


Quantifying the contribution of mass flow to nitrogen acquisition by an individual plant root
journal, December 2017

  • McMurtrie, Ross E.; Näsholm, Torgny
  • New Phytologist, Vol. 218, Issue 1
  • DOI: 10.1111/nph.14927

Substantial nitrogen acquisition by arbuscular mycorrhizal fungi from organic material has implications for N cycling
journal, July 2010

  • Hodge, A.; Fitter, A. H.
  • Proceedings of the National Academy of Sciences, Vol. 107, Issue 31
  • DOI: 10.1073/pnas.1005874107

The Rate-Limiting step in Plant Nutrient Absorption from soil
journal, January 1977


A Steady-State Model of Nutrient Uptake Accounting for Newly Grown Roots
journal, January 1994


Trait covariance: the functional warp of plant diversity?
journal, November 2017

  • Walker, Anthony P.; McCormack, M. Luke; Messier, Julie
  • New Phytologist, Vol. 216, Issue 4
  • DOI: 10.1111/nph.14853

Predicting long-term carbon sequestration in response to CO 2 enrichment: How and why do current ecosystem models differ?
journal, April 2015

  • Walker, Anthony P.; Zaehle, Sönke; Medlyn, Belinda E.
  • Global Biogeochemical Cycles, Vol. 29, Issue 4
  • DOI: 10.1002/2014GB004995

Resource limitation in a competitive context determines complex plant responses to experimental resource additions
journal, November 2013

  • Farrior, Caroline E.; Tilman, David; Dybzinski, Ray
  • Ecology, Vol. 94, Issue 11
  • DOI: 10.1890/12-1548.1

A global Fine-Root Ecology Database to address below-ground challenges in plant ecology
journal, February 2017

  • Iversen, Colleen M.; McCormack, M. Luke; Powell, A. Shafer
  • New Phytologist, Vol. 215, Issue 1, p. 15-26
  • DOI: 10.1111/nph.14486

Redefining fine roots improves understanding of below-ground contributions to terrestrial biosphere processes
journal, March 2015

  • McCormack, M. Luke; Dickie, Ian A.; Eissenstat, David M.
  • New Phytologist, Vol. 207, Issue 3
  • DOI: 10.1111/nph.13363

On the missing link in ecology: improving communication between modellers and experimentalists
journal, April 2017

  • Heuschele, Jan; Ekvall, Mikael T.; Mariani, Patrizio
  • Oikos, Vol. 126, Issue 8
  • DOI: 10.1111/oik.03885

Stomatal Conductance and Photosynthesis
journal, June 1982


Vegetation demographics in Earth System Models: A review of progress and priorities
journal, October 2017

  • Fisher, Rosie A.; Koven, Charles D.; Anderegg, William R. L.
  • Global Change Biology, Vol. 24, Issue 1
  • DOI: 10.1111/gcb.13910