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Evaluation of Soil Organic Matter Models

Using Existing Long-Term Datasets

  • Conference proceedings
  • © 1996

Overview

Editors:
  1. David S. Powlson

    1. Soil Science Department, IACR-Rothamsted, Hertfordshire, UK

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  2. Pete Smith

    1. Soil Science Department, IACR-Rothamsted, Hertfordshire, UK

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    You can also search for this editor in PubMed   Google Scholar

  3. Jo U. Smith

    1. Soil Science Department, IACR-Rothamsted, Hertfordshire, UK

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Nato ASI Subseries I: (ASII, volume 38)

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Table of contents (40 papers)

  1. Front Matter

    Pages I-XII
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  2. Plenary Papers

    1. Front Matter

      Pages 1-1
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    2. Why evaluate soil organic matter models?

      • David S. Powlson
      Pages 3-11

    3. The Contribution of the Soil Organic Matter Network (SOMNET) to GCTE

      • P. J. Gregory, J. S. I. Ingram
      Pages 13-26

    4. Why Site Networks?

      • Edward T. Elliott, Keith Paustian
      Pages 27-36

    5. The North American Site Network

      • Keith Paustian, Edward T. Elliott, Eldor A. Paul, Harold P. Collins, C. Vernon Cole, Serita D. Frey
      Pages 37-54

    6. The Australian Site Network

      • Peter R. Grace
      Pages 55-67

    7. Long-term data sets from Germany and Eastern Europe

      • Martin Körschens
      Pages 69-80

    8. Establishing a European GCTE Soil Organic Matter Network (SOMNET)

      • Pete Smith, David Powlson, Margaret Glendining
      Pages 81-97

    9. Interpretation Difficulties with Long-Term Experiments

      • M. J. Glendining, P. R. Poulton
      Pages 99-109

    10. Review and Classification of Ten Soil Organic Matter (SOM) Models

      • William B. McGill
      Pages 111-132

    11. Ecosystem model comparisons: science or fantasy world?

      • William J. Parton
      Pages 133-142

    12. Matching Measurable Soil Organic Matter Fractions with Conceptual Pools in Simulation Models of Carbon Turnover: Revision of Model Structure

      • Bent T. Christensen
      Pages 143-159

    13. Modeling the Measurable or Measuring the Modelable: A Hierarchical Approach to Isolating Meaningful Soil Organic Matter Fractionations

      • Edward T. Elliott, Keith Paustian, Serita D. Frey
      Pages 161-179

    14. Quantitative methods to evaluate and compare Soil Organic Matter (SOM) Models

      • Jo Smith, Pete Smith, Tom Addiscott
      Pages 181-199

    15. Soil Organic Matter Models and Global Estimates of Soil Organic Carbon

      • W. M. Post, A. W. King, S. D. Wullschleger
      Pages 201-222

  3. Soil Organic Matter Models

    1. Front Matter

      Pages 223-223
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    2. The Soil Submodel of the ITE (Edinburgh) Forest and Hurley Pasture Models

      • J. R. M. Arah
      Pages 225-230

    3. SOMM - a model of soil organic matter and nitrogen dynamics in terrestrial ecosystems

      • O. G. Chertov, A. S. Komarov
      Pages 231-236

    4. RothC-26.3 - A Model for the turnover of carbon in soil

      • K. Coleman, D. S. Jenkinson
      Pages 237-246
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Keywords

About this book

Soil organic matter (SOM) represents a major pool of carbon within the biosphere, roughly twice than in atmospheric CO2. SOM models embody our best understanding of soil carbon dynamics and are needed to predict how global environmental change will influence soil carbon stocks. These models are also required for evaluating the likely effectiveness of different mitigation options. The first important step towards systematically evaluating the suitability of SOM models for these purposes is to test their simulations against real data. Since changes in SOM occur slowly, long-term datasets are required. This volume brings together leading SOM model developers and experimentalists to test SOM models using long-term datasets from diverse ecosystems, land uses and climatic zones within the temperate region.

Editors and Affiliations

  • Soil Science Department, IACR-Rothamsted, Hertfordshire, UK

    David S. Powlson, Pete Smith, Jo U. Smith

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