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  • Conference proceedings
  • © 1996

Evaluation of Soil Organic Matter Models

Using Existing Long-Term Datasets

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
  2. Plenary Papers

    1. Front Matter

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

      • David S. Powlson
      Pages 3-11
    3. Why Site Networks?

      • Edward T. Elliott, Keith Paustian
      Pages 27-36
    4. 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
    5. The Australian Site Network

      • Peter R. Grace
      Pages 55-67
    6. Establishing a European GCTE Soil Organic Matter Network (SOMNET)

      • Pete Smith, David Powlson, Margaret Glendining
      Pages 81-97
    7. Interpretation Difficulties with Long-Term Experiments

      • M. J. Glendining, P. R. Poulton
      Pages 99-109
    8. Quantitative methods to evaluate and compare Soil Organic Matter (SOM) Models

      • Jo Smith, Pete Smith, Tom Addiscott
      Pages 181-199
    9. 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
    2. RothC-26.3 - A Model for the turnover of carbon in soil

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

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

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access