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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Evaluation of Soil Organic Matter Models: Using Existing Long-Term Datasets

Evaluation of Soil Organic Matter Models: Using Existing Long-Term Datasets

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

Paperback

Series: NATO Asi Subseries I:, Book 38

AgricultureEnvironmental Studies

ISBN10: 3642646921
ISBN13: 9783642646928
Publisher: Springer Nature
Published: Oct 4 2011
Pages: 429
Weight: 1.37
Height: 0.91 Width: 6.14 Depth: 9.21
Language: English
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.

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