| Evaluation of Soil Organic Matter Models: Using Existing Long-Term Datasets Softcover Repri Edition Contributor(s): Powlson, David S. (Editor), Smith, Pete (Editor), Smith, Jo U. (Editor) |
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ISBN: 3642646921 ISBN-13: 9783642646928 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: October 2011 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Agriculture - Agronomy - Soil Science - Science | Environmental Science (see Also Chemistry - Environmental) - Science | Earth Sciences - Meteorology & Climatology |
| Dewey: 631.417 |
| Series: NATO Asi Subseries I: |
| Physical Information: 0.91" H x 6.14" W x 9.21" (1.37 lbs) 429 pages |
| Themes: - Topical - Ecology |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |