Evaluation of Soil Organic Matter Models
Using Existing Long-Term Datasets
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 mod…
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Produktdetails
Weitere Autoren: Smith, Jo U. (Hrsg.) / Smith, Pete (Hrsg.)
- ISBN: 978-3-642-64692-8
- EAN: 9783642646928
- Produktnummer: 13394153
- Verlag: Springer Berlin Heidelberg
- Sprache: Englisch
- Erscheinungsjahr: 2011
- Seitenangabe: 448 S.
- Masse: H23.5 cm x B15.5 cm x D2.4 cm 674 g
- Auflage: Softcover reprint of the original 1st ed. 1996
- Abbildungen: Paperback
- Gewicht: 674
4 weitere Werke von David S. (Hrsg.) Powlson:
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Using Existing Long-Term Datasets
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