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Titlebook: Evaluation of Soil Organic Matter Models; Using Existing Long- David S. Powlson,Pete Smith,Jo U. Smith Conference proceedings 1996 Springer

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https://doi.org/10.1007/978-3-642-47492-7s studies to large-scale model-based assessments of agroecosystem C balances and CO. mitigation strategies. Networks of existing long-term experiments can play an important role in ecosystem and global change research.
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https://doi.org/10.1007/978-3-658-05498-4de: modifications to soil sampling protocol (depth, method, number and distribution of samples); changes in soil bulk density; methods of measuring soil C. In this paper we describe these potential problems, and identify the main sources of error when interpreting SOM data from long-term experiments.
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Interpretation Difficulties with Long-Term Experimentsde: modifications to soil sampling protocol (depth, method, number and distribution of samples); changes in soil bulk density; methods of measuring soil C. In this paper we describe these potential problems, and identify the main sources of error when interpreting SOM data from long-term experiments.
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Why evaluate soil organic matter models?n SOM content, composition or dynamics can have far reaching impacts. Some changes occur slowly over periods of decades so long-term experiments are necessary to measure them. Models are the only practical means of making projections at places other than the sites of long-term experiments.
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