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

Evaluation of Soil Organic Matter Models: Using Existing Long-Term Datasets
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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 influe, Evaluation of Soil Organic Matter Models: Using Existing Long-Term Datasets
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  • Evaluation of Soil Organic Matter Models: Using Existing Long-Term Datasets
  • Written by author David S. Powlson
  • Published by Springer-Verlag New York, LLC, 7/31/2012
  • 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 influe
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Authors

Why Evaluate Soil Organic Matter Models? 1
The Contribution of the Soil Organic Matter Network (SOMNET) to GCTE 13
Why Site Networks? 27
The North American Site Network 37
The Australian Site Network 55
Long-term Data Sets from Germany and Eastern Europe 69
Establishing a European GCTE Soil Organic Matter Network (SOMNET) 81
Interpretation Difficulties with Long-Term Experiments 99
Review and Classification of Ten Soil Organic Matter (SOM) Models 111
Ecosystem Model Comparisons: Science or Fantasy World? 133
Matching Measurable Soil Organic Matter Fractions with Conceptual Pools in Simulation Models of Carbon Turnover: Revision of Model Structure 143
Modeling the Measurable or Measuring the Modelable: A Hierarchical Approach to Isolating Meaningful Soil Organic Matter Fractionations 161
Quantitative Methods to Evaluate and Compare Soil Organic Matter (SOM) Models 181
Soil Organic Matter Models and Global Estimates of Soil Organic Carbon 201
The Soil Submodel of the ITE (Edinburgh) Forest and Hurley Pasture Models 225
SOMM - a Model of Soil Organic Matter and Nitrogen Dynamics in Terrestrial Ecosystems 231
RothC-26.3 - A Model For the Turnover of Carbon in Soil 237
Modelling Approaches of Soil Organic Matter Turnover Within the CANDY System 247
Organic Matter Dynamics Simulated with the 'Verberne'-Model 255
The DNDC Model 263
Description of the Model NCSOIL 269
Simulating Soil Carbon and Nitrogen Dynamics with the Soil-Plant-Atmosphere System Model DAISY 275
The CENTURY Model 283
Soil Organic Matter Dynamics in Sanborn Field (North America) 295
The Askov Long-Term Experiments on Animal Manure and Mineral Fertilizers 301
The Tamworth Legume/Cereal Rotation 313
Long-Term Fertilization Trials in Hungary 319
Essai Permanent Plots, Gembloux 325
The Waite Permanent Rotation Trial 333
Woodslee Tile Runoff Experiment: Fertilization Effects on Soil Organic Matter 339
Effect of Farm Yard Manure and Fertilizer Nitrogen in Pearl Millet-Wheat Cropping Sequence 345
The Breton Classical Plots 351
Long-Term Field Experiment Praha- Ruzyne, Czech Republic 363
The Static Experiment Bad Lauchstadt, Germany 369
The Park Grass Experiment, 1856-1995 377
Geescroft Wilderness, 1883-1995 385
Long-Term Residue Management Experiment: Pendleton, Oregon, USA 391
Carbon Changes During the Growth of Loblolly Pine on Formerly Cultivated Soil: The Calhoun Experimental Forest, USA 397
Soil Organic Matter Dynamics in the North American Corn Belt: The Arlington Plots 409
Soil Evolution Under Dry Meadows in a Boreal Climate: The Moscow Dry-Meadow Experimental Site 419
Index 423


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

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

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

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

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