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Print on Demand pp. 448 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. Codice articolo 51008773
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.
Contenuti: Plenary Papers.- Why Evaluate Soil Organic Matter Models?.- The Contribution of the Soil Organic Matter Network (SOMNET) to GCTE.- Why Site Networks?.- The North American Site Network.- The Australian Site Network.- Long-term Data Sets from Germany and Eastern Europe.- Establishing a European GCTE Soil Organic Matter Network (SOMNET).- Interpretation Difficulties with Long-Term Experiments.- Review and Classification of Ten Soil Organic Matter (SOM) Models.- Ecosystem Model Comparisons: Science or Fantasy World?.- Matching Measurable Soil Organic Matter Fractions with Conceptual Pools in Simulation Models of Carbon Turnover: Revision of Model Structure.- Modeling the Measurable or Measuring the Modelable: A Hierarchical Approach to Isolating Meaningful Soil Organic Matter Fractionations.- Quantitative Methods to Evaluate and Compare Soil Organic Matter (SOM) Models.- Soil Organic Matter Models and Global Estimates of Soil Organic Carbon.- Soil Organic Matter Models.- The Soil Submodel of the ITE (Edinburgh) Forest and Hurley Pasture Models.- SOMM - a Model of Soil Organic Matter and Nitrogen Dynamics in Terrestrial Ecosystems.- RothC-26.3 - A Model For the Turnover of Carbon in Soil.- Modelling Approaches of Soil Organic Matter Turnover Within the CANDY System.- Organic Matter Dynamics Simulated with the ‘Verberne’-Model.- The DNDC Model.- Description of the Model NCSOIL.- Simulating Soil Carbon and Nitrogen Dynamics with the Soil-Plant-Atmosphere System Model DAISY.- The CENTURY Model.- Long-Term Experiments with Soil Organic Matter Measurements.- Soil Organic Matter Dynamics in Sanborn Field (North America).- The Askov Long-Term Experiments on Animal Manure and Mineral Fertilizers.- The Tamworth Legume/Cereal Rotation.- Long-Term Fertilization Trials in Hungary.- Essai Permanent Plots, Gembloux.- The Waite Permanent Rotation Trial..- Woodslee Tile Runoff Experiment: Fertilization Effects on Soil Organic Matter.- Effect of Farm Yard Manure and Fertilizer Nitrogen in Pearl Millet-Wheat Cropping Sequence.- The Breton Classical Plots.- Long-Term Field Experiment Praha- Ruzyn?, Czech Republic.- The Static Experiment Bad Lauchstädt, Germany.- The Park Grass Experiment, 1856–1995.- Geescroft Wilderness, 1883–1995.- Long-Term Residue Management Experiment: Pendleton, Oregon, USA.- Carbon Changes During the Growth of Loblolly Pine on Formerly Cultivated Soil: The Calhoun Experimental Forest, USA.- Soil Organic Matter Dynamics in the North American Corn Belt: The Arlington Plots.- Soil Evolution Under Dry Meadows in a Boreal Climate: The Moscow Dry-Meadow Experimental Site.
Titolo: Evaluation of Soil Organic Matter Models
Casa editrice: Springer
Data di pubblicazione: 2011
Legatura: Brossura
Condizione: New
Da: Brook Bookstore On Demand, Napoli, NA, Italia
Condizione: new. Questo è un articolo print on demand. Codice articolo QUHME2J4WX
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the NATA Advanced Research Workshop Evaluation of Soil Organic Matter Models Using Existing Long-Term Datasets , held at IACR-Rothamsted, Harpenden, UK, May 21-26, 1995Soil organic matter (SOM) represents a major pool of carbon withi. Codice articolo 5066907
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Evaluation of Soil Organic Matter Models | Using Existing Long-Term Datasets | David S. Powlson (u. a.) | Taschenbuch | xii | Englisch | 2011 | Springer | EAN 9783642646928 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 106331826
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9783642646928
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 448 pp. Englisch. Codice articolo 9783642646928
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 448 pp. Englisch. Codice articolo 9783642646928
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