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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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書目名稱Evaluation of Soil Organic Matter Models
副標(biāo)題Using Existing Long-
編輯David S. Powlson,Pete Smith,Jo U. Smith
視頻videohttp://file.papertrans.cn/318/317349/317349.mp4
叢書名稱Nato ASI Subseries I:
圖書封面Titlebook: Evaluation of Soil Organic Matter Models; Using Existing Long- David S. Powlson,Pete Smith,Jo U. Smith Conference proceedings 1996 Springer
描述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.
出版日期Conference proceedings 1996
關(guān)鍵詞Boden; Globale Umweltver?nderung; Klimatologie; Modellierung; biosphere; climatology; ecosystem; ecosystem
版次1
doihttps://doi.org/10.1007/978-3-642-61094-3
isbn_softcover978-3-642-64692-8
isbn_ebook978-3-642-61094-3Series ISSN 1431-7125
issn_series 1431-7125
copyrightSpringer-Verlag Berlin Heidelberg 1996
The information of publication is updating

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The Australian Site Networkntly measured as 31% of the total soil organic carbon pool for samples taken during the course of the trials from a wide variety of crop and ley farming treatments. The majority of this protected organic matter fraction has been identified by .C NMR as charcoal, a largely inert form of carbon.
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Establishing a European GCTE Soil Organic Matter Network (SOMNET)er European databases containing quality-controlled data in standard format..The data from long-term experiments that exits in Europe that could be made available by the European GCTE SOMNET is estimated to have cost, in 1989 terms, nearly $ 140,000,000 to collect..In this paper we describe the prog
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Review and Classification of Ten Soil Organic Matter (SOM) Modelsons to follow C and N through litter and SOM components, but in no case were biochemical separations applied to litter or SOM..I conclude that a simple classification scheme to organize information about models provides a focus for concepts within them and comparisons among them. The scheme revealed
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Ecosystem model comparisons: science or fantasy world?. The existing model comparisons have been very effective at highlighting scientific uncertainty and suggest critical research needed to enhance our ability to simulate ecosystem response to environmental changes..A major difficulty with current model comparisons is the lack of a common modelling fr
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Soil Organic Matter Models and Global Estimates of Soil Organic Carboncale implementation of the Rothamsted model explore the potential transient response of soil organic matter under climate change where the climate conditions change substantially faster than the length of time required for soil organic matter dynamics to equilibrate. These transient simulations indi
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Die hypergeometrische Funktion. Grundlagen,riving variables and they also allow us to test our understanding embodied in ecosystem models and determine the level of confidence in the ability of the model to reproduce ecosystem behavior. Networks also provide data to support defensible regional projections and additional testing power is gain
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