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Evaluation of Soil Organic Matter Models

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Release : 2013-06-29
Genre : Science
Kind : eBook
Book Rating : 943/5 ( reviews)

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Book Synopsis Evaluation of Soil Organic Matter Models by : David S. Powlson

Download or read book Evaluation of Soil Organic Matter Models written by David S. Powlson. This book was released on 2013-06-29. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Evaluation of Soil Organic Matter Models

Download Evaluation of Soil Organic Matter Models PDF Online Free

Author :
Release : 2014-01-15
Genre :
Kind : eBook
Book Rating : 950/5 ( reviews)

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Book Synopsis Evaluation of Soil Organic Matter Models by : David S. Powlson

Download or read book Evaluation of Soil Organic Matter Models written by David S. Powlson. This book was released on 2014-01-15. Available in PDF, EPUB and Kindle. Book excerpt:

Evaluation and Comparison of Soil Organic Matter Models

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Author :
Release : 1997
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Evaluation and Comparison of Soil Organic Matter Models by :

Download or read book Evaluation and Comparison of Soil Organic Matter Models written by . This book was released on 1997. Available in PDF, EPUB and Kindle. Book excerpt:

Evaluation and Comparison of Soil Organic Matter Models Using Datasets from Seven Long-term Experiments

Download Evaluation and Comparison of Soil Organic Matter Models Using Datasets from Seven Long-term Experiments PDF Online Free

Author :
Release : 1997
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Evaluation and Comparison of Soil Organic Matter Models Using Datasets from Seven Long-term Experiments by : P. Smith

Download or read book Evaluation and Comparison of Soil Organic Matter Models Using Datasets from Seven Long-term Experiments written by P. Smith. This book was released on 1997. Available in PDF, EPUB and Kindle. Book excerpt:

Soil Carbon Storage

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Author :
Release : 2018-04-12
Genre : Science
Kind : eBook
Book Rating : 678/5 ( reviews)

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Book Synopsis Soil Carbon Storage by : Brajesh Singh

Download or read book Soil Carbon Storage written by Brajesh Singh. This book was released on 2018-04-12. Available in PDF, EPUB and Kindle. Book excerpt: Soil Carbon Storage: Modulators, Mechanisms and Modeling takes a novel approach to the issue of soil carbon storage by considering soil C sequestration as a function of the interaction between biotic (e.g. microbes and plants) and abiotic (climate, soil types, management practices) modulators as a key driver of soil C. These modulators are central to C balance through their processing of C from both plant inputs and native soil organic matter. This book considers this concept in the light of state-of-the-art methodologies that elucidate these interactions and increase our understanding of a vitally important, but poorly characterized component of the global C cycle. The book provides soil scientists with a comprehensive, mechanistic, quantitative and predictive understanding of soil carbon storage. It presents a new framework that can be included in predictive models and management practices for better prediction and enhanced C storage in soils. - Identifies management practices to enhance storage of soil C under different agro-ecosystems, soil types and climatic conditions - Provides novel conceptual frameworks of biotic (especially microbial) and abiotic data to improve prediction of simulation model at plot to global scale - Advances the conceptual framework needed to support robust predictive models and sustainable land management practices

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