Evaluation of Soil Organic Matter Models: Using Existing Long-Term Datasets (Nato ASI Subseries I:)

ISBN 10: 3540606025 / ISBN 13: 9783540606024

Published by Springer, 1996

About this Item

pp. 429.

Seller Inventory # 1847983697

Bibliographic Details

• Title: Evaluation of Soil Organic Matter Models: Using Existing Long-Term Datasets (Nato ASI Subseries I:)
• Publisher: Springer
• Publication Date: 1996
• Language: English
• ISBN 10: 3540606025
• ISBN 13: 9783540606024
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.