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No. de sistema: 000056003

LDR _ _ 00000pam^^2200325^a^4500
008 _ _ 151020s1996^^^^nyuab^^f^b^^^z101^0^eng^^
020 _ _ a| 3540606025
020 _ _ a| 9783642646928 (Print)
020 _ _ a| 9783642610943 (Online)
040 _ _ a| DLC
c| DLC
044 _ _ a| nyu
245 0 0 a| Evaluation of soil organic matter models
c| editores: David S. Powlson, Pete Smith, Jo U. Smith
h| Libro electrónico
b| using existing long-term datasets
260 _ _ a| New York, New York, United States
b| Springer
c| c1996
300 _ _ a| xii, 429 p.
b| il. mapas
c| 24 cm.
440 _ 0 a| NATO ASI series
n| Volume 38
504 _ _ a| Incluye bibliografía e índice (p. 423-429)
505 2 _ a| Chapter 1. Plenary papers.. Chapter 2. Soil organic matter models.. Chapter 3. Long-term experiments with soil organic matter measurements.. Index
506 _ _ a| Acceso electrónico sólo para usuarios de ECOSUR
520 1 _ a| 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.
533 _ _ a| Reproducción electrónica
538 _ _ a| Disponible en formato PDF
541 _ _ a| Subscripción a ELSEVIER
d| 26 de diciembre del 2013
650 _ 0 a| Humus
x| Mathematical models :: Evaluation :: Congresses
700 1 _ a| Powlson, David S.
e| ed.
700 1 _ a| Smith, Pete
e| coed.
700 1 _ a| Smith, Jo U.
e| coed.
902 _ _ a| Egner
904 _ _ a| Octubre 2015
905 _ _ a| Acervo
905 _ _ a| Biblioelectrónica
LNG eng
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Evaluation of soil organic matter models: using existing long-term datasets [Libro electrónico] / editores: David S. Powlson, Pete Smith, Jo U. Smith
Powlson, David S. (ed.)
Smith, Pete (coed.)
Smith, Jo U. (coed.)
Editor: New York, New York, United States : Springer, c1996
Serie: (NATO ASI series; Volume 38)
Nota: Acceso electrónico sólo para usuarios de ECOSUR
ISBN: 3540606025
9783642646928 (Print)
9783642610943 (Online)
Descripción: xii, 429 p. : il. mapas ; 24 cm.
Nota: Incluye bibliografía e índice (p. 423-429)
No. de sistema: 56003
Tipo: Libro
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Chapter 1. Plenary papers
Chapter 2. Soil organic matter models
Chapter 3. Long-term experiments with soil organic matter measurements
Index

Inglés

"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."


  • Disponible en formato PDF