Computer simulations for the study of carbon and nitrogen dynamics and greenhouse gas emissions in agricultural production systems.
Abstract: Analytical methods and computer simulators are widely used to evaluate the effects of agricultural management systems on soil stocks of carbon (C) and nitrogen (N) and on greenhouse gas (GHG) emissions. Century, RothC and EPIC simulators have been widely used in temperate climate regions a...
| Autores: | , , , |
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| Tipo de recurso: | capítulo de libro |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | Brasil |
| Institución: | Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
| Repositorio: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
| Idioma: | inglés |
| OAI Identifier: | oai:www.alice.cnptia.embrapa.br:doc/1011867 |
| Acceso en línea: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1011867 |
| Access Level: | acceso abierto |
| Palabra clave: | Emissão de gases Agricultura Carbono Nitrogênio Efeito estufa Modelo de simulação Programa de computador Greenhouse gases Gas emissions Computer simulation |
| Sumario: | Abstract: Analytical methods and computer simulators are widely used to evaluate the effects of agricultural management systems on soil stocks of carbon (C) and nitrogen (N) and on greenhouse gas (GHG) emissions. Century, RothC and EPIC simulators have been widely used in temperate climate regions and, to a lesser extent, in tropical regions, to analyze C and N stock trends in several agroecosystems, given the various scenarios they promote. Due to the complexity of data input, however, other simpler simulators are being tested, such as CQESTR. For example, in Brazil simulations using Century and CQESTR are continuously growing, probably due to the high accuracy resulting from the validations performed. Applying these computing resources to scenarios of areas under various tillage systems in the medium and long term, a C stock increase was observed in areas under no-tillage compared to conventional tillage. There have been reports of successfully obtaining estimates of GHG emissions by agricultural management systems using DayCent, the daily time step version of Century and, especially, DNDC (the DeNitrification-DeComposition model). DNDC has shown reasonable applicability for estimating methane from flooded rice cultivation for sites studied in Brazil. In all these applications, simulators made it possible to identify management strategies having less impact among the scenarios to be investigated after being validated. |
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