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Spatially-explicit and spectral soil carbon modeling in Florida. Profound shifts have occurred over the last three centuries in which human actions have become the main driver to global environmental change. In this new epoch, the Anthropocene, human-driven changes... ... Repository: BDPA Publication year: 2011
An analytic representation of the total soil carbon trajectory implied by the general mathematical framework of most soil carbon models. Author(s): BOAS, P. R. V.; BARIONI, L. G. In this work we propose such a representation for the total carbon trajectory whose generality embraces implicitly the mechanism of models as Century, RothC and CQESTR. Repository: BDPA Publication year: 2021
Predictive models to estimate carbon stocks in agroforestry systems. Author(s): OLIVEIRA, S. R. de M. Abstract: This study aims to assess the carbon stock in a pasture area and fragment of forest in natural regeneration, given the importance of agroforestry systems in mitigating gas emissions which co... ... Repository: BDPA Publication year: 2021
Influence of the spatial extent and resolution of input data on soil carbon models in Florida, USA. Understanding the causes of spatial variation of soil carbon (C) has important implications for regional and global C dynamics studies. Soil C predictive models can identify sources of C variation, bu... ... Repository: BDPA Publication year: 2012
Carbon storage and sequestration in amazonian rural properties supported by the carbon storage and sequestration model. Abstract: Changes in land use and land cover in the Amazon Biome directly impact carbon reservoirs, making it a crucial ecosystem service for climate regulation. Therefore, quantifying and spatializin... ... Repository: BDPA Publication year: 2024
Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. Author(s): SOTTA, E. Considerable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.... ... Repository: BDPA Publication year: 2013
Prediction statistical model for soil organic carbon mapping in crop areas using the Landsat/OLI sensor. Author(s): VICENTE, L. E.; LOEBMANN, D. G. dos S. W.; ARAUJO, L. S. de; MANZATTO, C. V. Abstract: The quantification of soil organic carbon (SOC) is essential to agriculture and sustainable use of the land. However, there are difficulties to estimate it in large areas due to high cost of... ... Repository: BDPA Publication year: 2019
Modelling and digital soil mapping of the organic carbon stock in the topsoil (0-10 cm) of Rio de Janeiro State, Brazil. A soil database with 431 soil profiles of Rio de Janeiro State was used in the scope of a research project entitled "Quantifying the magnitude, spatial distribution and organic carbon in soils of Rio... ... Repository: BDPA Publication year: 2008
Adaptation of Agro-IBIS model for Eucalyptus carbon budget estimation at regional level: a case study in São Paulo State, Brazil. Author(s): CUADRA, S. V.; CABRAL, O. M. R. Highly productive fast-growing Eucalyptus plantations cover more than 5 million hectares in Brazil and exhibit very dynamic carbon fluxes throughout their 6-7 year rotations. These plantations quickly... ... Repository: BDPA Publication year: 2019
Predicting soil organic carbon dynamics of integrated crop-livestock system in Brazil using the CQESTR model. Author(s): MADARI, B. E.; LEITE, L. F. C.; MACHADO, P. L. O. A.; CARVALHO, M. T. M. Land degradation and reduction in productivity have resulted in losses of soil organic carbon (SOC) in agricultural areas in Brazil. Our objectives were to 1) evaluate the predictive performance of CQ... ... Repository: BDPA Publication year: 2022

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