Soil carbon stocks in Southwest Goiás, Brazilian cerrado: land use impact and spatial distribution.
2010
BALIEIRO, F. DE C. | PRADO, R. B. | COUTINHO, H. L. DA C. | BENITES, V. DE M. | FIDALGO, E. C. C. | FERREIRA, C. E G. | FERREIRA FILHO, S. M. | BETTA, M. | FABIANO DE CARVALHO BALIEIRO, CNPS; RACHEL BARDY PRADO, CNPS; HEITOR LUIZ DA COSTA COUTINHO, CNPS; VINICIUS DE MELO BENITES, CNPS; ELAINE CRISTINA CARDOSO FIDALGO, CNPS; CARLOS EDUARDO GONÇALVES FERREIRA, UNIVERSIDADE DO ESTADO DO RIO DE JANEIRO; SILVIO MARCOS FERREIRA FILHO, UNIVERSIDADE DE RIO VERDE; MARCONI BETTA, UNIVERSIDADE DE RIO VERDE.
Soil Organic Matter (SOM) conservation is essential for environmental services maintenance, mainly in the tropics, where this component is essential for soil fertility, structure and biological activity. Although the Brazilian Cerrados presents the largest area available for cultivation and livestock production, contrasting findings have been reported on the impact of land use on soil carbon stocks and dynamics. This work aimed at evaluating how the prevailing land use types impact Cerrado soil carbon stocks and at presenting the spatial variability of this attribute in great part of Southwest Goiás, Brazil. The mean estimated soil carbon stock values obtained from land under agricultural use indicated that, although some cultivated areas showed higher C stocks than native vegetation, in general, conversion to agriculture, under the major management practices in use in Southwest Goiás, result in partial loss of the original soil carbon stocks. On average the Eucalyptus and pasture areas are those with lowest carbon emission potential to the atmosphere. Most of the soil carbon is stored under the native vegetation. Considering the fact that it occupies only 1/3 of the mapped region, policy makers should direct efforts to the conservation of these fragments, their vulnerability, and to their potential as greenhouse gas emitters if converted to agriculture, without soil management practices that lead to conservation. Greater effort is needed to generate a larger spatially explicit dataset, expanding the existing knowledge on carbon dynamics under different crops and soil management scenarios.
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