Predicted soil organic carbon stocks and changes in the Brazilian Amazon between 2000 and 2030

被引:89
作者
Cerri, C. E. P.
Easter, M.
Paustian, K.
Killian, K.
Coleman, K.
Bernoux, M.
Falloon, P.
Powlson, D. S.
Batjes, N. H.
Milne, E.
Cerri, C. C.
机构
[1] Ctr Energia Nucl Agr, BR-13400970 Piracicaba, Brazil
[2] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA
[3] Rothamsted Res, Agr & Environm Div, Harpenden AL5 2JQ, Herts, England
[4] Inst Rech Dev, F-34394 Montpellier 5, France
[5] Hadley Ctr Climate Predict & Res, Met Off, Exeter EX1 3PB, Devon, England
[6] ISRIC World Soil Informat, NL-6700 AJ Wageningen, Netherlands
[7] Univ Reading, Dept Soil Sci, Reading RG6 6DW, Berks, England
基金
巴西圣保罗研究基金会; 美国国家科学基金会;
关键词
soil organic carbon; regional estimates; land use change; Brazilian Amazon;
D O I
10.1016/j.agee.2007.01.008
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Currently we have little understanding of the impacts of land use change on soil C stocks in the Brazilian Amazon. Such information is needed to determine impacts'6n the global C cycle and the sustainability of agricultural systems that are replacing native forest. The aim of this study was to predict soil carbon stocks and changes in the Brazilian Amazon during the period between 2000 and 2030, using the GEFSOC soil carbon (C) modelling system. In order to do so, we devised current and future land use scenarios for the Brazilian Amazon, taking into account: (i) deforestation, rates from the past three decades, (ii) census data on land use from 1940 to 2000, including the expansion and intensification of agriculture in the region, (iii) available information on management practices, primarily related to well managed pasture versus degraded pasture and conventional systems versus no-tillage systems for soybean (Glycine max) and (iv) FAO predictions on agricultural land use and land use changes for the years 2015 and 2030. The land use scenarios were integrated with spatially explicit soils data (SOTER database), climate, potential natural vegetation and land management units using the recently developed GEFSOC soil C modelling system. Results are presented in map, table and graph form for the entire Brazilian Amazon for the current situation (1990 and 2000) and the future (2015 and 2030). Results include soil organic C (SOC) stocks and SOC stock change rates estimated by three methods: (i) the Century ecosystem model, (ii) the Rothamsted C model and (iii) the intergovernmental panel on climate change (IPCC) method for assessing soil C at regional scale. In addition, we show estimated values of above and belowground biomass for native vegetation, pasture and soybean. The results on regional SOC stocks compare reasonably well with those based on mapping approaches. The GEFSOC system provided a means of efficiently handling complex interactions among biotic-edapho-climatic conditions (> 363,000 combinations) in a very large area (similar to 500 Mha) such as the Brazilian Amazon. All of the methods used showed a decline in SOC stock for the period studied; Century and RothC simulated values for 2030 being about 7% lower than those in 1990. Values from Century and RothC (30,430 and 25,000 Tg for the 0-20 cm layer for the Brazilian Amazon region were higher than those obtained from the IPCC system (23,400 Tg in the 0-30 cm layer). Finally; our results can help understand the major biogeochemical cycles that influence soil fertility and help devise management strategies that enhance the sustainability of these areas and thus slow further deforestation. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:58 / 72
页数:15
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