Modeling seasonal and interannual variability in ecosystem carbon cycling for the Brazilian Amazon region
- 27 May 2001
- journal article
- Published by American Geophysical Union (AGU) in Journal of Geophysical Research: Atmospheres
- Vol. 106 (D10) , 10423-10446
- https://doi.org/10.1029/2000jd900563
Abstract
Previous field measurements have implied that undisturbed Amazon forests may represent a substantial terrestrial sink for atmospheric carbon dioxide. We investigated this hypothesis using a regional ecosystem model for net primary production (NPP) and soil biogeochemical cycling. Seasonal and interannual controls on net ecosystem production (NEP) were studied with integration of high‐resolution (8‐km) multiyear satellite data to characterize Amazon land surface properties over time. Background analysis of temporal and spatial relationships between regional rainfall patterns and satellite observations (for vegetation land cover, fire counts, and smoke aerosol effects) reveals several notable patterns in the model driver data. Autocorrelation analysis for monthly vegetation “greenness” index (normalized difference vegetation index, NDVI) from the advanced very high resolution radiometer (AVHRR) and monthly rainfall indicates a significant lag time correlation of up to 12 months. At lag times approaching 36 months, autocorrelation function (ACF) values did not exceed the 95% confidence interval at locations west of about 47°W, which is near the transition zone of seasonal tropical forest and other (nonforest) vegetation types. Even at lag times of 12 months or less, the location near Manaus (approximately 60°W) represents the farthest western point in the Amazon region where seasonality of rainfall accounts significantly for monthly variations in forest phenology, as observed using NDVI. Comparisons of NDVI seasonal profiles in areas of the eastern Amazon widely affected by fires (as observed from satellite) suggest that our adjusted AVHRR‐NDVI captures year‐to‐year variation in land cover greenness with minimal interference from small fires and smoke aerosols. Ecosystem model results using this newly generated combination of regional forcing data from satellite suggest that undisturbed Amazon forests can be strong net sinks for atmospheric carbon dioxide, particularly during wet (non El Niño) years. However, drought effects during El Niño years can reduce NPP in primary forests of the eastern Amazon by 10–20%, compared to long‐term average estimates of regional productivity. Annual NEP for the region is predicted to range from −0.4 Pg C yr−1 (net CO2 source) to 0.5 Pg C yr−1 (net CO2 sink), with large interannual variability over the states of Pará, Maranhao, and Amazonas. As in the case of predicted NPP, it appears that periods of relatively high solar surface irradiance combined with several months of adequate rainfall are required to sustain the forest carbon sink for positive yearly NEP estimates.Keywords
This publication has 74 references indexed in Scilit:
- Ecosystem modeling and dynamic effects of deforestation on trace gas fluxes in Amazon tropical forestsForest Ecology and Management, 2001
- On the use of long‐term global data of land reflectances and vegetation indices derived from the advanced very high resolution radiometerJournal of Geophysical Research: Atmospheres, 1999
- Land use change and biogeochemical controls of nitrogen oxide emissions from soils in eastern AmazoniaGlobal Biogeochemical Cycles, 1999
- Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiersInternational Journal of Remote Sensing, 1998
- A contextual algorithm for AVHRR fire detectionInternational Journal of Remote Sensing, 1996
- NDVI-derived land cover classifications at a global scaleInternational Journal of Remote Sensing, 1994
- A global 1° by 1° NDVI data set for climate studies. Part 2: The generation of global fields of terrestrial biophysical parameters from the NDVIInternational Journal of Remote Sensing, 1994
- A global 1° by 1° NDVI data set for climate studies derived from the GIMMS continental NDVI dataInternational Journal of Remote Sensing, 1994
- A computer model of the solar radiation, soil moisture, and soil thermal regimes in boreal forestsEcological Modelling, 1989
- Characteristics of maximum-value composite images from temporal AVHRR dataInternational Journal of Remote Sensing, 1986