We review the carbon balance and trends over the last decades, as well as their determinants, for South America as part of a catalogue of similar regional syntheses covering the globe for the RECCAP (REgional Carbon Cycle Assessment and Pro- 5 cesses) effort. South America as a region has attracted the attention of global carbon cycle and climate researchers mainly because of the very large amount of organic carbon stored in its rainforests. Amazonia contains on the order of 95120 PgC in living biomass and additional 160 PgC in soils (Gibbs et al., 2007; Malhi et al., 2006; Saatchi et al., 2011; Jobaggy and Jackson 2000; Appendix 2). To place this in perspective in 10 total this is approximately half of the amount of carbon contained in the atmosphere before the beginning of the industrialization in the 18th century. A substantial fraction of these carbon pools is thus amenable to release to the atmosphere on short timescales (decades) by deforestation. On the other hand, because of their vast size the forests also have the potential to slightly moderate the global carbon problem by taking 15 up carbon and thereby mitigating some emissions due to the burning of fossil fuels. However, this effect will eventually saturate. Hence two main factors will likely dictate future changes in forest biomass. Firstly, the current fast demographic and economic development (e.g., Soares-Filho et al., 2006), and secondly changes in forest biomass and biome boundaries caused by changes in atmospheric gas composition and any 20 associated climate change (e.g., Phillips et al., 2009; Marimon et al., 2006). The development of the region is associated directly with forest destruction mainly for agricultural use (e.g., DeFries et al., 2010), while changes brought about by altered climate and atmospheric composition on forests are subtler. Specifically, increases in carbon dioxide concentration and/or changes in direct light may stimulate tree growth 25 and in turn rainforest biomass gains (Lloyd and Farquhar, 1996; Mercado et al., 2009). There is strong evidence for such a process having occurred over the last decades and is still ongoing (Phillips et al., 1998, 2009; Lewis et al., 2009). In contrast the changing climate has also been hypothesized to have adverse effects on tropical rainforests. As for other parts of the globe, warming of the Earths surface is predicted to result in an increase in climate variation in South America (Held and Soden, 2006) including likely increased frequency and intensity of dry periods. Such increased variation, together with a general global warming, may possibly lead to forest decline through enhanced 5 water stress, and drought induced forest loss may be further amplified by fire (White et al., 1999; Cox et al., 2000; Poulter et al., 2010; Nepstad et al., 1999; Aragao and Shimabukuro, 2010). Altogether it is the interplay between the very large area covered by high carbon density intact forests, and the very fast economical and demographic development and a changing climate, which make South America of particular interest 10 for its role in the contemporary carbon cycle and, in turn, to climate over the decades to come. The purpose of this study is to give a state of the art assessment of South American carbon stocks, fluxes and time trends, and their dominant controls. Further, we will assess the role of South America in the carbon cycle over the last decades in or15 der to provide an indication for what to expect in the decades to come. The paper is structured as follows. We start with a characterization of main biomes, stocks, mean climate, climate trends, demography and economic development. We then present and discuss stocks and carbon fluxes associated with different processes and estimated using complementary methods. Dominant processes, in a loose sense, fall into 20 the categories of fossil fuel emissions, deforestation, agriculture and trade, and rainforest tree growth trends. We then also discuss inferences from atmospheric greenhouse gas concentration patterns on carbon sources and sinks using atmospheric transport inverse modelling and vegetation model estimates, whilst recognising these two methods are still in stages of development.
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