Greenhouse gas emissions from alternative futures of deforestation and agricultural management in the southern Amazon.
The Brazilian Amazon is one of the most rapidly developing agricultural areas in the world and represents a potentially large future source of greenhouse gases from land clearing and subsequent agricultural management. In an integrated approach, we estimate the greenhouse gas dynamics of natural ecosystems and agricultural ecosystems after clearing in the context of a future climate. We examine scenarios of deforestation and postclearing land use to estimate the future (2006-2050) impacts on carbon dioxide (CO(2)), methane (CH(4)), and nitrous oxide (N(2)O) emissions from the agricultural frontier state of Mato Grosso, using a process-based biogeochemistry model, the Terrestrial Ecosystems Model (TEM). We estimate a net emission of greenhouse gases from Mato Grosso, ranging from 2.8 to 15.9 Pg CO(2)-equivalents (CO(2)-e) from 2006 to 2050. Deforestation is the largest source of greenhouse gas emissions over this period, but land uses following clearing account for a substantial portion (24-49%) of the net greenhouse gas budget. Due to land-cover and land-use change, there is a small foregone carbon sequestration of 0.2-0.4 Pg CO(2)-e by natural forests and cerrado between 2006 and 2050. Both deforestation and future land-use management play important roles in the net greenhouse gas emissions of this frontier, suggesting that both should be considered in emissions policies. We find that avoided deforestation remains the best strategy for minimizing future greenhouse gas emissions from Mato Grosso.
Galford
Gillian L
GL
The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA 02543, USA. gg2405@columbia.edu
Melillo
Jerry M
JM
Kicklighter
David W
DW
Cronin
Timothy W
TW
Cerri
Carlos E P
CE
Mustard
John F
JF
Cerri
Carlos C
CC
D000383:Agriculture / Q000458:organization & administration*; D001938:Brazil; D058572:Carbon Footprint; D003247:Conservation of Natural Resources; D017753:Ecosystem; D016468:Forestry / Q000379:methods / Q000639:trends; D017752:Greenhouse Effect; D014197:Trees / Q000254:growth & development