The integrity of Amazon forests are currently threatened by climate
change, deforestation, and fire. However, it is unclear how these agents
of change interact over large spatial and temporal domains and reducing
this uncertainty is important for projecting changes in carbon stocks
and species biogeography, and could better inform continental scale
conservation programs. With this in mind, above ground biomass and tree
cover data were produced using the dynamic global vegetation model,
LPJmL, with 9 different global climate models (using the SRES A2
emissions storyline) and 2 different deforestation scenarios (from
Soares et al.). The existing fire module was modified to include
'escaped fire' associated with deforestation, and included feedbacks
from climate change as temperatures warm and litter moisture decreases.
The data presented here include control simulations (i.e., no climate
change, no deforestation, and no fire) to provide baselines for
comparing with projected global change influences. In total, 10 climate
scenarios, 6 deforestation and fire scenarios, and 5 time slices are
presentation (n = 300) for above ground biomass and tree cover.