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,
aboveground 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
aboveground biomass and tree cover.
Datasets for all scenarios and time slices are available in the
gallery: http://app.databasin.org/app/pages/galleryPage.jsp?id=92f11651fe8d4c33ae597b36357c2bbf