Simulated forest dynamics (2016-2100) for six future climate-fire scenarios and five representative landscapes in Greater Yellowstone, USA

We simulated fire (incorporating fuels feedbacks) and forest dynamics on five landscapes
spanning the Greater Yellowstone Ecosystem (GYE) to ask: (1) How and where are forest
landscapes likely to change with 21st-century warming and fire activity? (2) Are future
forest changes gradual or abrupt, and do forest attributes change synchronously or
sequentially? (3) Can forest declines be averted by mid-21st-century stabilization of
atmospheric greenhouse gas (GHG) concentrations? We used the spatially explicit
individual-based forest model iLand to track multiple attributes (forest extent, stand age,
tree density, basal area, aboveground carbon stocks, dominant forest types, species
occupancy) through 2100 for six climate scenarios. The five study landscapes are
representative of dominant forest types and environmental gradients of the Northern Rockies;
collectively, they encompass nearly 300,000 ha, of which 279,488 ha are potentially
stockable with trees. This data set contains annual landscape-level output data for
simulations to 2100 with 6 climate scenarios (3 general circulation models x 2
representative concentration pathways) x 5 landscapes x 20 iterations of simulated fires. We
include the data and R scripts used for the analyses of abrupt change in the publication
associated with these data; all other analyses used standard functions in R.