Title:

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

Author(s):

Turner, Monica G.; Ratajczak, Zak; Braziunas, Kristin H.; Hoecker, Tyler J.

Publication Year:

2021

How to Cite:

If you use these data in a publication, presentation, or other research product please use the following citation:

Turner, Monica G.; Ratajczak, Zak; Braziunas, Kristin H.; Hoecker, Tyler J. 2021. Simulated forest dynamics (2016-2100) for six future climate-fire scenarios and five representative landscapes in Greater Yellowstone, USA. Environmental Data Initiative. https://doi.org/10.6073/pasta/e0c3aaa9b49478f9ebea8fce93b14fe7

Abstract:

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.

Keywords:

biota; Fire; Greys River; forest fire; simulation model; iLand; forest resilience; abrupt change; forest landscapes; Greater Yellowstone Ecosystem; Joint Fire Science Program; JFSP; Greater Yellowstone; Wyoming; Montana; Idaho; Yellowstone National Park; Grand Teton National Park; Bridger-Teton National Forest; Custer-Gallatin National Forest

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