Kristin H. Braziunas

TL;DR: Study of recent fires in Greater Yellowstone asked whether short-interval stand-replacing fires can erode lodgepole pine forest resilience via increased burn severity, reduced early postfire tree regeneration, reduced carbon stocks, and slower carbon recovery.

TL;DR: Results suggest that, given a warmer future with larger and more frequent fires, a greater number of stands that fail to regenerate after fires combined with increasing density in stands where regeneration is successful could produce a more coarse-grained forest landscape.

TL;DR: There is a large gap between processes identified as underpinning forest resilience in the theoretical and empirical literature, and those represented in models used to assess forest resilience, highlighting the need for a new wave of model development to enhance understanding of and management for resilient forests.

TL;DR: In this paper, the authors applied a novel simulation approach assimilating data-driven fire projections with vegetation responses from process modeling by means of deep neural networks to quantified the future probability of regeneration failure, identified spatial hotspots, and assessed how current forest types differ in their ability to regenerate under future climate and fire.

TL;DR: In this paper, the authors compared fire risk at three scales: 1-ha home ignition zone (HIZ), 9-ha safe suppression zone (SSZ), and landscape.