We developed a process that links the mechanistic power of dynamic global vegetation
models with the detailed vegetation dynamics of state-and-transition models to project local …

This study focuses on potential impacts of 21st century climate change on vegetation in the
Southwest United States, based on debiased and interpolated climate projections from 17 …

Anthropogenic drivers of global change include rising atmospheric concentrations of carbon
dioxide and other greenhouse gasses and resulting changes in the climate, as well as …

Our hypothesis is that a high diversity of dominant life forms in Tennessee forests conveys
resilience to disturbance such as climate change. Because of uncertainty in climate change …

Large shifts in species ranges have been predicted under future climate scenarios based
primarily on niche‐based species distribution models. However, the mechanisms that would …

Projections of vegetation distribution that incorporate the transient responses of vegetation
to climate change are likely to be more efficacious than those that assume an equilibrium …

Understanding disturbance and recovery of forest landscapes is a challenge because of
complex interactions over a range of temporal and spatial scales. Landscape simulation …

To simulate stand-level impacts of climate change, predictors in the widely used Forest
Vegetation Simulator (FVS) were adjusted to account for expected climate effects. This was …

No single model can address forest change from single tree to regional scales. We discuss a
framework linking an ecosystem process model (linkages) with a spatial landscape model …

Reliable assessments of how human activities will affect wildlife populations are essential
for making scientifically defensible resource management decisions. A principle challenge …