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Climate change is altering the patterns and characteristics of fire across natural systems in the United States. Resource managers in the Southwest are faced with making natural resource and fire management decisions now, despite a lack of accessible information about how those decisions will play out as fire regimes, and their associated disturbances, will change across the landscape. Decision makers in natural-resource management increasingly require information about projected future changes in fire regimes to effectively prepare for and adapt to climate change impacts. An accessible and forward-looking summary of what we know about the “future of fire” is urgently required in the Southwest and across the country...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2020,
CASC,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
In recent years, a number of catastrophic wildfires have fundamentally changed species composition and structure across a large area of the Sierra Nevada of California. These fires leave behind many large, severely burned patches of land where the majority of trees have died. To make informed management decisions, forest managers need to understand the long-term effects of these fires on vegetation recovery and fuel loading. Large patches without trees might not reforest on their own which can cause forest loss; and, high-severity fires may lead to other high-severity fires by increasing the amount of fuel available to burn. Such repeat fires could lower the odds of any postfire forest recovery. By including...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2023,
CASC,
Data Visualization & Tools,
Data Visualization & Tools,
Drought, Fire and Extreme Weather,
Postfire Spatial Conifer Restoration Planning Tool (POSCRPT) R package (and web version) predicts the probability of post-fire conifer regeneration for fire data supplied by the user. The predictive model was fit using presence/absence data collected five years after wildfire, from 1,234 4.4m radius plots (60m2), spanning 19 wildfires in California. Please refer to Stewart et al. (2020) for more details. The poscrptR tool is designed to simplify the process of predicting post-fire conifer regeneration under different precipitation and seed production scenarios. The app was designed to use Rapid Assessment of Vegetative Condition (RAVG) data inputs. The RAVG website has both RdNBR and fire perimeter data sets...
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