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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,
Provided are data containing condition assessments on individual giant sequoia (Sequoiadendron giganteum; SEGI) stems and post-fire regeneration counts within Board Camp, Suwanee, New Oriole Lake, Homer’s Nose, and a subset of Redwood Mountain and Dillonwood groves of Sequoia and Kings Canyon national parks, respectively. Stem data contain condition-related attributes (e.g., spatial location, diameter breast height, status - live or dead, percent canopy that is live, scorched or torched). Regeneration plots are located using a spatially-balanced sampling design (Generalized Random Tessellation Stratified - 'GRTS'). Each regeneration plot is a fixed radius circle (11.35 meters or 17.84 meters) and contain count data...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ecology,
Forestry,
Sequoia National Park,
USGS Science Data Catalog (SDC),
biota,
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