Observed versus predicted multinomial probabilities of a fire reaching size class a) (0-1] ha b) (1-100) ha c) >100ha. The value n in each panel is the total number of fires in the corresponding size class during the study period. d) observed versus predicted probability of a bark beetle occurrence in a given one km2 grid cell.
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So. Appalachian
Environmental Threats
Land
Air & Water
Fire
Pests/Biota
Case Studies
Case Study: Spread of Invasive Plants from Roads to River Systems in Alaska
Case Study: Evaluating Wildland Fire Danger and Prioritizing Treatments
Case Study: Analyzing Risks Using the Human Modification Framework
Case Study: Modeling Species' Climatic Niche Space & Response to Global Warming
Case Study: Evaluating the Vulnerability of Maine Forests to Wind Damage
Case Study: Information Needs, Acceptability of Risk, Trust, and Reliance
Case Study: The Experience of Community Residents in a Fire-Prone Ecosystem
Case Study: Probabilistic Risk Models for Multiple Disturbances: Insects and Wildfires
Conclusions
Case Study: Population Genetic Structure and Plant Response to Climate Change
Case Study: Assessment of Habitat Threats to Shrublands in the Great Basin
Case Study: Establishing a Nationwide Baseline of Historical Burn Severity Data
Case Study: Threats to Private Forest Lands in the U.S.A.
Case Study: A Spatial Model for Predicting Effects of Climate Change
Case Study: Assessment of Oak Wilt Threat to Habitat of the Golden-Cheeked Warbler
Case Study: Managing Wildland Fire Risk in Florida
Case Study: Utilizing Remotely Sensed Data & Elementary Analytical Techniques to Examine Storm Damage Modeling
Case Study: An Aquatic Multi-Scale Assessment and Planning Framework Approach
Case Study: A Landscape Scale Remote Sensing/GIS Tool to Assess Eastern Hemlock Vulnerability
Case Study: Modeling Potential Movements of the Emerald Ash Borer
Case Study: Assessing Insect-Induced Tree Mortality
Case Study: Evaluating Impacts of Southern Pine Beetles and Hemlock Woolly Adelgids
Case Study: Using Historical Photography to Monitor and Assess Threats over Time
Case Study: Assessing Annual Risk of Southern Pine Beetle Outbreaks Using Pheromone Traps
Case Study: Digital Aerial Sketchmapping and Downlink Communications
Case Study: Integrating Natural Disturbances and Management Activities
Case Study: Modeling Current Climate Conditions for Forest Pest Risk Assessment
Case Study: Producing Local, Regional, and National Insect and Disease Risk Maps
Case Study: Uncertainty Estimation for Map-Based Analyses
Case Study: Assessing Risks to Multiple Resources Affected by Wildfire and Forest Management
Case Study: Moderate Resolution Data and Gradient Nearest Neighbor Imputation
Case Study: Risk Analysis and Guidelines for Harvest Activities to Minimize Oak Wilt Threat
Case Study: Previsual Detection of Two Conifer-Infesting Adelgid Species
Case Study: Estimating the Susceptibility to Phytophthora alni Globally
Case Study: Air Pollution Increases Forest Susceptibility to Wildfires, San Bernardino Mountains
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