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- Using Plants to Sustain Military Ranges
- Sonar Key to Detecting Underwater UXO
- Monitoring and Mapping Coral Reefs
- EPA-Approved Protocol for Range Characterization
- Robotic Laser Coating Removal System
- Understanding cis-DCE and VC Biodegradation
- Eliminating Cr from Medium Caliber Gun Barrels
- Predicting Responses to Landscape Changes
- Applying Statistics and Modeling to UXO Discrimination
- Composites with Low HAP Compounds
- Perchlorate-Free Flares Undergo Qualification Testing
- Recovering Energy from Landfill Gas
- Modeling Underwater UXO Mobility in Reef Environments
- Understanding the Behavioral Ecology of Cetaceans
- Forecasting the Effects of Stressors on At-Risk Species
- Advanced Signal Processing for UXO Discrimination
- Reducing Emissions for Jet Engines of the Future
- Assessing Vapor Intrusion at Chlorinated Solvent Sites
- Passive Sampling of Contaminated Sediments
- Leveraging Advanced Sensor Data to Clean Up UXO
- Source Zone Architecture Key to DNAPL Remediation
- Biopolymers Maintain Training Berms, Prevent Contamination
- Rare-Earth Corrosion Protection Mechanisms
- Cold Spray Technology for Aircraft Component Repair
- Ecological Research Supports Training at Camp Lejeune
- Loss of Permafrost – Impact on DoD Lands in Alaska
- Converting Solar Energy to Electricity and Heat
- ASETSDefense Workshop on Sustainable Surface Engineering
- Forward Operating Bases: Water and Waste Management
- Evaluating Matrix Diffusion Effects on Groundwater
- ES&T Features In Situ Sediment Remediation
- Erosion Resistant Coating Improves Engine Efficiency
- Optimizing Boiler Efficiency Through Combustion Control
- Climate Change Adaptation: Enhanced Decision Making
- Adapting Energy-Efficient Heat Pumps for Cold Climates
- Workshop on Sustainable Surface Engineering Advances
- Ecological Forestry & DoD’s Carbon Footprint
- Munitions Classification in the Hands of Production Firms
- Intelligent and Energy-Efficient LED Street Lighting
- ESTCP Partners with EPA on Watershed Management
- White House Energy Security Blueprint References ESTCP
- Success Classifying Munitions in Wooded Areas
- Evaluating Technology Performance at DNAPL Sites
- ‘Flyer’ Improves OB/OD Air Emissions Measurement
- Identifying Research Needs for Underwater Munitions
- Success Classifying Small Munitions at Camp Butner
- Managing Military Lands in the Southwest
- Partnering to Advance Munitions Classification
- ‘Flyer’ Improves OB/OD Air Emissions Measurement - Preview
- Sonar Identifies Underwater Munitions in Gulf Study
- Protective Coating Improves Jet Engine Fuel Efficiency
- Assessing Pacific Island Watershed Health
- New Insights Into Tracking Contaminants in Bedrock
- ClimaStat Technology Improves HVAC Efficiency
- Innovative Plating Process for Beryllium Alternatives
Forecasting the Effects of Stressors on At-Risk Species
Modeling tool helps land managers sustain training activities and meet stewardship responsibilities by simulating responses of at-risk species to multiple, interacting stressors.
- Dr. Joshua Lawler, University of Washington Forecasting the Relative and Cumulative Effects of Multiple Stressors on At-Risk Populations
DoD land managers face the dual responsibility of meeting the national security mission and stewardship responsibilities. DoD is one of the nation’s largest federal land managers and is responsible for managing more species at risk per acre than any other federal agency. If populations decline, both the military’s ability to use training ranges and the nation’s biologic treasures are put at risk.
At-risk species often face multiple interacting threats or stressors, such as invasive species, pollution, habitat loss and fragmentation, and disease. In the coming years, climate change will be a significant additional stressor. Land managers have traditionally addressed potential environmental stressors one at a time. But, given the complexity and potential interactions of these stressors, that one-at-a-time method is no longer effective.
To improve management of species facing multiple threats, Dr. Joshua Lawler and colleagues have developed a flexible, spatially explicit population model designed to simulate a wide range of species in complex and changing landscapes. They applied this model to three at-risk populations on three military installations—the red-cockaded woodpecker at Fort Benning, Georgia; the desert tortoise at Fort Irwin, California; and the black-capped vireo at Fort Hood, Texas—to investigate the effects of climate change, land-use change, military training, invasive species, and disease. These case studies provide critical insights into the importance of multiple interacting threats.
This research advances the ability to forecast the effects of multiple, interacting stressors and provides a practical modeling tool for DoD land managers. This tool will enhance the military’s ability to manage plant and animal populations while sustaining training and other essential activities today and in the future as we learn to adapt to climate change.
For this work, Dr. Lawler received a Project-of-the-Year award at the annual Partners in Environmental Technology Technical Symposium & Workshop held November 29 –December 1, 2011, in Washington, D.C.
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