Adaptation Science

SERDP and ESTCP efforts are improving the understanding of how to manage species and ecosystems that will be affected by climate change; studying how to enhance the resistance, resilience, or recovery capacity of natural infrastructure; and developing methods and tools to enhance the resilience of built structures.

Active Projects List
Project Title Start Date

Use of sUAS/UAS to Cost Effectively Monitor Eagle Nesting

Project Information
Project ID: RC18-5046
Principal Investigator: Samantha Phillips, Select Engineering Services
ESTCP Mar 2018

Windshield to Joystick: Demonstration and Validation of Unmanned Aerial Vehicles Monitoring Methodologies Used for Natural Resource Assessment on Military Lands

Project Information
Project ID: RC18-5091
Principal Investigator: Ms. Heidi Howard, U.S. Army Corps of Engineers - ERDC-CERL
ESTCP Mar 2018

Use of the “Data Mule” Unmanned Aircraft System to Remotely Download Ground Based Sensor Data on Military Lands

Project Information
Project ID: RC18-5101
Principal Investigator: David Delaney, U.S. Army CERL
ESTCP Mar 2018

Enhancing the Capability and Efficiency of DoD Land Management by Using Commercial Unmanned Aerial Vehicles to Assess the Impacts of Fires and Coastal Storms

Project Information
Project ID: RC18-5187
Principal Investigator: David Johnston, Duke University
ESTCP Mar 2018

Incorporating Photoperiodism in Insect Phenology Models with Application for Biological Control of Weeds on Department of Defense Lands

Project Information
Project ID: RC-2701
Principal Investigator: Dr. Fritzi Grevstad, Oregon State University
SERDP Jan 2017

Understanding the Effects of Changing Landscapes on the Population Status of Red-Cockaded Woodpeckers from Over 30 years of DoD Research

Project Information
Project ID: RC-2708
Principal Investigator: Dr. Susan Haig, U.S. Geological Survey
SERDP Jan 2017

Next-Generation Intensity-Duration-Frequency Curves Considering Spatiotemporal Non-Stationarity in Climate, Intense Precipitation Events, and Snowmelt

Project Information
Project ID: RC-2546
Principal Investigator: Dr. Mark Wigmosta, Pacific Northwest National Laboratory
SERDP Jan 2016

Conserving Listed and At-Risk Plants in a Non-Stationary World: A Predictive Framework for Assessing Risks and Guiding Management

Project Information
Project ID: RC-2508
Principal Investigator: Dr. Dov Sax, Brown University
SERDP Jan 2015

Empirical Dynamics: A New Paradigm for Understanding and Managing Species and Ecosystems in a Non-Stationary Nonlinear World

Project Information
Project ID: RC-2509
Principal Investigator: Dr. George Sugihara, Scripps Institution of Oceanography
SERDP Jan 2015

Flow-Population Models for Tracking Non-Stationary Changes in Riparian and Aquatic Ecosystems

Project Information
Project ID: RC-2511
Principal Investigator: Dr. David Lytle, Oregon State University
SERDP Jan 2015

Evaluating the Use of Spatially Explicit Population Models to Predict Conservation Reliant Species in Non-Analogue Future Environments on DoD Lands

Project Information
Project ID: RC-2512
Principal Investigator: Dr. Brian Hudgens, Institute for Wildlife Studies
SERDP Jan 2015

Effects of Global Change on Extreme Precipitation and Flooding: New Approaches to IDF and Regional Flood Frequency Estimation

Project Information
Project ID: RC-2513
Principal Investigator: Dr. Dennis Lettenmaier, University of California, Los Angeles
SERDP Jan 2015

Changes in Climate and Its Effect on Timing of Snowmelt and Intensity-Duration-Frequency Curves

Project Information
Project ID: RC-2515
Principal Investigator: Dr. Anna Wagner, Cold Regions Research and Engineering Laboratory
SERDP Jan 2015

Incorporation of the Effects of Future Anthropogenically-Forced Climate Change in Intensity-Duration-Frequency Design Values

Project Information
Project ID: RC-2517
Principal Investigator: Dr. Kenneth Kunkel, North Carolina State University / NC Institute for Climate Studies (NCICS)
SERDP Jan 2015

Developing Smart Infrastructure for a Changing Arctic Environment Using Distributed Fiber-Optic Sensing Methods

Project Information
Project ID: RC-2437
Principal Investigator: Dr. Jonathan Ajo-Franklin, Lawrence Berkeley National Laboratory
SERDP Jan 2014
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