Kristin Byrd, Ph.D.
Landscape Ecology, Remote Sensing, and Decision Support for Natural Resources Management
Current Position
I am an applied landscape ecologist with expertise in vegetation ecology, remote sensing, integrated landscape modeling and stakeholder engagement. I lead interdisciplinary teams in landscape-scale studies of Nature-based Climate Solutions provided by wetlands and working lands. Research topics address coastal ecosystem controls on hurricane impacts and sustainability of ecosystem services. I integrate models of land use and management, climate and hydrological change to identify climate adaptation opportunities. I analyze multispectral and hyperspectral imagery to quantify ecosystem condition. My work spans U.S. coastal wetlands, the State of California and the Central Valley, California and Puget Sound, Washington. I emphasize the use of open data and open source software to easily reproduce, update and transfer information. All projects feature extensive outreach to land managers to aid natural resources decision making.
Current Projects
Team Member, Philippines Counter Wildlife Trafficking & Protected Area Management Project, U.S. Dept. of Interior International Technical Assistance Program short-term assignment. 2023 – 2024.
PI: “Climate-related impacts and restoration opportunities for culturally significant Klamath River willow riparian species.” USGS Southwest Climate Adaptation Science Center. 2024 – 2027.
Co-PI: "Triage and Decision Support Tool for Evaluating Vulnerability of Indigenous Shell Middens and Loss of Marsh Habitat Diversity to Sea Level Rise. USGS Southeast Climate Adaptation Science Center. 2024 – 2026. PI: Kathryn Smith, USGS St. Petersburg Coastal and Marine Science Center.
Senior Personnel: “Shifting Culture and Mitigating Inequities in Landscape Ecology Through a Collaborative Network of Professional Societies.” NSF Leading Culture Change Through Professional Societies of Biology (BIO-LEAPS). 2024 – 2029. PI: Kusum Naithani, University of Arkansas.
PI: “Remote Sensing of Mercury Speciation in South San Francisco Bay: Applications of Emerging Technologies to Track Management and Climate Impacts." USGS Bay-Delta Priority Ecosystem Studies Program. 2022 – 2026.
Co-PI: “Coastal wetland vulnerability to climate change and sea-level rise: understanding ecological thresholds and ecosystem transformations.” USGS Large Landscapes Priority Ecosystem Studies Program. 2023 – 2025. PI: Michael Osland, USGS Wetland and Aquatic Research Center.
Co-PI: SHIFT (NASA Surface Biology and Geology High Density Time Series) Field Campaign. NASA SBG. 2022 - 2023. Lead: Caltech Jet Propulsion Laboratory.
Co-PI: "Coastal Elevation Models and Land Surface Variables for Use in Forecasting Hurricane Impacts." Hurricane Coastal Impacts, Task 1, National Oceanographic Partnership Program. 2021 – 2024. PI: Dean Gesch, USGS EROS.
PI: "Remote Sensing and Forecasting Wetland and Watershed Ecosystem Services." USGS National Land Imaging Program. Ongoing.
Professional Experience
Research Physical Scientist, USGS Western Geographic Science Center, 2016 - present
Physical Scientist, USGS Western Geographic Science Center, 2009 - 2016
GIS Coordinator, California Academy of Sciences, San Francisco, CA, 2007 - 2008
Post-doctoral Researcher, Department of Environmental Science, Policy and Management, U.C. Berkeley, 2006
Education and Certifications
Ph.D., University of California, Berkeley
Environmental Science, Policy, and ManagementM.A., San Francisco State University
Ecology and SystematicsB.S., Cornell University, College of Agriculture and Life Sciences
Environmental Science
Affiliations and Memberships*
Co-Chair, California Biodiversity Network Systematic Conservation Planning Roundtable, 2023 - present
Councillor-at-Large and Chair, Equity, Inclusion and Diversity Committee, International Association of Landscape Ecology-North America, 2019 - 2023
Member, San Francisco Bay Wetlands Regional Monitoring Program People & Wetlands Working Group, 2024 - present
NASA Biodiversity and Ecological Forecasting Team member, 2017 - 2021
USGS Spectroscopy and Hyperspectral Imaging Collaboration member, 2019 - present
Member, Society for Conservation Biology, International Association for Landscape Ecology-North America, Ecological Society of America
Honors and Awards
Distinguished Service Award, International Association for Landscape Ecology - North American Region, 2022
USGS Environmental Achievement Award, 2024
Science and Products
Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington
Forecasting tidal marsh elevation and habitat change through fusion of Earth observations and a process model
Both real-time and long-term environmental data perform well in predicting shorebird distributions in managed habitat
Carbon flux, storage, and wildlife co-benefits in a restoring estuary
BERM: A Belowground Ecosystem Resiliency Model for estimating Spartina alterniflora belowground biomass
Editorial: Science and applications of coastal remote sensing
Sediment mobility and river corridor assessment for a 140-kilometer segment of the main-stem Klamath River below Iron Gate Dam, California
Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through remote sensing
Corrigendum to "A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States" [ISPRS J. Photogram. Rem. Sens.139 (2018) 255-271]
Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through time-series remote sensing
Scenarios of climate adaptation potential on protected working lands from management of soils
High-Resolution mapping of biomass and distribution of marsh and forested wetlands in southeastern coastal Louisiana
Status of tidal marsh mapping for blue carbon inventories
Uncertainty in United States coastal wetland greenhouse gas inventorying
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington
Forecasting tidal marsh elevation and habitat change through fusion of Earth observations and a process model
Both real-time and long-term environmental data perform well in predicting shorebird distributions in managed habitat
Carbon flux, storage, and wildlife co-benefits in a restoring estuary
BERM: A Belowground Ecosystem Resiliency Model for estimating Spartina alterniflora belowground biomass
Editorial: Science and applications of coastal remote sensing
Sediment mobility and river corridor assessment for a 140-kilometer segment of the main-stem Klamath River below Iron Gate Dam, California
Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through remote sensing
Corrigendum to "A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States" [ISPRS J. Photogram. Rem. Sens.139 (2018) 255-271]
Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through time-series remote sensing
Scenarios of climate adaptation potential on protected working lands from management of soils
High-Resolution mapping of biomass and distribution of marsh and forested wetlands in southeastern coastal Louisiana
Status of tidal marsh mapping for blue carbon inventories
Uncertainty in United States coastal wetland greenhouse gas inventorying
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government