The Coastal Landscape Response assessment creates multidecadal predictions of where and when the coast is likely to adapt or inundate. Results are produced for four decades—the 2020s, 2030s, 2050s, and 2080s.
Erika Lentz, PhD
I lead research at USGS within the Coastal and Marine Hazards and Resources Program focused on coastal change— including understanding the forces and processes that drive it, developing innovative methods to determine where and when it is likely to occur, and working closely with intended users to ensure the scientific information we produce is meaningful, actionable, and accessible.
I am a Research Geologist at the Woods Hole Coastal and Marine Science Center with the U.S. Geological Survey. My research focuses on coastal change and the processes that drive it over a range of spatial (barrier island to regional) and temporal (storms to sea level rise) scales in both natural and built environments. More recently, I have been exploring how coastal change varies among different ecosystems and across landscapes, what makes certain locations more resilient than others, and where coastal change is most likely to occur in the future. I am also interested in the communication of scientific information to support decision-making and use design thinking and transdisciplinary approaches to deeply consider user needs in the development of products and tools, as well as to foster creativity and innovation in research teams. Since 2017, I have led multidisciplinary project teams to explore these themes as both Principal Investigator and task leader.
Professional Experience
Research Geologist, USGS Woods Hole Coastal and Marine Science Center, 2016 – present
USGS Postdoctoral Researcher, USGS Woods Hole Coastal and Marine Science Center, 2014-2016
Mendenhall Postdoctoral Researcher, USGS Woods Hole Coastal and Marine Science Center 2012-2014
NSF IGERT Fellow, University of Rhode Island, 2005-2007
Education and Certifications
2011, Ph.D. in Geosciences, University of Rhode Island
2003, B.A. in Geology and Sociology, George Mason University
Science and Products
Mechanisms and Outcomes of Science Facilitation
Coastal Responses to Sea-Level Rise: Landscape-Scale Understanding in an Uncertain Future
Future Landscape Adaptation and Coastal Change (FLACC)
Connecting with our stakeholders - developing a better understanding of use and usability for science products
Coastal Change Likelihood
State of Our Nation's Coast
Coastal Change Hazards
Coastal Change at Fire Island, a geonarrative
Coastal System Change at Fire Island, New York
Probabilistic Framing
Sea-Level Rise Hazards and Decision Support
Breach Evolution - Coastal System Change at Fire Island, New York
National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2010s for the coast of Long Island Sound, New York and Connecticut National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2010s for the coast of Long Island Sound, New York and Connecticut
Coastal landscape response to sea-level change for the northeastern United States Coastal landscape response to sea-level change for the northeastern United States
Ground reference geospatial data collected on Fire Island National Seashore, NY, USA, September 16-19, 2024 Ground reference geospatial data collected on Fire Island National Seashore, NY, USA, September 16-19, 2024
Topographic and multispectral reflectance products, aerial imagery, spectral reflectance profiles, vegetation surveys, and associated GPS data collected during uncrewed aircraft system (UAS) operations: Assateague Island National Seashore, Maryland, Octob Topographic and multispectral reflectance products, aerial imagery, spectral reflectance profiles, vegetation surveys, and associated GPS data collected during uncrewed aircraft system (UAS) operations: Assateague Island National Seashore, Maryland, Octob
Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia
Topographic, imagery, and raw data associated with unmanned aerial systems (UAS) flights over Black Beach, Falmouth, Massachusetts on 18 March 2016 Topographic, imagery, and raw data associated with unmanned aerial systems (UAS) flights over Black Beach, Falmouth, Massachusetts on 18 March 2016
Post Hurricane Sandy Beach Profile Survey-Fire Island Inlet to Moriches Inlet 2013 Post Hurricane Sandy Beach Profile Survey-Fire Island Inlet to Moriches Inlet 2013
Coastal Topography-Fire Island, New York, 07 May 2012 Coastal Topography-Fire Island, New York, 07 May 2012
Coastal Landscape Response to Sea-Level Rise Assessment for the Northeastern United States Data Release Coastal Landscape Response to Sea-Level Rise Assessment for the Northeastern United States Data Release
Geologic cross section C-C' through the Appalachian basin from Erie County, north-central Ohio, to the Valley and Ridge province, Bedford County, south-central Pennsylvania Geologic cross section C-C' through the Appalachian basin from Erie County, north-central Ohio, to the Valley and Ridge province, Bedford County, south-central Pennsylvania
Geologic Cross Section D-D' Through the Appalachian Basin from the Findlay Arch, Sandusky County, Ohio, to the Valley and Ridge Province, Hardy County, West Virginia Geologic Cross Section D-D' Through the Appalachian Basin from the Findlay Arch, Sandusky County, Ohio, to the Valley and Ridge Province, Hardy County, West Virginia
The Coastal Landscape Response assessment creates multidecadal predictions of where and when the coast is likely to adapt or inundate. Results are produced for four decades—the 2020s, 2030s, 2050s, and 2080s.
Time-series of number of seabeach amaranth observed in end-of-season surveys by NPS biologists. Shaded regions specify years where drought conditions persisted through the amaranth growing season. Vertical lines denote strong storms that occurred during the observation period.
Time-series of number of seabeach amaranth observed in end-of-season surveys by NPS biologists. Shaded regions specify years where drought conditions persisted through the amaranth growing season. Vertical lines denote strong storms that occurred during the observation period.
Introduction to the USGS Coastal Science Navigator
Introduction to the USGS Coastal Science NavigatorThe Coastal Science Navigator is intended to help users discover USGS Coastal Change Hazards information, products, and tools relevant to their scientific or decision-making needs.
Introduction to the USGS Coastal Science Navigator
Introduction to the USGS Coastal Science NavigatorThe Coastal Science Navigator is intended to help users discover USGS Coastal Change Hazards information, products, and tools relevant to their scientific or decision-making needs.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast coastline in the next decade. Pictured here is coastal change likelihood on Cape Cod.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast coastline in the next decade. Pictured here is coastal change likelihood on Cape Cod.
Where are coastal landscapes likely to change?
Where are coastal landscapes likely to change?
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. The CCL data displayed here are for the mid-Atlantic Bight, and extend from the shoreline to 10m elevation inland.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. The CCL data displayed here are for the mid-Atlantic Bight, and extend from the shoreline to 10m elevation inland.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change, with data defining the drivers of change that impact the coast, such as waves and flooding. These data types are known as fabric and hazards, respectively.
The CCL assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change, with data defining the drivers of change that impact the coast, such as waves and flooding. These data types are known as fabric and hazards, respectively.
Data defining the drivers of change that impact the coast, such as waves and flooding are synthesized in hazards layers.
Data defining the drivers of change that impact the coast, such as waves and flooding are synthesized in hazards layers.
The assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change to produce the initial fabric layer.
The assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change to produce the initial fabric layer.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. Here is the CCL map for Chesapeake, Va.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. Here is the CCL map for Chesapeake, Va.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade.
Erika Lentz interview by WBZ Meteorologist, Danielle Niles
Erika Lentz interview by WBZ Meteorologist, Danielle NilesResearch geologist, Erika Lentz, interviewed on Trunk River Beach, Falmouth, MA, by WBZ meterologist, Danielle Niles, about the future impacts of sea-level rise
Erika Lentz interview by WBZ Meteorologist, Danielle Niles
Erika Lentz interview by WBZ Meteorologist, Danielle NilesResearch geologist, Erika Lentz, interviewed on Trunk River Beach, Falmouth, MA, by WBZ meterologist, Danielle Niles, about the future impacts of sea-level rise
Projecting management-relevant change of undeveloped coastal barriers with the Mesoscale Explicit Ecogeomorphic Barrier model (MEEB) v1.0 Projecting management-relevant change of undeveloped coastal barriers with the Mesoscale Explicit Ecogeomorphic Barrier model (MEEB) v1.0
Assessing decadal-scale coastal change likelihood to define the accuracy and application of scientific information Assessing decadal-scale coastal change likelihood to define the accuracy and application of scientific information
Pragmatically mapping Phragmites with unoccupied aerial systems: A comparison of invasive species land cover classification using RGB and multispectral imagery Pragmatically mapping Phragmites with unoccupied aerial systems: A comparison of invasive species land cover classification using RGB and multispectral imagery
Shaping the coast: Accounting for the human wildcard in projections of future change Shaping the coast: Accounting for the human wildcard in projections of future change
User engagement to improve coastal data access and delivery User engagement to improve coastal data access and delivery
Developing a habitat model to support management of threatened seabeach amaranth (Amaranthus pumilus) at Assateague Island National Seashore, Maryland and Virginia Developing a habitat model to support management of threatened seabeach amaranth (Amaranthus pumilus) at Assateague Island National Seashore, Maryland and Virginia
Development and application of a coastal change likelihood assessment for the northeast region, Maine to Virginia Development and application of a coastal change likelihood assessment for the northeast region, Maine to Virginia
Integrating Bayesian networks to forecast sea-level rise impacts on barrier island characteristics and habitat availability Integrating Bayesian networks to forecast sea-level rise impacts on barrier island characteristics and habitat availability
Predicted sea-level rise-driven biogeomorphological changes on Fire Island, New York: Implications for people and plovers Predicted sea-level rise-driven biogeomorphological changes on Fire Island, New York: Implications for people and plovers
Probabilistic patterns of inundation and biogeomorphic changes due to sea-level rise along the northeastern U.S. Atlantic coast Probabilistic patterns of inundation and biogeomorphic changes due to sea-level rise along the northeastern U.S. Atlantic coast
Relationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model Relationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model
Community for Data Integration fiscal year 2017 funded project report Community for Data Integration fiscal year 2017 funded project report
National Shoreline Change National Shoreline Change
Our Coasts Our Coasts
Sea Level Change Sea Level Change
Science and Products
Mechanisms and Outcomes of Science Facilitation
Coastal Responses to Sea-Level Rise: Landscape-Scale Understanding in an Uncertain Future
Future Landscape Adaptation and Coastal Change (FLACC)
Connecting with our stakeholders - developing a better understanding of use and usability for science products
Coastal Change Likelihood
State of Our Nation's Coast
Coastal Change Hazards
Coastal Change at Fire Island, a geonarrative
Coastal System Change at Fire Island, New York
Probabilistic Framing
Sea-Level Rise Hazards and Decision Support
Breach Evolution - Coastal System Change at Fire Island, New York
National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2010s for the coast of Long Island Sound, New York and Connecticut National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to the 2010s for the coast of Long Island Sound, New York and Connecticut
Coastal landscape response to sea-level change for the northeastern United States Coastal landscape response to sea-level change for the northeastern United States
Ground reference geospatial data collected on Fire Island National Seashore, NY, USA, September 16-19, 2024 Ground reference geospatial data collected on Fire Island National Seashore, NY, USA, September 16-19, 2024
Topographic and multispectral reflectance products, aerial imagery, spectral reflectance profiles, vegetation surveys, and associated GPS data collected during uncrewed aircraft system (UAS) operations: Assateague Island National Seashore, Maryland, Octob Topographic and multispectral reflectance products, aerial imagery, spectral reflectance profiles, vegetation surveys, and associated GPS data collected during uncrewed aircraft system (UAS) operations: Assateague Island National Seashore, Maryland, Octob
Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia
Topographic, imagery, and raw data associated with unmanned aerial systems (UAS) flights over Black Beach, Falmouth, Massachusetts on 18 March 2016 Topographic, imagery, and raw data associated with unmanned aerial systems (UAS) flights over Black Beach, Falmouth, Massachusetts on 18 March 2016
Post Hurricane Sandy Beach Profile Survey-Fire Island Inlet to Moriches Inlet 2013 Post Hurricane Sandy Beach Profile Survey-Fire Island Inlet to Moriches Inlet 2013
Coastal Topography-Fire Island, New York, 07 May 2012 Coastal Topography-Fire Island, New York, 07 May 2012
Coastal Landscape Response to Sea-Level Rise Assessment for the Northeastern United States Data Release Coastal Landscape Response to Sea-Level Rise Assessment for the Northeastern United States Data Release
Geologic cross section C-C' through the Appalachian basin from Erie County, north-central Ohio, to the Valley and Ridge province, Bedford County, south-central Pennsylvania Geologic cross section C-C' through the Appalachian basin from Erie County, north-central Ohio, to the Valley and Ridge province, Bedford County, south-central Pennsylvania
Geologic Cross Section D-D' Through the Appalachian Basin from the Findlay Arch, Sandusky County, Ohio, to the Valley and Ridge Province, Hardy County, West Virginia Geologic Cross Section D-D' Through the Appalachian Basin from the Findlay Arch, Sandusky County, Ohio, to the Valley and Ridge Province, Hardy County, West Virginia
The Coastal Landscape Response assessment creates multidecadal predictions of where and when the coast is likely to adapt or inundate. Results are produced for four decades—the 2020s, 2030s, 2050s, and 2080s.
The Coastal Landscape Response assessment creates multidecadal predictions of where and when the coast is likely to adapt or inundate. Results are produced for four decades—the 2020s, 2030s, 2050s, and 2080s.
Time-series of number of seabeach amaranth observed in end-of-season surveys by NPS biologists. Shaded regions specify years where drought conditions persisted through the amaranth growing season. Vertical lines denote strong storms that occurred during the observation period.
Time-series of number of seabeach amaranth observed in end-of-season surveys by NPS biologists. Shaded regions specify years where drought conditions persisted through the amaranth growing season. Vertical lines denote strong storms that occurred during the observation period.
Introduction to the USGS Coastal Science Navigator
Introduction to the USGS Coastal Science NavigatorThe Coastal Science Navigator is intended to help users discover USGS Coastal Change Hazards information, products, and tools relevant to their scientific or decision-making needs.
Introduction to the USGS Coastal Science Navigator
Introduction to the USGS Coastal Science NavigatorThe Coastal Science Navigator is intended to help users discover USGS Coastal Change Hazards information, products, and tools relevant to their scientific or decision-making needs.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast coastline in the next decade. Pictured here is coastal change likelihood on Cape Cod.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast coastline in the next decade. Pictured here is coastal change likelihood on Cape Cod.
Where are coastal landscapes likely to change?
Where are coastal landscapes likely to change?
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. The CCL data displayed here are for the mid-Atlantic Bight, and extend from the shoreline to 10m elevation inland.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. The CCL data displayed here are for the mid-Atlantic Bight, and extend from the shoreline to 10m elevation inland.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL is an updated version of the older Coastal Vulnerability Index, first published in 1999. While the original product was focused on change in the next 50-100 years based solely on sea level rise, the new CCL is more near-term, focusing on change over the next decade as a result of multiple coastal hazards.
The CCL assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change, with data defining the drivers of change that impact the coast, such as waves and flooding. These data types are known as fabric and hazards, respectively.
The CCL assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change, with data defining the drivers of change that impact the coast, such as waves and flooding. These data types are known as fabric and hazards, respectively.
Data defining the drivers of change that impact the coast, such as waves and flooding are synthesized in hazards layers.
Data defining the drivers of change that impact the coast, such as waves and flooding are synthesized in hazards layers.
The assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change to produce the initial fabric layer.
The assessment integrates data describing coastal characteristics, landscape composition, and the level of resistance to change to produce the initial fabric layer.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. Here is the CCL map for Chesapeake, Va.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade. Here is the CCL map for Chesapeake, Va.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade.
The U.S. Geological Survey, in cooperation with the National Park Service, developed the Coastal Change Likelihood assessment to determine the future likelihood of coastal change along the Northeast U.S. coastline in the next decade.
Erika Lentz interview by WBZ Meteorologist, Danielle Niles
Erika Lentz interview by WBZ Meteorologist, Danielle NilesResearch geologist, Erika Lentz, interviewed on Trunk River Beach, Falmouth, MA, by WBZ meterologist, Danielle Niles, about the future impacts of sea-level rise
Erika Lentz interview by WBZ Meteorologist, Danielle Niles
Erika Lentz interview by WBZ Meteorologist, Danielle NilesResearch geologist, Erika Lentz, interviewed on Trunk River Beach, Falmouth, MA, by WBZ meterologist, Danielle Niles, about the future impacts of sea-level rise