Nathaniel G. Plant
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View article: 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 Open
Evaluation of sea‐level rise (SLR) impacts on coastal landforms and habitats is a persistent need for informing coastal planning and management, including policy decisions, particularly those that balance human interests and habitat protec…
View article: 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 Open
Forecasting biogeomorphological conditions for barrier islands is critical for informing sea‐level rise (SLR) planning, including management of coastal development and ecosystems. We combined five probabilistic models to predict SLR‐driven…
View article: Satellite-Derived Barrier Response and Recovery Following Natural and Anthropogenic Perturbations, Northern Chandeleur Islands, Louisiana
Satellite-Derived Barrier Response and Recovery Following Natural and Anthropogenic Perturbations, Northern Chandeleur Islands, Louisiana Open
The magnitude and frequency of storm events, relative sea-level rise (RSLR), sediment supply, and anthropogenic alterations drive the morphologic evolution of barrier island systems, although the relative importance of any one driver will …
View article: Piping plovers demonstrate regional differences in nesting habitat selection patterns along the U.S. Atlantic coast
Piping plovers demonstrate regional differences in nesting habitat selection patterns along the U.S. Atlantic coast Open
Habitat studies that encompass a large portion of a species’ geographic distribution can explain characteristics that are either consistent or variable, further informing inference from more localized studies and improving management succe…
View article: Development and Application of an Empirical Dune Growth Model for Evaluating Barrier Island Recovery from Storms
Development and Application of an Empirical Dune Growth Model for Evaluating Barrier Island Recovery from Storms Open
Coastal zone managers require models that predict barrier island change on decadal time scales to estimate coastal vulnerability, and plan habitat restoration and coastal protection projects. To meet these needs, methods must be available …
View article: 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 Open
Context Coastal landscapes evolve in response to sea-level rise (SLR) through a variety of geologic processes and ecological feedbacks. When the SLR rate surpasses the rate at which these processes build elevation and drive lateral migrati…
View article: Blind testing of shoreline evolution models
Blind testing of shoreline evolution models Open
Beaches around the world continuously adjust to daily and seasonal changes in wave and tide conditions, which are themselves changing over longer time-scales. Different approaches to predict multi-year shoreline evolution have been impleme…
View article: Application of decadal modeling approach to forecast barrier island evolution, Dauphin Island, Alabama
Application of decadal modeling approach to forecast barrier island evolution, Dauphin Island, Alabama Open
First posted March 2, 2020 For additional information, contact: St. Petersburg Coastal and Marine Science CenterU.S. Geological Survey600 4th Street SouthSt. Petersburg, FL 33701 Forecasting barrier island evolution provides coastal manage…
View article: Development of a modeling framework for predicting decadal barrier island evolution
Development of a modeling framework for predicting decadal barrier island evolution Open
First posted March 2, 2020 For additional information, contact: St. Petersburg Coastal and Marine Science CenterU.S. Geological Survey600 4th Street SouthSt. Petersburg, FL 33701 Predicting the decadal evolution of barrier island systems i…
View article: A pragmatic approach for comparing species distribution models to increasing confidence in managing piping plover habitat
A pragmatic approach for comparing species distribution models to increasing confidence in managing piping plover habitat Open
Conservation management often requires decision‐making without perfect knowledge of the at‐risk species or ecosystem. Species distribution models (SDMs) are useful but largely under‐utilized due to model uncertainty. We used an ensemble mo…
View article: Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat
Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat Open
Coastal storms have consequences for human lives and infrastructure but also create important early successional habitats for myriad species. For example, storm-induced overwash creates nesting habitat for shorebirds like piping plovers (C…
View article: 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 Open
Understanding land loss or resilience in response to sea-level rise (SLR) requires spatially extensive and continuous datasets to capture landscape variability. We investigate the sensitivity and skill of a model that predicts dynamic resp…
View article: SHORECASTS: A BLIND-TEST OF SHORELINE MODELS
SHORECASTS: A BLIND-TEST OF SHORELINE MODELS Open
Predictions of shoreline change are of great societal importance, but models tend to be tested and tuned for the specific site of interest. To overcome this issue and test the ability of numerical models to simulate shoreline change over t…
View article: PREDICTING DUNE EROSION WITH COMBINED PROCESS-BASED AND MULTIVARIATE STATISTICAL MODELS
PREDICTING DUNE EROSION WITH COMBINED PROCESS-BASED AND MULTIVARIATE STATISTICAL MODELS Open
Oceanographic variables such as mean sea level, tides, storm surges, and waves are drivers of erosion, and they act on different time scales ranging from hours (associated with weather) to seasonal and decadal variations and trends (associ…
View article: A PROBABILISTIC MODEL OF REGIONAL-SCALE RESPONSE TO EXTREME STORM EVENTS
A PROBABILISTIC MODEL OF REGIONAL-SCALE RESPONSE TO EXTREME STORM EVENTS Open
Predicting beach erosion caused by extreme storms remains a key focus of the coastal engineering community, having important implications for both emergency and long-term coastal management and planning. In June 2016, an extra-tropical cyc…
View article: Relationships between regional coastal land cover distributions andelevation reveal data uncertainty in a sea-level rise impacts model
Relationships between regional coastal land cover distributions andelevation reveal data uncertainty in a sea-level rise impacts model Open
Understanding land loss or resilience in response to sea-level rise (SLR) requires spatially extensive and continuous datasets to capture landscape variability. We investigate sensitivity and skill of a model that predicts dynamic response…
View article: Field Observations of Alongshore Runup Variability Under Dissipative Conditions in the Presence of a Shoreline Sandwave
Field Observations of Alongshore Runup Variability Under Dissipative Conditions in the Presence of a Shoreline Sandwave Open
Video measurements of runup were collected at low tide along several profiles covering an alongshore distance of 500 m. The morphology displayed a complex shape with a shoreline sandwave in the lower beach face of about 250 m long mirrored…
View article: A Review of Machine Learning Applications to Coastal Sediment Transport and Morphodynamics
A Review of Machine Learning Applications to Coastal Sediment Transport and Morphodynamics Open
A range of computer science methods termed machine learning (ML) enables the extraction of insight and quantitative relationships from multidimensional datasets. Here, we review the use of ML on supervised regression tasks in studies of co…
View article: Rapid, Remote Assessment of Hurricane Matthew Impacts Using Four-Dimensional Structure-from-Motion Photogrammetry
Rapid, Remote Assessment of Hurricane Matthew Impacts Using Four-Dimensional Structure-from-Motion Photogrammetry Open
Sherwood, C.R.; Warrick, J.A.; Hill, A.D.; Ritchie, A.C.; Andrews, B.D., and Plant, N.G., 2018. Rapid, remote assessment of Hurricane Matthew impacts using four-dimensional structure-from-motion photogrammetry.Timely assessment of coastal …
View article: Science for a risky world—A U.S. Geological Survey plan for risk research and applications
Science for a risky world—A U.S. Geological Survey plan for risk research and applications Open
First posted September 17, 2018 For additional information, contact: Office of Associate Director, Natural HazardsU.S. Geological Survey12201 Sunrise Valley DriveReston, VA 20192 Natural hazards—including earthquakes, tsunamis, volcanic er…
View article: Barrier-island and estuarine-wetland physical-change assessment after Hurricane Sandy
Barrier-island and estuarine-wetland physical-change assessment after Hurricane Sandy Open
First posted April 3, 2018 For additional information, contact: Director, St. Petersburg Coastal and Marine Science Center U.S. Geological Survey 600 4th Street South St. Petersburg, FL 33701 The Nation’s eastern coast is fringed by beache…
View article: Coastal Topography-Chandeleur Islands, Louisiana, 23-25 June 2016
Coastal Topography-Chandeleur Islands, Louisiana, 23-25 June 2016 Open
Lidar-derived seamless (bare earth and submerged) topography Digital Elevation Model (DEM) mosaic and classified point-cloud datasets of the Chandeleur Islands, Louisiana were produced from remotely sensed, geographically referenced elevat…
View article: Smartphone technologies and Bayesian networks to assess shorebird habitat selection
Smartphone technologies and Bayesian networks to assess shorebird habitat selection Open
Understanding patterns of habitat selection across a species’ geographic distribution can be critical for adequately managing populations and planning for habitat loss and related threats. However, studies of habitat selection can be time …
View article: Correction of elevation offsets in multiple co-located lidar datasets
Correction of elevation offsets in multiple co-located lidar datasets Open
First posted April 7, 2017 For additional information, contact: St. Petersburg Coastal and Marine Science Center U.S. Geological Survey 600 4th Street South St. Petersburg, FL 33701 http://coastal.er.usgs.gov/ Topographic elevation data co…
View article: A methodology for modeling barrier island storm-impact scenarios
A methodology for modeling barrier island storm-impact scenarios Open
First posted February 16, 2017 Revised March 29, 2017 For additional information, contact: Director, St. Petersburg Coastal and Marine Science Center U.S. Geological Survey 600 4th Street South St. Petersburg, FL 33701 http://coastal.er.us…
View article: EAARL Coastal Topography-Chandeleur Islands, Louisiana, 4-5 September 2010: Seamless (Bare Earth and Submerged)
EAARL Coastal Topography-Chandeleur Islands, Louisiana, 4-5 September 2010: Seamless (Bare Earth and Submerged) Open
This XYZ dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides lidar-derived seamless (bare earth and submerged) topography for the Chandeleur Islands in Louisiana. Elevation measurement…