Matthew Cashman is a Geomorphologist at the MD-DE-DC Water Science Center.
Matthew's interests are in the interdisciplinary interactions between hydrology, geomorphology, and ecology. His current research focuses on machine-learning modeling of ecological and habitat conditions, erosion and habitat mapping using Unmanned Aerial Systems and gage data, and developing tools to identify the sources of sediment degrading river habitat, including sediment fingerprinting.
Professional Experience
Geomorphologist, U.S. Geological Survey (USGS), Baltimore, MD; Aug 2016 - Present
Geomorphologist and hydrologist working at the Maryland/ Delaware/ DC Water Science Center conducting research on excess fine sediment in the Chesapeake Bay Watershed using sediment fingerprinting techniques
Education and Certifications
B.S., Biological Sciences, Fordham University, Bronx, NY
M.S., Biological Sciences (Ecology), Fordham University, Bronx, NY
Ph.D., River Science, Queen Mary University of London and Freie Universität Berlin
Dissertation: The effect of large wood on river physical habitat and nutritional dynamics
Abstracts and Presentations
Cashman MJ. 2018. Structure-from-Motion surveying: A paradigm shift in geomorphic monitoring (invited seminar). Towson University. Towson, MD; March 9, 2018.
Cashman MJ and J Bell. 2018. Structure-from-Motion Surveying:
Science and Products
Chesapeake Bay Aquatic Habitat Assessments
Tracking Status and Trends in Seven Key Indicators of River and Stream Condition in the Chesapeake Bay Watershed
From reactive- to condition-based maintenance: Artificial intelligence for anomaly predictions and operational decision-making
Geomorphology and Sediment Capabilities @ MD-DE-DC
Coding and Statistical Data Capabilities @ MD-DE-DC
MD-DE-DC WSC Seminar Series
In the pursuit of serving the public world-class science and data through a culture of excellence, our center seminar series is intended to showcase the best of our region's research into our water resources and to promote inter-disciplinary collaborations between federal, state, local governments, academia, and the general public.
Questions? Contact Zach Clifton at zclifton@usgs.gov.
Ecological, Geomorphological, Sedimentological, and Geochemical Records of Pre- and Post-Colonial Riparian Ecosystems in Anne Arundel County, Maryland
Literature review results and regulatory summaries of freshwater stressors influencing biological impairment in the Chesapeake Bay watershed, USA
Sediment Sample Data for Identifying and Monitoring Source Sediment Fingerprints within Stony Clove Creek, Catskills, NY from 2017 to 2020
Visible and near-infrared spectroscopy for sediment samples collected across North-eastern U.S.
Data for Specific Gage Analysis on the Patapsco River, 2010-2017
Low-altitude aerial imagery from unmanned aerial systems (UAS) at select locations over the Potomac River, October 2019
Source and target sediment fingerprint data for Upper Difficult Run, VA
Tracking status and trends in seven key indicators of stream health in the Chesapeake Bay watershed
Quantifying connectivity and its effects on sediment budgeting for an agricultural basin, Chesapeake Bay Watershed, United States
Identifying key stressors driving biological impairment in freshwater streams in the Chesapeake Bay watershed, USA
Explainable machine learning improves interpretability in the predictive modeling of biological stream conditions in the Chesapeake Bay Watershed, USA
Using fish community and population indicators to assess the biological condition of streams and rivers of the Chesapeake Bay watershed, USA
Time marches on, but do the causal pathways driving instream habitat and biology remain consistent?
Linking altered flow regimes to biological condition: An example using benthic macroinvertebrates in small streams of the Chesapeake Bay watershed
Channel response to a dam‐removal sediment pulse captured at high‐temporal resolution using routine gage data
Sediment dynamics and implications for management: State of the science from long‐term research in the Chesapeake Bay watershed, USA
Bank‐derived material dominates fluvial sediment in a suburban Chesapeake Bay watershed
Sediment Source Assessment Using Sediment Fingerprints
Science and Products
- Science
Chesapeake Bay Aquatic Habitat Assessments
Eastern Ecological Science Center research ecologists are working with state and local partners to develop multiple biological assessments of non-tidal stream and river conditions in the Chesapeake Bay watershed.Tracking Status and Trends in Seven Key Indicators of River and Stream Condition in the Chesapeake Bay Watershed
Identifying and tracking the status of, and trends in, stream health within the Chesapeake Bay watershed is essential to understanding the past, present, and future trajectory of the watershed’s resources and ecological condition. A team of USGS ecosystem scientists is meeting this need with an initiative to track the status of, and trends in, key indicators of the health of non-tidal freshwater...From reactive- to condition-based maintenance: Artificial intelligence for anomaly predictions and operational decision-making
The USGS maintains an extensive monitoring network throughout the United States in order to protect the public and help manage natural resources. This network generates millions of data points each year, all of which must be evaluated and reviewed manually for quality assurance and control. Sensor malfunctions and issues can result in data losses and unexpected costs, and are typically only noticeGeomorphology and Sediment Capabilities @ MD-DE-DC
Geomorphology is classified as the study of the origin and evolution of topographic and bathymetric features created by physical, chemical or biological processes operating at or near the Earth's surface. Adding water creates a whole new dynamic known as Fluvial Morphology. Rivers and streams act as conduits of water along with sediment. As water flows over the channel bed, it is able to mobilize...Coding and Statistical Data Capabilities @ MD-DE-DC
This site is dedicated to Coding and Statistical Data that is produced and analyzed by scientists at the MD-DE-DC WSC. We use many tools at the USGS including software exclusively developed for, sometimes written by the USGS.MD-DE-DC WSC Seminar Series
In the pursuit of serving the public world-class science and data through a culture of excellence, our center seminar series is intended to showcase the best of our region's research into our water resources and to promote inter-disciplinary collaborations between federal, state, local governments, academia, and the general public.
Questions? Contact Zach Clifton at zclifton@usgs.gov.
- Data
Ecological, Geomorphological, Sedimentological, and Geochemical Records of Pre- and Post-Colonial Riparian Ecosystems in Anne Arundel County, Maryland
This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). Ten shapefiles are also included, nine of which represent thLiterature review results and regulatory summaries of freshwater stressors influencing biological impairment in the Chesapeake Bay watershed, USA
This data release contains relevant datasets used in the analysis for the Chesapeake Bay stressor identification project, for which results are described in Fanelli and others (in review). For this project, two existing information sources were compiled and summarized to identify key in-stream stressors reported by the scientific literature or through regulatory assessments to be likely affectingSediment Sample Data for Identifying and Monitoring Source Sediment Fingerprints within Stony Clove Creek, Catskills, NY from 2017 to 2020
This data release includes five comma delimited tables that support a pilot study on identifying and monitoring source sediment fingerprints within Stony Clove Creek, Catskills, NY. These tables consist of sediment particle size information, elemental analysis results, stable isotope analysis results, and percent fines for the samples collected. "SourceSamples_Info.csv" and "TargetSamples_Info.csvVisible and near-infrared spectroscopy for sediment samples collected across North-eastern U.S.
This data record contains a CSV file with spectral reflectance (420-2114 nm) for sediment samples collected from each of four source locations (cropland, stream bank, glaciolacustrine, and street dust) located across sites in the Northwestern US during prior studies. Data were collected in a laboratory setting using Spectrecology USB4000-VIS-NIR and NIRQuest512-2.2 spectrometers. The data containData for Specific Gage Analysis on the Patapsco River, 2010-2017
The U.S. Geological Survey, in collaboration with American Rivers and other partners, conducted a monitoring program beginning in 2010 to track river response to a series of dam removals on the Patapsco River intended to restore anadromous fish habitat in the watershed. Dam removals included the November 2010 removal of the Simkins dam, a 3.3 m tall and 66 m wide dam, with a reservoir sediment volLow-altitude aerial imagery from unmanned aerial systems (UAS) at select locations over the Potomac River, October 2019
These digital images were taken at select locations over the Potomac River using 3DR Solo unmanned aircraft systems (UAS) in October 2019. These images were collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Each UAS was equipped with a Ricoh GRII digital camera for natural color photos, used to produce digital elevaSource and target sediment fingerprint data for Upper Difficult Run, VA
This metadata record documents 2 comma delimited tables that support the journal article "Bank-derived material dominates fluvial sediment in a suburban Chesapeake Bay watershed." They consist of a source and target dataset. - Multimedia
- Publications
Tracking status and trends in seven key indicators of stream health in the Chesapeake Bay watershed
This product is temporarily unavailable.AuthorsSamuel H. Austin, Matt J. Cashman, John Clune, James E. Colgin, Rosemary M. Fanelli, Kevin P. Krause, Emily H. Majcher, Kelly O. Maloney, Chris A. Mason, Doug L. Moyer, Tammy M. ZimmermanQuantifying connectivity and its effects on sediment budgeting for an agricultural basin, Chesapeake Bay Watershed, United States
Excessive sediment runoff as a result of anthropogenic activities is a major concern for watershed ecologic health. This study sought to determine the sources, storage, and delivery of sediment using a sediment budget approach for the predominantly pasture and forested Smith Creek watershed, Virginia United States, a tributary to the Chesapeake Bay. Utilizing a novel combination of the Universal SAuthorsZachary Clifton, Allen Gellis, Matt J. Cashman, Michelle Patricia Katoski, Lucas A Nibert, Gregory B. NoeIdentifying key stressors driving biological impairment in freshwater streams in the Chesapeake Bay watershed, USA
Biological communities in freshwater streams are often impaired by multiple stressors (e.g., flow or water quality) originating from anthropogenic activities such as urbanization, agriculture, or energy extraction. Restoration efforts in the Chesapeake Bay watershed, USA seek to improve biological conditions in 10% of freshwater tributaries and to protect the biological integrity of existing healtAuthorsRosemary M. Fanelli, Matt J. Cashman, Aaron J. PorterExplainable machine learning improves interpretability in the predictive modeling of biological stream conditions in the Chesapeake Bay Watershed, USA
Anthropogenic alterations have resulted in widespread degradation of stream conditions. To aid in stream restoration and management, baseline estimates of conditions and improved explanation of factors driving their degradation are needed. We used random forests to model biological conditions using a benthic macroinvertebrate index of biotic integrity for small, non-tidal streams (upstream area ≤2AuthorsKelly O. Maloney, Claire Buchanan, Rikke Jepsen, Kevin P. Krause, Matt J. Cashman, Benjamin Paul Gressler, John A. Young, Matthias SchmidUsing fish community and population indicators to assess the biological condition of streams and rivers of the Chesapeake Bay watershed, USA
The development of indicators to assess relative freshwater condition is critical for management and conservation. Predictive modeling can enhance the utility of indicators by providing estimates of condition for unsurveyed locations. Such approaches grant understanding of where “good” and “poor” conditions occur and provide insight into landscape contexts supporting such conditions. However, as aAuthorsKelly O. Maloney, Kevin P. Krause, Matt J. Cashman, Wesley Daniel, Benjamin Paul Gressler, Daniel J. Wieferich, John A. YoungTime marches on, but do the causal pathways driving instream habitat and biology remain consistent?
Stream ecosystems are complex networks of interacting terrestrial and aquatic drivers. To untangle these ecological networks, efforts evaluating the direct and indirect effects of landscape, climate, and instream predictors on biological condition through time are needed. We used structural equation modeling and leveraged a stream survey program to identify and compare important predictors drivingAuthorsRichard H Walker, Matthew J. Ashton, Matt J. Cashman, Rosemary M. Fanelli, Kevin P. Krause, Gregory B. Noe, Kelly O. MaloneyLinking altered flow regimes to biological condition: An example using benthic macroinvertebrates in small streams of the Chesapeake Bay watershed
Regionally scaled assessments of hydrologic alteration for small streams and its effects on freshwater taxa are often inhibited by a low number of stream gages. To overcome this limitation, we paired modeled estimates of hydrologic alteration to a benthic macroinvertebrate index of biotic integrity data for 4522 stream reaches across the Chesapeake Bay watershed. Using separate random-forest modelAuthorsKelly O. Maloney, Daren Carlisle, Claire Buchanan, Jennifer L. Rapp, Samuel H. Austin, Matt J. Cashman, John A. YoungChannel response to a dam‐removal sediment pulse captured at high‐temporal resolution using routine gage data
In this study, we captured how a river channel responds to a sediment pulse originating from a dam removal using multiple lines of evidence derived from streamflow gages along the Patapsco River, Maryland, USA. Gages captured characteristics of the sediment pulse, including travel times of its leading edge (~7.8 km yr−1) and peak (~2.6 km yr−1) and suggest both translation and increasing dispersioAuthorsMatt J. Cashman, Allen Gellis, Eric L. Boyd, Matthias J. Collins, Scott W. Anderson, Brett Dare Mcfarland, Ashley Mattie RyanSediment dynamics and implications for management: State of the science from long‐term research in the Chesapeake Bay watershed, USA
This review aims to synthesize the current knowledge of sediment dynamics using insights from long‐term research conducted in the watershed draining to the Chesapeake Bay, the largest estuary in the U.S., to inform management actions to restore the estuary and its watershed. The sediment dynamics of the Chesapeake are typical of many impaired watersheds and estuaries around the world, and this synAuthorsGregory B. Noe, Matt J. Cashman, Katherine Skalak, Allen Gellis, Kristina G. Hopkins, Doug L. Moyer, James S. Webber, Adam Benthem, Kelly O. Maloney, John Brakebill, Andrew Sekellick, Michael J. Langland, Qian Zhang, Gary W. Shenk, Jennifer L. D. Keisman, Cliff R. HuppBank‐derived material dominates fluvial sediment in a suburban Chesapeake Bay watershed
Excess fine sediment is a leading cause of ecological degradation within the Chesapeake Bay watershed. To effectively target sediment mitigation measures, it is necessary to identify and quantify the delivery of sediment sources to local waterbodies.This study examines the contributions of sediment sources within Upper Difficult Run, a suburbanized watershed in Fairfax County, Virginia. A source sAuthorsMatt J. Cashman, Allen Gellis, Lillian Gorman Sanisaca, Gregory B. Noe, Vanessa Cogliandro, Anna BakerSediment Source Assessment Using Sediment Fingerprints
ProblemSediment is one of the most common causes of loss of stream-biologic integrity, whether in suspension in the water column, or as deposition on a stream or lake bottom. Fine-grained silts and clays are of particular concern because they can degrade habitat and often carry phosphorus and (or) other contaminants harmful to humans and aquatic life. Sediment-impaired water bodies, usually identiAuthorsAllen C. Gellis, Lillian E. Gorman Sanisaca, Matthew J. Cashman - News