Mahan, C. G. and J. A. Young. 2018. Natural resource condition assessment: New River Gorge National River. Technical Report NPS/NERI/NRR—2018/1622.
John A Young
Biography
Intro
John Young is a Research Biologist (Biogeography/GIS) at the USGS Leetown Science Center. His research interests include developing innovative applications of GIS and remote sensing technologies to assess the impact of landscape structure on the distribution of aquatic and terrestrial species and their habitats. His past research activities have included assessing watershed land use effects on aquatic communities, modeling the distribution of endangered, rare, and at risk plants and animals, remote sensing monitoring and assessment of forest vegetation communities, and characterizing forest structure and change using aerial lidar. His work has also included development of risk and vulnerability models using multi-criteria decision support tools and geospatial modeling, and development of spatial sampling designs for field data collection.
Education
- M.S. Geography, 1992, Virginia Tech
- B.A. Geography, 1987, Virginia Tech
Current Positions
- Assessing landscape and watershed factors influencing the distribution of species and their habitats
- Development of GIS and remote sensing methods for characterizing aquatic and terrestrial habitats
- Derivation of habitat and habitat change metrics from topographic and bathymetric lidar
- Landscape and genetic approaches to understanding population structuring of rare and at risk plants
Memberships
- International Association of Landscape Ecologists, International Biogeography Society
Science and Products
Date published: April 26, 2019
Status: Active Mapping riverine habitats of the Delaware River using bathymetric LiDAR
Ecosystem management and assessment of rivers requires detailed data on bathymetry before estimates of aquatic habitats can be determined. However, mapping bathymetry in shallow rivers is challenging due to river depth limitations for watercraft. Light detection and ranging (LiDAR) technology has revolutionized aerial mapping of topography and vegetation, but the infrared lasers used on these...
Date published: April 26, 2019
Status: Active Assessing stream health and fish habitat in streams of the Chesapeake Bay Watershed
Streams and rivers provide habitat for a diverse array of aquatic and semi-aquatic species. However, human alteration to landscapes and riverscapes has affected this habitat resulting in its degradation and thus loss of habitat and associated sensitive aquatic species. While this relationship has been known for many years, only recently has the availability of data and analytical capabilities...
Contacts: Kelly O Maloney, Ph.D., John A Young
Date published: April 23, 2019
Status: Active Brook trout vulnerability to drought: eastern component of USGS national integrated ecohydrological research and monitoring plans
There is a growing and urgent need to develop and implement innovative strategies to research, monitor, and manage freshwater resources as societal demands escalate simultaneously with climate-driven changes in water availability. Over the past several years, many regions have experienced extreme droughts, fueled by prolonged periods of reduced precipitation and exceptionally warm temperatures...
Date published: October 1, 2017
Status: Active Evaluation and testing of standardized forest vegetation metrics derived from lidar data
The USGS 3D Elevation Program (3DEP) is managing the acquisition of lidar data across the Nation for high resolution mapping of the land surface, useful for multiple applications. Lidar data is initially collected as 3-dimensional “point clouds” that map the interaction of the airborne laser with earth surface features, including vegetation, buildings, and ground features. Generally the...
Attribution: Community for Data Integration (CDI)
Year Published: 2019
Assessing the hydrologic impact of historical railroad embankments on wetland vegetation response in Canaan Valley, WV (USA): The value of high-resolution data
The recovery of natural ecological processes after disturbance is poorly understood. Some disturbances may be so severe as to set ecosystems onto a new trajectory. The Canaan Valley National Wildlife Refuge in West Virginia protects a unique high-altitude wetland that was heavily disturbed by logging 100 years BP and has since transitioned to a...
Young, John A.; Welsch, Daniel; Deacon, SarahAttribution: Leetown Science Center, Ecosystems
Year Published: 2019
Explaining harvests of wild-harvested herbaceous plants: American ginseng as a case study
Wild-harvested plants face increasing demand globally. As in many fisheries, monitoring the effect of harvesting on the size and trajectory of resource stocks presents many challenges given often limited data from disparate sources. Here we analyze American ginseng (Panax quinquefolius L.) harvests from 18 states in the...
Schmidt, John Paul; Cruse-Sanders, Jennifer; Chamberlain, James L.; Ferreira, Susana; Young, John A.Attribution: Leetown Science Center, Ecosystems
Year Published: 2019
A preliminary assessment of hyperspectral remote sensing technology for mapping submerged aquatic vegetation in the Upper Delaware River National Parks
Hyperspectral remote sensing of submerged aquatic vegetation is a complex and difficult process that is affected by unique constraints on the energy flow profile near and below the water surface. In addition, shallow, winding, lotic systems, such as the Upper Delaware River, present additional remote sensing problems in the form of specular...
Slonecker, E. Terrence; Kalaly, Siddiq; Young, John A.; Furedi, Mary Ann; Maloney, Kelly O.; Hamilton, Don; Evans, Richard; Zinecker, Elizabeth
Year Published: 2018
Predicting biological conditions for small headwater streams in the Chesapeake Bay watershed
A primary goal for Chesapeake Bay watershed restoration is to improve stream health and function in 10% of stream miles by 2025. Predictive spatial modeling of stream conditions, when accurate, is one method to fill gaps in monitoring coverage and estimate baseline conditions for restoration goals. Predictive modeling can also monitor progress as...
Maloney, Kelly O.; Smith, Zachary M.; Buchanan, Claire; Nagel, Andrea; Young, John A.Attribution: Leetown Science Center, Ecosystems
Year Published: 2018
Community for Data Integration fiscal year 2017 funded project report
The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 11 projects funded in fiscal year 2017, outlining their goals, activities, and outputs.
Hsu, Leslie; Allstadt, Kate E.; Bell, Tara M.; Boydston, Erin E.; Erickson, Richard A.; Everette, A. Lance; Lentz, Erika E.; Peters, Jeff; Reichert, Brian E.; Nagorsen, Sarah; Sherba, Jason T.; Signell, Richard P.; Wiltermuth, Mark T.; Young, John A.Attribution: Community for Data Integration (CDI), Core Science Systems, Science Analytics and Synthesis (SAS), United States of America
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Hsu, L., Allstadt, K.E., Bell, T.M., Boydston, E.E., Erickson, R.A., Everette, A.L., Lentz, E., Peters, J., Reichert, B.E., Nagorsen, S., Sherba, J.T., Signell, R.P., Wiltermuth, M.T., and Young, J.A., 2018, Community for Data Integration fiscal year 2017 funded project report: U.S. Geological Survey Open-File Report 2018–1154, 15 p., https://doi.org/10.3133/ofr20181154.
Year Published: 2018
Canopy volume removal from oil and gas development activity in the upper Susquehanna River basin in Pennsylvania and New York (USA): An assessment using lidar data
Oil and gas development is changing the landscape in many regions of the United States and globally. However, the nature, extent, and magnitude of landscape change and development, and precisely how this development compares to other ongoing land conversion (e.g. urban/sub-urban development, timber harvest) is not well understood. In this study,...
Young, John A.; Maloney, Kelly O.; Slonecker, E. Terrence; Milheim, Lesley E.; Siripoonsup, DavidAttribution: Biology and Ecosystems, Chesapeake Bay Activities, Leetown Science Center, Ecosystems, Energy & Wildlife, United States of America
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Young, J.A., K. O. Maloney, E.T. Slonecker, L.E. Milheim, and D. Siripoonsup. 2018. Canopy volume removal from oil and gas development activity in the upper Susquehanna River basin in Pennsylvania and New York (USA): An assessment using lidar data. Journal of Environmental Management 222: 66-75. https://doi.org/10.1016/j.jenvman.2018.05.041
Year Published: 2018
Brook trout distributional response to unconventional oil and gas development: Landscape context matters
We conducted a large-scale assessment of unconventional oil and gas (UOG) development effects on brook trout (Salvelinus fontinalis) distribution. We compiled 2231 brook trout collection records from the Upper Susquehanna River Watershed, USA. We used boosted regression tree (BRT) analysis to predict occurrence probability at the 1:24,000 stream-...
Merriam, Eric R.; Petty, J. Todd; Maloney, Kelly O.; Young, John A.; Faulkner, Stephen; Slonecker, E. Terrence; Milheim, Lesley E.; Hailegiorgis, Atesmachew; Niles, Jonathan M.Attribution: Chesapeake Bay Activities, Leetown Science Center, Ecosystems, Energy & Wildlife, United States of America
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Merriam, E. R., J. T. Petty, K. O. Maloney, J. A. Young, S. P. Faulkner, E. T. Slonecker, L. E. Milheim, A. Hailegiorgis, and J. Niles. 2018. Brook trout distributional response to unconventional oil and gas development: Landscape context matters. Science of The Total Environment 628-629:338-349.
Year Published: 2018
A detailed risk assessment of shale gas development on headwater streams in the Pennsylvania portion of the Upper Susquehanna River Basin, U.S.A.
The development of unconventional oil and gas (UOG) involves infrastructure development (well pads, roads and pipelines), well drilling and stimulation (hydraulic fracturing), and production; all of which have the potential to affect stream ecosystems. Here, we developed a fine-scaled (1:24,000) catchment-level disturbance intensity index (DII)...
Maloney, Kelly O.; Young, John A.; Faulkner, Stephen; Hailegiorgis, Atesmachew; Slonecker, E. Terrence; Milheim, LesleyAttribution: Chesapeake Bay Activities, Leetown Science Center, Ecosystems, Energy & Wildlife, United States of America
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Maloney, K. O., J. A. Young, S. P. Faulkner, A. Hailegiorgis, E. T. Slonecker, and L. E. Milheim. 2018. A detailed risk assessment of shale gas development on headwater streams in the Pennsylvania portion of the Upper Susquehanna River Basin, U.S.A. Science of The Total Environment 610:154-166.
Year Published: 2017
Integration of vegetation community spatial data into a prescribed fire planning process at Shenandoah National Park, Virginia (USA)
Many eastern forest communities depend on fire for regeneration or are enhanced by fire as a restoration practice. However, the use of prescribed fire in the mesic forested environments and the densely populated regions of the eastern United States has been limited. The objective of our research was to develop a science-based approach to...
Young, John A.; Mahan, Carolyn G.; Forder, MelissaAttribution: Leetown Science Center, Ecosystems
Year Published: 2016
Predicting the occurrence of cave-inhabiting fauna based on features of the earth surface environment
One of the most challenging fauna to study in situ is the obligate cave fauna because of the difficulty of sampling. Cave-limited species display patchy and restricted distributions, but it is often unclear whether the observed distribution is a sampling artifact or a true restriction in range. Further, the drivers of the distribution could be...
Christman, Mary C.; Doctor, Daniel H.; Niemiller, Matthew L.; Weary, David J.; Young, John A.; Zigler, Kirk S.; Culver, David C.Attribution: Leetown Science Center, Ecosystems
Year Published: 2016
USGS lidar science strategy—Mapping the technology to the science
Summary The U.S. Geological Survey (USGS) utilizes light detection and ranging (lidar) and enabling technologies to support many science research activities. Lidar-derived metrics and products have become a fundamental input to complex hydrologic and hydraulic models, flood inundation models, fault detection and geologic mapping, topographic and...
Stoker, Jason M.; Brock, John C.; Soulard, Christopher E.; Ries, Kernell G.; Sugarbaker, Larry J.; Newton, Wesley E.; Haggerty, Patricia K.; Lee, Kathy E.; Young, John A.Attribution: Core Science Systems, National Geospatial Program, United States of America, 3D Elevation Program
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Stoker, J.M., Brock, J.C., Soulard, C.E., Ries, K.G., Sugarbaker, L.J., Newton, W.E., Haggerty, P.K., Lee, K.E., and Young, J.A., 2016, USGS lidar science strategy—Mapping the technology to the science: U.S. Geological Survey Open-File Report 2015–1209, 33 p., http://dx.doi.org/10.3133/ofr20151209.
Year Published: 2015
Accounting for groundwater in stream fish thermal habitat responses to climate change
Forecasting climate change effects on aquatic fauna and their habitat requires an understanding of how water temperature responds to changing air temperature (i.e., thermal sensitivity). Previous efforts to forecast climate effects on brook trout habitat have generally assumed uniform air-water temperature relationships over large areas that...
Snyder, Craig D.; Hitt, Nathaniel P.; Young, John A.Attribution: Chesapeake Bay Activities, Leetown Science Center, Ecosystems, United States of America
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Snyder, C.D., N.P. Hitt, and J.A. Young. In press. Accounting for groundwater in stream fish thermal habitat responses to climate change. Ecological Application.
Pre-USGS Publications
Mahan, C. G., and J. A. Young. 2016. Fredericksburg and Spotsylvania National Military Park Natural Resource Condition Assessment. Natural Resource Report NPS/NERO/NRR—2016/1252. National Park Service, Fort Collins, Colorado