Publications
Listed here are publications, reports and articles by the Land Change Science Program in the USGS Ecosystems Mission Area.
Filter Total Items: 1181
Sequoia groves of Yosemite: Visitor use and impacts monitoring Sequoia groves of Yosemite: Visitor use and impacts monitoring
Despite being long-lived and massive, giant sequoias (Sequoiadendron giganteum (Lindl.) J. Bucholz) are susceptible to erosion given their relatively shallow root structure. Human-caused soil compaction and vegetation loss through social trails are primary drivers of erosion in giant sequoia groves, particularly for trees that are near formal trails and access roads. We develop a method...
Authors
Sheri A. Shiflett, Jeffery S. Jenkins, Rachel F. Mattos, Peter Christian Ibsen, Nicole D. Athearn
Intersection of wildfire and legacy mining poses risk to water quality Intersection of wildfire and legacy mining poses risk to water quality
Mining and wildfires are both landscape disturbances that pose elevated and substantial hazards to water supplies and ecosystems due to increased erosion and transport of sediment, metals, and debris to downstream waters. The risk to water supplies may be amplified when these disturbances occur in the same watershed. This work describes mechanisms by which the intersection of mining and...
Authors
Sheila F. Murphy, Johanna Blake, Brian A. Ebel, Deborah A. Martin
Intra-urban variations in land surface phenology in a semi-arid environment Intra-urban variations in land surface phenology in a semi-arid environment
Urban vegetation is growing in importance as cities use 'green infrastructure' to mitigate the impacts of climate change, reduce extreme heat, and improve human health and comfort. However, due to the heterogeneity of city landscapes, urban vegetation experiences a diverse range of environmental conditions, potentially leading to differences in growing season timing and length within...
Authors
Ben Crawford, Kathy Kelsey, Peter Christian Ibsen, Amanda Rees, Amanda Charobee
GNSS reflectometry from low-cost sensors for continuous in situ contemporaneous glacier mass balance and flux divergence GNSS reflectometry from low-cost sensors for continuous in situ contemporaneous glacier mass balance and flux divergence
Recent advances in remote sensing have produced global glacier surface elevation change data. Parsing these elevation change signals into contributions from the climate (i.e. climatic mass balance) and glacier dynamics (i.e. flux divergence) is critical to enhance our process-based understanding of glacier change. In this study, we evaluate three approaches for direct, continuous...
Authors
Albin Wells, David R. Rounce, Louis C. Sass, Caitlyn Florentine, Adam Garbo, Emily Baker, Christopher J. McNeil
Formation of vertical columnar seismic structures and seafloor depressions by groundwater discharge in the drowned Miami Terrace platform and overlying deep-water carbonates, southeastern Florida Formation of vertical columnar seismic structures and seafloor depressions by groundwater discharge in the drowned Miami Terrace platform and overlying deep-water carbonates, southeastern Florida
The presence of vertical cross-formational fluid migration passageways within sedimentary basins can profoundly impact aquifer and reservoir fluid-flow and their identification is fundamental to informing management of subsurface fluid resources (groundwater, oil, gas). In an onshore and offshore southeastern part of Florida, 2D/3D seismic-reflection and bathymetry data document ∼153...
Authors
Kevin J. Cunningham, Richard L. Westcott, Sean Norgard, Edward Robinson, Harry J. Dowsett, Marci M. Robinson
Direct measurements of firn-density evolution from 2016 to 2022 at Wolverine Glacier, Alaska Direct measurements of firn-density evolution from 2016 to 2022 at Wolverine Glacier, Alaska
Knowledge of snow and firn-density change is needed to use elevation-change measurements to estimate glacier mass change. Additionally, firn-density evolution on glaciers is closely connected to meltwater percolation, refreezing and runoff, which are key processes for glacier mass balance and hydrology. Since 2016, the U.S. Geological Survey Benchmark Glacier Project has recovered firn...
Authors
Max Stevens, Louis C. Sass, Caitlyn Florentine, Christopher J. McNeil, Emily Baker, Katherine Eleanore Bollen
Contemporary fires are less frequent but more severe in dry conifer forests of the southwestern United States Contemporary fires are less frequent but more severe in dry conifer forests of the southwestern United States
Wildfires in the southwestern United States are increasingly frequent and severe, but whether these trends exceed historical norms remains contested. Here we combine dendroecological records, satellite-derived burn severity, and field measured tree mortality to compare historical (1700-1880) and contemporary (1985-2020) fire regimes at tree-ring fire-scar sites in Arizona and New Mexico...
Authors
E. McClure, J.D. Cooper, C. Guiterman, Ellis Q. Margolis, S. Parks
Dynamic water-quality responses to wildfire in Colorado Dynamic water-quality responses to wildfire in Colorado
In 2020, Colorado experienced the most severe wildfire season in recorded history, with wildfires burning 625 357 acres across the state. Two of the largest fires burned parts of Rocky Mountain National Park (RMNP), and a study was initiated to address concerns about potential effects on drinking water quality from mobilization of ash and sediment. The study took advantage of a wealth of...
Authors
David W. Clow, Garrett Alexander Akie, Sheila F. Murphy, Evan J. Gohring
Effects of recent wildfires on giant sequoia groves were anomalous at millennial timescales: a response to Hanson et al. Effects of recent wildfires on giant sequoia groves were anomalous at millennial timescales: a response to Hanson et al.
Background100 ha) of fire severe enough to kill most sequoias had been absent for at least a millennium, and probably much longer. The ancient sequoia fire regime was instead overwhelmingly dominated by surface fires in which most forest area burned at low or moderate severity interspersed with small forest gaps (hundredths of a hectare to a few hectares) created by local patches of...
Authors
Nathan L. Stephenson, David Nicolas Bertil Soderberg, Joshua A. Flickinger, Anthony C. Caprio, Adrian J. Das
Microplastic and associated black particles from road-tire wear: Implications for radiative effects across the cryosphere and in the atmosphere Microplastic and associated black particles from road-tire wear: Implications for radiative effects across the cryosphere and in the atmosphere
The environmental effects of airborne micro- and nano-size plastic particles are poorly understood. Microscopy and chemical analyses of atmospherically deposited particles on snow surfaces at high elevation (2,865–3,690 m) in the Upper Colorado River basin (UCRB; Colorado Rocky Mountains) revealed the presence of black substances intimately associated with microplastic fibers, particles
Authors
Richard L. Reynolds, Heather A. Lowers, George N. Breit, Harland L. Goldstein, Elizabeth Kellisha Williams, Corey Lawrence, Raymond F. Kokaly, Jeff Derry
Marshes to mangroves: Residential surveys reveal perceived wetland trade-offs for ecosystem services Marshes to mangroves: Residential surveys reveal perceived wetland trade-offs for ecosystem services
Coastal landscapes are rapidly changing due to both climate change and the decisions of waterfront landowners. For instance, the climate-driven encroachment of woody mangrove species into grassy marshland areas is predicted to impact coastal ecosystems, with consequences for the ecosystem services these landscapes provide to people. However, there is a dearth of knowledge concerning...
Authors
Savannah H. Swinea, A. Randall Hughes, Michael Osland, Christine C. Shepard, Kalaina B. Thorne, Jahson B. Alemu I, Remi Bardou, Steven B. Scyphers
The feasibility of using national-scale datasets for classifying wetlands in Arizona with machine learning The feasibility of using national-scale datasets for classifying wetlands in Arizona with machine learning
The advent of machine learning techniques has led to a proliferation of landscape classification products. These approaches can fill gaps in wetland inventories across the United States (U.S.) provided that large reference datasets are available to develop accurate models. In this study, we tested the feasibility of expediting the classification process by sourcing requisite training and...
Authors
Christopher E. Soulard, Jessica J. Walker, Britt Windsor Smith, Jason R. Kreitler