{"pageNumber":"119","pageRowStart":"2950","pageSize":"25","recordCount":41032,"records":[{"id":70248707,"text":"70248707 - 2023 - ENSO and NAO linkages to interannual salinity variability in north central Gulf of Mexico estuaries through teleconnections with precipitation","interactions":[],"lastModifiedDate":"2023-09-18T15:48:27.486866","indexId":"70248707","displayToPublicDate":"2023-09-10T10:48:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"ENSO and NAO linkages to interannual salinity variability in north central Gulf of Mexico estuaries through teleconnections with precipitation","docAbstract":"

Though the importance of Earth's internal climate modes such as the El Niño-Southern Oscillation (ENSO) and the North Atlantic Oscillation (NAO) to regional-scale climate variability is well recognized, the degree to which these oscillations are reflected by spatio-temporal salinity variability over interannual timescales in estuaries is less understood. Here an 11-year continuous salinity monitoring dataset spanning 223 stations across Louisiana's coastal wetlands along the northern Gulf of Mexico is examined with empirical orthogonal function (EOF) analysis to identify dominant modes of interannual variability in the salinity field. The first EOF mode accounts for 72% of the variance in the salinity field and captures a domain-wide pattern where salinities vary in-phase through space in response to local precipitation anomalies occurring in the vicinity of the study area. This local precipitation anomaly is positively correlated with ENSO (Nino3.4 index), consistent with the El Niño – wet (La Niña – dry) precipitation teleconnection that is prevalent throughout the northern Gulf of Mexico coast. The second EOF mode, which accounts for 13% of the variance in the salinity field, is expressed primarily in the marshes across the lower reaches of the Mississippi River deltaic plain (MRDP). EOF2 is anticorrelated with annual Mississippi River discharge anomaly such that salinities in the lower MRDP decrease as discharge increases, pointing to enhanced advection of fresh river plume waters over the shelf into the estuary via estuary-ocean exchange during years of anomalously high river discharge. Mississippi River discharge anomaly is positively correlated with the NAO at a one-year time lag, through a teleconnection with precipitation throughout much of the central region of the Mississippi River drainage basin. Together, these findings indicate that most of the interannual salinity variability across Louisiana's coastal wetlands can be linked to climate variability through teleconnections with precipitation. Incorporating these dynamics into restoration planning, monitoring, and adaptive management efforts may help constrain background environmental variation and better isolate restoration effects.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2023.108487","usgsCitation":"Snedden, G., 2023, ENSO and NAO linkages to interannual salinity variability in north central Gulf of Mexico estuaries through teleconnections with precipitation: Estuarine, Coastal and Shelf Science, v. 293, 108487, 9 p., https://doi.org/10.1016/j.ecss.2023.108487.","productDescription":"108487, 9 p.","ipdsId":"IP-140302","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":420905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Gulf Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.7941680074912,\n 30.932276934300717\n ],\n [\n -93.76673369766087,\n 30.932276934300717\n ],\n [\n -93.76673369766087,\n 28.810632610138626\n ],\n [\n -89.7941680074912,\n 28.810632610138626\n ],\n [\n -89.7941680074912,\n 30.932276934300717\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"293","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Snedden, Gregg 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":216669,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":883269,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70248366,"text":"ofr20231063 - 2023 - Summary of the history and research of the U.S. Geological Survey gas hydrate properties laboratory in Menlo Park, California, active from 1993 to 2022","interactions":[],"lastModifiedDate":"2023-09-11T10:52:43.087532","indexId":"ofr20231063","displayToPublicDate":"2023-09-08T15:16:47","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1063","displayTitle":"Summary of the History and Research of the U.S. Geological Survey Gas Hydrate Properties Laboratory in Menlo Park, California, Active from 1993 to 2022","title":"Summary of the history and research of the U.S. Geological Survey gas hydrate properties laboratory in Menlo Park, California, active from 1993 to 2022","docAbstract":"

The U.S. Geological Survey (USGS) Clathrate Hydrate Properties Project, active from 1993 to 2022 in Menlo Park, California, stemmed from an earlier project on the properties of planetary ices supported by the National Aeronautics and Space Administration’s (NASA’s) Planetary Geology and Geophysics Program. We took a material science approach in both projects, emphasizing chemical purity of samples, having controlled grain size and grain texture, and having verified crystal structures and phase relations. A foundational contribution from our USGS Gas Hydrate Properties Laboratory (GHPL) was in demonstrating the ability to reproducibly create such pure clathrate hydrate samples for study. Clathrate sample synthesis was achieved by heating sieved and weighed pure granular water ice in the presence of cold clathrate-forming gas or liquid. During heating, the ice melts at the grain scale and reacts with the gas to form clathrate. The resulting material has the desired uniformity and purity, with known intergranular porosity; our subsequent measurements showed that these clathrates exhibited the established clathrate structures and phase relations. This novel synthesis method was successful in creating clathrates of pure methane, ethane, propane, carbon dioxide, and multi-component gases. By mixing sand or silt with granular ice, we were also able to make clathrate-sediment aggregates with controlled grain textures. This simple method, adopted by many others in the community, permitted us to measure the physical and chemical properties of well-characterized and well-crystallized clathrates and clathrate/sediment aggregates. At about the same time, we adapted conventional scanning electron microscopy to cryogenic conditions for analysis of grain-scale characteristics of clathrates made in the GHPL as well as those collected from nature by drill core. The uniformity and reproducibility of our samples also allowed us to investigate how clathrates respond to environmental changes in chemistry, temperature, and pressure: we measured chemical exchange rates with dissolved gas species—such as noble gases and chlorofluorocarbons—as well as rates of clathrate dissolution and decomposition. These advances include the first accurate mapping of the conditions that promote the remarkable process of “anomalous preservation” at room pressure, a metastability that offers potential application for low-cost and safe transportation of natural gas from gas fields far from pipelines.

Another advancement stemming from the GHPL was the compaction of as-synthesized porous clathrates to nearly full density by applying external pressure using three different techniques. Compaction allows for high-accuracy measurements of many fundamental physical and chemical properties of these materials, such as elastic wavespeeds and moduli, complete thermal properties, decomposition rates, thermal expansion, and clathrate equations of state. These properties and others, in turn, have helped USGS scientists to interpret geophysical well logs and active geophysical surveys, as well as model the rates of gas production from hydrate deposits in nature.

Studying this class of icy minerals that occur in abundance on Earth and in the outer solar system has been a fascinating laboratory journey. Here, we summarize the history and major findings of the USGS GHPL in Menlo Park, including both in-house research as well as findings from the synergistic collaborations with other agencies and institutes that were key to the success of our laboratory. The Menlo Park GHPL was more formally incorporated within the USGS Gas Hydrates Project, a collaboration among multiple USGS Science Centers, in the early 2000s under the leadership of Deborah Hutchinson, and now under the leadership of Carolyn Ruppel and Timothy Collett.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231063","usgsCitation":"Stern, L.A., and Kirby, S.H., 2023, Summary of the history and research of the U.S. Geological Survey gas hydrate properties laboratory in Menlo Park, California, active from 1993 to 2022: U.S. Geological Survey Open-File Report 2023–1063, 29 p., https://doi.org/10.3133/ofr20231063.","productDescription":"v, 29 p.","numberOfPages":"29","onlineOnly":"Y","ipdsId":"IP-140366","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":420685,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1063/images"},{"id":420683,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1063/ofr20231063.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":420682,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1063/covrthb.jpg"}],"contact":"

Earthquake Science Center
U.S. Geological Survey
350 N. Akron Road
Moffett Field, CA 94035

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-09-08","noUsgsAuthors":false,"publicationDate":"2023-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Stern, Laura A. 0000-0003-3440-5674 lstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":1197,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"lstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":882708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirby, Stephen H. 0000-0003-1636-4688 skirby@usgs.gov","orcid":"https://orcid.org/0000-0003-1636-4688","contributorId":2752,"corporation":false,"usgs":true,"family":"Kirby","given":"Stephen","email":"skirby@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":882709,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70248279,"text":"ofr20231064 - 2023 - California State waters map series—Benthic habitat characterization in the region offshore of Morro Bay, California","interactions":[],"lastModifiedDate":"2026-02-11T21:39:00.871652","indexId":"ofr20231064","displayToPublicDate":"2023-09-06T15:22:48","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1064","displayTitle":"California State Waters Map Series—Benthic Habitat Characterization in the Region Offshore of Morro Bay, California","title":"California State waters map series—Benthic habitat characterization in the region offshore of Morro Bay, California","docAbstract":"

Coastal and Marine Ecological Classification Standard geoform, substrate, and biotic component geographic information system products were developed for the California State waters of south-central California in the region offshore of Morro Bay. The study was motivated by interest in development of offshore wind-energy capacity and infrastructure in Federal waters offshore. The Bureau of Ocean Energy Management, in coordination with the State of California and many other members of the California Intergovernmental Renewable Energy Task Force, issued calls for information in 2018 for the study area offshore of Morro Bay, California. The study area is adjacent to a nuclear power plant (currently scheduled for decommissioning) with a developed electric grid connection, and in an area of high wind resource potential. The Bureau of Ocean Energy Management is the lead agency responsible for planning and leasing in the U.S. Exclusive Economic Zone and funded this project to assess baseline conditions of, and the potential effects on, the seafloor environment. This project, carried out by the U.S. Geological Survey, resulted in three data releases for individual map blocks that are part of the California State Waters Map Series: (1) Offshore of Point Estero, (2) Offshore of Morro Bay, and (3) Offshore of Point Buchon. The study area consists of 341 square kilometers (km2) of multibeam echo sounder (MBES) data acquired by Fugro, Inc., in 2010. Towed camera-sled video was acquired in 2012 to supervise the classification of the MBES data into habitats. There were 935 annotations of organisms and habitat made from 22 video transects. Using video observations of habitat as ground truth, derivatives of the MBES data were classified into 3 seafloor character types (hard-rugged, hard-flat, and soft-flat), 25 modifier groups, and 9 geoforms. The study area substrate is predominantly soft-flat sediment (mud and fine sand) covering 191.3 km2 (56.1 percent) of the area. Hard-flat substrate areas, predominantly coarse sediment in scour depressions, cover 52.2 km2 (15.3 percent) of the study area. The hard-rugged substrate areas are primarily outcrops of layered sedimentary bedrock and constitute 97.5 km2 of the study area (28.6 percent). After classification of bathymetry and backscatter raster images according to substrate, false-positive hard areas produced by noise artifacts were removed by manual editing. Nine geoforms were then identified in the analysis. The predominant geoforms mirror the seafloor character results, shelf geoforms (flat areas covered in soft sediment), rock outcrop geoforms (hard, rugged areas), and scour depression geoforms (flat areas covered in coarse sediment formed by bottom currents).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231064","collaboration":"Prepared in cooperation with California State University Monterey Bay, University of California Santa Cruz, the Bureau of Ocean Energy Management, and the California Ocean Protection Council","usgsCitation":"Cochrane, G.R., Kvitek, R., Cole, A., Sherrier, M., Roca-Lezra, A., Hallahan, S., and Dartnell, P., 2023, California State waters map series—Benthic habitat characterization in the region offshore of Morro Bay, California: U.S. Geological Survey Open-File Report 2023–1064, 14 p., https://doi.org/10.3133/ofr20231064.","productDescription":"Report: vii, 14 p.; 3 Data Releases","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-142408","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":420580,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZSTUK1","text":"USGS Data Release","description":"Cochrane, G.R., Cole, A., Sherrier, M., and Hallahan, S., 2022, Bathymetry, backscatter intensity, and benthic habitat offshore of Point Estero, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZSTUK1.","linkHelpText":"Bathymetry, backscatter intensity, and benthic habitat offshore of Point Estero, California"},{"id":420579,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HEZNRO","text":"USGS Data Release","description":"Cochrane, G.R., Cole, A., Sherrier, M., and Roca-Lezra, A., 2022, Bathymetry, backscatter intensity, and benthic habitat offshore of Morro Bay, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9HEZNRO.","linkHelpText":"Bathymetry, backscatter intensity, and benthic habitat offshore of Morro Bay, California"},{"id":499787,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115244.htm","linkFileType":{"id":5,"text":"html"}},{"id":420582,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231064/full"},{"id":420581,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KBGELE","text":"USGS Data Release","description":"Cochrane, G.R., Cole, A., and Sherrier, M., 2022, Bathymetry, backscatter intensity, and benthic habitat offshore of Point Buchon, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9KBGELE.","linkHelpText":"Bathymetry, backscatter intensity, and benthic habitat offshore of Point Buchon, California"},{"id":420575,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1064/covrthb.jpg"},{"id":420576,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1064/ofr20231064.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":420577,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1064/ofr20231064.xml"},{"id":420578,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1064/images"}],"country":"United States","state":"California","otherGeospatial":"Morro Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.14748785119099,\n 35.56953868165078\n ],\n [\n -121.14748785119099,\n 35.15085512961322\n ],\n [\n -120.69449617338131,\n 35.15085512961322\n ],\n [\n -120.69449617338131,\n 35.56953868165078\n ],\n [\n -121.14748785119099,\n 35.56953868165078\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission St.
Santa Cruz, CA 95060

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-09-06","noUsgsAuthors":false,"publicationDate":"2023-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":882231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kvitek, Rikk","contributorId":203977,"corporation":false,"usgs":false,"family":"Kvitek","given":"Rikk","affiliations":[{"id":36778,"text":"California State University at Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":882232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Aaron","contributorId":214198,"corporation":false,"usgs":false,"family":"Cole","given":"Aaron","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":882233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherrier, Meghan 0000-0002-7857-7737","orcid":"https://orcid.org/0000-0002-7857-7737","contributorId":292303,"corporation":false,"usgs":false,"family":"Sherrier","given":"Meghan","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":882234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roca-Lezra, Alia 0000-0001-6450-3684","orcid":"https://orcid.org/0000-0001-6450-3684","contributorId":329415,"corporation":false,"usgs":false,"family":"Roca-Lezra","given":"Alia","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":882235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hallahan, Sean","contributorId":292304,"corporation":false,"usgs":false,"family":"Hallahan","given":"Sean","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":882236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":882237,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250820,"text":"70250820 - 2023 - 3-D wave propagation simulations of Mw 6.5+ earthquakes on the Tacoma Fault, Washington state, considering the effects of topography, a geotechnical gradient, and a fault damage zone","interactions":[],"lastModifiedDate":"2024-01-08T15:59:46.001103","indexId":"70250820","displayToPublicDate":"2023-09-06T09:53:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"3-D wave propagation simulations of Mw 6.5+ earthquakes on the Tacoma Fault, Washington state, considering the effects of topography, a geotechnical gradient, and a fault damage zone","docAbstract":"

We simulate shaking in Tacoma, Washington, and surrounding areas from Mw 6.5 and 7.0 earthquakes on the Tacoma fault. Ground motions are directly modeled up to 2.5 Hz using kinematic, finite‐fault sources; a 3D seismic velocity model considering regional geology; and a model mesh with 30 m sampling at the ground surface. In addition, we explore how adjustments to the seismic velocity model affect predicted shaking over a range of periods. These adjustments include the addition of a region‐specific geotechnical gradient, surface topography, and a fault damage zone. We find that the simulated shaking tends to be near estimates from empirical ground‐motion models (GMMs). However, long‐period (T = 5.0 s) shaking within the Tacoma basin is typically underpredicted by the GMMs. The fit between simulated and GMM‐derived short‐period (T = 0.5 s) shaking is significantly improved with the addition of the geotechnical gradient. From comparing different Mw 6.5 earthquake scenarios, we also find that the response of the Tacoma basin is sensitive to the azimuth of incoming seismic waves. In adding surface topography to the simulation, we find that average ground motion is similar to that produced from the nontopography model. However, shaking is often amplified at topographic highs and deamplified at topographic lows, and the wavefield undergoes extensive scattering. Adding a fault damage zone has the effect of amplifying short‐period shaking adjacent to the fault, while reducing far‐field shaking. Intermediate‐period shaking is amplified within the Tacoma basin, likely due to enhanced surface‐wave generation attributable to the fault damage zone waveguide. When applied in the same model, the topography and fault damage zone adjustments often enhance or reduce the effects of one another, adding further complexity to the wavefield. These results emphasize the importance of improving near‐surface velocity model resolution as waveform simulations progress toward higher frequencies.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230083","usgsCitation":"Stone, I.P., Wirth, E.A., Grant, A.R., and Frankel, A.D., 2023, 3-D wave propagation simulations of Mw 6.5+ earthquakes on the Tacoma Fault, Washington state, considering the effects of topography, a geotechnical gradient, and a fault damage zone: Bulletin of the Seismological Society of America, v. 113, no. 6, p. 2519-2542, https://doi.org/10.1785/0120230083.","productDescription":"24 p.","startPage":"2519","endPage":"2542","ipdsId":"IP-151026","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":424180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Tacoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.94849646816715,\n 47.52066759288792\n ],\n [\n -122.94849646816715,\n 47.09223788435119\n ],\n [\n -121.84278435348952,\n 47.09223788435119\n ],\n [\n -121.84278435348952,\n 47.52066759288792\n ],\n [\n -122.94849646816715,\n 47.52066759288792\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"113","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Stone, Ian P. 0000-0003-2622-2691","orcid":"https://orcid.org/0000-0003-2622-2691","contributorId":293630,"corporation":false,"usgs":true,"family":"Stone","given":"Ian","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":891672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":891673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":891674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":891675,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70248856,"text":"70248856 - 2023 - Upscaling wetland methane emissions from the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model development, network assessment, and budget comparison","interactions":[],"lastModifiedDate":"2023-09-25T14:13:49.241689","indexId":"70248856","displayToPublicDate":"2023-09-06T08:13:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7751,"text":"AGU Advances","active":true,"publicationSubtype":{"id":10}},"title":"Upscaling wetland methane emissions from the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model development, network assessment, and budget comparison","docAbstract":"

Wetlands are responsible for 20%–31% of global methane (CH4) emissions and account for a large source of uncertainty in the global CH4 budget. Data-driven upscaling of CH4 fluxes from eddy covariance measurements can provide new and independent bottom-up estimates of wetland CH4 emissions. Here, we develop a six-predictor random forest upscaling model (UpCH4), trained on 119 site-years of eddy covariance CH4 flux data from 43 freshwater wetland sites in the FLUXNET-CH4 Community Product. Network patterns in site-level annual means and mean seasonal cycles of CH4 fluxes were reproduced accurately in tundra, boreal, and temperate regions (Nash-Sutcliffe Efficiency ∼0.52–0.63 and 0.53). UpCH4 estimated annual global wetland CH4 emissions of 146 ± 43 TgCH4 y−1 for 2001–2018 which agrees closely with current bottom-up land surface models (102–181 TgCH4 y−1) and overlaps with top-down atmospheric inversion models (155–200 TgCH4 y−1). However, UpCH4 diverged from both types of models in the spatial pattern and seasonal dynamics of tropical wetland emissions. We conclude that upscaling of eddy covariance CH4 fluxes has the potential to produce realistic extra-tropical wetland CH4 emissions estimates which will improve with more flux data. To reduce uncertainty in upscaled estimates, researchers could prioritize new wetland flux sites along humid-to-arid tropical climate gradients, from major rainforest basins (Congo, Amazon, and SE Asia), into monsoon (Bangladesh and India) and savannah regions (African Sahel) and be paired with improved knowledge of wetland extent seasonal dynamics in these regions. The monthly wetland methane products gridded at 0.25° from UpCH4 are available via ORNL DAAC (https://doi.org/10.3334/ORNLDAAC/2253).

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023AV000956","usgsCitation":"McNicol, G., Fluet-Chouinard, E., Ouyang, Z., Knox, S., Zhen, Z., Aalto, T., Bansal, S., Chang, K., Chen, M., Delwiche, K., Feron, S., Goeckede, M., Liu, J., Malhotra, A., Melton, J.R., Riley, W., Vargas, R., Yuan, K., Yang, Q., Zhu, Q., Alekseychik, P., Aurela, M., Billesbach, D., Campbell, D.I., Chen, J., Chu, H., Desai, A., Euskirchen, E., Goodrich, J., Griffis, T., Helbig, M., Hirano, T., Iwata, H., Jurasinski, G., King, J., Koebsch, F., Kolka, R., Krauss, K., Lohila, A., Ivan Mammarella, Nilson, M., Noormets, A., Oechel, W., Peichl, M., Sachs, T., Sakabe, A., Schulze, C., Sonnentag, O., Sullivan, R., Tuittila, E., Ueyama, M., Vesala, T., Ward, E., Wille, C., Wong, G.X., Zona, D., Windham-Myers, L., Poulter, B., and Jackson, R., 2023, Upscaling wetland methane emissions from the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model development, network assessment, and budget comparison: AGU Advances, v. 4, no. 5, e2023AV000956, 24 p., https://doi.org/10.1029/2023AV000956.","productDescription":"e2023AV000956, 24 p.","ipdsId":"IP-139161","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":442175,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023av000956","text":"Publisher Index Page"},{"id":421127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"McNicol, Gavin 0000-0002-6655-8045","orcid":"https://orcid.org/0000-0002-6655-8045","contributorId":260536,"corporation":false,"usgs":false,"family":"McNicol","given":"Gavin","email":"","affiliations":[],"preferred":false,"id":883903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fluet-Chouinard, 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Japan","active":true,"usgs":false}],"preferred":false,"id":883953,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Vesala, Timo","contributorId":330084,"corporation":false,"usgs":false,"family":"Vesala","given":"Timo","affiliations":[{"id":29902,"text":"University of Helsinki, Helsinki, Finland","active":true,"usgs":false}],"preferred":false,"id":883954,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Ward, Eric 0000-0002-5047-5464","orcid":"https://orcid.org/0000-0002-5047-5464","contributorId":218962,"corporation":false,"usgs":true,"family":"Ward","given":"Eric","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":883955,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Wille, Christian","contributorId":330085,"corporation":false,"usgs":false,"family":"Wille","given":"Christian","affiliations":[{"id":78798,"text":"GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":883956,"contributorType":{"id":1,"text":"Authors"},"rank":54},{"text":"Wong, Guan Xhuan","contributorId":330086,"corporation":false,"usgs":false,"family":"Wong","given":"Guan","email":"","middleInitial":"Xhuan","affiliations":[{"id":78804,"text":"Sarawak Tropical Peat Research Institute, Sarawak, Malaysia","active":true,"usgs":false}],"preferred":false,"id":883957,"contributorType":{"id":1,"text":"Authors"},"rank":55},{"text":"Zona, Donatella","contributorId":330087,"corporation":false,"usgs":false,"family":"Zona","given":"Donatella","affiliations":[{"id":78805,"text":"University of Sheffield, Western Bank, Sheffield, S10 2TN, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":883958,"contributorType":{"id":1,"text":"Authors"},"rank":56},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883959,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"Poulter, Benjamin","contributorId":330088,"corporation":false,"usgs":false,"family":"Poulter","given":"Benjamin","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":883960,"contributorType":{"id":1,"text":"Authors"},"rank":58},{"text":"Jackson, Robert B.","contributorId":330089,"corporation":false,"usgs":false,"family":"Jackson","given":"Robert B.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":883961,"contributorType":{"id":1,"text":"Authors"},"rank":59}]}} ,{"id":70256523,"text":"70256523 - 2023 - An agent-based model to quantify energetics, movement and habitat selection of mid-continent mallards in the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2024-08-07T12:17:58.180684","indexId":"70256523","displayToPublicDate":"2023-09-06T07:15:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"An agent-based model to quantify energetics, movement and habitat selection of mid-continent mallards in the Mississippi Alluvial Valley","docAbstract":"

The dynamics of wintering waterfowl populations at the landscape scale are the result of complex interactions of environmental, behavioral and energetic drivers. Agent-based models provide a method to directly link these factors in a spatially explicit framework and allow the emergence of patterns from the aggregation of individual agent actions. We adapted the Spatially-explicit Waterbird Agent-based Model Program (SWAMP), originally developed for waterfowl in central California, to simulate a basin-scale population of mallards (A. platyrhynchos) wintering in the Mississippi Alluvial Valley over a four-month period (November–February). Simulated agents move within the landscape, foraging on areas made available based on a probabilistic inundation status, and converting food resources to endogenous energy. The model uses a high-resolution map of eastern Arkansas waterfowl habitats and incorporates a hierarchical habitat selection system that enables mallards to relocate at increasing scales in response to changing food availability. We validated the performance of modeled mallard body condition and behavioral metrics under a range of environmental conditions against expected outcomes derived from empirical data and found that the simulation produced realistic representations of changes in flight distances, energy expenditure, lipid storage, and foraging habitat use in response to depleting food resources over time. We discuss the model's applicability as a tool to quantify waterfowl response to a range of environmental conditions and to evaluate scenarios of landscape composition and configuration in the context of waterfowl population management.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2023.110488","usgsCitation":"Weller, F.G., Webb, E.B., Fogenburg, S., Beatty, W., Kesler, D., Blenk, R.H., Ringelman, K.M., Miller, M.L., and Eadie, J., 2023, An agent-based model to quantify energetics, movement and habitat selection of mid-continent mallards in the Mississippi Alluvial Valley: Ecological Modelling, v. 485, 110488, https://doi.org/10.1016/j.ecolmodel.2023.110488.","productDescription":"110488","ipdsId":"IP-151506","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":442176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://repository.lsu.edu/agrnr_pubs/679","text":"Publisher Index Page"},{"id":432333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"485","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weller, Florian G.","contributorId":341013,"corporation":false,"usgs":false,"family":"Weller","given":"Florian","email":"","middleInitial":"G.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":907803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fogenburg, Sean","contributorId":341014,"corporation":false,"usgs":false,"family":"Fogenburg","given":"Sean","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":907805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":224795,"corporation":false,"usgs":true,"family":"Beatty","given":"William S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":907806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kesler, Dylan","contributorId":341015,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","affiliations":[{"id":37290,"text":"The Institute for Bird Populations","active":true,"usgs":false}],"preferred":false,"id":907807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blenk, Robert H.","contributorId":341016,"corporation":false,"usgs":false,"family":"Blenk","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":907808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ringelman, Kevin M.","contributorId":341017,"corporation":false,"usgs":false,"family":"Ringelman","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":907809,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Matt L.","contributorId":341018,"corporation":false,"usgs":false,"family":"Miller","given":"Matt","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":907810,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eadie, John M.","contributorId":341020,"corporation":false,"usgs":false,"family":"Eadie","given":"John M.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":907811,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70250860,"text":"70250860 - 2023 - Seasonal differences and grazing pressure alter the fate of gold nanoparticles in a microcosm experiment","interactions":[],"lastModifiedDate":"2024-01-10T16:36:51.665148","indexId":"70250860","displayToPublicDate":"2023-09-05T10:31:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal differences and grazing pressure alter the fate of gold nanoparticles in a microcosm experiment","docAbstract":"

Gold nanoparticles (AuNPs) are used as models to track and predict NP fates and effects in ecosystems. Previous work found that aquatic macrophytes and their associated biofilm primarily drove the fate of AuNPs within aquatic ecosystems and that seasonality was an important abiotic factor in the fate of AuNPs. Therefore, the present work aims to study if grazers, by feeding on these interfaces, modify the AuNP fate and if this is altered by seasonal fluctuations. Microcosms were dosed with 44.8 μg/L of AuNP weekly for 4 weeks and maintained in environmental chambers simulating Spring and Fall light and temperature conditions. We discovered that seasonal changes and the presence of grazers significantly altered the fate of Au. Higher temperatures in the warmer season increased dissolved organic carbon (DOC) content in the water column, leading to stabilization of Au in the water column. Additionally, snail grazing on biofilm growing on the Egeria densa surface led to a transfer of Au from macrophytes to the organic matter above the sediments. These results demonstrate that climate and grazers significantly impacted the fate of Au from AuNPs, highlighting the role that grazers might have in a large and biologically more complex ecosystem.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c01839","usgsCitation":"Bergemann, C.M., Avellan, A., Perrotta, B.G., Bernhardt, E.S., and Simonin, M., 2023, Seasonal differences and grazing pressure alter the fate of gold nanoparticles in a microcosm experiment: Environmental Science & Technology, v. 57, no. 37, p. 13970-13979, https://doi.org/10.1021/acs.est.3c01839.","productDescription":"10 p.","startPage":"13970","endPage":"13979","ipdsId":"IP-155275","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":442179,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04208811","text":"External Repository"},{"id":424283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"37","noUsgsAuthors":false,"publicationDate":"2023-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Bergemann, Christina M.","contributorId":333057,"corporation":false,"usgs":false,"family":"Bergemann","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":891815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avellan, Astrid","contributorId":333058,"corporation":false,"usgs":false,"family":"Avellan","given":"Astrid","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":891816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perrotta, Brittany G. 0000-0003-2669-3047","orcid":"https://orcid.org/0000-0003-2669-3047","contributorId":301929,"corporation":false,"usgs":true,"family":"Perrotta","given":"Brittany","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":891817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernhardt, Emily S.","contributorId":173736,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily","email":"","middleInitial":"S.","affiliations":[{"id":27285,"text":"Duke Univerisity","active":true,"usgs":false}],"preferred":false,"id":891818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simonin, Marie 0000-0003-1493-881X","orcid":"https://orcid.org/0000-0003-1493-881X","contributorId":304843,"corporation":false,"usgs":false,"family":"Simonin","given":"Marie","email":"","affiliations":[{"id":66161,"text":"Université d’Angers","active":true,"usgs":false}],"preferred":false,"id":891819,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70248027,"text":"sir20235085 - 2023 - Updates to CE-QUAL-W2 models for select U.S. Army Corps of Engineers reservoirs in the Willamette Valley Project and an inter-reservoir reach of the Middle Fork Willamette River, northwestern Oregon","interactions":[],"lastModifiedDate":"2025-08-14T19:42:16.158318","indexId":"sir20235085","displayToPublicDate":"2023-09-05T09:38:18","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5085","displayTitle":"Updates to CE-QUAL-W2 Models for Select U.S. Army Corps of Engineers Reservoirs in the Willamette Valley Project and an Inter-Reservoir Reach of the Middle Fork Willamette River, Northwestern Oregon","title":"Updates to CE-QUAL-W2 models for select U.S. Army Corps of Engineers reservoirs in the Willamette Valley Project and an inter-reservoir reach of the Middle Fork Willamette River, northwestern Oregon","docAbstract":"

Mechanistic models capable of simulating hydrodynamics and water temperature in rivers and reservoirs are valuable tools for investigating thermal conditions and their relation to dam operations and streamflow in river basins where upstream water storage and management decisions have an important influence on river reaches with threatened fish populations. In particular, models allow managers to investigate how new, untried operations or hypothetical structures might influence streamflow and temperature conditions downstream. CE-QUAL-W2 is a two-dimensional (laterally averaged) hydrodynamic water-quality model that has previously been used to investigate the downstream effects of dam operations and other anthropogenic influences on stream temperature in the Willamette River Basin in northwestern Oregon, a region with two populations of fish species designated as threatened under the Endangered Species Act. By linking CE-QUAL-W2 river models to models of upstream, large Willamette Valley Project dams and reservoirs, these models can be used to investigate how dam operations at individual dams can influence streamflow and thermal conditions in downstream river reaches as an integrated system. Integrated model simulations that include the large dams and reservoirs linked to downstream river reaches can help managers develop a better understanding of tradeoffs associated with potential retrofits or operational changes across the multipurpose dams in the Willamette Valley Project, the effect of dam management on downstream tributaries and the Willamette River, and the resulting potential effect on threatened fish populations and habitat conditions.

River models capable of simulating river corridors downstream from U.S. Army Corps of Engineers dams were previously updated and integrated to simulate conditions that occurred from March through October of 2011 (a cool and wet year), 2015 (a hot and dry year), and 2016 (a moderately hot and dry year) using CE-QUAL-W2 version 4.2. These river models encompass the following:

This report documents model modifications, boundary condition data sources or estimation methods, and goodness-of-fit statistics for six CE-QUAL-W2 reservoir models and one river model upstream from the existing river models. These models simulate (1) Hills Creek Lake; (2) Lookout Point Lake and Dexter Reservoir on the Middle Fork Willamette River; (3) the Middle Fork Willamette River reach between Hills Creek Dam upstream and Lookout Point Lake downstream; (4) Cougar Reservoir on the South Fork McKenzie River; (5) Green Peter Lake on the Middle Santiam River and Foster Lake on the South Santiam River; and (6) Detroit Lake and (7) Big Cliff Reservoir on the North Santiam River. These CE-QUAL-W2 models were built by a variety of researchers to simulate a range of conditions in past years; this report documents their upgrade to U.S. Geological Survey (USGS) edition 7 of version 4.2 of CE-QUAL-W2 and updates each model to simulate conditions from January through December of 2011, 2015, and 2016. Also included in this report is an explanation of modifications to the CE-QUAL-W2 source code that constitute USGS edition 7 of CE-QUAL-W2 version 4.2. Each of the models described in this report can be run in isolation or linked to downstream models as a “system model” to simulate conditions in tributaries and (or) in the Willamette Valley Project as a whole.

As part of the model updates described in this report, some model parameters were adjusted to improve stability or decrease model error, and boundary conditions including meteorological, hydrologic, and temperature inputs were developed and updated for model years 2011, 2015, and 2016, as necessary. In some cases, the data sources used to drive previous model versions were no longer available, which required the development and checking of new data sources or estimation techniques. Goodness-of-fit statistics for outflow from the dams and in simulated river reaches generally show a good model fit, with the models simulating subdaily water temperatures at most comparable locations with a mean absolute error of generally less than 1 degree Celsius (°C) and a reasonably low bias. Model simulation of the thermal vertical profiles in each reservoir also produced an overall mean absolute error of generally less than 1 °C for all 3 years, with the exception of the Hills Creek Lake Model and the Cougar Reservoir Model in years when the reservoirs did not fill (2015 and 2016). Both of these models have known calibration issues and tend to be sensitive to the choice of certain structural parameters in the model. Overall, the calibration process was focused on obtaining model settings that led to realistic water temperature predictions in all 3 years (2011, 2015, and 2016) without over-calibrating specifically to any single year. A complete investigation of model error for these reservoir submodels was beyond the scope of this investigation but could be undertaken in the future if better model performance for these two reservoirs is desired.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235085","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Portland District","usgsCitation":"Stratton Garvin, L.E., Buccola, N.L., and Rounds, S.A., 2023, Updates to CE-QUAL-W2 models for select U.S. Army Corps of Engineers reservoirs in the Willamette Valley Project and an inter-reservoir reach of the Middle Fork Willamette River, northwestern Oregon (ver. 1.1, June 2025): U.S. Geological Survey Scientific Investigations Report 2023–5085, 89 p., https://doi.org/10.3133/sir20235085.","productDescription":"Report: xii, 89 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-141377","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":494149,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115245.htm","linkFileType":{"id":5,"text":"html"}},{"id":420372,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5085/sir20235085.XML"},{"id":420371,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5085/images"},{"id":420373,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UJFXA5","text":"USGS data release","description":"USGS data release","linkHelpText":"CE-QUAL-W2 models for select U.S. Army Corps of Engineers reservoirs in the Willamette Valley Project and an inter-reservoir reach of the Middle Fork Willamette River, northwestern Oregon, 2011, 2015, and 2016 (ver. 1.1, May 2025)"},{"id":491287,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2023/5085/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"}},{"id":420368,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5085/coverthb2.jpg"},{"id":420369,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5085/sir20235085.pdf","text":"Report","size":"24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5085"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.45633507532085,\n 45.58946612874976\n ],\n [\n -122.9361641346579,\n 46.04098363545978\n ],\n [\n -123.5145410212395,\n 45.5627587310459\n ],\n [\n -123.63148629596873,\n 44.60670825289975\n ],\n [\n -123.5623951104441,\n 43.59496378124939\n ],\n [\n -123.05635970383773,\n 43.13379451064938\n ],\n [\n -121.74055049946932,\n 42.79157283626091\n ],\n [\n -121.20756798908744,\n 43.3534143414802\n ],\n [\n -121.15566880710551,\n 44.42799279254055\n ],\n [\n -121.3336847614029,\n 45.19900479802473\n ],\n [\n -121.88806972979938,\n 45.53916954884161\n ],\n [\n -122.45633507532085,\n 45.58946612874976\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: September 5, 2023; Version 1.1: June 27, 2025","contact":"

Director, Oregon Water Science Center
U.S. Geological Survey
601 SW Second Avenue, Suite 1950
Portland, Oregon 97204

","tableOfContents":"","publishedDate":"2023-09-05","revisedDate":"2025-06-27","noUsgsAuthors":false,"publicationDate":"2023-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Stratton Garvin, Laurel E. 0000-0001-8567-8619 lstratton@usgs.gov","orcid":"https://orcid.org/0000-0001-8567-8619","contributorId":270182,"corporation":false,"usgs":true,"family":"Stratton Garvin","given":"Laurel","email":"lstratton@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buccola, Norman L. 0000-0002-9590-2458 nbuccola@usgs.gov","orcid":"https://orcid.org/0000-0002-9590-2458","contributorId":139096,"corporation":false,"usgs":true,"family":"Buccola","given":"Norman","email":"nbuccola@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881557,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248306,"text":"70248306 - 2023 - Informing management of recovering predators and their prey with ecological diffusion models","interactions":[],"lastModifiedDate":"2023-12-04T17:13:19.395597","indexId":"70248306","displayToPublicDate":"2023-09-05T08:25:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Informing management of recovering predators and their prey with ecological diffusion models","docAbstract":"

The reintroduction and recovery of predators can be ecologically beneficial as well as socially and economically controversial. However, the growth and expansion of predator populations, and thus their ecological, social, and economic impacts, are not static but rather they vary in space and time. We propose a spatiotemporal statistical modeling framework based on ecological diffusion to better inform the ecology and management of recovering predators and their prey. We demonstrate its utility by applying it to a recovering sea otter (Enhydra lutris) population in Southeast Alaska, where sea otters were reintroduced in the late 1960s and have exhibited unprecedented population growth. Estimated parameters yield inferences about movement and population ecology, and our approach provides useful derived quantities, such as local abundance and carrying capacity as well as a quantity we term the equilibrium differential. We used our model to examine how density dependence and carrying capacity of sea otters vary spatially across a region. The diffusion modeling approach we present can be generalized for use in other instances of (re)colonization across taxa to inform management and conservation efforts.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2673","usgsCitation":"Eisaguirre, J.M., Williams, P.J., Lu, X., Kissling, M.L., Schutte, P.A., Weitzman, B.P., Beatty, W., Esslinger, G.G., Womble, J., and Hooten, M.B., 2023, Informing management of recovering predators and their prey with ecological diffusion models: Frontiers in Ecology and the Environment, v. 21, no. 10, p. 479-488, https://doi.org/10.1002/fee.2673.","productDescription":"10 p.","startPage":"479","endPage":"488","ipdsId":"IP-139715","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":420618,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 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]\n}","volume":"21","issue":"10","noUsgsAuthors":false,"publicationDate":"2023-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":882378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":882379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Xinyi","contributorId":279368,"corporation":false,"usgs":false,"family":"Lu","given":"Xinyi","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":882380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kissling, Michelle L.","contributorId":172675,"corporation":false,"usgs":false,"family":"Kissling","given":"Michelle","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":882381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schutte, Paul A","contributorId":329478,"corporation":false,"usgs":false,"family":"Schutte","given":"Paul","email":"","middleInitial":"A","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":882382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weitzman, Benjamin P 0000-0001-7559-3654","orcid":"https://orcid.org/0000-0001-7559-3654","contributorId":291739,"corporation":false,"usgs":false,"family":"Weitzman","given":"Benjamin","email":"","middleInitial":"P","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":882383,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":224795,"corporation":false,"usgs":true,"family":"Beatty","given":"William S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":882384,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Esslinger, George G. 0000-0002-3459-0083 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Austin","active":true,"usgs":false}],"preferred":false,"id":882387,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70248127,"text":"70248127 - 2023 - Baiting and banding: Expert opinion on how bait trapping may influence the occurrence of highly pathogenic avian influenza (HPAI) among dabbling ducks","interactions":[],"lastModifiedDate":"2023-11-07T15:47:33.270361","indexId":"70248127","displayToPublicDate":"2023-09-05T08:18:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Baiting and banding: Expert opinion on how bait trapping may influence the occurrence of highly pathogenic avian influenza (HPAI) among dabbling ducks","docAbstract":"

A Eurasian lineage highly pathogenic avian influenza virus (HPAIV) of the clade 2.3.4.4b (Goose/Guangdong lineage) was detected in migratory bird populations in North America in December 2021, and it, along with its reassortants, have since caused wild and domestic bird outbreaks across the continent. Relative to previous outbreaks, HPAIV cases among wild birds in 2022 exhibited wider geographic extent within North America and higher levels of mortality, suggesting the potential for population-level impacts. Given the possible conservation implications of HPAIV in wild birds, natural resource managers have sought guidance on actions that may mitigate negative effects of disease among North American bird populations, including modification of existing management practices. Banding of waterfowl is a critical tool for population management for several harvested species in North America, but some banding techniques, such as bait trapping, can lead to increased congregation of waterfowl, potentially altering HPAIV transmission. We used an expert opinion exercise to assess how bait trapping of dabbling ducks in Canada may influence HPAIV transmission and wild bird health. The expert group found that it is moderately likely that bait trapping of dabbling ducks in wetlands will significantly increase the transmission of HPAIV among individual ducks, but there is a low probability that this will result in significant population-level effects on North American dabbling ducks. Considering the lack of empirical work studying how capture and handling methods may change transmission of HPAIV among waterfowl, as well as the importance of bait trapping for waterfowl management in North America, future work should focus on filling knowledge gaps pertaining to the influence of baiting on HPAIV occurrence to better inform banding procedures and management decision making.

","language":"English","publisher":"Allen Press","doi":"10.7589/JWD-D-22-00163","usgsCitation":"Provencher, J.F., Wilcox, A.A., Gibbs, S.E., Howes, L., Mallory, M.L., Pybus, M.J., Ramey, A.M., Reed, E.T., Sharp, C., Soos, C., Stasiak, I., and Leafloor, J.O., 2023, Baiting and banding: Expert opinion on how bait trapping may influence the occurrence of highly pathogenic avian influenza (HPAI) among dabbling ducks: Journal of Wildlife Diseases, v. 59, no. 4, p. 590-600, https://doi.org/10.7589/JWD-D-22-00163.","productDescription":"11 p.","startPage":"590","endPage":"600","ipdsId":"IP-146063","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":442190,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/jwd-d-22-00163","text":"Publisher Index 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Agricultural headwater streams and ditches commonly host dense stands of aquatic vegetation that grow and decay over seasons and exert physical and biological controls on the transport of nutrients from cropland to larger rivers. This study examined changes in the transport of phosphorus (P) in an agricultural drainage ditch in the Maumee River Basin (Ohio, USA) by conducting constant rate injections of a novel tracer mixture (conservative salt [Cl as NaCl], dissolved P [KH2PO4], and a fluorescent fine particle) in spring, summer, and fall. We quantified transport behavior for solutes and particles using a traditional transient storage modeling framework consisting of mobile and immobile storage zones connected by a first-order exchange rate constant. Transient storage was greatest during the spring, when thicker vegetation caused more pooling and flow stagnation, and decreased through fall, as vegetation thinned. Soluble P uptake lengths were 8.7 times longer in fall than spring, likely due to declines in biological uptake rates with colder temperatures and immobile zone storage with thinning vegetation. Particle capture lengths also decreased by a factor of 4.3 from fall to spring. With the increasing eutrophication of Lake Erie and waterbodies around the world that lie downstream from agricultural landscapes, it is beneficial to understand nutrient transport across watersheds, including small agricultural streams. This study highlights the physical and biological roles that aquatic vegetation plays in small agricultural streams by creating seasonally variable immobile zones that slow the flow of nutrients, providing surface area for biofilms, and capturing particles that bind nutrients.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022WR033782","usgsCitation":"Field, H.R., Sawyer, A.H., Welch, S.A., Benefiel, R.K., Mathie, D.M., Hood, J.M., Pawlowski, E.D., Karwan, D.L., Kreiling, R.M., Johnson, Z.I., Hanrahan, B.R., and King, K.W., 2023, Importance of dense aquatic vegetation in seasonal phosphate and particle transport in an agricultural headwater stream: Water Resources Research, v. 59, no. 9, e2022WR033782, 17 p., https://doi.org/10.1029/2022WR033782.","productDescription":"e2022WR033782, 17 p.","ipdsId":"IP-145730","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":442192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022wr033782","text":"Publisher Index Page"},{"id":421126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Field, Hannah R.","contributorId":330103,"corporation":false,"usgs":false,"family":"Field","given":"Hannah","email":"","middleInitial":"R.","affiliations":[{"id":78811,"text":"The Ohio State University, School of Earth Sciences, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":883999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, Audrey H.","contributorId":330104,"corporation":false,"usgs":false,"family":"Sawyer","given":"Audrey","email":"","middleInitial":"H.","affiliations":[{"id":78811,"text":"The Ohio State University, School of Earth Sciences, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welch, Susan A.","contributorId":330105,"corporation":false,"usgs":false,"family":"Welch","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":78811,"text":"The Ohio State University, School of Earth Sciences, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benefiel, Ryan K.","contributorId":330106,"corporation":false,"usgs":false,"family":"Benefiel","given":"Ryan","email":"","middleInitial":"K.","affiliations":[{"id":78811,"text":"The Ohio State University, School of Earth Sciences, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mathie, Devan M.","contributorId":330107,"corporation":false,"usgs":false,"family":"Mathie","given":"Devan","email":"","middleInitial":"M.","affiliations":[{"id":78811,"text":"The Ohio State University, School of Earth Sciences, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hood, James M.","contributorId":267332,"corporation":false,"usgs":false,"family":"Hood","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":884004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pawlowski, Ethan D.","contributorId":218062,"corporation":false,"usgs":false,"family":"Pawlowski","given":"Ethan","email":"","middleInitial":"D.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":884005,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karwan, Diana L.","contributorId":207315,"corporation":false,"usgs":false,"family":"Karwan","given":"Diana","email":"","middleInitial":"L.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":884006,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":884007,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Zackary I.","contributorId":330108,"corporation":false,"usgs":false,"family":"Johnson","given":"Zackary","email":"","middleInitial":"I.","affiliations":[{"id":78814,"text":"Duke University, Nicholas School of the Environment, Duke Marine Laboratory, Beaufort, NC, United States","active":true,"usgs":false}],"preferred":false,"id":884008,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hanrahan, Brittany R.","contributorId":330109,"corporation":false,"usgs":false,"family":"Hanrahan","given":"Brittany","email":"","middleInitial":"R.","affiliations":[{"id":78815,"text":"U.S. Department of Agriculture, Agricultural Research Service, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884009,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"King, Kevin W.","contributorId":330110,"corporation":false,"usgs":false,"family":"King","given":"Kevin","email":"","middleInitial":"W.","affiliations":[{"id":78815,"text":"U.S. Department of Agriculture, Agricultural Research Service, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884010,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70248272,"text":"70248272 - 2023 - Wind-modulated groundwater discharge along a microtidal Arctic coastline","interactions":[],"lastModifiedDate":"2023-09-06T11:47:24.361413","indexId":"70248272","displayToPublicDate":"2023-09-05T06:35:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Wind-modulated groundwater discharge along a microtidal Arctic coastline","docAbstract":"

Groundwater discharge transports dissolved constituents to the ocean, affecting coastal carbon budgets and water quality. However, the magnitude and mechanisms of groundwater exchange along rapidly transitioning Arctic coastlines are largely unknown due to limited observations. Here, using first-of-its-kind coastal Arctic groundwater timeseries data, we evaluate the magnitude and drivers of groundwater discharge to Alaska's Beaufort Sea coast. Darcy flux calculations reveal temporally variable groundwater fluxes, ranging from −6.5 cm d−1 (recharge) to 14.1 cm d−1 (discharge), with fluctuations in groundwater discharge or aquifer recharge over diurnal and multiday timescales during the open-water season. The average flux during the monitoring period of 4.9 cm d−1 is in line with previous estimates, but the maximum discharge exceeds previous estimates by over an order-of-magnitude. While the diurnal fluctuations are small due to the microtidal conditions, multiday variability is large and drives sustained periods of aquifer recharge and groundwater discharge. Results show that wind-driven lagoon water level changes are the dominant mechanism of fluctuations in land–sea hydraulic head gradients and, in turn, groundwater discharge. Given the microtidal conditions, low topographic relief, and limited rainfall along the Beaufort Sea coast, we identify wind as an important forcing mechanism of coastal groundwater discharge and aquifer recharge with implications for nearshore biogeochemistry. This study provides insights into groundwater flux dynamics along this coastline over time and highlights an oft overlooked discharge and circulation mechanism with implications towards refining solute export estimates to coastal Arctic waters.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/acf0d8","usgsCitation":"Guimond, J., Demir, C., Kurylyk, B.L., Walvoord, M.A., McClelland, J., and Cardenas, M.B., 2023, Wind-modulated groundwater discharge along a microtidal Arctic coastline: Environmental Research Letters, v. 18, 094042, 10 p., https://doi.org/10.1088/1748-9326/acf0d8.","productDescription":"094042, 10 p.","ipdsId":"IP-155579","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":442198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acf0d8","text":"Publisher Index Page"},{"id":420538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -149.8787190288838,\n 70.63569535875706\n ],\n [\n -149.8787190288838,\n 70.39401335666025\n ],\n [\n -148.90750421618975,\n 70.39401335666025\n ],\n [\n -148.90750421618975,\n 70.63569535875706\n ],\n [\n -149.8787190288838,\n 70.63569535875706\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2023-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":882179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demir, Casu","contributorId":329392,"corporation":false,"usgs":false,"family":"Demir","given":"Casu","email":"","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":882180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":882181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":882182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClelland, James W.","contributorId":255074,"corporation":false,"usgs":false,"family":"McClelland","given":"James W.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":882183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cardenas, M. Bayani","contributorId":181932,"corporation":false,"usgs":false,"family":"Cardenas","given":"M.","email":"","middleInitial":"Bayani","affiliations":[],"preferred":false,"id":882184,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70249543,"text":"70249543 - 2023 - Using airborne electromagnetics to improve depth to bedrock estimates in Wisconsin","interactions":[],"lastModifiedDate":"2026-03-19T15:28:47.349369","indexId":"70249543","displayToPublicDate":"2023-09-04T10:21:36","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using airborne electromagnetics to improve depth to bedrock estimates in Wisconsin","docAbstract":"

Depth to bedrock is an important factor in hydrologic systems. The thickness of glacial sediments overlying bedrock in Wisconsin controls the routing of groundwater in surficial aquifers and its Depth to bedrock is often an important factor in hydrologic systems because hydraulic properties of bedrock and overlying sediments are typically appreciably different. For example, the thickness of glacial sediments overlying bedrock in Wisconsin controls the routing of groundwater in surficial aquifers and its connection with surface water bodies such as lakes and wetlands. In fractured bedrock environments, shallow bedrock can be vulnerable to degraded water quality when contaminants at the surface infiltrate quickly through permeable formations. Here, airborne electromagnetic surveys were acquired in three different parts of Wisconsin, totalling more than 5,700 flight line-kilometers, to improve understanding of depth to bedrock, the lithologic composition of overlying sediments, and as input structure for groundwater model development.

","conferenceTitle":"AEM2023 8th International Airborne Electromagnetics Workshop","conferenceDate":"September 3-7, 2023","conferenceLocation":"Fitzroy Island, Queensland, Australia","language":"English","publisher":"Australian Society of Exploration Geophysicists","doi":"10.5281/zenodo.10067960","usgsCitation":"Minsley, B.J., Crosbie, K.J., Duncker, J.J., Feinstein, D.T., Haas, L., Hart, D., Hunt, R.J., and Komiskey, M.J., 2023, Using airborne electromagnetics to improve depth to bedrock estimates in Wisconsin, AEM2023 8th International Airborne Electromagnetics Workshop, Fitzroy Island, Queensland, Australia, September 3-7, 2023, Extended abstract for AEM 2023 conference, https://doi.org/10.5281/zenodo.10067960.","productDescription":"Extended abstract for AEM 2023 conference","ipdsId":"IP-151339","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science 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Rangelands comprise 40% of the conterminous United States and they supply essential ecosystem services to society. A scenario assessment was conducted to determine how accelerating biophysical and societal drivers may modify their future availability. Four scenarios emerged: two may maintain rural communities by sustaining the prevailing ecosystem service of beef cattle production, and two may transform rural communities through expansion of renewable energy technologies and infusion of external capital from amenity land sales. Collaborative organizations representing diverse societal sectors may most effectively identify and manage trade-offs among ecosystem service availability, and equitably prioritize food and energy security, environmental quality and cultural identity.

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For the Maderas del Carmen and Ocampo natural protected areas, one of the main conservation goals is to preserve natural habitats, ensuring an ecological balance and making a sustainable. The main productive activity in the region is extensive livestock. Different strategies have been explored for producers to modify their practices to ensure sustainable management. In this study, we established the baseline of sustainable management indicators according to the sustainable management protocol. Soils showed a low activity and low C with a high bulk density. Establishing this baseline will allow a starting point for a long-term evaluation different from those traditionally used when evaluating the productivity of the rangeland.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"America's Grasslands Conference: Reconnecting America's Grasslands","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"6th Biennial Conference on the Conservation of America’s Grasslands","conferenceDate":"August 8-10, 2023","conferenceLocation":"Cheyenne, Wyoming","language":"English","publisher":"National Wildlife Federation","collaboration":"American Bird Conservancy, U.S. Fish and Wildlife Service, Texas Parks and Wildlife Department","usgsCitation":"Rylander, R.J., Matthews, A.M., Bunting, D., Duniway, M.C., Giocomo, J.J., Knight, A.C., Leiva, A., Perez, R.M., Stonehouse, K., Wiley, D., and Wilhelm, D., 2023, Finding a GEM: The Grassland Effectiveness Monitoring (GEM) protocol provides a tiered approach for habitat 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scenarios","interactions":[],"lastModifiedDate":"2023-09-18T16:10:45.134798","indexId":"70248693","displayToPublicDate":"2023-09-01T11:05:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Predicting exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios","docAbstract":"

Expansion of exotic annual grass (EAG), such as cheatgrass (Bromus tectorum L.) and medusahead (Taeniatherum caput-medusae [L.] Nevski), could cause irreversible changes to arid and semiarid rangeland ecosystems in the western United States. The distribution and abundance of EAG species are highly affected by weather variables such as temperature and precipitation. The study's goal is to understand how different precipitation scenarios affect EAG abundance estimates and dynamics, and we develop a machine learning modeling approach to predict how changes in annual and immediate past precipitation patterns could affect the abundance of EAG. The machine learning predictive model used seed source from previous years, weather variables, and soil profiles to drive its predictions. We achieved excellent training accuracy (r = 0.95 and median absolute error [MdAE] = 2.36% cover) and strong test accuracy (r = 0.79 and MdAE = 4.54% cover). We developed five versions of EAG abundance maps for 2022 with different precipitation scenarios: 9 yr of average precipitation, half of the average, three-fourths of the average, one and one-half times the average, and two times the average. The approach presented can be replicated to new study domains and easily modified for use with other precipitation scenarios. Developing multiple versions of a year's EAG spatially explicit abundance dataset predictions from multiple weather-based scenarios can provide important information to land managers as they prepare for variable EAG dynamics each year. Informed annual predictions based on weather scenario−driven models have the potential to improve fire preparation decisions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2023.04.011","usgsCitation":"Dahal, D., Boyte, S., and Oimoen, M., 2023, Predicting exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios: Rangeland Ecology and Management, v. 90, p. 221-230, https://doi.org/10.1016/j.rama.2023.04.011.","productDescription":"10 p.","startPage":"221","endPage":"230","ipdsId":"IP-147979","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":442239,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2023.04.011","text":"Publisher Index Page"},{"id":435197,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X84TAN","text":"USGS data release","linkHelpText":"Predicted exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios for 2022"},{"id":420908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western Untied States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.45242355750227,\n 31.772396987581942\n ],\n [\n -105.1856936491761,\n 30.61399546239568\n ],\n [\n -103.99021246136934,\n 29.26283280175393\n ],\n [\n -103.16733033715471,\n 29.0039474055486\n ],\n [\n -102.42076887243283,\n 29.768041549861138\n ],\n [\n -101.95576605455685,\n 29.91825265532337\n ],\n [\n -102.93797212338004,\n 32.12981720017679\n ],\n [\n -103.29104623071706,\n 33.65426042984974\n ],\n [\n -99.71789757762204,\n 36.53137424080809\n ],\n [\n -99.79387490882343,\n 38.32597830940938\n ],\n [\n -104.7122126346035,\n 39.695295228078066\n ],\n [\n -104.9226858781989,\n 42.06948221578742\n ],\n [\n -101.68340311320938,\n 43.22455913455809\n ],\n [\n -101.91662344068945,\n 43.972451825245315\n ],\n [\n -102.87963556603896,\n 43.61356143611883\n ],\n [\n -102.18437570164278,\n 45.23113085310041\n ],\n [\n -102.63345526939472,\n 47.81616204600766\n ],\n [\n -103.44717923975836,\n 48.88719726526338\n ],\n [\n -120.6910476023584,\n 48.97188633840639\n ],\n [\n -122.70208295005929,\n 37.79126641008084\n ],\n [\n -121.84809706782082,\n 36.52429215449969\n ],\n [\n -121.04163391277447,\n 34.926756477563686\n ],\n [\n -120.43670816364622,\n 34.38681644210135\n ],\n [\n -118.39009707275434,\n 33.78569314825347\n ],\n [\n -117.21108571885287,\n 32.40614115660614\n ],\n [\n -114.51291465224432,\n 32.69460597026193\n ],\n [\n -114.73627119941546,\n 32.42891363567611\n ],\n [\n -111.10415956640946,\n 31.340607654617102\n ],\n [\n -108.17206424833958,\n 31.203549116979488\n ],\n [\n -107.9994867044243,\n 31.734373523939368\n ],\n [\n -106.45242355750227,\n 31.772396987581942\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dahal, Devendra 0000-0001-9594-1249","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":192023,"corporation":false,"usgs":false,"family":"Dahal","given":"Devendra","affiliations":[],"preferred":false,"id":883228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyte, Stephen P. 0000-0002-5462-3225","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":205374,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":883229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oimoen, Michael","contributorId":329763,"corporation":false,"usgs":false,"family":"Oimoen","given":"Michael","affiliations":[{"id":65508,"text":"KBR, Contractor to the USGS EROS Center","active":true,"usgs":false}],"preferred":false,"id":883230,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248872,"text":"70248872 - 2023 - Ground motion and seismic hazard in the central and eastern United States","interactions":[],"lastModifiedDate":"2026-03-19T15:08:47.759038","indexId":"70248872","displayToPublicDate":"2023-09-01T10:02:25","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":21641,"text":"Technical Letter Report","active":true,"publicationSubtype":{"id":1}},"title":"Ground motion and seismic hazard in the central and eastern United States","docAbstract":"

This report describes work carried out under the U.S. Nuclear Regulatory Commission (NRC) Interagency Agreement to the U.S. Geological Survey (USGS) “Research to Support NRC’s Seismic Hazard Analyses” for Task 3, “Seismic Hazard and Ground Motion Models.” The focus of this work has been on evaluation of the Next Generation Attenuation (NGA)-East groundmotion models (GMMs) with available ground-motion data and evaluation of alternative methods for characterizing epistemic uncertainty for probabilistic seismic hazard analysis (PSHA).  

When the Interagency Agreement commenced, the USGS’s National Seismic Hazard Model (NSHM) was being updated, and a significant part of the update for the 2018 NSHM included the introduction of new GMMs for the central and eastern United States (CEUS) (Petersen et al., 2020). In addition to the implementation of the then-recently developed NGA-East GMMs (Goulet et al., 2018), the ground-motion characterization for the CEUS in the 2018 NSHM also included a logic-tree branch with weights applied to the updated “adjusted seed” models that were developed as part of the NGA-East process and in updates by the GMM developers.  

The Statement of Work for Task 3 of the NRC Interagency Agreement to the USGS included the following parts: (1) Describe technically acceptable approaches in combining GMMs for use in PSHA calculations; (2) Evaluate the effect of using different sets of GMMs (NGA-East SSHAC versus NGA-East USGS) on PSHA calculations; (3) Describe the results of the GMM testing against recorded data, and provide a recommendation on the GMMs application for use in the PSHA; (4) Evaluate the impacts of recently updated individual GMMs on the published NGAEast models; and (5) Submit a final Technical Letter Report documenting results of this task.

We present results from this work in two sections: (Chapter 1) Updated Central and Eastern United States Ground Motions and Ground-Motion Analyses; and (Chapter 2) Approaches to Combining Ground-Motion Models for Probabilistic Seismic Hazard Analysis in the Central and Eastern United States.

","language":"English","publisher":"U.S. Nuclear Regulatory Commission","usgsCitation":"Moschetti, M.P., Thompson, E.M., Boyd, O.S., Engler, D.T., Worden, B., Ferragut, G., Rezaeian, S., and Powers, P.M., 2023, Ground motion and seismic hazard in the central and eastern United States: Technical Letter Report, 73 p.","productDescription":"73 p.","ipdsId":"IP-154468","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":501310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"central and eastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.90807059528223,\n 48.94073422059739\n ],\n [\n -106.90807059528223,\n 20.331161730583176\n ],\n [\n -61.27021618898843,\n 20.331161730583176\n ],\n [\n -61.27021618898843,\n 48.94073422059739\n ],\n [\n -106.90807059528223,\n 48.94073422059739\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":883992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":883993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":883994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engler, Davis T. 0000-0002-7133-3545","orcid":"https://orcid.org/0000-0002-7133-3545","contributorId":265962,"corporation":false,"usgs":true,"family":"Engler","given":"Davis","email":"","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":883995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Worden, Bruce","contributorId":64648,"corporation":false,"usgs":true,"family":"Worden","given":"Bruce","affiliations":[],"preferred":false,"id":957156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferragut, Gabriel Christian 0000-0002-0776-9176","orcid":"https://orcid.org/0000-0002-0776-9176","contributorId":330101,"corporation":false,"usgs":true,"family":"Ferragut","given":"Gabriel Christian","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":883996,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":883997,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":883998,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70237615,"text":"70237615 - 2023 - Fluorine-rich mafic lower crust in the southern Rocky Mountains: The role of pre-enrichment in generating fluorine-rich silicic magmas and porphyry Mo deposits","interactions":[],"lastModifiedDate":"2023-09-19T14:52:37.538067","indexId":"70237615","displayToPublicDate":"2023-09-01T09:46:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Fluorine-rich mafic lower crust in the southern Rocky Mountains: The role of pre-enrichment in generating fluorine-rich silicic magmas and porphyry Mo deposits","docAbstract":"

Fluorine-rich granites and rhyolites occur throughout the southern Rocky Mountains, but the origin of F-enrichment has remained unclear. We test if F-enrichment could be inherited from ancient mafic lower crust by: (1) measuring amphibole compositions, including F and Cl contents, of lower crustal mafic granulite xenoliths from northern Colorado to determine if they are unusually enriched in halogens; (2) analyzing whole-rock elemental and Sr, Nd, and Pb isotopic compositions for upper crustal Cretaceous to Oligocene igneous rocks in Colorado to evaluate their sources; and (3) comparing batch melting models of mafic lower crustal source rocks to melt F and Cl abundances derived from biotite data from the F-rich silicic Never Summer batholith. This approach allows us to better determine if the mafic lower crust was pre-enriched in F, if it is concentrated enough to generate F-rich anatectic melts, and if geochemical data support an ancient lower crustal origin for the F-rich rocks in the southern Rocky Mountains.

Electron microprobe analyses of amphibole in lower crustal mafic granulite xenoliths show they contain 0.56–1.38 wt% F and 0.45–0.73 wt% Cl. Titanium in calcium amphibole thermometry indicates that the amphiboles equilibrated at high to ultrahigh temperature conditions (805 to 940 °C), and semiquantitative amphibole thermobarometry indicates the amphiboles equilibrated at 0.5 to 1.0 GPa prior to entrainment in magmas during the Devonian. Mass balance calculations, based on these new measurements, indicate parts of the mafic lower crust in Colorado are at least 3.5 times more enriched in F than average mafic lower crust. Intrusions coeval with the Laramide Orogeny (75 to 38 Ma) pre-date F-rich magmatism in Colorado and have Sr and Nd isotopic compositions consistent with mafic lower crust ± mantle sources, but many of these intrusions contain elevated Sr/Y ratios (>40) that suggest amphibole was a stable phase during magma generation. The F-rich igneous rocks from the Never Summer igneous complex and Colorado Mineral Belt also have Sr and Nd isotopic compositions that overlap with the lower crustal mafic granulite xenoliths, but they have lower Sr/Y, higher Nb and Y abundances, and distinctly less radiogenic 206Pb/204Pbi compositions than preceding Laramide magmatism. Batch melt modeling indicates low-degree partial melts derived from rocks similar to the mafic lower crustal xenoliths we analyzed can yield silicic melts with >2000 ppm F, similar to estimated F melt concentrations for silicic melts that are interpreted to be parental to evolved leucogranites.

We suggest that F-rich silicic melts in the southern Rocky Mountains were sourced from garnet-free mafic lower crust, and that fluid-absent breakdown of amphibole in ultrahigh temperature metamorphic rocks was a key process in their generation. Based on the composition of high-F amphibole measured from lower crustal xenoliths, the temperature of amphibole breakdown and melt generation for these F-enriched source rocks is likely >100 °C higher than similar lower crust with low or average F abundances. As such, these source rocks only melted during periods of unusually high heat flow into the lower crust, such as during an influx of mantle-derived magmas related to rifting or the post-Laramide ignimbrite flare-up in the region. These data have direct implications for the genesis of porphyry Mo mineralization, because they indicate that pre-enrichment of F in the deep crust could be a necessary condition for later anatexis and generation of F-rich magmas.

","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2022-8503","usgsCitation":"Rosera, J.M., Frazer, R.E., Mills, R.D., Jacob, K., Gaynor, S., Coleman, D., and Farmer, G.L., 2023, Fluorine-rich mafic lower crust in the southern Rocky Mountains: The role of pre-enrichment in generating fluorine-rich silicic magmas and porphyry Mo deposits: American Mineralogist, v. 108, no. 9, p. 1573-1596, https://doi.org/10.2138/am-2022-8503.","productDescription":"24 p.","startPage":"1573","endPage":"1596","ipdsId":"IP-136845","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":442244,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.2138/am-2022-8503","text":"External Repository"},{"id":420952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"Colorado Mineral Belt","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.67084182013525,\n 40.707591104691545\n ],\n [\n -108.59155062790768,\n 40.707591104691545\n ],\n [\n -108.59155062790768,\n 36.46218720422068\n ],\n [\n -104.67084182013525,\n 36.46218720422068\n ],\n [\n -104.67084182013525,\n 40.707591104691545\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"108","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rosera, Joshua Mark 0000-0003-3807-5000","orcid":"https://orcid.org/0000-0003-3807-5000","contributorId":270284,"corporation":false,"usgs":true,"family":"Rosera","given":"Joshua","email":"","middleInitial":"Mark","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":854657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frazer, Ryan Edward 0000-0002-7319-1894","orcid":"https://orcid.org/0000-0002-7319-1894","contributorId":297924,"corporation":false,"usgs":true,"family":"Frazer","given":"Ryan","email":"","middleInitial":"Edward","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":854658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mills, Ryan D.","contributorId":297925,"corporation":false,"usgs":false,"family":"Mills","given":"Ryan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":854659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacob, Kristin","contributorId":297926,"corporation":false,"usgs":false,"family":"Jacob","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":854660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaynor, Sean P.","contributorId":297927,"corporation":false,"usgs":false,"family":"Gaynor","given":"Sean P.","affiliations":[],"preferred":false,"id":854661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coleman, Drew S.","contributorId":297928,"corporation":false,"usgs":false,"family":"Coleman","given":"Drew S.","affiliations":[],"preferred":false,"id":854662,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Farmer, G. Lang","contributorId":15075,"corporation":false,"usgs":false,"family":"Farmer","given":"G.","email":"","middleInitial":"Lang","affiliations":[],"preferred":false,"id":854663,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70248459,"text":"70248459 - 2023 - Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures","interactions":[],"lastModifiedDate":"2023-09-14T14:09:36.134544","indexId":"70248459","displayToPublicDate":"2023-09-01T09:08:45","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures","docAbstract":"The origin of Au-bearing, low sulfide quartz veins in the Pogo and Tibbs Creek regions of interior Alaska remain enigmatic. Intrusion-related Au and mesozonal orogenic vein models have both been proposed (Thompson and Newberry, 2000; Rhys et al., 2003; Goldfarb et al., 2022; Dilworth et al., 2007). To date, studies of igneous geochronology and metamorphic timing have shown that gold veins formed between intervals of magmatism and post-date regional metamorphic fabrics. Relatively little description of detailed mineralogy, vein textures, and absolute timing of mineralization exist – resulting in new questions about the deposit origin. This study attempts to relate these parameters through investigation of new U-Pb crystallization and Re-Os mineralization ages combined with detailed descriptions of vein textures to constrain the origin of the veins.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SGA 2023: Mineral resources in a changing world","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SGA 2023: Mineral Resources in a Changing World","conferenceDate":"August 29-September 1, 2023","conferenceLocation":"Zürich, Switzerland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Kreiner, D.C., Thompson, W., Caine, J., Ball, A., Holm-Denoma, C., O’Sullivan, P., and Stein, H.J., 2023, Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures, in Proceedings of SGA 2023: Mineral resources in a changing world, v. 3, Zürich, Switzerland, August 29-September 1, 2023, p. 80-83.","productDescription":"4 p.","startPage":"80","endPage":"83","ipdsId":"IP-150573","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":420790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -139.65067350561475,\n 61.56694937120494\n ],\n [\n -139.05576620713518,\n 63.59626040438653\n ],\n [\n -149.50481315806874,\n 65.5506094851404\n ],\n [\n -149.72901973722165,\n 63.35621506893642\n ],\n [\n -139.65067350561475,\n 61.56694937120494\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":882986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, William","contributorId":329692,"corporation":false,"usgs":false,"family":"Thompson","given":"William","affiliations":[{"id":78688,"text":"Northern Star Resources","active":true,"usgs":false}],"preferred":false,"id":882987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":882988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, Ashleigh","contributorId":329693,"corporation":false,"usgs":false,"family":"Ball","given":"Ashleigh","email":"","affiliations":[{"id":78688,"text":"Northern Star Resources","active":true,"usgs":false}],"preferred":false,"id":882989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":882990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Sullivan, Paul 0000-0002-7247-5107","orcid":"https://orcid.org/0000-0002-7247-5107","contributorId":254377,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","affiliations":[{"id":51089,"text":"Geosep Services","active":true,"usgs":false}],"preferred":false,"id":882991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stein, Holly J. 0000-0002-9709-7165","orcid":"https://orcid.org/0000-0002-9709-7165","contributorId":210107,"corporation":false,"usgs":false,"family":"Stein","given":"Holly","email":"","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":true,"id":882992,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70267362,"text":"70267362 - 2023 - Induced seismicity and its impact on existing seismic hazard analysis","interactions":[],"lastModifiedDate":"2025-05-21T13:52:21.335242","indexId":"70267362","displayToPublicDate":"2023-09-01T08:48:53","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":21641,"text":"Technical Letter Report","active":true,"publicationSubtype":{"id":1}},"title":"Induced seismicity and its impact on existing seismic hazard analysis","docAbstract":"We develop a scheme for mapping changes in earthquake rates within a region in near-real-time. A specific goal of the work is to track recent changes in the rates of induced earthquakes in the central and eastern United States. We map rates in a time window of interest, map rates in a preceding time window, and then ratio the two maps to show changes. A proof-of-concept map is first prepared, comparing rates during the first six months of 2010 with rates from the preceding five years; this demonstration map shows, among other things, the growth of induced seismicity in Oklahoma during 2010. We then present a series of ten ratio maps: the first six months of 2018 compared with the preceding five years, and so on in six-month increments through the end of 2022. These maps show changes in the rates and locations of induced earthquakes, as well as other seismicity trends. Map regions, time windows, and other model parameters are easily adaptable for other applications.","language":"English","publisher":"U.S. Nuclear Regulatory Comission","usgsCitation":"Mueller, C., and Shumway, A., 2023, Induced seismicity and its impact on existing seismic hazard analysis: Technical Letter Report, xv, 17 p.","productDescription":"xv, 17 p.","ipdsId":"IP-152895","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":486279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":486278,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.nrc.gov/docs/ML2325/ML23257A188.pdf"}],"noUsgsAuthors":false,"publicationDate":"2023-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":937973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shumway, Allison M. 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":937974,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70252959,"text":"70252959 - 2023 - Interstate 15 wildlife crossing design considerations for focal wildlife species - Santa Ana-Palomar Mountains Linkage southern California","interactions":[],"lastModifiedDate":"2024-04-12T13:52:55.734858","indexId":"70252959","displayToPublicDate":"2023-09-01T08:38:51","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Interstate 15 wildlife crossing design considerations for focal wildlife species - Santa Ana-Palomar Mountains Linkage southern California","docAbstract":"

The Nature Conservancy (TNC) and the California Department of Transportation (Caltrans), along with landowners including San Diego State University, California Department of Fish and Wildlife, Western Riverside Regional Conservation Authority and Riverside County Flood Control District are developing wildlife crossing infrastructure projects along a 3-mile stretch of Interstate 15 (I-15) in the Santa Ana-Palomar Mountains Linkage (hereafter ‘Linkage’) in southern California. These crossings will provide a critical missing link that will help reconnect wildlife in the coastal Santa Ana Mountains west of I-15 with those in the interior Palomar and Eastern Peninsular ranges to the east of I-15. The Linkage supports intact and diverse habitats including coastal sage scrub, grasslands, chaparral, and oak and riparian woodlands, and has been a focus of regional conservation efforts for the last 30 years.

The three wildlife crossing infrastructure projects include enhancement of the existing Temecula Creek I-15 Bridge, construction of a new vegetated wildlife overcrossing, and construction of a new stand-alone wildlife culvert.

Given the challenges and level of financial investment required to secure wildlife crossings for I-15 in the Linkage, TNC and Caltrans proposed that planning efforts would benefit from input by taxonomic experts on design concepts that meet the needs of the broadest range of wildlife. While wildlife crossings are becoming more common, optimal designs that meet the needs of a variety of wildlife species are largely unknown and can be site specific. To address this challenge, we held a workshop in February 2022 that brought together over 50 wildlife experts to brainstorm and identify specific design considerations for various focal wildlife species groups (medium/large mammals, small animals, birds, bats, plants, and invertebrates) that might use the identified I-15 wildlife crossings (The Nature Conservancy 2022).

Lead experts for each focal species group worked together to identify specific wildlife crossing features or attributes for each of the three proposed wildlife crossings.

Specific attributes evaluated by experts for each crossing type and species group included, at a minimum:

• Crossing Structure Attributes;

o Habitat features? (cover, habitat structure, substrate, moisture, light and noise mitigation)

• Crossing Approach Area Features;

o Habitat features (cover type/density, substrate, water, light and noise mitigation)

• Barrier design to reduce roadkill and/or to funnel wildlife to the crossing;

• Additional research to resolve uncertainties related to crossing design

Based on the design considerations for each potential crossing type, the experts then weighed in on the suitability of the existing location and probability of use by their focal species or groups of species. With proposed design features, Temecula Creek Bridge has moderate or high probability of use by 27 of the 36 focal wildlife species assessed, while the vegetated overcrossing could meet the needs of 26 of the 36 species. When combined, Temecula Creek Bridge and the vegetated overcrossing have a moderate or high probability of use for 34 of the 36 species. The wildlife culvert has a moderate or high level of expected use by 10 of the 36 focal species and could serve connectivity needs for representative species from all but the bird and plant species groups.

","language":"English","publisher":"The Nature Conservancy","usgsCitation":"Smith, T., Brehme, C.S., Carpenter, J., Frost, N.A., Jennings, M., Kus, B., Quinnell, S., Straham, S., and Vickers, T.W., 2023, Interstate 15 wildlife crossing design considerations for focal wildlife species - Santa Ana-Palomar Mountains Linkage southern California, iv, 46 p.","productDescription":"iv, 46 p.","ipdsId":"IP-156534","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":427729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427723,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.scienceforconservation.org/products/interstate-15-wildlife-crossing-design"}],"country":"United States","state":"California","otherGeospatial":"Santa Ana-Palomar Mountains Linkage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.96277940038678,\n 33.17061852067067\n ],\n [\n -116.96277940038678,\n 33.583670223835924\n ],\n [\n -117.44162796500501,\n 33.583670223835924\n ],\n [\n -117.44162796500501,\n 33.17061852067067\n ],\n [\n -116.96277940038678,\n 33.17061852067067\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Trish","contributorId":335587,"corporation":false,"usgs":false,"family":"Smith","given":"Trish","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":898763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":898764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carpenter, Jill","contributorId":335588,"corporation":false,"usgs":false,"family":"Carpenter","given":"Jill","email":"","affiliations":[{"id":80443,"text":"LSA Associates","active":true,"usgs":false}],"preferred":false,"id":898765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frost, Nancy A.","contributorId":200382,"corporation":false,"usgs":false,"family":"Frost","given":"Nancy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":898766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jennings, Megan","contributorId":298254,"corporation":false,"usgs":false,"family":"Jennings","given":"Megan","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":898767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":898768,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Quinnell, Scott","contributorId":335593,"corporation":false,"usgs":false,"family":"Quinnell","given":"Scott","email":"","affiliations":[],"preferred":false,"id":898780,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Straham, Spring","contributorId":335589,"corporation":false,"usgs":false,"family":"Straham","given":"Spring","email":"","affiliations":[{"id":80444,"text":"Wildspring Ecology","active":true,"usgs":false}],"preferred":false,"id":898769,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vickers, T. Winston","contributorId":198755,"corporation":false,"usgs":false,"family":"Vickers","given":"T.","email":"","middleInitial":"Winston","affiliations":[],"preferred":false,"id":898770,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70248041,"text":"70248041 - 2023 - The consequences of neglecting reservoir storage in national-scale hydrologic models: An appraisal of key streamflow statistics","interactions":[],"lastModifiedDate":"2024-02-26T15:39:42.549578","indexId":"70248041","displayToPublicDate":"2023-09-01T08:12:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The consequences of neglecting reservoir storage in national-scale hydrologic models: An appraisal of key streamflow statistics","docAbstract":"

A better understanding of modeled streamflow errors related to basin reservoir storage is needed for large regions, which normally have many ungaged basins with reservoirs. We quantified the difference between modeled and observed streamflows for one process-based and three statistical-transfer hydrologic models, none of which explicitly accounted for reservoir storage. Streamflow statistics representing low to high flows, seasonality, annual variability, and daily autocorrelation were examined at 1082 study basins across the conterminous USA. All models increasingly overpredict (or decreasingly underpredict) observed annual maximum flows with increasing storage. Correlations between absolute values of errors for low-flow statistics and storage are often larger in magnitude than those for signed errors—additional storage is associated with increases in model errors in both directions even when its overall effect in one direction is weak. The rate of increase in absolute values of model errors was nonlinear for most statistics. For low flows, model errors had a change point to larger errors at 48 days of reservoir storage (relative to long-term mean daily flow); mean and high flows had change points at 147 to 176 days. We present predicted-to-observed errors for nine streamflow statistics over a large range of reservoir storage to help modelers and users of modeled streamflow understand the amount of storage for which explicit reservoir modeling is needed.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13161","usgsCitation":"Hodgkins, G.A., Over, T.M., Dudley, R., Russell, A.M., and LaFontaine, J.H., 2023, The consequences of neglecting reservoir storage in national-scale hydrologic models: An appraisal of key streamflow statistics: Journal of the American Water Resources Association, v. 60, no. 1, p. 110-131, https://doi.org/10.1111/1752-1688.13161.","productDescription":"22 p.","startPage":"110","endPage":"131","ipdsId":"IP-122614","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":420408,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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States\"}}]}","volume":"60","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Over, Thomas M. 0000-0001-8280-4368","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":204650,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dudley, Robert W. 0000-0002-0934-0568","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":220211,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Russell, Amy M. 0000-0003-0582-0094 arussell@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0094","contributorId":200011,"corporation":false,"usgs":true,"family":"Russell","given":"Amy","email":"arussell@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881602,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70259736,"text":"70259736 - 2023 - Pre-eruptive outgassing and pressurization, and post-fragmentation bubble nucleation, recorded by vesicles in breadcrust bombs from vulcanian activity at Guagua Pichincha Volcano, Ecuador","interactions":[],"lastModifiedDate":"2024-10-22T12:23:03.054841","indexId":"70259736","displayToPublicDate":"2023-09-01T07:21:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7514,"text":"Journal of Geophysical Research - Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Pre-eruptive outgassing and pressurization, and post-fragmentation bubble nucleation, recorded by vesicles in breadcrust bombs from vulcanian activity at Guagua Pichincha Volcano, Ecuador","docAbstract":"

Breadcrust bombs formed during Vulcanian eruptions are assumed to originate from the shallow plug or dome. Their rim to core texture reflects the competition between cooling and degassing timescales, which results in a dense crust with isolated vesicles contrasting with a highly vesicular vesicle network in the interior. Due to relatively fast quenching, the crust can shed light on pre- and syn-eruptive conditions prior to or during fragmentation, whereas the interior allows us to explore post-fragmentation vesiculation. Investigation of pre- to post-fragmentation processes in breadcrust bombs from the 1999 Vulcanian activity at Guagua Pichincha, Ecuador, via 2D and 3D textural analysis reveals a complex vesiculation history, with multiple, spatially localized nucleation and growth events. Large vesicles (Type 1), present in low number density in the crust, are interpreted as pre-eruptive bubbles formed by outgassing and collapse of a permeable bubble network during ascent or stalling in the plug. Haloes of small, syn-fragmentation vesicles (Type 2), distributed about large vesicles, are formed by pressurization and enrichment of volatiles in these haloes. The nature of the pressurization process in the plug is discussed in light of seismicity and ground deformation signals, and previous textural and chemical studies. A third population (Type 3) of post-fragmentation small vesicles appears in the interior of the bomb, and growth and coalescence of Type 2 and 3 vesicles causes the transition from isolated to interconnected bubble network in the interior. We model the evolution of viscosity, bubble growth rate, diffusion timescales, bubble radius and porosity during fragmentation and cooling. These models reveal that thermal quenching dominates in the crust whereas the interior undergoes a viscosity quench caused by degassing, and that the transition from crust to interior corresponds to the onset of percolation and development of permeability in the bubble network.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JB026775","usgsCitation":"Colombier, M., Manga, M., Wright, H.M., Bernard, B., deGraffenried, R., Caceres, F., Samaniego, P., Vasseur, J., Jakata, K., Cook, P., and Dingwell, D.B., 2023, Pre-eruptive outgassing and pressurization, and post-fragmentation bubble nucleation, recorded by vesicles in breadcrust bombs from vulcanian activity at Guagua Pichincha Volcano, Ecuador: Journal of Geophysical Research - Solid Earth, v. 128, no. 9, e2023JB026775, 16 p., https://doi.org/10.1029/2023JB026775.","productDescription":"e2023JB026775, 16 p.","ipdsId":"IP-154811","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467095,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jb026775","text":"Publisher Index Page"},{"id":463091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"Guagua Pichincha Volcano","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-80.30256,-3.40486],[-79.77029,-2.65751],[-79.98656,-2.22079],[-80.36878,-2.68516],[-80.96777,-2.24694],[-80.76481,-1.96505],[-80.93366,-1.05745],[-80.58337,-0.90666],[-80.39932,-0.2837],[-80.0209,0.36034],[-80.09061,0.76843],[-79.54276,0.98294],[-78.85526,1.38092],[-77.85506,0.80993],[-77.66861,0.82589],[-77.42498,0.39569],[-76.57638,0.25694],[-76.29231,0.41605],[-75.80147,0.0848],[-75.37322,-0.15203],[-75.23372,-0.91142],[-75.545,-1.56161],[-76.63539,-2.60868],[-77.8379,-3.00302],[-78.45068,-3.8731],[-78.6399,-4.54778],[-79.20529,-4.95913],[-79.62498,-4.4542],[-80.02891,-4.34609],[-80.44224,-4.42572],[-80.46929,-4.05929],[-80.18401,-3.82116],[-80.30256,-3.40486]]]},\"properties\":{\"name\":\"Ecuador\"}}]}","volume":"128","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Colombier, Mathieu","contributorId":328620,"corporation":false,"usgs":false,"family":"Colombier","given":"Mathieu","email":"","affiliations":[{"id":78422,"text":"LMU Munich","active":true,"usgs":false}],"preferred":false,"id":916517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael 0000-0003-3286-4682","orcid":"https://orcid.org/0000-0003-3286-4682","contributorId":265640,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":916518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernard, Benjamin","contributorId":178529,"corporation":false,"usgs":false,"family":"Bernard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":916520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"deGraffenried, Rebecca","contributorId":267918,"corporation":false,"usgs":false,"family":"deGraffenried","given":"Rebecca","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":916521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caceres, Francisco","contributorId":328621,"corporation":false,"usgs":false,"family":"Caceres","given":"Francisco","email":"","affiliations":[{"id":78422,"text":"LMU Munich","active":true,"usgs":false}],"preferred":false,"id":916522,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Samaniego, Pablo","contributorId":205724,"corporation":false,"usgs":false,"family":"Samaniego","given":"Pablo","email":"","affiliations":[{"id":37157,"text":"Université Clermont Auvergne, CNRS, IRD, OPGC, Laboratoire Magmas et Volcans, F-63000 Clermont-Ferrand, France","active":true,"usgs":false}],"preferred":false,"id":916523,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vasseur, Jeremie","contributorId":315405,"corporation":false,"usgs":false,"family":"Vasseur","given":"Jeremie","email":"","affiliations":[{"id":36958,"text":"LMU Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":916524,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jakata, K","contributorId":345424,"corporation":false,"usgs":false,"family":"Jakata","given":"K","email":"","affiliations":[{"id":82577,"text":"ESRF - The European Synchrotron","active":true,"usgs":false}],"preferred":false,"id":916525,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cook, Paul","contributorId":175585,"corporation":false,"usgs":false,"family":"Cook","given":"Paul","affiliations":[],"preferred":false,"id":916526,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dingwell, Donald B.","contributorId":201841,"corporation":false,"usgs":false,"family":"Dingwell","given":"Donald","email":"","middleInitial":"B.","affiliations":[{"id":36273,"text":"Ludwig-Maximilians-Universität (LMU) München","active":true,"usgs":false}],"preferred":false,"id":916527,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70258203,"text":"70258203 - 2023 - Timing of reproduction underlies fitness tradeoffs for a salmonid fish","interactions":[],"lastModifiedDate":"2024-09-09T12:17:41.043338","indexId":"70258203","displayToPublicDate":"2023-09-01T07:14:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Timing of reproduction underlies fitness tradeoffs for a salmonid fish","docAbstract":"

Life history diversity is generated and maintained in part by density-dependent fitness tradeoffs that inhibit a single trait value from reaching fixation. While central to our understanding of evolution, demonstrating density dependence in the strength of fitness tradeoffs is difficult in natural systems. The timing of reproduction is a key life history trait that determines access to breeding habitat and exposure of offspring to competitive interactions and environmental conditions. Understanding the processes underlying diversity in reproductive timing will aid efforts to increase adaptive capacity under global environmental change. Here, we used detailed field studies, genetic parentage assignment, and simulation modeling to evaluate the fitness tradeoffs associated with the timing of reproduction for Yellowstone cutthroat trout Oncorhynchus clarkii bouvieri in groundwater-dominated tributaries to the upper Snake River, Wyoming, USA. We conducted our study across two years to understand how the strength of tradeoffs changes with population density. We found that early breeders experienced reduced reproductive success relative to later breeders due to the negative impact of nest superimposition (where later breeders construct nests overlapping those constructed previously) on embryo survival. However, as the risk of superimposition declined in the low-density year and early breeders experienced fewer losses, reproductive success became more similar among individuals breeding at different times. Further, in the spring following the critical period for growth and survival, offspring of early breeders had experienced longer growing seasons, attained larger body sizes, and were equally abundant relative to those of later breeders, suggesting that fitness losses due to superimposition may be offset by size-dependent competitive ability and overwinter survival. Our results illustrate a mechanism underlying diversity in the timing of reproduction for salmonids. This type of life history diversity will help to ensure the resilience and stability of salmonid populations attempting to adapt to changing local stressors associated with global climate change.

","language":"English","publisher":"Wiley","doi":"10.1111/oik.10184","usgsCitation":"Baldock, J., Al-Chokhachy, R., Campbell, M., and Walters, A.W., 2023, Timing of reproduction underlies fitness tradeoffs for a salmonid fish: Oikos, v. 2023, no. 11, e10184, https://doi.org/10.1111/oik.10184.","productDescription":"e10184","ipdsId":"IP-152650","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":442252,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/7839081","text":"External Repository"},{"id":433604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2023","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baldock, Jeffrey R","contributorId":243644,"corporation":false,"usgs":false,"family":"Baldock","given":"Jeffrey R","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":912571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":211560,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":912572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Matthew R.","contributorId":338262,"corporation":false,"usgs":false,"family":"Campbell","given":"Matthew R.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":912573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":912574,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262388,"text":"70262388 - 2023 - Landowner and biologist perceptions of game bird predators and management","interactions":[],"lastModifiedDate":"2025-01-17T15:55:47.287752","indexId":"70262388","displayToPublicDate":"2023-09-01T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Landowner and biologist perceptions of game bird predators and management","docAbstract":"

Nest survival has been identified as one of the most influential vital rates causing population change in game birds, and depredation, often influenced by habitat loss and fragmentation, is the primary cause of nest failure of upland game birds. We were interested in quantifying and comparing the perspectives of landowners and biologists in South Dakota regarding complex predator-prey interactions to improve communication and management efficacy. We developed a questionnaire regarding the following: 1) general attitude statements about game bird species; 2) perceived impacts of 9 factors (e.g., development, pollution, predators) and 13 potential predators on game bird abundances; and 3) attitude statements regarding use of lethal predator control and nesting habitat management practices. A cluster analysis using landowner attitude statements about predator management identified 3 landowner segments that had strong (most supportive; 37%), moderate (moderately supportive; 35%), or weak (least supportive; 28%) attitude statements about lethal predator control. Landowner segments most supportive and moderately supportive of predator control rated predators as the primary negative factor impacting game bird abundances and agreed that predators were the primary cause of game bird abundance declines, whereas the landowner segment least supportive of predator control rated habitat loss as the top factor and disagreed that predators were the primary cause of game bird declines. Biologists rated habitat loss as the top factor negatively impacting game bird abundances and disagreed that predators were the primary cause of game bird abundance declines. Thus, when considering the effectiveness of strategies to reduce nest depredation, most landowners focused on the direct cause of nest failures (predators), whereas biologists focused on an indirect cause (habitat loss). Perception differences among these groups emphasizes the need for better communication on proximate and ultimate factors affecting game bird populations and how these differences may impact management decisions.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1443","usgsCitation":"Fina, S., Gigliotti, L.M., Pearse, A., and Stafford, J.D., 2023, Landowner and biologist perceptions of game bird predators and management: Wildlife Society Bulletin, v. 47, no. 3, e1443, 15 p., https://doi.org/10.1002/wsb.1443.","productDescription":"e1443, 15 p.","ipdsId":"IP-129641","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1443","text":"Publisher Index Page"},{"id":480738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","county":"Faulk County, Hand County","otherGeospatial":"north-central South Dakota","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.7249,45.2459],[-98.7184,45.2449],[-98.7209,45.1024],[-98.7186,44.8965],[-98.707,44.8959],[-98.7069,44.6348],[-98.7066,44.5481],[-98.7034,44.5481],[-98.6994,44.4354],[-98.7012,44.1979],[-98.8077,44.1979],[-98.8211,44.1986],[-98.9257,44.1976],[-98.9448,44.1982],[-99.0417,44.1971],[-99.0627,44.1982],[-99.1654,44.1974],[-99.1833,44.1967],[-99.2866,44.1959],[-99.2987,44.1964],[-99.2992,44.2397],[-99.302,44.5498],[-99.3123,44.5499],[-99.3132,44.8976],[-99.3287,44.8986],[-99.5728,44.8983],[-99.5743,45.0722],[-99.5719,45.1019],[-99.5751,45.2458],[-99.4735,45.2464],[-99.4515,45.2453],[-99.3414,45.2462],[-99.2177,45.2465],[-99.2054,45.2454],[-98.7249,45.2459]]]},\"properties\":{\"name\":\"Faulk\",\"state\":\"SD\"}}]}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Fina, Samantha R.","contributorId":349107,"corporation":false,"usgs":false,"family":"Fina","given":"Samantha R.","affiliations":[{"id":5088,"text":"SDSU","active":true,"usgs":false}],"preferred":false,"id":924014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Aaron T.","contributorId":349108,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":924016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stafford, Joshua D. 0000-0001-7590-8708 jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924013,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}