Polychlorinated dibenzo-p-dioxin and polychlorinated dibenzofuran (PCDD/F) are persistent, toxic, and bioaccumulative. Currently, PCDD/F monitoring programs primarily use fish and birds with potentially large home ranges to monitor temporal trends over broad spatial scales; sentinel organisms that provide targeted sediment contaminant information across small geographic areas have yet to be developed. Riparian orb-weaving spiders, which typically have small home ranges and consume primarily adult aquatic insects, are potential PCDD/F sentinels. Recent studies have demonstrated that spider tissue concentrations indicate the source and magnitude of dioxin-like chlorinated compounds in contaminated sediments, including polychlorinated biphenyls (PCBs). Our aim in the present study was to assess the utility of riparian spiders as sentinels for PCDD/F-contaminated sediments. We measured PCDD/F (total [Σ] and homologs) in surface sediments and spiders collected from three sites within the St. Louis River basin (Minnesota and Wisconsin, USA). We then compared (1) patterns in ΣPCDD/F concentrations between sediment and spiders, (2) the distribution of homologs within sediments and spiders when pooled across sites, and (3) the relationship between sediment and spider concentrations of PCDD/F homologs across 13 stations sampled across the three sites. The ΣPCDD/F concentrations in sediment (mean ± standard error 286 591 ± 97 614 pg/g) were significantly higher than those in riparian spiders (2463 ± 977 pg/g, p < 0.001), but the relative abundance of homologs in sediment and spiders were not significantly different. Spider homolog concentrations were significantly and positively correlated with sediment concentrations across a gradient of sediment PCDD/F contamination (R2 = 0.47, p < 0.001). Our results indicate that, as has been shown for other legacy organic chemicals like PCBs, riparian spiders are suitable sentinels of PCDD/F in contaminated sediment.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.5531","usgsCitation":"Beaubien, G.B., White, D.P., Walters, D., Otter, R.R., Fritz, K.M., Crone, B., and Mills, M.A., 2023, Riparian spiders: Sentinels of polychlorinated dibenzo-p-dioxin and dibenzofuran-contaminated sediment: Environmental Toxicology and Chemistry, v. 42, no. 2, p. 414-420, https://doi.org/10.1002/etc.5531.","productDescription":"7 p.","startPage":"414","endPage":"420","ipdsId":"IP-142602","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":444611,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10084846","text":"External Repository"},{"id":412669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"St. Louis River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.11978762045874,\n 47.174003252461375\n ],\n [\n -93.11978762045874,\n 46.531629402852644\n ],\n [\n -91.74375002280269,\n 46.531629402852644\n ],\n [\n -91.74375002280269,\n 47.174003252461375\n ],\n [\n -93.11978762045874,\n 47.174003252461375\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Beaubien, Gale B.","contributorId":244596,"corporation":false,"usgs":false,"family":"Beaubien","given":"Gale","email":"","middleInitial":"B.","affiliations":[{"id":37193,"text":"Middle Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":863213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Dalon P.","contributorId":301960,"corporation":false,"usgs":false,"family":"White","given":"Dalon","email":"","middleInitial":"P.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":863214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205921,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":863215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Otter, Ryan R.","contributorId":205916,"corporation":false,"usgs":false,"family":"Otter","given":"Ryan","email":"","middleInitial":"R.","affiliations":[{"id":37193,"text":"Middle Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":863216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fritz, Ken M. 0000-0002-3831-2531","orcid":"https://orcid.org/0000-0002-3831-2531","contributorId":203959,"corporation":false,"usgs":false,"family":"Fritz","given":"Ken","email":"","middleInitial":"M.","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":863217,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crone, Brian","contributorId":301961,"corporation":false,"usgs":false,"family":"Crone","given":"Brian","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":863218,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mills, Marc A.","contributorId":141085,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":863219,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70243018,"text":"70243018 - 2023 - Mineralogical, magnetic and geochemical data constrain the pathways and extent of weathering of mineralized sedimentary rocks","interactions":[],"lastModifiedDate":"2023-04-26T12:05:16.59314","indexId":"70243018","displayToPublicDate":"2023-02-03T06:56:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Mineralogical, magnetic and geochemical data constrain the pathways and extent of weathering of mineralized sedimentary rocks","docAbstract":"The oxidative weathering of sulfidic rock can profoundly impact watersheds through the resulting export of acidity and metals. Weathering leaves a record of mineral transformation, particularly involving minor redox-sensitive phases, that can inform the development of conceptual and quantitative models. In sulfidic sedimentary rocks, however, variations in depositional history, diagenesis and mineralization can change or overprint the distributions of these trace minerals, complicating the interpretation of weathering signatures. Here we show that a combination of bulk mineralogical and geochemical techniques, micrometer-resolution X-ray fluorescence microprobe analysis and rock magnetic measurements, applied to drill core samples and single weathered fractures, can provide data that enable the development of a geochemically consistent weathering model.
This work focused on one watershed in the Upper Colorado River Basin sitting within the Mesaverde Formation, a sedimentary sandstone bedrock with disseminated sulfide minerals, including pyrite and sphalerite, that were introduced during diagenesis and subsequent magmatic-hydrothermal mineralization. Combined analytical methods revealed the pathways of iron (Fe), carbonate and silicate mineral weathering and showed how pH controls element retention or release from the actively weathering fractured sandstone. Drill core logging, whole rock X-ray diffraction, and geochemical measurements document the progression from unweathered rock at depth to weathered rock at the surface. X-ray microprobe analyses of a 1-cm size weathering profile along a fracture surface are consistent with the mobilization of Fe(II) and Fe(III) into acidic pore water from the dissolution of primary pyrite, Fe-sphalerite, chlorite, and minor siderite and pyrrhotite. These reactions are followed by the precipitation of secondary minerals such as of goethite and jarosite, a Fe-(oxyhydr)oxide and hydrous Fe(III) sulfate, respectively. Microscale analyses also helped explain the weathering reactions responsible for the mineralogical transformations observed in the top and most weathered section of the drill core. For example, dissolution of feldspar and chlorite neutralizes the acidity generated by Fe and sulfide mineral oxidation, oversaturating the solution in both Fe-oxides. The combination of X-ray spectromicroscopy and magnetic measurements show that the Fe(III) product is goethite, mainly present either as a coatings on fracture surfaces in the actively weathering region of the core or more homogeneously contained within the unconsolidated regolith at the top of the core. Low-temperature magnetic data reveal the presence of ferromagnetic Fe-sulfide pyrrhotite that, although it occurs at trace concentrations, could provide a qualitative proxy for unweathered sulfide minerals because the loss of pyrrhotite is associated with the onset of oxidative weathering. Pyrrhotite loss and goethite formation are detectable through room-temperature magnetic coercivity changes, suggesting that rock magnetic measurements can determine weathering intensity in rock samples at many scales. This work contributes evidence that the weathering of sulfidic sedimentary rocks follows a geochemical pattern in which the abundance of sulfide minerals controls the generation of acidity and dissolved elements, and the pH-dependent mobility of these elements controls their export to the ground- and surface-water.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2022.11.005","usgsCitation":"Carrero, S., Slotznick, S.P., Fakra, S.C., Sitar, M.C., Bone, S.E., Mauk, J.L., Manning, A.H., Swanson-Hysell, N., Williams, K.H., Banfield, J.F., and Gilbert, B., 2023, Mineralogical, magnetic and geochemical data constrain the pathways and extent of weathering of mineralized sedimentary rocks: Geochimica et Cosmochimica Acta, v. 343, p. 180-195, https://doi.org/10.1016/j.gca.2022.11.005.","productDescription":"16 p.","startPage":"180","endPage":"195","ipdsId":"IP-144517","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":444613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/9rx7w6vm","text":"Publisher Index Page"},{"id":416368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.02298126226637,\n 54.47123140197621\n ],\n [\n -107.02298126226637,\n 53.04438952769195\n ],\n [\n -106.457428641961,\n 53.04438952769195\n ],\n [\n -106.457428641961,\n 54.47123140197621\n ],\n [\n -107.02298126226637,\n 54.47123140197621\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.17636327510458,\n 38.98415958443957\n ],\n [\n -107.17636327510458,\n 38.76066749873635\n ],\n [\n -106.78664053376538,\n 38.76066749873635\n ],\n [\n -106.78664053376538,\n 38.98415958443957\n ],\n [\n -107.17636327510458,\n 38.98415958443957\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"343","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carrero, Sergio","contributorId":304474,"corporation":false,"usgs":false,"family":"Carrero","given":"Sergio","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":870596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slotznick, Sarah P.","contributorId":298122,"corporation":false,"usgs":false,"family":"Slotznick","given":"Sarah","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":870597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fakra, Sirine C.","contributorId":304475,"corporation":false,"usgs":false,"family":"Fakra","given":"Sirine","email":"","middleInitial":"C.","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":870598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sitar, M. Cole","contributorId":304476,"corporation":false,"usgs":false,"family":"Sitar","given":"M.","email":"","middleInitial":"Cole","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":870599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bone, Sharon E.","contributorId":304477,"corporation":false,"usgs":false,"family":"Bone","given":"Sharon","email":"","middleInitial":"E.","affiliations":[{"id":36408,"text":"SLAC National Accelerator Laboratory","active":true,"usgs":false}],"preferred":false,"id":870600,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":870601,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":870602,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swanson-Hysell, Nicholas L.","contributorId":304479,"corporation":false,"usgs":false,"family":"Swanson-Hysell","given":"Nicholas L.","affiliations":[],"preferred":false,"id":870606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Kenneth H.","contributorId":268895,"corporation":false,"usgs":false,"family":"Williams","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":870607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Banfield, Jillian F.","contributorId":152634,"corporation":false,"usgs":false,"family":"Banfield","given":"Jillian","email":"","middleInitial":"F.","affiliations":[{"id":18952,"text":"Department of Earth and Planetary Science, University of California Berkeley, CA 94720, USA","active":true,"usgs":false}],"preferred":false,"id":870608,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gilbert, Benjamin","contributorId":304478,"corporation":false,"usgs":false,"family":"Gilbert","given":"Benjamin","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":870603,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70240928,"text":"70240928 - 2023 - A Bayesian multi-stage modelling framework to evaluate impacts of energy development on wildlife populations: An application to Greater Sage-Grouse (Centrocercus urophasianus)","interactions":[],"lastModifiedDate":"2023-03-01T12:44:09.159474","indexId":"70240928","displayToPublicDate":"2023-02-03T06:41:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7479,"text":"MethodsX","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian multi-stage modelling framework to evaluate impacts of energy development on wildlife populations: An application to Greater Sage-Grouse (Centrocercus urophasianus)","docAbstract":"Increased demand for domestic production of renewable energy has led to expansion of energy infrastructure across western North America. Much of the western U.S. comprises remote landscapes that are home to a variety of vegetation communities and wildlife species, including the imperiled sagebrush ecosystem and indicator species such as greater sage-grouse (Centrocercus urophasianus). Geothermal sources in particular have potential for continued development across the western U.S. but impacts to greater sage-grouse and other species are unknown. To address this information gap, we describe a novel two-pronged methodology that analyzes impacts of geothermal energy production on pattern and process of greater sage-grouse populations using (a) before-after control-impact (BACI) measures of population growth and lek absence rates and (b) concurrent-to-operation evaluations of demographic rates. Growth and absence rate analyses utilized 14 years of lek survey data collected prior (2005–2011) and concurrent (2012–2018) to geothermal operations at two sites in Nevada, USA. Demographic analyses utilized relocation data, restricted inference to concurrent years, and incorporated 17 additional control sites. Demographic results were applied to >100 potential geothermal sites distributed across the study region to generate spatially explicit predictions of unrealized population-level impacts.
Hydrologic monitoring began on two headwater streams (<1 km2) on the University of Kentucky's Robinson Forest in 1971. We evaluated stream-water (1974–2013) and bulk-deposition (wet + dust) (1984–2013) chemistry in the context of regional wet-deposition patterns that showed decreases in both sulfate and nitrate concentrations as well as proximal surface-mine expansion. Decadal time steps (1974–83, 1984–93, 1994–2003, 2004–2013) were used to quantify change. Comparison of the first two decades showed similarly decreased sulfate (minimum flow-adjusted annual-mean concentration of ≈13.5 mg/L in 1982 to 8.8 mg/L in 1992) and increased pH (6.6–6.8) in both streams, reflecting contemporaneous changes in both bulk and wet deposition. In contrast, concentrations of nitrate (0.14 to >0.25 mg/L) and base cations increased between these two decades, coinciding with expansion of surface mining between 1985 and 1995. In 2004, stream-water pH (6.7 in 2004), sulfate (9.2 mg/L), and nitrate (>0.11 mg/L) were similar to 1982, despite wet-deposition concentrations being lower. Base-cation concentrations were higher in the stream adjacent to ongoing surface mining relative to the stream situated near the middle of the experimental forest. However, pH decreased to approximately 5.7 by 2013 for both streams, which, combined with a shift in dominant cations from calcium to magnesium and potassium, indicates that the soil-buffering capacity of this landscape has been exceeded. Ratios of bulk deposition and stream-water concentrations indicate enrichment of sulfate (1.7–25.2) and cations (0.5–64.8), but not nitrogen (0.1–5.6), indicating that the Forest is not nitrogen saturated and that ongoing changes in water-quality are sulfate driven. When concentrations were adjusted to account for changes in streamflow (climate) over the 4 decades, external influences (land management/regulation) explained most change. The amount and direction of change differed among constituents, both between consecutive decades and between the first and last decades, reflecting the influence of localized surface mining even as regional wet deposition continued to improve due to the Clean Air Act. The implication is that localized stressors have the potential to out-pace the benefits of national environmental policies for communities that depend on local water-resources in similar environments.
Declining body size is believed to be a universal response to climate warming and has been documented in numerous studies of marine and anadromous fishes. The Salmonidae are a family of coldwater fishes considered to be among the most sensitive species to climate warming; however, whether the shrinking body size response holds true for freshwater salmonids has yet to be examined at a broad spatial scale. We compiled observations of individual fish lengths from long-term surveys across the Northern Hemisphere for 12 species of freshwater salmonids and used linear mixed models to test for spatial and temporal trends in body size (fish length) spanning recent decades. Contrary to expectations, we found a significant increase in length overall but with high variability in trends among populations and species. More than two-thirds of the populations we examined increased in length over time. Secondary regressions revealed larger-bodied populations are experiencing greater increases in length than smaller-bodied populations. Mean water temperature was weakly predictive of changes in body length but overall minimal influences of environmental variables suggest that it is difficult to predict an organism's response to changing temperatures by solely looking at climatic factors. Our results suggest that declining body size is not universal, and the response of fishes to climate change may be largely influenced by local factors. It is important to know that we cannot assume the effects of climate change are predictable and negative at a large spatial scale.
A submerged, low-relief nearshore berm was constructed in the Pacific Ocean near the mouth of the Columbia River, USA, using 216,000 m3 of sediment dredged from the adjacent navigation channel. The material dredged from the navigation channel was placed on the northern flank of the ebb-tidal delta in water depths between 12 and 15 m and created a distinct feature that could be tracked over time. Field measurements and numerical modeling were used to evaluate the transport pathways, time scales, and physical processes responsible for dispersal of the berm and evaluate the suitability of the location for operational placement of dredged material to enhance the sediment supply to eroding beaches onshore of the placement site. Repeated multibeam bathymetric surveys characterized the initial berm morphology and dispersion of the berm between September 22, 2020, and March 10, 2021. During this time, the volume of sediment within the berm decreased by about 40%to 127,000 m3, the maximum height decreased by almost 60%, and the center of the deposit shifted onshore over 200 m. Observations of berm morphology were compared with predictions from a three-dimensional hydrodynamic and sediment transport model application to refine poorly constrained model input parameters including sediment transport coefficients, bed schematization, and grain size. The calibrated sediment transport model was used to predict the amount, timing, and direction of transport outside of the observed survey area. Model simulations predicted that tidal currents were weak in the vicinity of the berm and wave processes including enhanced bottom stresses and asymmetric bottom orbital velocities resulted in dominant onshore movement of sediment from the berm toward the coastline. Roughly 50% of the berm volume was predicted to disperse away from the initial placement site during the 169 day hindcast. Between 9 and 17% of the initial volume of the berm was predicted to accumulate along the shoreface of a shoreline reach experiencing chronic erosion directly onshore of the placement site. Scenarios exploring alternate placement locations suggested that the berm was relatively effective in enhancing the sediment supply along the eroding coastline north of the inlet. The transferable monitoring and modeling framework developed in this study can be used to inform implementation of strategic nearshore placements and regional sediment management in complex, high-energy coastal environments elsewhere.
The 11 October 1918 devastating tsunami in northwest Puerto Rico had been used as an example for earthquake‐induced landslide tsunami hazard. Three pieces of evidence pointed to a landslide as the origin of the tsunami: the discovery of a large submarine landslide scar from bathymetry data collected by shipboard high‐resolution multibeam sonar, reported breaks of submarine cable within the scar, and the fit of tsunami models to flooding observations. Newly processed seafloor imagery collected by remotely operated vehicle (ROV) show, however, pervasive Fe–Mn crust (patina) on the landslide walls and floor, indicating that the landslide scar is at least several hundred years old.
Water samples were collected from July through December 2016 from 9 production wells and 13 domestic wells in the Mohawk River Basin, and from 17 production wells and 17 domestic wells in the western New York River Basins. The samples were collected and processed by using standard U.S. Geological Survey methods and were analyzed for 320 physicochemical properties and constituents, including dissolved gases, major ions, nutrients, trace elements, pesticides, volatile organic compounds, radionuclides, and indicator bacteria, to characterize groundwater quality in the basins. Analytical results are provided in the companion U.S. Geological Survey data release titled “Groundwater Quality Data From the Mohawk and Western New York River Basins, New York, 2016.”
The Mohawk River Basin study area covers 3,500 square miles in New York. Of the 22 wells sampled in the Mohawk River Basin, 8 are completed in sand and gravel, and 14 are completed in bedrock aquifers. Most constituents in the samples from the Mohawk River Basin were present in concentrations below the maximum contaminant levels used in public supply drinking-water regulations by the New York State Department of Health and the U.S. Environmental Protection Agency. Values for some of the properties and concentrations of some constituents—pH, color, iron, manganese, aluminum, sodium, chloride, dissolved solids, radon-222, and heterotrophic plate count—sometimes equaled or exceeded primary, secondary, or proposed drinking-water standards.
The western New York River Basins study area covers 5,340 square miles in western New York and includes parts of the Lake Erie and Niagara River Basins, the western Lake Ontario Basin (between the Niagara River and Genesee River Basins), and the Allegheny River Basin. Of the 34 wells sampled in the western New York River Basins, 16 are completed in sand and gravel, and 18 are completed in bedrock aquifers. Most constituents in the samples from the western New York River Basins were present in concentrations below the maximum contaminant levels used in public supply drinking-water regulations by the New York State Department of Health and the U.S. Environmental Protection Agency. Values for some of the properties and concentrations of some constituents—color, chloride, sodium, dissolved solids, iron, manganese, aluminum, arsenic, barium, radon-222, methane, total coliform bacteria, fecal coliform bacteria, and Escherichia coli bacteria—sometimes equaled or exceeded primary, secondary, or proposed drinking-water standards.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221021","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Gaige, D.L., Scott, T.-M., Reddy, J.E., and Keefe, M.R., 2023, Groundwater quality in the Mohawk and western New York River Basins, New York, 2016: U.S. Geological Survey Open-File Report 2022–1021, 38 p., https://doi.org/10.3133/ofr20221021.","productDescription":"Report: viii, 38 p.; Data Release","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-115618","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":412503,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YNH96T","text":"USGS data release","linkHelpText":"Groundwater quality data from the Mohawk and western New York River Basins, New York, 2016"},{"id":412502,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1021/images/"},{"id":412500,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20221021/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2022-1021"},{"id":412499,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1021/ofr20221021.pdf","text":"Report","size":"19.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1021"},{"id":412498,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1021/coverthb.jpg"},{"id":412501,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1021/ofr20221021.XML"},{"id":499717,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114305.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Mohawk and New York River basins","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.84977657608984,\n 43.556764188166994\n ],\n [\n -75.84977657608984,\n 41.81434325258104\n ],\n [\n -73.94567088326258,\n 41.81434325258104\n ],\n [\n -73.94567088326258,\n 43.556764188166994\n ],\n [\n -75.84977657608984,\n 43.556764188166994\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Merapi volcano: Geology, eruptive activity, and monitoring of a high-risk volcano","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Nature","doi":"10.1007/978-3-031-15040-1","usgsCitation":"Pallister, J.S., and Lowenstern, J.B., 2023, Opening letter: The long shadow of Merapi volcano, chap. of Merapi volcano: Geology, eruptive activity, and monitoring of a high-risk volcano, p. v-ix, https://doi.org/10.1007/978-3-031-15040-1.","productDescription":"5 p.","startPage":"v","endPage":"ix","ipdsId":"IP-137351","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-031-15040-1","text":"Publisher Index Page"},{"id":418896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Merapi volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 110.49013973347854,\n -7.508590054724806\n ],\n [\n 110.39481028972062,\n -7.508590054724806\n ],\n [\n 110.39481028972062,\n -7.593270916830392\n ],\n [\n 110.49013973347854,\n -7.593270916830392\n ],\n [\n 110.49013973347854,\n -7.508590054724806\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Gertisser, Ralf","contributorId":316580,"corporation":false,"usgs":false,"family":"Gertisser","given":"Ralf","email":"","affiliations":[],"preferred":false,"id":877789,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Troll, Valentin R.","contributorId":300369,"corporation":false,"usgs":false,"family":"Troll","given":"Valentin","email":"","middleInitial":"R.","affiliations":[{"id":37671,"text":"Uppsala University","active":true,"usgs":false}],"preferred":false,"id":877790,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Nandaka, I Gusti Made Agung","contributorId":194992,"corporation":false,"usgs":false,"family":"Nandaka","given":"I","email":"","middleInitial":"Gusti Made Agung","affiliations":[],"preferred":false,"id":877791,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Ratdomopurbo, Antonius","contributorId":22523,"corporation":false,"usgs":true,"family":"Ratdomopurbo","given":"Antonius","email":"","affiliations":[],"preferred":false,"id":877792,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":877482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":877483,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70241047,"text":"70241047 - 2023 - Mass mortality of collector urchins Tripneustes gratilla in Hawai`i","interactions":[],"lastModifiedDate":"2023-03-08T13:01:51.318233","indexId":"70241047","displayToPublicDate":"2023-02-02T06:58:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Mass mortality of collector urchins Tripneustes gratilla in Hawai`i","docAbstract":"As grazers, sea urchins are keystone species in tropical marine ecosystems, and their loss can have important ecological ramifications. Die-offs of urchins are frequently described, but their causes are often unclear, in part because systematic examinations of animal tissues at gross and microscopic level are not done. In some areas, urchins are being employed to control invasive marine algae. Here, we describe the pathology of a mortality event in Tripneustes gratilla in Hawai`i where urchins were translocated to control invasive algae. Although we did not determine the cause of the mortality event, our investigation indicates that animals died from inflammation of the test and epidermal ulceration, followed by inability to maintain coelomic fluid volume, colonization of coelomic fluid by opportunists (diatom, algae), and inappetence. Parasites, bacteria, fungi, and viruses were not evident as a primary cause of death. Pathology was suggestive of a toxin or other environmental cause such as lack of food, possibilities that could be pursued in future investigations. These findings highlight the need for caution and additional tools to better assess health when translocating marine invertebrates to ensure maximal biosecurity.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/dao03716","usgsCitation":"Work, T.M., Dagenais, J., Rameyer, R., Breeden, R., and Weatherby, T., 2023, Mass mortality of collector urchins Tripneustes gratilla in Hawai`i: Diseases of Aquatic Organisms, v. 153, p. 17-29, https://doi.org/10.3354/dao03716.","productDescription":"12 p.","startPage":"17","endPage":"29","ipdsId":"IP-147279","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":444624,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao03716","text":"Publisher Index Page"},{"id":435472,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92DHFO5","text":"USGS data release","linkHelpText":"Mass mortality of collector urchins (Tripneustes gratilla) in Hawai`i"},{"id":413847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kanehoe Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.8804187871006,\n 21.541037666001543\n ],\n [\n -157.8804187871006,\n 21.438855288026048\n ],\n [\n -157.7980563038859,\n 21.438855288026048\n ],\n [\n -157.7980563038859,\n 21.541037666001543\n ],\n [\n -157.8804187871006,\n 21.541037666001543\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"153","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":865848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dagenais, Julie","contributorId":245385,"corporation":false,"usgs":false,"family":"Dagenais","given":"Julie","affiliations":[{"id":13108,"text":"IAP World Services","active":true,"usgs":false}],"preferred":false,"id":865849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rameyer, Robert 0000-0002-2145-1746 bob_rameyer@usgs.gov","orcid":"https://orcid.org/0000-0002-2145-1746","contributorId":150128,"corporation":false,"usgs":true,"family":"Rameyer","given":"Robert","email":"bob_rameyer@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":865850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breeden, Renee 0000-0001-5910-3627 rbreeden@usgs.gov","orcid":"https://orcid.org/0000-0001-5910-3627","contributorId":149679,"corporation":false,"usgs":true,"family":"Breeden","given":"Renee","email":"rbreeden@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":865851,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weatherby, Tina","contributorId":193516,"corporation":false,"usgs":false,"family":"Weatherby","given":"Tina","affiliations":[],"preferred":false,"id":865852,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243012,"text":"70243012 - 2023 - Field evaluation of semi-automated moisture estimation from geophysics using machine learning","interactions":[],"lastModifiedDate":"2023-04-26T11:53:56.65994","indexId":"70243012","displayToPublicDate":"2023-02-02T06:49:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Field evaluation of semi-automated moisture estimation from geophysics using machine learning","docAbstract":"Geophysical methods can provide three-dimensional (3D), spatially continuous estimates of soil moisture. However, point-to-point comparisons of geophysical properties to measure soil moisture data are frequently unsatisfactory, resulting in geophysics being used for qualitative purposes only. This is because (1) geophysics requires models that relate geophysical signals to soil moisture, (2) geophysical methods have potential uncertainties resulting from smoothing and artifacts introduced from processing and inversion, and (3) results from multiple geophysical methods are not easily combined within a single soil moisture estimation framework. To investigate these potential limitations, an irrigation experiment was performed wherein soil moisture was monitored through time, and several surface geophysical datasets indirectly sensitive to soil moisture were collected before and after irrigation: ground penetrating radar, electrical resistivity tomography (ERT), and frequency domain electromagnetics (FDEM). Data were exported in both raw and processed form, and then snapped to a common 3D grid to facilitate moisture prediction by standard calibration techniques, multivariate regression, and machine learning. A combination of inverted ERT data, raw FDEM, and inverted FDEM data was most informative for predicting soil moisture using a random regression forest model (one-thousand 60/40 training/test cross-validation folds produced root mean squared errors ranging from 0.025–0.046 cm3/cm3). This cross-validated model was further supported by a separate evaluation using a test set from a physically separate portion of the study area. Machine learning was conducive to a semi-automated model-selection process that could be used for other sites and datasets to locally improve accuracy.
Pipestone National Monument is a 301-acre site sacred to many Native American Tribes, providing cultural exhibits and walking trails to Pipestone Creek, Winnewissa Falls, and historical pipestone quarries for numerous visitors each year. However, the Minnesota Pollution Control Agency has determined turbidity and fecal coliform bacteria occur in Pipestone Creek in high enough numbers to be a potential health hazard. Concerns also were raised about exposure risk from waterfall mist to visitors and staff. The U.S. Geological Survey and the National Park Service collaborated on a study to collect 21 water-quality samples from 8 creek sites and 3 quarries in 2018 and analyzed them for over 250 water-quality parameters and contaminants. Additional samples were collected in August 2019 to assess the waterfall mists from Winnewissa Falls. Nutrient concentrations in the creek and quarries were elevated in 2018, indicating they are affected by agricultural inputs. All sample concentrations for nitrate and total nitrogen in Pipestone Creek exceeded Minnesota standards and U.S. Environmental Protection Agency nutrient criteria. Minnesota standards and U.S. Environmental Protection Agency nutrient criteria for total phosphorus also were exceeded in some of the quarry samples. Twenty of 210 micropollutants had measurable concentrations: 13 pesticides, 5 pharmaceuticals, and 2 other types of micropollutants. Atrazine, deethylatrazine, and metolachlor ethanesulfonic acid were detected in all 21 samples collected during the study. The five pharmaceuticals detected were acetaminophen, gabapentin, gemfibrozil, metformin, and oxycodone. Gabapentin (10 of 21 samples) and metformin (8 of 21 samples) were the most commonly detected pharmaceuticals. None of the detected micropollutant concentrations exceeded any Minnesota standards or U.S. Environmental Protection Agency aquatic life benchmarks, except the acute toxicity benchmark for nonvascular plants for atrazine. Two cyanotoxins, anatoxin-a and microcystin, were detected, but concentrations were below U.S. Environmental Protection Agency guidelines for swimming or recreation. Notably, total coliform, fecal coliform, and Escherichia coli were detected in all creek samples, and concentrations generally decreased downstream, suggesting contamination potentially occurred upstream from the monument. Mycobacterium avium ssp. paratuberculosis was not detected in any creek sediment samples but was detected in three water samples from the creek. Three organisms were detected in the 2019 water and mist sampling from Winnewissa Falls. Two of these organisms can cause illness in humans (Cryptosporidium and Legionella), and a third (ruminant Bacteroides) is an indicator of manure contamination. Despite few samples, pathogen-positive water samples and air sampling demonstrated the feasibility and utility of the mist sampling approach outlined in this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225122","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Krall, A.L., King, K.A., Christensen, V.G., Stokdyk, J.P., Scudder Eikenberry, B.C., and Stevenson, S.A., 2023, Creek and quarry water quality at Pipestone National Monument and pilot study of pathogen detection methods in waterfall mist at Winnewissa Falls, Pipestone, Minnesota, 2018–19: U.S. Geological Survey Scientific Investigations Report 2022–5122, 80 p., https://doi.org/10.3133/sir20225122.","productDescription":"Report: ix, 80 p.; Data Release; Dataset","numberOfPages":"94","onlineOnly":"Y","ipdsId":"IP-117666","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500465,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114302.htm","linkFileType":{"id":5,"text":"html"}},{"id":412366,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5122/sir20225122.XML","text":"Report","linkFileType":{"id":8,"text":"xml"}},{"id":412365,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5122/sir20225122.pdf","text":"Report","size":"6.37 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022–5122"},{"id":412364,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5122/coverthb.jpg"},{"id":412544,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225122/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":412369,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":412368,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BB1EUV","text":"USGS data release","linkHelpText":"Algal toxins and Mycobacterium avium ssp. paratuberculosis measured in surface-water, quarry-water, and sediment samples collected at Pipestone National Monument, Pipestone, Minnesota, 2018–19"},{"id":412367,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5122/images"}],"country":"United States","state":"Minnesota","city":"Pipestone","otherGeospatial":"Winnewissa Falls","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.34104470371224,\n 44.02847804709168\n ],\n [\n -96.34104470371224,\n 43.992813051913146\n ],\n [\n -96.29197039079662,\n 43.992813051913146\n ],\n [\n -96.29197039079662,\n 44.02847804709168\n ],\n [\n -96.34104470371224,\n 44.02847804709168\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
The extrusion rate of a lava dome is a critical parameter for monitoring silicic eruptions and forecasting their development. Satellite radar backscatter can provide unique information about dome growth during a volcanic eruption when other datasets (e.g., optical, thermal, ground-based measurements, etc.) may be limited. Here, we present an approach for estimating volcanic topography from individual backscatter images. Using data from multiple SAR sensors we apply the method to the dome growth during the 2021 eruption at La Soufrière, St. Vincent. We measure an average extrusion rate of 1.8 m3s−1 between December 2020 and March 2021 before an acceleration in extrusion rate to 17.5 m3s−1 in the 2 days prior to the explosive eruption on 9 April 2021. We estimate a final dome volume of 19.4 million m3, extrapolated from the SAR sensors, with approximately 15% of the total extruded volume emplaced in the last 2 days. A possible explanation for the acceleration in extrusion rate could be the combined emptying of a conduit and reservoir of older material before the ascent of gas-rich magma in April 2021.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2022.117980","usgsCitation":"Dualeh, E., Ebmeier, S., Wright, T.J., Poland, M., Grandin, R., Stinton, A., Camejo-Harry, M., Esse, B., and Burton, M., 2023, Rapid pre-explosion increase in dome extrusion rate at La Soufrière, St. Vincent quantified from synthetic aperture radar backscatter: Earth and Planetary Science Letters, v. 603, 117980, 11 p., https://doi.org/10.1016/j.epsl.2022.117980.","productDescription":"117980, 11 p.","ipdsId":"IP-145595","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":444630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2022.117980","text":"Publisher Index Page"},{"id":418221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saint Vincent and the Grenadines","otherGeospatial":"La Soufrière, Saint Vincent","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -61.18433460946167,\n 13.317636486394136\n ],\n [\n -61.1758284849421,\n 13.31530183007591\n ],\n [\n -61.16590467300145,\n 13.318909925803595\n ],\n [\n -61.1526002218297,\n 13.33217452112659\n ],\n [\n -61.15270927470786,\n 13.339814597776197\n ],\n [\n -61.152927380465016,\n 13.350531520386895\n ],\n [\n -61.16056108195765,\n 13.355518441018035\n ],\n [\n -61.171902581317624,\n 13.359868649329982\n ],\n [\n -61.18357123931291,\n 13.357322195446258\n ],\n [\n -61.19349505125268,\n 13.348197181716188\n ],\n [\n -61.197093796241845,\n 13.333447884004542\n ],\n [\n -61.1966575847284,\n 13.32877885399833\n ],\n [\n -61.19316789261735,\n 13.321562903052666\n ],\n [\n -61.18433460946167,\n 13.317636486394136\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"603","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dualeh, Edna","contributorId":310448,"corporation":false,"usgs":false,"family":"Dualeh","given":"Edna","email":"","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":875709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebmeier, Susanna","contributorId":174225,"corporation":false,"usgs":false,"family":"Ebmeier","given":"Susanna","affiliations":[{"id":7172,"text":"University of Bristol, U.K. and University of Oregon, Eugene","active":true,"usgs":false}],"preferred":false,"id":875710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Tim J.","contributorId":244552,"corporation":false,"usgs":false,"family":"Wright","given":"Tim","email":"","middleInitial":"J.","affiliations":[{"id":48936,"text":"COMET, School of Earth and Environment, University of Leeds, UK","active":true,"usgs":false}],"preferred":false,"id":875711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":875712,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grandin, Raphael","contributorId":310449,"corporation":false,"usgs":false,"family":"Grandin","given":"Raphael","email":"","affiliations":[{"id":47633,"text":"IPGP","active":true,"usgs":false}],"preferred":false,"id":875713,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stinton, Adam","contributorId":310451,"corporation":false,"usgs":false,"family":"Stinton","given":"Adam","email":"","affiliations":[{"id":67195,"text":"University of the West Indies","active":true,"usgs":false}],"preferred":false,"id":875714,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Camejo-Harry, M.","contributorId":310452,"corporation":false,"usgs":false,"family":"Camejo-Harry","given":"M.","email":"","affiliations":[{"id":67195,"text":"University of the West Indies","active":true,"usgs":false}],"preferred":false,"id":875715,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Esse, B.","contributorId":310460,"corporation":false,"usgs":false,"family":"Esse","given":"B.","email":"","affiliations":[],"preferred":false,"id":875731,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Burton, Mike","contributorId":255650,"corporation":false,"usgs":false,"family":"Burton","given":"Mike","email":"","affiliations":[{"id":37573,"text":"University of Manchester, UK","active":true,"usgs":false}],"preferred":false,"id":875717,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70239888,"text":"70239888 - 2023 - Characterizing historic streamflow to support drought planning in the upper Missouri River basin","interactions":[],"lastModifiedDate":"2026-03-18T16:13:50.675788","indexId":"70239888","displayToPublicDate":"2023-02-01T11:07:46","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Characterizing historic streamflow to support drought planning in the upper Missouri River basin","docAbstract":"This project combined tree-ring based paleo and modern climate and hydrologic research aimed at understanding the primary influences on drought risk and water reliability in basins critical for western U.S. water resources. New paleohydrologic datasets and analyses were developed and applied to contextualize future streamflow projections and address specific water management questions. These questions centered around optimizing future water management protocols for numerous objectives ranging from improving agricultural water allocation during drought while maintaining instream flows for aquatic ecosystem health, to the testing of operations across large river systems with complex infrastructure critical for downstream flood control, navigation, and hydropower generation. USGS scientists worked closely with the Bureau of Reclamation to estimate both past and future drought risk at key management locations throughout the Missouri basin, the Milk and St. Mary River system, and across the major managed river systems in the western United States. These efforts provided a roadmap for future water management strategies under changing climate and water supply conditions, which are detailed in Reclamation’s newly completed Missouri Headwaters Basin Study, the 2021 SECURE Water Act Report, and the forthcoming update of the St. Mary and Milk Rivers Basin Study. Among the major scientific findings to emerge was a new understanding of the long-term (1200-year) history of drought variability for the Missouri River, which highlighted the unusual severity of the early 2000s drought across the Rocky Mountain headwaters and adjacent high plains. By combining the extended drought record with extensive modern and paleoclimate records, we document how warming exacerbates severities of naturally occurring droughts, with recent decades defined by “hot” droughts and the 2000s (2001-2010) drought ranking as the most severe event in 1200 years. 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Found where the land meets the sea, salt marshes are naturally dynamic features that change with rising seas, waves, ice, and storms. In the past, humans purposely altered salt marshes by filling them to create buildable land or digging drainage ditches. These major alterations harmed marsh structure and health. In recent decades, however, marshes are degrading because of more diffuse and complex pressures such as nutrient pollution, sea level rise, major storms, and crab overgrazing. As a result, at many places along the East Coast, marshes have crumbling banks and large areas where the plants have died, leaving behind mudflats. The Buzzards Bay Coalition and the Buzzards Bay National Estuary Program began field monitoring of salt marshes around Buzzards Bay in 2019 to document changes (map below shows sites). We partnered with the U.S. Geological Survey and the Woodwell Climate Research Center to use aerial tools to investigate how different characteristics of the long-term marsh sites and their watersheds affect the marsh’s current health and likely future. This report brings together the results of on the ground monitoring with data from aerial imagery to look at marsh status at 12 long-term monitoring sites based on existing stressors, current marsh conditions, and potential for adaptation.
","language":"English","publisher":"Buzzards Bay Coalition","usgsCitation":"Jakuba, R.W., Besterman, A., Hoffart, L., Costa, J.E., Ganju, N., and Deegan, L., 2023, Buzzards Bay salt marshes: Vulnerability and adaptation potential, 32 p.","productDescription":"32 p.","ipdsId":"IP-136385","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":416866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416865,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.savebuzzardsbay.org/about-us/publications/special-reports/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","otherGeospatial":"Buzzards Bay salt marshes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.94176987700817,\n 41.41975469591827\n ],\n [\n -70.85599792880063,\n 41.42970016011691\n ],\n [\n -70.81532257191841,\n 41.450912058997574\n ],\n [\n -70.76934173370435,\n 41.472117024369965\n ],\n [\n -70.67738005727534,\n 41.509209028100685\n ],\n [\n -70.64554716928006,\n 41.53502841303356\n ],\n [\n -70.60045057795479,\n 41.73329455348431\n ],\n [\n -70.60045103343215,\n 41.77287411335024\n ],\n [\n -70.64466337786867,\n 41.76891720855332\n ],\n [\n -70.73043532607704,\n 41.76034307750683\n ],\n [\n -70.76757369540417,\n 41.73395394949611\n ],\n [\n -70.78525863317893,\n 41.66463088626202\n ],\n [\n -70.83742919961446,\n 41.66330972174504\n ],\n [\n -70.92231690093321,\n 41.6672731339705\n ],\n [\n -70.97448746736875,\n 41.6051516478891\n ],\n [\n -71.02931077447062,\n 41.53238027247775\n ],\n [\n -71.03638474958088,\n 41.50987071949933\n ],\n [\n -70.94176987700817,\n 41.41975469591827\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jakuba, R. 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At the time of writing this report, Hilcorp Alaska, LLC, has received BOEM approval for an oil and gas Development and Production Plan (DPP) that includes the construction of the Liberty Drilling Island (LDI) in Foggy Island Bay, situated within Stefansson Sound circa 30 km east of Prudhoe Bay (Figure 1.1). The aim of this study is to investigate how longer periods of open water (defined as < 15% ice cover), decreased sea ice cover, and changes in ocean and atmospheric conditions might affect wave and storm surge conditions, sediment transport patterns, and coastal erosion rates within Foggy Island Bay as well as the modeled influence of the offshore artificial island on sediment transport patterns.
","language":"English","publisher":"Bureau of Ocean and Energy Management (BOEM)","usgsCitation":"Kasper, J., Erikson, L.H., Ravens, T.M., Bieniek, P., Engelstad, A.C., Nederhoff, C.M., Duvoy, P.X., Fisher, S., Petrone Brown, E., Man, Y., and Reguero, B., 2023, Central Beaufort Sea Wave and Hydrodynamic Modeling Study--Report 1: Field measurements and model development: OCS Study BOEM 2022-078, 237 p.","productDescription":"237 p.","ipdsId":"IP-147574","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491738,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":491592,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://espis.boem.gov/final%20reports/BOEM_2022-078.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"Alaska","otherGeospatial":"Foggy Island Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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right-of-ways","interactions":[],"lastModifiedDate":"2023-10-10T15:09:22.549466","indexId":"70249409","displayToPublicDate":"2023-02-01T10:03:31","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":17032,"text":"Research Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"RP 284","title":"Integration of weed-suppressive bacteria with herbicides to reduce exotic annual grasses and wildfire problems on ITD right-of-ways","docAbstract":"Invasion by exotic-annual grasses such as cheatgrass is impacting semiarid rangelands and especially transportation corridors, where it causes increased wildfire and many other environmental issues. Methods of reducing exotic annual grasses and restoring native perennials are needed, particularly testing of their intended target or unintended, non-target effects. In a series of experiments arrayed across different site and plant-community conditions on Idaho Transportation Department right-of-ways, the effects of chemical or biological herbicides, site preparation and co-treatments such as raking, and/or seeding were evaluated over 3 years. Strains of the soil bacterium Pseudomonas fluorescens that are supposedly weed-suppressive were generally ineffective, and resulted in relatively weak effects at a small proportion of plots and only at one site, but also resulted in highly undesirable non-target effects at another site. The chemical herbicides imazapic and especially indaziflam (Rejuvra) tended to have more consistent and stronger effects, and indaziflam furthermore provided a longer period of control, although additional years of observation would be required to assess its endurance. Seeding effects were weak, and preparation of seed beds through raking was not effective. In conclusion, indaziflam appeared to be the most effective tool for reducing cheatgrass, but techniques for increasing perennials after its application are needed.
","language":"English","publisher":"Idaho Transportation Department","usgsCitation":"Lazarus, B., Germino, M., and Maxwell, T.M., 2023, Integration of weed-suppressive bacteria with herbicides to reduce exotic annual grasses and wildfire problems on ITD right-of-ways: Research Report RP 284, 73 p.","productDescription":"73 p.","ipdsId":"IP-147822","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":421822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":421697,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://rosap.ntl.bts.gov/view/dot/68705","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.02267100246189,\n 44.09979113305721\n ],\n [\n -117.02267100246189,\n 42.68151032608165\n ],\n [\n -114.47722042975057,\n 42.68151032608165\n ],\n [\n -114.47722042975057,\n 44.09979113305721\n ],\n [\n -117.02267100246189,\n 44.09979113305721\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lazarus, Brynne E. 0000-0002-6352-486X","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":242732,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":885518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":885519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maxwell, Toby M. 0000-0001-5171-0705","orcid":"https://orcid.org/0000-0001-5171-0705","contributorId":302845,"corporation":false,"usgs":false,"family":"Maxwell","given":"Toby","email":"","middleInitial":"M.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":885520,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70241046,"text":"70241046 - 2023 - Evaluation of Landsat image compositing algorithms","interactions":[],"lastModifiedDate":"2024-05-20T13:46:31.237219","indexId":"70241046","displayToPublicDate":"2023-02-01T09:18:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of Landsat image compositing algorithms","docAbstract":"We proposed a new image compositing algorithm (MAX-RNB) based on the maximum ratio of Near Infrared (NIR) to Blue band (RNB), and evaluated it together with nine other compositing algorithms: MAX-NDVI (maximum Normalized Difference Vegetation Index), MED-NIR (median NIR band), WELD (conterminous United States Web-Enabled Landsat Data), BAP (Best Available Pixel), PAC (Phenology Adaptive Composite), WPS (Weighted Parametric Scoring), MEDOID (medoid measurement), COSSIM (cosine similarity), and NLCD (National Land Cover Database). Each algorithm was applied to time series of Landsat observations collected within two separate years at six locations around the world, to produce monthly (July 1 ± 15 days), seasonal (July 1 ± 45 days), and annual (July 1 ± 180 days) composite images free of cloud, cloud shadow, and snow/ice. By comparing the composite images to reference Landsat images acquired in the growing season (closest to July 1 within ±15 days) for each year, we evaluated the performance of the algorithms in preserving the spectral and spatial fidelity (hereafter referred to as spectral and spatial evaluation, respectively), as well as land cover classification and land change detection (hereafter referred to as application evaluation). The results demonstrated that no single algorithm outperformed all other algorithms in all the evaluations, but that performance depended on compositing intervals and cloud cover. For monthly composites, the MAX-RNB algorithm generally produced the best results in the spectral and application evaluations. For seasonal composites, the NLCD algorithm produced the best results in the spectral and application evaluations. For annual composites, the PAC algorithm produced the best results in the spectral evaluation and change detection, whereas BAP produced the best results in land cover classification. The BAP algorithm also produced the best results in the spatial evaluation for all the compositing periods. This study provides a comprehensive guidance for selecting the most appropriate image compositing algorithm for different Landsat-based applications.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2022.113375","usgsCitation":"Qiu, S., Zhu, Z., Olofsson, P., Woodcock, C., and Jin, S., 2023, Evaluation of Landsat image compositing algorithms: Remote Sensing of Environment, v. 285, 113375, 23 p., https://doi.org/10.1016/j.rse.2022.113375.","productDescription":"113375, 23 p.","ipdsId":"IP-140731","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":444635,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2022.113375","text":"Publisher Index Page"},{"id":413857,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"285","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Qiu, Shi","contributorId":302924,"corporation":false,"usgs":false,"family":"Qiu","given":"Shi","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":865843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Zhe 0000-0001-8283-6407","orcid":"https://orcid.org/0000-0001-8283-6407","contributorId":190828,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[],"preferred":false,"id":865844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olofsson, Pontus","contributorId":131007,"corporation":false,"usgs":false,"family":"Olofsson","given":"Pontus","email":"","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":865845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodcock, Curtis","contributorId":166666,"corporation":false,"usgs":false,"family":"Woodcock","given":"Curtis","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":865846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jin, Suming 0000-0001-9919-8077 sjin@usgs.gov","orcid":"https://orcid.org/0000-0001-9919-8077","contributorId":4397,"corporation":false,"usgs":true,"family":"Jin","given":"Suming","email":"sjin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":865847,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70245098,"text":"70245098 - 2023 - Equilibrated gas and carbonate standard-derived dual (Δ47 and Δ48) clumped isotope values","interactions":[],"lastModifiedDate":"2023-06-15T13:49:07.668","indexId":"70245098","displayToPublicDate":"2023-02-01T08:43:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Equilibrated gas and carbonate standard-derived dual (Δ47 and Δ48) clumped isotope values","title":"Equilibrated gas and carbonate standard-derived dual (Δ47 and Δ48) clumped isotope values","docAbstract":"Carbonate clumped isotope geochemistry has primarily focused on mass spectrometric determination of m/z 47 CO2 for geothermometry, but theoretical calculations and recent experiments indicate paired analysis of the m/z 47 (13C18O16O) and m/z 48 (12C18O18O) isotopologues (referred to as Δ47 and Δ48) can be used to study non-equilibrium isotope fractionations and refine temperature estimates. We utilize 5,448 Δ47 and 3,400 Δ48 replicate measurements of carbonate samples and standards, and 183 Δ47 and 195 Δ48 replicate measurements of gas standards from 2015 to 2021 from a multi-year and multi-instrument data set to constrain Δ47 and Δ48 values for 27 samples and standards, including Devils Hole cave calcite, and study equilibrium Δ47-Δ48, Δ47-temperature, and Δ48-temperature relationships. We compare results to previously published findings and calculate equilibrium regressions based on data from multiple laboratories. We report acid digestion fractionation factors, Δ*63-47 and Δ*64-48, and account for their dependence on the initial clumped isotope values of the mineral.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GC010458","usgsCitation":"Lucarelli, J.K., Carroll, H.M., Ulrich, R.N., Elliott, B.M., Coplen, T.B., Eagle, R.A., and Tripati, A.K., 2023, Equilibrated gas and carbonate standard-derived dual (Δ47 and Δ48) clumped isotope values: Geochemistry, Geophysics, Geosystems, v. 24, no. 2, e2022GC010458, 21 p., https://doi.org/10.1029/2022GC010458.","productDescription":"e2022GC010458, 21 p.","ipdsId":"IP-133724","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":444637,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gc010458","text":"Publisher Index Page"},{"id":418127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lucarelli, Jamie K 0000-0002-9104-2518","orcid":"https://orcid.org/0000-0002-9104-2518","contributorId":310346,"corporation":false,"usgs":false,"family":"Lucarelli","given":"Jamie","email":"","middleInitial":"K","affiliations":[{"id":67149,"text":"Univ California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":875450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carroll, Hannah M. 0000-0003-3343-3358","orcid":"https://orcid.org/0000-0003-3343-3358","contributorId":310347,"corporation":false,"usgs":false,"family":"Carroll","given":"Hannah","email":"","middleInitial":"M.","affiliations":[{"id":67150,"text":"Univ. California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":875451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ulrich, Robert N.","contributorId":310413,"corporation":false,"usgs":false,"family":"Ulrich","given":"Robert","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":875552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Ben M.","contributorId":310348,"corporation":false,"usgs":false,"family":"Elliott","given":"Ben","email":"","middleInitial":"M.","affiliations":[{"id":67151,"text":"Univ. of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":875452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":875453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eagle, Robert A.","contributorId":190122,"corporation":false,"usgs":false,"family":"Eagle","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":875454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tripati, Aradhna K.","contributorId":190120,"corporation":false,"usgs":false,"family":"Tripati","given":"Aradhna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":875455,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70241111,"text":"70241111 - 2023 - Behavioral and reproductive effects of the lampricides TFM and TFM:1% Niclosamide on native freshwater mussels","interactions":[],"lastModifiedDate":"2023-03-10T14:33:23.409993","indexId":"70241111","displayToPublicDate":"2023-02-01T08:31:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral and reproductive effects of the lampricides TFM and TFM:1% Niclosamide on native freshwater mussels","docAbstract":"The lampricides TFM (3-trifluoromethyl-4′-nitrophenol) and Niclosamide (NIC, 2′, 5-dichloro-4′-nitrosalicylanilide) are used to control sea lamprey populations in the Great Lakes and associated tributaries. Niclosamide is often used as an additive to TFM to reduce the amount of TFM required to control sea lamprey. Concern is growing over the risk that lampricide treatments pose to native freshwater mussels residing in streams. Our objectives were to determine the acute toxicity of TFM and TFM:NIC to free glochidia (removed from the marsupial gills), compare the relative toxicity of TFM and TFM:NIC between free glochidia and brooded glochidia (within the marsupial gills), determine if glochidia age influences toxicity, and assess if exposure of gravid mussels to TFM and TFM:NIC alters behavior and reproduction. Three acute toxicity tests (2:TFM, 1:TFM : NIC) were conducted with glochidia and adults of the plain pocketbook mussel (Lampsilis cardium). In tests with glochidia, viability did not differ across TFM and TFM : NIC concentrations that encompassed typical stream treatments. Glochidia age influenced toxicity as glochidia obtained later in the brooding season were less viable than glochidia obtained earlier in the brooding season. Exposure of adults to elevated concentrations of lampricides often resulted in behavioral effects, but rarely affected reproductive endpoints. Because mussels are long-lived (30 to 100 y), even intermittent and short duration exposures may cumulatively affect mussels over their lifetime. The risks posed by lampricide treatments in the Great Lakes would be further informed by research on the sublethal effects of lampricides, particularly effects on non-target organisms such as mussels.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2022.11.007","usgsCitation":"Newton, T., Boogaard, M.A., Schloesser, N., Kirkeeng, C., Schueller, J., and Toribio, S.G., 2023, Behavioral and reproductive effects of the lampricides TFM and TFM:1% Niclosamide on native freshwater mussels: Journal of Great Lakes Research, v. 49, no. 1, p. 303-317, https://doi.org/10.1016/j.jglr.2022.11.007.","productDescription":"15 p.","startPage":"303","endPage":"317","ipdsId":"IP-140007","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":444639,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2022.11.007","text":"Publisher Index Page"},{"id":435474,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A12ZR4","text":"USGS data release","linkHelpText":"Behavioral and Reproductive Effects of the Lampricides TFM and TFM:1% Niclosamide on Native Freshwater Mussels - SPSS Code Release"},{"id":413949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newton, Teresa J. 0000-0001-9351-5852","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":78696,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schloesser, Nicholas 0000-0002-3815-5302","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":237025,"corporation":false,"usgs":true,"family":"Schloesser","given":"Nicholas","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirkeeng, Courtney A. 0000-0002-7141-1216","orcid":"https://orcid.org/0000-0002-7141-1216","contributorId":237026,"corporation":false,"usgs":true,"family":"Kirkeeng","given":"Courtney","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schueller, Justin R. 0000-0002-7102-3889","orcid":"https://orcid.org/0000-0002-7102-3889","contributorId":213527,"corporation":false,"usgs":true,"family":"Schueller","given":"Justin","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Toribio, Sherwin G.","contributorId":302983,"corporation":false,"usgs":false,"family":"Toribio","given":"Sherwin","email":"","middleInitial":"G.","affiliations":[{"id":47908,"text":"University of Wisconsin - La Crosse","active":true,"usgs":false}],"preferred":false,"id":866115,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70240636,"text":"70240636 - 2023 - Ecology and ecosystem impacts of submerged and floating aquatic vegetation in the Sacramento-San Joaquin Delta","interactions":[],"lastModifiedDate":"2023-02-10T13:13:30.325947","indexId":"70240636","displayToPublicDate":"2023-02-01T07:11:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Ecology and ecosystem impacts of submerged and floating aquatic vegetation in the Sacramento-San Joaquin Delta","docAbstract":"Substantial increases in non-native aquatic vegetation have occurred in the upper San Francisco Estuary over the last 2 decades, largely from the explosive growth of a few submerged and floating aquatic plant species. Some of these species act as ecosystem engineers by creating conditions that favor their further growth and expansion as well as by modifying habitat for other organisms. Over the last decade, numerous studies have investigated patterns of expansion and turn-over of aquatic vegetation species; effects of vegetation on ecosystem health, water quality, and habitat; and effects of particular species or communities on physical processes such as carbon and sediment dynamics. Taking a synthetic approach to evaluate what has been learned over the last few years has shed light on just how significant aquatic plant species and communities are to ecosystems in the Sacramento-San Joaquin Delta. Aquatic vegetation affects every aspect of the physical and biotic environment, acting as ecosystem engineers on the landscape. Furthermore, their effects are constantly changing across space and time, leaving many unanswered questions about the full effects of aquatic vegetation on Delta ecosystems and what future effects may result, as species shift in distribution and new species are introduced. Remaining knowledge gaps underlie our understanding of aquatic macrophyte effects on Delta ecosystems, including their roles and relationships with respect to nutrients and nutrient cycling, evapotranspiration and water budgets, carbon and sediment, and emerging effects on fish species and their habitats. This paper explores our current understanding of submerged and floating aquatic vegetation (SAV and FAV) ecology with respect to major aquatic plant communities, observed patterns of change, interactions between aquatic vegetation and the physical environment, and how these factors affect ecosystem services and disservices within the upper San Francisco Estuary.
","language":"English","publisher":"University of California","doi":"10.15447/sfews.2023v20iss4art3","usgsCitation":"Christman, M.A., Khanna, S., Drexler, J.Z., and Young, M.J., 2023, Ecology and ecosystem impacts of submerged and floating aquatic vegetation in the Sacramento-San Joaquin Delta: San Francisco Estuary and Watershed Science, v. 20, no. 4, 3, 32 p., https://doi.org/10.15447/sfews.2023v20iss4art3.","productDescription":"3, 32 p.","ipdsId":"IP-144768","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":444640,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2023v20iss4art3","text":"Publisher Index Page"},{"id":412940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.65414668802397,\n 38.53804340076624\n ],\n [\n -122.65414668802397,\n 37.37783082362128\n ],\n [\n -121.1606403257308,\n 37.37783082362128\n ],\n [\n -121.1606403257308,\n 38.53804340076624\n ],\n [\n -122.65414668802397,\n 38.53804340076624\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Christman, Mairgareth A.","contributorId":206436,"corporation":false,"usgs":false,"family":"Christman","given":"Mairgareth","email":"","middleInitial":"A.","affiliations":[{"id":37330,"text":"Delta Stewardship Council, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":864044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khanna, Shruti","contributorId":205167,"corporation":false,"usgs":false,"family":"Khanna","given":"Shruti","email":"","affiliations":[{"id":37041,"text":"Department of Land, Air, and Water Resources, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":864045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":864046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":864047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70243560,"text":"70243560 - 2023 - Change in climatically suitable breeding distributions reduces hybridization potential between Vermivora warblers","interactions":[],"lastModifiedDate":"2023-05-12T12:20:15.008523","indexId":"70243560","displayToPublicDate":"2023-02-01T07:09:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Change in climatically suitable breeding distributions reduces hybridization potential between Vermivora warblers","title":"Change in climatically suitable breeding distributions reduces hybridization potential between Vermivora warblers","docAbstract":"Aim
Climate change is affecting the distribution of species and subsequent biotic interactions, including hybridization potential. The imperiled Golden-winged Warbler (GWWA) competes and hybridizes with the Blue-winged Warbler (BWWA), which may threaten the persistence of GWWA due to introgression. We examined how climate change is likely to alter the breeding distributions and potential for hybridization between GWWA and BWWA.
Location
North America.
Methods
We used GWWA and BWWA occurrence data to model climatically suitable conditions under historical and future climate scenarios. Models were parameterized with 13 bioclimatic variables and 3 topographic variables. Using ensemble modeling, we estimated historical and modern distributions, as well as a projected distribution under six future climate scenarios. We quantified breeding distribution area, the position of and amount of overlap between GWWA and BWWA distributions under each climate scenario. We summarized the top explanatory variables in our model to predict environmental parameters of the distributions under future climate scenarios relative to historical climate.
Results
GWWA and BWWA distributions are projected to substantially change under future climate scenarios. GWWA are projected to undergo the greatest change; the area of climatically suitable breeding season conditions is expected to shift north to northwest; and range contraction is predicted in five out of six future climate scenarios. Climatically suitable conditions for BWWA decreased in four of the six future climate scenarios, while the distribution is projected to shift east. A reduction in overlapping distributions for GWWA and BWWA is projected under all six future climate scenarios.
Main Conclusions
Climate change is expected to substantially alter the area of climatically suitable conditions for GWWA and BWWA, with the southern portion of the current breeding ranges likely to become climatically unsuitable. However, interactions between BWWA and GWWA are expected to decline with the decrease in overlapping habitat, which may reduce the risk of genetic introgression.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13659","usgsCitation":"Hightower, J.N., Crawford, D.L., Thogmartin, W.E., Aldinger, K.R., Barker Swarthout, S., Buehler, D.A., Confer, J., Friis, C., Larkin, J., Lowe, J.D., Piorkowski, M., Rohrbaugh, R., Rosenberg, K.V., Smalling, C.G., Wood, P.B., Vallender, R., and Roth, A.M., 2023, Change in climatically suitable breeding distributions reduces hybridization potential between Vermivora warblers: Diversity and Distributions, v. 29, no. 2, p. 254-271, https://doi.org/10.1111/ddi.13659.","productDescription":"18 p.","startPage":"254","endPage":"271","ipdsId":"IP-138007","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":444642,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13659","text":"Publisher Index Page"},{"id":435475,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AS9YAC","text":"USGS data release","linkHelpText":"Blue-winged and Golden-winged Warbler Breeding Season Occurrences in North America, 1932-2021"},{"id":416983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hightower, Jessica N.","contributorId":204645,"corporation":false,"usgs":false,"family":"Hightower","given":"Jessica","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":872370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, Dolly L.","contributorId":299588,"corporation":false,"usgs":false,"family":"Crawford","given":"Dolly","email":"","middleInitial":"L.","affiliations":[{"id":64892,"text":"Pennsylvania Western University","active":true,"usgs":false}],"preferred":false,"id":872371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":872372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldinger, Kyle R.","contributorId":171892,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research 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