{"pageNumber":"271","pageRowStart":"6750","pageSize":"25","recordCount":184752,"records":[{"id":70244063,"text":"70244063 - 2023 - Broadscale distribution, abundance and habitat associations of the invasive Asian clam (Corbicula fluminea) in the lower Columbia River, USA","interactions":[],"lastModifiedDate":"2023-06-28T15:25:12.948847","indexId":"70244063","displayToPublicDate":"2023-05-27T08:23:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2088,"text":"International Review of Hydrobiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Broadscale distribution, abundance and habitat associations of the invasive Asian clam (<i>Corbicula fluminea</i>) in the lower Columbia River, USA","title":"Broadscale distribution, abundance and habitat associations of the invasive Asian clam (Corbicula fluminea) in the lower Columbia River, USA","docAbstract":"<p><span>The Asian clam,&nbsp;</span><i>Corbicula fluminea</i><span>, is an invasive freshwater bivalve that has established populations across the globe and is known to have deleterious effects on natural and human systems. Yet, despite being present in the Columbia River (CR) for nearly a century, little is known about this invader's basic biology and ecology in this large river system. Thus, we undertook a field study to assess its i) broadscale distribution and abundance, and ii) associations with habitat characteristics in the lower CR. During 2019-20,&nbsp;</span><i>C. fluminea</i><span>&nbsp;were collected from 27 shore-based stations spanning 481 river kilometers of the lower CR, along with several habitat characteristics (bank slope, temperature, dissolved oxygen, pH, salinity, conductivity, chlorophyll-</span><i>a</i><span>&nbsp;concentration, and sediment composition and % organic matter).&nbsp;</span><i>C. fluminea</i><span>&nbsp;abundance ranged from 0-430 ind. m</span><sup>-2</sup><span>. Most sites with abundances &gt;100 ind. m</span><sup>-2</sup><span>&nbsp;were located downstream of Bonneville Dam, while most sites with abundances &lt; 100 ind. m</span><sup>-2</sup><span>&nbsp;were located upstream. Generalized linear models predicting the abundance of&nbsp;</span><i>C. fluminea</i><span>&nbsp;indicated significantly positive correlations with water temperature and % sand, and negative correlations with bank slope and sedimentary % organic matter. We also reviewed the global literature on abundance and habitat associations of&nbsp;</span><i>C. fluminea</i><span>&nbsp;and compared this with our own results. Our investigation represents the greatest spatial extent at which&nbsp;</span><i>C. fluminea</i><span>&nbsp;has been studied in the CR and our results provide a better understanding of the basic biology and ecology of this global invader, as well as provide natural resource managers with information on habitat conditions favorable for this invasive bivalve within temperate river ecosystems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/iroh.202202134","usgsCitation":"Robb-Chavez, S.B., Bollens, S.M., Rollwagen-Bollens, G., and Counihan, T., 2023, Broadscale distribution, abundance and habitat associations of the invasive Asian clam (Corbicula fluminea) in the lower Columbia River, USA: International Review of Hydrobiology, v. 107, no. 5-6, p. 179-195, https://doi.org/10.1002/iroh.202202134.","productDescription":"17 p.","startPage":"179","endPage":"195","ipdsId":"IP-144215","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":443323,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1002/iroh.202202134","text":"Publisher Index Page"},{"id":417644,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"lower Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.68681416397084,\n              46.425452015025826\n            ],\n            [\n              -123.89557364633748,\n              46.425452015025826\n            ],\n            [\n              -123.89557364633748,\n              45.394726212253744\n            ],\n            [\n              -118.68681416397084,\n              45.394726212253744\n            ],\n            [\n              -118.68681416397084,\n              46.425452015025826\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"107","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2023-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Robb-Chavez, Salvador B.","contributorId":261391,"corporation":false,"usgs":false,"family":"Robb-Chavez","given":"Salvador","email":"","middleInitial":"B.","affiliations":[{"id":52831,"text":"Washington State University - Vancouver, School of the Environment","active":true,"usgs":false}],"preferred":false,"id":874362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bollens, Stephen M. 0000-0001-9214-9037","orcid":"https://orcid.org/0000-0001-9214-9037","contributorId":148958,"corporation":false,"usgs":false,"family":"Bollens","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":874363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rollwagen-Bollens, Gretchen","contributorId":190162,"corporation":false,"usgs":false,"family":"Rollwagen-Bollens","given":"Gretchen","email":"","affiliations":[],"preferred":false,"id":874364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Counihan, Timothy D. 0000-0003-4967-6514","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":207532,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874365,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243994,"text":"70243994 - 2023 - Climate change and coastal wetland salinization: Physiological and ecological consequences for Arctic waterfowl","interactions":[],"lastModifiedDate":"2023-07-11T16:07:02.8137","indexId":"70243994","displayToPublicDate":"2023-05-27T07:04:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and coastal wetland salinization: Physiological and ecological consequences for Arctic waterfowl","docAbstract":"<ol class=\"\"><li>Coastal wetland salinization related to warming climate has the potential to impact ecological systems globally. In Alaska, the Yukon-Kuskokwim Delta (YKD) supports large concentrations of breeding water birds and is an ecologically important area for conservation of migratory bird biodiversity. On the YKD, the majority of waterfowl nest in low elevation coastal tundra where storm surges drive saline water into terrestrial wetland habitats. Because newly hatched water birds lack functional salt glands to process saline water, salinization may negatively impact their growth and survival.</li><li>We investigated potential demographic impacts of wetland salinization by conducting controlled physiological experiments to determine consequences of saline water exposure to spectacled<span>&nbsp;</span><i>Somateria fischeri</i><span>&nbsp;</span>and Steller's eider<span>&nbsp;</span><i>Polysticta stelleri</i><span>&nbsp;</span>ducklings, and analysed habitat suitability based on experimentally defined tolerance thresholds and sampled wetland salinity levels.</li><li>We found physiological and behavioural pathologies in &lt;1 week old ducklings at exposure levels of 6 parts per thousand (ppt), and found some evidence of reduced growth in ducklings first exposed after 1 week of age. We conclude that the acute toxicity threshold for ducklings &lt;1 week of age is ≤6 ppt.</li><li>We found that the area of coastal tundra where wetland salinity exceeded 6 ppt varied considerably among years, suggesting that some portion of the breeding range is unsuitable for rearing ducklings in some years. However, we also found that most eiders in most years nested in areas with salinity at or exceeding the tolerance threshold for ducklings, suggesting that nesting eiders do not appear to avoid saline habitats. We suggest that localized fresh water refugia currently may allow resilience to salinization during the critical period.</li><li>Understanding how species and habitats respond to climate driven changes is essential for predicting future patterns of distribution and abundance, and is necessary for making informed decisions about conservation priorities. Our study provides insights into the extent of wetland salinization in Alaska, mechanism of impact and current ecological consequences on avian communities depending on these habitats. With ongoing climate change, the probability of species crossing physiological tolerance thresholds of wetland salinity may change in the future.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.14363","usgsCitation":"Hollmen, T.E., Flint, P.L., Ulman, S., Wilson, H., Amundson, C., and Osnas, E.E., 2023, Climate change and coastal wetland salinization: Physiological and ecological consequences for Arctic waterfowl: Functional Ecology, v. 37, no. 7, p. 1884-1896, https://doi.org/10.1111/1365-2435.14363.","productDescription":"13 p.","startPage":"1884","endPage":"1896","ipdsId":"IP-133912","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":443326,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2435.14363","text":"External Repository"},{"id":435309,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HWRN22","text":"USGS data release","linkHelpText":"Data from Sampling for Small-Scale Geographic Variation in Salinity Along the Lower Kashunuk River, Yukon-Kuskokwim Delta, Alaska, 1993"},{"id":417569,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":874095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":874096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ulman, Sadie E.","contributorId":305922,"corporation":false,"usgs":false,"family":"Ulman","given":"Sadie","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":874097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, H.M.","contributorId":243269,"corporation":false,"usgs":false,"family":"Wilson","given":"H.M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":874098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amundson, Courtney","contributorId":257417,"corporation":false,"usgs":false,"family":"Amundson","given":"Courtney","affiliations":[{"id":40349,"text":"USGS Alaska Science Center (former employee)","active":true,"usgs":false}],"preferred":false,"id":874099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osnas, Erik E.","contributorId":206352,"corporation":false,"usgs":false,"family":"Osnas","given":"Erik","middleInitial":"E.","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":874100,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70246601,"text":"70246601 - 2023 - Using taxa-based approaches to delineate stream macroinvertebrate assemblage responses to stressor gradients in modified alluvial agroecosystems","interactions":[],"lastModifiedDate":"2023-07-11T11:45:17.44451","indexId":"70246601","displayToPublicDate":"2023-05-27T06:42:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Using taxa-based approaches to delineate stream macroinvertebrate assemblage responses to stressor gradients in modified alluvial agroecosystems","docAbstract":"<p>Alluvial plain landscapes are some of the most agriculturally productive lands in the world but often have modified stream ecosystems due to cultivation history. This context requires consideration when establishing water quality management goals. We analyzed state water quality databases to demonstrate that Mississippi Alluvial Plain (MAP) ecoregion streams have elevated specific conductivity (SC) and nutrients and lower macroinvertebrate local and regional taxa pools compared to streams in other ecoregions, potentially reducing the efficacy of traditional biomonitoring approaches within the region. To overcome these challenges, we used threshold indicator taxa analysis (TITAN) to compare macroinvertebrate assemblage responses to water quality gradients among ecoregions in Mississippi. We identified individual taxa and assemblage-level responses to increasing water quality degradation in MAP streams. Observed responses occurred at higher concentrations for SC, total organic carbon (TOC) and total phosphorus (TP), but not total nitrogen (TN) relative to other ecoregions. These responses appeared to be driven by a large proportion of indicator taxa considered tolerant or unresponsive in other ecoregions, responding negatively to increasing water quality stressors in MAP streams. Our observed assemblage-level stressor responses to WQ gradients in MAP streams demonstrate shifting tolerance in highly altered ecosystems may require adjustments to recovery expectations but also provide useful measures for monitoring improvements in regional water quality. For example, our observed macroinvertebrate assemblage response to increasing TP identified a management goal similar to guidance based on distributional analysis of water quality data within the MAP ecoregion (0.11 vs 0.128 mg L−1) and thus provide some biological basis for previously identified nutrient goals for the region. Our approach can guide and monitor success of nutrient reduction efforts in MAP watersheds and other alluvial plain agroecosystems where reference conditions do not exist, and local and regional taxa pools are less diverse and may not support full recovery of ecological assemblages. While our results are promising, they should also be compared with more sensitive and less habitat-limited biological assemblages (e.g., algae or bacteria) to better understand complex ecological responses to best management practices designed to increase sustainability of high production agricultural regions.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2023.110377","usgsCitation":"Taylor, J.M., DeVilbiss, S.E., and Hicks, M.B., 2023, Using taxa-based approaches to delineate stream macroinvertebrate assemblage responses to stressor gradients in modified alluvial agroecosystems: Ecological Indicators, v. 153, 110377, 13 p., https://doi.org/10.1016/j.ecolind.2023.110377.","productDescription":"110377, 13 p.","ipdsId":"IP-140788","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":443328,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70244169,"text":"70244169 - 2023 - When are environmental DNA early detections of invasive species actionable?","interactions":[],"lastModifiedDate":"2023-06-06T11:45:06.863039","indexId":"70244169","displayToPublicDate":"2023-05-27T06:41:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"When are environmental DNA early detections of invasive species actionable?","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Environmental DNA (eDNA) sampling provides sensitive early detection capabilities for recently introduced taxa. However, natural resource managers struggle with how to integrate eDNA results into an early detection rapid response program because positive eDNA detections are not always indicative of an eventual infestation. We used a structured decision making (SDM) framework to evaluate appropriate response actions to hypothetical eDNA early detections of an introduced aquatic plant in Sebago Lake (Maine, USA). The results were juxtaposed to a recent study that used a similar SDM approach to evaluate response actions to hypothetical eDNA early detections of introduced mussels in Jordanelle Reservoir (Utah, USA). We found that eDNA early detections were not actionable in Sebago Lake because the plant's invasion potential was spatially constrained and the current management activities provided acceptable levels of mitigation. In Jordanelle Reservoir, eDNA detections were actionable due to high invasion potential and analyses supported management actions to contain the invasion. The divergent outcomes of the two case studies are related to the unique attributes of the habitats and species, highlighting the utility of the SDM approach when considering an eDNA monitoring program. We use these two case studies to present a general SDM framework and a set of heuristics that can be efficiently applied to eDNA early detection rapid response scenarios and other instances associated with indeterminant eDNA detections, especially when there is an imperative to make decisions as quickly as possible.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.118216","usgsCitation":"Sepulveda, A., Dumoulin, C.E., Blanchette, D.L., Mcphedran, J., Holme, C., Whalen, N., Hunter, M., Merkes, C.M., Richter, C.A., Neilson, M., Daniel, W., Jones-Slobodian, D.N., and Smith, D.R., 2023, When are environmental DNA early detections of invasive species actionable?: Journal of Environmental Management, v. 343, 118216, 11 p., https://doi.org/10.1016/j.jenvman.2023.118216.","productDescription":"118216, 11 p.","ipdsId":"IP-149995","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443331,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2023.118216","text":"Publisher Index Page"},{"id":435311,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S0UI5P","text":"USGS data release","linkHelpText":"Predicted consequences of detecting Najas minor environmental DNA in Sebago Lake Maine, 2022"},{"id":417804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Sebago Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      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asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":874706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumoulin, Christine E. 0000-0001-7587-9417","orcid":"https://orcid.org/0000-0001-7587-9417","contributorId":298038,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Christine","email":"","middleInitial":"E.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":874707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blanchette, Denise L.","contributorId":306083,"corporation":false,"usgs":false,"family":"Blanchette","given":"Denise","email":"","middleInitial":"L.","affiliations":[{"id":39476,"text":"Maine Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":874708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcphedran, John","contributorId":177769,"corporation":false,"usgs":false,"family":"Mcphedran","given":"John","email":"","affiliations":[],"preferred":false,"id":874709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holme, Colin","contributorId":306084,"corporation":false,"usgs":false,"family":"Holme","given":"Colin","email":"","affiliations":[{"id":66366,"text":"Lakes Environmental Association, Bridgton, Maine","active":true,"usgs":false}],"preferred":false,"id":874710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whalen, Nathan","contributorId":306085,"corporation":false,"usgs":false,"family":"Whalen","given":"Nathan","email":"","affiliations":[{"id":66367,"text":"Portland Water District, Portland, Maine","active":true,"usgs":false}],"preferred":false,"id":874711,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214958,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":874712,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":874713,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":874714,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Neilson, Matthew 0000-0002-5139-5677","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":222920,"corporation":false,"usgs":true,"family":"Neilson","given":"Matthew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":874715,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219320,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":874716,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones-Slobodian, Devin Nicole 0000-0001-9215-2930","orcid":"https://orcid.org/0000-0001-9215-2930","contributorId":305357,"corporation":false,"usgs":true,"family":"Jones-Slobodian","given":"Devin","middleInitial":"Nicole","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":874717,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874718,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70243906,"text":"fs20233019 - 2023 - Assessment of undiscovered conventional oil and gas resources of the Barents Sea area, 2021","interactions":[],"lastModifiedDate":"2023-10-30T19:36:51.504573","indexId":"fs20233019","displayToPublicDate":"2023-05-26T11:45:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3019","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of the Barents Sea Area, 2021","title":"Assessment of undiscovered conventional oil and gas resources of the Barents Sea area, 2021","docAbstract":"<p class=\"paragraph\"><span class=\"eop\"><span>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 7.3 billion barrels of oil and 463.7 trillion cubic feet of gas within the Barents Sea area. </span></span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20233019","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Ellis, G.S., Finn, T.M., Le, P.A., Marra, K.R., Leathers-Miller, H.M., and Drake, R.M., II, 2023, Assessment of undiscovered conventional oil and gas resources of the Barents Sea area, 2021:  U.S. Geological Survey Fact Sheet 2023–3019, 2 p., https://doi.org/10.3133/fs20233019.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-133737","costCenters":[{"id":164,"text":"Central Energy Resources Science 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XML"},"url":"https://pubs.usgs.gov/fs/2023/3019/fs20233019.xml"},{"id":417516,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3019/images"}],"country":"Norway, Russia","otherGeospatial":"Barents Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              4.550542070460438,\n              79.47846463932942\n            ],\n            [\n              4.550542070460438,\n              68.68292262514223\n            ],\n            [\n              70.64781874733308,\n              68.68292262514223\n            ],\n            [\n              70.64781874733308,\n              79.47846463932942\n            ],\n            [\n              4.550542070460438,\n              79.47846463932942\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\" data-mce-href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"https://pubs.er.usgs.gov/contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Total Petroleum System and Assessment Units</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishedDate":"2023-05-26","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 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cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":873688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":873689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":873690,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Le, Phuong A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":255367,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":873691,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":873695,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":210000,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":873693,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drake, Ronald M. II 0000-0002-1770-4667","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":206291,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":873694,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70243974,"text":"70243974 - 2023 - Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region","interactions":[],"lastModifiedDate":"2023-05-30T15:13:57.785877","indexId":"70243974","displayToPublicDate":"2023-05-26T10:09:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region","docAbstract":"<p><span>The availability of reliable gridded precipitation datasets is limited around the world, especially in arid regions. In this study, we utilized observations from satellite-based precipitation data and&nbsp;</span><i>in situ</i><span>&nbsp;rain gauge observations to determine a suitable precipitation dataset in the Middle East &amp; North Africa (MENA) region. First, we evaluated seven different precipitation products using rain gauge observations. The validation was conducted at the daily, monthly, and annual time scales. Results indicated a weaker correlation between&nbsp;</span><i>in situ</i><span>&nbsp;rain gauge observation and satellite precipitation data at the daily time step (r: 0.02 to 0.44), mainly due to the lack of range in precipitation distribution. However, the agreement between precipitation estimates and&nbsp;</span><i>in situ</i><span>&nbsp;gauge observations improved at monthly (r: 0.02 to 0.66) and annual time scales (r: −0.22 to 0.57), indicating greater reliability of satellite-based precipitation at monthly and annual time scales. Based on the results and dataset availability, the Multi-Source Weighted-Ensemble Precipitation (MSWEP) was deemed suitable to create a bias-corrected new precipitation dataset for the MENA region. This study highlights the benefits of an adjusted regional precipitation product for hydrologic applications in the MENA region, such as streamflow or runoff estimation, to improve the reliability of the model outputs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2023.105010","usgsCitation":"Kagone, S., Velpuri, N., Khand, K., Senay, G.B., Van der Valk, M.R., Goode, D.J., Hantash, S.A., Al-Momani, T.M., Momejian, N., and Eggleston, J., 2023, Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region: Journal of Arid Environments, v. 215, 105010, 14 p., https://doi.org/10.1016/j.jaridenv.2023.105010.","productDescription":"105010, 14 p.","ipdsId":"IP-126383","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":443334,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2023.105010","text":"Publisher Index Page"},{"id":417535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Jordan, Lebanon","otherGeospatial":"West Bank","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              39.30649160058408,\n              35.36856869578705\n            ],\n            [\n              32.084784344491425,\n              35.36856869578705\n            ],\n            [\n              32.084784344491425,\n              28.71772323486526\n            ],\n            [\n              39.30649160058408,\n              28.71772323486526\n            ],\n            [\n              39.30649160058408,\n              35.36856869578705\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"215","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":216913,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":873972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":222983,"corporation":false,"usgs":false,"family":"Velpuri","given":"Naga Manohar","affiliations":[{"id":40633,"text":"CIGAR","active":true,"usgs":false}],"preferred":false,"id":873973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khand, Kul Bikram 0000-0002-1593-1508","orcid":"https://orcid.org/0000-0002-1593-1508","contributorId":259185,"corporation":false,"usgs":false,"family":"Khand","given":"Kul Bikram","affiliations":[{"id":52326,"text":"AFDS, Contractor to USGS ERSOS Center","active":true,"usgs":false}],"preferred":false,"id":873974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":873975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van der Valk, Michael R.","contributorId":305834,"corporation":false,"usgs":false,"family":"Van der Valk","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":66311,"text":"HYDROLOGY.NL","active":true,"usgs":false}],"preferred":false,"id":873976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goode, Daniel J. 0000-0002-8527-2456","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":216750,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873977,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hantash, Salam Abu","contributorId":305835,"corporation":false,"usgs":false,"family":"Hantash","given":"Salam","email":"","middleInitial":"Abu","affiliations":[{"id":66313,"text":"Palestinian Water Authority, West Bank","active":true,"usgs":false}],"preferred":false,"id":873978,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Al-Momani, Thair M.","contributorId":305836,"corporation":false,"usgs":false,"family":"Al-Momani","given":"Thair","email":"","middleInitial":"M.","affiliations":[{"id":66314,"text":"Ministry of Water and Irrigation, Amman, Jordan","active":true,"usgs":false}],"preferred":false,"id":873979,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Momejian, Nanor","contributorId":305837,"corporation":false,"usgs":false,"family":"Momejian","given":"Nanor","email":"","affiliations":[{"id":66315,"text":"Queens University, Kingston, Canada","active":true,"usgs":false}],"preferred":false,"id":873980,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Eggleston, Jack R. 0000-0001-6633-3041","orcid":"https://orcid.org/0000-0001-6633-3041","contributorId":204628,"corporation":false,"usgs":true,"family":"Eggleston","given":"Jack R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873981,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70243976,"text":"70243976 - 2023 - Comparative toxicity of two neonicotinoid insecticides at environmentally relevant concentrations to telecoprid dung beetles","interactions":[],"lastModifiedDate":"2023-05-30T14:29:28.876741","indexId":"70243976","displayToPublicDate":"2023-05-26T09:27:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Comparative toxicity of two neonicotinoid insecticides at environmentally relevant concentrations to telecoprid dung beetles","docAbstract":"<p><span>Dung beetles (Coleoptera: Scarabaeinae) frequently traverse agricultural matrices in search of ephemeral dung resources and spend extended periods of time burrowing in soil. Neonicotinoids are among the most heavily applied and widely detected insecticides used in conventional agriculture with formulated products designed for row crop and livestock pest suppression. Here, we determined the comparative toxicity of two neonicotinoids (imidacloprid and thiamethoxam) on dung beetles,&nbsp;</span><i>Canthon spp.</i><span>, under two exposure profiles: direct topical application (acute) and sustained contact with treated-soil (chronic). Imidacloprid was significantly more toxic than thiamethoxam under each exposure scenario. Topical application LD50 values (95% CI) for imidacloprid and thiamethoxam were 19.1 (14.5–25.3) and 378.9 (200.3–716.5) ng/beetle, respectively. After the 10-day soil exposure, the measured percent mortality in the 3 and 9&nbsp;µg/kg nominal imidacloprid treatments was 35 ± 7% and 39 ± 6%, respectively. Observed mortality in the 9&nbsp;µg/kg imidacloprid treatment was significantly greater than the control (</span><i>p</i><span> = 0.04); however, the 3&nbsp;µg/kg imidacloprid dose response may be biologically relevant (</span><i>p</i><span> = 0.07). Thiamethoxam treatments had similar mortality as the controls (</span><i>p</i><span> &gt; 0.8). Environmentally relevant concentrations of imidacloprid measured in airborne particulate matter and non-target soils pose a potential risk to coprophagous scarabs.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-023-35262-w","usgsCitation":"Cavallaro, M.C., Hladik, M.L., Hittson, S., Middleton, G., and Hoback, W.W., 2023, Comparative toxicity of two neonicotinoid insecticides at environmentally relevant concentrations to telecoprid dung beetles: Scientific Reports, v. 13, 8537, 10 p., https://doi.org/10.1038/s41598-023-35262-w.","productDescription":"8537, 10 p.","ipdsId":"IP-151364","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":443337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-35262-w","text":"Publisher Index Page"},{"id":417529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavallaro, Michael C.","contributorId":296789,"corporation":false,"usgs":false,"family":"Cavallaro","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":64177,"text":"Bullhead City Pest Abatement District","active":true,"usgs":false}],"preferred":false,"id":873983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hittson, Samantha","contributorId":305839,"corporation":false,"usgs":false,"family":"Hittson","given":"Samantha","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Middleton, Greg","contributorId":305840,"corporation":false,"usgs":false,"family":"Middleton","given":"Greg","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoback, W. Wyatt","contributorId":305841,"corporation":false,"usgs":false,"family":"Hoback","given":"W.","email":"","middleInitial":"Wyatt","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873987,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70248047,"text":"70248047 - 2023 - The role of lithology and climate on bedrock river incision and terrace development along the Buffalo National River, Arkansas","interactions":[],"lastModifiedDate":"2023-09-06T16:38:53.2077","indexId":"70248047","displayToPublicDate":"2023-05-26T07:31:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"The role of lithology and climate on bedrock river incision and terrace development along the Buffalo National River, Arkansas","docAbstract":"The Buffalo National River in northwest Arkansas preserves an extensive Quaternary record of fluvial bedrock incision and aggradation across lithologies of variable resistance. In this work, we apply optically stimulated luminescence (OSL) dating to strath and fill terraces along the Buffalo River to elucidate the role of lithology and climate on the development of the two youngest terrace units (Qtm and Qty). Our OSL ages suggest a minimum strath planation age of ~250 ka for the Qtm terraces followed by a ~200 ka record of aggradation. Qtm incision likely occurred near the LGM, prior to the onset of Qty fill terrace aggradation ~14 ka. Our terrace ages are broadly consistent with other regional fluvial terrace records, and comparison with available paleoclimatic archives suggests that terrace aggradation and incision occurred during drier and wetter hydrological conditions, respectively. Vertical bedrock incision rates were also calculated using OSL-derived estimates of Qtm strath planation and displayed statistically significant spatial variability with bedrock lithology, ranging from 0.04 mm/yr in the higher resistance reaches and 0.02 mm/yr in the lower resistance reaches. In combination with observations of valley width and terrace distribution, these results suggest that vertical processes outpace lateral ones in lithologic reaches with higher resistance.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2023.16","usgsCitation":"Rodrigues, K., Keen-Zebert, A., Shepherd, S., Hudson, M., Bitting, C.J., Johnson, B.G., and Langston, A., 2023, The role of lithology and climate on bedrock river incision and terrace development along the Buffalo National River, Arkansas: Quaternary Research, v. 115, p. 179-193, https://doi.org/10.1017/qua.2023.16.","productDescription":"15 p.","startPage":"179","endPage":"193","ipdsId":"IP-145049","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":420405,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Buffalo National River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.45540310278096,\n              36.28717197002243\n            ],\n            [\n              -93.45540310278096,\n              35.819482639248236\n            ],\n            [\n              -92.25296917676606,\n              35.819482639248236\n            ],\n            [\n              -92.25296917676606,\n              36.28717197002243\n            ],\n            [\n              -93.45540310278096,\n              36.28717197002243\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Rodrigues, Kathleen","contributorId":298832,"corporation":false,"usgs":false,"family":"Rodrigues","given":"Kathleen","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":881630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keen-Zebert, Amanda","contributorId":224228,"corporation":false,"usgs":false,"family":"Keen-Zebert","given":"Amanda","email":"","affiliations":[{"id":40841,"text":"University of Nevada Reno / Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":881631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shepherd, Stephanie","contributorId":328899,"corporation":false,"usgs":false,"family":"Shepherd","given":"Stephanie","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":881632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":881633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bitting, Charles J.","contributorId":199024,"corporation":false,"usgs":false,"family":"Bitting","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":881634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Bradley G.","contributorId":328901,"corporation":false,"usgs":false,"family":"Johnson","given":"Bradley","email":"","middleInitial":"G.","affiliations":[{"id":78522,"text":"Davidson College","active":true,"usgs":false}],"preferred":false,"id":881635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Langston, Abigail","contributorId":328902,"corporation":false,"usgs":false,"family":"Langston","given":"Abigail","email":"","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":881636,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70260121,"text":"70260121 - 2023 - Operationalizing crop model data assimilation for improved on-farm situational awareness","interactions":[],"lastModifiedDate":"2024-10-29T12:16:04.993327","indexId":"70260121","displayToPublicDate":"2023-05-26T07:12:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Operationalizing crop model data assimilation for improved on-farm situational awareness","docAbstract":"<div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><div id=\"spara013\" class=\"u-margin-s-bottom\">The ability of ‘digital agriculture’ to support on-farm decision making is predicated on the real-time combination of observations and prior knowledge into an integrated digital environment. The mathematical discipline that seeks to provide this integration is known as model data assimilation (DA), with demonstrated benefits including improved predictive reliability, and the capacity to identify unexpected changes in field conditions and potential measurement errors. Despite routine adoption in other fields, the delayed adoption of DA in agriculture is due to the need to express end-of-season outcomes such as yield, update forecasts of these outcomes throughout the growing season as data become available, and enhance forecast reliability. To overcome these challenges, three guiding principles are introduced, providing a means to operationalize crop model DA for robust on-farm decision support. We apply the guiding principles using a South Australian viticulture case study. Our case study involves application of an iterative form of a widely used DA algorithm (ensemble Kalman filter) to dynamically update both static parameters and states associated with a grapevine simulation model. Daily weather data as well as fortnightly ground-based leaf area index (LAI) data are used for assimilation. It is shown how crop model DA can lead to not only significant improvements in forecasts of LAI but also to forecasts of end-of-season yield. The guiding principles also enable observations of greatest value to be identified throughout the season. This study highlights the role that formal crop model DA can play in agricultural decision support through enhancing situational awareness in real time.</div></div></div><div id=\"abs0003\" class=\"abstract graphical\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2023.109502","usgsCitation":"Knowling, M., White, J., Grigg, D., Collins, C., Westra, S., Walker, R.R., Pellegrino, A., Ostendorf, B., Bennet, B., and Alzraiee, A.H., 2023, Operationalizing crop model data assimilation for improved on-farm situational awareness: Agricultural and Forest Meteorology, v. 338, 109502, 16 p., https://doi.org/10.1016/j.agrformet.2023.109502.","productDescription":"109502, 16 p.","ipdsId":"IP-139574","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467110,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2023.109502","text":"Publisher Index Page"},{"id":463314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"338","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Knowling, Matthew 0000-0002-7273-3495","orcid":"https://orcid.org/0000-0002-7273-3495","contributorId":251904,"corporation":false,"usgs":false,"family":"Knowling","given":"Matthew","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":917061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Jeremy T. 0000-0002-4950-1469","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":248830,"corporation":false,"usgs":false,"family":"White","given":"Jeremy T.","affiliations":[{"id":50032,"text":"GNS New Zealand","active":true,"usgs":false}],"preferred":false,"id":917062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grigg, Dylan","contributorId":345591,"corporation":false,"usgs":false,"family":"Grigg","given":"Dylan","email":"","affiliations":[{"id":82640,"text":"School of Agriculture, Food and Wine, Faculty of Sciences, The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Cassandra","contributorId":345592,"corporation":false,"usgs":false,"family":"Collins","given":"Cassandra","email":"","affiliations":[{"id":82642,"text":"The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Westra, Seth","contributorId":345593,"corporation":false,"usgs":false,"family":"Westra","given":"Seth","email":"","affiliations":[{"id":82644,"text":"School of Civil, Environmental and Mining Engineering, Faculty of Engineering, Computer and Mathematical Sciences, The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walker, Rob R.","contributorId":345594,"corporation":false,"usgs":false,"family":"Walker","given":"Rob","email":"","middleInitial":"R.","affiliations":[{"id":82640,"text":"School of Agriculture, Food and Wine, Faculty of Sciences, The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917066,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pellegrino, Anne","contributorId":345595,"corporation":false,"usgs":false,"family":"Pellegrino","given":"Anne","email":"","affiliations":[{"id":82645,"text":"LEPSE, Montpellier University, INRAE, Institute Agro, Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":917067,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ostendorf, Bertram","contributorId":345596,"corporation":false,"usgs":false,"family":"Ostendorf","given":"Bertram","email":"","affiliations":[{"id":82646,"text":"7School of Biological Sciences, Faculty of Sciences, The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917068,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bennet, Bree","contributorId":345597,"corporation":false,"usgs":false,"family":"Bennet","given":"Bree","email":"","affiliations":[{"id":82644,"text":"School of Civil, Environmental and Mining Engineering, Faculty of Engineering, Computer and Mathematical Sciences, The University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":917069,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Alzraiee, Ayman H. 0000-0001-7576-3449","orcid":"https://orcid.org/0000-0001-7576-3449","contributorId":272120,"corporation":false,"usgs":true,"family":"Alzraiee","given":"Ayman","email":"","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917070,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70246673,"text":"70246673 - 2023 - Electromagnetic and magnetic imaging of the Stillwater Complex, Montana, USA","interactions":[],"lastModifiedDate":"2023-10-12T11:02:01.080867","indexId":"70246673","displayToPublicDate":"2023-05-26T07:10:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1612,"text":"Exploration Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Electromagnetic and magnetic imaging of the Stillwater Complex, Montana, USA","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Modelling and analysis of helicopter electromagnetic data result in resistivity and susceptibility models and derivatives of magnetic data that characterise shallow parts of the Stillwater Complex, critical for aiding exploration and expansion of globally scarce critical and battery mineral resources that include platinum group elements, nickel, copper and chromium. The magnetic susceptibly models derived from the electromagnetic data and the tilt derivative of the magnetic data image layering, mafic dikes, banded iron formation, and serpentinised peridotite. Known areas with contact-type mineralisation are generally characterised by low resistivities and susceptibilities where the volume of mineralised rock is large and/or the depth is shallow. We use iso-cluster and edge detection analysis of both resistivities and susceptibilities to identify potential mineralisation in poorly characterised regions as well as faults. Low resistivity layers beneath large landslides reflect water saturated porous slip surfaces which can interfere with drilling. This uncommon approach of tightly linking the resistivity and susceptibility models and magnetic anomaly data to rock property, surficial geologic, drill hole and soil geochemistry data to image the geology in the upper ∼100 m, aids identification of prospective mineralised regions as well landslides and faults that can impact mineral exploration and local hazards.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/08123985.2023.2214166","usgsCitation":"Finn, C., Zientek, M., Bloss, B.R., Parks, H.L., and Modroo, J., 2023, Electromagnetic and magnetic imaging of the Stillwater Complex, Montana, USA: Exploration Geophysics, v. 54, no. 6, p. 553-570, https://doi.org/10.1080/08123985.2023.2214166.","productDescription":"18 p.","startPage":"553","endPage":"570","ipdsId":"IP-144763","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":418923,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Stillwater Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.10,\n              45.3\n            ],\n            [\n              -110.10,\n              45.2\n            ],\n            [\n              -109.5,\n              45.2\n            ],\n            [\n              -109.5,\n              45.3\n            ],\n            [\n              -110.10,\n              45.3\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Finn, Carol A. 0000-0002-6178-0405","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":229711,"corporation":false,"usgs":true,"family":"Finn","given":"Carol A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":877866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zientek, Michael L. 0000-0002-8522-9626","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":210763,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":877867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloss, Benjamin r.","contributorId":316619,"corporation":false,"usgs":false,"family":"Bloss","given":"Benjamin","email":"","middleInitial":"r.","affiliations":[{"id":62977,"text":"Emerald Geomodeling","active":true,"usgs":false}],"preferred":false,"id":877868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parks, Heather L. 0000-0002-5917-6866 hparks@usgs.gov","orcid":"https://orcid.org/0000-0002-5917-6866","contributorId":4989,"corporation":false,"usgs":true,"family":"Parks","given":"Heather","email":"hparks@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":877869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Modroo, Justin","contributorId":242874,"corporation":false,"usgs":false,"family":"Modroo","given":"Justin","email":"","affiliations":[{"id":48566,"text":"Group Ten Metals","active":true,"usgs":false}],"preferred":false,"id":877870,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243942,"text":"sir20235012 - 2023 - Tungsten resources of the northern Rocky Mountains, Montana and Idaho— A synthesis and quantitative assessment of skarn-hosted resources","interactions":[],"lastModifiedDate":"2026-03-02T21:54:15.440486","indexId":"sir20235012","displayToPublicDate":"2023-05-26T06:42:17","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5012","displayTitle":"Tungsten Resources of the Northern Rocky Mountains, Montana and Idaho—A Synthesis and Quantitative Assessment of Skarn-Hosted Resources","title":"Tungsten resources of the northern Rocky Mountains, Montana and Idaho— A synthesis and quantitative assessment of skarn-hosted resources","docAbstract":"<p>Mineral resource assessments performed by the U.S. Geological Survey provide a synthesis of available information about the location of known and suspected mineral deposits. This study focuses on skarn-hosted tungsten resources in the northern Rocky Mountain region of east-central Idaho and western Montana which have seen moderate tungsten trioxide production in the past from a variety of mineralization styles including skarn, vein and replacement, and wolframite-quartz veins. The area’s geology is dominated by large Cretaceous and Tertiary plutons that are emplaced into a belt of Mesoproterozoic to Permian sedimentary rock and affected by tectonism related to the Sevier and later Laramide orogenies. Known tungsten skarn mineral sites are associated with contacts between Cretaceous plutons and calcareous and argillaceous sedimentary or metasedimentary rocks, including two skarn deposits in Montana (Calvert and Browns Lake) that are consistent with an updated grade and tonnage model.</p><p>This study (1) delineates permissive tracts where undiscovered tungsten skarn deposits may occur within 1 kilometer of the surface; (2) presents a tungsten mineral site dataset from a variety of public sources; (3) evaluates currently available geochemical, geophysical, and radiometric age data in support of tract delineation; (4) provides probabilistic estimates of the amount of tungsten and tungsten-mineralized rock that could be contained in undiscovered deposits within one major tract; (5) estimates the value of total undiscovered deposits using economic filter analysis; and (6) provides a synthesis of metallogenic controls on regional tungsten skarn and granitoid-related mineral deposits.</p><p>Two permissive tracts were delineated: the Great Falls tectonic zone (GFTZ)-Cretaceous tract, for which a quantitative assessment was performed, and the Bitterroot tract, which was assessed in a qualitative manner. The quantitative three-part assessment, conducted in August 2019, indicates that undiscovered tungsten resources might exist in skarn-type deposits within the study area. Using a negative binomial function, a mean of 4 undiscovered deposits was calculated from panel estimates. Simulation results that combine an updated grade and tonnage model with estimates of undiscovered deposits include the amounts of ore and contained tungsten trioxide at different levels of uncertainty. A mean of 250,000 metric tons and median of 200,000 metric tons contained tungsten trioxide was calculated for the undiscovered deposits within the GFTZ-Cretaceous tract. The value of undiscovered deposits was estimated using a new economic filter that considers factors such as mine type, deposit depth, deposit geometry, metallurgical recovery rate, cutoff grade, and tract area.</p><p>A review of the regional Archean to Paleogene geology suggests that ore metal (copper, molybdenum, and tungsten) variations in intrusion-related deposits of Montana and Idaho may be controlled by a number of factors including the age and composition of underlying basement terranes, depth of emplacement, pluton chemistry and degree of fractionation, redox conditions, and aqueous fluid-melt partition coefficients.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235012","programNote":"Mineral Resources Program","usgsCitation":"Andersen, A.K., Goldman, M.A., Bennett, M.M., Dicken, C.L., Brown, P.J., and Parks, H.L., 2023, Tungsten resources of the northern Rocky Mountains, Montana and Idaho— A synthesis and quantitative assessment of skarn-hosted resources: U.S. Geological Survey Scientific Investigations Report 2023-5012, 87 p., https://doi.org/10.3133/sir20235012.","productDescription":"Report: viii, 87 p.; Data Release","numberOfPages":"87","onlineOnly":"Y","ipdsId":"IP-122167","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500706,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114742.htm","linkFileType":{"id":5,"text":"html"}},{"id":417441,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9094RVV","text":"Spatial data associated with tungsten skarn resource assessment of the northern Rocky Mountains, Montana and Idaho","description":"Goldman, M.A., Dicken, C.L., Brown, P.J., Andersen, A.K., Bennett, M.M., and Parks, H.L., 2022, Spatial data associated with tungsten skarn resource assessment of the northern Rocky Mountains, Montana and Idaho: U.S. Geological Survey data release, https://doi.org/10.5066/P9094RVV."},{"id":417443,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5012/sir20235012.pdf","text":"Report","size":"55 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":417442,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5012/covrthb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"Northern Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.93058150555078,\n              48.9704513230287\n            ],\n            [\n              -116.93058150555078,\n              43.38357304109826\n            ],\n            [\n              -111.08762543219147,\n              43.38357304109826\n            ],\n            [\n              -111.08762543219147,\n              48.9704513230287\n            ],\n            [\n              -116.93058150555078,\n              48.9704513230287\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fusgs.gov%2F&amp;data=05%7C01%7Cjtran%40usgs.gov%7C2acc9ccfe04c490508e208db57150e3b%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C638199520171483214%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=M5pIPYGVMGFOGVgSlKnAjJ%2FMw0n5BBDivZ0f4E1wjFs%3D&amp;reserved=0\" data-mce-href=\"https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fusgs.gov%2F&amp;data=05%7C01%7Cjtran%40usgs.gov%7C2acc9ccfe04c490508e208db57150e3b%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C638199520171483214%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=M5pIPYGVMGFOGVgSlKnAjJ%2FMw0n5BBDivZ0f4E1wjFs%3D&amp;reserved=0\">U.S. Geological Survey</a><br>Building 19, 350 N. Akron Rd.<br>P.O. Box 158<br>Moffett Field, CA 94035</p>","tableOfContents":"<ul><li>Introduction</li><li>Study Responsibilities</li><li>Geologic Setting of the Study Area</li><li>Descriptive Models and Orebody Characteristics of Tungsten in the Study Area</li><li>Exploration History and Significant Tungsten Mineral Sites</li><li>Assessment Data and Tract Delineation</li><li>Mineral Potential Assessment of Undiscovered Tungsten Skarn Deposits</li><li>Metallogenic Controls on Tungsten Mineralization</li><li>Acknowledgments</li><li>References Cited</li><li>Glossary</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-05-26","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":873842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldman, Margaret A. 0000-0003-2232-6362 mgoldman@usgs.gov","orcid":"https://orcid.org/0000-0003-2232-6362","contributorId":176468,"corporation":false,"usgs":true,"family":"Goldman","given":"Margaret","email":"mgoldman@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":873843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Mitchell M. 0000-0001-9533-9557 mbennett@usgs.gov","orcid":"https://orcid.org/0000-0001-9533-9557","contributorId":199379,"corporation":false,"usgs":true,"family":"Bennett","given":"Mitchell","email":"mbennett@usgs.gov","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":873844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dicken, Connie L. 0000-0002-1617-8132 cdicken@usgs.gov","orcid":"https://orcid.org/0000-0002-1617-8132","contributorId":57098,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":873845,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Philip J. 0000-0002-2415-7462 pbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-2415-7462","contributorId":759,"corporation":false,"usgs":true,"family":"Brown","given":"Philip","email":"pbrown@usgs.gov","middleInitial":"J.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":873846,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parks, Heather L. 0000-0002-5917-6866 hparks@usgs.gov","orcid":"https://orcid.org/0000-0002-5917-6866","contributorId":4989,"corporation":false,"usgs":true,"family":"Parks","given":"Heather","email":"hparks@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":873847,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70244021,"text":"70244021 - 2023 - High voltage: The molecular properties of redox-active dissolved organic matter in northern high-latitude lakes","interactions":[],"lastModifiedDate":"2023-06-28T15:24:10.814471","indexId":"70244021","displayToPublicDate":"2023-05-26T06:41:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"High voltage: The molecular properties of redox-active dissolved organic matter in northern high-latitude lakes","docAbstract":"<div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Redox-active functional groups in dissolved organic matter (DOM) are crucial for microbial electron transfer and methane emissions. However, the extent of aquatic DOM redox properties across northern high-latitude lakes and their relationships with DOM composition have not been thoroughly described. We quantified electron donating capacity (EDC) and electron accepting capacity (EAC) in lake DOM from Canada to Alaska and assessed their relationships with parameters from absorbance, fluorescence, and ultrahigh resolution mass spectrometry (FT-ICR MS) analyses. EDC and EAC are strongly tied to aromaticity and negatively related to aliphaticity and protein-like content. Redox-active formulae spanned a range of aromaticity, including highly unsaturated phenolic formulae, and correlated negatively with many aliphatic N and S-containing formulae. This distribution illustrates the compositional diversity of redox-sensitive functional groups and their sensitivity to ecosystem properties such as local hydrology and residence time. Finally, we developed a reducing index (<i>RI</i>) to predict EDC in aquatic DOM from FT-ICR MS spectra and assessed its robustness using riverine DOM. As the hydrology of the northern high-latitudes continues to change, we expect differences in the quantity and partitioning of EDC and EAC within these lakes, which have implications for local water quality and methane emissions.</p></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c01782","usgsCitation":"Kurek, M.R., Garcia-Tigreros, F., Nichols, N.A., Druschel, G.K., Wickland, K., Dornblaser, M.M., Striegl, R.G., Niles, S.F., McKenna, A.M., Aukes, P.J., Kyzivat, E.D., Wang, C., Smith, L., Schiff, S.L., Butman, D., and Spencer, R., 2023, High voltage: The molecular properties of redox-active dissolved organic matter in northern high-latitude lakes: Environmental Science & Technology, v. 57, no. 23, p. 8617-8627, https://doi.org/10.1021/acs.est.3c01782.","productDescription":"11 p.","startPage":"8617","endPage":"8627","ipdsId":"IP-149040","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":417566,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"23","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Kurek, Martin R.","contributorId":300567,"corporation":false,"usgs":false,"family":"Kurek","given":"Martin","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":874164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia-Tigreros, Fenix 0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":874165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, Natalie A.","contributorId":305955,"corporation":false,"usgs":false,"family":"Nichols","given":"Natalie","email":"","middleInitial":"A.","affiliations":[{"id":12680,"text":"Indiana University-Purdue University","active":true,"usgs":false}],"preferred":false,"id":874166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Druschel, Gregory K.","contributorId":305956,"corporation":false,"usgs":false,"family":"Druschel","given":"Gregory","email":"","middleInitial":"K.","affiliations":[{"id":12680,"text":"Indiana University-Purdue University","active":true,"usgs":false}],"preferred":false,"id":874167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":874168,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dornblaser, Mark M.","contributorId":300296,"corporation":false,"usgs":false,"family":"Dornblaser","given":"Mark","email":"","middleInitial":"M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":874169,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":874170,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Niles, Sydney F.","contributorId":300569,"corporation":false,"usgs":false,"family":"Niles","given":"Sydney","email":"","middleInitial":"F.","affiliations":[{"id":65203,"text":"National High Magnetic Field Laboratory","active":true,"usgs":false}],"preferred":false,"id":874171,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McKenna, Amy M.","contributorId":298033,"corporation":false,"usgs":false,"family":"McKenna","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":874172,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Aukes, Pieter J.K","contributorId":300570,"corporation":false,"usgs":false,"family":"Aukes","given":"Pieter","email":"","middleInitial":"J.K","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":874173,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kyzivat, Ethan D.","contributorId":300572,"corporation":false,"usgs":false,"family":"Kyzivat","given":"Ethan","email":"","middleInitial":"D.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":874174,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wang, Chao","contributorId":292527,"corporation":false,"usgs":false,"family":"Wang","given":"Chao","email":"","affiliations":[{"id":27517,"text":"University of North Carolina - Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":874175,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Laurence C.","contributorId":169004,"corporation":false,"usgs":false,"family":"Smith","given":"Laurence C.","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":874176,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schiff, Sherry L.","contributorId":173073,"corporation":false,"usgs":false,"family":"Schiff","given":"Sherry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":874177,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Butman, David","contributorId":224754,"corporation":false,"usgs":false,"family":"Butman","given":"David","affiliations":[{"id":16962,"text":"U. Washington","active":true,"usgs":false}],"preferred":false,"id":874178,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":874179,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70244031,"text":"70244031 - 2023 - Susceptibility of Pallid Sturgeon to viral hemorrhagic septicemia virus genotype IVb","interactions":[],"lastModifiedDate":"2023-06-28T15:22:56.893789","indexId":"70244031","displayToPublicDate":"2023-05-26T06:34:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2177,"text":"Journal of Aquatic Animal Health","active":true,"publicationSubtype":{"id":10}},"title":"Susceptibility of Pallid Sturgeon to viral hemorrhagic septicemia virus genotype IVb","docAbstract":"<h3 id=\"aah10181-sec-0104-title\" class=\"article-section__sub-title section\">Objective</h3><p>Viral hemorrhagic septicemia virus (VHSV) is an aquatic rhabdovirus causing severe disease in freshwater and saltwater fish species. The susceptibility of endangered Pallid Sturgeon<span>&nbsp;</span><i>Scaphirhynchus albus</i><span>&nbsp;</span>to VHSV genotype IVb (VHSV-IVb) infection was investigated.</p><h3 id=\"aah10181-sec-0101-title\" class=\"article-section__sub-title section\">Methods</h3><p>An in vitro assessment using two Pallid Sturgeon cell lines derived from skin and spleen tissue and in vivo evaluation of juvenile Pallid Sturgeon after exposure to VHSV-IVb were performed.</p><h3 id=\"aah10181-sec-0102-title\" class=\"article-section__sub-title section\">Result</h3><p>Plaque assay and RT-PCR results confirmed VHSV-IVb replication in Pallid Sturgeon cell lines. Sturgeon were also susceptible to VHSV-IVb infection after immersion and injection exposures during laboratory experiments. However, after widespread mortality occurred in all treatment groups, including negative control fish, it was determined that the Pallid Sturgeon stock fish were infected with Missouri River sturgeon iridovirus (MRSIV) prior to experimental challenge. Nevertheless, mortalities were equal or higher among VHSV-exposed fish than among negative controls (MRSIV infected), and histopathological assessments indicated reduced hematopoietic cells in spleen and kidney tissues and hemorrhage in the gastrointestinal organs only in fish from the VHSV treatment.</p><h3 id=\"aah10181-sec-0103-title\" class=\"article-section__sub-title section\">Conclusion</h3><p>These results indicate that Pallid Sturgeon is a susceptible host for VHSV-IVb, but the degree of pathogenicity was confounded by the underlying MRSIV infection. Research comparing susceptibility of specific pathogen-free and MRSIV-infected fish to VHSV-IVb is needed to accurately assess the vulnerability of Pallid Sturgeon to VHSV-IVb.</p>","language":"English","publisher":"Wiley","doi":"10.1002/aah.10181","usgsCitation":"Hopper, L.R., Glenn, J., MacConnell, E., Winton, J., and Emmenegger, E.J., 2023, Susceptibility of Pallid Sturgeon to viral hemorrhagic septicemia virus genotype IVb: Journal of Aquatic Animal Health, v. 35, no. 2, p. 88-100, https://doi.org/10.1002/aah.10181.","productDescription":"13 p.","startPage":"88","endPage":"100","ipdsId":"IP-141811","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":497995,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/aah.10181","text":"Publisher Index Page"},{"id":435312,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CCV8DM","text":"USGS data release","linkHelpText":"Experimental Testing of Endangered Pallid Sturgeon to Viral Hemorrhagic Septicemia Virus Genotype IVb"},{"id":417565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopper, Lacey R.","contributorId":206813,"corporation":false,"usgs":false,"family":"Hopper","given":"Lacey","email":"","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":874203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Jolene A.","contributorId":305970,"corporation":false,"usgs":false,"family":"Glenn","given":"Jolene A.","affiliations":[{"id":36672,"text":"Previously USGS","active":true,"usgs":false}],"preferred":false,"id":874204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacConnell, Elizabeth","contributorId":305972,"corporation":false,"usgs":false,"family":"MacConnell","given":"Elizabeth","affiliations":[{"id":66331,"text":"Headwaters Fish Pathology, LLC, 1049 Tayabeshockup Road, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":874205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winton, James 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":179330,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 eemmenegger@usgs.gov","orcid":"https://orcid.org/0000-0001-5217-6030","contributorId":2434,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Eveline","email":"eemmenegger@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874207,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256669,"text":"70256669 - 2023 - Patterns of water use by raptors in the southern Great Plains","interactions":[],"lastModifiedDate":"2024-08-07T23:44:22.183237","indexId":"70256669","displayToPublicDate":"2023-05-25T18:42:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of water use by raptors in the southern Great Plains","docAbstract":"<p id=\"ID0EF\" class=\"first\">There is a paucity of data evaluating water use by raptors. Although raptors are believed to satisfy their water requirements through metabolic processes, they are known to experience reduced reproductive success during periods of drought, and there is evidence of water being important for site occupancy in arid landscapes. Several raptor species have a seasonal or year-round presence in west Texas, a drought-prone, semi-arid region of the Southern Great Plains. We examined species-specific timing of free water use by common raptors in this region, and examined environmental conditions associated with water use. We collected 4549 camera trap-days of data across 4 yr at ten human-made water sources placed for cattle. We recorded 14 species of raptors among the 1177 detections of raptors visiting water sources; of these, 1084 raptors (92.1%) perched at tanks, and 93 (7.1%) flew by tanks. Of the raptors that perched at tanks, 63.5% drank and 20.8% both bathed and drank. Barn Owls (<i>Tyto alba</i>; 35.6%), Swainson's Hawks (<i>Buteo swainsoni</i>; 32.0%), and Northern Harriers (<i>Circus hudsonius</i>; 21.0%) were the predominate species detected. Visits by Northern Harriers and Swainson's Hawks increased with increasing temperature and decreasing precipitation. Visits by Barn Owls increased with increasing drought severity. Further, detections per 100 trap-days increased substantively across our 4-yr study period during which the region experienced one of the worst droughts on record. Although our data do not demonstrate these raptors require free water, they do reveal an increasing use of free water in relation to hotter and drier conditions. How this influences survival and reproduction remains unknown, but may become a pressing question because current climate models predict the study area will experience increases in heat and decreases in precipitation.</p>","language":"English","publisher":"BioOne","doi":"10.3356/JRR-21-70","usgsCitation":"Boal, C.W., Bibles, B.D., and Gicklhorn, T., 2023, Patterns of water use by raptors in the southern Great Plains: Journal of Raptor Research, v. 57, no. 3, p. 444-455, https://doi.org/10.3356/JRR-21-70.","productDescription":"12 p.","startPage":"444","endPage":"455","ipdsId":"IP-134224","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bibles, Brent D.","contributorId":341539,"corporation":false,"usgs":false,"family":"Bibles","given":"Brent","email":"","middleInitial":"D.","affiliations":[{"id":81739,"text":"Unity College","active":true,"usgs":false}],"preferred":false,"id":908581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gicklhorn, Trevor S.","contributorId":341540,"corporation":false,"usgs":false,"family":"Gicklhorn","given":"Trevor S.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908582,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243941,"text":"sir20235050 - 2023 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020","interactions":[],"lastModifiedDate":"2026-03-09T16:14:58.563672","indexId":"sir20235050","displayToPublicDate":"2023-05-25T14:04:57","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5050","displayTitle":"Bathymetric and Velocimetric Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020","docAbstract":"<p>Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, near 15 bridges at 10 highway crossings of the Missouri and Mississippi Rivers near Washington, Louisiana, and St. Louis, Missouri, on August 3–10, 2020. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches about 1,640 to 1,970 feet longitudinally and generally extending laterally across the active channel from bank to bank during moderate flood-flow conditions. These surveys provided channel geometry and hydraulic conditions at the time of the surveys and provided characteristics of scour holes that may be useful in developing predictive guidelines or equations for computing potential scour depth. These data also may be useful to the Missouri Department of Transportation as a low to moderate flood-flow assessment of the bridges for stability and integrity issues with respect to bridge scour during floods.</p><p>Bathymetric data were collected around every in-channel pier. Scour holes were present at most piers for which bathymetry could be obtained, except those on banks or surrounded by riprap. All the bridge sites in this study were previously surveyed and documented in previous studies, including the two new bridge structures at Louisiana and Washington (structures A8141 and A8504, sites 22 and 32, respectively). Comparisons between bathymetric surfaces from the previous surveys and those of the current (2020) study do not indicate any consistent correlation in channel-bed elevations with streamflow conditions. The comparisons of the 2020 surveys to two previous surveys at the new bridge structure A8141 at Washington (site 22) resulted in net erosion of the channel bed in both comparisons, despite the 2020 streamflow being less than either previous survey. Alternatively, there was a net gain of sediment at new bridge structure A8504 at Louisiana (site 32) between 2014 and 2020, which was the most substantial increase in the surveys detailed in this report; substantially less flow in 2020 than in 2014 or changes to the channel and spur dikes near the bridge may have contributed to the observed sediment gain.</p><p>Pier size, nose shape, and skew to approach flow had a substantial effect on the size of the scour hole observed at a given pier. Larger and deeper scour holes were present at piers with wide or blunt noses caused by exposed footings, seal courses, or caissons. When a pier was skewed to primary approach flow, the scour hole was generally deeper and larger than at a similar pier without skew; however, the shape of the scour hole near skewed piers in this study generally was longer and deeper on the leeward side, contrary to the general shape of scour holes for skewed piers. However, this phenomenon has been observed historically at these sites, and likely is exacerbated by debris rafts or other turbulence-inducing features near the atypical scour holes. A substantial scour hole was observed near pier 11 of structure A6500 (site 33), which was deeper than in the 2016 survey. The scour holes observed at pier 17 of structure L0561 (site 25) and piers 3 and 4 of structure A1500 (site 34) also were slightly deeper and wider in 2020 than in 2016. At new bridge structures A8141 at Washington (site 22) and A8504 at Louisiana (site 32), the smaller cross-sectional area and configuration of the piers of the new bridges resulted in substantially less scour than with the wider old piers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235050","collaboration":"Prepared in cooperation with Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., 2023, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020 (ver. 1.1, June 2023): U.S. Geological Survey Scientific Investigations Report 2023–5050, 129 p., https://doi.org/10.3133/sir20235050.","productDescription":"Report: xii, 129 p.; 4 Data Releases","numberOfPages":"146","onlineOnly":"Y","ipdsId":"IP-137672","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500928,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114743.htm","linkFileType":{"id":5,"text":"html"}},{"id":417650,"rank":9,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2023/5050/versionHist.txt","text":"Version History","size":"1.19 kB","linkFileType":{"id":2,"text":"txt"}},{"id":417532,"rank":8,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5050/images"},{"id":417434,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F04JC5","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020"},{"id":417432,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WDI9YF","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri and Mississippi Rivers on the periphery of Missouri, December 2008 through August 2018"},{"id":417431,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94M4US7","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, January 2010 through May 2017"},{"id":417429,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71C1VCC","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, October 2008 through May 2016"},{"id":417428,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5050/sir20235050.XML","linkFileType":{"id":8,"text":"xml"}},{"id":417427,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5050/sir20235050.pdf","text":"Report","size":"26.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5050"},{"id":417426,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5050/coverthb2.jpg"},{"id":417651,"rank":10,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235050/full"}],"country":"United States","state":"Illinois, Missouri","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.7316541640954,\n              39.115075665885314\n            ],\n            [\n              -90.7316541640954,\n              38.326846254515004\n            ],\n            [\n              -90.02883149031791,\n              38.326846254515004\n            ],\n            [\n              -90.02883149031791,\n              39.115075665885314\n            ],\n            [\n              -90.7316541640954,\n              39.115075665885314\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: May 25, 2023; Version 1.1: June 1, 2023","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>1400 Independence Road<br>Rolla, MO 65401</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Results of Bathymetric and Velocimetric Surveys</li><li>Summary and Conclusions</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Shaded Triangulated Irregular Network Images of the Channel and Side of Pier for Each Surveyed Pier</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-05-25","revisedDate":"2023-06-01","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873827,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70243794,"text":"ofr20231043 - 2023 - Natural and anthropogenic hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California","interactions":[],"lastModifiedDate":"2026-02-11T21:24:03.936579","indexId":"ofr20231043","displayToPublicDate":"2023-05-25T13:21:36","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1043","displayTitle":"Natural and Anthropogenic Hexavalent Chromium, Cr(VI), in Groundwater near a Mapped Plume, Hinkley, California","title":"Natural and anthropogenic hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California","docAbstract":"<p>The Pacific Gas and Electric Company (PG&amp;E) Hinkley compressor station, in the Mojave Desert, 80 miles northeast of Los Angeles, California, is used to compress natural gas as it is transported through a pipeline from Texas to California. Between 1952 and 1964, cooling water was treated with a compound containing hexavalent chromium, Cr(VI), to prevent corrosion of machinery within the compressor station. Cooling wastewater containing Cr(VI) was discharged to unlined ponds and released into groundwater. Since 1964, cooling-water management practices have been used that do not contribute chromium to groundwater.</p>","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231043","collaboration":"Prepared in cooperation with Lahontan Regional Water Quality Control Board","usgsCitation":"Izbicki, J.A., Groover, K.D., Seymour, W.A., Miller, D.M., Warden, J.G., and Miller, L.G., 2023, Natural and anthropogenic hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California (ver. 1.1, June 2023): U.S. Geological Survey Open-File Report 2023-1043, 6 p., https://doi.org/10.3133/ofr20231043.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-124184","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":499781,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114741.htm","linkFileType":{"id":5,"text":"html"}},{"id":417444,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/pp1885","text":"Professional Paper 1885","linkHelpText":"- Natural and Anthropogenic (Human-Made) Hexavalent Chromium, Cr(VI), in Groundwater near a Mapped Plume, Hinkley, California"},{"id":418433,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1043/ofr20231043.xml"},{"id":418435,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1043/covrthb.jpg"},{"id":417273,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1043/images"},{"id":418431,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2023/1043/versionHist.txt"},{"id":418432,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1043/ofr20231043.pdf","text":"Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432299,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1043/ofr20231043_spanish.pdf","text":"Report (Spanish)","size":"7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2023-1043 in Spanish"}],"country":"United States","state":"California","city":"Hinkley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.45302333136905,\n              35.19277332893611\n            ],\n            [\n              -117.45302333136905,\n              34.55310182669082\n            ],\n            [\n              -116.77216386614738,\n              34.55310182669082\n            ],\n            [\n              -116.77216386614738,\n              35.19277332893611\n            ],\n            [\n              -117.45302333136905,\n              35.19277332893611\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: May 2023; Version 1.1: June 2023","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-05-25","revisedDate":"2023-06-23","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":873288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groover, Krishangi D. 0000-0002-5805-8913 kgroover@usgs.gov","orcid":"https://orcid.org/0000-0002-5805-8913","contributorId":5626,"corporation":false,"usgs":true,"family":"Groover","given":"Krishangi","email":"kgroover@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":873289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seymour, Whitney A. 0000-0002-5999-6573 wseymour@usgs.gov","orcid":"https://orcid.org/0000-0002-5999-6573","contributorId":4131,"corporation":false,"usgs":true,"family":"Seymour","given":"Whitney","email":"wseymour@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":873291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warden, John G. 0000-0003-1384-458X","orcid":"https://orcid.org/0000-0003-1384-458X","contributorId":215846,"corporation":false,"usgs":true,"family":"Warden","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Laurence G. 0000-0002-7807-3475 lgmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-7807-3475","contributorId":2460,"corporation":false,"usgs":true,"family":"Miller","given":"Laurence G.","email":"lgmiller@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":873293,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70243859,"text":"dr1176 - 2023 - Bedrock-surface elevation and overburden thickness maps of the five boroughs, New York City, New York","interactions":[],"lastModifiedDate":"2024-01-10T18:28:03.66053","indexId":"dr1176","displayToPublicDate":"2023-05-25T10:45:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1176","displayTitle":"Bedrock-Surface Elevation and Overburden Thickness Maps of the Five Boroughs, New York City, New York","title":"Bedrock-surface elevation and overburden thickness maps of the five boroughs, New York City, New York","docAbstract":"<p>Digital maps of bedrock elevation and overburden thickness (depth to bedrock) were constructed for the five boroughs of New York City by the U.S. Geological Survey, in cooperation with the New York City Department of Design and Construction, from a compilation of historical and newly acquired data. Raster surfaces were interpolated from a point database containing data from more than 14,000 locations collected from a variety of sources. These data were collected between 1905 and 2021. These maps were constructed to supplement existing tools for the evaluation of potential construction of geothermal heat pump technology for buildings in New York City.</p><p>The bedrock underlying the study area ranges from easily weathered to very resistant to weathering. This differential susceptibility to erosion, along with numerous north-northwest-trending faults, is believed to control the shape of the bedrock surface. Glacial scouring of the bedrock during the Pleistocene Epoch is the most recent control on the topography of bedrock surfaces. Overburden thickness is an important consideration for evaluation and construction of geothermal systems.</p><p>Bedrock-surface elevation ranges from about 360 feet above sea level (in central Staten Island and northern Bronx) to 1,200 feet below sea level (in southern Queens) (North American Vertical Datum of 1988). The overburden thickness ranges from 0 foot thick at surface outcrops on Staten Island, Manhattan, and the Bronx, to 1,280 feet thick in southeastern Queens.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1176","collaboration":"Prepared in cooperation with the New York City Department of Design and Construction","usgsCitation":"DeMott, L.M., Stumm, F., and Finkelstein, J., 2023, Bedrock-surface elevation and overburden thickness maps of the five boroughs, New York City, New York: U.S. Geological Survey Data Report 1176, 22 p., https://doi.org/10.3133/dr1176.","productDescription":"Report: vi, 22 p.; 3 Data releases","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-138256","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":417351,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S7Q68D","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio soundings and depth-to-bedrock data for bedrock surface elevation of the five boroughs, New York City, New York"},{"id":417346,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1176/coverthb.jpg"},{"id":417347,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1176/dr1176.pdf","text":"Report","size":"9.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1176"},{"id":417348,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/dr1176/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1176"},{"id":417349,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1176/dr1176.XML"},{"id":417350,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1176/images/"},{"id":417352,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P911CSI3","text":"USGS data release","linkHelpText":"Geospatial data for bedrock surface elevation of the five boroughs, New York City, New York"},{"id":417353,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O24NP7","text":"USGS data release","linkHelpText":"Continuous marine seismic-reflection surveys and derived depth-to-bedrock point data from the East River, New York City, New York"},{"id":424286,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://ny.water.usgs.gov/maps/nycbedrock/","text":"NYC Bedrock and Groundwater Mapper"}],"contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-york-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-york-water-science-center\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Database and Methods</li><li>Bedrock-Surface Elevation and Overburden Thickness</li><li>Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-05-25","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"DeMott, Laura M. 0000-0003-1277-3484 ldemott@usgs.gov","orcid":"https://orcid.org/0000-0003-1277-3484","contributorId":293790,"corporation":false,"usgs":true,"family":"DeMott","given":"Laura","email":"ldemott@usgs.gov","middleInitial":"M.","affiliations":[{"id":48782,"text":"USGS New York Water Science Center","active":true,"usgs":false}],"preferred":true,"id":873521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":202452,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873523,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243916,"text":"70243916 - 2023 - Geology and paleontology of Cretaceous and Paleocene sediments of the Cabin Branch, Cabin Creek (Cappy Avenue), and Tinkers Creek outcrops, Prince George’s County, Maryland","interactions":[],"lastModifiedDate":"2023-05-25T15:28:25.393665","indexId":"70243916","displayToPublicDate":"2023-05-25T10:11:19","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5478,"text":"Geological Society of America Field Guides","active":true,"publicationSubtype":{"id":24}},"title":"Geology and paleontology of Cretaceous and Paleocene sediments of the Cabin Branch, Cabin Creek (Cappy Avenue), and Tinkers Creek outcrops, Prince George’s County, Maryland","docAbstract":"<p>This field guide presents a one-day excursion in Prince George’s County, Maryland, USA, and documents the transition across the Cretaceous-Paleogene boundary by examining sediments from the upper Maastrichtian of the Severn Formation to the Paleocene sediments of the Brightseat and Aquia formations. Emphasis is placed on understanding how differences in depositional character and lithostratigraphy are related to changes in both microfossil and macrofossil assemblages. Particular attention is given to the difficulty in distinguishing Upper Cretaceous sediments from lower Paleocene sediments in the field, a problem that has traditionally led to misrepresentation of the distribution and thickness of these units and their correlation on a regional scale.</p><p>Regarding the Late Cretaceous geology, the guide presents information on the lithology and microfossil biostratigraphy of the Severn Formation, which consists predominantly of silty quartz sand, with less than 5% clay. These sediments are placed in calcareous nannofossil Zone CC25a, suggesting an early late Maastrichtian age. Low abundances of planktic foraminifera combined with sedimentological evidence suggest deposition most likely occurred in a middle neritic environment. Macrofossils in the outcrops along the field trip consist primarily of fragmented bivalve mollusk and cephalopod shell material. A hiatus of ~5 m.y. separates the Cretaceous sediments from the overlying Paleocene deposits.</p><p>As for the Paleocene geology, the guide presents information on the Brightseat and Aquia formations. The Brightseat represents early Danian age deposition and consists of clayey, silty sand at the base that grades upward into a silty sand. Glauconite is present at &lt;5% throughout the formation in outcrop. Sediments of the Brightseat Formation are placed in calcareous nannofossil Zone NP3. Macrofossils are limited to small bivalve fragments that are scattered throughout. A hiatus representing ~3 m.y. separates the Brightseat from the overlying Aquia Formation, which is Selandian to Thanetian in age and consists of a glauconite-rich (~10%–20%), silty sand with common to abundant macrofossils, including both fragmented and complete gastropods and bivalves.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Field excursions to the northern Sierra Nevada of California, the mining districts of the Sierra Nevada, and Cretaceous and Paleocene sediments in Maryland, USA","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2023.0065(01)","usgsCitation":"Self-Trail, J., Govoni, D.L., Bybell, L.M., and Gardner, K.F., 2023, Geology and paleontology of Cretaceous and Paleocene sediments of the Cabin Branch, Cabin Creek (Cappy Avenue), and Tinkers Creek outcrops, Prince George’s County, Maryland, chap. <i>of</i> Field excursions to the northern Sierra Nevada of California, the mining districts of the Sierra Nevada, and Cretaceous and Paleocene sediments in Maryland, USA: Geological Society of America Field Guides, v. 65, p. 1-20, https://doi.org/10.1130/2023.0065(01).","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-146265","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":435313,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E2JZCG","text":"USGS data release","linkHelpText":"Microfossil, grain size, and petrographic data for the Cabin Branch and Cabin Creek (Cappy Avenue) outcrops, Prince George's County, Maryland"},{"id":417440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Prince George’s County","otherGeospatial":"Cabin Branch Outcrop, Cabin Creek Outcrop, Cappy Avenue Outcrop, Tinkers Creek 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dgovoni@usgs.gov","orcid":"https://orcid.org/0000-0002-2707-0098","contributorId":292463,"corporation":false,"usgs":true,"family":"Govoni","given":"David","email":"dgovoni@usgs.gov","middleInitial":"L.","affiliations":[{"id":5071,"text":"Office of Administration","active":true,"usgs":true}],"preferred":true,"id":873723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bybell, Laurel M. 0000-0002-4760-7542 lbybell@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-7542","contributorId":1760,"corporation":false,"usgs":true,"family":"Bybell","given":"Laurel","email":"lbybell@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":873724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, Kristina Frank 0000-0001-9872-9294","orcid":"https://orcid.org/0000-0001-9872-9294","contributorId":297849,"corporation":false,"usgs":true,"family":"Gardner","given":"Kristina","email":"","middleInitial":"Frank","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":873725,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243924,"text":"70243924 - 2023 - A retrospective assessment of fuel break effectiveness for containing rangeland wildfires in the sagebrush biome","interactions":[],"lastModifiedDate":"2023-05-25T15:10:07.037036","indexId":"70243924","displayToPublicDate":"2023-05-25T09:44:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A retrospective assessment of fuel break effectiveness for containing rangeland wildfires in the sagebrush biome","docAbstract":"<p><span>Escalated wildfire activity within the western&nbsp;U.S.&nbsp;has widespread&nbsp;societal impacts&nbsp;and long-term consequences for the imperiled sagebrush (</span><i>Artemisia</i><span>&nbsp;spp.)&nbsp;biome. Shifts from historical fire regimes and the&nbsp;interplay&nbsp;between frequent disturbance and invasive annual grasses may initiate permanent state transitions as wildfire frequency outpaces sagebrush communities’ innate capacity to recover. Therefore, wildfire management is at the core of conservation plans for sagebrush ecosystems, especially critical habitat for&nbsp;species of conservation&nbsp;concern such as the greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>; hereafter sage-grouse). Fuel breaks help facilitate wildfire suppression by modifying behavior through fuels modification and allowing safe access points for containment by&nbsp;firefighters. The Bureau of Land Management has proposed to roughly double the existing fuel break network in the western U.S., centered on the Great Basin. To our knowledge, no broad-scale examination of fuel break effectiveness or the environmental conditions under which fuel breaks are expected to be most effective has been conducted. We performed a retrospective assessment of probability of fuel break contributing to wildfire containment on recorded wildfire and fuel break interactions from 1985 to 2018 within the western U.S. We characterized environmental, fuels, and weather conditions within 500&nbsp;m of wildfire contact, and within 5&nbsp;km of the approaching wildfire. We used a binomial mixed model within a&nbsp;Bayesian framework&nbsp;to identify relationships between these variables and fuel break success. Fuel breaks were least successful in areas classified as having low resilience to disturbance and low resistance to invasion, in areas composed of primarily woody fuels, and when operating in high temperature and low precipitation conditions. Fuel breaks were most effective in areas where fine fuels dominated and in areas that were readily accessible. Maintenance history and fuel break type also contributed to the probability of containment. Overall results indicate a complex and sometimes paradoxical relationship between landscape characteristics that promote wildfire spread and those that impact fuel break effectiveness. Finally, we developed predictive maps of fuel break effectiveness by fuel break type to further elucidate these complex relationships and to inform urgently needed fuel break placement and maintenance priorities across the sagebrush biome.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.117903","usgsCitation":"Weise, C.L., Brussee, B.E., Crist, M.R., Shinneman, D.J., Coates, P.S., Aldridge, C.L., Heinrichs, J.A., and Ricca, M.A., 2023, A retrospective assessment of fuel break effectiveness for containing rangeland wildfires in the sagebrush biome: Journal of Environmental Management, v. 341, 117903, 15 p., https://doi.org/10.1016/j.jenvman.2023.117903.","productDescription":"117903, 15 p.","ipdsId":"IP-145845","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":435315,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OPI1N3","text":"USGS data release","linkHelpText":"Predictive Maps of Fuel Break Effectiveness by Treatment Type and Underlying Resilience to Disturbance and Resistance to Invasion Across the Western U.S."},{"id":417439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.72004583519214,\n              49.050273759992564\n            ],\n            [\n              -121.72004583519214,\n              36.57497861377678\n            ],\n            [\n              -103.96634293196246,\n              36.57497861377678\n            ],\n           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Center","active":true,"usgs":true}],"preferred":true,"id":873834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873745,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":873746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crist, Michele R. 0000-0002-3506-3402","orcid":"https://orcid.org/0000-0002-3506-3402","contributorId":202575,"corporation":false,"usgs":true,"family":"Crist","given":"Michele","email":"","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":873835,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":873836,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034 jheinrichs@usgs.gov","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":193742,"corporation":false,"usgs":true,"family":"Heinrichs","given":"Julie","email":"jheinrichs@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":873837,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873747,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70243920,"text":"70243920 - 2023 - Elevated road segment (ERS) passage design may provide enhanced connectivity for amphibians, reptiles, and small mammals","interactions":[],"lastModifiedDate":"2023-05-25T14:37:47.454826","indexId":"70243920","displayToPublicDate":"2023-05-25T09:06:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Elevated road segment (ERS) passage design may provide enhanced connectivity for amphibians, reptiles, and small mammals","docAbstract":"<p class=\"mb15\"><strong>Introduction:</strong><span>&nbsp;</span>Designs for safe and effective road crossing structures for small animals are typically under-road microtunnels and culverts which have varying levels of effectiveness reported in the scientific literature. Many species, particularly migratory amphibians, may have limited ability to find and use passages if they are too far apart, resulting in substantial barrier effects.</p><p class=\"mb15\"><strong>Methods:</strong><span>&nbsp;</span>We designed a novel open elevated passage (elevated road segment: ERS), similar to a low terrestrial bridge, that could theoretically be built to any length based upon species needs and movement characteristics. A 30 m length prototype ERS was installed along a forest road with a history of amphibian road mortality in Sierra National Forest, Fresno County, CA, USA. From 2018 to 2021, we monitored small animal activity under the ERS in relation to surrounding roadside and forest habitats using active infrared cameras.</p><p class=\"mb15\"><strong>Results:</strong><span>&nbsp;</span>We documented a total of 8,815 unique use events, using species specific independence criteria, across 22 species of amphibians (3), reptiles (4), and small mammals (15). Poisson regression modeling of taxonomic group activity under the ERS, roadside and forest, showed that amphibian activity was highest in the forest habitat, no differences were observed for reptiles, and small mammal activity was highest under the ERS. However, mean activity estimates under the ERS were equal to or greater than the open roadside habitat for all 22 species, suggesting that adding cover objects, such as downed logs and vegetation may further enhance passage use.</p><p class=\"mb0\"><strong>Discussion:</strong><span>&nbsp;</span>Overall, results showed that the design of the ERS crossing has potential to provide high connectivity for a wide range of amphibian, reptile, and small mammal species while reducing road mortality. ERS systems can also be used in areas with challenging terrain and other hydrological and environmental constraints. Incorporating current road ecology science, we provide supplemental ERS concept designs for secondary roads, primary roads and highways to help increase the options available for road mitigation planning for small animals.</p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2023.1145322","usgsCitation":"Brehme, C.S., Barnes, S., Ewing, B., Gould, P.R., Vaughan, C., Hobbs, M., Tornaci, C., Holm, S., Sheldon, H., Fiutak, J., and Fisher, R., 2023, Elevated road segment (ERS) passage design may provide enhanced connectivity for amphibians, reptiles, and small mammals: Frontiers in Ecology and Evolution, v. 11, 1145322, 16 p., https://doi.org/10.3389/fevo.2023.1145322.","productDescription":"1145322, 16 p.","ipdsId":"IP-152345","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":443347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1145322","text":"Publisher Index Page"},{"id":417436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Fresno County","otherGeospatial":"Sierra National Forest, U.S. Forest Service Road 9S09","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.17535466245019,\n              37.14771885929734\n            ],\n            [\n              -119.17501133969637,\n              37.14595717739965\n            ],\n            [\n              -119.17228621533715,\n              37.145084873115294\n            ],\n            [\n              -119.17138499310803,\n              37.139662677742436\n            ],\n            [\n              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0000-0001-5540-3905","orcid":"https://orcid.org/0000-0001-5540-3905","contributorId":258242,"corporation":false,"usgs":true,"family":"Ewing","given":"Brittany","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gould, Philip Robert 0000-0002-8871-0968","orcid":"https://orcid.org/0000-0002-8871-0968","contributorId":294694,"corporation":false,"usgs":true,"family":"Gould","given":"Philip","email":"","middleInitial":"Robert","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vaughan, Cassie","contributorId":294692,"corporation":false,"usgs":false,"family":"Vaughan","given":"Cassie","email":"","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":873733,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hobbs, Michael","contributorId":258243,"corporation":false,"usgs":false,"family":"Hobbs","given":"Michael","affiliations":[],"preferred":false,"id":873734,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tornaci, Charles","contributorId":294693,"corporation":false,"usgs":false,"family":"Tornaci","given":"Charles","email":"","affiliations":[{"id":63629,"text":"Dokken Engineering","active":true,"usgs":false}],"preferred":false,"id":873735,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holm, Sarah","contributorId":294695,"corporation":false,"usgs":false,"family":"Holm","given":"Sarah","email":"","affiliations":[{"id":63629,"text":"Dokken 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,{"id":70243695,"text":"sir20235005 - 2023 - Moderate flood level scenarios—Synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties","interactions":[],"lastModifiedDate":"2026-03-02T17:59:11.412021","indexId":"sir20235005","displayToPublicDate":"2023-05-25T09:05:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5005","displayTitle":"Moderate Flood Level Scenarios: Synthetic Storm-Driven Flood-Inundation Maps for Coastal Communities in 10 New Jersey Counties","title":"Moderate flood level scenarios—Synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Environmental Protection (NJDEP) and the New Jersey Office of Emergency Management (NJOEM), created digital flood-inundation maps for approximately 1,430 square miles of the New Jersey coast and tidewaters through 10 coastal counties stretching from Cumberland County through Bergen County, New Jersey. The maps depict extent and depth estimates of coastal flooding corresponding to selected tidal elevations recorded by 25 real-time USGS tide gages located within the study area. The flood-inundation maps can be accessed through the USGS Interagency Flood Risk Management (InFRM) Flood Decision Support Toolbox (FDST).</p><p>Previously published modeled data were utilized from the coupled ADvanced CIRCulation Model (ADCIRC) and Simulating Waves Nearshore (SWAN) model. Simulated tropical storm events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected per tide gage providing two “scenarios” and accompanying inundation-map libraries for each gage. Flood-inundation maps reflect between 9 to 30 stages (elevations) at each tide gage that correspond to areal extents and depths for ADCIRC-SWAN storm time steps extracted from modeled hydrographs at the gage locations. Water-surface elevations from ADCIRC-SWAN node points extending through each tide gage station extent were used to interpolate a water surface. Combining these surfaces with a geographic information system (GIS) topobathymetric digital elevation model (TBDEM) delineated the area flooded by coastal waters at each tide gage elevation.</p><p>The availability of these maps to visualize potential inundation for selected water levels along with real-time water level data available online from USGS tide gages, coastal impact statements, and forecasted tide elevations from the National Weather Service (NWS) will provide emergency management personnel and residents with a link between numeric and text warning information and images of estimated inundation extents in their community. User selected display of inundation allows early response activities to NWS forecasted water level elevations or mitigation planning by selecting targeted water levels and planning critical pre-flood activities such as building elevations, early traffic pattern changes because of neighborhood building inundation levels, improved understanding about when major road access is affected, as well as for post-flood recovery efforts.</p><p>A subsequent analysis of several community metrics including total structures, structure density, percent of buildings inundated, and roads and bridges affected by flooding was used to evaluate moderate flooding impacts among the mapped station extents. Initial comparisons are presented to show the variability of these characteristics within each mapped station extent then extended to evaluate impacts from moderate flooding on these same areas. The analysis used simulated inundation layers at the moderate flood stage to investigate the magnitude of inundation on building structures and major roads among the mapped station extents. Experimental equations were developed to begin testing if a mathematical equation could help identify communities that were disproportionately impacted at moderate flood stage. The community analysis of impacts to moderate flooding based on these inundation scenario maps should provide community leaders and local and state planning officials with tools to better visualize and understand how flooding begins to disrupt and damage building structures and major roads as a surrogate for direct increased risk to human life and property.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235005","collaboration":"Prepared in cooperation with New Jersey Department of Environmental Protection","usgsCitation":"Suro, T.P., Niemoczynski, M.J., Boetsma, A., and Niemoczynski, L.M., 2023, Moderate flood level scenarios—Synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023–5005, 49 p., https://doi.org/10.3133/sir20235005.","productDescription":"Report: viii, 49 p.; Data 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Document"},"url":"https://pubs.usgs.gov/publication/sir20235005/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5005"},{"id":417137,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5005/sir20235005.pdf","text":"Report","size":"21.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5005"},{"id":417136,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5005/coverthb.jpg"}],"country":"United States","state":"New Jersey","county":"Atlantic County, Bergen County, Cape May County, Cumberland County, Essex County, Middlesex County, Monmouth County, Ocean County, Salem County, Union County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.1277080228522,\n              40.638935692142724\n     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08648</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area</li><li>Previous Studies</li><li>Site Selection</li><li>Creation of Flood-Inundation Map Libraries</li><li>Evaluating National Weather Service Coastal Impact Statements</li><li>Flood-Inundation Map Delivery</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Review of Major Communities and General Inundation Impacts to Building Structures Using Simulated Moderate Flood Area Extents and National Weather Service Moderate Flood Stage</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-05-25","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Suro, Thomas P. 0000-0002-9476-6829 tsuro@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6829","contributorId":2841,"corporation":false,"usgs":true,"family":"Suro","given":"Thomas","email":"tsuro@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":872934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niemoczynski, Michal J. 0000-0003-0880-7354 mniemocz@usgs.gov","orcid":"https://orcid.org/0000-0003-0880-7354","contributorId":5840,"corporation":false,"usgs":true,"family":"Niemoczynski","given":"Michal","email":"mniemocz@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boetsma, Anna 0000-0002-4142-8199","orcid":"https://orcid.org/0000-0002-4142-8199","contributorId":223460,"corporation":false,"usgs":true,"family":"Boetsma","given":"Anna","email":"","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niemoczynski, Lukasz M. 0000-0003-2008-9148","orcid":"https://orcid.org/0000-0003-2008-9148","contributorId":222171,"corporation":false,"usgs":true,"family":"Niemoczynski","given":"Lukasz","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872937,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70247942,"text":"70247942 - 2023 - Comparison of historic to future without action (FWOA) land change","interactions":[],"lastModifiedDate":"2023-08-25T13:59:00.018822","indexId":"70247942","displayToPublicDate":"2023-05-25T08:52:55","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"Attachment D6","title":"Comparison of historic to future without action (FWOA) land change","docAbstract":"One of the primary purposes of the 2023 Coastal Master Plan Integrated Compartment Model (ICM) is to forecast potential changes in coastal wetland area under varying environmental and restoration scenarios. To validate the model performance, historical analyses of observed wetland changes are needed for comparison to hindcast model runs. To generate these historical analyses, this effort has analyzed satellite imagery from 1985 through 2020 to form a basis of comparison for the hindcast model results.\n\nWetland change is a dynamic process which varies in time and space as a result of multiple compounding and interacting stressors. Wetland area is a fluid concept which can vary depending upon the definition of “wetland” and environmental conditions at the time of acquisition of imagery utilized to estimate land area. Estimates of wetland area are known to vary by more than +/- 5% as a result of nothing more than water level variability.\n\nOften, simplistic wetland change analyses are conducted using simple pre- and post- assessments. These assessments create two wetland classifications at two points in time, difference the two, and assume any change between the two assessments is wetland change. These types of assessments ignore parameters like water level variability, lack temporal resolution to account for said variability, and as such, are often prone to misinterpreting normal environmental variability as wetland change.\n\nThe wetland area change analyses presented here take a multitemporal approach to assessing wetland area change. Annual classifications were created from 1985-2020, and wetland area trends were fit statistically with lines which generalize trends through time. Additionally, the statistical methods utilized here allow for the calculation of confidence intervals with regard to wetland area, which are vital for the validation of model output.\n\nThe analyses presented here provide a comprehensive historical analysis of wetland change by hydrologic compartment from 1985 through 2020. More importantly, these analyses provide a basis by which to assess hindcasting scenarios of the master plan model as it relates to wetland area change. The results from this effort can be utilized to assess model performance and quantify the confidence which may be placed in outputs of projected wetland area.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2023 Coastal Master Plan","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Louisiana Coastal Protection and Restoration Authority","collaboration":"Louisiana Coastal Protection and Restoration Authority","usgsCitation":"Couvillion, B., 2023, Comparison of historic to future without action (FWOA) land change (Version 3), 1300 p.","productDescription":"1300 p.","ipdsId":"IP-144531","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":420153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":420143,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://coastal.la.gov/our-plan/2023-coastal-master-plan/2023-plan-appendices/"}],"country":"United States","state":"Louisiana","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.84855829076659,\n              29.93277612251312\n            ],\n            [\n              -89.59971499975572,\n              30.28731039019054\n            ],\n            [\n              -90.23635934228523,\n              30.560550706997276\n            ],\n            [\n              -91.57502577453536,\n              30.872884459383584\n            ],\n            [\n              -91.89609672665068,\n              30.87383279987627\n            ],\n            [\n              -91.56507428125721,\n              30.30813108484891\n            ],\n            [\n              -93.66683541660686,\n              30.25302437285586\n            ],\n            [\n              -93.94521888014518,\n              29.586089236393093\n            ],\n            [\n              -91.37343665721247,\n              29.06840143481824\n            ],\n            [\n              -89.04531618635953,\n              28.84335507024474\n            ],\n            [\n              -88.84855829076659,\n              29.93277612251312\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":222810,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":881152,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70243930,"text":"70243930 - 2023 - A 37 K SNP array for the management and conservation of Golden Eagles (Aquila chrysaetos)","interactions":[],"lastModifiedDate":"2023-05-25T14:04:13.833238","indexId":"70243930","displayToPublicDate":"2023-05-25T08:36:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A 37 K SNP array for the management and conservation of Golden Eagles (<i>Aquila chrysaetos</i>)","title":"A 37 K SNP array for the management and conservation of Golden Eagles (Aquila chrysaetos)","docAbstract":"<p><span>We describe the development of a custom 37&nbsp;K Affymetrix Axiom myDesign single nucleotide polymorphism (SNP) array for a culturally and ecologically important apex predator, the golden eagle (</span><i>Aquila chrysaetos</i><span>). Using this SNP array, we performed population genomic analysis on 154 individuals of known natal localities and detected three genetic clusters that we designated as Taiga/High Arctic, Great Basin, and Rocky Mountains/Great Plains. Each of these clusters appears to display clinal variation within these geographic regions. After determining genetic structure, we performed an assignment test of 32 individuals, five of which were siblings of individuals used in the assessment of genetic structure, three had associated telemetry data, and the remaining individuals were of unknown natal locations. Using this array, four siblings were correctly assigned to the same geographic region as their sibling and the genetic assignment of the radio telemetered birds agreed with the expected movement patterns displayed by these individuals. For the remaining individuals, we were able to assign all but five individuals to one of the three genetic clusters. Our genetic assignments illustrates the utility of this SNP array to accurately assign most individuals to predesignated geographical regions. While further compiling genetic and other data types, we can increase the power of this tool for identifying those breeding populations that may need assistance due to anthropogenic stressors that negatively impact their population viability. The use of this genetic resource will help substantiate decisions by multiple conservation groups that seek to preserve the natural population structure of the golden eagle.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-023-01508-3","usgsCitation":"Judkins, M.E., Roemer, G., Millsap, B., Barnes, J.G., Bedrosian, B.E., Clarke, S.L., Domenech, R., Herring, G., Lamont, M., Smith, B.W., Stahlecker, D.W., Stuber, M.J., Warren, W.C., and Van Den Bussche, R., 2023, A 37 K SNP array for the management and conservation of Golden Eagles (Aquila chrysaetos): Conservation Genetics, v. 24, p. 391-404, https://doi.org/10.1007/s10592-023-01508-3.","productDescription":"14 p.","startPage":"391","endPage":"404","ipdsId":"IP-125275","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":417435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","noUsgsAuthors":false,"publicationDate":"2023-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Judkins, Megan E.","contributorId":305744,"corporation":false,"usgs":false,"family":"Judkins","given":"Megan","email":"","middleInitial":"E.","affiliations":[{"id":66284,"text":"Oklahoma State Univ.","active":true,"usgs":false}],"preferred":false,"id":873766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roemer, Gary W.","contributorId":276331,"corporation":false,"usgs":false,"family":"Roemer","given":"Gary W.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":873767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Millsap, Brian","contributorId":182410,"corporation":false,"usgs":false,"family":"Millsap","given":"Brian","affiliations":[],"preferred":false,"id":873768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnes, Joseph G.","contributorId":213632,"corporation":false,"usgs":false,"family":"Barnes","given":"Joseph","email":"","middleInitial":"G.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":873769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedrosian, Bryan E.","contributorId":305745,"corporation":false,"usgs":false,"family":"Bedrosian","given":"Bryan","email":"","middleInitial":"E.","affiliations":[{"id":35591,"text":"Teton Raptor Center","active":true,"usgs":false}],"preferred":false,"id":873770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clarke, Stephen L.","contributorId":305746,"corporation":false,"usgs":false,"family":"Clarke","given":"Stephen","email":"","middleInitial":"L.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873771,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Domenech, Robert","contributorId":199743,"corporation":false,"usgs":false,"family":"Domenech","given":"Robert","email":"","affiliations":[{"id":35594,"text":"Raptor View Research Institute","active":true,"usgs":false}],"preferred":false,"id":873772,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":873773,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lamont, Myles","contributorId":305747,"corporation":false,"usgs":false,"family":"Lamont","given":"Myles","email":"","affiliations":[{"id":66287,"text":"TerraFauna Wildlife Consulting","active":true,"usgs":false}],"preferred":false,"id":873774,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Brian W.","contributorId":199748,"corporation":false,"usgs":false,"family":"Smith","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":17821,"text":"U.S. Fish and Wildlife Service, Division of Migratory Birds","active":true,"usgs":false}],"preferred":false,"id":873775,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stahlecker, Dale W.","contributorId":305748,"corporation":false,"usgs":false,"family":"Stahlecker","given":"Dale","email":"","middleInitial":"W.","affiliations":[{"id":66288,"text":"Eagle Environmental Inc","active":true,"usgs":false}],"preferred":false,"id":873776,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stuber, Matthew J.","contributorId":213765,"corporation":false,"usgs":false,"family":"Stuber","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":873777,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Warren, Wesley C.","contributorId":305750,"corporation":false,"usgs":false,"family":"Warren","given":"Wesley","email":"","middleInitial":"C.","affiliations":[{"id":66289,"text":"Univ of Missouri","active":true,"usgs":false}],"preferred":false,"id":873778,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Van Den Bussche, Ronald A.","contributorId":305751,"corporation":false,"usgs":false,"family":"Van Den Bussche","given":"Ronald A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873779,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70243934,"text":"70243934 - 2023 - Ferruginous Hawk movements respond predictably to intra-annual variation but unexpectedly to anthropogenic habitats","interactions":[],"lastModifiedDate":"2023-09-20T16:15:42.515714","indexId":"70243934","displayToPublicDate":"2023-05-25T08:24:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Ferruginous Hawk movements respond predictably to intra-annual variation but unexpectedly to anthropogenic habitats","docAbstract":"<p><span>Birds exhibit flexible movement responses to environmental variation across the annual cycle, and those responses can provide insight into potential impacts that environmental changes may have on these species. To understand year-round variation in space use by Ferruginous Hawks&nbsp;</span><i>Buteo regalis</i><span>, we tracked 12 birds breeding in southwestern Idaho, USA, using GPS telemetry collected over 207 bird-months. Home-range sizes of territorial adult hawks showed strong intra-annual variation, being smallest from April to June and largest from July to October. In contrast, juvenile birds (&lt; 2 years old) did not appear to hold territories and showed no detectable intra-annual variation in ranging behaviour. Association with land-cover types by territorial birds varied between breeding and non-breeding months and was linked to home-range size. Home-range sizes of non-territorial birds were larger than those of territorial birds, and that size did not vary across the year. Association with anthropogenic habitats (irrigated cropland habitats that can provide high rodent densities and increased foraging opportunities) was negatively associated with home-range size in months of the non-breeding season. Unexpectedly, the opposite was true in the months of the breeding season, such that use of croplands resulted in larger home-ranges. Patterns in home-range size were probably linked to intrinsic factors such as the timing of breeding and migratory behaviour, and to extrinsic factors such as prey availability associated with specific land-cover types. These results have implications for our understanding of the response of Ferruginous Hawks and other similar species to predicted changes in land cover, and they suggest unexpected relationships between human activity and wildlife behaviour. Furthermore, because the birds we tracked used a large portion of western North America, they are probably relevant far beyond the small area where these individuals were trapped.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.13200","usgsCitation":"Isted, G.H., Thomas, R.J., Warner, K.S., Stuber, M.J., Ellsworth, E.A., and Katzner, T., 2023, Ferruginous Hawk movements respond predictably to intra-annual variation but unexpectedly to anthropogenic habitats: Ibis, v. 165, no. 4, p. 1156-1168, https://doi.org/10.1111/ibi.13200.","productDescription":"13 p.","startPage":"1156","endPage":"1168","ipdsId":"IP-135118","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":443351,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.13200","text":"Publisher Index Page"},{"id":417425,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Morley Nelson Snake River Birds of Prey National Conservation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.53411095454679,\n              43.487453198340944\n            ],\n            [\n              -116.53411095454679,\n              42.82241710733882\n            ],\n            [\n              -115.67122065178367,\n              42.82241710733882\n            ],\n            [\n              -115.67122065178367,\n              43.487453198340944\n            ],\n            [\n              -116.53411095454679,\n              43.487453198340944\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"165","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Isted, Georgia H.","contributorId":305783,"corporation":false,"usgs":false,"family":"Isted","given":"Georgia","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":873822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Robert J.","contributorId":305784,"corporation":false,"usgs":false,"family":"Thomas","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":873823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, Kevin S.","contributorId":245276,"corporation":false,"usgs":false,"family":"Warner","given":"Kevin","email":"","middleInitial":"S.","affiliations":[{"id":49127,"text":"Idaho Army National Guard","active":true,"usgs":false}],"preferred":false,"id":873824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stuber, Matthew J.","contributorId":213765,"corporation":false,"usgs":false,"family":"Stuber","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":873825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellsworth, Ethan A.","contributorId":201653,"corporation":false,"usgs":false,"family":"Ellsworth","given":"Ethan","email":"","middleInitial":"A.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":873826,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":873791,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70247104,"text":"70247104 - 2023 - Plague mitigation for prairie dog and black-footed ferret conservation: Degree and duration of flea control with 0.005% fipronil grain bait","interactions":[],"lastModifiedDate":"2023-07-26T11:04:36.758633","indexId":"70247104","displayToPublicDate":"2023-05-25T08:24:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10528,"text":"Current Research in Parasitology & Vector-borne Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Plague mitigation for prairie dog and black-footed ferret conservation: Degree and duration of flea control with 0.005% fipronil grain bait","docAbstract":"<p><span>Sylvatic&nbsp;plague, a primarily flea-borne&nbsp;zoonosis, is a significant threat to&nbsp;prairie dogs&nbsp;(</span><i>Cynomys</i><span>&nbsp;spp., PDs) and their specialized&nbsp;predators, endangered black-footed ferrets (</span><i>Mustela nigripes</i><span>, BFFs). Host-fed&nbsp;fipronil&nbsp;baits have proven effective in controlling fleas on PDs for the purposes of plague mitigation and BFF conservation. Currently, annual&nbsp;treatments&nbsp;are the norm. We tested the long-term efficacy of fipronil bait treatments with black-tailed PDs (</span><i>C.&nbsp;ludovicianus</i><span>, BTPDs) and BFFs in South Dakota, USA. During 2018–2020, we provided BTPDs on 21 sites with grain bait formula, laced with 0.005% fipronil (50&nbsp;​mg/kg); 18 non-treated sites functioned as baselines. In 2020–2022, we live-trapped, anesthetized, and combed BTPDs for fleas. Flea control was significant for at least 639–885 days. Flea abundance on the treated sites was &lt; 0.5 fleas/BTPD for ∼750 days. During 2020–2022, we sampled BFFs for fleas on 4 BTPD colonies treated with fipronil grain bait and 8 non-treated colonies. Flea control was significant with BFFs, but flea abundance began to rebound within ∼240 days post-treatment. When feasible, the combination of&nbsp;insecticide&nbsp;treatments, such as fipronil baits, and BFF vaccination against plague provide a “two-pronged” protection approach for these endangered carnivores. If fipronil bait treatments are less effective with predatory BFFs than PDs, as found herein, the “two-pronged” approach might be used to protect BFFs and&nbsp;biennial&nbsp;fipronil bait treatments might be used to protect PDs. If BFF vaccination is not possible, or few BFFs can be vaccinated, annual fipronil bait treatments might be used as a precaution to protect BFFs. Flea densities might be surveyed to determine when/where more frequent treatments seem useful.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.crpvbd.2023.100124","usgsCitation":"Eads, D.A., Livieri, T., Dobesh, P., Hughes, J.P., Fly, J., Redmond, H., Childers, E., Schwarz, M.S., and Biggins, D.E., 2023, Plague mitigation for prairie dog and black-footed ferret conservation: Degree and duration of flea control with 0.005% fipronil grain bait: Current Research in Parasitology & Vector-borne Diseases, v. 3, 100124, 9 p., https://doi.org/10.1016/j.crpvbd.2023.100124.","productDescription":"100124, 9 p.","ipdsId":"IP-150412","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":443353,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crpvbd.2023.100124","text":"Publisher Index Page"},{"id":435316,"rank":2,"type":{"id":30,"text":"Data 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