{"pageNumber":"74","pageRowStart":"1825","pageSize":"25","recordCount":46619,"records":[{"id":70254137,"text":"70254137 - 2024 - Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2023","interactions":[],"lastModifiedDate":"2024-12-04T23:00:31.341348","indexId":"70254137","displayToPublicDate":"2024-03-31T16:49:37","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2023","docAbstract":"<p>Fall bottom trawl (fall BT) and lakewide acoustic (AC) surveys are conducted annually to generate indices of pelagic and benthic prey fish densities in Lake Michigan. The fall BT survey has been conducted each fall since 1973 using 12-m trawls at depths ranging from 9 to 110 m at fixed locations distributed across seven transects; this survey estimates densities of seven prey fish species [i.e., Alewife (<i>Alosa pseudoharengus</i>), Bloater (<i>Coregonus hoyi</i>), Rainbow Smelt (<i>Osmerus mordax</i>), Deepwater Sculpin (<i>Myoxocephalus thompsonii</i>), Slimy Sculpin (<i>Cottus cognatus</i>), Round Goby (<i>Neogobius melanostomus</i>), Ninespine Stickleback (<i>Pungitius pungitius</i>)] as well as age-0 Yellow Perch (<i>Perca flavescens</i>) and large (&gt; 350 mm) Burbot (<i>Lota lota</i>). The AC survey has been conducted each late summer/early fall since 2004, and the 2023 survey consisted of 20 transects [450 km total (336 miles)] covering bottom depths ranging from 12 to 248 m and 29 midwater trawl tows above bottom depths ranging 16 to 246 m; this survey estimates densities of three prey fish species (i.e., Alewife, Bloater, and Rainbow Smelt). The data generated from these surveys are used to estimate various population parameters that are, in turn, used by state and tribal agencies in managing Lake Michigan fish stocks. A spring bottom trawl survey (spring BT) was implemented across 3 of the transects sampled in the fall and sites ranged in depth from 18 to 164 m. The goal of the spring BT is to explore seasonal differences in biomass density and distributions of key prey species, most notably Alewife. Additionally, we conducted acoustic sampling while bottom trawling to evaluate the vertical distribution of fish relative to the height of the trawl. </p><p>The abbreviated spring BT survey results indicated that Alewives were primarily offshore with peak biomass density at the 91 m bottom depth. There was no evidence of higher acoustic density above the trawl at depths of 18, 73, 128, and 146 m. At 91 and 164 m, acoustic density above the trawl was &gt;2x that in the trawl path, but sample size at these two depths was low. For the AC survey, total biomass density of prey fish equaled 14.8 kg/ha, 223% higher than the longterm average (2004-2022) of 4.6 kg/ha and 8.8 kg/ha higher than the 2022 estimate. For the fall BT, total biomass density of prey fish equaled 3.6 kg/ha, about 50% lower than the average value from 2004-2022 (6.9 kg/ha). The 2023 fall BT biomass was an order of magnitude lower than the average over the entirety of the time series (1973-2022; 33.7 kg/ha). </p><p>Bloater was the dominant species (by biomass) among prey fishes in the fall BT, while the AC survey reported dominance of Alewife. Mean biomass of yearling and older (YAO) Alewife was 10.3 kg/ha in the AC survey, and 0.7 kg/ha in the fall BT. Since 2014, catchability of YAO Alewives for the fall BT has been substantially lower than the AC survey. While limited in scope, the results of the 2023 spring BT do not suggest that catchability is substantially higher in the spring than the fall, which aligns with the 2022 survey results. </p><p>Comparing the AC estimate to previous years, YAO Alewife biomass was 359% higher than the average from 2004-2022. Numeric density of age-0 Alewife from the AC survey was 1,205 fish/ha in 2023, which is the third highest in the time series and well above the long-term mean of 428 fish/ha. Biomass density of large (≥120 mm) Bloater in 2023 was 3.5 kg/ha in the AC survey and 2.1 kg/ha in the fall BT - each at least an order of magnitude lower than what was estimated by the fall BT between 1985 and 1997. Following a record high year in 2021 (1,034 fish/ha), the numeric density of small (&lt;120 mm) Bloater was 142 fish/ha in the AC survey, similar to the long-term mean of 120 fish/ha. Meanwhile, small Bloater density estimated in the fall BT was 2 fish/ha. Biomass density of large Rainbow Smelt (≥90 mm) was &lt;0.05 kg/ha in the AC and fall BT surveys, continuing the trend of low Rainbow Smelt biomass that has been observed since 2001. Numeric density of small (&lt;90 mm) Rainbow Smelt was 119 fish/ha in the AC survey and 7 fish/ha in the fall BT, indicating a weak year-class. All four prey fish species sampled only by the fall BT indicated below average biomass densities. Deepwater Sculpin biomass density was estimated at 0.4 kg/ha, which makes 13 of the past 14 years when biomass was &lt;1 kg/ha. Slimy Sculpin was estimated at 0.02 kg/ha, only 5% of the long-term average. Round Goby was estimated at 0.3 kg/ha, below the average biomass of 0.85 kg/ha since 2008 but similar to intermittent low values observed throughout the dataset. Ninespine Stickleback density was 1 fish/ha. Only 35 small (&lt;100 mm) Yellow Perch were caught, indicating a weak Yellow Perch year-class in 2023.&nbsp;</p>","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Warner, D., Tingley, R.W., Madenjian, C.P., Brant, C., Farha, S., Dieter, P., Turschak, B.A., Hanson, D., Phillips, K., and Geister, C., 2024, Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2023, 24 p.","productDescription":"24 p.","ipdsId":"IP-164575","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":464774,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":464773,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": 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Center","active":true,"usgs":true}],"preferred":true,"id":900398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tingley, Ralph W. III 0000-0002-1689-2133","orcid":"https://orcid.org/0000-0002-1689-2133","contributorId":189812,"corporation":false,"usgs":true,"family":"Tingley","given":"Ralph","suffix":"III","email":"","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":900399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":900400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brant, Cory 0000-0002-0919-1566","orcid":"https://orcid.org/0000-0002-0919-1566","contributorId":223422,"corporation":false,"usgs":true,"family":"Brant","given":"Cory","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":920238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farha, Steve A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steve A.","email":"sfarha@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":920239,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dieter, Patricia 0000-0003-1686-2679","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":217345,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":920240,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turschak, Benjamin A.","contributorId":150497,"corporation":false,"usgs":false,"family":"Turschak","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":true,"id":920241,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanson, Dale","contributorId":43676,"corporation":false,"usgs":true,"family":"Hanson","given":"Dale","affiliations":[],"preferred":false,"id":920242,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Phillips, Kristy 0000-0001-8378-0660","orcid":"https://orcid.org/0000-0001-8378-0660","contributorId":204292,"corporation":false,"usgs":true,"family":"Phillips","given":"Kristy","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":920243,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Geister, Caleb","contributorId":346931,"corporation":false,"usgs":false,"family":"Geister","given":"Caleb","email":"","affiliations":[],"preferred":false,"id":920244,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70252888,"text":"70252888 - 2024 - The roles of diet and habitat use in pesticide bioaccumulation by juvenile Chinook Salmon: Insights from stable isotopes and fatty acid biomarkers","interactions":[],"lastModifiedDate":"2024-04-23T15:23:41.80078","indexId":"70252888","displayToPublicDate":"2024-03-31T06:48:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"The roles of diet and habitat use in pesticide bioaccumulation by juvenile Chinook Salmon: Insights from stable isotopes and fatty acid biomarkers","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Stable isotopes (SI) and fatty acid (FA) biomarkers can provide insights regarding trophic pathways and habitats associated with contaminant bioaccumulation. We assessed relationships between SI and FA biomarkers and published data on concentrations of two pesticides [dichlorodiphenyltrichloroethane and degradation products (DDX) and bifenthrin] in juvenile Chinook Salmon (<i>Oncorhynchus tshawytscha</i>) from the Sacramento River and Yolo Bypass floodplain in Northern California near Sacramento. We also&nbsp;conducted SI and FA analyses of zooplankton and macroinvertebrates to determine whether particular trophic pathways and habitats were associated with elevated pesticide concentrations in fish. Relationships between DDX and both sulfur (δ<sup>34</sup>S) and carbon (δ<sup>13</sup>C) SI ratios in salmon indicated that diet is a major exposure route for DDX, particularly for individuals with a benthic detrital energy base. Greater use of a benthic detrital energy base likely accounted for the higher frequency of salmon with DDX concentrations &gt; 60&nbsp;ng/g dw in the Yolo Bypass compared to the Sacramento River. Chironomid larvae and zooplankton were implicated as prey items likely responsible for trophic transfer of DDX to salmon. Sulfur SI ratios enabled identification of hatchery-origin fish that had likely spent insufficient time in the wild to substantially bioaccumulate DDX. Bifenthrin concentration was unrelated to SI or FA biomarkers in salmon, potentially due to aqueous uptake, biotransformation and elimination of the pesticide, or indistinct biomarker compositions among invertebrates with low and high bifenthrin concentrations. One FA [docosahexaenoic acid (DHA)] and DDX were negatively correlated in salmon, potentially due to a greater uptake of DDX from invertebrates with low DHA or effects of DDX on FA metabolism. Trophic biomarkers may be useful indicators of DDX accumulation and effects in juvenile Chinook Salmon in the Sacramento River Delta.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00244-024-01060-2","usgsCitation":"Anzalone, S.E., Fuller, N.W., Huff Hartz, K., Whitledge, G.W., Magnuson, J.T., Schlenk, D., Acuña, S., Whiles, M., and Lydy, M.J., 2024, The roles of diet and habitat use in pesticide bioaccumulation by juvenile Chinook Salmon: Insights from stable isotopes and fatty acid biomarkers: Archives of Environmental Contamination and Toxicology, v. 86, p. 234-248, https://doi.org/10.1007/s00244-024-01060-2.","productDescription":"15 p.","startPage":"234","endPage":"248","ipdsId":"IP-158648","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":427637,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","noUsgsAuthors":false,"publicationDate":"2024-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Anzalone, Sara E.","contributorId":335521,"corporation":false,"usgs":false,"family":"Anzalone","given":"Sara","email":"","middleInitial":"E.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":898598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Neil W.","contributorId":335522,"corporation":false,"usgs":false,"family":"Fuller","given":"Neil","email":"","middleInitial":"W.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":898599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huff Hartz, Kara E.","contributorId":335525,"corporation":false,"usgs":false,"family":"Huff Hartz","given":"Kara E.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":898600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitledge, Gregory W.","contributorId":205604,"corporation":false,"usgs":false,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":898601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":898602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":898603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Acuña, Shawn","contributorId":293913,"corporation":false,"usgs":false,"family":"Acuña","given":"Shawn","affiliations":[{"id":63555,"text":"Metropolitan Water District Southern California, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":898604,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whiles, Matt R.","contributorId":335243,"corporation":false,"usgs":false,"family":"Whiles","given":"Matt R.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":898605,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lydy, Michael J.","contributorId":335530,"corporation":false,"usgs":false,"family":"Lydy","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":898606,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70252636,"text":"70252636 - 2024 - Clumped isotopes record a glacial-interglacial shift in seasonality of soil carbonate accumulation in the San Luis Valley, southern Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2024-04-02T14:29:29.868672","indexId":"70252636","displayToPublicDate":"2024-03-30T09:22:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Clumped isotopes record a glacial-interglacial shift in seasonality of soil carbonate accumulation in the San Luis Valley, southern Rocky Mountains, USA","docAbstract":"<p><span>Clumped isotope paleothermometry using pedogenic carbonates is a powerful tool for investigating past climate changes. However, location-specific seasonal patterns of precipitation and soil moisture cause systematic biases in the temperatures they record, hampering comparison of data across large areas or differing climate states. To account for biases, more systematic studies of carbonate forming processes are needed. We measured modern soil temperatures within the San Luis Valley of the Rocky Mountains and compared them to paleotemperatures determined using clumped isotopes. For Holocene-age samples, clumped isotope results indicate carbonate accumulated at a range of temperatures with site averages similar to the annual mean. Paleotemperatures for late Pleistocene-age samples (ranging 19–72&nbsp;ka in age) yielded site averages only 2°C lower, despite evidence that annual temperatures during glacial periods were 5–9°C colder than modern. We use a 1D numerical model of soil physics to support the idea that differences in hydrologic conditions in interglacial versus glacial periods promote differences in the seasonal distribution of soil carbonate accumulation. Model simulations of modern (Holocene) conditions suggest that soil drying under low soil&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;favors year-round carbonate accumulation in this region but peaking during post-monsoon soil drying. During a “glacial” simulation with lowered temperatures and added snowpack, more carbonate accumulation shifted to the summer season. These experiments show that changing hydrologic regimes could change the seasonality of carbonate accumulation, which in this study blunts the use of clumped isotopes to quantify glacial-interglacial temperature changes. This highlights the importance of understanding seasonal biases of climate proxies for accurate paleoenvironmental reconstruction.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC011221","usgsCitation":"Hudson, A.M., Kelson, J.R., Paces, J., Ruleman, C.A., Huntington, K.W., and Schauer, A.J., 2024, Clumped isotopes record a glacial-interglacial shift in seasonality of soil carbonate accumulation in the San Luis Valley, southern Rocky Mountains, USA: Geochemistry, Geophysics, Geosystems, v. 25, no. 4, e2023GC011221, 23 p., https://doi.org/10.1029/2023GC011221.","productDescription":"e2023GC011221, 23 p.","ipdsId":"IP-114357","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":440002,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc011221","text":"Publisher Index Page"},{"id":435011,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TJF3PZ","text":"USGS data release","linkHelpText":"Isotopic, geochronologic and soil temperature data for Holocene and late Pleistocene soil carbonates of the San Luis Valley, Colorado and New Mexico, USA"},{"id":427311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, new Mexico","otherGeospatial":"San Luis Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107,\n              38.5\n            ],\n            [\n              -107,\n              35.5\n            ],\n            [\n              -105,\n              35.5\n            ],\n            [\n              -105,\n              38.5\n            ],\n            [\n              -107,\n              38.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelson, Julia R.","contributorId":335224,"corporation":false,"usgs":false,"family":"Kelson","given":"Julia","email":"","middleInitial":"R.","affiliations":[{"id":80344,"text":"Department of Geosciences, University of Michigan, Ann Arbor, MI, USA, Department of Earth and Atmospheric Sciences, Indiana University, Indianapolis, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":897781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paces, James B. 0000-0002-9809-8493","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":118216,"corporation":false,"usgs":true,"family":"Paces","given":"James B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":897783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huntington, Katharine W.","contributorId":195423,"corporation":false,"usgs":false,"family":"Huntington","given":"Katharine","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":897784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schauer, Andrew J.","contributorId":140713,"corporation":false,"usgs":false,"family":"Schauer","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":897785,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263277,"text":"70263277 - 2024 - Methane clumped isotopologue variability from ebullition in a mid-latitude lake","interactions":[],"lastModifiedDate":"2025-02-04T15:16:16.078706","indexId":"70263277","displayToPublicDate":"2024-03-30T09:12:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5615,"text":"ACS Earth and Space Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Methane clumped isotopologue variability from ebullition in a mid-latitude lake","docAbstract":"<p><span>Methane is a greenhouse gas and is an important component of carbon cycling in freshwater environments. Isotope ratios of methane (</span><sup>13</sup><span>C/</span><sup>12</sup><span>C and D/H) are used extensively as tracers to identify methane sources. Recent advances in the measurement of clumped methane isotopologues (</span><sup>13</sup><span>CH</span><sub>3</sub><span>D,&nbsp;</span><sup>12</sup><span>CH</span><sub>2</sub><span>D</span><sub>2</sub><span>) offer new opportunities to constrain sources and sinks of atmospheric methane. Previous measurements of clumped methane isotopologues from freshwater environments have been spatially and temporally limited. The abundance of&nbsp;</span><sup>13</sup><span>CH</span><sub>3</sub><span>D and methane flux from ebullition in the deep basin of Upper Mystic Lake were measured from May to November 2021 to characterize the source isotopologue signatures and methane fluxes for mid-latitude lakes. The trends in δ</span><sup>13</sup><span>C and δD values support decreased methane oxidation in the early summer compared to fall. The Δ</span><sup>13</sup><span>CH</span><sub>3</sub><span>D values from this study range from 2.0 to 4.2‰, reflecting methane oxidation occurring anaerobically in lake sediments and euxinic bottom waters at sample sites. The relatively large variation in the Δ</span><sup>13</sup><span>CH</span><sub>3</sub><span>D values observed within this lake basin aligns with previous observations of bubbles from arctic lakes. The values of Δ</span><sup>13</sup><span>CH</span><sub>3</sub><span>D do not correlate with methane flux, suggesting that Δ</span><sup>13</sup><span>CH</span><sub>3</sub><span>D measurements from background ebullition are not sensitive as a proxy for ebullition rates. This study presents a uniquely large (</span><i>n</i><span>&nbsp;= 40) set of freshwater Δ</span><sup>13</sup><span>CH</span><sub>3</sub><span>D values from a single lake basin, which we use to recommend a sampling strategy of ≥9 samples to constrain the Δ</span><sup>13</sup><span>CH</span><sub>3</sub><span>D source signal within ∼0.5‰ from similar environments. This data demonstrates the utility of clumped methane isotopologues to gain insights into local biogeochemical processes from field studies and points to the challenge of using clumped isotopologue measurements to constrain global freshwater–methane sources to the atmosphere.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acsearthspacechem.3c00282","usgsCitation":"Lalk, E., Velez, A., and Ono, S., 2024, Methane clumped isotopologue variability from ebullition in a mid-latitude lake: ACS Earth and Space Chemistry, v. 8, no. 4, p. 689-701, https://doi.org/10.1021/acsearthspacechem.3c00282.","productDescription":"13 p.","startPage":"689","endPage":"701","ipdsId":"IP-157992","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":481663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Lalk, Ellen Jennifer 0000-0002-9843-9278","orcid":"https://orcid.org/0000-0002-9843-9278","contributorId":350488,"corporation":false,"usgs":true,"family":"Lalk","given":"Ellen Jennifer","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":926126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velez, Amber","contributorId":350489,"corporation":false,"usgs":false,"family":"Velez","given":"Amber","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":926127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ono, Shuhei","contributorId":100627,"corporation":false,"usgs":false,"family":"Ono","given":"Shuhei","email":"","affiliations":[{"id":13295,"text":"1Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139,","active":true,"usgs":false}],"preferred":false,"id":926128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252251,"text":"sir20235142 - 2024 - Evaluation of the characteristics, discharge, and water quality of selected springs at Fort Irwin National Training Center, San Bernardino County, California","interactions":[],"lastModifiedDate":"2026-01-30T19:53:52.01101","indexId":"sir20235142","displayToPublicDate":"2024-03-29T12:07:33","publicationYear":"2024","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":"2023-5142","displayTitle":"Evaluation of the Characteristics, Discharge, and Water Quality of Selected Springs at Fort Irwin National Training Center, San Bernardino County, California","title":"Evaluation of the characteristics, discharge, and water quality of selected springs at Fort Irwin National Training Center, San Bernardino County, California","docAbstract":"<p>Eight springs and seeps at Fort Irwin National Training Center were described and categorized by their general characteristics, discharge, geophysical properties, and water quality between 2015 and 2017. The data collected establish a modern (2017) baseline of hydrologic conditions at the springs. Two types of springs were identified: (1) precipitation-fed upland springs (Cave, Desert King, Devouge, No Name, and Panther Springs) and (2) groundwater discharge-fed basin springs (Garlic, Bitter, and Jack Springs). Comparison of electrical resistivity tomography data collected at groundwater basin springs from 2015 to 2017 indicated that spring discharge and connection to the underlying groundwater system is highly focused, although the springs themselves appear diffuse and are spread out over a large area.</p><p>Spring discharge was consistently less than reported by Thompson (1929), except at Garlic Spring where discharges and vegetation have increased in recent years. Multiple discrete flume and seepage meter measurements taken between October 2015 and April 2016 indicated that discharge changed predictably on diurnal and seasonal timescales in response to evapotranspiration. These preliminary results and the lush vegetation noted at some of the springs, particularly at Bitter, Garlic, and Jack Springs, indicated plant evapotranspiration accounts for a substantial part of the discharge from these springs.</p><p>The quality of water ranges from fresh in precipitation-fed upland springs (Cave, Desert King, Devouge, and Panther Springs) to slightly saline (Garlic and Jack Springs) and moderately saline (Bitter Spring) in groundwater-fed discharge springs. Nitrate concentrations from water at most of the springs were less than 3 milligrams per liter, except for samples from Devouge and Desert King Springs and one sample from Jack Spring. An analysis of delta nitrogen-15 in nitrate (δ<sup>15</sup>N-NO<sub>3</sub>) and delta oxygen-18 in nitrate (δ<sup>18</sup>O-NO<sub>3</sub>) indicates high nitrate concentrations in excess of the U.S. Environmental Protection Agency maximum contaminant level at Jack Spring and Desert King Spring resulting from the dissolution of nitrate-bearing caliche deposits; nitrate concentrations at Devouge Spring are a result of algal growth within the spring, and the source of nitrate concentrations in Garlic Spring are consistent with a treated wastewater origin from Langford Valley-Irwin subbasin upgradient. The source of water in upland springs, indicated by values of delta oxygen-18 (δ<sup>18</sup>O) and delta deuterium (δD) are consistent with recharge from winter precipitation. In groundwater basin springs, values of δ<sup>18</sup>O and δD are consistent with groundwater sampled from nearby wells. Summer monsoonal precipitation appears to contribute little water to spring flow. Most springs contain low levels of tritium and appear to be primarily older (pre-1950s) groundwater. Groundwater basin springs with detectable tritium may result from occasional streamflow in nearby washes. These springs could be susceptible to decreases in flow during extended dry periods when the localized recharge may be reduced due to the loss of focused recharge through nearby washes.</p><p>Groundwater samples from Garlic and Bitter Springs contained arsenic concentrations above the U.S. Environmental Protection Agency maximum contaminant level. Groundwater samples from all springs, except Cave, Desert King, and Devouge Springs, exceeded the State of California maximum contaminant level for fluoride. Garlic Spring was the only sampled spring that contained vanadium concentrations that exceeded the State of California notification level. Only a single water sample from Jack Spring contained uranium at a concentration that exceeded the U.S. Environmental Protection Agency maximum contaminant level.</p><p>Many other constituents of concern were analyzed, including those from anthropogenic sources that may be a result of military activities. Most of these constituents were not detected above their respective reporting levels in spring water; only 15 were detected in spring waters. Diesel and gasoline degradants, many of which also occur naturally, were the most commonly detected compounds. Several other organic compounds, primarily solvents or their degradants, were detected in groundwater basin springs. These constituents, in order of decreasing detection frequency, were carbon disulfide; perchlorate; mercury; acetone; methylnaphthalene; toluene; methyl ethyl ketone; cyanide; and styrene; 4-iso-propyl-toluene; isopropylbenzene; methyl salicylate; and phenol. Except for Garlic Spring, which is affected by discharges of treated wastewater, the quality of water from most springs appears to be relatively unaffected by activities at the Fort Irwin National Training Center.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235142","collaboration":"Prepared in cooperation with the U.S. Army Fort Irwin National Training Center","programNote":"Water Availability and Use Science Program","usgsCitation":"Densmore, J.N., Thayer, D.C., Dick, M.C., Swarzenski, P.W., Ball, L.B., Rosecrans, C.Z., and Johnson, C., 2024, Evaluation of the characteristics, discharge, and water quality of selected springs at Fort Irwin National Training Center, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Report 2023–5142, 87 p., https://doi.org/10.3133/sir20235142.","productDescription":"Report: xii, 87 p.; 2 Data Releases","numberOfPages":"87","onlineOnly":"Y","ipdsId":"IP-098665","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":426854,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P901E9C2","text":"USGS Data Release","description":"Mesmer, R.D., Dick, M.C., and Densmore, J.N., 2024, Temperature and discharge data of selected springs at Fort Irwin National Training Center, San Bernardino County, California: U.S. Geological Survey data release, available at https://doi.org/10.5066/P901E9C2.","linkHelpText":"Temperature and discharge data of selected springs at Fort Irwin National Training Center, San Bernardino County, California"},{"id":499404,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116216.htm","linkFileType":{"id":5,"text":"html"}},{"id":426868,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5142/images"},{"id":426867,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5142/covrthb.jpg"},{"id":426866,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235142/full"},{"id":426865,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5142/sir20235142.xml"},{"id":426864,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5142/sir20235142.pdf","text":"Report","size":"25.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":426853,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77W6BF0","text":"USGS Data Release","description":"Thayer, D.C., Ball, L.B., Densmore, J.N., Swarzenski, P.W., and Johnson, C., 2018, Electrical resistivity tomography data at Fort Irwin National Training Center, San Bernardino County, California, 2015 and 2017: U.S. Geological Survey data release, available at https://doi.org/10.5066/F77W6BF0.","linkHelpText":"Electrical resistivity tomography data at Fort Irwin National Training Center, San Bernardino County, California, 2015 and 2017"}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin National Training Center","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.65077467771744,\n              36.01045506303355\n            ],\n            [\n              -117.65077467771744,\n              34.68622540325404\n            ],\n            [\n              -115.49481045780325,\n              34.68622540325404\n            ],\n            [\n              -115.49481045780325,\n              36.01045506303355\n            ],\n            [\n              -117.65077467771744,\n              36.01045506303355\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","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>","tableOfContents":"<ul><li>Acknowledgments&nbsp;</li><li>Abstract&nbsp;</li><li>Introduction&nbsp;</li><li>Characterization Methods: Geophysical, Hydrological, and Water Quality&nbsp;</li><li>Description of Study Areas&nbsp;</li><li>Evaluation of Springs&nbsp;</li><li>Summary and Conclusions&nbsp;</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-03-29","noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Densmore, Jill N. 0000-0002-5345-6613 jidensmo@usgs.gov","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":197491,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill","email":"jidensmo@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thayer, Drew C. 0000-0001-9251-935X","orcid":"https://orcid.org/0000-0001-9251-935X","contributorId":214192,"corporation":false,"usgs":true,"family":"Thayer","given":"Drew","email":"","middleInitial":"C.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":897045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dick, Meghan C. 0000-0002-8323-3787 mdick@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3787","contributorId":200745,"corporation":false,"usgs":true,"family":"Dick","given":"Meghan","email":"mdick@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":897048,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosecrans, Celia Z. 0000-0003-1456-4360 crosecrans@usgs.gov","orcid":"https://orcid.org/0000-0003-1456-4360","contributorId":187542,"corporation":false,"usgs":true,"family":"Rosecrans","given":"Celia","email":"crosecrans@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":897049,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Cordell 0000-0001-8353-8030 cordell_johnson@usgs.gov","orcid":"https://orcid.org/0000-0001-8353-8030","contributorId":147437,"corporation":false,"usgs":true,"family":"Johnson","given":"Cordell","email":"cordell_johnson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897050,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70252817,"text":"70252817 - 2024 - Genetic Connectivity in the Arizona toad (Anaxyrus microscaphus): implications for conservation of a stream dwelling amphibian in the arid Southwestern U.S.","interactions":[],"lastModifiedDate":"2024-05-20T15:30:21.200402","indexId":"70252817","displayToPublicDate":"2024-03-29T11:29:07","publicationYear":"2024","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":"Genetic Connectivity in the Arizona toad (<i>Anaxyrus microscaphus </i>): Implications for conservation of a stream dwelling amphibian in the arid Southwestern U.S.","title":"Genetic Connectivity in the Arizona toad (Anaxyrus microscaphus): implications for conservation of a stream dwelling amphibian in the arid Southwestern U.S.","docAbstract":"<p><span>The Arizona Toad (</span><i>Anaxyrus microscaphus</i><span>) is restricted to riverine corridors and adjacent uplands in the arid southwestern United States. As with numerous amphibians worldwide, populations are declining and face various known or suspected threats, from disease to habitat modification resulting from climate change. The Arizona Toad has been petitioned to be listed under the U.S. Endangered Species Act and was considered “warranted but precluded” citing the need for additional information – particularly regarding natural history (e.g., connectivity and dispersal ability). The objectives of this study were to characterize population structure and genetic diversity across the species’ range. We used reduced-representation genomic sequencing to genotype 3,601 single nucleotide polymorphisms in 99 Arizona Toads from ten drainages across its range. Multiple analytical methods revealed two distinct genetic groups bisected by the Colorado River; one in the northwestern portion of the range in southwestern Utah and eastern Nevada and the other in the southeastern portion of the range in central and eastern Arizona and New Mexico. We also found subtle substructure within both groups, particularly in central Arizona where toads at lower elevations were less connected than those at higher elevations. The northern and southern parts of the Arizona Toad range are not well connected genetically and could be managed as separate units. Further, these data could be used to identify source populations for assisted migration or translocations to support small or potentially declining populations.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-024-01606-w","usgsCitation":"Oyler-McCance, S.J., Ryan, M.J., Sullivan, B.K., Fike, J., Cornman, R.S., Giermakowski, J.T., Zimmerman, S.J., Harrow, R.L., Hedwell, S., Hossack, B., Latella, I., Lovish, R.E., Siefken, S., Sigafus, B., and Muths, E., 2024, Genetic Connectivity in the Arizona toad (Anaxyrus microscaphus): implications for conservation of a stream dwelling amphibian in the arid Southwestern U.S.: Conservation Genetics, v. 25, p. 835-848, https://doi.org/10.1007/s10592-024-01606-w.","productDescription":"14 p.","startPage":"835","endPage":"848","ipdsId":"IP-154561","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":440011,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-024-01606-w","text":"Publisher Index Page"},{"id":427560,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.0000406770512,\n              38.468528390736736\n            ],\n            [\n              -118.0000406770512,\n              30.615684527609147\n            ],\n            [\n              -106.80078434694725,\n              30.615684527609147\n            ],\n            [\n              -106.80078434694725,\n              38.468528390736736\n            ],\n            [\n              -118.0000406770512,\n              38.468528390736736\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryan, Mason J.","contributorId":266045,"corporation":false,"usgs":false,"family":"Ryan","given":"Mason","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":898326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Brian K.","contributorId":177225,"corporation":false,"usgs":false,"family":"Sullivan","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":898327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898329,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Giermakowski, J. T.","contributorId":335421,"corporation":false,"usgs":false,"family":"Giermakowski","given":"J.","email":"","middleInitial":"T.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":898330,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmerman, Shawna J 0000-0003-3394-6102 szimmerman@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-6102","contributorId":238076,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Shawna","email":"szimmerman@usgs.gov","middleInitial":"J","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898331,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harrow, R. L.","contributorId":335422,"corporation":false,"usgs":false,"family":"Harrow","given":"R.","email":"","middleInitial":"L.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":898332,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hedwell, S.J.","contributorId":335423,"corporation":false,"usgs":false,"family":"Hedwell","given":"S.J.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":898333,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":898334,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Latella, I. M.","contributorId":335424,"corporation":false,"usgs":false,"family":"Latella","given":"I. M.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":898335,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lovish, R. E.","contributorId":335425,"corporation":false,"usgs":false,"family":"Lovish","given":"R.","email":"","middleInitial":"E.","affiliations":[{"id":80401,"text":"Naval Facilities Engineering Systems Command Southwest","active":true,"usgs":false}],"preferred":false,"id":898336,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Siefken, S.","contributorId":335427,"corporation":false,"usgs":false,"family":"Siefken","given":"S.","affiliations":[{"id":65571,"text":"Utah Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":898337,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sigafus, Brent H. 0000-0002-7422-8927","orcid":"https://orcid.org/0000-0002-7422-8927","contributorId":264740,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898338,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":245922,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898339,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70252670,"text":"70252670 - 2024 - Post-wildfire debris flows","interactions":[],"lastModifiedDate":"2024-04-02T15:03:04.719071","indexId":"70252670","displayToPublicDate":"2024-03-29T10:00:07","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Post-wildfire debris flows","docAbstract":"<p><span>Post-wildfire debris flows pose severe hazards to communities and infrastructure near and within recently burned mountainous terrain. Intense heat of wildfires changes the runoff characteristics of a watershed by combusting the vegetative canopy, litter, and duff, introducing ash into the soil and creating water repellant soils. Following wildfire, rainfall on bare ground is less able to infiltrate into the fire-altered soils and overland flow is less&nbsp;impeded by vegetation. Rainfall runoff in recently burned areas can erode hillslopes owing to the removal of soil binding organic matter near the soil surface by fire. In channels, loose, dry-ravel deposits composed of sand and gravel are readily entrained by concentrated runoff in channels. Entrainment of soil on hillslopes and in channels bulks up the sediment concentration of the rainfall runoff to generate debris flows capable of transporting boulders and large woody debris. Post-wildfire debris flows can be triggered by rainfall conditions that would typically produce little runoff during unburned conditions. The primary rainfall trigger for post-wildfire debris flows is high intensity rainfall during short duration convective rainstorms or periods of high&nbsp;rainfall&nbsp;intensity embedded within a long-duration frontal storm. Numerous observations of debris flows triggered by storms lasting less than an hour following periods of little to no rainfall indicate that antecedent rainfall is not a requirement for initiation of post-wildfire debris flows. Post-wildfire debris-flow hazard assessment entails estimating probability and magnitude of debris flows in the burned area, estimating debris-flow runout and intensity, and defining rainfall intensity-duration thresholds for debris-flow initiation. In the United States, probability and magnitude is estimated using empirically derived models largely based on data collected in southern California. The models provide maps to identify watersheds and drainage paths where post-wildfire hazards are most pronounced. Rainfall intensity-duration thresholds can be incorporated into flood hazard forecasting tools. Currently, work is underway to identify how to best implement debris-flow runout models in burned areas with efficiency and accuracy. Post-wildfire debris flows have been a long-recognized process in the Transverse Ranges of southern California; however, climate change is driving more frequent wildfires to burn more mountainous terrain throughout the western United States and worldwide. As a result, post-wildfire debris flows are becoming a more common threat in areas where they were once infrequent. As the threat of post-wildfire debris flow expands into new areas, evaluating the hazard becomes challenging because the degree to which wildfire increases debris-flow susceptibility varies from region to region. This chapter summarizes the knowledge to date for evaluating post-wildfire debris-flow susceptibility and hazard assessment. We summarize the characteristics of wildfire burn severity, topography, underlying soil and geology, and rainfall conditions that contribute to making a watershed most likely to produce post-wildfire debris flows. Methods for hazard assessment in the United States and other countries are summarized. We highlight knowledge gaps for how post-wildfire debris-flow susceptibility varies throughout the western United States and worldwide and identify research needs to improve hazard assessment methods in different geographies.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in Debris-flow Science and Practice","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-48691-3_11","usgsCitation":"Gartner, J., Kean, J.W., Rengers, F.K., McCoy, S., Oakley, N.S., and Sheridan, G.J., 2024, Post-wildfire debris flows, chap. <i>of</i> Advances in Debris-flow Science and Practice, p. 309-345, https://doi.org/10.1007/978-3-031-48691-3_11.","productDescription":"37 p.","startPage":"309","endPage":"345","ipdsId":"IP-144910","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":427315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Gartner, Joseph","contributorId":335250,"corporation":false,"usgs":false,"family":"Gartner","given":"Joseph","affiliations":[{"id":78476,"text":"BGC Engineering","active":true,"usgs":false}],"preferred":false,"id":897864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCoy, Scott W.","contributorId":267182,"corporation":false,"usgs":false,"family":"McCoy","given":"Scott W.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":897867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oakley, Nina S.","contributorId":197885,"corporation":false,"usgs":false,"family":"Oakley","given":"Nina","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":897868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sheridan, Gary J.","contributorId":210293,"corporation":false,"usgs":false,"family":"Sheridan","given":"Gary","email":"","middleInitial":"J.","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":897869,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254483,"text":"70254483 - 2024 - Evaluation of data collected by Guam Division of Aquatic and Wildlife Resources during population establishment and monitoring of ko'ko' (Hypotaenidia owstoni) on Rota, Commonwealth of the Northern Mariana Islands, and wildlife monitoring datasets on Cocos Island and Guam","interactions":[],"lastModifiedDate":"2024-05-28T12:03:32.945188","indexId":"70254483","displayToPublicDate":"2024-03-29T07:01:26","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Evaluation of data collected by Guam Division of Aquatic and Wildlife Resources during population establishment and monitoring of ko'ko' (Hypotaenidia owstoni) on Rota, Commonwealth of the Northern Mariana Islands, and wildlife monitoring datasets on Cocos Island and Guam","docAbstract":"<div class=\"item-page-field\"><div class=\"simple-view-element\"><div class=\"simple-view-element-body\"><span class=\"dont-break-out ng-star-inserted\"><span>Efforts to recover the critically endangered ko’ko’ (Guam rail, Hypotaenidia owstoni) through establishing an experimental population on the island of Rota in the Commonwealth of the Northern Mariana Islands have been ongoing for three decades. The U.S. Geological Survey collaborated with the Guam Division of Aquatic and Wildlife Resources and the Government of Guam to evaluate whether objectives for three projects can be met with current protocols. The aim of this report was to evaluate existing data provided on (1) ko’ko’ population monitoring on Rota; (2) ko’ko’ population establishment on Rota; plus (3) evaluation of three wildlife monitoring datasets for ko’ko’ on Cocos Island, endangered pulattat (Mariana common moorhen, Gallinula chloropus guami) on Guam, and introduced ungulate species on Guam. Data sources included playback call surveys, point count surveys, release events and studbook information, telemetry of radio-marked birds, as well as landcover classes, storm events, and Oceanic Niño Index information to relate environmental factors to ko’ko’ persistence. Major findings were that reaching objectives was constrained by limited data availability and quality. Suggestions for future study include developing detailed protocols for surveys and data collection, standardizing training procedures for observers, improving data organization and archiving, using methods like distance sampling that account for imperfect detection, and collecting additional data on nests and prey resources to understand drivers of ko’ko’ density and survival. While the current data provide a preliminary assessment, improved sampling designs and consistent protocols are needed to fully address objectives related to the recovery of the ko’ko’. The report provides a roadmap for enhancing data collection and analysis to support management decisions and reach conservation translocation goals about this endangered species and related projects.</span></span></div></div></div>","language":"English","publisher":"University of Hawai‘i at Hilo","usgsCitation":"Camp, R.J., Nash, S.A., and Paxton, K.L., 2024, Evaluation of data collected by Guam Division of Aquatic and Wildlife Resources during population establishment and monitoring of ko'ko' (Hypotaenidia owstoni) on Rota, Commonwealth of the Northern Mariana Islands, and wildlife monitoring datasets on Cocos Island and Guam, v. 109, i, 97 p.","productDescription":"i, 97 p.","ipdsId":"IP-158804","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":429323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":429322,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5391"}],"country":"United States","otherGeospatial":"Guam, Mariana Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              144.36831185740562,\n              12.968139662029017\n            ],\n            [\n              146.33486459178124,\n              12.968139662029017\n            ],\n            [\n              146.33486459178124,\n              15.534122254722561\n            ],\n            [\n              144.36831185740562,\n              15.534122254722561\n            ],\n            [\n              144.36831185740562,\n              12.968139662029017\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"109","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":901555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nash, Sarah A B","contributorId":336952,"corporation":false,"usgs":false,"family":"Nash","given":"Sarah","email":"","middleInitial":"A B","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":901556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":901557,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252473,"text":"sir20245008 - 2024 - A comparison of contemporary and historical hydrology and water quality in the foothills and coastal plain of the Arctic National Wildlife Refuge, Arctic Slope, northern Alaska","interactions":[],"lastModifiedDate":"2026-02-02T22:15:49.88748","indexId":"sir20245008","displayToPublicDate":"2024-03-28T09:44:52","publicationYear":"2024","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":"2024-5008","displayTitle":"A Comparison of Contemporary and Historical Hydrology and Water Quality in the Foothills and Coastal Plain of the Arctic National Wildlife Refuge, Arctic Slope, Northern Alaska","title":"A comparison of contemporary and historical hydrology and water quality in the foothills and coastal plain of the Arctic National Wildlife Refuge, Arctic Slope, northern Alaska","docAbstract":"<p>The Arctic National Wildlife Refuge is a unique landscape in northern Alaska with limited water resources, substantial biodiversity of rare and threatened species, as well as oil and gas resources. The region has unique hydrology related to perennial springs, and the formation of large aufeis fields—sheets of ice that grow in the river channels where water reaches the surface in the winter and freezes. This work aims to update our understanding of water resources and water quality in the springs, streams, rivers, and lakes of this region, returning to sites sampled by the U.S. Geological Survey in the 1970s. We resampled eight streams, four springs, and six lakes for hydrological metrics, water quality, and macroinvertebrates, and recalculated flood-frequency metrics for rivers using updated data and modern techniques. Aufeis field melt rates were also assessed for the past several decades. Although the available data preclude trend determinations in most cases, our analysis and comparison to the historical sampling indicates an increase in dissolved ions for streams and springs, faster and earlier aufeis melt, and similar macroinvertebrate populations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245008","usgsCitation":"Koch, J.C., Best, H., Baughman, C., Couvillion, C., Carey, M.P., and Conaway, J., 2024, A comparison of contemporary and historical hydrology and water quality in the foothills and coastal plain of the Arctic National Wildlife Refuge, Arctic Slope, northern Alaska: U.S. Geological Survey Scientific Investigations Report 2024–5008, 24 p., https://doi.org/10.3133/sir20245008.","productDescription":"Report: viii, 24 p.; 2 Data Releases; Correction Note","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-151990","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":499422,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116206.htm","linkFileType":{"id":5,"text":"html"}},{"id":498378,"rank":8,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2024/5008/correctionNote.txt","text":"Correction note","size":"1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":430506,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7KK98VP","text":"USGS data release","description":"USGS data release","linkHelpText":"Rasters of observed aufeis deposits within rivers of the 1002 Area based on historical Landsat imagery, 1985-2022"},{"id":430429,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X34VHM","text":"USGS data release","description":"USGS data release","linkHelpText":"Macroinvertebrates from streams and springs in the 1002 region of the Arctic National Wildlife Refuge, Alaska, 2021"},{"id":427077,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5008/sir20245008.XML"},{"id":427076,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5008/images"},{"id":427075,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245008/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5008"},{"id":427074,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5008/sir20245008.pdf","text":"Report","size":"12.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5008"},{"id":427073,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5008/sir20245008.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -147.35991062435545,\n              70.47943246978403\n            ],\n            [\n              -147.35991062435545,\n              68.94103321326239\n            ],\n            [\n              -141.60307468685548,\n              68.94103321326239\n            ],\n            [\n              -141.60307468685548,\n              70.47943246978403\n            ],\n            [\n              -147.35991062435545,\n              70.47943246978403\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Comparing Hydrology and Water Quality Between the Historical and Contemporary Periods</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2024-03-28","noUsgsAuthors":false,"publicationDate":"2024-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":897244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Best, Heather 0000-0003-0764-3060","orcid":"https://orcid.org/0000-0003-0764-3060","contributorId":225684,"corporation":false,"usgs":true,"family":"Best","given":"Heather","email":"","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":897245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":897246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Couvillion, Charles 0009-0006-6187-8708","orcid":"https://orcid.org/0009-0006-6187-8708","contributorId":334191,"corporation":false,"usgs":true,"family":"Couvillion","given":"Charles","email":"","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":897247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":897248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conaway, Jeff 0000-0002-3036-592X","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":214226,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeff","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":897249,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252583,"text":"70252583 - 2024 - Performance-based earthquake early warning for tall buildings","interactions":[],"lastModifiedDate":"2024-05-07T14:38:41.09501","indexId":"70252583","displayToPublicDate":"2024-03-28T06:52:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Performance-based earthquake early warning for tall buildings","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>The ShakeAlert Earthquake Early Warning (EEW) system aims to issue an advance warning to residents on the West Coast of the United States seconds before the ground shaking arrives, if the expected ground shaking exceeds a certain threshold. However, residents in tall buildings may experience much greater motion due to the dynamic response of the buildings. Therefore, there is an ongoing effort to extend ShakeAlert to include the contribution of building response to provide a more accurate estimation of the expected shaking intensity for tall buildings. Currently, the supposedly ideal solution of analyzing detailed finite element models of buildings under predicted ground-motion time histories is not theoretically or practically feasible. The authors have recently investigated existing simple methods to estimate peak floor acceleration (PFA) and determined these simple formulas are not practically suitable. Instead, this article explores another approach by extending the Pacific Earthquake Engineering Research Center (PEER) performance-based earthquake engineering (PBEE) to EEW, considering that every component involved in building response prediction is uncertain in the EEW scenario. While this idea is not new and has been proposed by other researchers, it has two shortcomings: (1) the simple beam model used for response prediction is prone to modeling uncertainty, which has not been quantified, and (2) the ground motions used for probabilistic demand models are not suitable for EEW applications. In this article, we address these two issues by incorporating modeling errors into the parameters of the beam model and using a new set of ground motions, respectively. We demonstrate how this approach could practically work using data from a 52-story building in downtown Los Angeles. Using the criteria and thresholds employed by previous researchers, we show that if peak ground acceleration (PGA) is accurately estimated, this approach can predict the expected level of human comfort in tall buildings.</div></div></div>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930241236762","usgsCitation":"Ghahari, S., Sargsyan, K., Parker, G.A., Swensen, D., Celebi, M., Haddadi, H., and Taciroglu, E., 2024, Performance-based earthquake early warning for tall buildings: Earthquake Spectra, v. 40, no. 2, p. 1425-1451, https://doi.org/10.1177/87552930241236762.","productDescription":"27 p.","startPage":"1425","endPage":"1451","ipdsId":"IP-155764","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489212,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2372960","text":"External Repository"},{"id":427234,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghahari, S. Farid","contributorId":296977,"corporation":false,"usgs":false,"family":"Ghahari","given":"S. Farid","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":897615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sargsyan, Khachik","contributorId":296978,"corporation":false,"usgs":false,"family":"Sargsyan","given":"Khachik","email":"","affiliations":[{"id":64263,"text":"Sandia Laboratories","active":true,"usgs":false}],"preferred":false,"id":897616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":897617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swensen, Dan","contributorId":296724,"corporation":false,"usgs":false,"family":"Swensen","given":"Dan","email":"","affiliations":[{"id":35312,"text":"CGS-CSMIP","active":true,"usgs":false}],"preferred":false,"id":897618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":897619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haddadi, Hamid","contributorId":296690,"corporation":false,"usgs":false,"family":"Haddadi","given":"Hamid","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":897620,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taciroglu, Ertugrul","contributorId":296979,"corporation":false,"usgs":false,"family":"Taciroglu","given":"Ertugrul","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":897621,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70252472,"text":"ofr20241014 - 2024 - Assessing influence from wastewater treatment facilities on Glorieta Creek and the Pecos River within Pecos National Historical Park, New Mexico, February–October 2022","interactions":[],"lastModifiedDate":"2024-06-21T19:11:07.137467","indexId":"ofr20241014","displayToPublicDate":"2024-03-27T10:44:49","publicationYear":"2024","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":"2024-1014","displayTitle":"Assessing Influence from Wastewater Treatment Facilities on Glorieta Creek and the Pecos River Within Pecos National Historical Park, New Mexico, February–October 2022","title":"Assessing influence from wastewater treatment facilities on Glorieta Creek and the Pecos River within Pecos National Historical Park, New Mexico, February–October 2022","docAbstract":"<p>The Pecos National Historical Park protects 2.9 miles of the Pecos River and part of Glorieta Creek within the park boundaries. Updated water-quality data can assist resource managers in determining if effluent from two nearby wastewater treatment plants (WWTPs) is affecting the quality of the water in the Pecos River and Glorieta Creek within the park. Water samples were collected four times in 2022 at two WWTP outfalls, two locations on Glorieta Creek, and two locations on the Pecos River. Water quality parameters (dissolved oxygen, water temperature, pH, turbidity, specific conductance) were measured in the field, and samples were collected and analyzed for major ions, trace elements, rare earth elements, nutrients, bacteria, and per- and polyfluoroalkyl substances (PFAS).</p><p>Specific conductance values in all samples collected from Glorieta Creek exceeded the New Mexico Surface Water Quality Standard (NMWQS) of 300 microsiemens per centimeter at 25 degrees Celsius. Concentrations of dissolved oxygen in three samples collected from Glorieta Creek and one sample for the Pecos WWTP did not meet the standard for high-quality cold-water use. Concentrations of <i>Escherichia coli</i> in samples from the Pecos WWTP exceeded the NMWQS of 235 colony-forming units per 100 milliliters during every sampling event. Concentrations of <i>E. coli</i> in samples collected from two sites on Glorieta Creek in August exceeded the NMWQS.</p><p>The chemical signature of water from Glorieta Creek indicated groundwater and (or) septic system contributions. Water samples collected from the Pecos River all had similar chemical signatures of calcium-bicarbonate type. Although concentrations of several trace elements were higher in samples from Glorieta Creek than in samples from the Pecos River, no concentrations exceeded the drinking-water standards. No concentrations exceeded aquatic life standards except for copper concentrations in two samples from the downstream location on Glorieta Creek. The trace element signature and the gadolinium anomalies in the WWTP samples indicate anthropogenic contributions.</p><p>Eleven of the 28 PFAS compounds analyzed were detected in samples during this study, with the treated wastewater effluent samples having the highest total PFAS concentrations. The total PFAS concentrations in samples from Glorieta Creek decreased by an order of magnitude as the creek flowed downstream. At the downstream site on the Pecos River, there was only one sample that had a detection of PFAS.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241014","issn":"2331-1258","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Wilkins, K., Beisner, K.R., and Travis, R., 2024, Assessing influence from wastewater treatment facilities on Glorieta Creek and the Pecos River within Pecos National Historical Park, New Mexico, February–October 2022: U.S. Geological Survey Open-File Report 2024–1014, 29 p., https://doi.org/10.3133/ofr20241014.","productDescription":"Report: viii, 29 p; 1 Appendix; Dataset","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-154223","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":427108,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"- USGS National Water Information System database"},{"id":427110,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2024/1014/ofr20241014_app01.csv","text":"Appendix 1","size":"22.5 KB","linkFileType":{"id":7,"text":"csv"},"description":"OFR 2024-1014 appendix 1 CVS"},{"id":427107,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2024/1014/ofr20241014_app01.xlsx","text":"Appendix 1","size":"35.8 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2024-1014 appendix 1 XLSX","linkHelpText":"- Water Chemistry Data for Samples Collected by the U.S.  Geological Survey from Pecos National Historical Park in 2022"},{"id":427103,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1014/images"},{"id":427105,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1014/ofr20241014.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1014 XML"},{"id":427179,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241014/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1014 HTML"},{"id":427104,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1014/ofr20241014.pdf","text":"Report","size":"1.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1014"},{"id":427102,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1014/coverthb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Glorieta Creek, Pecos National Historical Park, Pecos River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.81724909872004,\n              35.60709644922906\n            ],\n            [\n              -105.81724909872004,\n              35.48949638702851\n            ],\n            [\n              -105.62593291123609,\n              35.48949638702851\n            ],\n            [\n              -105.62593291123609,\n              35.60709644922906\n            ],\n            [\n              -105.81724909872004,\n              35.60709644922906\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a><br>U.S. Geological Survey<br>6700 Edith Blvd. NE<br>Albuquerque, NM 87113<br></p><p><a id=\"LPlnk103145\" class=\"OWAAutoLink\" title=\"https://pubs.usgs.gov/contact\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Aqueous Chemistry</li><li>Quality Assurance Samples</li><li>Influence From Wastewater Treatment Facilities on Glorieta Creek and the Pecos River Within Pecos National Historical Park</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-03-27","noUsgsAuthors":false,"publicationDate":"2024-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkins, K. 0000-0002-8096-0153","orcid":"https://orcid.org/0000-0002-8096-0153","contributorId":335027,"corporation":false,"usgs":true,"family":"Wilkins","given":"K.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beisner, K. R. 0000-0002-2077-6899","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":30052,"corporation":false,"usgs":true,"family":"Beisner","given":"K.","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Travis, R. E. 0000-0001-8601-7791 rtravis@usgs.gov","orcid":"https://orcid.org/0000-0001-8601-7791","contributorId":206438,"corporation":false,"usgs":true,"family":"Travis","given":"R.","email":"rtravis@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897242,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70269311,"text":"70269311 - 2024 - Integrated distance sampling models for simple point counts","interactions":[],"lastModifiedDate":"2025-07-18T14:49:39.054391","indexId":"70269311","displayToPublicDate":"2024-03-27T09:47:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Integrated distance sampling models for simple point counts","docAbstract":"<p><span>Point counts (PCs) are widely used in biodiversity surveys but, despite numerous advantages, simple PCs suffer from several problems: detectability, and therefore abundance, is unknown; systematic spatiotemporal variation in detectability yields biased inferences, and unknown survey area prevents formal density estimation and scaling-up to the landscape level. We introduce integrated distance sampling (IDS) models that combine distance sampling (DS) with simple PC or detection/nondetection (DND) data to capitalize on the strengths and mitigate the weaknesses of each data type. Key to IDS models is the view of simple PC and DND data as aggregations of latent DS surveys that observe the same underlying density process. This enables the estimation of separate detection functions, along with distinct covariate effects, for all data types. Additional information from repeat or time-removal surveys, or variable survey duration, enables the separate estimation of the availability and perceptibility components of detectability with DS and PC data. IDS models reconcile spatial and temporal mismatches among data sets and solve the above-mentioned problems of simple PC and DND data. To fit IDS models, we provide JAGS code and the new “</span><span>IDS()</span><span>” function in the R package&nbsp;</span><i><span>unmarked</span></i><span>. Extant citizen-science data generally lack the information necessary to adjust for detection biases, but IDS models address this shortcoming, thus greatly extending the utility and reach of these data. In addition, they enable formal density estimation in hybrid designs, which efficiently combine DS with distance-free, point-based PC or DND surveys. We believe that IDS models have considerable scope in ecology, management, and monitoring.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4292","usgsCitation":"Kery, M., Royle, A., Hallman, T., Robinson, D., Strebel, N., and Kellner, K.F., 2024, Integrated distance sampling models for simple point counts: Ecology, v. 105, no. 5, e4292, 14 p., https://doi.org/10.1002/ecy.4292.","productDescription":"e4292, 14 p.","ipdsId":"IP-147069","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4292","text":"Publisher Index Page"},{"id":492538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kery, Marc","contributorId":168361,"corporation":false,"usgs":false,"family":"Kery","given":"Marc","affiliations":[{"id":12551,"text":"Swiss Ornithological Institute, Sempach, Switzerland","active":true,"usgs":false}],"preferred":false,"id":943421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":943422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hallman, Tyler","contributorId":358288,"corporation":false,"usgs":false,"family":"Hallman","given":"Tyler","affiliations":[{"id":85597,"text":"Swiss Ornithological Institute; University of Charlotte; Bangor University","active":true,"usgs":false}],"preferred":false,"id":943423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Doug","contributorId":358289,"corporation":false,"usgs":false,"family":"Robinson","given":"Doug","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":943424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strebel, Nicolas","contributorId":358290,"corporation":false,"usgs":false,"family":"Strebel","given":"Nicolas","affiliations":[{"id":67146,"text":"Swiss Ornithological Institute","active":true,"usgs":false}],"preferred":false,"id":943425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kellner, Kenneth F.","contributorId":310338,"corporation":false,"usgs":false,"family":"Kellner","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":943426,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252039,"text":"sir20235124 - 2024 - Spatial distribution of API gravity and gas/oil ratios for petroleum accumulations in Upper Cretaceous strata of the San Miguel, Olmos, and Escondido Formations of the south Texas Maverick Basin—Implications for petroleum migration and charge history","interactions":[],"lastModifiedDate":"2026-01-30T19:20:24.076021","indexId":"sir20235124","displayToPublicDate":"2024-03-26T12:45:00","publicationYear":"2024","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":"2023-5124","displayTitle":"Spatial Distribution of API Gravity and Gas/Oil Ratios for Petroleum Accumulations in Upper Cretaceous Strata of the San Miguel, Olmos, and Escondido Formations of the South Texas Maverick Basin—Implications for Petroleum Migration and Charge History","title":"Spatial distribution of API gravity and gas/oil ratios for petroleum accumulations in Upper Cretaceous strata of the San Miguel, Olmos, and Escondido Formations of the south Texas Maverick Basin—Implications for petroleum migration and charge history","docAbstract":"<p>The Maverick Basin of south Texas is currently undergoing active exploration and production of gas and oil from tight sandstone reservoirs. The most productive tight sandstones in the basin are in the Upper Cretaceous San Miguel, Olmos, and Escondido Formations. These units are second only to the Eagle Ford Shale in terms of cumulative production volumes. The structural history of the Maverick Basin, from rifting to subsidence to exhumation, has had a profound effect on the characteristics of these reservoirs and the petroleum resources contained therein. This U.S. Geological Survey review of the production history of these strata reflects a recent shift from conventional production to horizontal drilling (unconventional) that exploits low permeability reservoirs in previously overlooked areas of existing oil and gas fields in southern Texas, typically outside of established field boundaries.</p><p>To investigate the physical properties of the Maverick Basin hydrocarbon accumulations, this case study compiled American Petroleum Institute (API) gravity measurements and calculated cumulative gas/oil ratios (GOR) for thousands of producing wells from the San Miguel, Olmos, and Escondido Formations. Maps were generated from the compiled well production data to show the spatial heterogeneity of API gravity and GOR values for the three formations within the Maverick Basin and immediately outside the basin to the northeast. Within the Maverick Basin, the spatial patterns of API gravity values indicate lighter oils downdip towards the southern basin edge. GOR values indicative of wet and dry gases within the basin are seen interspersed, with values that correspond to black and heavy oils. Differences in the spatial patterns of the petroleum properties within the Maverick Basin are interpreted as effects of Eocene basin inversion caused by Laramide orogenic deformation, and the resulting reservoir exhumation of basin strata. East of the Maverick Basin, spatial distributions of API gravity and GOR values show progressively heavier oils updip to the northwest, grading to dry gases downdip to the southeast, which correlates to the oil and gas windows of the underlying Eagle Ford Shale.</p><p>Correlation of API gravity and GOR values from the San Miguel, Olmos, and Escondido Formations with thermal maturity data from the Eagle Ford Shale suggests that the Eagle Ford Shale is the petroleum source, and that petroleum migration was approximately vertical for areas to the east of the Maverick Basin. The discontinuity of API gravity and GOR properties within the Maverick Basin implies a complex petroleum charge history, possibly involving the remigration of petroleum and the addition of petroleum from other source intervals in Mexico, to the southwest. Depressurization of exhumed, overpressured reservoirs of the San Miguel, Olmos, and Escondido Formations can explain the intermittent occurrence of gas production throughout the southern Maverick Basin by exsolution of gas from formation brines and the resulting dry gas flushing of hydrocarbon-charged reservoirs. The introduction of dry gas through flushing can, in turn, explain why the patterns of API gravity and GOR values are so dissimilar in the Maverick Basin. This process has implications for possible future production of unconventional resources from undiscovered tight-gas reservoirs in strata of the San Miguel, Olmos, and Escondido Formations, and a different approach to petroleum exploration may be needed in the Maverick Basin relative to exploration techniques applied in other basins within the northern Gulf of Mexico.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235124","programNote":"Energy Resources Program","usgsCitation":"Doolan, C.A., Craddock, W.H., Buursink, M.L., Hatcherian, J.J., and Cahan, S.M., 2024, Spatial distribution of API gravity and gas/oil ratios for petroleum accumulations in Upper Cretaceous strata of the San Miguel, Olmos, and Escondido Formations of the south Texas Maverick Basin—Implications for petroleum migration and charge history: U.S. Geological Survey Scientific Investigations Report 2023–5124, 24 p., https://doi.org/10.3133/sir20235124.","productDescription":"iv, 24 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-133374","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":426494,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5124/coverthb2.jpg"},{"id":426498,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5124/sir20235124.XML"},{"id":426497,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5124/images/"},{"id":426496,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235124/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":426495,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5124/sir20235124.pdf","text":"Report","size":"2.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5124"},{"id":499389,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116208.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":"Maverick Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -101.09222334413582,\n              30.33527822084403\n            ],\n            [\n              -101.09222334413582,\n              26.628154158079013\n            ],\n            [\n              -95.81878584413593,\n              26.628154158079013\n            ],\n            [\n              -95.81878584413593,\n              30.33527822084403\n            ],\n            [\n              -101.09222334413582,\n              30.33527822084403\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/geology-energy-and-minerals-science-center\" data-mce-href=\"https://www.usgs.gov/centers/geology-energy-and-minerals-science-center\">Geology, Energy &amp; Minerals Science Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Mail Stop 954<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geologic Setting</li><li>Methods for API Gravity and Gas/Oil Ratio (GOR) Mapping</li><li>Resulting Spatial Patterns of Petroleum Properties</li><li>Discussion</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-03-26","noUsgsAuthors":false,"publicationDate":"2024-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Doolan, Colin A. 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":3046,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":896306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":896307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":896308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":896309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cahan, Steven M. 0000-0002-4776-3668","orcid":"https://orcid.org/0000-0002-4776-3668","contributorId":205929,"corporation":false,"usgs":true,"family":"Cahan","given":"Steven M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":896310,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252216,"text":"sir20245010 - 2024 - Evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes region, New York, 2019 and 2020","interactions":[],"lastModifiedDate":"2026-02-02T22:18:32.06379","indexId":"sir20245010","displayToPublicDate":"2024-03-26T10:10:00","publicationYear":"2024","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":"2024-5010","displayTitle":"Evaluation of Sensors for Continuous Monitoring of Harmful Algal Blooms in the Finger Lakes Region, New York, 2019 and 2020","title":"Evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes region, New York, 2019 and 2020","docAbstract":"<p>In response to the increasing frequency of cyanobacterial harmful algal blooms (CyanoHABs) in the Finger Lakes region of New York State, a pilot study by the U.S. Geological Survey, in collaboration with the New York State Department of Environmental Conservation, was conducted to enhance CyanoHAB monitoring and understanding. High-frequency sensors were deployed on open water monitoring-station platforms at Seneca Lake in 2019–20, at Owasco Lake in 2019–20, and at Skaneateles Lake in 2019. One of the goals of this study was to evaluate the ability of in-place sensors to make representative measurements of dissolved organic matter, nutrients, and algal pigments (as indicators of phytoplankton biomass) while collecting routine field parameters (water temperature, specific conductance, pH, dissolved oxygen, turbidity, weather, and light) to provide additional information about environmental conditions.</p><p>Despite challenges like power issues and sensor fouling, the sensors performed well overall. However, correlation analyses between sensor readings and laboratory measurements revealed variable performance. Results indicate the relation between the fluorescent dissolved organic matter sensor and laboratory-measured dissolved organic carbon was weak at all study lakes. The nitrate sensors can be sensitive to ambient temperature and have a substantial power requirement, and the relation between sensor- and laboratory-measured nitrate values differed among lakes. The orthophosphate sensors, which were complex and prone to data loss, yielded results that were difficult to interpret because orthophosphate detections are rare in the study lakes. The multichannel fluorometer was also complex to use and required several unique procedures for its operation.</p><p>Chlorophyll measurements from the fluorometers correlated moderately well with laboratory-measured chlorophyll-<i>a</i>, although relations with total phytoplankton biovolume were weaker. Relations between phycocyanin concentration measurements from the dual-channel fluorometers and cyanobacterial biovolume were not significant; however, the cyanobacterial biovolume correlation was moderately strong with chlorophyll contribution from cyanobacteria measurements from the multichannel fluorometer. Of all collected parameters, water temperature was among the strongest correlated with chlorophyll-<i>a</i>, total phytoplankton biovolume, and cyanobacterial biovolume.</p><p>Stepwise regression analysis was used to identify the best parameters for modeling variance in laboratory measures of phytoplankton biomass. This analysis included factors such as chlorophyll fluorescence, pH, water temperature, and others, which varied by lake. Overall, the models had limited explanatory power for chlorophyll-<i>a</i> and other biovolumes, possibly due to the absence of CyanoHABs at the open-water monitoring locations. Multivariate models did not outperform simple fluorescence-based models. Notably, turbidity was a more significant indicator of cyanobacterial biovolume variability than phycocyanin from dual-channel fluorometers.</p><p>The study concludes that while single and multivariate models based on sensor data are useful, they did not explain any more variance than fluorescence-based models. Broader data collection, including more CyanoHAB events, is necessary to refine these models. Integrating machine learning could leverage large, complex datasets to improve CyanoHAB predictions, thereby enhancing the management and understanding of these blooms.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245010","usgsCitation":"Johnston, B.D., Finkelstein, K.M., Gifford, S.R., Stouder, M.D., Nystrom, E.A., Savoy, P.R., Rosen, J.J., and Jennings, M.B., 2024, Evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes region, New York, 2019 and 2020: U.S. Geological Survey Scientific Investigations Report 2024–5010, 54 p., https://doi.org/10.3133/sir20245010.","productDescription":"Report: vii, 54 p.; 2 Data Releases","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151193","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":426806,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TP9T1D","text":"USGS data release","linkHelpText":"Phytoplankton data from Owasco, Seneca, and Skaneateles Lakes, Finger Lakes region, New York, 2019–2020 (ver. 2.1, June 2023)"},{"id":426805,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9046YOS","text":"USGS data release","linkHelpText":"Field data for an evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes, New York, 2019 and 2020"},{"id":426804,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5010/images/"},{"id":426803,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5010/sir20245010.XML"},{"id":426802,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245010/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5010 HTML"},{"id":499423,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116207.htm","linkFileType":{"id":5,"text":"html"}},{"id":426800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5010/coverthb.jpg"},{"id":426801,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5010/sir20245010.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5010 PDF"}],"country":"United States","state":"New York","otherGeospatial":"Finger Lakes Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.18392460037663,\n              43.28424086245511\n            ],\n            [\n              -78.18392460037663,\n              42.10263922827107\n            ],\n            [\n              -76.00088907460236,\n              42.10263922827107\n            ],\n            [\n              -76.00088907460236,\n              43.28424086245511\n            ],\n            [\n              -78.18392460037663,\n              43.28424086245511\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","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/ny-water\n\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Description of Study Area</li><li>Monitoring-Station Platform Design</li><li>Methods</li><li>Time Series Data Quality Assurance and Quality Control</li><li>Discrete Sample Quality Assurance and Quality Control</li><li>Lessons Learned</li><li>Sensor Performance and Evaluation Discussion</li><li>Informing Future Monitoring and Research Approaches</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-03-26","noUsgsAuthors":false,"publicationDate":"2024-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnston, Brett D. 0000-0003-2991-4976","orcid":"https://orcid.org/0000-0003-2991-4976","contributorId":206233,"corporation":false,"usgs":true,"family":"Johnston","given":"Brett","email":"","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finkelstein, Kaitlyn M. 0000-0003-1588-3312","orcid":"https://orcid.org/0000-0003-1588-3312","contributorId":202727,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Kaitlyn","email":"","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gifford, Sabina R. 0000-0002-0724-4986","orcid":"https://orcid.org/0000-0002-0724-4986","contributorId":310415,"corporation":false,"usgs":true,"family":"Gifford","given":"Sabina","email":"","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stouder, Michael D.W. 0000-0002-0446-2574","orcid":"https://orcid.org/0000-0002-0446-2574","contributorId":301805,"corporation":false,"usgs":true,"family":"Stouder","given":"Michael","middleInitial":"D.W.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Savoy, Philip 0000-0002-6075-837X","orcid":"https://orcid.org/0000-0002-6075-837X","contributorId":300288,"corporation":false,"usgs":true,"family":"Savoy","given":"Philip","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":896964,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosen, Joshua J. 0000-0001-5420-033X","orcid":"https://orcid.org/0000-0001-5420-033X","contributorId":332009,"corporation":false,"usgs":true,"family":"Rosen","given":"Joshua","email":"","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896962,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jennings, Matthew B. 0000-0002-3783-5875 mbjennin@usgs.gov","orcid":"https://orcid.org/0000-0002-3783-5875","contributorId":334696,"corporation":false,"usgs":true,"family":"Jennings","given":"Matthew","email":"mbjennin@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896963,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70252572,"text":"70252572 - 2024 - Relation between the relative abundance and collapse of Aphanizomenon flos-aquae and microbial antagonism in Upper Klamath Lake, Oregon","interactions":[],"lastModifiedDate":"2024-04-23T15:20:27.116817","indexId":"70252572","displayToPublicDate":"2024-03-26T06:46:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1619,"text":"FEMS Microbiology Ecology","onlineIssn":"1574-6941","printIssn":"0168-6496","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Relation between the relative abundance and collapse of <i>Aphanizomenon flos-aquae</i> and microbial antagonism in Upper Klamath Lake, Oregon","title":"Relation between the relative abundance and collapse of Aphanizomenon flos-aquae and microbial antagonism in Upper Klamath Lake, Oregon","docAbstract":"<p class=\"chapter-para\"><i>Aphanizomenon flos-aquae</i><span>&nbsp;</span>(AFA) is the dominant filamentous cyanobacterium that develops into blooms in Upper Klamath Lake, Oregon each year. During AFA bloom and collapse, ecosystem conditions for endangered Lost River and shortnose suckers deteriorate, thus motivating the need to identify processes that limit AFA abundance and decline. Here we investigate the relations between AFA and other members of the microbial community (photosynthetic and non-photosynthetic bacteria and archaea), how those relations impact abundance and collapse of AFA, and the types of microbial conditions that suppress AFA. We found significant spatial variation in AFA relative abundance during the 2016 bloom period using 16S rRNA sequencing. The Pelican Marina (PM) site had the lowest AFA relative abundance, and this was coincident with increased relative abundance of<span>&nbsp;</span><i>Candidatus</i><span>&nbsp;</span>Sericytochromatia<i>, Flavobacterium</i>, and<span>&nbsp;</span><i>Rheinheimera</i>, some of which are known AFA antagonists. The AFA collapse coincided with phosphorus limitation relative to nitrogen and the increased relative abundance of<span>&nbsp;</span><i>Cyanobium</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Candidatus</i><span>&nbsp;</span>Sericytochromatia, which outcompete AFA when dissolved inorganic nitrogen is available. The data collected in this study indicate the importance of dissolved inorganic nitrogen combined with microbial community structure in suppressing AFA abundance.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/femsec/fiae043","usgsCitation":"Underwood, J.C., Hall, N., Mumford, A.C., Harvey, R.W., Bliznik, P.A., and Jeanis, K.M., 2024, Relation between the relative abundance and collapse of Aphanizomenon flos-aquae and microbial antagonism in Upper Klamath Lake, Oregon: FEMS Microbiology Ecology, v. 100, no. 5, fiae043, 17 p., https://doi.org/10.1093/femsec/fiae043.","productDescription":"fiae043, 17 p.","ipdsId":"IP-158523","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":440040,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/femsec/fiae043","text":"Publisher Index Page"},{"id":427201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.13875156377131,\n              42.60410392580064\n            ],\n            [\n              -122.13875156377131,\n              42.22167407870424\n            ],\n            [\n              -121.75955528186908,\n              42.22167407870424\n            ],\n            [\n              -121.75955528186908,\n              42.60410392580064\n            ],\n            [\n              -122.13875156377131,\n              42.60410392580064\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"100","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Underwood, Jennifer C. 0000-0002-2702-0410 jcunder@usgs.gov","orcid":"https://orcid.org/0000-0002-2702-0410","contributorId":294555,"corporation":false,"usgs":true,"family":"Underwood","given":"Jennifer","email":"jcunder@usgs.gov","middleInitial":"C.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":897575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Natalie Celeste 0000-0002-6448-162X","orcid":"https://orcid.org/0000-0002-6448-162X","contributorId":245015,"corporation":false,"usgs":true,"family":"Hall","given":"Natalie Celeste","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":897576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":897577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Ronald W. 0000-0002-2791-8503","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":294558,"corporation":false,"usgs":false,"family":"Harvey","given":"Ronald","email":"","middleInitial":"W.","affiliations":[{"id":63603,"text":"U.S. Geological Survey, Water Mission Area, ESPD","active":true,"usgs":false}],"preferred":false,"id":897578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bliznik, Paul Anthony 0000-0001-7461-8645","orcid":"https://orcid.org/0000-0001-7461-8645","contributorId":297187,"corporation":false,"usgs":true,"family":"Bliznik","given":"Paul","email":"","middleInitial":"Anthony","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":897579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jeanis, Kaitlyn Michelle 0000-0003-0694-6115","orcid":"https://orcid.org/0000-0003-0694-6115","contributorId":330178,"corporation":false,"usgs":true,"family":"Jeanis","given":"Kaitlyn","email":"","middleInitial":"Michelle","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":897580,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252508,"text":"70252508 - 2024 - Establishment of terrestrial mammals on former reservoir beds following large dam removal on the Elwha River, Washington, USA","interactions":[],"lastModifiedDate":"2024-03-27T11:43:31.996794","indexId":"70252508","displayToPublicDate":"2024-03-26T06:40:39","publicationYear":"2024","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":"Establishment of terrestrial mammals on former reservoir beds following large dam removal on the Elwha River, Washington, USA","docAbstract":"<div class=\"JournalAbstract\"><p>Terrestrial wildlife species are important yet often overlooked taxa in the recovery of ecosystems following dam removal. Their presence can shape ecosystem recovery, signal restoration of ecosystem function, and influence food web dynamics and nutrient transfer. We used camera traps to examine seasonal use of two former reservoir beds and an upstream reference reach by the mammalian community following the removal of two large dams on the Elwha River, Washington, USA. For certain taxa, we compared current species use to data collected prior to dam removal. Camera traps revealed use by at least fifteen mammal species, including but not limited to American black bear (<i>Ursus americanus</i>), Columbian black-tailed deer (<i>Odocoileus hemionus columbianus</i>), Roosevelt elk (<i>Cervus elaphus roosevelti</i>), puma (<i>Puma concolor</i>), coyotes (<i>Canis latrans</i>), bobcats (<i>Lynx rufus</i>), and snowshoe hares (<i>Lepus americanus</i>). Coyotes were found mostly lower in the watershed outside the Olympic National Park boundary, while other species were distributed throughout the restoration area. We did not see major differences in species composition between the restoration areas and the upstream reference reach, though number of detections across study reaches differed for most species. Unlike previous findings, black bears were observed across all seasons in this study, suggesting a shift in seasonal use since dam removal. Full restoration of the terrestrial wildlife community could take decades to unfold, but early patterns demonstrate rapid establishment and use by wildlife on new riparian surfaces that are expected to continue to evolve with restoration of fish and vegetation communities.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2024.1266474","usgsCitation":"McCaffery, R.M., Cendejas-Zarelli, S., Goodwin, K.R., Happe, P.J., Jenkins, K., and Sager-Fradkin, K., 2024, Establishment of terrestrial mammals on former reservoir beds following large dam removal on the Elwha River, Washington, USA: Frontiers in Ecology and Evolution, v. 12, 1266474, 10 p., https://doi.org/10.3389/fevo.2024.1266474.","productDescription":"1266474, 10 p.","ipdsId":"IP-155745","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":440044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3389/fevo.2024.1266474","text":"Publisher Index Page"},{"id":427132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washingotn","otherGeospatial":"Elwha River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.1836406950197,\n              48.270985106696\n            ],\n            [\n              -124.1836406950197,\n              47.18277681883529\n            ],\n            [\n              -122.98469779452492,\n              47.18277681883529\n            ],\n            [\n              -122.98469779452492,\n              48.270985106696\n            ],\n            [\n              -124.1836406950197,\n              48.270985106696\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":897353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cendejas-Zarelli, Sara","contributorId":257040,"corporation":false,"usgs":false,"family":"Cendejas-Zarelli","given":"Sara","email":"","affiliations":[{"id":39680,"text":"Lower Elwha Klallam Tribe","active":true,"usgs":false}],"preferred":false,"id":897354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodwin, Katy R 0000-0003-3991-3141","orcid":"https://orcid.org/0000-0003-3991-3141","contributorId":334647,"corporation":false,"usgs":true,"family":"Goodwin","given":"Katy","email":"","middleInitial":"R","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":897355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Happe, Patricia J.","contributorId":177053,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":897356,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenkins, Kurt 0000-0003-1415-6607","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":221472,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":897357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sager-Fradkin, Kimberly A.","contributorId":257041,"corporation":false,"usgs":false,"family":"Sager-Fradkin","given":"Kimberly A.","affiliations":[],"preferred":false,"id":897358,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252248,"text":"sir20245011 - 2024 - A conceptual site model of contaminant transport pathways from the Bremerton Naval Complex to Sinclair Inlet, Washington, 2011–21","interactions":[],"lastModifiedDate":"2026-02-02T22:20:20.744408","indexId":"sir20245011","displayToPublicDate":"2024-03-26T05:50:08","publicationYear":"2024","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":"2024-5011","displayTitle":"A Conceptual Site Model of Contaminant Transport Pathways from the Bremerton Naval Complex to Sinclair Inlet, Washington, 2011–21","title":"A conceptual site model of contaminant transport pathways from the Bremerton Naval Complex to Sinclair Inlet, Washington, 2011–21","docAbstract":"<p>Historical activities on the Bremerton Naval Complex (BNC) in Puget Sound, Washington, have resulted in Sinclair Inlet sediments with elevated concentrations of contaminants, including organic contaminants such as polychlorinated biphenyls and trace elements including mercury. Six U.S. Geological Survey–U.S. Navy datasets have been collected since the last major assessment, in 2013, of soil and groundwater contaminant transport pathways and mercury loading estimates from the BNC to Sinclair Inlet. These include:</p><ol><li>mercury isotope analysis to support sourcing of mercury in Sinclair Inlet;</li><li>mercury sampling within the dry dock systems;</li><li>nearshore thermal surveys to identify potential groundwater discharge locations to Sinclair Inlet;</li><li>time-series monitoring in nearshore wells to understand the inland extent and dynamics of the tidal mixing zone;</li><li>tidal studies of mercury in nearshore monitoring wells in an area of contaminated fill material called Site 1; and</li><li>a spatial survey of trace elements and other parameters in nearshore monitoring wells, pore water, seeps, surface water, and sediment along unwalled shorelines in the western part of the BNC.</li></ol><p>The results were incorporated into an updated Conceptual Site Model and used to update contaminant load estimates from the terrestrial BNC to Sinclair Inlet. The results from these studies provide data to the U.S. Navy to support prioritization of on-going remediation actions to manage contamination on the BNC that reduce potential impacts to Sinclair Inlet sediment, surface water, and fish and shellfish tissue.</p><p>Mercury isotope analysis of surface sediments and particulate material indicated that a similar industrial mercury profile is present throughout Puget Sound, including terrestrial and marine BNC samples and in other Sinclair Inlet sediments and persists across regions with low and elevated mercury concentrations. Two sources of mercury at the BNC are Sites 1 and 2 subsurface soils/fill material, with total mercury concentrations in particulates collected from the bottom of monitoring wells drilled in these materials ranging from 18,000 to 44,000 nanograms per gram (as compared to the Washington State Marine Sediment Cleanup Screening Level of 590 nanograms per gram).</p><p>Contaminants are transported from the terrestrial BNC to Sinclair Inlet via three primary pathways, (1) stormwater outfalls, (2) dry dock discharges, and (3) direct discharge along unwalled shorelines.</p><p>Previous loading estimates (based on filtered total mercury) ranked stormwater outfalls, particularly outfall PSNS015 in Site 2 soils, as the largest soil and groundwater contaminant transport pathway from the terrestrial BNC to Sinclair Inlet. Updated loading estimates in this report suggest that the dry dock systems may be a larger pathway of mercury from the terrestrial BNC to Sinclair Inlet than previously thought, within the same order of magnitude as the PSNS015 storm-drain system.</p><p>Trace-element loads via direct shoreline discharge are difficult to estimate due to the large and dynamic tidal mixing zone of groundwater and seawater in the nearshore along unwalled shorelines. However, current best estimated ranges suggest that direct shoreline discharge is one of the three main pathways and may contribute smaller mercury loads than the stormwater and the dry dock systems. Along unwalled shorelines, direct groundwater discharge of terrestrial contaminants may be less important than recirculating seawater in the nearshore mixing zone that can extract contaminants from nearshore subsurface material. Total estimated mercury loads from the terrestrial BNC to Sinclair Inlet range from approximately 40 to 200 grams of filtered total mercury per year and a minimum of 70–350 grams of particulate total mercury per year, for a minimum total of 110–525 grams of whole (filtered plus particulate) total mercury per year. Data gaps are identified that, if filled, would further refine the Conceptual Site Model and contaminant loading estimates from the terrestrial BNC to Sinclair Inlet.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245011","collaboration":"Prepared in cooperation with U.S. Department of the Navy","usgsCitation":"Conn, K.E., Janssen, S.E., Opatz, C.C., and Bright, V.A.L., 2024, A conceptual site model of contaminant transport pathways from the Bremerton Naval Complex to Sinclair Inlet, Washington, 2011–21 (ver. 1.1): U.S. Geological Survey Scientific Investigations Report 2024–5011, 111 p., https://doi.org/10.3133/sir20245011.","productDescription":"Report: x, 111 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-142440","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":499424,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116205.htm","linkFileType":{"id":5,"text":"html"}},{"id":426852,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5011/sir20245011.XML"},{"id":426851,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5011/images"},{"id":427851,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2024/5011/VersionHistory.txt","description":"Version History"},{"id":426850,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K9P8G2","text":"USGS data release","description":"USGS data release","linkHelpText":"Particulate mercury isotope results, fiber optic thermal survey data, and nearshore surface sediment results at the Bremerton Naval Complex, Washington, USA, 2020-21"},{"id":426849,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94FCYGV","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW-NWT model to simulate the groundwater flow system at Puget Sound Naval Shipyard, Naval Base Kitsap, Bremerton, Washington"},{"id":426848,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245011/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5011"},{"id":426847,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5011/sir20245011.pdf","text":"Report","size":"36.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5011"},{"id":426846,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5011/sir20245011.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Sinclair Inlet","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.75191725882988,\n              47.580405375032115\n            ],\n            [\n              -122.75191725882988,\n              47.50997977336348\n            ],\n            [\n              -122.60639127716968,\n              47.50997977336348\n            ],\n            [\n              -122.60639127716968,\n              47.580405375032115\n            ],\n            [\n              -122.75191725882988,\n              47.580405375032115\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\" data-mce-href=\"mailto:dc_wa@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/washington-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/washington-water-science-center\">Washington Water Science Center</a><br>U.S. Geological Survey<br>934 Broadway, Suite 300<br>Tacoma, Washington 98402</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Quality Assurance and Control and Data Management</li><li>Mercury in Sediments and in the Dry Dock System</li><li>Groundwater/Surface-Water Interactions along Unwalled Shorelines</li><li>Updated Conceptual Site Model and Mercury Loading Estimates</li><li>Summary</li><li>References Cited</li><li>Appendixes 1–5</li></ul>","publishedDate":"2024-03-26","revisedDate":"2024-04-17","noUsgsAuthors":false,"publicationDate":"2024-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Opatz, Chad C. 0000-0002-5272-0195 copatz@usgs.gov","orcid":"https://orcid.org/0000-0002-5272-0195","contributorId":48857,"corporation":false,"usgs":true,"family":"Opatz","given":"Chad","email":"copatz@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":897038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bright, Valerie A.L. 0000-0002-7627-8004","orcid":"https://orcid.org/0000-0002-7627-8004","contributorId":294970,"corporation":false,"usgs":true,"family":"Bright","given":"Valerie","email":"","middleInitial":"A.L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897039,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252376,"text":"sir20245013 - 2024 - Novel data in recreation monitoring—Summary proceedings from interagency workshops in 2019 and 2023","interactions":[],"lastModifiedDate":"2025-05-09T17:46:13.694236","indexId":"sir20245013","displayToPublicDate":"2024-03-25T11:35:00","publicationYear":"2024","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":"2024-5013","displayTitle":"Novel Data in Recreation Monitoring—Summary Proceedings from Interagency Workshops in 2019 and 2023","title":"Novel data in recreation monitoring—Summary proceedings from interagency workshops in 2019 and 2023","docAbstract":"<p>Two interagency workshops were held in 2019 and 2023 in Fort Collins, Colorado, to discuss the use of novel data in recreation monitoring. During the workshops, the phrase “novel data in recreation monitoring” was primarily used to refer to data from social media, mobile device applications, and other online secondary sources. The goals of these workshops were to share information across agencies and researchers on the state of the science and applications for using novel data and to collectively discuss best practices for using novel data for understanding recreation on public lands and waters. Presentations during the workshops focused on use-cases, current applications, and the current state of research (as of the time of the workshops) for using novel data in recreation monitoring. Group discussions during the workshops focused on the strengths and limitations of novel data sources, potential approaches for integrating new and emerging data sources and methods with traditional approaches, and research and management needs. This report provides the proceedings of the 2019 and 2023 interagency workshops on novel data in recreation monitoring.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245013","collaboration":"Prepared in cooperation with the U.S. Department of the Interior Office of Policy Analysis, U.S. Department of Agriculture Forest Service, and University of Washington","programNote":"Land Management Research Program","usgsCitation":"Wilkins, E.J., Crowley, C.S.L., White, E.M., Wood, S.A., and Schuster, R., 2024, Novel data in recreation monitoring—Summary proceedings from interagency workshops in 2019 and 2023: U.S. Geological Survey Scientific Investigations Report 2024–5013, 24 p., https://doi.org/10.3133/sir20245013.","productDescription":"vi, 24 p.","onlineOnly":"Y","ipdsId":"IP-154663","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":427101,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245013/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5013"},{"id":427100,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5013/images"},{"id":426971,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5013/sir20245013.xml"},{"id":426930,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5013/sir20245013.pdf","text":"Report","size":"840 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5013"},{"id":426929,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5013/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fort/\" data-mce-href=\"https://www.usgs.gov/centers/fort/\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Ave., Bldg. C<br>Fort Collins, CO 80526-8118</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Background</li><li>2023 Novel Data in Recreation Monitoring Workshop Summary</li><li>2019 Novel Data in Recreation Monitoring Workshop Summary</li><li>Conclusion</li><li>References Cited</li><li>Appendix 1. 2017 Interagency Workshop on Recreation Visitation Data</li><li>Appendix 2. List of Participants, Novel Data in Recreation Monitoring Workshop, 2023</li><li>Appendix 3. Agenda, Novel Data in Recreation Monitoring Workshop, 2023</li><li>Appendix 4. List of Participants, Novel Data in Recreation Monitoring Workshop, 2019</li><li>Appendix 5. Agenda, Novel Data in Recreation Monitoring Workshop, 2019</li></ul>","publishedDate":"2024-03-25","noUsgsAuthors":false,"publicationDate":"2024-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkins, Emily J. 0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":328409,"corporation":false,"usgs":true,"family":"Wilkins","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":897139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowley, Christian S.L.","contributorId":203551,"corporation":false,"usgs":false,"family":"Crowley","given":"Christian","email":"","middleInitial":"S.L.","affiliations":[{"id":36651,"text":"Department of the Interior Office of Policy Analysis","active":true,"usgs":false}],"preferred":false,"id":897140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":936611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Spencer A. 0000-0002-5794-2619","orcid":"https://orcid.org/0000-0002-5794-2619","contributorId":334970,"corporation":false,"usgs":false,"family":"Wood","given":"Spencer A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":897142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":897143,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252416,"text":"sir20245015 - 2024 - Evaluation of groundwater resources in the Upper White River Basin within Mount Rainier National Park, Washington State, 2020","interactions":[],"lastModifiedDate":"2026-02-03T14:20:57.829693","indexId":"sir20245015","displayToPublicDate":"2024-03-25T10:05:35","publicationYear":"2024","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":"2024-5015","displayTitle":"Evaluation of Groundwater Resources in the Upper White River Basin within Mount Rainier National Park, Washington State, 2020","title":"Evaluation of groundwater resources in the Upper White River Basin within Mount Rainier National Park, Washington State, 2020","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the National Park Service, investigated groundwater gains and losses on the upper White River within Mount Rainier National Park in Washington. This investigation was conducted using stream discharge measurements at 14 locations within 7 reaches over a 6.5-mile river length from near the White River’s origin at the terminus of the Emmons Glacier on Mount Rainier to the White River Entrance near the northeast boundary of Mount Rainier National Park. Locations selected for the stream discharge measurements were on the main channel of the White River and on tributary streams near their confluence with the White River.</p><p>A soil-water-balance (SWB) model analysis was also performed on the White River basin to estimate groundwater recharge throughout the basin during the time of the study. Analyses were made for the White River basin at the sub-basin (zone) scale to determine groundwater input to the stream for individual stream reaches. The gridded SWB model was simulated at a 10-meter (m) horizontal resolution, where recharge simulations were constructed using five spatially distributed datasets. Daily climate data as input for the simulation included gridded daily precipitation and air temperature.</p><p>Upon analysis of the seepage run results, three of the seven reaches showed groundwater gains in this study. The SWB model results were used in conjunction with the baseflow gain totals in the reaches to estimate the length of time for recharge to become base flow. Further analysis estimated the rates of groundwater flow in the zones with adjacent gaining reaches. A streamflow gain curve was created from a simple flow model for each of the zones to relate the recharge from the zones to the adjacent reaches on the White River and tributaries. The fit of the streamflow gain curve to the calculated streamflow gain during the seepage run was used to analyze where the recharge from each zone resulted as streamflow gain. Consecutive reach losses from zones D and L were immediately followed downstream by a relatively large gain in zone GH, indicating that the gain in the reach adjacent to zone GH could be from the recharge in zones D and L.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245015","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Fuhrig, L.T., Long, A.J., and Headman, A.O., 2024, Evaluation of groundwater resources in the Upper White River Basin within Mount Rainier National Park, Washington State, 2020 (ver. 1.1, March 2024): U.S. Geological Survey Scientific Investigations Report 2024–5015, 19 p., https://doi.org/10.3133/sir20245015.","productDescription":"Report: vi, 19 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-148848","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":499425,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116204.htm","linkFileType":{"id":5,"text":"html"}},{"id":426941,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5015/sir20245015.XML"},{"id":426940,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5015/images"},{"id":426939,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KI310W","text":"USGS data release","description":"USGS data release","linkHelpText":"Soil water balance model of the White River basin, Mount Rainier National Park, Washington, USA"},{"id":427249,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2024/5015/versionHistory.txt"},{"id":426938,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245015/full","linkFileType":{"id":5,"text":"html"}},{"id":426937,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5015/sir20245015.pdf","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5015"},{"id":426936,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5015/sir20245015.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.66827303334932,\n              47.34261069492973\n            ],\n            [\n              -122.66827303334932,\n              46.07710849497087\n            ],\n            [\n              -120.72369295522444,\n              46.07710849497087\n            ],\n            [\n              -120.72369295522444,\n              47.34261069492973\n            ],\n            [\n              -122.66827303334932,\n              47.34261069492973\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: March 25, 2024; Version 1.1: March 29, 2024","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\" data-mce-href=\"mailto:dc_wa@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/washington-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/washington-water-science-center\">Washington Water Science Center</a><br>U.S. Geological Survey<br>934 Broadway, Suite 300<br>Tacoma, Washington 98402</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area</li><li>Methods and Results</li><li>Discussion</li><li>Limitations and Additional Assumptions</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2024-03-25","revisedDate":"2024-03-29","noUsgsAuthors":false,"publicationDate":"2024-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Fuhrig, Leland T. 0000-0001-5694-9061 lfuhrig@usgs.gov","orcid":"https://orcid.org/0000-0001-5694-9061","contributorId":195830,"corporation":false,"usgs":true,"family":"Fuhrig","given":"Leland","email":"lfuhrig@usgs.gov","middleInitial":"T.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Headman, Alexander O. 0000-0003-0034-3970","orcid":"https://orcid.org/0000-0003-0034-3970","contributorId":334972,"corporation":false,"usgs":false,"family":"Headman","given":"Alexander O.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":897146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252739,"text":"70252739 - 2024 - Linking temperature sensitivity of mangrove communities, populations and individuals across a tropical-temperate transitional zone","interactions":[],"lastModifiedDate":"2024-06-18T13:55:42.707774","indexId":"70252739","displayToPublicDate":"2024-03-25T09:44:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Linking temperature sensitivity of mangrove communities, populations and individuals across a tropical-temperate transitional zone","docAbstract":"<ol class=\"\"><li>Climate change is reshaping coastal wetlands worldwide, driving ecosystem shifts like mangrove poleward expansion into saltmarshes in tropical-temperate transitional zones. Though warming is recognized as the primary driver, a lack of detailed field studies limits our ability to predict mangrove responses to rapid climate warming.</li><li>Here, we characterized how mangroves vary across a temperature gradient at 18 sites along Florida's Gulf of Mexico coast (USA). We used minimum air temperature (<i>T</i><sub>min</sub>) derived from daily data from 1989 to 2021 as the independent variable and applied plot-based and synoptic approaches to quantify species-specific mangrove variation at community, population, and individual levels. We then used these results to spatially project future mangrove ecosystem properties under multiple warming scenarios.</li><li>Across the<span>&nbsp;</span><i>T</i><sub>min</sub><span>&nbsp;</span>gradient from −10.8 to −1.4°C, mangrove canopy height and coverage ranged from 0.4 to 11.5 m and 15% to 98%, respectively, with both exhibiting sigmoidal increases with<span>&nbsp;</span><i>T</i><sub>min</sub>. Estimated mangrove aboveground biomass ranged from 0 to 496.7 Mg/ha and showed a positive linear relationship with<span>&nbsp;</span><i>T</i><sub>min</sub><span>&nbsp;</span>due both to the tall tree stratum's increased biomass per tree and higher abundance.</li><li>While the population abundance and coverage of<span>&nbsp;</span><i>Rhizophora mangle</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Laguncularia racemosa</i><span>&nbsp;</span>had positive linear relationships with<span>&nbsp;</span><i>T</i><sub>min</sub>,<span>&nbsp;</span><i>Avicennia germinans</i><span>&nbsp;</span>exhibited a significant quadratic relationship, reflecting the higher freeze tolerance of this species. Such tolerance may stem from<span>&nbsp;</span><i>A. germinans</i>' higher morphological plasticity observed at the individual level, adapting to cold stress by exhibiting a more shrub-like architecture at colder sites.</li><li>Based on these field-derived quantitative relationships, we projected substantial increases in mangrove coverage and canopy height near current range limits, with tall<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>dominating in the north and<span>&nbsp;</span><i>R. mangle</i><span>&nbsp;</span>dominating the centre and south of the study region.</li><li><i>Synthesis.</i><span>&nbsp;</span>To better predict the ecological consequences in coastal wetlands under future climate change, it is essential to understand how mangroves respond to winter temperature regimes across a temperature gradient. Collectively, these cross-level and species-specific results advance our understanding of mangrove temperature sensitivity and provide information about the future of coastal wetland structure and function in response to a changing climate.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.14296","usgsCitation":"Kang, Y., Kaplan, D.A., and Osland, M., 2024, Linking temperature sensitivity of mangrove communities, populations and individuals across a tropical-temperate transitional zone: Journal of Ecology, v. 112, no. 6, p. 1256-1274, https://doi.org/10.1111/1365-2745.14296.","productDescription":"19 p.","startPage":"1256","endPage":"1274","ipdsId":"IP-158279","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497987,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.14296","text":"Publisher Index Page"},{"id":427397,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf of Mexico Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.80641192812863,\n              26.556559417083747\n            ],\n            [\n              -82.49358791992984,\n              27.55706027155135\n            ],\n            [\n              -82.35178969939925,\n              27.788896910838204\n            ],\n            [\n              -82.50449547535486,\n              28.385518339434526\n            ],\n            [\n              -82.49358791992984,\n              29.016962090740336\n            ],\n            [\n              -83.90066256980795,\n              30.22117396127888\n            ],\n            [\n              -85.3840901076647,\n              29.720379588339895\n            ],\n            [\n              -85.27501455341036,\n              29.483282567989463\n            ],\n            [\n              -84.28242700969791,\n              29.843449384166348\n            ],\n            [\n              -83.97701545778604,\n              29.994711920549207\n            ],\n            [\n              -83.26802435513419,\n              29.255146287349945\n            ],\n            [\n              -82.82081458269235,\n              28.911986475215883\n            ],\n            [\n              -82.96261280322236,\n              27.77924688100019\n            ],\n            [\n              -82.67901636216173,\n              27.247182142571987\n            ],\n            [\n              -82.29725192227238,\n              26.732045950237648\n            ],\n            [\n              -82.19908392344361,\n              26.312382041257592\n            ],\n            [\n              -81.80641192812863,\n              26.556559417083747\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"112","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Yiyang","contributorId":305365,"corporation":false,"usgs":false,"family":"Kang","given":"Yiyang","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":898053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaplan, David A.","contributorId":218915,"corporation":false,"usgs":false,"family":"Kaplan","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":39937,"text":"University of Florida, Gainesville, FL USA","active":true,"usgs":false}],"preferred":false,"id":898054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":898055,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70269056,"text":"70269056 - 2024 - Limited evidence of late Quaternary tectonic surface deformation in the eastern Tennessee seismic zone, USA","interactions":[],"lastModifiedDate":"2025-07-15T15:24:44.875998","indexId":"70269056","displayToPublicDate":"2024-03-25T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Limited evidence of late Quaternary tectonic surface deformation in the eastern Tennessee seismic zone, USA","docAbstract":"<p>The ~300-km-long eastern Tennessee seismic zone (ETSZ), USA, is the second-most seismically active region east of the Rocky Mountains. Seismicity generally occurs below the Paleozoic fold-and-thrust belt within the Mesoproterozoic basement, at depths of 5–26 km, and earthquake magnitudes during the instrumental record have been moment magnitude (<strong><i>M</i><sub>w</sub></strong>)≤4.8. Evidence of surface deformation may not exist or be difficult to detect because of the vegetated and soil-mantled landscape, landslides, locally steep topography, anthropogenic landscape modification, or long, irregular recurrence intervals between surface-rupturing earthquakes. Despite the deep seismicity, analog models indicate that accumulation of strike-slip or oblique-slip displacement at depth could be expected to propagate upward through the Paleozoic section, producing a detectable surficial signal of distributed faulting. To identify potential surface deformation, we interrogated the landscape at different spatial scales. We evaluated morphotectonic and channel metrics, such as channel sinuosity and catchment-scale hypsometry. Additionally, we mapped possible fault-related topographic features on 1-m lidar. Finally, we integrated our observations with available bedrock and Quaternary surficial mapping and subsurface geophysical data. At a regional scale, most morphotectonic and channel metrics have a strong lithologic control. Within smaller regions of similar lithology, we observe changes in landscape metrics like channel sinuosity and catchment-scale hypsometry that spatially correlate with new lineaments identified in this study and previously mapped east–west Cenozoic faults. These faults have apparent left-lateral offsets, are optimally oriented to slip in the current stress field, and match kinematics from recent focal mechanisms, but do not clearly preserve evidence of late Pleistocene or Holocene tectonic surface deformation. Most newly mapped lineaments might be explained by either tectonic or non-tectonic origins, such as fluvial or karst processes. We also re-evaluated a previously described paleoseismic site and interpret that the exposure does not record evidence of late Pleistocene faulting but instead is explained by fluvial stratigraphy.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230094","usgsCitation":"Jobe, J.A., Briggs, R.W., Gold, R.D., Bauer, L., and Collett, C., 2024, Limited evidence of late Quaternary tectonic surface deformation in the eastern Tennessee seismic zone, USA: Bulletin of the Seismological Society of America, v. 114, no. 4, p. 1920-1940, https://doi.org/10.1785/0120230094.","productDescription":"21 p.","startPage":"1920","endPage":"1940","ipdsId":"IP-154193","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":492246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"eastern Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -86.17028696488822,\n              36.643021837336434\n            ],\n            [\n              -86.17028696488822,\n              35.0924378490018\n            ],\n            [\n              -82.53465655915278,\n              35.0924378490018\n            ],\n            [\n              -82.53465655915278,\n              36.643021837336434\n            ],\n            [\n              -86.17028696488822,\n              36.643021837336434\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"114","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauer, Laurel","contributorId":266056,"corporation":false,"usgs":false,"family":"Bauer","given":"Laurel","email":"","affiliations":[{"id":54872,"text":"Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":943171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, Camille 0000-0003-4836-0243","orcid":"https://orcid.org/0000-0003-4836-0243","contributorId":310393,"corporation":false,"usgs":false,"family":"Collett","given":"Camille","affiliations":[{"id":67175,"text":"Formerly: U.S. Geological Survey, Geologic Hazards Science Center","active":true,"usgs":false}],"preferred":false,"id":943172,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70253018,"text":"70253018 - 2024 - Fair graph learning using constraint-aware priority adjustment and graph masking in river networks","interactions":[],"lastModifiedDate":"2024-04-16T16:15:32.996155","indexId":"70253018","displayToPublicDate":"2024-03-24T11:08:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10143,"text":"Proceedings of the AAAI Conference on Artificial Intelligence","active":true,"publicationSubtype":{"id":10}},"title":"Fair graph learning using constraint-aware priority adjustment and graph masking in river networks","docAbstract":"<p><span>Accurate prediction of water quality and quantity is crucial for sustainable development and human well-being. However, existing data-driven methods often suffer from spatial biases in model performance due to heterogeneous data, limited observations, and noisy sensor data. To overcome these challenges, we propose Fair-Graph, a novel graph-based recurrent neural network that leverages interrelated knowledge from multiple rivers to predict water flow and temperature within large-scale stream networks. Additionally, we introduce node-specific graph masks for information aggregation and adaptation to enhance prediction over heterogeneous river segments. To reduce performance disparities across river segments, we introduce a centralized coordination strategy that adjusts training priorities for segments. We evaluate the prediction of water temperature within the Delaware River Basin, and the prediction of streamflow using simulated data from U.S. National Water Model in the Houston River network. The results showcase improvements in predictive performance and highlight the proposed model's ability to maintain spatial fairness over different river segments.</span></p>","language":"English","publisher":"Association for the Advancement of Artificial Intelligence","doi":"10.1609/aaai.v38i20.30212","usgsCitation":"He, E., Xie, Y., Sun, A.Y., Zwart, J.A., Yang, J., Jin, Z., Wang, Y., Karimi, H.A., and Jia, X., 2024, Fair graph learning using constraint-aware priority adjustment and graph masking in river networks: Proceedings of the AAAI Conference on Artificial Intelligence, v. 38, no. 20, p. 22087-22095, https://doi.org/10.1609/aaai.v38i20.30212.","productDescription":"9 p.","startPage":"22087","endPage":"22095","ipdsId":"IP-158367","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":440050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1609/aaai.v38i20.30212","text":"Publisher Index Page"},{"id":427821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.19185307052085,\n              38.71562965387949\n            ],\n            [\n              -74.4374506373952,\n              38.7070541171185\n            ],\n            [\n              -74.13043021159795,\n              41.597382404326765\n            ],\n            [\n              -75.720357416618,\n              41.63871233834436\n            ],\n            [\n              -76.19185307052085,\n              38.71562965387949\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"38","issue":"20","noUsgsAuthors":false,"publicationDate":"2024-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"He, Erhu","contributorId":329980,"corporation":false,"usgs":false,"family":"He","given":"Erhu","email":"","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":898944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xie, Yiqun","contributorId":297447,"corporation":false,"usgs":false,"family":"Xie","given":"Yiqun","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":898945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Alexander Y. 0000-0002-6365-8526","orcid":"https://orcid.org/0000-0002-6365-8526","contributorId":302987,"corporation":false,"usgs":false,"family":"Sun","given":"Alexander","email":"","middleInitial":"Y.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":898946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":898947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, Jie","contributorId":335648,"corporation":false,"usgs":false,"family":"Yang","given":"Jie","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":898948,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jin, Zhenong","contributorId":297865,"corporation":false,"usgs":false,"family":"Jin","given":"Zhenong","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":898949,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Yang","contributorId":173071,"corporation":false,"usgs":false,"family":"Wang","given":"Yang","email":"","affiliations":[],"preferred":false,"id":898950,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karimi, Hassan Ali","contributorId":335649,"corporation":false,"usgs":false,"family":"Karimi","given":"Hassan","email":"","middleInitial":"Ali","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":898951,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jia, Xiaowei 0000-0001-8544-5233","orcid":"https://orcid.org/0000-0001-8544-5233","contributorId":237807,"corporation":false,"usgs":false,"family":"Jia","given":"Xiaowei","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":898952,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70261324,"text":"70261324 - 2024 - Exploring and integrating differences in niche characteristics across regional and global scales to better understand plant invasions in Hawaiʻi","interactions":[],"lastModifiedDate":"2024-12-05T15:54:04.297803","indexId":"70261324","displayToPublicDate":"2024-03-23T09:50:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Exploring and integrating differences in niche characteristics across regional and global scales to better understand plant invasions in Hawaiʻi","docAbstract":"<p><span>The spread of ecosystem modifying invasive plant (EMIP) species is one of the largest threats to native ecosystems in Hawaiʻi. However, differences in niche characteristics between Hawaiʻi’s isolated insular environment and the wider global distribution of these species have not been carefully examined. We used species distribution modeling (SDM) methods to assess similarities and differences in niche characteristics between global and regional scales for 17 EMIPs present in Hawaiʻi. With a clearer understanding of the global context of regional plant invasion, we combined two SDM methods to better understand the potential future regional spread: (1) a nested modeling approach to integrate global and regional invasive species distribution projections; and (2) integrating all available agency and citizen science data to minimize the effect of monitoring gaps and biases. Our results show there are multiple similarities in niche characteristics across regional and global scales for most species, such as similar sets of climatic determinants of distribution, similar responses along environmental gradients, and moderate to high niche overlap between global and regional models. However, some differences were apparent and likely due to several factors including incomplete regional spread, community assembly or diversity effects. Invaders that established earlier showed a higher degree of niche overlap and similar environmental gradient responses when comparing global and regional models. This pattern, coupled with the tendency for regionally-based projections to predict narrower distributions than global projections, indicates a potential for continued spread of several invasive species across the Hawaiian landscape. Our study has broader implications for understanding the distribution and spread of invasive species in other regions, as similar analyses and models, including a novel way to characterize environmental gradient response differences across regions or scales, can likely provide valuable information for conservation and management efforts.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-024-03284-8","usgsCitation":"Fortini, L., Kaiser, L.R., Daehler, C., Jacobi, J.D., Dimson, M., and Gillespie, T., 2024, Exploring and integrating differences in niche characteristics across regional and global scales to better understand plant invasions in Hawaiʻi: Biological Invasions, v. 26, p. 1827-1843, https://doi.org/10.1007/s10530-024-03284-8.","productDescription":"17 p.","startPage":"1827","endPage":"1843","ipdsId":"IP-154054","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":464808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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W","contributorId":304639,"corporation":false,"usgs":false,"family":"Gillespie","given":"Thomas W","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":920389,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252341,"text":"ofr20241018 - 2024 - Greater sage-grouse habitat of Nevada and northeastern California—Integrating space use, habitat selection, and survival indices to guide areas for habitat management","interactions":[],"lastModifiedDate":"2024-03-26T16:43:36.240165","indexId":"ofr20241018","displayToPublicDate":"2024-03-22T13:06:41","publicationYear":"2024","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":"2024-1018","displayTitle":"Greater Sage-Grouse Habitat of Nevada and Northeastern California—Integrating Space Use, Habitat Selection, and Survival Indices to Guide Areas for Habitat Management","title":"Greater sage-grouse habitat of Nevada and northeastern California—Integrating space use, habitat selection, and survival indices to guide areas for habitat management","docAbstract":"<h1>Executive Summary</h1><p>Greater sage-grouse populations (<i>Centrocercus urophasianus</i>; hereafter sage-grouse) are threatened by a suite of disturbances and anthropogenic factors that have contributed to a net loss of sagebrush-dominant shrub cover in recent decades. Declines in sage-grouse populations are largely linked to habitat loss across their range. A key component of conservation and land use planning efforts for sage-grouse involves the continued monitoring and modeling of habitat requirements and suitability across its range. The Bureau of Land Management (BLM) is addressing the management of sage-grouse habitats on BLM-authorized public lands throughout the western United States through a land use planning amendment and associated environmental impact statement (86 FR 66331). More than 25 percent of the range-wide distribution of sage-grouse is within Nevada and northeastern California, and information on sage-grouse distribution and habitat requirements is important to guide appropriate management decisions. Therefore, the BLM has identified the need for updated spatially explicit information on sage-grouse habitat in Nevada and northeastern California to guide the land use planning amendment and associated management decisions.</p><p>To address this need, researchers with the U.S. Geological Survey, in close cooperation with multiple State and Federal resource agency partners, including BLM, Nevada Department of Wildlife (NDOW) and California Department of Fish and Wildlife (CDFW), sought to map sage-grouse distribution and produce example habitat designations in these states. Herein, we report results of our primary study objective, which was to map sage-grouse habitat and create example habitat management areas, based on more than a decade of location and survival data collected from marked sage-grouse across the study region coupled with lek count survey data managed by the NDOW and the CDFW.</p><p>We expanded on previously developed methodology to incorporate information on habitat selection and survival during reproductive life stages and specific seasons with updated sage-grouse location and known fate datasets, while also including brood-rearing areas that are understood to be threatened and important for population persistence. We combined predictive habitat map surfaces for each life stage and season with updated information on current occupancy patterns to classify habitat based on its suitability and probability of occupancy. We carried out additional steps to delineate specific example habitat management areas, specifically (1) incorporated corridors connecting key nesting and brood-rearing habitat, (2) corrected outputs for pre-wildfire habitat conditions within areas burned in the last 16 years, and (3) masked out areas of anthropogenic development. Our methodological example of deriving habitat management areas was intended to help inform decisions by BLM and other land managers regarding conservation and management of sage-grouse. Associated data products in the form of habitat maps provide updated, detailed, and comprehensive information about the status of habitats and can be useful to partner agencies in their efforts to designate and rank habitats for this species of high conservation concern in Nevada and California, with full recognition that on-the-ground field data and local sources of information and expertise should be used in conjunction with inferences from these models.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241018","collaboration":"Prepared in cooperation with the Bureau of Land Management, Nevada Department of Wildlife, and California Department of Fish and Wildlife","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Milligan, M.C., Coates, P.S., O’Neil, S.T., Brussee, B.E., Chenaille, M.P., Friend, D., Steele, K., Small, J.R., Bowden, T.S., Kosic, A.D., and Miller, K., 2024, Greater sage-grouse habitat of Nevada and northeastern California—Integrating space use, habitat selection, and survival indices to guide areas for habitat management: U.S. Geological Survey Open-File Report 2024–1018, 70 p., https://doi.org/10.3133/ofr20241018.","productDescription":"Report: viii, 70 p.: Data Release","numberOfPages":"70","onlineOnly":"Y","ipdsId":"IP-157608","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":427111,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241018/full"},{"id":426917,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P933VE6W","text":"USGS Data Release","description":"Coates, P.S., Milligan, M.C., O’Neil, S.T., Brussee, B.E., and Chenaille, M.P., 2024, Rasters representing Greater sage-grouse space use, habitat selection, and survival to inform habitat management: U.S. Geological Survey data release, https://doi.org/10.5066/P933VE6W.","linkHelpText":"Rasters representing Greater sage-grouse space use, habitat selection, and survival to inform habitat management"},{"id":426916,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1018/images"},{"id":426914,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1018/ofr20241018.xml"},{"id":426913,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1018/ofr20241018.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":426912,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1018/covrthb.jpg"}],"country":"United States","state":"California, Idaho, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114,\n              43\n            ],\n            [\n              -121,\n              43\n            ],\n            [\n              -121,\n              38\n            ],\n            [\n              -114,\n              38\n            ],\n            [\n              -114,\n              43\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Preface</li><li>Acknowledgements</li><li>Executive Summary</li><li>Background</li><li>Study Area</li><li>Methods</li><li>Results</li><li>Interpretation and Synthesis</li><li>References Cited</li><li>Appendix 1. Model Specifications for Habitat Selection Models</li><li>Appendix 2. Model Specifications for Survival Models</li><li>Appendix 3. Review and Revision Process</li><li>Appendix 4. Results of Variable Reduction Analyses</li><li>&nbsp;Appendix 5. Mapping Habitat Suitability with the Abundance and Space Use Index</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-03-22","noUsgsAuthors":false,"publicationDate":"2024-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Milligan, Megan C. 0000-0001-8466-7803","orcid":"https://orcid.org/0000-0001-8466-7803","contributorId":296042,"corporation":false,"usgs":true,"family":"Milligan","given":"Megan","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":897126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chenaille, Michael P. 0000-0003-3387-7899 mchenaille@usgs.gov","orcid":"https://orcid.org/0000-0003-3387-7899","contributorId":194661,"corporation":false,"usgs":true,"family":"Chenaille","given":"Michael","email":"mchenaille@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friend, Derek 0000-0002-6909-8769","orcid":"https://orcid.org/0000-0002-6909-8769","contributorId":255288,"corporation":false,"usgs":false,"family":"Friend","given":"Derek","email":"","affiliations":[{"id":51512,"text":"Department of Geography, University of Nevada, Reno, 1664 N Virginia St, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":true,"id":897130,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Steele, Kathleen","contributorId":334965,"corporation":false,"usgs":false,"family":"Steele","given":"Kathleen","email":"","affiliations":[{"id":17737,"text":"Nevada Sagebrush Ecosystem Program; Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":true,"id":897131,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Small, Justin R.","contributorId":78146,"corporation":false,"usgs":false,"family":"Small","given":"Justin","email":"","middleInitial":"R.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":true,"id":897132,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowden, Timothy S.","contributorId":334966,"corporation":false,"usgs":false,"family":"Bowden","given":"Timothy","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":897133,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kosic, Arlene D.","contributorId":334967,"corporation":false,"usgs":false,"family":"Kosic","given":"Arlene","email":"","middleInitial":"D.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":897134,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Miller, Katherine","contributorId":259248,"corporation":false,"usgs":false,"family":"Miller","given":"Katherine","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":true,"id":897135,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70252615,"text":"70252615 - 2024 - Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","interactions":[],"lastModifiedDate":"2024-07-15T14:54:36.864148","indexId":"70252615","displayToPublicDate":"2024-03-22T06:49:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Differences in life history patterns of American shad, <i>Alosa sapidissima</i>, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","title":"Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><span>Organisms naturalized outside their native range can reveal new life history patterns in new environments. Here, we compare life history patterns of American shad,&nbsp;</span><i>Alosa sapidissima,</i><span>&nbsp;from five rivers along the U.S. Pacific coast (introduced range) with contemporary data from the Atlantic coast source populations. The Pacific coast fish grew slower, matured at a younger age, and were less often iteroparous than conspecifics from the Hudson River and Susquehanna River sources. Differences among the Pacific coast populations indicated that some combination of phenotypic plasticity and genetic adaptation has occurred since the transplants in the 1870s. Microchemical analysis of otoliths from returning adults demonstrated an immature, extended freshwater life history form, locally known as “mini-shad”. These fish remain in the river for at least 1 year or enter salt water briefly and then return to fresh water for several months prior to subsequent seaward migration and return as adults. This and other forms of variation (extent of estuary use and size at sea water entry) expand the understanding of Alosine migration and life history diversity.</span></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0286","usgsCitation":"Quinn, T.P., Wetzel, L., Hasselman, D.J., and Larsen, K., 2024, Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 7, p. 862-878, https://doi.org/10.1139/cjfas-2023-0286.","productDescription":"17 p.","startPage":"862","endPage":"878","ipdsId":"IP-158463","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":427263,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Quinn, Thomas P.","contributorId":167272,"corporation":false,"usgs":false,"family":"Quinn","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":24671,"text":"School of Aquatic and Fsiery Sciences, UW, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":897703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wetzel, Lisa 0000-0003-3178-9940","orcid":"https://orcid.org/0000-0003-3178-9940","contributorId":202173,"corporation":false,"usgs":true,"family":"Wetzel","given":"Lisa","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hasselman, Daniel J.","contributorId":335211,"corporation":false,"usgs":false,"family":"Hasselman","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":80342,"text":"University of Washington; Fundy Ocean Research Centre for Energy","active":true,"usgs":false}],"preferred":false,"id":897705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Kimberly 0000-0001-7978-2452","orcid":"https://orcid.org/0000-0001-7978-2452","contributorId":202172,"corporation":false,"usgs":true,"family":"Larsen","given":"Kimberly","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897706,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}