{"pageNumber":"313","pageRowStart":"7800","pageSize":"25","recordCount":184769,"records":[{"id":70234748,"text":"70234748 - 2023 - Status and trends of the Lake Huron prey fish community, 1976-2021","interactions":[],"lastModifiedDate":"2023-04-26T14:56:10.602756","indexId":"70234748","displayToPublicDate":"2023-01-01T09:51:43","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Status and trends of the Lake Huron prey fish community, 1976-2021","docAbstract":"The U.S. Geological Survey Great Lakes Science Center has assessed annual changes in the offshore prey fish community of Lake Huron since 1973.  Assessments are based on a bottom trawl survey conducted in October of each year and an acoustics-midwater trawl survey, which began in 2004 and is conducted in September-October.  Due to weather delays and continued travel restrictions during 2021, there were no bottom trawl samples off the port of Goderich, Ontario and  two acoustic transects were cancelled in Georgian Bay.  Prey fish biomass in Lake Huron in 2021 was dominated by two species, Bloater (Coregonus hoyi) and Rainbow Smelt (Osmerus mordax).  In the main basin, prey fish biomass remained below levels observed prior to community-wide declines that began in the early to mid 1990s.  Bloater was the most abundant prey fish species in the main basin, whereas Rainbow Smelt was the most abundant prey species in the North Channel and in Georgian Bay.  Both surveys suggested that Bloater biomass is increasing in the main basin.  Low biomass of invasive species like Alewife (Alosa pseudoharengus) and Rainbow Smelt is consistent with fish community objectives focused on restoration of native fish communities.  Abundance of invasive Round Goby (Neogobius melanostomus) increased in 2021 relative to 2019-2020.  Biomass of the native Cisco (Coregonus artedi) increased in the North Channel in 2021 but remained low in Georgian Bay, possibly as an artifact of reduced sampling.  Biomass of Slimy Sculpin (Cottus cognatus) and Deepwater Sculpin (Myoxocephalus thompsoni) in 2021 remained low but within the range observed over the past decade.  Reduced lake productivity, predation by a recovering piscivore community, and shifts in food web dynamics that favor fish production in nearshore environments may prevent prey fish biomass in offshore areas from returning to levels observed prior to the early 1990s.  However, increased biomass of Bloater and Cisco suggests that lake conditions may favor recovery of native corgonines.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"O’Brien, T.P., Hondorp, D.W., Esselman, P., and Roseman, E., 2023, Status and trends of the Lake Huron prey fish community, 1976-2021, 36 p.","productDescription":"36 p.","ipdsId":"IP-141614","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":416382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416381,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/lake-huron-committee.php"}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        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0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":848938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":848939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":848940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":848941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250602,"text":"70250602 - 2023 - Geologic map of Okmok Volcano","interactions":[],"lastModifiedDate":"2023-12-21T15:32:24.005778","indexId":"70250602","displayToPublicDate":"2023-01-01T09:28:59","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5492,"text":"Report of Investigations of the Alaska Department of Natural Resources, Division of Geological & Geophysical Surveys","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"2023-1","title":"Geologic map of Okmok Volcano","docAbstract":"<p>The geologic map and description of map units presented here cover approximately 880 km2 of northeastern Umnak Island, Aleutian Islands, Alaska. This report focuses on Okmok Volcano and its eruptive products and updates the mid-20th-century geologic map of Byers (1959). Mapped deposits reflect the state of the volcano just prior to the 2008 eruption. Published information about other portions of Umnak Island geology, including Mount Recheshnoi and Mount Vsevidof, can be found in Byers (1959). The 2008 eruption and its deposits are described in Larsen and others (2009, 2013, 2015).</p><p>Okmok Volcano is one of 54 historically active volcanoes in the Alaska–Aleutian volcanic arc that stretches across southern mainland Alaska and the Aleutian Islands (fig. 1; Wood and Kienle, 1990; Miller and others, 1998; Cameron and others, 2020). The highest point of the modern Okmok Caldera is along the caldera’s northern rim, 967 m in elevation, and formally named “Mount Okmok” (U.S. Board on Geographic Names, www.usgs.gov/core-science-systems/ngp/boardon-geographic-names/domestic-names). Okmok Volcano dominates the northeastern portion of Umnak Island, which is 100 km southwest of Unalaska/Dutch Harbor and 1,400 km southwest of Anchorage (figs. 1, 2). The Port of Dutch Harbor on Unalaska Island produces the highest volume of seafood for any port in the United States (see fisheries.noaa.gov/resource/document/fisheries-united-states-2018-report). Unalaska city and the Port of Dutch Harbor have been impacted by ash fall and drifting ash clouds from Okmok Volcano’s explosive eruptions as recently as 2008. Holocene and late Pleistocene volcanic rocks and deposits of Okmok Volcano rest upon glaciated Tertiary volcanic and sedimentary rocks (Byers, 1959).&nbsp;</p><p>The first geologic mapping expedition to Okmok Volcano was by the U.S. Geological Survey (USGS) after the 1945 eruption, largely in response to concerns about volcanic hazards to U.S. military activities in the Aleutians Islands (Byers and others, 1947, 1959; Byers and Brannock, 1949; Byers, 1955, 1959, 1961). The State of Alaska conducted further mapping and geochemical studies as part of its geothermal exploration program in the 1980s (Nye, 1983; Nye and Reid, 1986; Motyka and others, 1993). Additional modern geological work focused on Okmok Volcano and the rest of Umnak Island to address the geochemistry and origin of primary Aleutian arc magmas and subduction zone mass recycling (Marsh, 1982; Brophy and Marsh, 1986; Nye and Reid, 1986; Myers and Marsh, 1987; Miller and others, 1992; Fournelle and others, 1994; Kay and Kay, 1994). </p><p>In 1998, the Alaska Volcano Observatory (AVO) began a multi-year effort to expand geophysical monitoring in the central Aleutians Islands, including at Okmok Volcano. As part of this effort, AVO geologists from the University of Alaska Fairbanks Geophysical Institute (UAF/GI), the Alaska Division of Geological &amp; Geophysical Surveys (DGGS), and USGS also began a renewed effort to document Okmok Volcano’s recent eruption products. The project started with reconnaissance fieldwork to document and sample products from the 1997 eruption within Okmok Caldera. This evolved into an effort to produce an updated geologic map of Okmok Volcano and gather more information about its eruptive history and hazards. Three significant eruptions occurred at Okmok Volcano in 1958, 1997, and 2008—after fieldwork had been conducted for the original 1:63,360-scale geologic map produced by Byers (1959)—resulting in new volcanic deposits not previously described. </p><p>Okmok Volcano is one of the most frequently active volcanoes in the Aleutian volcanic arc. Seismic and geodetic monitoring indicate ongoing unrest at Okmok Volcano since at least 1997. Geodetic observations of inflation before and after the 1997 and 2008 eruptions indicate a nearly continuous input of new magma from a depth consistent with frequent eruptions of basalt and basaltic andesite magmas over the past 200 years (Larsen and others, 2013; Lu and others, 2000, 2003, 2005; Mann, 2002; Mann and others, 2002). To better understand the likelihood and character of future eruptions from Okmok Volcano, it is necessary to understand its past behavior, including eruptions since the first geologic map was published by Byers (1959).</p>","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","doi":"10.14509/31015","usgsCitation":"Larsen, J., Neal, C.A., Schaefer, J., and Nye, C., 2023, Geologic map of Okmok Volcano: Report of Investigations of the Alaska Department of Natural Resources, Division of Geological & Geophysical Surveys 2023-1, 63 p., https://doi.org/10.14509/31015.","productDescription":"63 p.","ipdsId":"IP-142905","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":444978,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/31015","text":"Publisher Index Page"},{"id":423837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Okmok Volcano, Umnak Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -168.4940614057107,\n              53.01297120722842\n            ],\n            [\n              -167.799296762778,\n              53.38973492849598\n            ],\n            [\n              -167.78079711252238,\n              53.5365823869877\n            ],\n            [\n              -168.09734668356276,\n              53.57077373403283\n            ],\n            [\n              -168.38306350417713,\n              53.49991813616461\n            ],\n            [\n              -168.7222237588632,\n              53.274349397005494\n            ],\n            [\n              -169.14976831531723,\n              52.810922775693314\n            ],\n            [\n              -168.97504939623653,\n              52.78979597004388\n            ],\n            [\n              -168.4940614057107,\n              53.01297120722842\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Larsen, Jessica 0000-0003-1171-129X","orcid":"https://orcid.org/0000-0003-1171-129X","contributorId":242808,"corporation":false,"usgs":false,"family":"Larsen","given":"Jessica","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":890527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":131135,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":890528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaefer, Janet","contributorId":199547,"corporation":false,"usgs":false,"family":"Schaefer","given":"Janet","affiliations":[],"preferred":false,"id":890529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nye, Christopher J.","contributorId":332578,"corporation":false,"usgs":false,"family":"Nye","given":"Christopher J.","affiliations":[{"id":79497,"text":"Alaska Division of Geological & Geophysical Surveys (retired)","active":true,"usgs":false}],"preferred":false,"id":890530,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240926,"text":"70240926 - 2023 - Inferring geologic structure from gravity anomalies: Proceed with caution","interactions":[],"lastModifiedDate":"2026-03-19T14:29:29.206183","indexId":"70240926","displayToPublicDate":"2023-01-01T09:28:09","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Inferring geologic structure from gravity anomalies: Proceed with caution","docAbstract":"<p>Characterization of key geologic structures within a study region, such as basin depths, fault offsets, and fault dip, are often derived from gravity data. Gravity modeling of such subsurface geologic structure generally assumes either homogeneous or spatially uncorrelated densities within modeled rock bodies and overlying sediments. This assumption allows modeling to focus on the shape of the subsurface bodies, for example, body depth or fault dip, which then underpin subsequent structural interpretations. However, both surface and drill-hole samples from rock bodies and sediments show a range of density values that exhibit spatial correlation, The spatially-correlated densities add low-frequency noise to the models that is difficult to detect and characterize &nbsp;which can lead to misinterpretations of the subsurface structure. &nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic mapping forum 22/23 abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"Phelps, G., 2023, Inferring geologic structure from gravity anomalies: Proceed with caution, <i>in</i> Geologic mapping forum 22/23 abstracts, p. 39-40.","productDescription":"2 p.","startPage":"39","endPage":"40","ipdsId":"IP-147435","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":501306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501305,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/256180"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Phelps, Geoffrey 0000-0003-1958-2736 gphelps@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-2736","contributorId":127489,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":865326,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70252806,"text":"70252806 - 2023 - 2021–2022 Statewide Abundance Estimates for the Florida Manatee","interactions":[],"lastModifiedDate":"2024-04-05T14:14:20.517907","indexId":"70252806","displayToPublicDate":"2023-01-01T09:10:24","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":138,"text":"Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"TR-27","title":"2021–2022 Statewide Abundance Estimates for the Florida Manatee","docAbstract":"<p>Knowing the population size of Florida manatees (<i>Trichechus manatus latirostris</i>) is critical for conservation and management of this threatened species. Martin et al. (2015) and Hostetler et al. (2018) applied statistical models that incorporated multiple data sources to estimate the statewide abundance of manatees from aerial surveys f lown in 2011–2012 and 2015–2016. We conducted additional aerial surveys in 2021–2022 and applied similar models to provide an updated abundance estimate. This report serves as an update to Hostetler et al. (2018), with most of the text and methodology adapted from the previous report, and provides updated population estimates based on the newly available data. We estimate that the number of manatees in Florida in 2021–2022 was 9,790 (95% Bayesian credible interval 8,350–11,730), of which 4,630 (3,960–5,420) were on the west coast of Florida and 5,160 (3,940–6,980) were on the east coast. These estimates and the associated uncertainty, in addition to being of immediate value to wildlife managers, are essential new data for incorporation into integrated population models and population viability analyses. We also provide context for interpreting the new estimates and perspectives for future modeling improvements.</p>","language":"English","publisher":"Florida Fish and Wildlife Conservation Commission","usgsCitation":"Gowan, T., Edwards, H.H., Krzystan, A.M., Martin, J., and Hostetler, J.A., 2023, 2021–2022 Statewide Abundance Estimates for the Florida Manatee: Technical Report TR-27, 14 p.","productDescription":"14 p.","ipdsId":"IP-153497","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":427511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427508,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://myfwc.com/research/publications/technical-reports/"}],"country":"United 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Commission","active":true,"usgs":false}],"preferred":false,"id":898280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":898281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hostetler, J. A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":11319,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.","middleInitial":"A.","affiliations":[],"preferred":true,"id":898282,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241524,"text":"70241524 - 2023 - Comprehensive inventory of habitat assessment and evaluation datasets to support Deepwater Horizon mesophotic and deep benthic communities","interactions":[],"lastModifiedDate":"2023-03-22T13:52:48.219679","indexId":"70241524","displayToPublicDate":"2023-01-01T08:44:46","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":13626,"text":"DWH MDBC Data Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"DR-23-01","title":"Comprehensive inventory of habitat assessment and evaluation datasets to support Deepwater Horizon mesophotic and deep benthic communities","docAbstract":"This report is part of the NOAA Mesophotic and Deep Benthic Communities (MDBC) Series of \npublications that share the results of work conducted by the Deepwater Horizon MDBC restoration projects.   \n \nThe 2010 Deepwater Horizon oil spill was an unprecedented event. Approximately 3.2 million barrels of oil were released into the deep ocean over nearly three months. The plume of oil moved throughout the water column, formed surface slicks that cumulatively covered an area the size of Virginia, and washed oil onto at least 1,300 miles of shoreline habitats. More than 770 square miles (2,000 square kilometers) of deep benthic habitat surrounding the Deepwater Horizon wellhead and 4-square miles of the Pinnacles mesophotic reef complex, located at the edge of the continental shelf, were injured by the oil spill. \n \nUnder the Oil Pollution Act, state and federal natural resource trustees conducted a Natural Resource Damage Assessment (NRDA). The Trustees assessed damages, quantifying the unprecedented injuries to natural resources and lost services. They also developed a programmatic restoration plan to restore injured resources and compensate the public for lost services. \n \nIn April 2016, a settlement was finalized that included up to $8.8 billion in funding for the Deepwater Horizon Trustees to restore the natural resource injuries caused by the oil spill as described in their programmatic restoration plan, Final Programmatic Damage Assessment and Restoration Plan and Final Programmatic Environmental Impact Statement. The Deepwater Horizon Open Ocean Trustee Implementation Group is responsible for restoring natural resources and their services within the Open Ocean Restoration Area that were injured by the oil spill. The Open Ocean Trustees include NOAA, Department of the Interior, U.S. Environmental Protection Agency, and U.S. Department of Agriculture. \n \nIn 2019, the Open Ocean Trustee Implementation Group committed more than $126 million to \nimplement four restoration projects to address the injury to MDBC. The MDBC projects are: mapping, Ground-truthing, and Predictive Habitat Modeling; Habitat Assessment and Evaluation; Coral Propagation Technique Development; and Active Management and Protection. NOAA and the Department of the Interior are implementing the projects, in cooperation with a range of partners, over eight years. \n \nTogether, the projects take a phased approach to meet the challenges involved in restoring deep-sea habitats. Challenges to restoration include a limited scientific understanding of these communities, limited experience with restoration at the depths at which these communities occur, and remote locations that limit accessibility. \n \nMore information about Deepwater Horizon restoration and the MDBC restoration projects is available at: www.gulfspillrestoration.noaa.gov.","language":"English","publisher":"NOAA","doi":"10.25923/kz7t-4674","usgsCitation":"Bassett, R., Herting, J., Frometa, J., Sharuga, S.M., Howell, J., Siceloff, L., Bourque, J.R., Cromwell, M., Francis, K., Clark, R., Demopoulos, A., David, A., Benson, K., and Harter, S.L., 2023, Comprehensive inventory of habitat assessment and evaluation datasets to support Deepwater Horizon mesophotic and deep benthic communities: DWH MDBC Data Report DR-23-01, 68 p., https://doi.org/10.25923/kz7t-4674.","productDescription":"68 p.","ipdsId":"IP-143985","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":414549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.4738402663695,\n              27.73976270326594\n            ],\n            [\n              -88.43668753646247,\n              28.377487555215865\n            ],\n            [\n              -87.08865291012629,\n              29.215833830999557\n            ],\n            [\n              -87.79750143247816,\n              30.10517365534068\n            ],\n            [\n              -88.52009799635897,\n              30.199023526767235\n            ],\n            [\n              -89.11487834086316,\n              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Rachel","contributorId":302194,"corporation":false,"usgs":false,"family":"Bassett","given":"Rachel","email":"","affiliations":[{"id":65431,"text":"CSS Inc, under contract to NOAA/NOS","active":true,"usgs":false}],"preferred":false,"id":867102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herting, Jennifer","contributorId":302201,"corporation":false,"usgs":false,"family":"Herting","given":"Jennifer","email":"","affiliations":[{"id":65436,"text":"Tech Global, Inc., Under contract to NOAA/NMFS","active":true,"usgs":false}],"preferred":false,"id":867103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frometa, Janessy","contributorId":200722,"corporation":false,"usgs":false,"family":"Frometa","given":"Janessy","email":"","affiliations":[],"preferred":false,"id":867104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharuga, Stephanie M.","contributorId":301148,"corporation":false,"usgs":false,"family":"Sharuga","given":"Stephanie","email":"","middleInitial":"M.","affiliations":[{"id":65319,"text":"Genwest Systems","active":true,"usgs":false}],"preferred":false,"id":867105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Howell, Jacob","contributorId":218500,"corporation":false,"usgs":false,"family":"Howell","given":"Jacob","affiliations":[{"id":39855,"text":"NOAA contractor","active":true,"usgs":false}],"preferred":false,"id":867106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Siceloff, Laughlin","contributorId":303301,"corporation":false,"usgs":false,"family":"Siceloff","given":"Laughlin","email":"","affiliations":[{"id":65431,"text":"CSS Inc, under contract to NOAA/NOS","active":true,"usgs":false}],"preferred":false,"id":867107,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bourque, Jill R. 0000-0003-3809-2601","orcid":"https://orcid.org/0000-0003-3809-2601","contributorId":215719,"corporation":false,"usgs":true,"family":"Bourque","given":"Jill","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":867108,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cromwell, Megan","contributorId":303303,"corporation":false,"usgs":false,"family":"Cromwell","given":"Megan","email":"","affiliations":[{"id":65754,"text":"NOAA/NCEI","active":true,"usgs":false}],"preferred":false,"id":867109,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Francis, Kirstie","contributorId":303304,"corporation":false,"usgs":false,"family":"Francis","given":"Kirstie","email":"","affiliations":[{"id":65754,"text":"NOAA/NCEI","active":true,"usgs":false}],"preferred":false,"id":867110,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clark, 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,{"id":70234154,"text":"70234154 - 2023 - The not-so-dead of winter: Underwater light climate and primary productivity under snow and ice cover in inland lakes","interactions":[],"lastModifiedDate":"2024-05-20T13:42:57.274286","indexId":"70234154","displayToPublicDate":"2023-01-01T08:43:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"The not-so-dead of winter: Underwater light climate and primary productivity under snow and ice cover in inland lakes","docAbstract":"<p><span>As global surface temperatures continue to rise as a result of anthropogenic climate change, effects in temperate lakes are likely to be more pronounced than in other ecosystems. Decreases in snow and ice cover extent and duration, as well as extended periods of summer stratification have been observed in temperate lake systems throughout the Anthropocene. However, the effects of changing snow and ice cover upon lacustrine communities remain largely uninvestigated. Here, we examined underwater light climate and associated primary productivity patterns under snow-covered and clear lake ice in 6 inland lakes in Minnesota, USA, spanning gradients of water column optical properties (blue, green, brown) associated with trophic status and organic material content. In all lakes, snow cover influenced not only the intensity, but also the spectral signature of light penetrating into the water column. Specifically, the wavelength of maximum penetration was shifted towards longer wavelengths under snow cover in green (eutrophic) lakes, while it was shifted towards shorter wavelengths in blue and brown lakes. Volumetric primary productivity was often higher than anticipated (e.g. ∼1200 mg · m</span><sup>-3</sup><span>&nbsp;· d</span><sup>-1</sup><span>; L. Minnetonka, snow-covered ice). Carbon assimilation rates were lower under snow-covered ice throughout the water column in all lake types, except immediately under cleared ice in eutrophic lakes, where it is likely that phytoplankton were photo-inhibited due to penetration of intense, short-wavelength light. These findings suggest that changing patterns of snow and ice cover under ongoing climate change scenarios can affect patterns of phytoplankton primary productivity in sensitive aquatic ecosystems.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/20442041.2022.2102870","usgsCitation":"Bramburger, A.J., Ozersky, T., Silsbe, G.M., Crawford, C., Olmanson, L., and Shchapov, K., 2023, The not-so-dead of winter: Underwater light climate and primary productivity under snow and ice cover in inland lakes: Inland Waters, v. 13, no. 1, p. 1-12, https://doi.org/10.1080/20442041.2022.2102870.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-117588","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":404654,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Ted","contributorId":294394,"corporation":false,"usgs":false,"family":"Ozersky","given":"Ted","email":"","affiliations":[{"id":34699,"text":"University of Minnesota-Duluth","active":true,"usgs":false}],"preferred":false,"id":848009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silsbe, Greg M.","contributorId":294395,"corporation":false,"usgs":false,"family":"Silsbe","given":"Greg","email":"","middleInitial":"M.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":848010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":848011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olmanson, Leif","contributorId":294396,"corporation":false,"usgs":false,"family":"Olmanson","given":"Leif","email":"","affiliations":[{"id":37643,"text":"University of Minnesota-Twin Cities","active":true,"usgs":false}],"preferred":false,"id":848012,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shchapov, Krill","contributorId":294398,"corporation":false,"usgs":false,"family":"Shchapov","given":"Krill","affiliations":[{"id":34699,"text":"University of Minnesota-Duluth","active":true,"usgs":false}],"preferred":false,"id":848013,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241938,"text":"70241938 - 2023 - What controls suspended-sediment concentration and export in flooded agricultural tracts in the Sacramento-San Joaquin Delta?","interactions":[],"lastModifiedDate":"2023-03-31T13:49:09.714507","indexId":"70241938","displayToPublicDate":"2023-01-01T08:42:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"What controls suspended-sediment concentration and export in flooded agricultural tracts in the Sacramento-San Joaquin Delta?","docAbstract":"<p><span>We investigated wind-wave and suspended-sediment dynamics in Little Holland Tract and Liberty Island, two subsided former agricultural tracts in the Cache Slough complex in the northern Sacramento-San Joaquin Delta which were restored to tidal shallows to improve habitat. Turbidity, and thus suspended-sediment concentration (SSC), is important to habitat quality because some species of native fishes, including the Delta Smelt, are found preferentially in more turbid waters. Data from October 2015 to August 2016 show that average SSC was greater within Little Holland Tract than in the primary breach that connects the basin to surrounding channels: approximately twice as great at a shallower station farther from the breach and 15% greater at a deeper station closer to the breach. Suspended-sediment concentration within Little Holland Tract was directly related to wave shear stress and inversely related to water depth, based on linear regression. We used measurements of suspended-sediment flux (SSF) through the largest levee breaches to assess whether the enhanced SSC within Little Holland Tract is exported to surrounding waters, thus potentially increasing turbidity over a wider region. Cumulatively, sediment is exported through the Little Holland Tract breaches in winter and imported in summer, consistent with regional patterns in sediment flux, indicating that wind-wave re-suspension within the basin does not control sediment flux from Little Holland Tract on seasonal time-scales. Some sediment was exported during wind-wave events, and results show that sediment export is greater when primary breaches are located downwind of the basin rather than upwind.</span></p>","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2023v21iss1art4","usgsCitation":"Lacy, J.R., Dailey, E.T., and Morgan-King, T.L., 2023, What controls suspended-sediment concentration and export in flooded agricultural tracts in the Sacramento-San Joaquin Delta?: San Francisco Estuary and Watershed Science, v. 21, no. 1, 4, 28 p., https://doi.org/10.15447/sfews.2023v21iss1art4.","productDescription":"4, 28 p.","ipdsId":"IP-142229","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.15447/sfews.2023v21iss1art4","text":"Publisher Index Page"},{"id":415008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.63062609782116,\n              38.35052041849974\n            ],\n            [\n              -121.72889259399042,\n              38.35052041849974\n            ],\n            [\n              -121.72889259399042,\n              38.22757247707426\n            ],\n            [\n              -121.63062609782116,\n              38.22757247707426\n            ],\n            [\n              -121.63062609782116,\n              38.35052041849974\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lacy, Jessica R. 0000-0002-2797-6172","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":201703,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dailey, Evan T. 0000-0002-4382-3870 edailey@usgs.gov","orcid":"https://orcid.org/0000-0002-4382-3870","contributorId":195607,"corporation":false,"usgs":true,"family":"Dailey","given":"Evan","email":"edailey@usgs.gov","middleInitial":"T.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan-King, Tara L. 0000-0001-5632-5232 tamorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-5632-5232","contributorId":554,"corporation":false,"usgs":true,"family":"Morgan-King","given":"Tara","email":"tamorgan@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":868286,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70240785,"text":"70240785 - 2023 - The future of coastal monitoring through satellite remote sensing","interactions":[],"lastModifiedDate":"2023-02-22T14:31:44.228534","indexId":"70240785","displayToPublicDate":"2023-01-01T08:26:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12971,"text":"Cambridge Prisms: Coastal Futures","active":true,"publicationSubtype":{"id":10}},"title":"The future of coastal monitoring through satellite remote sensing","docAbstract":"<p><span>Satellite remote sensing is transforming coastal science from a “data-poor” field into a “data-rich” field. Sandy beaches are dynamic landscapes that change in response to long-term pressures, short-term pulses, and anthropogenic interventions. Until recently, the rate and breadth of beach change have outpaced our ability to monitor those changes, due to the spatiotemporal limitations of our observational capacity. Over the past several decades, only a handful of beaches worldwide have been regularly monitored with accurate yet expensive in situ surveys. The long-term coastal-change data of these few well-monitored beaches have led to in-depth understanding of many site-specific coastal processes. However, because the best-monitored beaches are not representative of all beaches, much remains unknown about the processes and fate of the other &gt;99% of unmonitored beaches worldwide. The fleet of Earth-observing satellites has enabled multiscale monitoring of beaches, for the very first time, by providing imagery with global coverage and up to daily frequency. The long-standing and ever-expanding archive of satellite imagery will enable coastal scientists to investigate coastal change at sites vulnerable to future sea-level rise, that is, (almost) everywhere. In the past decade, our capability to observe coastal change from space has grown substantially with computing and algorithmic power. Yet, further advances are needed in automating monitoring using machine learning, deep learning, and computer vision to fully leverage this massive treasure trove of data. Extensive monitoring and investigation of the causes and effects of coastal change at the requisite spatiotemporal scales will provide coastal managers with additional, valuable information to evaluate problems and solutions, addressing the potential for widespread beach loss due to accelerated sea-level rise, development, and reduced sediment supply. Monitoring from Earth-observing satellites is currently the only means of providing seamless data with high spatiotemporal resolution at the global scale of the impending impacts of climate change on coastal systems.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/cft.2022.4","usgsCitation":"Vitousek, S., Buscombe, D., Vos, K., Barnard, P.L., Ritchie, A.C., and Warrick, J.A., 2023, The future of coastal monitoring through satellite remote sensing: Cambridge Prisms: Coastal Futures, v. 1, e10, 18 p., https://doi.org/10.1017/cft.2022.4.","productDescription":"e10, 18 p.","ipdsId":"IP-144564","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444986,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/cft.2022.4","text":"Publisher Index Page"},{"id":413282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationDate":"2022-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":864827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buscombe, Dan","contributorId":302609,"corporation":false,"usgs":false,"family":"Buscombe","given":"Dan","email":"","affiliations":[{"id":65516,"text":"Marda Science","active":true,"usgs":false}],"preferred":false,"id":864828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vos, Kilian","contributorId":302610,"corporation":false,"usgs":false,"family":"Vos","given":"Kilian","affiliations":[{"id":65517,"text":"University of New South Wales - Sydney","active":true,"usgs":false}],"preferred":false,"id":864829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":864830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":864831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":864832,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70240778,"text":"70240778 - 2023 - Skeletal indicators of locomotor adaptations in shrews","interactions":[],"lastModifiedDate":"2023-02-22T14:24:43.331761","indexId":"70240778","displayToPublicDate":"2023-01-01T08:21:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13293,"text":"Therya","active":true,"publicationSubtype":{"id":10}},"title":"Skeletal indicators of locomotor adaptations in shrews","docAbstract":"<p><span>The Soricidae (Mammalia: Eulypotyphla) comprises more than 450 species inhabiting a variety of habitats on five continents.&nbsp; As a family, shrews employ a variety of locomotor modes that incorporate ambulatory, fossorial, aquatic, and scansorial behaviors, illustrating an ability to exploit a variety of natural substrates and their associated resources.&nbsp; In this study, the association of skeletal morphology and three of the dominant locomotor modes in the family—ambulatory, semi-fossorial, and semi-aquatic behaviors—was investigated in up to 52 species of 12 genera representing all three subfamilies of Soricidae.&nbsp; From skeletal measures, 34 morphological indices were calculated, most of which have been used previously to characterize substrate use among shrews, rodents, and other mammals, and analyzed for their individual effectiveness for discriminating the three locomotory modes.&nbsp; To assess their effectiveness in combination, subsets of locomotor indices were analyzed using 1) mean percentile ranks, 2) the first principal component from principal components analysis, and 3) plots and classifications from discriminant function analyses.&nbsp; In general, the three methods effectively identified and grouped the three locomotor modes and identified smaller subsets.&nbsp; Additional analyses were then used to classify the locomotor behaviors of five species whose locomotor modes were unknown or ambiguous.&nbsp; The analyses reinforce and broaden the scope of a previously identified observation of the wide range of grades of morphological variation that may permit an equally diverse range of locomotor abilities among the Soricidae.</span></p>","language":"English","publisher":"Asociación Mexicana de Mastozoología A. C.","doi":"10.12933/therya-23-2218","usgsCitation":"Woodman, N., 2023, Skeletal indicators of locomotor adaptations in shrews: Therya, v. 14, no. 1, p. 15-37, https://doi.org/10.12933/therya-23-2218.","productDescription":"23 p.","startPage":"15","endPage":"37","ipdsId":"IP-147190","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":444989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.12933/therya-23-2218","text":"Publisher Index Page"},{"id":413281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":864803,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70244228,"text":"70244228 - 2023 - The Searsville Lake Site (California, USA) as a candidate Global boundary Stratotype Section and Point for the Anthropocene series","interactions":[],"lastModifiedDate":"2023-06-08T13:26:30.124744","indexId":"70244228","displayToPublicDate":"2023-01-01T08:09:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13447,"text":"The Anthropocene Review","active":true,"publicationSubtype":{"id":10}},"title":"The Searsville Lake Site (California, USA) as a candidate Global boundary Stratotype Section and Point for the Anthropocene series","docAbstract":"<p><span>Cores from Searsville Lake within Stanford University’s Jasper Ridge Biological Preserve, California, USA, are examined to identify a potential GSSP for the Anthropocene: core JRBP2018-VC01B (944.5 cm-long) and tightly correlated JRBP2018-VC01A (852.5 cm-long). Spanning from 1900 CE ± 3 years to 2018 CE, a secure chronology resolved to the sub-annual level allows detailed exploration of the Holocene-Anthropocene transition. We identify the primary GSSP marker as first appearance of&nbsp;</span><sup>239,240</sup><span>Pu (372–374 cm) in JRBP2018-VC01B and designate the GSSP depth as the distinct boundary between wet and dry season at 366 cm (6 cm above the first sample containing&nbsp;</span><sup>239,240</sup><span>Pu) and corresponding to October-December 1948 CE. This is consistent with a lag of 1–2 years between ejection of&nbsp;</span><sup>239,240</sup><span>Pu into the atmosphere and deposition. Auxiliary markers include: first appearance of&nbsp;</span><sup>137</sup><span>Cs in 1958; late 20th-century decreases in δ</span><sup>15</sup><span>N; late 20th-century elevation in SCPs, Hg, Pb, and other heavy metals; and changes in abundance and presence of ostracod, algae, rotifer and protozoan microfossils. Fossil pollen document anthropogenic landscape changes related to logging and agriculture. As part of a major university, the Searsville site has long been used for research and education, serves users locally to internationally, and is protected yet accessible for future studies and communication about the Anthropocene.</span></p>","language":"English","publisher":"Sage Publishing","doi":"10.1177/20530196221144098","usgsCitation":"Stegner, M.A., Hadly, E.A., Barnosky, A.D., La Selle, S., Sherrod, B.L., Anderson, R., Redondo, S.A., Viteri, M., Weaver, K., Cundy, A., Gaca, P., Rose, N., Yang, H., Roberts, S.A., Hajdas, I., Black, B.A., and Spanbauer, T., 2023, The Searsville Lake Site (California, USA) as a candidate Global boundary Stratotype Section and Point for the Anthropocene series: The Anthropocene Review, v. 10, no. 1, p. 116-145, https://doi.org/10.1177/20530196221144098.","productDescription":"30 p.","startPage":"116","endPage":"145","ipdsId":"IP-143228","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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Allison","contributorId":197658,"corporation":false,"usgs":false,"family":"Stegner","given":"M.","email":"","middleInitial":"Allison","affiliations":[],"preferred":false,"id":874931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hadly, Elizabeth A.","contributorId":197554,"corporation":false,"usgs":false,"family":"Hadly","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":874932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnosky, Anthony D.","contributorId":197553,"corporation":false,"usgs":false,"family":"Barnosky","given":"Anthony","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":874933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":874934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":874935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, R. Scott","contributorId":6983,"corporation":false,"usgs":false,"family":"Anderson","given":"R. Scott","affiliations":[{"id":7034,"text":"School of Earth Sciences and Environmental Sustainability at Northern Arizona University, in Flagstaff","active":true,"usgs":false}],"preferred":false,"id":874936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Redondo, Sergio A.","contributorId":169998,"corporation":false,"usgs":false,"family":"Redondo","given":"Sergio","email":"","middleInitial":"A.","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":874937,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Viteri, Maria 0000-0002-3751-1045","orcid":"https://orcid.org/0000-0002-3751-1045","contributorId":306175,"corporation":false,"usgs":false,"family":"Viteri","given":"Maria","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":874939,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weaver, Karrie 0000-0002-7094-3501","orcid":"https://orcid.org/0000-0002-7094-3501","contributorId":306174,"corporation":false,"usgs":false,"family":"Weaver","given":"Karrie","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":874938,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cundy, Andrew","contributorId":302914,"corporation":false,"usgs":false,"family":"Cundy","given":"Andrew","affiliations":[{"id":65579,"text":"Ocean and Earth Science, National Oceanography Centre Southampton, UK","active":true,"usgs":false}],"preferred":false,"id":874992,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gaca, Pawel","contributorId":302913,"corporation":false,"usgs":false,"family":"Gaca","given":"Pawel","email":"","affiliations":[{"id":65579,"text":"Ocean and Earth Science, National Oceanography Centre Southampton, UK","active":true,"usgs":false}],"preferred":false,"id":874993,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rose, Neil","contributorId":289606,"corporation":false,"usgs":false,"family":"Rose","given":"Neil","affiliations":[],"preferred":false,"id":874994,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Yang, Handong","contributorId":306191,"corporation":false,"usgs":false,"family":"Yang","given":"Handong","email":"","affiliations":[],"preferred":false,"id":874995,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Roberts, Sarah A. 0000-0003-2608-4727","orcid":"https://orcid.org/0000-0003-2608-4727","contributorId":194599,"corporation":false,"usgs":true,"family":"Roberts","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874996,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hajdas, Irka","contributorId":97272,"corporation":false,"usgs":true,"family":"Hajdas","given":"Irka","email":"","affiliations":[],"preferred":false,"id":874997,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":874940,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Spanbauer, Trisha","contributorId":146435,"corporation":false,"usgs":false,"family":"Spanbauer","given":"Trisha","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":874941,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70239356,"text":"70239356 - 2023 - Improving the operational simplified surface energy balance evapotranspiration model using the forcing and normalizing operation","interactions":[],"lastModifiedDate":"2023-01-10T13:18:25.464452","indexId":"70239356","displayToPublicDate":"2023-01-01T07:17:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Improving the operational simplified surface energy balance evapotranspiration model using the forcing and normalizing operation","docAbstract":"<div class=\"html-p\">Actual evapotranspiration modeling is providing useful information for researchers and resource managers in agriculture and water resources around the world. The performance of models depends on the accuracy of forcing inputs and model parameters. We developed an improved approach to the parameterization of the Operational Simplified Surface Energy Balance (SSEBop) model using the Forcing and Normalizing Operation (FANO). SSEBop has two key model parameters that define the model boundary conditions. The FANO algorithm computes the wet-bulb boundary condition using a linear FANO Equation relating surface temperature, surface psychrometric constant, and the Normalized Difference Vegetation Index (NDVI). The FANO parameterization was implemented on two computing platforms using Landsat and gridded meteorological datasets: (1) Google Earth Engine (GEE) and (2) Earth Resources Observation and Science (EROS) Center Science Processing Architecture (ESPA). Evaluation was conducted by comparing modeled actual evapotranspiration (<span class=\"html-italic\">ETa</span>) estimates with AmeriFlux eddy covariance (EC) and water balance<span>&nbsp;</span><span class=\"html-italic\">ETa</span><span>&nbsp;</span>from level-8 Hydrologic Unit Code sub-basins in the conterminous United States. FANO brought substantial improvements in model accuracy and operational implementation. Compared to the earlier version (v0.1.7), SSEBop FANO (v0.2.6) reduced grassland bias from 47% to −2% while maintaining comparable bias for croplands (11% versus −7%) against EC data. A water balance-based<span>&nbsp;</span><span class=\"html-italic\">ETa</span><span>&nbsp;</span>bias evaluation showed an overall improvement from 7% to −1%. Climatology versus annual gridded reference evapotranspiration (<span class=\"html-italic\">ETr</span>) produced comparable<span>&nbsp;</span><span class=\"html-italic\">ETa</span><span>&nbsp;</span>results, justifying the use of climatology<span>&nbsp;</span><span class=\"html-italic\">ETr</span><span>&nbsp;</span>for the global SSEBop Landsat<span>&nbsp;</span><span class=\"html-italic\">ETa</span><span>&nbsp;</span>that is accessible through the ESPA website. Besides improvements in model accuracy, SSEBop FANO increases the spatiotemporal coverage of ET modeling due to the elimination of high NDVI requirements for model parameterization. Because of the existence of potential biases from forcing inputs and model parameters, continued evaluation and bias corrections are necessary to improve the absolute magnitude of<span>&nbsp;</span><span class=\"html-italic\">ETa</span><span>&nbsp;</span>for localized water budget applications.</div>","language":"English","publisher":"MDPI","doi":"10.3390/rs15010260","usgsCitation":"Senay, G.B., Parrish, G.E., Schauer, M., Friedrichs, M., Khand, K., Boiko, O., Kagone, S., Dittmeier, R., Arab, S., and Ji, L., 2023, Improving the operational simplified surface energy balance evapotranspiration model using the forcing and normalizing operation: Remote Sensing, v. 15, no. 1, 260, 25 p., https://doi.org/10.3390/rs15010260.","productDescription":"260, 25 p.","ipdsId":"IP-146439","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":444995,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs15010260","text":"Publisher Index Page"},{"id":435525,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NKWT3D","text":"USGS data release","linkHelpText":"Forcing and Normalizing Operation (FANO) method for the Operational Simplified Surface Energy Balance (SSEBop) ET model"},{"id":411621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":861239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, Gabriel Edwin Lee 0000-0003-4078-3516","orcid":"https://orcid.org/0000-0003-4078-3516","contributorId":267751,"corporation":false,"usgs":false,"family":"Parrish","given":"Gabriel","email":"","middleInitial":"Edwin Lee","affiliations":[{"id":55490,"text":"Innovate! Inc., Contractor to the USGS EROS Center","active":true,"usgs":false}],"preferred":false,"id":861240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":181608,"corporation":false,"usgs":false,"family":"Schauer","given":"Matthew","affiliations":[],"preferred":false,"id":861241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":199093,"corporation":false,"usgs":false,"family":"Friedrichs","given":"MacKenzie","affiliations":[],"preferred":false,"id":861242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Khand, Kul Bikram 0000-0002-1593-1508","orcid":"https://orcid.org/0000-0002-1593-1508","contributorId":259185,"corporation":false,"usgs":false,"family":"Khand","given":"Kul Bikram","affiliations":[{"id":52326,"text":"AFDS, Contractor to USGS ERSOS Center","active":true,"usgs":false}],"preferred":false,"id":861243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boiko, Olena 0000-0002-2007-7852","orcid":"https://orcid.org/0000-0002-2007-7852","contributorId":272079,"corporation":false,"usgs":false,"family":"Boiko","given":"Olena","email":"","affiliations":[{"id":56343,"text":"KBR, Contractor to USGS Earth Resources Observation and Science Center","active":true,"usgs":false}],"preferred":false,"id":861244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":199091,"corporation":false,"usgs":false,"family":"Kagone","given":"Stefanie","affiliations":[],"preferred":false,"id":861245,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dittmeier, Ray","contributorId":299963,"corporation":false,"usgs":false,"family":"Dittmeier","given":"Ray","email":"","affiliations":[{"id":61731,"text":"KBR","active":true,"usgs":false}],"preferred":false,"id":861246,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arab, Saeed 0000-0003-1602-8801","orcid":"https://orcid.org/0000-0003-1602-8801","contributorId":299964,"corporation":false,"usgs":false,"family":"Arab","given":"Saeed","email":"","affiliations":[{"id":61731,"text":"KBR","active":true,"usgs":false}],"preferred":false,"id":861247,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ji, Lei 0000-0002-6133-1036","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":272078,"corporation":false,"usgs":false,"family":"Ji","given":"Lei","affiliations":[{"id":56342,"text":"ASRC Federal Data Solutions, Contractor to USGS Earth Resources Observation and Science Center","active":true,"usgs":false}],"preferred":false,"id":861248,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70229507,"text":"70229507 - 2023 - Vulnerable waters are essential to watershed resilience","interactions":[],"lastModifiedDate":"2024-05-20T13:45:00.529401","indexId":"70229507","displayToPublicDate":"2023-01-01T06:36:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerable waters are essential to watershed resilience","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Watershed resilience is the ability of a watershed to maintain its characteristic system state while concurrently resisting, adapting to, and reorganizing after hydrological (for example, drought, flooding) or biogeochemical (for example, excessive nutrient) disturbances. Vulnerable waters include non-floodplain wetlands and headwater streams, abundant watershed components representing the most distal extent of the freshwater aquatic network. Vulnerable waters are hydrologically dynamic and biogeochemically reactive aquatic systems, storing, processing, and releasing water and entrained (that is, dissolved and particulate) materials along expanding and contracting aquatic networks. The hydrological and biogeochemical functions emerging from these processes affect the magnitude, frequency, timing, duration, storage, and rate of change of material and energy fluxes among watershed components and to downstream waters, thereby maintaining watershed states and imparting watershed resilience. We present here a conceptual framework for understanding how vulnerable waters confer watershed resilience. We demonstrate how individual and cumulative vulnerable-water modifications (for example, reduced extent, altered connectivity) affect watershed-scale hydrological and biogeochemical disturbance response and recovery, which decreases watershed resilience and can trigger transitions across thresholds to alternative watershed states (for example, states conducive to increased flood frequency or nutrient concentrations). We subsequently describe how resilient watersheds require spatial heterogeneity and temporal variability in hydrological and biogeochemical interactions between terrestrial systems and down-gradient waters, which necessitates attention to the conservation and restoration of vulnerable waters and their downstream connectivity gradients. To conclude, we provide actionable principles for resilient watersheds and articulate research needs to further watershed resilience science and vulnerable-water management.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10021-021-00737-2","usgsCitation":"Lane, C., Creed, I., Golden, H.E., Leibowitz, S.G., Mushet, D., Rains, M.C., Wu, Q., D’Amico, E., Alexander, L., Ali, G.A., Basu, N.B., Bennett, M.G., Christensen, J.R., Cohen, M.J., Covino, T.P., DeVries, B., Hill, R.A., Jencso, K.G., Lang, M.W., McLaughlin, D.L., Rosenberry, D., Rover, J., and Vanderhoof, M.K., 2023, Vulnerable waters are essential to watershed resilience: Ecosystems, v. 26, p. 1-28, https://doi.org/10.1007/s10021-021-00737-2.","productDescription":"28 p.","startPage":"1","endPage":"28","ipdsId":"IP-126168","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":444998,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10021-021-00737-2","text":"Publisher Index Page"},{"id":396895,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2022-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":837631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creed, Irena F.","contributorId":81209,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":27655,"text":"Department of Biology, University of Western Ontario, London, ON Canada","active":true,"usgs":false}],"preferred":false,"id":837632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":837633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leibowitz, Scott G.","contributorId":156432,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","email":"","middleInitial":"G.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":837634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, David M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":248468,"corporation":false,"usgs":true,"family":"Mushet","given":"David M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":837635,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rains, Mark C.","contributorId":138983,"corporation":false,"usgs":false,"family":"Rains","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":837636,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wu, Qiusheng","contributorId":208272,"corporation":false,"usgs":false,"family":"Wu","given":"Qiusheng","email":"","affiliations":[{"id":37769,"text":"Binghamton University","active":true,"usgs":false}],"preferred":false,"id":837637,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"D’Amico, Ellen","contributorId":156399,"corporation":false,"usgs":false,"family":"D’Amico","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":837638,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":837639,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ali, Genevieve A.","contributorId":288292,"corporation":false,"usgs":false,"family":"Ali","given":"Genevieve","email":"","middleInitial":"A.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":837640,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Basu, Nandita B.","contributorId":288293,"corporation":false,"usgs":false,"family":"Basu","given":"Nandita","email":"","middleInitial":"B.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":837641,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bennett, Micah G.","contributorId":288294,"corporation":false,"usgs":false,"family":"Bennett","given":"Micah","email":"","middleInitial":"G.","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":837642,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Christensen, Jay 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,{"id":70256535,"text":"70256535 - 2023 - Characterization of fish assemblages in eleven multi-use reservoirs from North Carolina, USA","interactions":[],"lastModifiedDate":"2024-08-19T16:18:20.789737","indexId":"70256535","displayToPublicDate":"2023-01-01T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of fish assemblages in eleven multi-use reservoirs from North Carolina, USA","docAbstract":"<p><span>Managing impounded river systems is a recurring challenge for aquatic resource professionals because reservoirs serve multiple functions with different ecological and socioeconomic outcomes. However, research on fishes in reservoirs has disproportionally focused on recreationally and economically important species, with less attention directed toward fish assemblages despite the potential for management at the assemblage level. As such, evaluation of relationships between reservoir fish assemblages and biotic and abiotic factors and testing whether assemblage structure is affected by changing environmental conditions may deepen ecological understanding and provide insights for reservoir fisheries management. Our overall objective was to assess these relationships in 11 reservoirs from North Carolina, USA. We sampled fish assemblages in the reservoirs, which spanned five river basins representing a range of habitat conditions, using experimental gillnets and pulsed DC nighttime electrofishing. Multivariate statistical analyses indicated that taxonomic differences in fish assemblage composition among river basins followed a gradient of productivity. The top contributing species to reservoir dissimilarity were bluegill (</span><i>Lepomis macrochirus</i><span>), gizzard shad (</span><i>Dorosoma cepedianum</i><span>), black crappie (</span><i>Pomoxis nigromaculatus</i><span>), and white perch (</span><i>Morone americana</i><span>). These four species were positively associated with factors that reflect increasing eutrophic conditions in the 11 reservoirs and could, therefore, serve as indicators of reservoir productivity, anthropogenic influence, and fish assemblage structure, in addition to their key role in reservoir fisheries management. Whereas ­fisheries research has historically focused on assessing fish ­populations, our results illustrate the ecological and management insights derived from simultaneously collecting assemblage- and population-level data. Research on reservoir fish assemblages in relation to biotic and abiotic conditions may help advance fish ecology and management alike.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2023.2241494","usgsCitation":"Parker, S.W., Coleman, T.S., Carlson, A.K., and Fischer, J., 2023, Characterization of fish assemblages in eleven multi-use reservoirs from North Carolina, USA: Journal of Freshwater Ecology, v. 38, no. 1, e2241494, 21 p., https://doi.org/10.1080/02705060.2023.2241494.","productDescription":"e2241494, 21 p.","ipdsId":"IP-135242","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":445000,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2023.2241494","text":"Publisher Index Page"},{"id":432884,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Carolina\",\"nation\":\"USA  \"}}]}","volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Stephen W.","contributorId":341050,"corporation":false,"usgs":false,"family":"Parker","given":"Stephen","email":"","middleInitial":"W.","affiliations":[{"id":81695,"text":"North Carolina Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":907857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman, Tyler Steven","contributorId":340579,"corporation":false,"usgs":false,"family":"Coleman","given":"Tyler","email":"","middleInitial":"Steven","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":907858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, Andrew Kenneth 0000-0002-6681-0853","orcid":"https://orcid.org/0000-0002-6681-0853","contributorId":340581,"corporation":false,"usgs":true,"family":"Carlson","given":"Andrew","email":"","middleInitial":"Kenneth","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fischer, Jesse R.","contributorId":86618,"corporation":false,"usgs":true,"family":"Fischer","given":"Jesse R.","affiliations":[],"preferred":false,"id":907859,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266444,"text":"70266444 - 2023 - Fish community characterization of mid-shelf and shelf-edge mesophotic coral ecosystems in the expanded Flower Garden Banks National Marine Sanctuary","interactions":[],"lastModifiedDate":"2025-05-07T14:58:55.404857","indexId":"70266444","displayToPublicDate":"2023-01-01T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1106,"text":"Bulletin of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Fish community characterization of mid-shelf and shelf-edge mesophotic coral ecosystems in the expanded Flower Garden Banks National Marine Sanctuary","docAbstract":"The mid to outer continental shelf in the northern Gulf of Mexico is composed of a patchy distribution of coral and rock reefs designated high priority for marine protection. To better understand the influence of deepwater habitat on fish community dynamics and conservation needs, we compared altiphotic-mesophotic transition (20– 40 m), upper mesophotic (40–60 m), and middle mesophotic (60–80 m) fish communities between mid-shelf (Sonnier Bank) and outer-shelf (McGrail Bank) banks from before their inclusion into the Flower Garden Banks National Marine Sanctuary. Surveys performed over two years with a remotely operated vehicle indicated that each bank and depth zone had distinct fish communities. Both banks were dominated by planktivores and piscivores, with an increase in depth specialists (e.g., deepwater anthiids and serranids) at the deeper zones surveyed, particularly in middle mesophotic depths at McGrail. An increased frequency of snappers, groupers, and amberjack was observed at Sonnier Bank, predominately in mesophotic depths, indicating the Sonnier Mesophotic Coral Ecosystem as either a hotspot or potential refuge for meso- and apex predators. This study fills a temporal gap in fish community dynamics of these two banks, serving to create a more continuous dataset available to assist in conservation assessments of the Flower Garden Banks National Marine Sanctuary.","language":"English","publisher":"ingenta","doi":"10.5343/bms.2022.0014","usgsCitation":"Sanchez, P., Dance, M.A., Kraus, R., Hill, R., and Rooker, J.R., 2023, Fish community characterization of mid-shelf and shelf-edge mesophotic coral ecosystems in the expanded Flower Garden Banks National Marine Sanctuary: Bulletin of Marine Science, v. 99, no. 1, p. 41-50, https://doi.org/10.5343/bms.2022.0014.","productDescription":"10 p.","startPage":"41","endPage":"50","ipdsId":"IP-122894","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":499848,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/oceanography_coastal_pubs/728","text":"External Repository"},{"id":485508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Flower Garden Banks National Marine Sanctuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.90555626565997,\n              29.365537838505034\n            ],\n            [\n              -94.90555626565997,\n              29.23384746218457\n            ],\n            [\n              -94.725130313839,\n              29.23384746218457\n            ],\n            [\n              -94.725130313839,\n              29.365537838505034\n            ],\n            [\n              -94.90555626565997,\n              29.365537838505034\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"99","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sanchez, Phillip J.","contributorId":354613,"corporation":false,"usgs":false,"family":"Sanchez","given":"Phillip J.","affiliations":[{"id":78411,"text":"Texas A&M University at Galveston","active":true,"usgs":false}],"preferred":false,"id":935984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dance, Michael A.","contributorId":213049,"corporation":false,"usgs":false,"family":"Dance","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":935985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":935986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, Ronald L.","contributorId":354614,"corporation":false,"usgs":false,"family":"Hill","given":"Ronald L.","affiliations":[{"id":38123,"text":"NOAA-Fisheries","active":true,"usgs":false}],"preferred":false,"id":935987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rooker, Jay R.","contributorId":213048,"corporation":false,"usgs":false,"family":"Rooker","given":"Jay","email":"","middleInitial":"R.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":935988,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263336,"text":"70263336 - 2023 - Latency and geofence testing of wireless emergency alerts intended for the ShakeAlert® earthquake early warning system for the West Coast of the United States of America","interactions":[],"lastModifiedDate":"2025-02-06T15:25:21.459341","indexId":"70263336","displayToPublicDate":"2023-01-01T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20071,"text":"Safety Science","active":true,"publicationSubtype":{"id":10}},"title":"Latency and geofence testing of wireless emergency alerts intended for the ShakeAlert® earthquake early warning system for the West Coast of the United States of America","docAbstract":"<p><span>ShakeAlert, the earthquake early warning (EEW) system for the West Coast of the United States, attempts to provides crucial warnings before strong shaking occurs. However, because the alerts are triggered only when an earthquake is already in progress, and the alert latencies and delivery times are platform dependent, the time between these warnings and the arrival of shaking is variable. The ShakeAlert system uses, among other public alerting platforms like a mobile phone operating system, smartphone apps, and the Federal Emergency Management Agency Integrated Public Alert &amp; Warning System (IPAWS). IPAWS sends Wireless Emergency Alerts (WEAs) informing people via their smartphones and other mobile devices about various events, such as natural hazards, child abductions, or public health information about COVID-19. However, little is known about the IPAWS delivery latencies. Given that people may have only a few seconds of notice after they receive an alert to take a protective action before they feel earthquake shaking, quantifying latencies is critical to understanding whether the IPAWS system is useful for EEW. In this study, we developed new methods to test the IPAWS distribution system's performance, both with devices in a controlled environment and as well as with a 2019 community-based feedback form, in Oakland and San Diego County, California, respectively. The controlled environment test used mobile phones (including smart and non-smart phones) and associated devices to determine alert receipt times; the community research form had participants self-report their receipt times. By triangulating the data between the controlled test environment and the community research, we determined the latency statistics as well as whether the geofence (the geographic area where the alert was intended to be sent) held broadly. We found that the latencies were similar between the two tests despite the large differences in population sizes. WEA messages were received within a median time frame of 6–12&nbsp;s, and the geofence held with only a few exceptions. We use this latency to assess how the system would have performed in two large earthquakes, the 1989 M6.9 Loma Prieta and 2019 M7.1 Ridgecrest earthquakes, which both occurred near our WEA test locations. Our analysis revealed that had IPAWS been available during those earthquakes, particularly Loma Prieta, it would have provided crucial seconds of notice that damaging shaking was imminent in some locations relatively far from the epicenter. Further, we find affordable non-smart phones can receive WEAs as fast as smartphones. Finally, our new method can be used for latency and geospatial testing going forward for IPAWS and other similar alerting systems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ssci.2022.105898","usgsCitation":"McBride, S., Sumy, D.F., Llenos, A.L., Parker, G., McGuire, J.J., Saunders, J.K., Meier, M., Schuback, P., Given, D., and deGroot, R.M., 2023, Latency and geofence testing of wireless emergency alerts intended for the ShakeAlert® earthquake early warning system for the West Coast of the United States of America: Safety Science, v. 157, 105898, 16 p., https://doi.org/10.1016/j.ssci.2022.105898.","productDescription":"105898, 16 p.","ipdsId":"IP-121760","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ssci.2022.105898","text":"Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":926498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saunders, Jessie Kate 0000-0001-5340-6715","orcid":"https://orcid.org/0000-0001-5340-6715","contributorId":290634,"corporation":false,"usgs":true,"family":"Saunders","given":"Jessie","email":"","middleInitial":"Kate","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926499,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meier, Men-Andrin 0000-0002-2949-8602","orcid":"https://orcid.org/0000-0002-2949-8602","contributorId":293577,"corporation":false,"usgs":false,"family":"Meier","given":"Men-Andrin","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":926500,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schuback, Pascal","contributorId":350666,"corporation":false,"usgs":false,"family":"Schuback","given":"Pascal","affiliations":[],"preferred":false,"id":926577,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Given, Douglas D. doug@usgs.gov","contributorId":3253,"corporation":false,"usgs":true,"family":"Given","given":"Douglas D.","email":"doug@usgs.gov","affiliations":[],"preferred":true,"id":926578,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"deGroot, Robert Michael 0000-0001-9995-4207","orcid":"https://orcid.org/0000-0001-9995-4207","contributorId":239577,"corporation":false,"usgs":true,"family":"deGroot","given":"Robert","email":"","middleInitial":"Michael","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926502,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70248892,"text":"70248892 - 2023 - Causality-informed Bayesian inference for rapid seismic ground failure and building damage estimation","interactions":[],"lastModifiedDate":"2024-02-29T15:59:09.868044","indexId":"70248892","displayToPublicDate":"2022-12-31T09:57:57","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Causality-informed Bayesian inference for rapid seismic ground failure and building damage estimation","docAbstract":"Rapid and accurate estimates of seismic ground failure and building damage are beneficial to efficient emergency response and post-earthquake recovery. Traditional approaches, such as physical and geospatial models, have poor accuracy and resolution due to large uncertainties and the limited availability of informing geospatial layers. The introduction of remote sensing techniques has shown potential in providing supplementary information for rapid hazard estimation by analyzing earthquake-induced correlation changes between pre- and post-event satellite images. However, the changes in satellite images are the result of overlapping ground failure, building damage, and environmental noise, making it challenging to categorize and estimate different seismic hazards and impacts directly from satellite images.Here we design a novel causality-informed Bayesian network that continuously updates seismic ground failure and building damage estimates from satellite images by modeling the physical interdependencies between geospatial features, ground failure, building footprints, building damage, and satellite images. The incorporation of physical interdependencies allows an effective fusion of physical models and rich but noisy information from remote sensing observations and reduces bias and uncertainties in estimations. Our experiments show that integrating satellite images through our Bayesian network improves the accuracy of seismic ground failure and building damage estimations.","conferenceTitle":"12th National Conference on Earthquake Engineering","conferenceDate":"June 27-July 1, 2022","conferenceLocation":"Salt Lake City, UT","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Wald, D.J., Xu, S., Dimasaka, J., and Noh, H., 2023, Causality-informed Bayesian inference for rapid seismic ground failure and building damage estimation, 12th National Conference on Earthquake Engineering, Salt Lake City, UT, June 27-July 1, 2022, 5 p.","productDescription":"5 p.","ipdsId":"IP-134888","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":426129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":421114,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://12ncee.org/program/proceedings"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":884115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, Susu","contributorId":300127,"corporation":false,"usgs":false,"family":"Xu","given":"Susu","email":"","affiliations":[{"id":65025,"text":"Stony Brook University, NY, USA","active":true,"usgs":false}],"preferred":false,"id":884116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dimasaka, J.","contributorId":330154,"corporation":false,"usgs":false,"family":"Dimasaka","given":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":884117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noh, H.","contributorId":330155,"corporation":false,"usgs":false,"family":"Noh","given":"H.","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":884118,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254987,"text":"70254987 - 2023 - Relative-condition parameters for fishes of Montana, USA","interactions":[],"lastModifiedDate":"2024-06-11T14:47:25.713532","indexId":"70254987","displayToPublicDate":"2022-12-31T09:43:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6476,"text":"Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Relative-condition parameters for fishes of Montana, USA","docAbstract":"<p><span>Body condition indices are commonly used in the management of fish populations and are a surrogate to physiological attributes such as tissue-energy reserves. Relative condition factor (</span><span class=\"html-italic\">K<sub>n</sub></span><span>) describes the condition of species relative to populations in a geographic area. We developed models to allow for the calculation of&nbsp;</span><span class=\"html-italic\">K<sub>n</sub></span><span>&nbsp;in Montana, USA by using the weight–length data collected by Montana Fish, Wildlife &amp; Parks. We generated log</span><sub>10</sub><span>weight–log</span><sub>10</sub><span>length relationships to obtain Montana specific parameter estimates for relative condition equations (</span><span class=\"html-italic\">W′</span><span>) for 51 species and three subspecies. We developed separate models by water type (e.g., lotic and lentic) and sex for five species due to varying growth based on sexual dimorphism and varying ecosystem types. Relative condition offers the advantage of describing body condition relative to species in Montana, provides a condition index for species that do not have standard-weight models developed for relative weight (</span><span class=\"html-italic\">Wr</span><span>), and affords more information for the global database on weight–length relationships of fishes.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/fishes8010028","usgsCitation":"Eckelbecker, R.W., Heili, N.M., Guy, C.S., and Schmetterling, D.A., 2023, Relative-condition parameters for fishes of Montana, USA: Fishes, v. 8, no. 1, 28, 8 p., https://doi.org/10.3390/fishes8010028.","productDescription":"28, 8 p.","ipdsId":"IP-139822","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":445003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fishes8010028","text":"Publisher Index Page"},{"id":429875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70239806,"text":"70239806 - 2023 - Trace elements in blood of sea ducks from Dutch Harbor and Izembek Lagoon, Alaska","interactions":[],"lastModifiedDate":"2023-07-11T15:52:17.015549","indexId":"70239806","displayToPublicDate":"2022-12-31T06:35:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Trace elements in blood of sea ducks from Dutch Harbor and Izembek Lagoon, Alaska","docAbstract":"<div id=\"14977758\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>In 2001, we collected whole blood from sea ducks (Steller’s eider Polysticta stelleri, harlequin duck Histrionicus histrionicus, black scoter Melanitta nigra, and long-tailed duck Clangula hyemalis) wintering at Dutch Harbor, Alaska, and from Steller’s eiders molting at Izembek Lagoon on the Alaska Peninsula. Blood samples were analyzed for 19 trace elements, of which 17 were detected in one or more samples. In Steller’s eiders, mean concentrations of six trace elements (As, B, Fe, Hg, Se, Mo) were greater at Dutch Harbor and mean concentrations of four trace elements (Cr, Cu, Mg, Zn) were greater at Izembek Lagoon. Among sea ducks at Dutch Harbor, mean concentrations of five trace elements (Cu, Hg, Se, Zn, V) differed by species. Steller’s eiders had greater concentrations of Cu, Zn, and V in their blood, black scoters had the highest Se, and harlequin ducks had the highest Hg, with a mean concentration slightly above a threshold effect level. One Steller’s eider and one harlequin duck from Dutch Harbor had blood Pb levels above background concentrations. We have no observations to indicate that concentrations of these trace elements were associated with adverse effects.</p></div>","language":"English","publisher":"Meridian Press","doi":"10.3996/JFWM-21-065","usgsCitation":"Franson, J.C., Hollmen, T.E., Flint, P.L., and Matz, A.C., 2023, Trace elements in blood of sea ducks from Dutch Harbor and Izembek Lagoon, Alaska: Journal of Fish and Wildlife Management, v. 14, no. 1, p. 41-50, https://doi.org/10.3996/JFWM-21-065.","productDescription":"10 p.","startPage":"41","endPage":"50","ipdsId":"IP-129934","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":445004,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3996/jfwm-21-065","text":"Publisher Index Page"},{"id":435527,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V17JYL","text":"USGS data release","linkHelpText":"Trace element data in whole blood collected in 2001 from Steller's eiders at Izembek Lagoon and Steller's eiders, harlequin ducks, black scoters, and a long-tailed duck at Dutch Harbor, Alaska"},{"id":412109,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Dutch Harbor, Izembek Lagoon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -166.69737647059864,\n              53.99128112864628\n            ],\n            [\n              -166.69737647059864,\n              53.828956506141026\n            ],\n            [\n              -166.39272740863672,\n              53.828956506141026\n            ],\n            [\n              -166.39272740863672,\n              53.99128112864628\n            ],\n            [\n              -166.69737647059864,\n              53.99128112864628\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -162.9556904692242,\n              55.0614491207256\n            ],\n            [\n              -162.81966261769773,\n              55.13802208537274\n            ],\n            [\n              -162.79552864403985,\n              55.26010889121713\n            ],\n            [\n              -162.54541291703956,\n              55.35002520725945\n            ],\n            [\n              -162.50701795894736,\n              55.41172449502395\n            ],\n            [\n              -162.50592199901672,\n              55.46143831334075\n            ],\n            [\n              -162.58929390801683,\n              55.44650856126046\n            ],\n            [\n              -162.76152272003017,\n              55.38860238398439\n            ],\n            [\n              -162.87999859071454,\n              55.34683240577314\n            ],\n            [\n              -162.99628046379357,\n              55.24502870421679\n            ],\n            [\n              -163.21677722125062,\n              55.15111302463279\n            ],\n            [\n              -163.31989510869818,\n              55.10658252141104\n            ],\n            [\n              -163.30453712546125,\n              55.05257763202323\n            ],\n            [\n              -163.23432920209274,\n              55.03372156022766\n            ],\n            [\n              -162.9556904692242,\n              55.0614491207256\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Franson, J. Christian 0000-0002-0251-4238 jfranson@usgs.gov","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":177499,"corporation":false,"usgs":true,"family":"Franson","given":"J.","email":"jfranson@usgs.gov","middleInitial":"Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":861991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":861992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":861993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matz, Angela C.","contributorId":301095,"corporation":false,"usgs":false,"family":"Matz","given":"Angela","email":"","middleInitial":"C.","affiliations":[{"id":65303,"text":"U.S. Fish and Wildlife Service, 1011 E. Tudor Rd MS-361, Anchorage, AK  99503","active":true,"usgs":false}],"preferred":false,"id":861994,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70239219,"text":"70239219 - 2023 - Assessment of cropland inundation due to the operation of the Reelfoot Lake spillway in West Tennessee","interactions":[],"lastModifiedDate":"2023-08-07T16:55:22.918741","indexId":"70239219","displayToPublicDate":"2022-12-30T06:51:42","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of cropland inundation due to the operation of the Reelfoot Lake spillway in West Tennessee","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Running Reelfoot Bayou (RRB) is the outlet canal of Reelfoot Lake, the largest natural lake in Tennessee. RRB is not able to contain discharge from Reelfoot Lake greater than the bankfull discharge of 28 m<sup>3</sup>/s (1000 ft<sup>3</sup>/s), which typically occurs at the beginning of the growing season (April–June). Historically, the planting of crops has been delayed until flooding subsides and cropland has drained. The objective of this study is a preliminary quantification of cropland inundation to determine its spatial distribution in the RRB floodplain. Inundated croplands in the RRB floodplain were delineated over a range of spillway discharges from 2 to 57 m<sup>3</sup>/s (70–2000 ft<sup>3</sup>/s), using one-dimensional–two-dimensional hydrodynamic modeling and multispectral satellite images (Landsat 8 and Sentinel-2). The composite maps made by combining the simulated and image-derived flood maps were overlaid on the United States Department of Agriculture CropScape layer to determine the inundation of individual summer crops during the growing season. About 25% of the inundated croplands are flooded at discharges of RRB less than 28 m<sup>3</sup>/s, implying wetland hydrology. The results of this analysis can be used to inform operational management of the Reelfoot Lake spillway.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13092","usgsCitation":"Bhuyian, N., Lahiri, C., Diehl, T.H., and Heal, E., 2023, Assessment of cropland inundation due to the operation of the Reelfoot Lake spillway in West Tennessee: Journal of the American Water Resources Association, v. 59, no. 4, p. 855-873, https://doi.org/10.1111/1752-1688.13092.","productDescription":"19 p.","startPage":"855","endPage":"873","ipdsId":"IP-124997","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":445008,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13092","text":"Publisher Index Page"},{"id":411335,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.58348471060779,\n              36.42528433341498\n            ],\n            [\n              -89.58348471060779,\n              36.07800148864851\n            ],\n            [\n              -89.2636166393048,\n              36.07800148864851\n            ],\n            [\n              -89.2636166393048,\n              36.42528433341498\n            ],\n            [\n              -89.58348471060779,\n              36.42528433341498\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bhuyian, N.M. 0000-0001-8101-8453","orcid":"https://orcid.org/0000-0001-8101-8453","contributorId":300553,"corporation":false,"usgs":false,"family":"Bhuyian","given":"N.M.","email":"","affiliations":[{"id":65197,"text":"Environmental Consultant 3, West Tennessee River Basin Authority","active":true,"usgs":false}],"preferred":false,"id":860798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lahiri, Chayan 0000-0002-7454-4196","orcid":"https://orcid.org/0000-0002-7454-4196","contributorId":300554,"corporation":false,"usgs":false,"family":"Lahiri","given":"Chayan","email":"","affiliations":[{"id":65199,"text":"Assistant Professor, Department of Biology and Geosciences, Adams State University","active":true,"usgs":false}],"preferred":false,"id":860799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diehl, Timothy H. 0000-0001-9691-2212 thdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9691-2212","contributorId":546,"corporation":false,"usgs":true,"family":"Diehl","given":"Timothy","email":"thdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heal, Elizabeth 0000-0002-1196-4708 eheal@usgs.gov","orcid":"https://orcid.org/0000-0002-1196-4708","contributorId":177003,"corporation":false,"usgs":true,"family":"Heal","given":"Elizabeth","email":"eheal@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240176,"text":"70240176 - 2023 - Mapping first to final uses for rare earth elements, globally and in the United States","interactions":[],"lastModifiedDate":"2023-03-01T17:20:43.070604","indexId":"70240176","displayToPublicDate":"2022-12-30T06:33:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2351,"text":"Journal of Industrial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Mapping first to final uses for rare earth elements, globally and in the United States","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Estimating the material flows of rare earth elements (REEs) is essential to understanding which industries are most vulnerable to potential REE supply disruptions which, in turn, may inform policy recommendations aimed at reducing the supply risk. However, the REEs are a group of mineral commodities characterized by highly uncertain estimates of supply and demand due to the REE market's complexity, opacity, and small size. In this study, a streamlined methodology was applied to map mineral commodity first-use to final-use applications and to estimate total requirements at the national level based on available industrial data for final-use finished goods. This analysis examines REEs both as a group and individually, showing that total US requirements are between 15% and 16.5% of world requirements for the year 2015, the latest year with the most complete information available. The findings shed light on US industrial capabilities by revealing the discrepancy between the types of REEs that go into US raw material consumption and those that are contained in embedded consumption. For instance, given the United States’ large oil refining industry, US raw material consumption of lanthanum is quite high. In contrast, US raw material consumption of neodymium is relatively low, whereas embedded demand is comparatively high. This reflects the lack of industrial capacity to process REE concentrates into magnet material combined with the US's high imports of products that contain rare earth permanent magnets.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/jiec.13354","usgsCitation":"Alonso, E., Pineault, D., Gambogi, J., and Nassar, N.T., 2023, Mapping first to final uses for rare earth elements, globally and in the United States: Journal of Industrial Ecology, v. 27, no. 1, p. 312-322, https://doi.org/10.1111/jiec.13354.","productDescription":"11 p.","startPage":"312","endPage":"322","ipdsId":"IP-135070","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":445010,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jiec.13354","text":"Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":862866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pineault, David G.","contributorId":223014,"corporation":false,"usgs":false,"family":"Pineault","given":"David G.","affiliations":[{"id":40641,"text":"U.S. Defense Logistics Agency","active":true,"usgs":false}],"preferred":false,"id":862867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gambogi, Joseph 0000-0002-5719-2280 jgambogi@usgs.gov","orcid":"https://orcid.org/0000-0002-5719-2280","contributorId":4424,"corporation":false,"usgs":true,"family":"Gambogi","given":"Joseph","email":"jgambogi@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":862868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":862869,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252813,"text":"70252813 - 2023 - An integral projection model for gizzard shad (Dorosoma cepedianum) utilizing density-dependent age-0 survival","interactions":[],"lastModifiedDate":"2024-04-08T23:52:55.748529","indexId":"70252813","displayToPublicDate":"2022-12-29T11:02:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"displayTitle":"An integral projection model for gizzard shad (<i>Dorosoma cepedianum </i>) utilizing density-dependent age-0 survival","title":"An integral projection model for gizzard shad (Dorosoma cepedianum) utilizing density-dependent age-0 survival","docAbstract":"<p>Gizzard shad (Dorosoma cepedianum) is a common freshwater fish species found throughout the central and eastern portions of North America. Within these regions, gizzard shad play several critical roles in the freshwater community such as serving as prey for other fish species and translocating nutrients from substrates into the water column. Because of this, it is important to understand gizzard shad population dynamics. Here, we introduce an integral projection model (IPM) for gizzard shad that incorporates empirical information from sources including Long Term Resource Monitoring (LTRM) upper Mississippi River restoration data. IPMs are a generalization of stage-based, matrix population models that have been used to describe a wide range of organisms, and as such are a natural choice for gizzard shad because many aspects of their life cycle have been studied. We tested model outputs against empirical patterns reported for gizzard shad from a different location along the Illinois River (La Grange Reach). Results of our work indicate that our model could serve as an important tool for predicting patterns within gizzard shad populations.&nbsp;</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2022.110260","usgsCitation":"Peirce, J.P., Sandland, G., Bennie, B., and Erickson, R.A., 2023, An integral projection model for gizzard shad (Dorosoma cepedianum) utilizing density-dependent age-0 survival: Ecological Modelling, v. 477, 110260, 7 p., https://doi.org/10.1016/j.ecolmodel.2022.110260.","productDescription":"110260, 7 p.","ipdsId":"IP-138963","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":445013,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2022.110260","text":"Publisher Index Page"},{"id":427558,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"477","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peirce, James P 0000-0002-7147-3695","orcid":"https://orcid.org/0000-0002-7147-3695","contributorId":316559,"corporation":false,"usgs":false,"family":"Peirce","given":"James","email":"","middleInitial":"P","affiliations":[{"id":47908,"text":"University of Wisconsin - La Crosse","active":true,"usgs":false}],"preferred":false,"id":898309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandland, Gregory","contributorId":332579,"corporation":false,"usgs":false,"family":"Sandland","given":"Gregory","email":"","affiliations":[{"id":12793,"text":"University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":898310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennie, Barb","contributorId":244792,"corporation":false,"usgs":false,"family":"Bennie","given":"Barb","email":"","affiliations":[{"id":48977,"text":"UW-La Crosse","active":true,"usgs":false}],"preferred":false,"id":898311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898312,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70239211,"text":"70239211 - 2023 - Long-term monitoring in transition: Resolving spatial mismatch and integrating multistate occupancy data","interactions":[],"lastModifiedDate":"2023-01-04T13:31:11.765279","indexId":"70239211","displayToPublicDate":"2022-12-29T07:29:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Long-term monitoring in transition: Resolving spatial mismatch and integrating multistate occupancy data","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">The success of long-term wildlife monitoring programs can be influenced by many factors and study designs often represent compromises between spatial scales and costs. Adaptive monitoring programs can iteratively manage this tension by adopting new cost-efficient technologies, which can provide projects the opportunity to reallocate costs to address new hypotheses, adapt to changing ecological conditions, or adjust sampling scale or resolution. If there is interest in longer time series of monitoring data, methodological transitions may necessitate integrated models to link newer data with historical data. However, data integration can be difficult if spatial or temporal scales are mismatched. Here, we develop an integrated multistate site-occupancy model and resolve sample unit spatial mismatch to link datasets from two northern spotted owl (<i>Strix occidentalis caurina</i>) monitoring schemes that broadly overlapped during a methodological transition. The first dataset was obtained from a decades-long spotted owl monitoring program using call-playback and mark-resight surveys on historical territories of varying size and shape. This monitoring program has recently transitioned to passive acoustic monitoring of randomly selected 5-km<sup>2</sup><span>&nbsp;</span>hexagons over larger spatial extents. Both monitoring datasets overlapped with areas in which barred owl (<i>Strix varia</i>), an invasive competitor that has played an important role in northern spotted owl declines, were being removed experimentally. Reconciling spatial mismatch substantially increased the representation of the call-playback dataset and integrating the two datasets increased precision of spotted owl use and paired occupancy estimates relative to single dataset estimates. Estimates of spotted owl pair occupancy across the study area were lower than previous territory-based estimates based on call-playback surveys. Our integrated model further showed that a concurrent barred owl removal experiment increased landscape use and site occupancy by pairs of spotted owls. Our empirical application of an integrated modelling approach demonstrates a useful analytical framework for long-term monitoring efforts undergoing methodological transitions (e.g. mark-recapture to non-invasive population monitoring). This framework allows monitoring programs to maintain continuity of monitoring objectives across methodological transitions, rigorously incorporate previous findings, and adaptively respond to changing ecological conditions.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2022.109815","usgsCitation":"Weldy, M.J., Lesmeister, D., Yackulic, C., Appel, C., McCafferty, C., and Wiens, D., 2023, Long-term monitoring in transition: Resolving spatial mismatch and integrating multistate occupancy data: Ecological Indicators, v. 146, 109815, 12 p., https://doi.org/10.1016/j.ecolind.2022.109815.","productDescription":"109815, 12 p.","ipdsId":"IP-141142","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":445014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.109815","text":"Publisher Index Page"},{"id":411340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.71472258149836,\n              45.51914910597108\n            ],\n            [\n              -124.71472258149836,\n              42.32471741537614\n            ],\n            [\n              -123.04550958834741,\n              42.32471741537614\n            ],\n            [\n              -123.04550958834741,\n              45.51914910597108\n            ],\n            [\n              -124.71472258149836,\n              45.51914910597108\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"146","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weldy, Matthew J","contributorId":300545,"corporation":false,"usgs":false,"family":"Weldy","given":"Matthew","email":"","middleInitial":"J","affiliations":[{"id":65191,"text":"Pacific Northwest Research Station, USDA Forest Service, Corvallis, OR 97331, USA; Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR 97331, USA","active":true,"usgs":false}],"preferred":false,"id":860768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lesmeister, Damon B.","contributorId":279675,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon B.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":860769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":860770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Appel, Cara L.","contributorId":265255,"corporation":false,"usgs":false,"family":"Appel","given":"Cara L.","affiliations":[{"id":54636,"text":"Graduate Research Assistant, USDA Forest Service, Pacific Northwest Research Station and Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR.","active":true,"usgs":false}],"preferred":false,"id":860771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCafferty, Chris E.","contributorId":264230,"corporation":false,"usgs":false,"family":"McCafferty","given":"Chris E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":860772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiens, David 0000-0002-2020-038X","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":267230,"corporation":false,"usgs":true,"family":"Wiens","given":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":860773,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70243345,"text":"70243345 - 2023 - Barometers behaving badly: Assessing the influence of analytical and experimental uncertainty on clinopyroxene thermobarometry calculations at crustal conditions","interactions":[],"lastModifiedDate":"2023-05-09T11:50:31.033617","indexId":"70243345","displayToPublicDate":"2022-12-29T06:45:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Barometers behaving badly: Assessing the influence of analytical and experimental uncertainty on clinopyroxene thermobarometry calculations at crustal conditions","docAbstract":"<p class=\"chapter-para\">The composition of clinopyroxene and clinopyroxene-liquid (Cpx-Liq) pairs are frequently used to calculate crystallization/equilibration pressures in igneous systems. While canonical uncertainties are often assigned to calculated pressures based on fits to calibration or test datasets, the sources of these uncertainties (and thus ways to reduce them) have not been rigorously assessed. We show that considerable uncertainties in calculated pressures arise from analytical error associated with Electron Probe Microanalyser (EPMA) measurements of Cpx. Specifically, low X-ray counts during analysis of elements with concentrations &lt;1&nbsp;wt% resulting from insufficient count times and/or low beam currents yield highly imprecise measurements (1σ errors of 10–40% for Na<sub>2</sub>O).</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/petrology/egac126","usgsCitation":"Wieser, P.E., Kent, A.J., Till, C.B., Donovan, J., Neave, D.A., Blatter, D.L., and Krawczynski, M.J., 2023, Barometers behaving badly: Assessing the influence of analytical and experimental uncertainty on clinopyroxene thermobarometry calculations at crustal conditions: Journal of Petrology, v. 64, no. 2, egac126, 27 p., https://doi.org/10.1093/petrology/egac126.","productDescription":"egac126, 27 p.","ipdsId":"IP-147233","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":445017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egac126","text":"Publisher Index Page"},{"id":416850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Wieser, Penny E. 0000-0002-1070-8323","orcid":"https://orcid.org/0000-0002-1070-8323","contributorId":272601,"corporation":false,"usgs":false,"family":"Wieser","given":"Penny","email":"","middleInitial":"E.","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":872109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kent, Adam J.R.","contributorId":292680,"corporation":false,"usgs":false,"family":"Kent","given":"Adam","email":"","middleInitial":"J.R.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":872110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Till, Christy B. 0000-0001-8924-2206","orcid":"https://orcid.org/0000-0001-8924-2206","contributorId":304971,"corporation":false,"usgs":false,"family":"Till","given":"Christy","email":"","middleInitial":"B.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":872111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donovan, J. 0000-0001-8639-0959","orcid":"https://orcid.org/0000-0001-8639-0959","contributorId":304972,"corporation":false,"usgs":false,"family":"Donovan","given":"J.","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":872112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neave, David A.","contributorId":304973,"corporation":false,"usgs":false,"family":"Neave","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":27871,"text":"University of Manchester","active":true,"usgs":false}],"preferred":false,"id":872113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blatter, Dawnika L. 0000-0002-7161-6844 dblatter@usgs.gov","orcid":"https://orcid.org/0000-0002-7161-6844","contributorId":4899,"corporation":false,"usgs":true,"family":"Blatter","given":"Dawnika","email":"dblatter@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":872114,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krawczynski, Michael J. 0000-0002-0710-0763","orcid":"https://orcid.org/0000-0002-0710-0763","contributorId":304974,"corporation":false,"usgs":false,"family":"Krawczynski","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":62382,"text":"Washington University St. Louis","active":true,"usgs":false}],"preferred":false,"id":872115,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70240234,"text":"70240234 - 2023 - The Sukari gold deposit, Egypt: Geochemical and geochronological constraints on the ore genesis and implications for regional exploration","interactions":[],"lastModifiedDate":"2023-05-15T13:12:40.265332","indexId":"70240234","displayToPublicDate":"2022-12-28T08:32:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"The Sukari gold deposit, Egypt: Geochemical and geochronological constraints on the ore genesis and implications for regional exploration","docAbstract":"<p>The Sukari gold deposit (&gt;15 Moz Au) in the Eastern Desert of Egypt is hosted by a deformed granitoid stock (Sukari tonalite-trondhjemite intrusion) and mainly occurs as a network of crosscutting sulfide-bearing quartz (± carbonate) veins and intensely sulfidized-silicified-sericitized wall rock. Emplacement of the Sukari intrusion into a tectonized Neoproterozoic accretionary complex was controlled by a system of NE- to NNE-trending oblique faults that are related to a deep-seated positive flower structure. A robust genetic model has been hampered by the poorly understood relationships between gold mineralization and host rocks. In this study, zircon U-Pb ages of three samples from the Sukari intrusion define a crystallization age of ~695 ± 2 Ma. In contrast, hydrothermal sericite from the ore zone yields an<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar age of ~625 ± 3 Ma, which coincides with the onset of major sinistral transpression in the region.</p><p>Features including sigmoidal morphology of gold quartz veins and abundant subhorizontal tension gashes alongside widespread brecciation and recrystallization suggest that quartz veining occurred during renewed shortening and exhumation through the brittle-ductile transition. Petrographic and micro-X-ray fluorescence (µXRF) studies indicate that disseminated gold and sulfides, commonly associated with sericite and carbonate alteration, are mostly confined to stylolitic bands in the quartz veins. Oscillatory and sector zoning patterns, irregular As-rich bands, and truncations between early- and late-genetic pyrites reflect variations in temperature and mechanism of ore deposition, demonstrated by variable As/S and Co/Ni ratios in the different pyrite generations. Laser ablation-inductively coupled plasma-mass spectrometry analysis pinpoints the covariance of gold and arsenic contents in pyrite, but free milling gold inclusions in microfractures consistently have a mercury-bearing electrum composition, depicting different ore formation stages.</p><p>Ore fluids with<span>&nbsp;</span><i>δ</i><sup>34</sup><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mtext>S</mtext><mrow><msub><mtext>H</mtext><mn>2</mn></msub><mtext>s</mtext></mrow></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span id=\"MathJax-Span-4\" class=\"mtext\">S</span><sub><span id=\"MathJax-Span-5\" class=\"mrow\"><span id=\"MathJax-Span-6\" class=\"msub\"><span id=\"MathJax-Span-7\" class=\"mtext\">H</span><span id=\"MathJax-Span-8\" class=\"mn\">2</span></span><span id=\"MathJax-Span-9\" class=\"mtext\">s</span></span></sub></span></span></span></span></span></span><span>&nbsp;</span>values of –1.9 to –3.0‰, modeled from gold-associated pyrite and arsenopyrite assemblages with nearly identical<span>&nbsp;</span><i>δ</i><sup>34</sup>S values, suggest a likely single source of sulfur. Alternatively, multisourced sulfur could have extensively mixed and equilibrated by fluid reaction with carbonaceous wall rock. Gold deposition was triggered by abrupt changes in fluid pH and<span> ƒ</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>f</mi><msub><mtext>O</mtext><mn>2</mn></msub></msub></math>\"><span id=\"MathJax-Span-10\" class=\"math\"><span><span id=\"MathJax-Span-11\" class=\"mrow\"><span id=\"MathJax-Span-12\" class=\"msub\"><sub><span id=\"MathJax-Span-14\" class=\"msub\"><span id=\"MathJax-Span-15\" class=\"mtext\">O</span><span id=\"MathJax-Span-16\" class=\"mn\">2</span></span></sub></span></span></span></span></span>⁠</span>. As an implication for future exploration, sites of maximized strain gradients adjacent to granitoid bodies along extensive transpression zones in the district could be highly prospective targets, particularly where imprinted by sericite-carbonate ± graphite alteration.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4990","usgsCitation":"Zoheir, B., Holzheid, A., Zeh, A., McAleer, R.J., El-Behairy, M., Schwarz-Schampera, U., Graupner, T., Lentz, D., and Xiong, F., 2023, The Sukari gold deposit, Egypt: Geochemical and geochronological constraints on the ore genesis and implications for regional exploration: Economic Geology, v. 118, no. 4, p. 719-744, https://doi.org/10.5382/econgeo.4990.","productDescription":"26 p.","startPage":"719","endPage":"744","ipdsId":"IP-142063","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":435528,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P954X51O","text":"USGS data release","linkHelpText":"40Ar/39Ar isotopic data and electron microprobe data from muscovite in the Sukari gold deposit, Egypt"},{"id":412615,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Egypt","otherGeospatial":"Sukari gold deposit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              32.09840377670787,\n              29.776475305975993\n            ],\n            [\n              32.09840377670787,\n              28.340499887504606\n            ],\n            [\n              33.111689993290184,\n              28.340499887504606\n            ],\n            [\n              33.111689993290184,\n              29.776475305975993\n            ],\n            [\n              32.09840377670787,\n              29.776475305975993\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"118","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zoheir, Basem 0000-0003-1792-9134","orcid":"https://orcid.org/0000-0003-1792-9134","contributorId":256944,"corporation":false,"usgs":false,"family":"Zoheir","given":"Basem","email":"","affiliations":[{"id":51910,"text":"Benha University","active":true,"usgs":false}],"preferred":false,"id":863036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holzheid, Astrid 0000-0001-5154-9886","orcid":"https://orcid.org/0000-0001-5154-9886","contributorId":299258,"corporation":false,"usgs":false,"family":"Holzheid","given":"Astrid","email":"","affiliations":[{"id":64799,"text":"Universität Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":863037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeh, Armin 0000-0001-9476-8501","orcid":"https://orcid.org/0000-0001-9476-8501","contributorId":256945,"corporation":false,"usgs":false,"family":"Zeh","given":"Armin","email":"","affiliations":[{"id":51911,"text":"Karlsruher Institut für Technologie","active":true,"usgs":false}],"preferred":false,"id":863038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":863039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"El-Behairy, Mohamed","contributorId":299259,"corporation":false,"usgs":false,"family":"El-Behairy","given":"Mohamed","email":"","affiliations":[{"id":64800,"text":"Centamin Egypt Ltd, Egypt","active":true,"usgs":false}],"preferred":false,"id":863040,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwarz-Schampera, Ulrich 0000-0002-6514-6233","orcid":"https://orcid.org/0000-0002-6514-6233","contributorId":299260,"corporation":false,"usgs":false,"family":"Schwarz-Schampera","given":"Ulrich","email":"","affiliations":[{"id":64801,"text":"Bundesanstalt für Geowissenschaften und Rohstoffe, Germany","active":true,"usgs":false}],"preferred":false,"id":863041,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graupner, Torsten","contributorId":299261,"corporation":false,"usgs":false,"family":"Graupner","given":"Torsten","email":"","affiliations":[{"id":64801,"text":"Bundesanstalt für Geowissenschaften und Rohstoffe, Germany","active":true,"usgs":false}],"preferred":false,"id":863042,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lentz, David","contributorId":299262,"corporation":false,"usgs":false,"family":"Lentz","given":"David","affiliations":[{"id":24781,"text":"University of New Brunswick, Canada","active":true,"usgs":false}],"preferred":false,"id":863043,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xiong, Fahui","contributorId":299263,"corporation":false,"usgs":false,"family":"Xiong","given":"Fahui","email":"","affiliations":[{"id":64803,"text":"Chinese Academy of Geological Sciences, China","active":true,"usgs":false}],"preferred":false,"id":863044,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70239302,"text":"70239302 - 2023 - Flood regimes alter the role of landform and topographic constraint on functional diversity of floodplain forests","interactions":[],"lastModifiedDate":"2023-03-01T17:08:20.521847","indexId":"70239302","displayToPublicDate":"2022-12-28T07:10:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Flood regimes alter the role of landform and topographic constraint on functional diversity of floodplain forests","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Understanding patterns of species coexistence is a fundamental challenge in ecology. The physical environment is believed to play an important role, influencing patterns of dispersal and biotic interactions across space and time. Floodplain forest species are presumed to interact strongly with their environment, as evidenced by pronounced spatial variation in forest composition associated with flood-driven abiotic constraints. Questions of how, and to what degree, fine-scale heterogeneity interacts with broad-scale hydrogeomorphology to influence patterns of functional composition remain unresolved. We examined how functional diversity (i.e. richness and range of functional traits) and ecological strategies (i.e. functional trait combinations) of floodplain forest communities varied across regional and local gradients of flooding in a northern temperate region of the United States of America. We found functional diversity of woody overstory species varied across hydrogeomorphic settings and that different settings altered associations between functional diversity and both the relative elevation above and proximity to rivers. Ecological strategies shifted over local gradients of relative elevation and distance to channel with different magnitudes and directions depending on the broader hydrogeomorphic context. We found evidence that interactions among flood regimes and landform position impose different levels of functional constraint. These results indicate patterns of community assembly are not easily discerned from landform type or position alone, but rather from filtering that operates and interacts with biota over multiple spatial scales. Our results imply that it is important to characterize flood dynamics in ways that can be clearly linked to ecological processes and that treatment of floodplain landforms as transferable units across river-valley segments is problematic, even within a single basin.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.06519","usgsCitation":"Van Appledorn, M., and Baker, M.E., 2023, Flood regimes alter the role of landform and topographic constraint on functional diversity of floodplain forests: Ecography, v. 2023, no. 3, e06519, 13 p., https://doi.org/10.1111/ecog.06519.","productDescription":"e06519, 13 p.","ipdsId":"IP-123996","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":445022,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.06519","text":"Publisher Index Page"},{"id":435529,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BSFD8E","text":"USGS data release","linkHelpText":"Functional diversity metrics of floodplain forests from Michigan's Lower Peninsula"},{"id":411561,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2023","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-12-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":861078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Matthew E.","contributorId":149189,"corporation":false,"usgs":false,"family":"Baker","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":17665,"text":"Department of Geography and Environmental Systems, University of Maryland, Baltimore County, Baltimore, Maryland, US","active":true,"usgs":false}],"preferred":false,"id":861079,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}