{"pageNumber":"236","pageRowStart":"5875","pageSize":"25","recordCount":165605,"records":[{"id":70249296,"text":"fs20233034 - 2023 - Flood damage costs beyond buildings—A Lake Champlain case study","interactions":[],"lastModifiedDate":"2026-02-09T17:41:48.972867","indexId":"fs20233034","displayToPublicDate":"2023-10-05T13:20:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3034","displayTitle":"Flood Damage Costs Beyond Buildings—A Lake Champlain Case Study","title":"Flood damage costs beyond buildings—A Lake Champlain case study","docAbstract":"

Introduction

Floods account for more than 75 percent of Federal disaster declarations and lead other natural disasters in economic costs. Early-warning systems have lowered flood-related fatalities, but costs continue to rise as flood-prone areas continue to be urbanized (U.S. Geological Survey, 2006). A Lake Champlain case study shows that at moderate flood heights, the economic costs of non-structural damages or losses—such as temporary lodging, residential debris removal, commercial revenue losses, and road repair—can be greater than economic damages to buildings. For unprecedented flood heights, non-structural damages can still total more than 10 percent of structural damage costs.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233034","usgsCitation":"Rhodes, C., 2023, Flood damage costs beyond buildings—A Lake Champlain case study: U.S. Geological Survey Fact Sheet 2023–3034, 6p., https://doi.org/10.3133/fs20233034.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-146142","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":421549,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XWERGY","text":"USGS data release","linkHelpText":"U.S.-Side Principal Economic Indicators For the International Joint Commission Lake Champlain Richelieu River Study Project (2022)"},{"id":421545,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3034/fs20233034.pdf","text":"Report","size":"1.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3034"},{"id":421544,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3034/coverthb.jpg"},{"id":421546,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233034/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3034"},{"id":421547,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3034/images/"},{"id":421548,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3034/fs20233034.XML"},{"id":499692,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115451.htm","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","state":"New York, Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.74618031431513,\n 43.36987616984206\n ],\n [\n -72.8562877361902,\n 43.36987616984206\n ],\n [\n -72.8562877361902,\n 45.31812414639214\n ],\n [\n -73.74618031431513,\n 45.31812414639214\n ],\n [\n -73.74618031431513,\n 43.36987616984206\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Center Director, Science and Decisions Center
U.S. Geological Survey
12201 Sunrise Valley Dr.
Mail Stop 310
Reston, VA 20192

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-10-05","noUsgsAuthors":false,"publicationDate":"2023-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rhodes, Charles 0000-0002-9040-3684","orcid":"https://orcid.org/0000-0002-9040-3684","contributorId":245881,"corporation":false,"usgs":true,"family":"Rhodes","given":"Charles","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":885032,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70249382,"text":"70249382 - 2023 - Wide-area debris field and seabed characterization of a deep ocean dump site surveyed by autonomous underwater vehicles","interactions":[],"lastModifiedDate":"2023-12-04T17:21:24.532797","indexId":"70249382","displayToPublicDate":"2023-10-05T10:17:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Wide-area debris field and seabed characterization of a deep ocean dump site surveyed by autonomous underwater vehicles","docAbstract":"Disposal of industrial and hazardous waste in the deep ocean was a pervasive global practice near coastlines in the 20th century. Uncertainty in the quantity, location, and contents of dumped materials at historical disposal sites underscores ongoing risks to marine ecosystems and human health. This study presents analysis of a 150-km2 wide-area sidescan sonar survey conducted in March 2021 with two autonomous underwater vehicles (AUVs) at an offshore dumpsite in San Pedro Basin, California. Previous camera surveys located 60 barrels and other debris; sediment analysis in the region showed varying concentrations of the insecticidal chemical Dichlorodiphenyl-trichloroethane (DDT), for which an estimated 350-700 metric tons was discarded in the San Pedro Basin between 1947 and 1961. A lack of primary historical documents from Montrose Chemical or California Salvage Company that specify the DDT acid waste disposal method has contributed to the ambiguity surrounding whether the dumping method was via bulk discharge or containerized units. Barrels and debris visually detected during previous surveys by Remotely Operated Vehicles (ROVs) Jason and SuBastian and AUV Sentry served as the basis for ground truth testing and object classification using size and acoustic intensity characteristics. Target detection and classification algorithms were developed using image and signal processing techniques that resulted in the identification of over 74,000 debris targets within the survey region. Statistical, spectral, and machine learning techniques are used to characterize seabed variability and for bottom-type classification. These analytical techniques combined with the survey capabilities of AUVs provide a framework for efficient mapping and characterization of uncharted deep-water disposal sites.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c01256","usgsCitation":"Merrifield, S.T., Celona, S., McCarthy, R.A., Pietruszka, A., Batchelor, H., Hess, R., Nager, A., Young, R., Sadorf, K., Levin, L.A., Valentine, D.L., Conrad, J.E., and Terrill, E.J., 2023, Wide-area debris field and seabed characterization of a deep ocean dump site surveyed by autonomous underwater vehicles: Environmental Science and Technology, v. 57, no. 46, p. 18162-18171, https://doi.org/10.1021/acs.est.3c01256.","productDescription":"10 p.","startPage":"18162","endPage":"18171","ipdsId":"IP-150859","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":441944,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.3c01256","text":"Publisher Index Page"},{"id":421683,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Pacific Ocean, San Pedro Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.53406590855967,\n 33.67590571306344\n ],\n [\n -118.53406590855967,\n 33.51188562410945\n ],\n [\n -118.30747365816325,\n 33.51188562410945\n ],\n [\n -118.30747365816325,\n 33.67590571306344\n ],\n [\n -118.53406590855967,\n 33.67590571306344\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"57","issue":"46","noUsgsAuthors":false,"publicationDate":"2023-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Merrifield, Sophia 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Andrew","contributorId":330601,"corporation":false,"usgs":false,"family":"Pietruszka","given":"Andrew","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":885413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batchelor, Heidi","contributorId":330602,"corporation":false,"usgs":false,"family":"Batchelor","given":"Heidi","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":885414,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hess, Robert","contributorId":330603,"corporation":false,"usgs":false,"family":"Hess","given":"Robert","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":885415,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nager, 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A.","contributorId":330607,"corporation":false,"usgs":false,"family":"Levin","given":"Lisa","email":"","middleInitial":"A.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":885419,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Valentine, David L.","contributorId":330608,"corporation":false,"usgs":false,"family":"Valentine","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":885420,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":885421,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Terrill, Eric J.","contributorId":330610,"corporation":false,"usgs":false,"family":"Terrill","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":885422,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70249366,"text":"sir20235082 - 2023 - Critical minerals in subduction-related magmatic-hydrothermal systems of the United States","interactions":[],"lastModifiedDate":"2026-03-12T20:56:42.28817","indexId":"sir20235082","displayToPublicDate":"2023-10-05T10:01:48","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations 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During the World War and Cold War eras (1910s–1990s), domestic consumption of numerous mineral commodities relied increasingly on imported supplies. Consumption reliance has since expanded to include 50 “critical minerals” (elements and mineral commodities) that are mostly to entirely imported and subject to curtailment by suppliers or supply chain disruption. New domestic supplies of critical minerals are being pursued by mining companies and by several federal departments and agencies. Information on domestic deposits and resources of critical minerals is being compiled by the U.S. Geological Survey Mineral Resources Program, which has organized investigations by mineral system, deposit type, and commodity.

Production, reserves, resources, and inventories of 21 critical minerals in domestic magmatic-hydrothermal deposits related to subduction-generated magmatism, and in tailings, slag, slimes, and electrolyte from copper concentrators, smelters, and refineries that processed some deposits, are largely restricted to Western States and Alaska. The critical mineral commodities Al, Sb, As, Bi, Co, fluorite, Ga, Ge, In, Mn, Ni, Nb, Pd, Pt, potash, Re, Ta, Te, Sn, W, and V are variably concentrated in porphyry/skarn copper-(molybdenum), skarn-replacement-vein (S-R-V) tungsten, polymetallic sulfide S-R-V intermediate sulfidation (IS), high-sulfidation gold-silver, low-sulfidation gold-silver, and lithocap alunite deposit types. These deposit types occur in porphyry copper-molybdenum-gold, alkalic porphyry, porphyry tin (granite related), and reduced intrusion-related mineral systems.

Production, reserves, and resources of Co, Ni, Nb, Pd, Pt, Ta, Sn, and V in subduction-related deposits in Western States are insignificant to small, mostly equivalent to months to a few years of recent annual domestic consumption (2016–2020). Significant inventories, equivalent to 2 or more years of consumption of aluminum, antimony, potash, and tungsten in unmined S-R-V tungsten, polymetallic sulfide S-R-V-IS, and lithocap alunite deposits vary from approximately 2 to 8 years. Several decades of consumption of arsenic, bismuth, fluorite, gallium, germanium, and indium exist in some polymetallic sulfide S-R-V-IS and lithocap alunite deposit types.

Based on concentrations of critical minerals in reserves, resources, drill holes, and deposit domains (ore types), and in captive refinery records, the largest domestic inventories of Sb, As, Bi, Re, and Te, and possibly Ga, Ge, In, Sn, and W, are in porphyry copper-molybdenum (Cu-Mo) deposits in Alaska, Idaho, Utah, and Arizona, and in interim products of processing porphyry Cu-Mo deposit ores for recovery of copper and molybdenum. Concentrations of critical minerals in archival specimens and sample collections, although somewhat biased by collection and conservation decisions and categorization, are broadly proportionate to those in reserves, resources, and drill holes. These concentrations imply significant inventories of some critical minerals in deposits for which production, resources, and refinery records are unavailable or incomplete.

Because of the large masses of ores mined and processed annually (hundreds of millions of metric tons) and in reserves and resources (hundreds of millions of metric tons to billions of metric tons), calculated inventories of critical minerals in porphyry Cu-Mo deposits are equivalent to decades and centuries of recent consumption. However, these inventories should not be considered consumable supplies without reserve definition and development of economically viable mining plans and recovery techniques. An expeditious strategy for elimination or reduction of import reliance is recovery, and improved recovery efficiency, of Sb, As, Bi, Re, and Te, and possibly Ga, Ge, In, Ni, Sn, Ti, and W; during concentration and refining of copper and molybdenum minerals in ores of operating porphyry Cu-Mo mines; and in unmined porphyry Cu-Mo resources. These chalcophile, siderophile, and lithophile critical minerals, often undetectable in ore, are concentrated (hundreds of parts per million to percents) in slimes and electrolyte during copper electrorefining or could be recovered, in part, during sulfide concentration and smelting. Other than rhenium (recovered during molybdenum refining) and tellurium, all have been routinely discarded.

Subsidization (for example, commodity price guarantees, tax credits, recovery technology development), political initiative, and (or) sustained market favorability could support new production of critical mineral commodities from subduction-related magmatic-hydrothermal deposits in Western States. In addition, insufficient domestic refining capacity could relegate the large inventories of critical minerals in porphyry Cu-Mo reserves and resources (for example, Pebble, Alaska; Resolution and Copper World [Rosemont], Arizona) to exportation in concentrates and importation insecurity, fortifying their present status.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235082","usgsCitation":"Vikre, P., John, D., Wintzer, N.E., Koutz, F., Graybeal, F., Dail, C., and Annis, D.C., 2023, Critical minerals in subduction-related magmatic-hydrothermal systems of the United States: U.S. Geological Survey Scientific Investigations Report 2023–5082, 110 p., https://doi.org/10.3133/sir20235082.","productDescription":"x, 110 p.","numberOfPages":"110","onlineOnly":"Y","ipdsId":"IP-137402","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":501045,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115449.htm","linkFileType":{"id":5,"text":"html"}},{"id":421606,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5082/images"},{"id":421605,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235082/full"},{"id":421604,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5082/sir20235082.xml"},{"id":421603,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5082/sir20235082.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":421602,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5082/covrthb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126.97828338393356,\n 50.4388592678921\n ],\n [\n -126.97828338393356,\n 27.657631239110117\n ],\n [\n -95.77838522885939,\n 27.657631239110117\n ],\n [\n -95.77838522885939,\n 50.4388592678921\n ],\n [\n -126.97828338393356,\n 50.4388592678921\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
Building 19, 350 N. Akron Rd.
P.O. Box 158
Moffett Field, CA 94035

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-10-05","noUsgsAuthors":false,"publicationDate":"2023-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Vikre, Peter 0000-0001-7895-5972 pvikre@usgs.gov","orcid":"https://orcid.org/0000-0001-7895-5972","contributorId":267885,"corporation":false,"usgs":true,"family":"Vikre","given":"Peter","email":"pvikre@usgs.gov","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":885345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":885346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wintzer, Niki E. 0000-0003-3085-435X nwintzer@usgs.gov","orcid":"https://orcid.org/0000-0003-3085-435X","contributorId":5297,"corporation":false,"usgs":true,"family":"Wintzer","given":"Niki","email":"nwintzer@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":885347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koutz, Fleetwood","contributorId":30902,"corporation":false,"usgs":true,"family":"Koutz","given":"Fleetwood","affiliations":[],"preferred":false,"id":885348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graybeal, Frederick","contributorId":139000,"corporation":false,"usgs":false,"family":"Graybeal","given":"Frederick","email":"","affiliations":[{"id":12586,"text":"Consultant","active":true,"usgs":false}],"preferred":true,"id":885349,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dail, Chris","contributorId":330577,"corporation":false,"usgs":false,"family":"Dail","given":"Chris","email":"","affiliations":[{"id":12586,"text":"Consultant","active":true,"usgs":false}],"preferred":true,"id":885350,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Annis, David C.","contributorId":330578,"corporation":false,"usgs":false,"family":"Annis","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":true,"id":885351,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263124,"text":"70263124 - 2023 - HABs and HAB nots: Dynamics of phytoplankton blooms across similar oligotrophic reservoirs","interactions":[],"lastModifiedDate":"2025-01-30T15:08:11.730565","indexId":"70263124","displayToPublicDate":"2023-10-05T09:04:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5362,"text":"Limnologica - Ecology and Management of Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"HABs and HAB nots: Dynamics of phytoplankton blooms across similar oligotrophic reservoirs","docAbstract":"

Increasing frequency and intensity of cyanobacterial Harmful Algal Blooms (HABs) threaten human and aquatic ecosystem health. Improving our understanding of HABs across a range of systems will be critical to understanding and potentially minimizing risk, especially where HABs are occurring in less productive and less studied waterbodies. Here, the characteristics and annual dynamics of phytoplankton communities were examined, focusing on the timing, magnitude, and predictability of cyanobacterial blooms in five multi-purpose flood-control reservoirs from the Willamette Basin, Oregon, USA. A high similarity in phytoplankton composition and consistency in the timing of cyanobacterial dominance was hypothesized to occur across these oligotrophic reservoirs. However, periods of dominance by potentially HABs producing genera were inconsistent both in their timing and abundances among reservoirs and across years within each reservoir. The lack of regional predictability indicates the importance of local drivers in the formation, intensity, and composition of phytoplankton blooms. These findings have important implications for reservoir management and safeguarding freshwater drinking sources, as not all reservoirs appear to experience cyanobacterial blooms at the same time, demonstrating non-concurrent risks of HABs.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.limno.2023.126110","usgsCitation":"Murphy, C.A., Pollock, A., Arismendi, I., and Johnson, S., 2023, HABs and HAB nots: Dynamics of phytoplankton blooms across similar oligotrophic reservoirs: Limnologica - Ecology and Management of Inland Waters, v. 103, 126110, 15 p., https://doi.org/10.1016/j.limno.2023.126110.","productDescription":"126110, 15 p.","ipdsId":"IP-133744","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.limno.2023.126110","text":"Publisher Index Page"},{"id":481497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":925622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Amanda M.M.","contributorId":350287,"corporation":false,"usgs":false,"family":"Pollock","given":"Amanda M.M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":925623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arismendi, Ivan","contributorId":350288,"corporation":false,"usgs":false,"family":"Arismendi","given":"Ivan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":925624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Sherri L.","contributorId":350289,"corporation":false,"usgs":false,"family":"Johnson","given":"Sherri L.","affiliations":[{"id":81962,"text":"Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":925625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249796,"text":"70249796 - 2023 - Long-term demographic analysis of the Cape Sable seaside sparrow (1992–2021)","interactions":[],"lastModifiedDate":"2023-10-28T13:15:01.230395","indexId":"70249796","displayToPublicDate":"2023-10-05T08:14:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Long-term demographic analysis of the Cape Sable seaside sparrow (1992–2021)","docAbstract":"The Cape Sable seaside sparrow (Ammospiza maritima mirabilis) is an endangered species that has experienced a population decline of more than 60% since 1981. Despite its critical population status, a statistically robust analysis of the species’ demographic rates utilizing all data has yet to be completed (Benscoter et al. 2021). Furthermore, long-term population processes in response to hydrologic and environmental conditions have not been evaluated for this species. To address these substantial gaps in knowledge, 30 years of demographic data were synthesized to assess population dynamics of this imperiled species using an integrated population model (IPM). Three demographic data types (range-wide counts, capture-mark-recapture, nest monitoring) were incorporated into a unified IPM to evaluate demographic processes and predict population trajectories. The following were calculated: (1) annual estimates of annual population size, survival, and fecundity; (2) coefficient estimates of hydrologic and environmental variables on survival and fecundity; (3) estimates of annual population growth and their correlation with demographic rates; and (4) a Bayesian population viability analysis (BPVA) that includes predicted population size, demographic rates, and extinction risks ten years into the future.","language":"English","publisher":"U.S. Fish and Wildlife Service","collaboration":"U.S. Fish and Wildlife Service and National Park Service","usgsCitation":"Martinez, M.T., D’Acunto, L., and Romanach, S., 2023, Long-term demographic analysis of the Cape Sable seaside sparrow (1992–2021), 25 p.","productDescription":"25 p.","ipdsId":"IP-157496","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":422231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":422220,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ecos.fws.gov/ServCat/Reference/Profile/161341"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martinez, Marisa Takada 0000-0002-1915-6019","orcid":"https://orcid.org/0000-0002-1915-6019","contributorId":304805,"corporation":false,"usgs":true,"family":"Martinez","given":"Marisa","email":"","middleInitial":"Takada","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":887094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":887095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":223479,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":887096,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70249485,"text":"70249485 - 2023 - Comparing reintroduction strategies for the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia) using demographic models","interactions":[],"lastModifiedDate":"2023-10-11T12:04:31.640668","indexId":"70249485","displayToPublicDate":"2023-10-05T07:00:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparing reintroduction strategies for the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia) using demographic models","title":"Comparing reintroduction strategies for the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia) using demographic models","docAbstract":"

For endangered species persisting in a few populations, reintroductions to unoccupied habitat are a popular conservation action to increase viability in the long term. Identifying the reintroduction strategy that is most likely to result in viable founder and donor populations is essential to optimally use resources available for conservation. The San Francisco gartersnake (Thamnophis sirtalis tetrataenia) is an endangered sub-species that persists in a small number of populations in a highly urbanized region of California. Most of the extant populations of San Francisco gartersnakes have low adult abundance and effective population size, heightening the need for establishment of more populations for insurance against the risk of extinction. We used simulations from demographic models to project the probability of quasi-extinction for reintroduced populations of San Francisco gartersnakes based on the release of neonate, juvenile, adult, or mixed-age propagules. Our simulation results indicated that the release of head-started juveniles resulted in the greatest viability of reintroduced populations, and that releases would need to continue for at least 15 years to ensure a low probability of quasi-extinction. Releasing captive-bred juvenile snakes would also have less effect on the viability of the donor population, compared to strategies that require more adult snakes to be removed from the donor population for translocation. Our models focus on snake demography, but the genetic makeup of donor, captive, and reintroduced populations will also be a major concern for any proposed reintroduction plan. This study demonstrates how modeling can be used to inform reintroduction strategies for highly imperiled species.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0292379","usgsCitation":"Rose, J.P., Kim, R., Schoenig, E.J., Lien, P.C., and Halstead, B., 2023, Comparing reintroduction strategies for the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia) using demographic models: PLoS ONE, v. 18, no. 10, e0292379, 21 p., https://doi.org/10.1371/journal.pone.0292379.","productDescription":"e0292379, 21 p.","ipdsId":"IP-151491","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":441947,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0292379","text":"Publisher Index Page"},{"id":435160,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96G15XW","text":"USGS data release","linkHelpText":"Demographic Parameter Estimates for San Francisco Gartersnakes (Thamnophis sirtalis tetrataenia) for Fitting an Integral Projection Model"},{"id":435159,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EY889F","text":"USGS data release","linkHelpText":"Code to fit Integral Projection Models and simulate population reintroductions for San Francisco Gartersnakes, Thamnophis sirtalis tetrataenia"},{"id":435158,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U5NGXY","text":"USGS data release","linkHelpText":"San Francisco Gartersnake Fecundity Data from San Mateo County, California Collected from 2019-2022"},{"id":421847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"10","noUsgsAuthors":false,"publicationDate":"2023-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Richard 0000-0001-5891-0582 rkim@usgs.gov","orcid":"https://orcid.org/0000-0001-5891-0582","contributorId":204478,"corporation":false,"usgs":true,"family":"Kim","given":"Richard","email":"rkim@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":885901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenig, Elliot James 0000-0002-7217-315X eschoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-7217-315X","contributorId":291497,"corporation":false,"usgs":true,"family":"Schoenig","given":"Elliot","email":"eschoenig@usgs.gov","middleInitial":"James","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lien, Patrick C. 0000-0001-7183-0878","orcid":"https://orcid.org/0000-0001-7183-0878","contributorId":291498,"corporation":false,"usgs":true,"family":"Lien","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885904,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249958,"text":"70249958 - 2023 - Geochemical evidence for evolving Proterozoic crustal thickness and orogenic styles in southwestern Laurentia","interactions":[],"lastModifiedDate":"2023-11-08T12:50:50.930901","indexId":"70249958","displayToPublicDate":"2023-10-05T06:48:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evidence for evolving Proterozoic crustal thickness and orogenic styles in southwestern Laurentia","docAbstract":"

It has long been challenging for researchers to track the crustal thickness and mode(s) of crustal modification in ancient convergent margins, limiting evaluation of the tectonic styles and processes that modify continental crust during orogenesis. We present trace element igneous geochemical crustal thickness proxies that quantitatively track the crustal thickness evolution of the long-lived Proterozoic active margin in the southwestern U.S.A. We integrate these results with geobarometric data to constrain the mode of crustal modification. The data indicate a complex record of crustal thickness change in space and time and evolving orogenic styles. Geochemical proxies at 1.84–1.72 Ga are consistent with 20–40 km thick magmatic arcs that were locally thickened to ∼50 km during ∼1.75 Ga tectonism. During the Yavapai orogeny, 1.72–1.69 Ga, a ∼200-km-wide belt of 50-60 km thick crust extended from southern California to northern Colorado and was rapidly thinned and exhumed by ∼1.68 Ga. Crustal thickening and thinning during the Yavapai orogeny largely occurred by shortening and exhumation, respectively, in the upper 25 km of the crust. Subsequent 1.68–1.60 Ga tectonism involved crustal growth, local crustal thickening, and low-P, high-T metamorphism, consistent with extensional accretionary orogenesis. The 1.47–1.37 Ga Picuris orogeny was associated with 50–60 km thick crust across much of the Southwest and involved crustal shortening with ∼10 km of magmatic underplating. Advective heat from the emplacement of ferroan granites in the mid-crust likely contributed to elevated geothermal gradients and rheologically weakened the crust. Our results suggest evolving orogenic styles in the Southwest from 1.75–1.69 Ga short-lived crustal thickening associated with terrane accretion to 1.69–1.60 Ga largely extensional accretionary orogenesis, and regional, long-lived crustal thickening at 1.47–1.37 Ga involving extensive basaltic underplating. Contrasting with some recent hypotheses, our data document a complex middle Proterozoic record for the Southwest that was not orogenically quiescent or tectonically stagnant but involved complex mountain building styles.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2023.118417","usgsCitation":"Hillenbrand, I.W., Karlstrom, K.E., Williams, M.L., Gilmer, A.K., Premo, W.R., and Davis, P.B., 2023, Geochemical evidence for evolving Proterozoic crustal thickness and orogenic styles in southwestern Laurentia: Earth and Planetary Science Letters, v. 622, 118417, 14 p., https://doi.org/10.1016/j.epsl.2023.118417.","productDescription":"118417, 14 p.","ipdsId":"IP-152606","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":441951,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2023.118417","text":"Publisher Index Page"},{"id":422446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.76682325761803,\n 46.564426083384404\n ],\n [\n -117.76682325761803,\n 30.98454907779532\n ],\n [\n -101.50705763261821,\n 30.98454907779532\n ],\n [\n -101.50705763261821,\n 46.564426083384404\n ],\n [\n -117.76682325761803,\n 46.564426083384404\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"622","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":887808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Karl E.","contributorId":228844,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":887809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Michael L.","contributorId":215495,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":887810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilmer, Amy K. 0000-0001-5038-8136","orcid":"https://orcid.org/0000-0001-5038-8136","contributorId":218307,"corporation":false,"usgs":true,"family":"Gilmer","given":"Amy","email":"","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":887811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Premo, Wayne R. 0000-0001-9904-4801 wpremo@usgs.gov","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":1697,"corporation":false,"usgs":true,"family":"Premo","given":"Wayne","email":"wpremo@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":887812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Peter B","contributorId":331478,"corporation":false,"usgs":false,"family":"Davis","given":"Peter","email":"","middleInitial":"B","affiliations":[{"id":39120,"text":"Pacific Lutheran University","active":true,"usgs":false}],"preferred":false,"id":887813,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70249364,"text":"70249364 - 2023 - Lessons learned from the 2022 CONVERSE Monogenetic Volcanism Response Scenario exercise","interactions":[],"lastModifiedDate":"2023-10-04T21:26:44.530975","indexId":"70249364","displayToPublicDate":"2023-10-04T16:15:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"Lessons learned from the 2022 CONVERSE Monogenetic Volcanism Response Scenario exercise","docAbstract":"

When volcanic unrest occurs, the scientific community can advance fundamental understanding of volcanic systems, but only with coordination before, during, and after the event across academic and governmental agencies. To develop a coordinated response plan, the Community Network for Volcanic Eruption Response (CONVERSE) orchestrated a scenario exercise centered around a hypothetical volcanic crisis in Arizona’s San Francisco Volcanic Field (SFVF). The exercise ran virtually from February 4 to March 4, 2022. Over 60 scientists from both academic and governmental spheres participated. The scenario exercise was assessed for its effectiveness in supporting collaborative production of knowledge, catalyzing transdisciplinary collaboration, supporting researcher confidence, and fostering a culture of inclusion within the volcanology community. This identified a need to support early career researchers through community and allyship. Overall, the 2022 CONVERSE exercise demonstrated how a fully remote, extended scenario can be authentically implemented and help broaden participation within the volcano science community.

","language":"English","publisher":"Presses Universitaires de Strasbourg","doi":"10.30909/vol.06.02.345366","usgsCitation":"Lin, Y.C., Lev, E., Mukerji, R., Fischer, T., Connor, C.B., Stovall, W., Poland, M., Iezzi, A.M., Wauthier, C., Gonzalez-Santana, J., Wright, H.M., Wolf, S., and Kasali, T., 2023, Lessons learned from the 2022 CONVERSE Monogenetic Volcanism Response Scenario exercise: Volcanica, v. 6, no. 2, p. 345-366, https://doi.org/10.30909/vol.06.02.345366.","productDescription":"22 p.","startPage":"345","endPage":"366","ipdsId":"IP-146749","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":441953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol.06.02.345366","text":"Publisher Index Page"},{"id":421630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"San Francisco 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Coastal beach ecosystems support critical habitat for numerous species and are vulnerable to sea level rise. Sand beaches are spatially and temporally dynamic, making it difficult to accurately predict future habitat loss – estimates that are crucial as species are being assessed for protection. We mapped sand beach habitat on 12 focal barrier islands and low-lying beaches off the Gulf Coast of Florida, USA using two methods for comparison - a remotely sensed land cover and hand-digitized aerial imagery that was collected concurrently with digital elevation data. We then compared estimates of beach habitat lost to sea level rise between the two methods and compared this sensitivity to control mangrove islands. Predictions suggest that most of the beach habitat in our study areas will be underwater within the next century. These beaches represent critical nesting habitat for vulnerable vertebrate species such as the snowy plover (Charadrius nivosus) and the loggerhead turtle (Caretta caretta). Importantly, we found that for some islands, using remotely sensed land cover data led us to under- or over-estimate the amount of beach habitat lost to sea level rise relative to the digitized data because of the temporal mismatch between land cover and elevation data. In contrast, we found relatively little difference between methods in the amount of mangrove forest lost to sea level rise on nearby control islands. We suggest that using land cover data collected at the same time as elevation data can produce more accurate predictions of beach habitat inundation from sea level rise.

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Solutions","active":true,"usgs":false}],"preferred":false,"id":885232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barichivich, William 0000-0003-1103-6861","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":215988,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":885233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walls, Susan C. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":216235,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":885234,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248901,"text":"ofr20231059 - 2023 - Implementation plan of the National Cooperative Geologic Mapping Program strategy—Northeast region of the United States: New York and New England","interactions":[],"lastModifiedDate":"2026-02-11T21:33:09.483655","indexId":"ofr20231059","displayToPublicDate":"2023-10-04T11:45:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1059","displayTitle":"Implementation Plan of the National Cooperative Geologic Mapping Program Strategy—Northeast Region of the United States: New York and New England","title":"Implementation plan of the National Cooperative Geologic Mapping Program strategy—Northeast region of the United States: New York and New England","docAbstract":"Complexly deformed igneous, metamorphic, and sedimentary rocks form the bedrock of the Northeast region of the United States. Variably thick unconsolidated sediments deposited by glacial, fluvial, and eolian systems locally cover the bedrock. New geologic mapping focuses on areas lacking modern, detailed studies or syntheses, and contributes to existing framework research. This report addresses plans for the continued development of regionally and nationally consistent geologic maps and map databases, efforts to answer outstanding geologic questions, and societal concerns associated with related geologic topics, such as hazards, geologic and hydrologic resources, and environmental issues.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231059","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Walsh, G.J., Thomas, M.A., Marvinney, R.G., Mabee, S.B., Chormann, F.H., Kozlowski, A., Gale, M.H., Kim, J., and Savage, B., 2023, Implementation plan of the National Cooperative Geologic Mapping Program strategy—Northeast region of the United States—New York and New England: U.S. Geological Survey Open-File Report 2023–1059, 21 p., https://doi.org/10.3133/ofr20231059","productDescription":"iv, 21 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\"}}]}","contact":"

Director, Florence Bascom Geoscience Center
U.S. Geological Survey
12201 Sunrise Valley Drive
MS 926A
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","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-10-04","noUsgsAuthors":false,"publicationDate":"2023-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":265307,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":884136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Margaret A.","contributorId":191171,"corporation":false,"usgs":false,"family":"Thomas","given":"Margaret A.","affiliations":[],"preferred":false,"id":884137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvinney, Robert G.","contributorId":131130,"corporation":false,"usgs":false,"family":"Marvinney","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":7257,"text":"Maine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":884138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mabee, Stephen B.","contributorId":211593,"corporation":false,"usgs":false,"family":"Mabee","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":884139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chormann, Frederick H.","contributorId":330157,"corporation":false,"usgs":false,"family":"Chormann","given":"Frederick","email":"","middleInitial":"H.","affiliations":[{"id":78828,"text":"New Hampshire Geological Survey","active":true,"usgs":false}],"preferred":false,"id":884140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kozlowski, Andrew","contributorId":192829,"corporation":false,"usgs":false,"family":"Kozlowski","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":884141,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gale, Marjorie H.","contributorId":330158,"corporation":false,"usgs":false,"family":"Gale","given":"Marjorie H.","affiliations":[{"id":78829,"text":"Vermont Geological Survey","active":true,"usgs":false}],"preferred":false,"id":884142,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kim, Jon","contributorId":152460,"corporation":false,"usgs":false,"family":"Kim","given":"Jon","email":"","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":884143,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Savage, Brian","contributorId":330159,"corporation":false,"usgs":false,"family":"Savage","given":"Brian","email":"","affiliations":[{"id":78830,"text":"Rhode Island Geological Survey","active":true,"usgs":false}],"preferred":false,"id":884144,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70263929,"text":"70263929 - 2023 - Interlaboratory comparison of testing hydraulic, elastic, and failure properties in compression: Lessons learned","interactions":[],"lastModifiedDate":"2025-02-28T15:41:13.652969","indexId":"70263929","displayToPublicDate":"2023-10-04T09:38:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Interlaboratory comparison of testing hydraulic, elastic, and failure properties in compression: Lessons learned","docAbstract":"

Many geoscientific problems require us to exploit synergies of experimental and numerical approaches, which in turn lead to questions regarding the significance of experimental details for validation of numerical codes. We report results of an interlaboratory comparison regarding experimental determination of mechanical and hydraulic properties of samples from five rock types, three sandstone varieties with porosities ranging from 5% to 20%, a marble, and a granite. The objective of this study was to build confidence in the participating laboratories’ testing approaches and to establish tractable standards for several physical properties of rocks. We addressed the issue of sample-to-sample variability by investigating the variability of basic physical properties of samples of a particular rock type and by performing repeat tests. Compressive strength of the different rock types spans an order of magnitude and shows close agreement between the laboratories. However, differences among stress–strain relations indicate that the external measurement of axial displacement and the determination of system stiffness require special attention, apparently more so than the external load measurement. Furthermore, post-failure behavior seems to exhibit some machine-dependence. The different methods used for the determination of hydraulic permeability, covering six orders of magnitude for the sample suite, yield differences in absolute values and pressure dependence for some rocks but not for others. The origin of the differences in permeability, in no case exceeding an order of magnitude, correlate with the compressive strength and potentially reflect a convolution of end plug–sample interaction, sample-to-sample variability, heterogeneity on sample scale, and/or anisotropy, the last two aspects are notably not accounted for by the applied evaluation procedures. Our study provides an extensive data set apt for “benchmarking” considerations, be it regarding new laboratory equipment or numerical modeling approaches.

","language":"English","publisher":"Springer","doi":"10.1007/s12665-023-11173-x","usgsCitation":"Cheng, Y., Lockner, D., Duda, M., Morrow, C., Saffer, D., Song, I., and Renner, J., 2023, Interlaboratory comparison of testing hydraulic, elastic, and failure properties in compression: Lessons learned: Environmental Earth Sciences, v. 82, 509, 20 p., https://doi.org/10.1007/s12665-023-11173-x.","productDescription":"509, 20 p.","ipdsId":"IP-118956","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487585,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s12665-023-11173-x","text":"Publisher Index Page"},{"id":482640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","noUsgsAuthors":false,"publicationDate":"2023-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheng, Yang","contributorId":211352,"corporation":false,"usgs":false,"family":"Cheng","given":"Yang","email":"","affiliations":[],"preferred":false,"id":929146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":257574,"corporation":false,"usgs":true,"family":"Lockner","given":"David A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":929147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duda, Mandy","contributorId":351625,"corporation":false,"usgs":false,"family":"Duda","given":"Mandy","affiliations":[{"id":84018,"text":"Ruhr-Universitat Bochum, Germany","active":true,"usgs":false}],"preferred":false,"id":929148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrow, Carolyn A.","contributorId":328522,"corporation":false,"usgs":false,"family":"Morrow","given":"Carolyn A.","affiliations":[{"id":37196,"text":"Retired USGS employee","active":true,"usgs":false}],"preferred":false,"id":929149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saffer, Demian","contributorId":351626,"corporation":false,"usgs":false,"family":"Saffer","given":"Demian","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":929150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Song, Insun","contributorId":351627,"corporation":false,"usgs":false,"family":"Song","given":"Insun","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":929151,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Renner, Joerg","contributorId":351628,"corporation":false,"usgs":false,"family":"Renner","given":"Joerg","affiliations":[{"id":84018,"text":"Ruhr-Universitat Bochum, Germany","active":true,"usgs":false}],"preferred":false,"id":929152,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70249378,"text":"70249378 - 2023 - Reimagining large river management using the Resist–Accept–Direct (RAD) framework in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2023-10-05T11:57:11.26009","indexId":"70249378","displayToPublicDate":"2023-10-04T06:52:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1460,"text":"Ecological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Reimagining large river management using the Resist–Accept–Direct (RAD) framework in the Upper Mississippi River","docAbstract":"

Background

Large-river decision-makers are charged with maintaining diverse ecosystem services through unprecedented social-ecological transformations as climate change and other global stressors intensify. The interconnected, dendritic habitats of rivers, which often demarcate jurisdictional boundaries, generate complex management challenges. Here, we explore how the Resist–Accept–Direct (RAD) framework may enhance large-river management by promoting coordinated and deliberate responses to social-ecological trajectories of change. The RAD framework identifies the full decision space of potential management approaches, wherein managers may resist change to maintain historical conditions, accept change toward different conditions, or direct change to a specified future with novel conditions. In the Upper Mississippi River System, managers are facing social-ecological transformations from more frequent and extreme high-water events. We illustrate how RAD-informed basin-, reach-, and site-scale decisions could: (1) provide cross-spatial scale framing; (2) open the entire decision space of potential management approaches; and (3) enhance coordinated inter-jurisdictional management in response to the trajectory of the Upper Mississippi River hydrograph.

Results

The RAD framework helps identify plausible long-term trajectories in different reaches (or subbasins) of the river and how the associated social-ecological transformations could be managed by altering site-scale conditions. Strategic reach-scale objectives may reprioritize how, where, and when site conditions could be altered to contribute to the basin goal, given the basin’s plausible trajectories of change (e.g., by coordinating action across sites to alter habitat connectivity, diversity, and redundancy in the river mosaic).

Conclusions

When faced with long-term systemic transformations (e.g., > 50 years), the RAD framework helps explicitly consider whether or when the basin vision or goals may no longer be achievable, and direct options may open yet unconsidered potential for the basin. Embedding the RAD framework in hierarchical decision-making clarifies that the selection of actions in space and time should be derived from basin-wide goals and reach-scale objectives to ensure that site-scale actions contribute effectively to the larger river habitat mosaic. Embedding the RAD framework in large-river decisions can provide the necessary conduit to link flexibility and innovation at the site scale with stability at larger scales for adaptive governance of changing social-ecological systems.

","language":"English","publisher":"Springer","doi":"10.1186/s13717-023-00460-x","usgsCitation":"Ward, N.K., Lynch, A., Beever, E.A., Booker, J., Bouska, K.L., Embke, H.S., Kocik, J.F., Kocik, J., Lemon, M.G., Lawrence, D.J., Limpinsel, D., Magee, M., Maitland, B.M., McKenna, O.P., Meier, A.R., Morton, J., Muehlbauer, J., Newman, R., Oliver, D.C., Rantala, H.M., Sass, G., Shultz, A.D., Thompson, L., and Wilkening, J.L., 2023, Reimagining large river management using the Resist–Accept–Direct (RAD) framework in the Upper Mississippi River: Ecological Processes, v. 12, 48, 20 p., https://doi.org/10.1186/s13717-023-00460-x.","productDescription":"48, 20 p.","ipdsId":"IP-151992","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":441957,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13717-023-00460-x","text":"Publisher Index Page"},{"id":421668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.89996697327331,\n 46.93330472296154\n ],\n [\n -94.89996697327331,\n 36.2596822615336\n ],\n [\n -86.46246697327341,\n 36.2596822615336\n ],\n [\n -86.46246697327341,\n 46.93330472296154\n ],\n [\n -94.89996697327331,\n 46.93330472296154\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2023-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Ward, Nicole K.","contributorId":297294,"corporation":false,"usgs":false,"family":"Ward","given":"Nicole","email":"","middleInitial":"K.","affiliations":[{"id":64354,"text":"Virginia Tech, Department of Biological Sciences & Forest Resources & Environmental Conservation, Blacksburg, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":885384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":885385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":885386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booker, Joshua","contributorId":200019,"corporation":false,"usgs":false,"family":"Booker","given":"Joshua","email":"","affiliations":[{"id":17755,"text":"U.S. Fish and Wildlife Service, Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":885387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":885388,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":270754,"corporation":false,"usgs":true,"family":"Embke","given":"Holly","email":"","middleInitial":"Susan","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":885389,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kocik, John F.","contributorId":315443,"corporation":false,"usgs":false,"family":"Kocik","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":68326,"text":"NOAA Fisheries NEFSC Maine Field Station, 17 Godfrey Drive-Suite 1, Orono, Maine 04473, USA","active":true,"usgs":false}],"preferred":false,"id":885390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kocik, Joshua","contributorId":330592,"corporation":false,"usgs":false,"family":"Kocik","given":"Joshua","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":885391,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lemon, Mary Grace T.","contributorId":198501,"corporation":false,"usgs":false,"family":"Lemon","given":"Mary","email":"","middleInitial":"Grace T.","affiliations":[],"preferred":false,"id":885487,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lawrence, David J. 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Museum","active":true,"usgs":false}],"preferred":false,"id":885394,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Maitland, Bryan M. 0000-0002-4491-5064","orcid":"https://orcid.org/0000-0002-4491-5064","contributorId":216559,"corporation":false,"usgs":false,"family":"Maitland","given":"Bryan","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":885395,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":885396,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Meier, Andrew R.","contributorId":215691,"corporation":false,"usgs":false,"family":"Meier","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":885488,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Morton, John M.","contributorId":245969,"corporation":false,"usgs":false,"family":"Morton","given":"John M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":885397,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Muehlbauer, Jeffrey 0000-0003-1808-580X","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":221739,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":885398,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Newman, Robert","contributorId":248514,"corporation":false,"usgs":false,"family":"Newman","given":"Robert","affiliations":[],"preferred":false,"id":885399,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Oliver, Devon C.","contributorId":330594,"corporation":false,"usgs":false,"family":"Oliver","given":"Devon","email":"","middleInitial":"C.","affiliations":[{"id":65315,"text":"MN DNR","active":true,"usgs":false}],"preferred":false,"id":885400,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Rantala, Heidi M.","contributorId":330595,"corporation":false,"usgs":false,"family":"Rantala","given":"Heidi","email":"","middleInitial":"M.","affiliations":[{"id":65315,"text":"MN DNR","active":true,"usgs":false}],"preferred":false,"id":885401,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Sass, Greg G.","contributorId":244466,"corporation":false,"usgs":false,"family":"Sass","given":"Greg G.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":885402,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Shultz, Aaron D.","contributorId":303739,"corporation":false,"usgs":false,"family":"Shultz","given":"Aaron","email":"","middleInitial":"D.","affiliations":[{"id":16233,"text":"Great Lakes Indian Fish and Wildlife Commission","active":true,"usgs":false}],"preferred":false,"id":885403,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":207364,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":885404,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Wilkening, Jennifer L. 0000-0001-8748-4578","orcid":"https://orcid.org/0000-0001-8748-4578","contributorId":127685,"corporation":false,"usgs":false,"family":"Wilkening","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7111,"text":"U. Colorado, Boulder, Dept. Ecology & Evol.Biol., PhD Student","active":true,"usgs":false}],"preferred":false,"id":885405,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70256518,"text":"70256518 - 2023 - Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin","interactions":[],"lastModifiedDate":"2024-09-09T15:52:04.867925","indexId":"70256518","displayToPublicDate":"2023-10-03T10:49:10","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-153-2023","title":"Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin","docAbstract":"

We investigated the spatial and temporal distribution of Bighead Carp and Silver Carp (hereafter Carp) in the lower Red River basin of Arkansas. Our study objectives were: 1) determine the spatial and temporal extent of Bighead and Silver Carp in the Red River basin of Arkansas; 2) determine habitat associations of large river fish assemblages; and 3) summarize the demographics of Bighead and Silver Carp. We sampled 67 reaches in the lower Red River and its major tributaries for juvenile Carp and other small-bodied fishes (24 of the reaches were in the Arkansas portion of the Red River). We conducted repeated surveys in these reaches where the reaches were sampled 2-3 times over approximately 2 years representing 242 surveys (95 surveys in Arkansas). We completed adult Carp and native fish assemblage sampling across 61 reaches (22 reaches in Arkansas) where we also repeated surveys at these locations (245 total surveys, 100 surveys completed in Arkansas during the reporting period). We captured the most large-bodied fishes (including Carp) using gillnets and electrofishing, whereas fyke nets and seine hauls collected mainly smaller-bodied fishes. Hoop nets captured fewer fishes when compared to other gear types. We sampled 120,072 fishes, comprising 70 species and 41 genera, from the mainstem Red River in Arkansas.  We used data associated with the entire catchment (including OK and TX data) to model the occupancy of adult fishes including both carp species. Carp tended to occupy reaches with the presence of slackwater habitat, that were deeper and narrower (lower habitat complexity), with higher discharge conditions, and were positively associated with chlorophyll-a concentrations. Adult and juvenile assemblage structure varied with reach scale attributes with notable differences among some taxonomically similar species. No carp under the age of 3 were sampled in the catchment. Bighead Carp and Silver Carp in the Red River catchment appear to live longer and grow larger than other populations. Silver Carp and Bighead Carp in the lower Red River had a theoretical maximum length (L_∞) of 920 and 1348-mm TL, respectively. The oldest sampled Silver Carp and Bighead Carp were age 14 and 17, respectively. Bighead Carp growth was positively associated with warmer air temperatures and negatively associated with discharge variability. Similarly, Silver Carp growth was positively associated with the warm air temperature and negatively associated with discharge variability. However, Silver Carp growth was also positively related to high discharge conditions and the variability of air temperature. Silver Carp annual mortality was relatively low and recruitment into the population appeared steady. It appears that Carp are likely coming from another catchment, have only limited or periodic successful reproduction in the study area, or spawn downriver in LA. Continued monitoring for reproductive success would be helpful. Moreover, if the goal is to greatly reduce or eliminate carp, then strategies to prevent further immigration would be ideal before reproduction occurs or becomes more successful. Targeted removal may then be useful for reducing numbers already in the catchment; however, there are also oxbow lakes that contain carp but appear only connected to the river during major floods (i.e., possible source locations).

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Brewer, S.K., Dattilo, J., Ramsey, P., and Birdsall, B., 2023, Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin: Cooperator Science Series FWS/CSS-153-2023, ii, 193 p.","productDescription":"ii, 193 p.","ipdsId":"IP-154807","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":431854,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/evaluating-spatial-and-temporal-distribution-and-ecology-bighead-and-silver-carp-and-native"},{"id":433628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dattilo, John","contributorId":341000,"corporation":false,"usgs":false,"family":"Dattilo","given":"John","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":907784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramsey, Paul","contributorId":341001,"corporation":false,"usgs":false,"family":"Ramsey","given":"Paul","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":907785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birdsall, Ben","contributorId":341002,"corporation":false,"usgs":false,"family":"Birdsall","given":"Ben","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":907786,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256477,"text":"70256477 - 2023 - Striped bass exploitation in tailwater habitats of east-central Oklahoma","interactions":[],"lastModifiedDate":"2024-09-09T15:47:17.424251","indexId":"70256477","displayToPublicDate":"2023-10-03T10:41:23","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-152-2023","title":"Striped bass exploitation in tailwater habitats of east-central Oklahoma","docAbstract":"

Striped Bass (Morone saxatilis) is naturally anadromous, but a few land-locked populations have been documented that are self-sustaining, including fish in the Arkansas River, Oklahoma. This rare population is the source of brood stock for the Oklahoma Department of Wildlife Conservation hatcheries and is an important sportfish stock. Striped Bass often congregate in tailwater habitats, where anecdotal observations indicate anglers can harvest numerous fish daily. This suggests the need to evaluate the sustainability of harvest in these locations. It is unknown what portion of fish from the Arkansas River population use tailwater habitats or the timing and duration of use. The objectives of this study were to: 1) determine size structure , abundance, and total mortality rate of Striped Bass in the tailwaters of Tenkiller Lake and Lake Eufaula; 2) determine the extent and timing of immigration and emigration of Striped Bass in tailwater habitats to determine the potential for overharvest when they congregate in tailwater areas; 3) estimate delayed hooking mortality of Striped Bass in spring and summer; and 4) using the above data and modeling simulations, determine the potential for growth overfishing of Striped Bass in the tailwater reaches. We sampled 2,730 Striped Bass using boat electrofishing and tagged with passive integrated transponder (PIT) tags to estimate demographic data using a capture-recapture model. A subset of these Striped Bass was tagged with angler reward tags (internal anchor tags, n = 681) and dual technology acoustic-radio telemetry tags (n = 111) to estimate exploitation and track movements, respectively. Anglers returned 116 tags from 2020 to 2022; and our angler reporting rate was estimated to be 14.3%. Annual harvest mortality is minimally 7% (unadjusted for reporting rate) but could be as high as 42% (i.e., adjusting for compliance; but this exceeds the measured total mortality rate (34.3%) so true exploitation is probably 7–34.3%). Our abundance estimates for Striped Bass varied seasonally (ranging from 782 to 38,597 seasonally) and had a high level of uncertainty likely due to relatively low recapture rates. Additionally, our results indicated that Striped Bass exhibited a strong fidelity to their respective habitats within seasons, with fidelity probabilities ranging from 0.98 to 1.00. Movement among segments was common among seasons, indicating these localized populations mix with a larger population annually. Striped Bass were primarily in tailwater habitats during summer. Delayed hooking mortality data were collected in summer 2022. Due to habitat conditions that year, angling catch rates were low. Twenty-nine Striped Bass were tagged, and only eight Striped Bass remained tagged long enough to be tracked at least one day. The total time tracked for these eight fish was between one and three days. There were no confirmed mortalities, treatment, or control. Because of the low sample size, literature values for delayed hooking mortality were also used to supplement field data in the models. The yield-per-recruit model indicated exploitation at 30% or higher leads to recruitment overfishing. A 600 mm minimum TL regulation and 25–30% exploitation rate achieve maximum yield (954 kg/1,000 recruits). Maximum yield related to an average size at harvest of 718-mm TL; thus, growth overfishing occurs for any regulation where average size of harvest is smaller than 718 mm (which the model predicted would occur for any minimum length < 600, and for minimum length = 600 if exploitation was > 30%, it never occurred with minimum length requirements > 650). Increasing the minimum length regulation improves size structure, but a maximum length regulation had minimal effect unless it was implemented at a sufficiently small size (i.e., < 700 mm). Although catch-and-release mortality can be relatively high at times in the literature, according to our model, it appears to have a small effect on size structure, except when exploitation rates are > 50% and a restrictive maximum size regulation (< 800 mm) is used.  The current population appears sustainable, especially considering the annual mixing dynamics and apparently large population (though we see a lot of uncertainty in the population estimates). However, modeling indicates that if enhancing size structure is an agency priority, then implementing more restrictive regulations could be advantageous.

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Vaisvil, A., Shoup, D., and Brewer, S.K., 2023, Striped bass exploitation in tailwater habitats of east-central Oklahoma: Cooperator Science Series FWS/CSS-152-2023, ii, 67 p.","productDescription":"ii, 67 p.","ipdsId":"IP-155654","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":431818,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/striped-bass-exploitation-tailwater-habitats-east-central-oklahoma"},{"id":433626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.68089573693297,\n 35.1807887620315\n ],\n [\n -94.68089573693297,\n 35.735103019942684\n ],\n [\n -95.40145518290683,\n 35.735103019942684\n ],\n [\n -95.40145518290683,\n 35.1807887620315\n ],\n [\n -94.68089573693297,\n 35.1807887620315\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vaisvil, Alex","contributorId":340784,"corporation":false,"usgs":false,"family":"Vaisvil","given":"Alex","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoup, Daniel","contributorId":340785,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907555,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70270685,"text":"70270685 - 2023 - Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin","interactions":[],"lastModifiedDate":"2025-08-22T15:14:39.937639","indexId":"70270685","displayToPublicDate":"2023-10-03T10:05:53","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-153-2023","title":"Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin","docAbstract":"

We investigated the spatial and temporal distribution of Bighead Carp and Silver Carp (hereafter Carp) in the lower Red River basin of Arkansas. Our study objectives were: 1) determine the spatial and temporal extent of Bighead and Silver Carp in the Red River basin of Arkansas; 2) determine habitat associations of large river fish assemblages; and 3) summarize the demographics of Bighead and Silver Carp. We sampled 67 reaches in the lower Red River and its major tributaries for juvenile Carp and other small-bodied fishes (24 of the reaches were in the Arkansas portion of the Red River). We conducted repeated surveys in these reaches where the reaches were sampled 2-3 times over approximately 2 years representing 242 surveys (95 surveys in Arkansas). We completed adult Carp and native fish assemblage sampling across 61 reaches (22 reaches in Arkansas) where we also repeated surveys at these locations (245 total surveys, 100 surveys completed in Arkansas during the reporting period). We captured the most large-bodied fishes (including Carp) using gillnets and electrofishing, whereas fyke nets and seine hauls collected mainly smaller-bodied fishes. Hoop nets captured fewer fishes when compared to other gear types. We sampled 120,072 fishes, comprising 70 species and 41 genera, from the mainstem Red River in Arkansas. We used data associated with the entire catchment (including OK and TX data) to model the occupancy of adult fishes including both carp species. Carp tended to occupy reaches with the presence of slackwater habitat, that were deeper and narrower (lower habitat complexity), with higher discharge conditions, and were positively associated with chlorophyll-a concentrations. Adult and juvenile assemblage structure varied with reach scale attributes with notable differences among some taxonomically similar species. No carp under the age of 3 were sampled in the catchment. Bighead Carp and Silver Carp in the Red River catchment appear to live longer and grow larger than other populations. Silver Carp and Bighead Carp in the lower Red River had a theoretical maximum length (\uD835\uDC3F∞) of 920 and 1,348-mm TL, respectively. The oldest sampled Silver Carp and Bighead Carp were age 14 and 17, respectively. Bighead Carp growth was positively associated with warmer air temperatures and negatively associated with discharge variability. Similarly, Silver Carp growth was positively associated with warm air temperature and negatively associated with discharge variability. However, Silver Carp growth was also positively related to high discharge conditions and the variability of air temperature. Silver Carp annual mortality was relatively low and recruitment into the population appeared steady. It appears that Carp are likely coming from another catchment, have only limited or periodic successful reproduction in the study area, or spawn downriver in LA. Continued monitoring for reproductive success would be helpful. Moreover, if the goal is to greatly reduce or eliminate carp, then strategies that prevent further immigration before reproduction occurs or becomes more successful would be ideal. Targeted removal may then be useful for reducing numbers already in the catchment; however, there are also oxbow lakes that contain carp but appear only connected to the river during major floods (i.e., possible source locations). 

","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css88134777","usgsCitation":"Brewer, S., Dattilo, J., Ramsey, P., and Birdsall, B., 2023, Evaluating the spatial and temporal distribution and ecology of Bighead and Silver Carp and native fishes of the lower Red River basin: Cooperator Science Series CSS-153-2023, ii, 193 p., https://doi.org/10.3996/css88134777.","productDescription":"ii, 193 p.","ipdsId":"IP-177588","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3996/css88134777","text":"Publisher Index Page"},{"id":494522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Oklahoma, Texas","otherGeospatial":"lower Red River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.79873940117595,\n 34.31284035073031\n ],\n [\n -96.79873940117595,\n 33.02263338338369\n ],\n [\n -93.57412593043699,\n 33.02263338338369\n ],\n [\n -93.57412593043699,\n 34.31284035073031\n ],\n [\n -96.79873940117595,\n 34.31284035073031\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2023-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dattilo, John","contributorId":341000,"corporation":false,"usgs":false,"family":"Dattilo","given":"John","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramsey, Paul","contributorId":341001,"corporation":false,"usgs":false,"family":"Ramsey","given":"Paul","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birdsall, Ben","contributorId":341002,"corporation":false,"usgs":false,"family":"Birdsall","given":"Ben","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":946824,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250109,"text":"70250109 - 2023 - Effects of vehicle traffic on space use and road crossings of caribou in the Arctic","interactions":[],"lastModifiedDate":"2023-12-04T17:27:48.321119","indexId":"70250109","displayToPublicDate":"2023-10-03T09:30:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of vehicle traffic on space use and road crossings of caribou in the Arctic","docAbstract":"

Assessing the effects of industrial development on wildlife is a key objective of managers and conservation practitioners. However, wildlife responses are often only investigated with respect to the footprint of infrastructure, even though human activity can strongly mediate development impacts. In Arctic Alaska, there is substantial interest in expanding energy development, raising concerns about the potential effects on barren-ground caribou (Rangifer tarandus granti). While caribou generally avoid industrial infrastructure, little is known about the role of human activity in moderating their responses, and whether managing activity levels could minimize development effects. To address this uncertainty, we examined the influence of traffic volume on caribou summer space use and road crossings in the Central Arctic Herd within the Kuparuk and Milne Point oil fields on the North Slope of Alaska. We first modeled spatiotemporal variation in hourly traffic volumes across the road system from traffic counter data using gradient-boosted regression trees. We then used generalized additive models to estimate nonlinear step selection functions and road-crossing probabilities from collared female caribou during the post-calving and insect harassment seasons, when they primarily interact with roads. Step selection analyses revealed that caribou selected areas further from roads (~1–3 km) during the post-calving and mosquito seasons and selected areas with lower traffic volumes during all seasons, with selection probabilities peaking when traffic was <5 vehicles/h. Using road-crossing models, we found that caribou were less likely to cross roads during the insect seasons as traffic increased, but that response dissipated as insect harassment became more severe. Past studies suggested that caribou exhibit behavioral responses when traffic exceeds 15 vehicles/h, but our results demonstrate behavioral responses at much lower traffic levels. Our results illustrate that vehicle activity mediates caribou responses to road infrastructure, information that can be used in future land-use planning to minimize the behavioral responses of caribou to industrial development in sensitive Arctic landscapes.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2923","usgsCitation":"Severson, J.P., Johnson, H.E., and Vosburgh, T.C., 2023, Effects of vehicle traffic on space use and road crossings of caribou in the Arctic: Ecological Applications, v. 33, no. 8, e2923, 21 p., https://doi.org/10.1002/eap.2923.","productDescription":"e2923, 21 p.","ipdsId":"IP-145608","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":504068,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1NZMCND","text":"USGS data release","linkHelpText":"GPS Tracking Metadata for Caribou (Rangifer tarandus) from the Central Arctic Herd, Alaska, 2015-2021"},{"id":441958,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2923","text":"Publisher Index Page"},{"id":435163,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HXW3N5","text":"USGS data release","linkHelpText":"Hourly Vehicle Traffic Data Associated with Industrial Activity on the North Slope of Alaska During Summers 2019-2020"},{"id":422728,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -149.86133804316822,\n 70.5106570028494\n ],\n [\n -150.1022371487244,\n 70.43506564845134\n ],\n [\n -150.2251448556409,\n 70.43341923336993\n ],\n [\n -150.57911905156016,\n 70.3773618530881\n ],\n [\n -150.74135722468978,\n 70.32611628176022\n ],\n [\n -150.84459969849965,\n 70.2448529934669\n ],\n [\n -150.83476708194632,\n 70.20992730257379\n ],\n [\n -150.71677568330648,\n 70.143238146334\n ],\n [\n -151.12482927026898,\n 69.73513298795481\n ],\n [\n -150.58895166811348,\n 69.72322531382761\n ],\n [\n -150.42671349498383,\n 69.76237009655026\n ],\n [\n -150.24972639702415,\n 69.86563513788099\n ],\n [\n -150.16123284804445,\n 69.94084273688509\n ],\n [\n -149.85642173489157,\n 69.9705480654984\n ],\n [\n -149.4606589186207,\n 70.04604045538369\n ],\n [\n -149.24679950858615,\n 70.08973159573645\n ],\n [\n -148.97640255337,\n 70.26312377942679\n ],\n [\n -149.04031456096658,\n 70.34927534019323\n ],\n [\n -148.91740685405023,\n 70.41529987953601\n ],\n [\n -149.0501471775199,\n 70.48111126247821\n ],\n [\n -149.46311707275905,\n 70.52213540068598\n ],\n [\n -149.649936787272,\n 70.5106570028494\n ],\n [\n -149.86133804316822,\n 70.5106570028494\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Severson, John P. 0000-0002-1754-6689","orcid":"https://orcid.org/0000-0002-1754-6689","contributorId":213469,"corporation":false,"usgs":true,"family":"Severson","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":888389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":888390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vosburgh, Timothy C.","contributorId":331661,"corporation":false,"usgs":false,"family":"Vosburgh","given":"Timothy","email":"","middleInitial":"C.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":888391,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70249375,"text":"70249375 - 2023 - How long do runoff-generated debris-flow hazards persist after wildfire?","interactions":[],"lastModifiedDate":"2023-10-05T12:25:34.339245","indexId":"70249375","displayToPublicDate":"2023-10-03T07:24:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"How long do runoff-generated debris-flow hazards persist after wildfire?","docAbstract":"

Runoff-generated debris flows are a potentially destructive and deadly response to wildfire until sufficient vegetation and soil-hydraulic recovery have reduced susceptibility to the hazard. Elevated debris-flow susceptibility may persist for several years, but the controls on the timespan of the susceptible period are poorly understood. To evaluate the connection between vegetation recovery and debris-flow occurrence, we calculated recovery for 25 fires in the western United States using satellite-derived leaf area index (LAI) and compared recovery estimates to the timing of 536 debris flows from the same fires. We found that the majority (>98%) of flows occurred when LAI was less than 2/3 of typical prefire values. Our results show that total vegetation recovery is not necessary to inhibit runoff-generated flows in a wide variety of regions in the western United States. Satellite-derived vegetation data show promise for estimating the timespan of debris-flow susceptibility.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GL105101","usgsCitation":"Graber, A.P., Thomas, M.A., and Kean, J.W., 2023, How long do runoff-generated debris-flow hazards persist after wildfire?: Geophysical Research Letters, v. 50, no. 19, e2023GL105101, 10 p., https://doi.org/10.1029/2023GL105101.","productDescription":"e2023GL105101, 10 p.","ipdsId":"IP-153081","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":441961,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl105101","text":"Publisher Index Page"},{"id":435164,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98Q4CDH","text":"USGS data release","linkHelpText":"Compilation of runoff-generated debris-flow inventories for 17 fires across Arizona, California, Colorado, New Mexico, and Washington, USA"},{"id":421673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -127.73580454866216,\n 50.89584069263282\n ],\n [\n -127.73580454866216,\n 30.13526525190572\n ],\n [\n -101.983851423662,\n 30.13526525190572\n ],\n [\n -101.983851423662,\n 50.89584069263282\n ],\n [\n -127.73580454866216,\n 50.89584069263282\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"19","noUsgsAuthors":false,"publicationDate":"2023-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Graber, Andrew Paul 0000-0003-4179-0291","orcid":"https://orcid.org/0000-0003-4179-0291","contributorId":304628,"corporation":false,"usgs":true,"family":"Graber","given":"Andrew","email":"","middleInitial":"Paul","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":885378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Matthew A. 0000-0002-9828-5539 matthewthomas@usgs.gov","orcid":"https://orcid.org/0000-0002-9828-5539","contributorId":200616,"corporation":false,"usgs":true,"family":"Thomas","given":"Matthew","email":"matthewthomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":885379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":885380,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259334,"text":"70259334 - 2023 - Lateral edifice collapse and volcanic debris avalanches: A post-1980 Mount St. Helens perspective","interactions":[],"lastModifiedDate":"2024-10-04T12:22:29.122277","indexId":"70259334","displayToPublicDate":"2023-10-03T07:19:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Lateral edifice collapse and volcanic debris avalanches: A post-1980 Mount St. Helens perspective","docAbstract":"

The 1980 eruption of Mount St. Helens was instrumental in advancing understanding of how volcanoes work. Lateral edifice collapses and the generation of volcanic debris avalanches were not widely recognized prior to that eruption, making assessment of their hazards and risks challenging. The proliferation of studies since 1980 on resulting deposits and evaluation of processes leading to their generation has built on the insights from the 1980 eruption. Volcano-related destabilizing phenomena, such as strength reduction by hydrothermal alteration, deformation and structural modifications from shallow magma intrusion, and thermal pressurization of pore fluids supplement those factors also affecting nonvolcanic slopes and can lead to larger failures. Remote and ground-based monitoring techniques can aid in detecting potentially destabilizing dynamic processes and in forecasting the size and location of future large lateral collapses, although forecasting remains a topic of investigation. More than a thousand large lateral collapse events likely ≥ 0.01 km3 in volume have now been identified from deposits or inferred from source area morphology, leading to a recognition of their importance in the evolution of volcanoes and the hazards they pose. Criteria for recognition of debris-avalanche deposits include morphological factors and textural characteristics from outcrop to microscopic scale, allowing discrimination from other volcaniclastic deposits. Lateral edifice failure impacts a broad spectrum of volcanic structures in diverse tectonic settings and can occur multiple times during the evolution of individual volcanoes. Globally, collapses ≥ 0.1 km3 in volume have been documented 5–6 times per century since 1500 CE, with about one per century having a volume ≥ 1 km3. Smaller events < 0.1 km3 are underrepresented in the earlier record but also have high hazard impact.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-023-01662-z","usgsCitation":"Siebert, L., and Reid, M.E., 2023, Lateral edifice collapse and volcanic debris avalanches: A post-1980 Mount St. Helens perspective: Bulletin of Volcanology, v. 85, 61, 54 p., https://doi.org/10.1007/s00445-023-01662-z.","productDescription":"61, 54 p.","ipdsId":"IP-142384","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467087,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-023-01662-z","text":"Publisher Index Page"},{"id":462584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wasgington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.51023965979203,\n 46.35196948129064\n ],\n [\n -122.51023965979203,\n 46.030449145843676\n ],\n [\n -121.89265229272772,\n 46.030449145843676\n ],\n [\n -121.89265229272772,\n 46.35196948129064\n ],\n [\n -122.51023965979203,\n 46.35196948129064\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"85","noUsgsAuthors":false,"publicationDate":"2023-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Siebert, Lee","contributorId":20475,"corporation":false,"usgs":false,"family":"Siebert","given":"Lee","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":914972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":914973,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70249272,"text":"70249272 - 2023 - Monitoring sediment transport pathways from an artificial nearshore berm, South Padre Island, Texas, USA, August 2018 to November 2019: Implications for coastal management","interactions":[],"lastModifiedDate":"2023-10-03T12:25:53.266857","indexId":"70249272","displayToPublicDate":"2023-10-03T07:10:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2449,"text":"Journal of Sea Research","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring sediment transport pathways from an artificial nearshore berm, South Padre Island, Texas, USA, August 2018 to November 2019: Implications for coastal management","docAbstract":"

During August 2018 – November 2019, the transport pathways of dredge material from a specially constructed nearshore feeder berm were investigated as part of a collaborative study by the City of South Padre Island, U.S. Army Corps of Engineers–Galveston District, U.S. Geological Survey, Partrac GeoMarine Inc., and Texas A&M University, into the efficacy of beneficial use dredge material (BUDM) as a method of replenishing the beach profile and shoreface at South Padre Island, Texas with sediment. Dual-signature (fluorescent and ferrimagnetic) tracer particles, designed to be hydraulically equivalent to the dredge material, were placed on the berm, and a sampling program was initiated to monitor the spatiotemporal movement of tracer particles under the influence of the prevailing hydrodynamic regime. Wave and current data were collected and were used together with available metocean data to identify the forcing mechanisms of sediment transport; improved understanding garnered from the consideration of multiple datasets can be used to inform future coastal management decisions.

Tracer analysis results indicated low magnitude, shoreward transport of dredge material from the berm and along shore transport in both northerly and southerly directions. Small amounts of tracer detected in beach face samples demonstrated connectivity between the constructed feeder berm and the shoreface. However, the generally low tracer concentration within beach face samples indicated low rates of sediment transport for berm sediments, and a low magnitude sediment transport pathway from the berm directly to the beach face, with possible storage of sediment in the nearshore bar system.

Given that the berm was at or beyond the closure depth and considering the relatively weak prevailing near bottom hydrodynamic conditions, the potential for sediment to be mobilized and transported during the study period was generally low. Periods of higher energy waves, driven by north-northwest winds, were identified as a key driver of sediment transport but due to the infrequent nature of these events the sediment transport regime across the area of interest was temporally limited. Longshore movement of sediment was both north and south, mainly dependent on prevailing wind directions and resulting longshore currents.

We discuss implications for coastal zone management and the use of feeder berms as an artificial beach nourishment mechanism to replenish sediments lost by coastal erosional processes. The insight into nearshore emplacement of material can be used by local governments and coastal managers to optimize the efficacy of berm emplacement and implement such schemes as a cost-effective nourishment option, or when onshore placement of material is not feasible.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.seares.2023.102446","usgsCitation":"Ockerman, D., Schnoebelen, D.J., Poleykett, J., Friend, P.L., Maglio, C.K., and Boburka, K., 2023, Monitoring sediment transport pathways from an artificial nearshore berm, South Padre Island, Texas, USA, August 2018 to November 2019: Implications for coastal management: Journal of Sea Research, v. 196, 102446, 13 p., https://doi.org/10.1016/j.seares.2023.102446.","productDescription":"102446, 13 p.","temporalStart":"2018-08-01","temporalEnd":"2019-11-30","ipdsId":"IP-140436","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":441963,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.seares.2023.102446","text":"Publisher Index Page"},{"id":421533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","city":"South Padre","otherGeospatial":"South Padre Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.15750033182266,\n 26.065082960714562\n ],\n [\n -97.15459820637345,\n 26.072068995893133\n ],\n [\n -97.16018598744661,\n 26.10358900745102\n ],\n [\n -97.17395946423082,\n 26.20425562695638\n ],\n [\n -97.18633094575065,\n 26.274494940589918\n ],\n [\n -97.21085468291095,\n 26.375691325993444\n ],\n [\n -97.23653527144778,\n 26.461451228202293\n ],\n [\n -97.26632655206403,\n 26.549106833619234\n ],\n [\n -97.26668921551045,\n 26.56418079322158\n ],\n [\n -97.38294343939603,\n 26.55965190663082\n ],\n [\n -97.38303633646497,\n 26.552869348202293\n ],\n [\n -97.32628578301284,\n 26.55211652713973\n ],\n [\n -97.34468773607551,\n 26.536343965018474\n ],\n [\n -97.34177410281106,\n 26.51765795879149\n ],\n [\n 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Center","active":true,"usgs":true}],"preferred":true,"id":884955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poleykett, Jack","contributorId":272835,"corporation":false,"usgs":false,"family":"Poleykett","given":"Jack","email":"","affiliations":[{"id":56391,"text":"Partrec, Inc.","active":true,"usgs":false}],"preferred":false,"id":884956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friend, Patrick L.","contributorId":272633,"corporation":false,"usgs":false,"family":"Friend","given":"Patrick","email":"","middleInitial":"L.","affiliations":[{"id":56391,"text":"Partrec, Inc.","active":true,"usgs":false}],"preferred":false,"id":884957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maglio, Coraggio K.","contributorId":272632,"corporation":false,"usgs":false,"family":"Maglio","given":"Coraggio","email":"","middleInitial":"K.","affiliations":[{"id":56390,"text":"U.S. Army Corps of Engineers-Galveston District","active":true,"usgs":false}],"preferred":false,"id":884958,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boburka, Kristina","contributorId":272634,"corporation":false,"usgs":false,"family":"Boburka","given":"Kristina","email":"","affiliations":[{"id":56392,"text":"City of South Padre Island, Texas","active":true,"usgs":false}],"preferred":false,"id":884959,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250350,"text":"70250350 - 2023 - Predatory impacts of invasive Blue Catfish in an Atlantic coast estuary","interactions":[],"lastModifiedDate":"2023-12-05T12:46:37.592725","indexId":"70250350","displayToPublicDate":"2023-10-03T06:43:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Predatory impacts of invasive Blue Catfish in an Atlantic coast estuary","docAbstract":"

Objective

Predatory invasive fishes may consume species of management interest and alter food webs. Blue Catfish Ictalurus furcatus is a large-bodied, salinity-tolerant species that exhibits broad diet breadth and preys on species of both conservation concern and fisheries management interest. To better understand the ecological consequences of the establishment of Blue Catfish fisheries, estimates of predatory impacts are needed.

Methods

Using a Monte Carlo simulation, we integrated abundance estimates, diet information, and consumption-to-biomass ratios to estimate population-level Blue Catfish predation for a large Chesapeake Bay tributary along the mid-Atlantic coast of the United States, the James River.

Result

Population-level annual predation estimates by Blue Catfish exceeded 100 metric tons for several species or taxa of interest, including an estimated 400.7 metric tons (95% CI = 272.6–613.2) of blue crab Callinectes sapidus. Prey species abundances were unknown and thus limited opportunities to evaluate prey population responses. For instance, effects of Blue Catfish on blue crab populations remain unknown without tributary-specific estimates of blue crab abundance, but comparisons to landings data suggests that Blue Catfish predation on blue crab in the James River may be low compared with harvest.

Conclusion

Estimation of Blue Catfish predatory effects may inform development of management goals and objectives that balance diverse stakeholder interests. This work provides beneficial information to assess trade-offs of Blue Catfish fisheries and their effects on coastal aquatic resources.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10261","usgsCitation":"Hilling, C.D., Schmitt, J., Jiao, Y., and Orth, D., 2023, Predatory impacts of invasive Blue Catfish in an Atlantic coast estuary: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 15, no. 5, e10261, 14 p., https://doi.org/10.1002/mcf2.10261.","productDescription":"e10261, 14 p.","ipdsId":"IP-149753","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":441964,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10261","text":"Publisher Index Page"},{"id":423232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.45655387490967,\n 36.550631310388894\n ],\n [\n -75.45655387490967,\n 38.29548758624807\n ],\n [\n -77.87354606241009,\n 38.29548758624807\n ],\n [\n -77.87354606241009,\n 36.550631310388894\n ],\n [\n -75.45655387490967,\n 36.550631310388894\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Hilling, Corbin David 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":298946,"corporation":false,"usgs":true,"family":"Hilling","given":"Corbin","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":889520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":889521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jiao, Yan","contributorId":204633,"corporation":false,"usgs":false,"family":"Jiao","given":"Yan","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":889522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orth, Donald J.","contributorId":279468,"corporation":false,"usgs":false,"family":"Orth","given":"Donald J.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":889523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249467,"text":"70249467 - 2023 - Interactions among rainfall, fire, forbs and non-native grasses predict occupancy dynamics for the endangered Pacific pocket mouse (Perognathus longimembris pacificus) in a Mediterranean-type ecosystem","interactions":[],"lastModifiedDate":"2023-10-10T11:13:44.814632","indexId":"70249467","displayToPublicDate":"2023-10-03T06:11:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Interactions among rainfall, fire, forbs and non-native grasses predict occupancy dynamics for the endangered Pacific pocket mouse (Perognathus longimembris pacificus) in a Mediterranean-type ecosystem","docAbstract":"

It is important to understand species-habitat relationships to implement effective adaptive management for rare species. However, it can be challenging to assess habitat associations and their relationships to abiotic stressors in dynamic habitats without the insights that can be gained from long-term monitoring. We report results from the first six years of extensive track tube monitoring of the largest two of three remaining extant populations of federally endangered Pacific pocket mouse (Perognathus longimembris pacificus) in a coastal Mediterranean-type ecosystem on Marine Corps Base, Camp Pendleton in southern California, USA. We used dynamic occupancy and structural equation modeling to assess potential drivers of population trends that included habitat, fire history, rainfall, disturbance, and the presence of other small mammals. We found that the variables that best predicted mouse occupancy were moderate to high forb and perennial herb cover (40–80%), and moderate to high open ground (20–70%) and low non-native grass cover (<20%), Non-native grass cover (>20%) was also a strong predictor of lower PPM colonization and increased extinction probabilities, with the extent of non-native grass cover being strongly influenced by annual rainfall and recency of fire. Our study adds to the growing literature on effects of invasive annual grasses on native species in Mediterranean-type ecosystems. We suggest that habitat management could be based upon promotion of open forb and perennial herb dominated habitats with reduction of non-native grasses by prescribed fire and other methods. These types of spatial and temporal monitoring programs can support land managers by creating a monitoring and management feedback loop. They can reveal landscape and environmental variables associated with species persistence, inform habitat management goals, and help managers to assess the success of management actions on populations of conservation concern.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2023.e02640","usgsCitation":"Brehme, C.S., Thomsen, S.K., Adsit-Morris, D.T., and Fisher, R., 2023, Interactions among rainfall, fire, forbs and non-native grasses predict occupancy dynamics for the endangered Pacific pocket mouse (Perognathus longimembris pacificus) in a Mediterranean-type ecosystem: Global Ecology and Conservation, v. 47, e02640, 11 p., https://doi.org/10.1016/j.gecco.2023.e02640.","productDescription":"e02640, 11 p.","ipdsId":"IP-157965","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":441967,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2023.e02640","text":"Publisher Index Page"},{"id":421800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.06504843003921,\n 33.74154963420098\n ],\n [\n -118.06504843003921,\n 33.118079419114224\n ],\n [\n -116.63957235582048,\n 33.118079419114224\n ],\n [\n -116.63957235582048,\n 33.74154963420098\n ],\n [\n -118.06504843003921,\n 33.74154963420098\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomsen, Sarah Kay 0000-0001-5964-7536","orcid":"https://orcid.org/0000-0001-5964-7536","contributorId":330754,"corporation":false,"usgs":true,"family":"Thomsen","given":"Sarah","email":"","middleInitial":"Kay","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adsit-Morris, Devin T. 0000-0002-8764-6749 dadsit-morris@usgs.gov","orcid":"https://orcid.org/0000-0002-8764-6749","contributorId":219905,"corporation":false,"usgs":true,"family":"Adsit-Morris","given":"Devin","email":"dadsit-morris@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":885801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885802,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70260128,"text":"70260128 - 2023 - Back-azimuth estimation of air-to-ground coupled infrasound from transverse coherence minimization","interactions":[],"lastModifiedDate":"2024-10-30T21:59:27.117416","indexId":"70260128","displayToPublicDate":"2023-10-02T09:37:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Back-azimuth estimation of air-to-ground coupled infrasound from transverse coherence minimization","docAbstract":"

We present the transverse coherence minimization method (TCM)—an approach to estimate the back-azimuth of infrasound signals that are recorded on an infrasound microphone and a colocated three-component seismometer. Accurate back-azimuth information is important for a variety of monitoring efforts, but it is currently only available for infrasound arrays and for seismoacoustic sensor pairs separated by 10 s of meters. Our TCM method allows for the analysis of colocated sensor pairs, sensors located within a few meters of each other, which may extend the capabilities of existing seismoacoustic networks and supplement operating infrasound arrays. This approach minimizes the coherence of the transverse component of seismic displacement with the infrasound wave to estimate the infrasound back-azimuth. After developing an analytical model, we investigate seismoacoustic signals from the August 2012 Humming Roadrunner experiment and the 26 May 2021 eruption of Great Sitkin Volcano, Alaska, U.S.A., at the ranges of 6.5–185 km from the source. We discuss back-azimuth estimates and potential sources of deviation (1°–15°), such as local terrain effects or deviation from common analytical models. This practical method complements existing seismoacoustic tools and may be suitable for routine application to signals of interest.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230023","usgsCitation":"Bishop, J., Haney, M.M., Fee, D., Matoza, R., McKee, K., and Lyons, J.J., 2023, Back-azimuth estimation of air-to-ground coupled infrasound from transverse coherence minimization: The Seismic Record, v. 3, no. 4, p. 249-258, https://doi.org/10.1785/0320230023.","productDescription":"10 p.","startPage":"249","endPage":"258","ipdsId":"IP-155599","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467088,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230023","text":"Publisher Index Page"},{"id":463340,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Bishop, Jordan","contributorId":345610,"corporation":false,"usgs":false,"family":"Bishop","given":"Jordan","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":917095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":917096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fee, David","contributorId":345611,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[{"id":82656,"text":"Alaska Volcano Observatory/UAFGI","active":true,"usgs":false}],"preferred":false,"id":917097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matoza, Robin","contributorId":345612,"corporation":false,"usgs":false,"family":"Matoza","given":"Robin","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":917098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKee, Kathleen","contributorId":345613,"corporation":false,"usgs":false,"family":"McKee","given":"Kathleen","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":917099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917100,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70249514,"text":"70249514 - 2023 - Sound and sturgeon: Bioacoustics and anthropogenic sound","interactions":[],"lastModifiedDate":"2023-10-12T14:18:12.968347","indexId":"70249514","displayToPublicDate":"2023-10-02T09:16:30","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17057,"text":"The Journal of the Acoustical Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Sound and sturgeon: Bioacoustics and anthropogenic sound","docAbstract":"

Sturgeons are basal bony fishes, most species of which are considered threatened and/or endangered. Like all fishes, sturgeons use hearing to learn about their environment and perhaps communicate with conspecifics, as in mating. Thus, anything that impacts the ability of sturgeon to hear biologically important sounds could impact fitness and survival of individuals and populations. There is growing concern that the sounds produced by human activities (anthropogenic sound), such as from shipping, commercial barge navigation on rivers, offshore windfarms, and oil and gas exploration, could impact hearing by aquatic organisms. Thus, it is critical to understand how sturgeon hear, what they hear, and how they use sound. Such data are needed to set regulatory criteria for anthropogenic sound to protect these animals. However, very little is known about sturgeon behavioral responses to sound and their use of sound. To help understand the issues related to sturgeon and anthropogenic sound, this review first examines what is known about sturgeon bioacoustics. It then considers the potential effects of anthropogenic sound on sturgeon and, finally identifies areas of research that could substantially improve knowledge of sturgeon bioacoustics and effects of anthropogenic sound. Filling these gaps will help regulators establish appropriate protection for sturgeon.

","language":"English","publisher":"Acoustical Society of America","doi":"10.1121/10.0021166","usgsCitation":"Popper, A.N., and Calfee, R.D., 2023, Sound and sturgeon: Bioacoustics and anthropogenic sound: The Journal of the Acoustical Society of America, v. 154, no. 4, p. 2021-2035, https://doi.org/10.1121/10.0021166.","productDescription":"15 p.","startPage":"2021","endPage":"2035","ipdsId":"IP-151832","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":441969,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1121/10.0021166","text":"Publisher Index Page"},{"id":421890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"154","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Popper, Arthur N.","contributorId":175351,"corporation":false,"usgs":false,"family":"Popper","given":"Arthur","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":886048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calfee, Robin D. 0000-0001-6056-7023 rcalfee@usgs.gov","orcid":"https://orcid.org/0000-0001-6056-7023","contributorId":1841,"corporation":false,"usgs":true,"family":"Calfee","given":"Robin","email":"rcalfee@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":886049,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70249641,"text":"70249641 - 2023 - One byte at a time: Gathering best practices, guidelines, and resources for data standards to support ocean exploration and characterization","interactions":[],"lastModifiedDate":"2023-10-21T13:55:28.538625","indexId":"70249641","displayToPublicDate":"2023-10-02T08:54:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"One byte at a time: Gathering best practices, guidelines, and resources for data standards to support ocean exploration and characterization","docAbstract":"

Initiated through Presidential direction and now codified, the National Ocean Mapping, Exploration, and Characterization (NOMEC) Council comprises leaders from U.S. federal agencies with a shared goal of mapping all waters of the United States and exploring and characterizing priority areas. The NOMEC Council’s two Interagency Working Groups, Ocean and Coastal Mapping (IWG-OCM) and Ocean Exploration and Characterization (IWG-OEC), both achieved major milestones recently with the 2023 release of the Draft Standard Ocean Mapping Protocols (SOMP) and the 2022 publication of the National Priorities for Ocean Exploration and Characterization. Building on this groundwork, the IWG-OEC is now looking to define and share best practices, guidelines, and resources for ocean exploration and characterization with the long-term goal of increasing community wide standardization to help achieve consistent common practices. First, the IWG-OEC plans to compile federal agency resources and share them in a newly developed online resource repository. The next phase is for the IWG-OEC to create opportunities for non-federal sectors to provide input on developing and populating this repository with additional content (existing standards and protocols, best practice and guidelines documents, etc.). After experts representing multiple sectors are identified, a series of results-oriented workshops are planned to provide input on all aspects of the data, products, and services from exploration and characterization. Finally, the IWG-OEC plans to widely share the online repository of best practices and standard operating procedures. A systematic, transparent, and collaborative process to share standards and protocols can help to enhance the interoperability of data and inform new lines of inquiry, discovery, research, and innovation.

","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2023.1250245","usgsCitation":"Cantwell, K., Demopoulos, A., Hebner, M.G., Medley, R., Mueller, M., and Netburn, A.N., 2023, One byte at a time: Gathering best practices, guidelines, and resources for data standards to support ocean exploration and characterization: Frontiers in Marine Science, v. 10, 1250245, 6 p., https://doi.org/10.3389/fmars.2023.1250245.","productDescription":"1250245, 6 p.","ipdsId":"IP-155064","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":441972,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2023.1250245","text":"Publisher Index Page"},{"id":422037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2023-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Cantwell, Kasey","contributorId":218768,"corporation":false,"usgs":false,"family":"Cantwell","given":"Kasey","email":"","affiliations":[{"id":39906,"text":"NOAA Office of Exploration and Research, Silver Spring, MD","active":true,"usgs":false}],"preferred":false,"id":886558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":222192,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":886559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hebner, Mitchell G.","contributorId":331032,"corporation":false,"usgs":false,"family":"Hebner","given":"Mitchell","email":"","middleInitial":"G.","affiliations":[{"id":79093,"text":"National Oceanic and Atmospheric Administration, Office of Ocean Exploration and Research","active":true,"usgs":false}],"preferred":false,"id":886560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Medley, Rachel","contributorId":331033,"corporation":false,"usgs":false,"family":"Medley","given":"Rachel","email":"","affiliations":[{"id":79093,"text":"National Oceanic and Atmospheric Administration, Office of Ocean Exploration and Research","active":true,"usgs":false}],"preferred":false,"id":886561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mueller, Mark","contributorId":331034,"corporation":false,"usgs":false,"family":"Mueller","given":"Mark","email":"","affiliations":[{"id":79094,"text":"Bureau of Ocean Energy Management, Office of Environmental Programs","active":true,"usgs":false}],"preferred":false,"id":886562,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Netburn, Amanda N.","contributorId":331035,"corporation":false,"usgs":false,"family":"Netburn","given":"Amanda","email":"","middleInitial":"N.","affiliations":[{"id":79093,"text":"National Oceanic and Atmospheric Administration, Office of Ocean Exploration and Research","active":true,"usgs":false}],"preferred":false,"id":886563,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70249323,"text":"70249323 - 2023 - Differing field methods and site conditions lead to varying bias in suspended sediment concentrations in the Lower Mississippi and Atchafalaya Rivers","interactions":[],"lastModifiedDate":"2023-10-06T13:51:06.518544","indexId":"70249323","displayToPublicDate":"2023-10-02T07:22:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Differing field methods and site conditions lead to varying bias in suspended sediment concentrations in the Lower Mississippi and Atchafalaya Rivers","docAbstract":"

At sites that have been sampled for decades, changes in field and laboratory methods happen over time as instrumentation and protocols improve. Here, we compare the influence of depth- and point-integrated sampling on total, fine (< 0.0625 mm), and coarse (≥ 0.0625 mm) suspended sediment (SS) concentrations in the Lower Mississippi and Atchafalaya Rivers. Using historical field method information, we identified seven sites to test such differences. We found SS samples collected using point-integration tended to have higher concentrations than those collected using depth-integration. However, the presence and magnitude of the bias were inconsistent across sites. Bias was present at the site with less-than-ideal conditions (i.e., non-trapezoidal channel, non-uniform flow) and non-existent at the ideal site location, indicating the bias between sampling methods depends on site sampling conditions. When present, the bias is greater at higher concentrations and at moderate to high flows. At the less-than-ideal site, point-integrated samples can have 16% (total) and 34% (coarse) higher concentrations than depth-integrated samples. When flow effects are removed, this translates to a bias of 19, 9, and 8 mg per liter for total, fine, and coarse SS. When a change in field methods occurs, comparison samples and a rigorous evaluation of those samples are warranted to determine the proper course of action for a particular site. Often, the effect and solution will not be known until several years of comparison samples have been collected under a variety of hydrologic conditions.

","language":"English","publisher":"Springer","doi":"10.1007/s10661-023-11836-z","usgsCitation":"Murphy, J.C., Schafer, L.A., and Mize, S., 2023, Differing field methods and site conditions lead to varying bias in suspended sediment concentrations in the Lower Mississippi and Atchafalaya Rivers: Environmental Monitoring and Assessment, v. 195, 1260, 25 p., https://doi.org/10.1007/s10661-023-11836-z.","productDescription":"1260, 25 p.","ipdsId":"IP-153025","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":441974,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-023-11836-z","text":"Publisher Index Page"},{"id":421732,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YK3S9R","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Datasets of Suspended Sediment Concentration and Percent Fines (1973–2021), Sampling Information (1973–2021), and Daily Streamflow (1928–2021) for Sites in the Lower Mississippi and Atchafalaya Rivers to Support Analyses of Sediment Transport and Delivery"},{"id":421586,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Lower Mississippi River, Atchafalaya River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.97441686010539,\n 31.320100838989433\n ],\n [\n -91.97441686010539,\n 30.36743560234777\n ],\n [\n -91.08452428197994,\n 30.36743560234777\n ],\n [\n -91.08452428197994,\n 31.320100838989433\n ],\n [\n -91.97441686010539,\n 31.320100838989433\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"195","noUsgsAuthors":false,"publicationDate":"2023-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":885177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schafer, Lindsey Ayn 0000-0001-7074-0619","orcid":"https://orcid.org/0000-0001-7074-0619","contributorId":290229,"corporation":false,"usgs":true,"family":"Schafer","given":"Lindsey","email":"","middleInitial":"Ayn","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":885178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mize, Scott 0000-0001-6751-5568","orcid":"https://orcid.org/0000-0001-6751-5568","contributorId":218508,"corporation":false,"usgs":true,"family":"Mize","given":"Scott","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":885179,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}