Eye loss has been a long-standing interest in evolutionary biology. Many organisms that inhabit environments without light penetration, for example the deep sea, exhibit eye loss and thus become blind. However, water-depth distribution of eyes in marine organisms is poorly understood. Ostracods are widely distributed crustaceans, and many sighted marine ostracods have eye tubercles (lenses) on their shells. Since eye tubercles are visible on the shells illustrated in much literature, it is easy to determine their presence or absence via a literature survey. Here, we used a large Arctic-wide ostracod census dataset (Arctic Ostracode Database) to calculate the eye index (the percentage of species with eyes), and compare them with water depth and light availability. As water depth increases, eye index values decrease and become constantly zero in water deeper than 1000 m. Similar decline of sighted species with increasing depth is also known in isopods and amphipods, suggesting that it may be common in other crustaceans and perhaps in deep-sea organisms in general. We also show that eye index values increase as light availability increases. This study is the first to quantify how distributions of sighted and blind species change with light availability, giving baseline information on vision in the deep sea.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.12584","usgsCitation":"Zhang, J., Yasuhara, M., Wei, C., Tian, S.Y., Aye, K.K., Gemery, L., Cronin, T.M., Frenzel, P., and Horne, D.J., 2024, Sight and blindness: The relationship between ostracod eyes, water depth, and light availability in the Arctic Ocean: Limnology and Oceanography, v. 69, no. 6, p. 1418-1428, https://doi.org/10.1002/lno.12584.","productDescription":"11 p.","startPage":"1418","endPage":"1428","ipdsId":"IP-159915","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":439590,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.12584","text":"Publisher Index Page"},{"id":428845,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Jingwen","contributorId":336196,"corporation":false,"usgs":false,"family":"Zhang","given":"Jingwen","email":"","affiliations":[{"id":55550,"text":"University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":900116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yasuhara, Moriaki","contributorId":178705,"corporation":false,"usgs":false,"family":"Yasuhara","given":"Moriaki","email":"","affiliations":[],"preferred":false,"id":900117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wei, Chih-Lin","contributorId":336198,"corporation":false,"usgs":false,"family":"Wei","given":"Chih-Lin","email":"","affiliations":[{"id":55550,"text":"University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":900118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tian, Skye Yunshu","contributorId":336200,"corporation":false,"usgs":false,"family":"Tian","given":"Skye","email":"","middleInitial":"Yunshu","affiliations":[{"id":55550,"text":"University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":900119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aye, Kyawt K. T.","contributorId":336202,"corporation":false,"usgs":false,"family":"Aye","given":"Kyawt","email":"","middleInitial":"K. T.","affiliations":[{"id":55550,"text":"University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":900120,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gemery, Laura 0000-0003-1966-8732","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":245413,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":900121,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cronin, Thomas M. 0000-0001-9522-3992 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-9522-3992","contributorId":304640,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":900122,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Frenzel, Peter","contributorId":336790,"corporation":false,"usgs":false,"family":"Frenzel","given":"Peter","affiliations":[],"preferred":false,"id":901050,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Horne, David J.","contributorId":113597,"corporation":false,"usgs":true,"family":"Horne","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":901051,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70266507,"text":"70266507 - 2024 - On the survival and habitat use of hatchery-reared cisco (Coregonus artedi) in Lake Erie","interactions":[],"lastModifiedDate":"2025-05-09T15:12:50.835095","indexId":"70266507","displayToPublicDate":"2024-05-15T10:02:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"On the survival and habitat use of hatchery-reared cisco (Coregonus artedi) in Lake Erie","title":"On the survival and habitat use of hatchery-reared cisco (Coregonus artedi) in Lake Erie","docAbstract":"Cisco (Coregonus artedi) have been extirpated from Lake Erie in North America since the 1960s, but they once supported one of the largest Laurentian Great Lakes fisheries. Numerous potential impediments to rehabilitation have been identified, including summer habitat refugia and predation. We used acoustic telemetry to investigate the thermal habitat use and survival of hatchery-reared adult cisco in Lake Erie. Fish were experimentally released (n = 50 per site) offshore at Dunkirk, New York, in the eastern basin and Huron, Ohio, in the central basin. Cisco in both basins found suitable summer oxythermal habitat in the metalimnion, suggesting that coldwater habitat availability is likely not an impediment for reestablishment. However, track end dates or predation dates were distributed across only four months with the last detection at 155 days. Predation sensors combined with temperature values during digestion indicated different potential predators: lake trout (Salvelinus namaycush) for the Dunkirk group and walleye (Sander vitreus) for the Huron group. Additionally, digestion temperatures of two tags indicated bird predation was also important, likely underestimated and suggested substantial use of the epilimnion by tagged fish. The results highlight the need for additional studies to address stocking optimization questions in support of future reintroduction experiments and related cisco conservation efforts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102343","usgsCitation":"Kraus, R., Markham, J., Robinson, J., MacDougall, T., Faust, M., Schmitt, J., Vandergoot, C., McKenna, J., and Gorsky, D., 2024, On the survival and habitat use of hatchery-reared cisco (Coregonus artedi) in Lake Erie: Journal of Great Lakes Research, v. 50, 102343, 8 p., https://doi.org/10.1016/j.jglr.2024.102343.","productDescription":"102343, 8 p.","ipdsId":"IP-159579","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":488295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102343","text":"Publisher Index Page"},{"id":485649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.90437674926393,\n 42.88573072124271\n ],\n [\n -79.52141499356523,\n 42.87769210959476\n ],\n [\n -80.22678399206747,\n 42.79281581499302\n ],\n [\n -80.51880625151767,\n 42.57814946253396\n ],\n [\n -81.02026663661093,\n 42.67543230196293\n ],\n [\n -81.30128454543694,\n 42.67543535756306\n ],\n [\n -81.53822853578485,\n 42.56596464399709\n ],\n [\n -81.9019334399238,\n 42.33014170165541\n ],\n [\n -81.95153424579222,\n 42.26492779780335\n ],\n [\n -82.12236039987853,\n 42.236375180224144\n ],\n [\n -82.45298532777961,\n 42.08524033767702\n ],\n [\n -82.5191058069868,\n 41.92964634487325\n ],\n [\n -82.61828632462084,\n 42.04024072452731\n ],\n [\n -82.91034362126736,\n 41.987015817617134\n ],\n [\n -83.11972864041921,\n 42.077062926530004\n ],\n [\n -83.10317152070901,\n 42.24453450962994\n ],\n [\n -83.29610139408294,\n 41.9419412108324\n ],\n [\n -83.3622121286252,\n 41.92964573816295\n ],\n [\n -83.51644448225035,\n 41.69555451568095\n ],\n [\n -82.9488535420495,\n 41.41103910261083\n ],\n [\n -82.71193183972241,\n 41.41929329585025\n ],\n [\n -82.47491670465367,\n 41.35733064230888\n ],\n [\n -81.99008606791249,\n 41.477110666960954\n ],\n [\n -81.70899983775189,\n 41.46067864477564\n ],\n [\n -81.25720217469238,\n 41.736707291689584\n ],\n [\n -80.6842102922714,\n 41.88460348122109\n ],\n [\n -79.96258495960994,\n 42.16700280222196\n ],\n [\n -79.42295622097835,\n 42.38302164176207\n ],\n [\n -79.37861904307078,\n 42.4440510296389\n ],\n [\n -79.15795348814065,\n 42.52534601120243\n ],\n [\n -79.00930804606551,\n 42.69563463834368\n ],\n [\n -78.83853732874603,\n 42.76038448982763\n ],\n [\n -78.84931646792415,\n 42.86956831700121\n ],\n [\n -78.90437674926393,\n 42.88573072124271\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","noUsgsAuthors":false,"publicationDate":"2024-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":936397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markham, James","contributorId":354791,"corporation":false,"usgs":false,"family":"Markham","given":"James","affiliations":[{"id":84661,"text":"New York State Dept. of Env. 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Res. and Forestry","active":true,"usgs":false}],"preferred":false,"id":936400,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faust, Matthew","contributorId":268770,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":936401,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":936402,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vandergoot, Christopher","contributorId":340837,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":936403,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":190798,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":936404,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gorsky, Dimitri","contributorId":354793,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitri","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":936405,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70255975,"text":"70255975 - 2024 - Atlas of microscopic images of biochar using reflected light microscopy in biochar characterization","interactions":[],"lastModifiedDate":"2024-07-11T13:27:32.525256","indexId":"70255975","displayToPublicDate":"2024-05-15T08:21:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18004,"text":"Indiana Journal of Earth Sciences","onlineIssn":"2642-1550","active":true,"publicationSubtype":{"id":10}},"title":"Atlas of microscopic images of biochar using reflected light microscopy in biochar characterization","docAbstract":"Derived through the thermochemical conversion of biomass, biochar is a carbon-rich substance recognized for its significance in environmental applications and sustainable agriculture. As interest in its utilization continues to rise, it becomes crucial to comprehend how the source material and pyrolysis parameters influence the properties of biochar and, consequently, to research the suitability of various analytical methods for characterizing it. Despite the current utilization of numerous physical and chemical methods, the untapped potential of reflected light microscopy warrants further exploration.
While a few recent studies suggest a correlation between certain microscopic characteristics and selected physical and chemical properties of biochar, the data are limited and difficult to compare. This is primarily due to variations in the types of original biomass used and lack of information about pyrolysis conditions. Moreover, because only a limited number of photographs taken under a reflected light microscope are publicly available to-date, it is difficult to evaluate morphological differences between various biochars and other organic materials such as inertinites from coal, charcoal, etc.
To address limited availability of publicly available data, this “Atlas of Microscopic Images of Biochar” presents a collection of more than 300 images contributed by researchers from Poland, the United States, Canada, Australia, Brazil, and Denmark. These photomicrographs capture optical characteristics of a diverse array of biochar, demonstrating its unique morphological and structural features. This visual documentation can serve as a valuable resource for researchers, industry professionals, educators, and enthusiasts interested in investigating the complexities of biochar forms.
","language":"English","publisher":"Indiana Geological and Water Survey at Indiana University","doi":"10.14434/ijes.v6i1.37623","usgsCitation":"Drobniak, A., Mastalerz, M., Knauth, W., Adarkani, O., dos Santos, T.A., de Faria, V.C., Congo, T., Hackley, P.C., Hatcherian, J.J., Hower, J.C., Petersen, H.I., Reyes, J., and Sanei, H., 2024, Atlas of microscopic images of biochar using reflected light microscopy in biochar characterization: Indiana Journal of Earth Sciences, v. 6, 9 p., https://doi.org/10.14434/ijes.v6i1.37623.","productDescription":"9 p.","ipdsId":"IP-162580","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":439591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14434/ijes.v6i1.37623","text":"Publisher Index Page"},{"id":430954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2024-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Drobniak, Agnieszka","contributorId":330811,"corporation":false,"usgs":false,"family":"Drobniak","given":"Agnieszka","affiliations":[{"id":79025,"text":"University of Silesia in Katowice, Faculty of Natural Sciences, ul. Będzińska 60, 41-200 Sosnowiec, Poland","active":true,"usgs":false}],"preferred":false,"id":906217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastalerz, Maria","contributorId":330812,"corporation":false,"usgs":false,"family":"Mastalerz","given":"Maria","affiliations":[{"id":79026,"text":"Indiana University, Indiana Geological and Water Survey, 1001 E. 10th St., Bloomington, IN 47405, United States","active":true,"usgs":false}],"preferred":false,"id":906218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knauth, Will","contributorId":340115,"corporation":false,"usgs":false,"family":"Knauth","given":"Will","email":"","affiliations":[{"id":81483,"text":"Centre for Biomass Energy Research and Education, University of Silesia in Katowice","active":true,"usgs":false}],"preferred":false,"id":906219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adarkani, Omid","contributorId":340116,"corporation":false,"usgs":false,"family":"Adarkani","given":"Omid","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":906220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"dos Santos, Telma Ataide","contributorId":340117,"corporation":false,"usgs":false,"family":"dos Santos","given":"Telma","email":"","middleInitial":"Ataide","affiliations":[{"id":81486,"text":"TAS Petrographic Consulting & Auditing","active":true,"usgs":false}],"preferred":false,"id":906221,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"de Faria, Valdeci Caio","contributorId":340118,"corporation":false,"usgs":false,"family":"de Faria","given":"Valdeci","email":"","middleInitial":"Caio","affiliations":[{"id":81487,"text":"Gerdau Ouro Branco","active":true,"usgs":false}],"preferred":false,"id":906222,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Congo, Tara","contributorId":330818,"corporation":false,"usgs":false,"family":"Congo","given":"Tara","email":"","affiliations":[{"id":79031,"text":"The University of Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":906223,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":906224,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":906225,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hower, James C.","contributorId":330827,"corporation":false,"usgs":false,"family":"Hower","given":"James","email":"","middleInitial":"C.","affiliations":[{"id":79038,"text":"University of Kentucky Center for Applied Energy Research, USA","active":true,"usgs":false}],"preferred":false,"id":906226,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Petersen, Henrik I.","contributorId":330843,"corporation":false,"usgs":false,"family":"Petersen","given":"Henrik","email":"","middleInitial":"I.","affiliations":[{"id":79049,"text":"Geological Survey of Denmark and Greenland, Denmark","active":true,"usgs":false}],"preferred":false,"id":906227,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reyes, Julito","contributorId":330844,"corporation":false,"usgs":false,"family":"Reyes","given":"Julito","affiliations":[{"id":79030,"text":"Geological Survey of Canada-Calgary","active":true,"usgs":false}],"preferred":false,"id":906228,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sanei, Hamed","contributorId":168753,"corporation":false,"usgs":false,"family":"Sanei","given":"Hamed","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":906229,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70256186,"text":"70256186 - 2024 - Species richness and distribution of Sphaeriidae surveyed with Environmental DNA metabarcoding","interactions":[],"lastModifiedDate":"2024-07-25T12:26:53.798491","indexId":"70256186","displayToPublicDate":"2024-05-15T07:26:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Species richness and distribution of Sphaeriidae surveyed with Environmental DNA metabarcoding","docAbstract":"Freshwater bivalves of the family Sphaeriidae (fingernail, pea, and pill clams) are difficult to survey and identify due to their small size and overlapping morphological traits. Environmental DNA (eDNA) metabarcoding offers a cost-effective method for assessing species richness and distributional patterns at large scales. We evaluated sphaeriid species richness and distribution at 15 sites in the Maumee River, Ohio, USA, based on two eDNA metabarcoding assays (broad and targeted), and we compared our results with those from a traditional benthic macroinvertebrate survey. We detected seven molecular operational taxonomic units (MOTUs) in the Maumee River, including Sphaerium transversum, five MOTUs representing Euglesa spp., and one MOTU representing Odhneripisidum sp. Sphaerium transversum was widely distributed, occurring at 10 sites, but Euglesa and Odhneripisidum were restricted to one to four sites in the upper river. Distributional patterns were broadly similar between both metabarcoding assays and benthic surveys. However, eDNA metabarcoding provided species-level identifications, resulting in higher species richness. Environmental DNA sampling augments and enhances traditional benthic surveys, but greater eDNA sample replication is needed to improve detection, and additional sphaeriid reference sequences are needed to improve species-level identification.
The mission of Northern Prairie Wildlife Research Center is to provide scientific information needed to conserve and manage the Nation’s natural capital for current and future generations, with an emphasis on migratory birds, Department of the Interior trust resources, and ecosystems of the Nation’s interior. This report provides an overview of the studies conducted at Northern Prairie during fiscal years 2021–23 in pursuit of this mission. Studies are organized under a framework developed by the U.S. Geological Survey Ecosystems Mission Area, identifying primary and secondary alignment with focal areas of research, and summarizing recent scientific products resulting from these studies. Partnerships with Federal, State, and non-Governmental organizations are essential to a robust program of applied ecological research, and we thank our many collaborators and colleagues whose contributions made this work possible.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1512","usgsCitation":"Sherfy, M.H., ed., 2024, U.S. Geological Survey—Northern Prairie Wildlife Research Center 2021–23 research activity report: U.S. Geological Survey Circular 1512, 96 p., https://doi.org/10.3133/cir1512.","productDescription":"xi, 96 p.","numberOfPages":"112","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-135399","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":428702,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1512/coverthb.jpg"},{"id":428703,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1512/cir1512.pdf","text":"Report","size":"34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Cir 1512"},{"id":428704,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1512/cir1512.XML"}],"contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401
In 2012, a platform at the approximate center of Lake Okeechobee in central Florida was instrumented to continuously measure evaporation with the Bowen-ratio energy-budget method as part of a long-term partnership between the South Florida Water Management District and the U.S. Geological Survey. The primary goal for the study was to quantify daily rates of open-water evaporation. A secondary goal was to assess differences in evaporation rates among alternate methods and determine if instrumentation and operational expenses associated with the Bowen-ratio method could be reduced.
Mean annual evaporation from Lake Okeechobee for 2013–16 was about 1,825 millimeters per year. Annual evaporation from 2013 to 2016 was 1,760, 1,840, 1,810, and 1,890 millimeters per year, respectively. These evaporation rates are among the highest rates observed in Florida based on scientifically vetted methods such as evaporation pans, lysimeters, eddy-covariance, or Bowen-ratio methods. The high evaporation rates are largely a result of frequent clear-sky conditions over the interior of Lake Okeechobee, which allows solar radiation to reach the water surface and drive open-water evaporation. Cloud formation over the interior of Lake Okeechobee is suppressed because of a relatively large heat capacity for water that buffers convective fluxes of air that form clouds while rising and cooling.
Estimated evaporation rates obtained using five alternative methods were compared to measured Bowen-ratio energy-budget daily, monthly, and annual evaporation: the Penman, Priestly-Taylor, Mass-Transfer, Simple, and Turc equations. All five methods performed relatively well (within 10 percent of the Bowen ratio annual totals). The Penman, Priestley-Taylor, and Mass-Transfer methods captured relatively large evaporation rates that occurred in the winter due to cold fronts, because these methods account for large wind speeds and vapor pressure deficits associated with the regional cold fronts. For operational implementation, the Simple, Mass-Transfer, or Turc methods are likely preferable because of their simplicity, limited data requirements, and improved accuracy for computing monthly and annual evaporation totals. The Turc equation computed monthly evaporation within 8 percent of the Bowen-ratio method, while requiring only air temperature and solar radiation data. The Simple equation achieved similar accuracy while requiring only solar radiation data.
Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Groundwater quality in the western part of the Mojave Desert in San Bernardino County, California, was investigated in 2018 as part of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment Program Priority Basin Project. The Mojave Basin Domestic-Supply Aquifer study unit (MOBS) region was divided into two study areas—floodplain and regional—to assess differences between the two major aquifers used for drinking water supply in the area. This assessment characterized the quality of ambient groundwater and not the quality of treated drinking water.
The study included three components: (1) a status assessment, which characterized the quality of groundwater resources used for domestic drinking-water supply in the floodplain and regional study areas; (2) a brief understanding assessment, which evaluated factors that could potentially affect the quality of groundwater used by domestic wells in the region; and (3) a comparative assessment between the groundwater resources used by domestic wells and public-supply wells in the two study areas. The domestic-well assessment was based on data collected by the U.S. Geological Survey from 48 domestic wells in January–May 2018. The public-supply assessment was based on data for samples from 322 public-supply wells in 2008–18, either collected by the U.S. Geological Survey or compiled from the California State Water Resources Control Boards Division of Drinking Water publicly available database.
Concentrations of water-quality constituents in ambient groundwater were compared to regulatory and non-regulatory benchmarks typically used by the State of California and Federal agencies as health-based or aesthetic standards for public drinking water. Relative concentrations, defined as the measured concentration divided by the benchmark concentration, were classified as high (greater than 1.0), moderate (greater than 0.5 for inorganic constituents or 0.1 for organic and special-interest constituents, and not high), or low (concentrations lower than moderate). The floodplain and regional study areas were divided into 15 and 35 grid cells, respectively, and grid-based methods were used to compute the areal proportions of the two study areas with high, moderate, or low relative concentrations of individual constituents and classes of constituents.
For the domestic-supply assessment, one or more inorganic constituents with health-based benchmarks were detected at high relative concentrations in 58 percent of the regional study area and 13 percent of the floodplain study area. The inorganic constituents with health-based benchmarks detected at high relative concentrations in the regional study area were arsenic, chromium and hexavalent chromium, fluoride, adjusted gross alpha particle activity, uranium, molybdenum, strontium, and nitrate; only arsenic was detected at high relative concentrations in the floodplain study area. One or more inorganic constituents with secondary maximum contaminant level benchmarks were detected at high concentrations in 15 and 6.7 percent of the regional and floodplain study areas, respectively. The constituents detected at high relative concentrations in the regional study area were total dissolved solids, chloride, sulfate, and iron; only total dissolved solids and sulfate were detected at high relative concentrations in the floodplain study area.
Organic constituents were not detected at moderate or high relative concentrations in either the regional or floodplain study areas. Volatile organic compounds were detected at low relative concentrations in 21 and 27 percent of the regional and floodplain study areas, respectively, and pesticides were detected at low relative concentrations in 9.1 and 20 percent of the regional and floodplain study areas, respectively. The only individual organic constituent detected in more than 10 percent of either study area was the trihalomethane trichloromethane. Total coliform bacteria were detected in 15 and 27 percent of the grid wells in the regional and floodplain study areas, respectively.
The greater prevalence of high relative concentrations of many inorganic constituents in the regional study area compared to the floodplain area likely indicates the greater diversity of geologic material at depth in aquifer material and generally finer-grained alluvium compared to the floodplain study area combined with generally older groundwater that has had more contact time with aquifer materials. In general, trace element concentrations (1) increased with increasing groundwater age, (2) increased with distance from recharge sources in the mountains, and (3) increased with closer proximity to some types of geological units. In general, groundwater from domestic wells in the floodplain study area is young, with most samples containing a component of modern groundwater based on tritium and unadjusted carbon-14 activities, whereas groundwater from domestic wells in the regional study area generally is old, with most samples having unadjusted carbon-14 ages of 5,000–40,000 years.
Public-supply wells in MOBS generally were deeper than domestic wells and presumably are in contact with older, more weathered alluvium that may have more mobile trace elements, such as arsenic or uranium. However, only 26 percent of the public-supply regional study area had high relative concentrations of inorganic constituents, compared to 58 percent for the domestic regional study area. The percentages of the public-supply and domestic floodplain study areas with high relative concentrations of inorganic constituents were 11 and 13 percent, respectively. The ages of groundwater used by public-supply and domestic wells in each study area were similar, which was not expected given the greater depth of the public-supply wells. Three potential factors may contribute to these results: (1) greater spatial footprint of domestic well network, which may result in domestic wells pumping groundwater from fractured bedrock or mineralized areas not used by public-supply wells; (2) greater pumping rates in public-supply wells, resulting in more water being withdrawn from coarse-grained, heterogeneous alluvium than finer-grained layers, which may have higher concentrations of (or more mobile) inorganic constituents; and (3) a greater degree of well management with public-supply wells, which may include pausing use of or decommissioning wells if treating or blending water is not feasible to lower constituent concentrations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245019","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","programNote":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program","usgsCitation":"Groover, K.D., Fram, M.S., and Levy, Z.F., 2024, Status and understanding of groundwater quality in the Mojave Basin Domestic-Supply Aquifer study unit, 2018—California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2024–5019, 62 p., https://doi.org/10.3133/sir20245019.","productDescription":"x, 62 p.","numberOfPages":"62","onlineOnly":"Y","ipdsId":"IP-110004","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":499448,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116979.htm","linkFileType":{"id":5,"text":"html"}},{"id":428611,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5019/sir20245019.XML"},{"id":428610,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5019/images"},{"id":428608,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245019/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5019"},{"id":428607,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5019/sir20245019.pdf","text":"Report","size":"14.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5019"},{"id":428606,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5019/sir20245019.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 -117.51859835894652,\n 35.183647408915874\n ],\n [\n -117.51859835894652,\n 34.28986048082601\n ],\n [\n -116.15629367144663,\n 34.28986048082601\n ],\n [\n -116.15629367144663,\n 35.183647408915874\n ],\n [\n -117.51859835894652,\n 35.183647408915874\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
In a laboratory experiment, we quantified microhabitat use of small yellow-phase American eels (Anguilla rostrata, n = 130, 224–338 mm TL) conditional on five benthic substrate types common to rivers within their geographic range. During nine, 4-day trials replicated with three aquaria, American eels were given a choice to burrow into five equally available benthic substrates: cobble (90–256 mm), gravel (4–16 mm), sand (0.125–1 mm), silt/clay (< 0.0625 mm), and leaf pack. Five American eels were used per aquarium for each trial, and individuals were used one time only. All eels were injected with PIT tags prior to the study, which allowed for determination of lengths and otolith-based ages of each individual following each trial. Leaf pack was selected with a significantly higher probability than other substrates (63 of 130 individuals). However, other substrates were also used (cobble, 21 of 130; silt/clay, 18 of 130; gravel, 16 of 130; and sand, 12 of 130). Length and age covariates were not associated with substrate selection. Selection of leaf pack habitat supports the importance of forested riparian zones and terrestrial organic material to yellow-phase American eels in riverine systems.
","language":"English","publisher":"Springer Link","doi":"10.1007/s10641-024-01544-z","usgsCitation":"Braham, M., Welsh, S., and Smith, D., 2024, An experimental study of benthic habitat selection in yellow-phase American eels (Anguilla rostrata): Environmental Biology of Fishes, v. 107, p. 513-522, https://doi.org/10.1007/s10641-024-01544-z.","productDescription":"10 p.","startPage":"513","endPage":"522","ipdsId":"IP-127663","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":433566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Millville hydroelectric dam, Shenandoah River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.25894317307947,\n 39.22638050030608\n ],\n [\n -78.25894317307947,\n 38.94086151879799\n ],\n [\n -77.75103536336908,\n 38.94086151879799\n ],\n [\n -77.75103536336908,\n 39.22638050030608\n ],\n [\n -78.25894317307947,\n 39.22638050030608\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"107","noUsgsAuthors":false,"publicationDate":"2024-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Braham, Melissa","contributorId":343003,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":910571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, S.A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":10191,"corporation":false,"usgs":true,"family":"Welsh","given":"S.A.","affiliations":[],"preferred":false,"id":910570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Dustin M.","contributorId":272979,"corporation":false,"usgs":false,"family":"Smith","given":"Dustin M.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":912567,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70258121,"text":"70258121 - 2024 - Site response in the Walnut Creek–Concord region of the San Francisco Bay, California: Ground motion amplification in a fault-bounded basin","interactions":[],"lastModifiedDate":"2024-10-07T16:22:14.75653","indexId":"70258121","displayToPublicDate":"2024-05-14T08:50:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Site response in the Walnut Creek–Concord region of the San Francisco Bay, California: Ground motion amplification in a fault-bounded basin","docAbstract":"Thirty‐seven portable accelerometers were deployed in the eastern San Francisco Bay communities of Walnut Creek and Concord to study site response in a fault‐bounded, urban, sedimentary basin. Local earthquakes were recorded for a period of two years from 2017 to 2019 resulting in 101 well‐recorded events. Site response is estimated by two methods: the reference site spectral ratio method and a source‐site spectral inversion method. The reference site spectral ratio method allows investigation of the variability of site amplification with source azimuth and frequency. The source‐site spectral inversion method yields the best least‐squares fit to site response for a database of ground‐motion records. Both methods show substantial amplification in the Walnut Creek–Concord basin below 2 Hz indicating strong surface‐wave development. Greater amplification is seen for sources aligned along the long axis of the basin. Inversion using close‐in sources at short distances yields lower amplification at longer periods than the entire data set due to reduced surface‐wave generation for steeper angles of incidence. Inversion of site response spectra for shallow shear‐wave velocity using a global search algorithm yields VS30 values consistent with generalized mapping results based on geology and topography but with greater variability due to local site variations. 3D finite‐element modeling shows greater amplification in the Walnut Creek–Concord basin with a basin‐edge effect likely contributing to higher ground motions. Topography is also seen to lead to increased scattering and shadowing effects.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230309","usgsCitation":"Hartzell, S.H., Leeds, A.L., Ramirez-Guzman, L., Langenheim, V., and Schmitt, R.G., 2024, Site response in the Walnut Creek–Concord region of the San Francisco Bay, California: Ground motion amplification in a fault-bounded basin: Bulletin of the Seismological Society of America, v. 114, no. 5, p. 2668-2686, https://doi.org/10.1785/0120230309.","productDescription":"18 p.","startPage":"2668","endPage":"2686","ipdsId":"IP-156595","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":433493,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Walnut Creek–Concord region of San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.15,\n 38.1\n ],\n [\n -122.15,\n 37.85\n ],\n [\n -121.85,\n 37.85\n ],\n [\n -121.85,\n 38.1\n ],\n [\n -122.15,\n 38.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"114","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":912261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leeds, Alena L. 0000-0002-8756-3687 aleeds@usgs.gov","orcid":"https://orcid.org/0000-0002-8756-3687","contributorId":4077,"corporation":false,"usgs":true,"family":"Leeds","given":"Alena","email":"aleeds@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":912262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez-Guzman, Leonardo","contributorId":175444,"corporation":false,"usgs":false,"family":"Ramirez-Guzman","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":912263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langenheim, Victoria 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":206990,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria","affiliations":[],"preferred":true,"id":912264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmitt, Robert G. 0000-0001-8060-1954 rschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-1954","contributorId":5611,"corporation":false,"usgs":true,"family":"Schmitt","given":"Robert","email":"rschmitt@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":912265,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254331,"text":"70254331 - 2024 - Translocation in a fragmented river provides demographic benefits for imperiled fishes","interactions":[],"lastModifiedDate":"2024-05-17T13:52:52.822292","indexId":"70254331","displayToPublicDate":"2024-05-14T08:47:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Translocation in a fragmented river provides demographic benefits for imperiled fishes","docAbstract":"Fragmentation isolates individuals and restricts access to valuable habitat with severe consequences for populations, such as reduced gene flow, disruption of recolonization dynamics, reduced resiliency to disturbance, and changes in aquatic community structure. Translocations to mitigate the effects of fragmentation and habitat loss are common, but few are rigorously evaluated, particularly for fishes. Over six years, we translocated 1215 individuals of four species of imperiled fish isolated below a barrier on the San Juan River, Utah, USA, that restricts access to upstream habitat. We used re-encounter data (both passive integrated transponder tag and telemetry detections and physical recaptures) collected between 2016 and 2023, to inform a spatially explicit multistate mark–recapture model that estimated survival and transition probabilities of translocated and non-translocated individuals, both below and above the barrier. Individuals of all four species moved large (>200 km) distances upstream following translocation, with the maximum upstream encounter distance varying by species. Results from the multistate mark–recapture model suggested translocated fish survived at a higher rate compared with non-translocated fish below the barrier for three of the four species. Above the barrier, translocated individuals survived at similar rates as non-translocated fish for bluehead sucker (Catostomus discobolus) and flannelmouth sucker (Catostomus latipinnis), while survival rates of translocated endangered Colorado pikeminnow (Ptychocheilus lucius; mean, 95% CI: 0.75, 0.55–0.88) and endangered razorback sucker (Xyrauchen texanus; 0.86, 0.75–0.92) were higher relative to non-translocated individuals (Colorado pikeminnow: 0.52, 0.51–0.54; razorback sucker: 0.75, 0.74–0.75). Transition probabilities from above the barrier to below the barrier were generally low for three of the four species (all upper 95% CI ≤ 0.23), but they were substantially higher for razorback sucker. Our results suggest translocation to mitigate fragmentation and habitat loss can have demographic benefits for large-river fish species by allowing movements necessary to complete their life history in heterogeneous riverscapes. Further, given the costs or delays in providing engineered fish passage structures or in achieving dam removal, we suggest translocations may provide an alternative conservation strategy in fragmented river systems.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4874","usgsCitation":"Pennock, C., Healy, B.D., Bogaard, M.R., McKinstry, M.C., Gido, K.B., Cathcart, C.N., and Hines, B., 2024, Translocation in a fragmented river provides demographic benefits for imperiled fishes: Ecosphere, v. 15, no. 5, e4874, 18 p., https://doi.org/10.1002/ecs2.4874.","productDescription":"e4874, 18 p.","ipdsId":"IP-157286","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439600,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4874","text":"Publisher Index Page"},{"id":428797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico, Utah","otherGeospatial":"San Juan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.19795244457669,\n 37.464337921724805\n ],\n [\n -110.39339902199882,\n 37.464337921724805\n ],\n [\n -110.39339902199882,\n 36.58940165978096\n ],\n [\n -107.19795244457669,\n 36.58940165978096\n ],\n [\n -107.19795244457669,\n 37.464337921724805\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Pennock, Casey A.","contributorId":287044,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":900989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Healy, Brian D. 0000-0002-4402-638X","orcid":"https://orcid.org/0000-0002-4402-638X","contributorId":304257,"corporation":false,"usgs":true,"family":"Healy","given":"Brian","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":900990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bogaard, Matthew R.","contributorId":317815,"corporation":false,"usgs":false,"family":"Bogaard","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":900991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKinstry, Mark C.","contributorId":301155,"corporation":false,"usgs":false,"family":"McKinstry","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":65322,"text":"Upper Colorado Regional Office","active":true,"usgs":false}],"preferred":false,"id":900992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gido, Keith B.","contributorId":198487,"corporation":false,"usgs":false,"family":"Gido","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":900993,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cathcart, C. Nathan","contributorId":214105,"corporation":false,"usgs":false,"family":"Cathcart","given":"C.","email":"","middleInitial":"Nathan","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":900994,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hines, Brian","contributorId":336773,"corporation":false,"usgs":false,"family":"Hines","given":"Brian","email":"","affiliations":[{"id":80857,"text":"U.S. Bureau of Reclamation, Upper Colorado Regional Office, Salt Lake City, Utah, USA","active":true,"usgs":false}],"preferred":false,"id":900995,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261914,"text":"70261914 - 2024 - Estimating price elasticity of demand for mineral commodities used in lithium-ion batteries in the face of surging demand","interactions":[],"lastModifiedDate":"2025-01-03T14:47:53.520255","indexId":"70261914","displayToPublicDate":"2024-05-14T08:31:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3267,"text":"Resources, Conservation and Recycling","active":true,"publicationSubtype":{"id":10}},"title":"Estimating price elasticity of demand for mineral commodities used in lithium-ion batteries in the face of surging demand","docAbstract":"The accelerating adoption of clean energy technologies is driving demand for certain mineral commodities like lithium, essential for electric vehicle batteries. Understanding the influence of the energy transition on each market requires examining their supply and demand price elasticities. However, there have only been a limited number of studies that have estimated mineral demand price elasticities in emerging technologies. We empirically estimate the price elasticity demand (PEDs) for mineral commodities used in lithium-ion battery cathodes and anodes—cobalt, graphite, lithium, manganese, and nickel. We also test whether the price elasticities of these mineral commodities have changed due to any structural changes in recent years, given the recent expansion in the sales of electric vehicles. Using Two Stage Least Squared (2SLS) econometric techniques, we find that demand has become less elastic for lithium (-0.11), cobalt (-0.45), nickel (-0.09), and manganese (-0.04) after structural breaks in 2020, 2013, 2009, and 2014, respectively. In contrast, demand for natural amorphous graphite (-0.36), and natural flake graphite (-0.58) remains relatively stable over the time period assessed.","language":"English","publisher":"Elsevier","doi":"10.1016/j.resconrec.2024.107664","usgsCitation":"Shojaeddini, E., Alonso, E., and Nassar, N.T., 2024, Estimating price elasticity of demand for mineral commodities used in lithium-ion batteries in the face of surging demand: Resources, Conservation and Recycling, v. 207, 107664, 9 p., https://doi.org/10.1016/j.resconrec.2024.107664.","productDescription":"107664, 9 p.","ipdsId":"IP-154682","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":467008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.resconrec.2024.107664","text":"Publisher Index Page"},{"id":465625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"207","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shojaeddini, Ensieh 0000-0001-9584-6399","orcid":"https://orcid.org/0000-0001-9584-6399","contributorId":345023,"corporation":false,"usgs":false,"family":"Shojaeddini","given":"Ensieh","affiliations":[{"id":82464,"text":"Akima System Engineering","active":true,"usgs":false}],"preferred":false,"id":922263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":922264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":922265,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70258633,"text":"70258633 - 2024 - Infectivity of wild-bird origin Influenza A viruses in Minnesota wetlands across seasons","interactions":[],"lastModifiedDate":"2024-09-19T12:09:47.45247","indexId":"70258633","displayToPublicDate":"2024-05-14T07:07:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9113,"text":"Pathogens","active":true,"publicationSubtype":{"id":10}},"title":"Infectivity of wild-bird origin Influenza A viruses in Minnesota wetlands across seasons","docAbstract":"Image-based algorithms have become a powerful tool for estimating flow velocities in rivers. In this study, we generalize the space-time image velocimetry (STIV) framework for reach-scale application rather than along a cross section. The new algorithm provides information on both the magnitude and orientation of velocity vectors, and we refer to the algorithm as two-dimensional STIV, or 2D-STIV. The workflow involves setting up a grid, using centreline tangent vectors as initial estimates of flow direction, and then extracting space-time images (STIs) along search lines radiating from each grid node. The autocorrelation function is used to infer the inclination of streak lines present in STIs, which represents the advection of water surface features. Information on flow direction is obtained by evaluating various candidate search lines and identifying that which yields the highest velocity. This search can be performed exhaustively or via optimization. We applied the new 2D-STIV algorithm to three test cases, one simulated data set and two natural channels, and compared image-derived velocities to modelled or measured values. We also applied two established particle image velocimetry (PIV) algorithms to the same data sets. 2D-STIV performed as well as the two PIV algorithms for simulated images. For a natural river with distinct water surface features, 2D-STIV was effective for much of the channel but also led to a more patchy, irregular velocity field than the two PIV algorithms. For a site lacking obvious surface features, exhaustive 2D-STIV led to velocity estimates uncorrelated with field data while the optimization-based version produced erratic flow directions. 2D-STIV also required greater image sequence durations, higher frame rates, and generally longer computational run times. Overall, ensemble PIV was the most reliable algorithm.
Freshwater mussels (Bivalvia: Unionida) are an ecologically important faunal group. Excessive sediments, both in suspended and deposited formats, are believed to have negative effects on survival of freshwater mussels. However, there is a lack of quantitative tools for assessing the impact of abrupt and excessive sedimentation on freshwater mussel habitats. This gap in knowledge poses challenges for construction planning that necessitates evaluating sedimentation effects on mussels. In this paper, we present a simple Lagrangian particle tracking (LPT) model designed to investigate the downstream distances from the sediment release point where mussels may face risks of sediment exposure and burial during episodic sedimentation events. We validated the model in predicting the deposition of sands ranging from 125 to
Shallow, tropical coral reefs face compounding threats from climate change, habitat degradation due to coastal development and pollution, impacts from storms and sea-level rise, and pulse disturbances like blast fishing, mining, dredging, and ship groundings that reduce reef height and complexity. One approach toward restoring coral reef physical structure from such impacts is deploying built structures of artificial, natural, or hybrid (both artificial and natural) origin. Built structures range from designed modules and repurposed materials to underwater sculptures and intentionally placed natural rocks. Restoration practitioners and coastal managers increasingly consider incorporating – and in many cases have already begun to incorporate – built structures into coral reef-related applications, yet synthesized evidence on the ecological (coral-related; e.g., coral growth, coral survival) and physical performance of built structures in coral ecosystems across a variety of contexts (e.g., restoration, coastal protection, mitigation, tourism) is not readily available to guide decisions. To help fill this gap and inform management decisions, we systematically mapped the global distribution and abundance of published evidence on the ecological (coral-related) and physical performance of built structure interventions in shallow (≤ 30 m), tropical (35°N to 35°S) coral ecosystems.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13750-024-00336-3","usgsCitation":"Paxton, A., Foxfoot, I.R., Cutshaw, C., Steward, D., Poussard, L., Riley, T., Swannack, T.M., Piercy, C., Altman, S., Puckett, B., Storlazzi, C.D., and Viehman, S., 2024, Evidence on the ecological and physical effects of built structures in shallow, tropical coral reefs: A systematic map: Environmental Evidence, v. 13, 12, 26 p., https://doi.org/10.1186/s13750-024-00336-3.","productDescription":"12, 26 p.","ipdsId":"IP-161299","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":439609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13750-024-00336-3","text":"Publisher Index Page"},{"id":428970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2024-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Paxton, Avery 0000-0002-4871-9167","orcid":"https://orcid.org/0000-0002-4871-9167","contributorId":331325,"corporation":false,"usgs":false,"family":"Paxton","given":"Avery","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":901087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foxfoot, Iris R.","contributorId":336806,"corporation":false,"usgs":false,"family":"Foxfoot","given":"Iris","middleInitial":"R.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":901088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cutshaw, Christina","contributorId":336808,"corporation":false,"usgs":false,"family":"Cutshaw","given":"Christina","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":901089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steward, D’amy","contributorId":336809,"corporation":false,"usgs":false,"family":"Steward","given":"D’amy","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":901090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poussard, Leanne","contributorId":331346,"corporation":false,"usgs":false,"family":"Poussard","given":"Leanne","email":"","affiliations":[],"preferred":false,"id":901091,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riley, Trevor","contributorId":336811,"corporation":false,"usgs":false,"family":"Riley","given":"Trevor","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":901092,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swannack, Todd M.","contributorId":336813,"corporation":false,"usgs":false,"family":"Swannack","given":"Todd","middleInitial":"M.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":901093,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piercy, Candice","contributorId":331327,"corporation":false,"usgs":false,"family":"Piercy","given":"Candice","email":"","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":901094,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Altman, Safra","contributorId":331328,"corporation":false,"usgs":false,"family":"Altman","given":"Safra","email":"","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":901095,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Puckett, Brandon 0000-0001-9615-6242","orcid":"https://orcid.org/0000-0001-9615-6242","contributorId":331329,"corporation":false,"usgs":false,"family":"Puckett","given":"Brandon","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":901096,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":901097,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Viehman, Shay","contributorId":336815,"corporation":false,"usgs":false,"family":"Viehman","given":"Shay","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":901098,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70254203,"text":"ofr20241023 - 2024 - Joint Agency Commercial Imagery Evaluation (JACIE) best practices for remote sensing system evaluation and reporting","interactions":[],"lastModifiedDate":"2024-05-13T23:37:56.799413","indexId":"ofr20241023","displayToPublicDate":"2024-05-13T15:10:50","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1023","displayTitle":"Joint Agency Commercial Imagery Evaluation (JACIE) Best Practices for Remote Sensing System Evaluation and Reporting","title":"Joint Agency Commercial Imagery Evaluation (JACIE) best practices for remote sensing system evaluation and reporting","docAbstract":"The Joint Agency Commercial Imagery Evaluation (JACIE) partnership consists of six agencies representing the U.S. Government’s commitment to promoting the use of high-quality remotely sensed data to meet scientific and other Federal needs. These agencies are large consumers of remotely sensed data and bring extensive experience in the assessment and use of these data. The six agencies are as follows: National Aeronautics and Space Administration, National Geospatial-Intelligence Agency, National Oceanic and Atmospheric Administration, U.S. Department of Agriculture, U.S. Geological Survey, and National Reconnaissance Office.
JACIE was formed in 2001 to assess the quality of data from the nascent commercial high-resolution satellite industry. Since then, JACIE has expanded its purview to include data at various resolutions, including commercial and civil.
The processes and techniques used by the JACIE agencies to assess data quality have been compiled within this report to share them across the agencies and with others who want to assess remotely sensed imagery data or understand how data are assessed and reported by JACIE.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241023","usgsCitation":"Cantrell, S.J., and Christopherson, J.B., 2024, Joint Agency Commercial Imagery Evaluation (JACIE) best practices for remote sensing system evaluation and reporting: U.S. Geological Survey Open-File Report 2024–1023, 26 p., https://doi.org/10.3133/ofr20241023.","productDescription":"vi, 26 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-153510","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":428638,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241023/full"},{"id":428637,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1023/images/"},{"id":428636,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1023/ofr20241023.XML"},{"id":428635,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1023/ofr20241023.pdf","text":"Report","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1023"},{"id":428634,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1023/coverthb.jpg"}],"contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Waterfowl population recruitment is sensitive to duckling survival. We quantified predator types and survival rates for Anas platyrhynchos (Mallard) and Mareca strepera (Gadwall) ducklings in one of the largest brackish water marshes in western North America (Suisun Marsh, California) using 556 radio-tagged ducklings from 284 broods tracked during the 2016 to 2019 breeding seasons. Overall, 78% of ducklings died and 84% of mortalities occurred < 7 days after hatch. After hatching in upland fields, survival was greater for broods that hatched closer to flooded wetlands; broods had a ≥ 75% chance of surviving the move from the nest to water when nests were located ≤ 140 m from the nearest wetland and ≤ 50% chance of surviving when nests were located ≥ 970 m from the nearest wetland. Predation accounted for 91% of mortalities and was attributed to mammals (27.6%), birds (22.0%), snakes (4.4%), and unknown predators (46.0%). Anas platyrhynchos survival to fledging (54 days) was only 3.2% and 0.9% during 2 drier years and 11.7% and 16.7% during 2 wetter years. Mareca strepera survival to fledging was 9.4% to 11.2% among years. Daily survival rates for ducklings generally increased with the amount of flooded wetlands within 0.5 km (A. platyrhynchos) and 1.0 km (M. strepera) of the nest at hatch. Additionally, survival rates increased with duckling age and body mass at hatch for both species and decreased with hatch date for A. platyrhynchos but not M. strepera, which may be partially due to the earlier onset of A. platyrhynchos nesting. For ducklings that survived the initial move to water, survival rates were negatively correlated with salinity and this effect was more pronounced for younger ducklings. Anas platyrhynchos survival to 7 days post hatch decreased by 9.1% (wetter year) to 31.4% (drier year) when ducklings were in 12 ppt water (99th quantile of cumulative salinity concentrations experienced by ducklings) versus 0.5 ppt water. Mareca strepera survival to 7 days decreased by 7.4% when ducklings were in 12 ppt vs. 0.5 ppt water. Our results suggest that maintaining a network of low salinity wetlands within 1 km of upland nesting sites would likely improve duckling survival rates, especially during the critical 7-day period after hatch.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duae017","collaboration":"CDFW, DWR, BOR","usgsCitation":"Peterson, S.H., Ackerman, J.T., Hartman, C.A., Greenawalt, A.C., Casazza, M.L., and Herzog, M.P., 2024, Duckling survival increased with availability of flooded wetland habitat and decreased with salinity concentrations in a brackish marsh: Ornithological Applications, v. 126, no. 3, duae017, 18 p., https://doi.org/10.1093/ornithapp/duae017.","productDescription":"duae017, 18 p.","ipdsId":"IP-161682","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498275,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duae017","text":"Publisher Index Page"},{"id":498159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Suisan Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.02904038945182,\n 38.15034309532726\n ],\n [\n -122.02904038945182,\n 38.04476134451929\n ],\n [\n -121.83322632092529,\n 38.04476134451929\n ],\n [\n -121.83322632092529,\n 38.15034309532726\n ],\n [\n -122.02904038945182,\n 38.15034309532726\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"126","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":952997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":952998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":952999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greenawalt, Andrew C. 0000-0003-4443-9528","orcid":"https://orcid.org/0000-0003-4443-9528","contributorId":364649,"corporation":false,"usgs":false,"family":"Greenawalt","given":"Andrew","middleInitial":"C.","affiliations":[{"id":63051,"text":"previously WERC","active":true,"usgs":false}],"preferred":false,"id":953000,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953001,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953002,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70257445,"text":"70257445 - 2024 - Unexpected effect of geographic origin on post-translocation survival in a long-lived reptile, the gopher tortoise","interactions":[],"lastModifiedDate":"2024-10-23T16:06:45.667726","indexId":"70257445","displayToPublicDate":"2024-05-13T09:51:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Unexpected effect of geographic origin on post-translocation survival in a long-lived reptile, the gopher tortoise","docAbstract":"Mitigation translocations move wildlife from specific areas due to conflict with humans over land use at the site. A critical decision when carrying out mitigation translocation is the acceptable distance across which animals can be moved. This decision trades off logistical expediency of unrestricted translocation with the risk of reducing translocation success due to environmental mismatch between origin and translocation site conditions. In this study, we used a large dataset of 502 individually identifiable carcasses to examine the role of geographic origin and translocation distance in the relative survival of 2822 translocated subadult and adult gopher tortoises (Gopherus polyphemus), a species experiencing large-scale mitigation translocation, at a recipient site in the Florida panhandle, USA. We hypothesized that if climate or habitat differences between the origin and translocation site influenced survival, tortoises translocated from within the Florida panhandle would have the highest survival. To the contrary, we found that survival slightly increased with increasing climatic difference between origin and recipient site, driven by higher survival of tortoises coming from central Florida sites compared to those from the panhandle and north Florida. This suggests that environmental mismatch due to long-distance translocation is not a main driver of mortality. These models also indicated an effect of season, with a survival advantage to tortoises translocated in the spring and late fall, relative to summer translocations, and a negative effect of initial density on survival. Finally, we also estimated the upper bound on annual survival in three well-monitored groups to be quite low (92–95%) for several years following release, suggesting caution when considering large translocated populations to be viable without first assessing adult survival. Our unexpected results highlight the importance of investigating species-specific sensitivities to translocation distances and indicate the limitations of assumed linear effects of translocation distance on outcomes.
","language":"English","publisher":"Zoological Society of London","doi":"10.1111/acv.12946","usgsCitation":"Loope, K.J., Cozad, R.A., Breakfield, D.B., Aresco, M.J., and Hunter, E.A., 2024, Unexpected effect of geographic origin on post-translocation survival in a long-lived reptile, the gopher tortoise: Animal Conservation, v. 27, no. 5, p. 685-697, https://doi.org/10.1111/acv.12946.","productDescription":"13 p.","startPage":"685","endPage":"697","ipdsId":"IP-155162","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439612,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/acv.12946","text":"Publisher Index Page"},{"id":433572,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Virgil I. Grissom Elementary School and Donald L. Morrill Math and Science School were selected in 2014 for schoolyard upgrades and the installation of various green infrastructure (GI) improvements. The U.S. Geological Survey installed sensors to measure precipitation, groundwater levels, and stormwater runoff volumes from September 1, 2016, to July 1, 2017.
At Virgil I. Grissom Elementary School, about 933,000 gallons of water fell on the schoolyard during the monitoring period. No discharge was recorded coming from the GI sewer lines, but backflow indicated water was flowing from the sewer line draining the impervious running track into the combined manhole structure and backwards into the GI retention basins (as designed). This design allowed for a 100-percent capture rate. Native soil at Virgil I. Grissom Elementary School also was conducive to rapid infiltration. Soil borings at Virgil I. Grissom Elementary School indicated about 10.5 feet (ft) of fine sand overlying silty clay to a depth of at least 16 ft. At Donald L. Morrill Math and Science School, about 1,120,000 gallons of water fell on the schoolyard during the monitoring period. About 72.5 precent of this water was discharged into the sewer system, and the other 27.5 percent was captured by the GI. Unlike Virgil I. Grissom Elementary School, the soil profile at Donald L. Morrill Math and Science School consisted of about 5 ft of clay loam overlying stiff blue clay to a depth of at least 12 ft. The sewer line coming from the GI under the football field was at the bottom of the reservoir. This design seemed to allow water to flow out of the line before being absorbed by the retention basin.
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Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Many bird species are of conservation concern across the Northern Gulf of Mexico from stressors such as human disturbance, predation, and habitat loss due to directional environmental change (e.g., increased sea-level rise and storm frequency and intensity, human infrastructure, changes in land use). Consequently, managers need decision-support tools that can help to answer important conservation questions for different species (e.g., which areas and how much area should be targeted by management actions to meet a particular species’ needs). The Black Skimmer (Rynchops niger; hereafter Skimmer) and Gull-billed Tern (Gelochelidon nilotica; hereafter Tern) are designated as U.S. Fish and Wildlife Service (USFWS) Species of Conservation Concern and Gulf Coast Joint Venture (GCJV) Priority Species with nesting habitats in the USFWS Gulf Coast Biological Planning Units (BPU; Tirpak et al. 2017). They are also representative of a variety of other beach and barrier-island nesting birds whose Gulf Coast nesting habitats are threatened by directional environmental change. The Skimmer has breeding pair targets in six GCJV Initiative Areas (IA), and the Tern has breeding pair targets in five GCJV IAs. Our goal was to inform GCJV management scenarios that efficiently and simultaneously achieve both species’ targets by prioritizing sites where management actions (e.g., maintain existing habitat or change habitat, geomorphology [landmass area, landmass elevation], predator management, human and dog restrictions) could be implemented.
","language":"English","publisher":"Gulf Coast Joint Venture","usgsCitation":"Cronin, J.P., Vermillion, W., and Wilson, B., 2024, Final report to the Gulf Coast Joint Venture: Black Skimmer and Gull-billed Tern: Final Report, 17 p.","productDescription":"17 p.","ipdsId":"IP-165856","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":496576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496571,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://gcjv.org/resources","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cronin, James P. 0000-0001-6791-5828 jcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-6791-5828","contributorId":5834,"corporation":false,"usgs":true,"family":"Cronin","given":"James","email":"jcronin@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":950355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vermillion, William","contributorId":245515,"corporation":false,"usgs":false,"family":"Vermillion","given":"William","affiliations":[{"id":49214,"text":"USFWS, Gulf Coast Joint Venture","active":true,"usgs":false}],"preferred":false,"id":950356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Barry C","contributorId":292213,"corporation":false,"usgs":false,"family":"Wilson","given":"Barry C","affiliations":[{"id":62842,"text":"USWFS","active":true,"usgs":false}],"preferred":false,"id":950357,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254169,"text":"70254169 - 2024 - Impacts of artificial rearing on cisco Coregonus artedi morphology, including pugheadedness","interactions":[],"lastModifiedDate":"2024-07-01T14:46:18.29236","indexId":"70254169","displayToPublicDate":"2024-05-13T07:24:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of artificial rearing on cisco Coregonus artedi morphology, including pugheadedness","docAbstract":"