{"pageNumber":"283","pageRowStart":"7050","pageSize":"25","recordCount":184757,"records":[{"id":70242949,"text":"70242949 - 2023 - Revealing the extent of sea otter impacts on bivalve prey through multi-trophic monitoring and mechanistic models","interactions":[],"lastModifiedDate":"2023-06-09T15:19:19.221059","indexId":"70242949","displayToPublicDate":"2023-04-20T06:46:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Revealing the extent of sea otter impacts on bivalve prey through multi-trophic monitoring and mechanistic models","docAbstract":"<ol class=\"\"><li>Sea otters are apex predators that can exert considerable influence over the nearshore communities they occupy. Since facing near extinction in the early 1900s, sea otters are making a remarkable recovery in Southeast Alaska, particularly in Glacier Bay, the largest protected tidewater glacier fjord in the world. The expansion of sea otters across Glacier Bay offers both a challenge to monitoring and stewardship and an unprecedented opportunity to study the top-down effect of a novel apex predator across a diverse and productive ecosystem.</li><li>Our goal was to integrate monitoring data across trophic levels, space, and time to quantify and map the predator–prey interaction between sea otters and butter clams<span>&nbsp;</span><i>Saxidomus gigantea</i>, one of the dominant large bivalves in Glacier Bay and a favoured prey of sea otters.</li><li>We developed a spatially-referenced mechanistic differential equation model of butter clam dynamics that combined both environmental drivers of local population growth and estimates of otter abundance from aerial survey data. We embedded this model in a Bayesian statistical framework and fit it to clam survey data from 43 intertidal and subtidal sites across Glacier Bay.</li><li>Prior to substantial sea otter expansion, we found that butter clam density was structured by an environmental gradient driven by distance from glacier (represented by latitude) and a quadratic effect of current speed. Estimates of sea otter attack rate revealed spatial heterogeneity in sea otter impacts and a negative relationship with local shoreline complexity.</li><li>Sea otter exploitation of productive butter clam habitat substantially reduced the abundance and altered the distribution of butter clams across Glacier Bay, with potential cascading consequences for nearshore community structure and function. Spatial variation in estimated sea otter predation processes further suggests that community context and local environmental conditions mediate the top-down influence of sea otters on a given prey. Overall, our framework provides high-resolution insights about the interaction among components of this food web and could be applied to a variety of other systems involving invasive species, epidemiology or migration.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.13929","usgsCitation":"Leach, C.B., Weitzman, B.P., Bodkin, J., Esler, D., Esslinger, G.G., Kloecker, K.A., Monson, D., Womble, J., and Hooten, M.B., 2023, Revealing the extent of sea otter impacts on bivalve prey through multi-trophic monitoring and mechanistic models: Journal of Animal Ecology, v. 92, no. 5, p. 1230-1243, https://doi.org/10.1111/1365-2656.13929.","productDescription":"14 p.","startPage":"1230","endPage":"1243","ipdsId":"IP-134411","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":443800,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.13929","text":"Publisher Index Page"},{"id":435367,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LODH0Z","text":"USGS data release","linkHelpText":"Intertidal and Subtidal Sea Otter Prey Sampling in Mixed Sediment Habitat in Glacier Bay National Park and Preserve, Alaska, 1998 to 2011"},{"id":416170,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Leach, Clinton B.","contributorId":270703,"corporation":false,"usgs":false,"family":"Leach","given":"Clinton","email":"","middleInitial":"B.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":870322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weitzman, Benjamin P.","contributorId":304409,"corporation":false,"usgs":false,"family":"Weitzman","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":66056,"text":"USFWS-MMM","active":true,"usgs":false}],"preferred":false,"id":870323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodkin, James L. 0000-0003-1641-4438","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":264733,"corporation":false,"usgs":false,"family":"Bodkin","given":"James L.","affiliations":[{"id":40616,"text":"former USGS PI","active":true,"usgs":false}],"preferred":false,"id":870324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":true,"id":870325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":870326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kloecker, Kimberly A. 0000-0002-2461-968X kkloecker@usgs.gov","orcid":"https://orcid.org/0000-0002-2461-968X","contributorId":3442,"corporation":false,"usgs":true,"family":"Kloecker","given":"Kimberly","email":"kkloecker@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":870327,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":870328,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Womble, Jamie N.","contributorId":267709,"corporation":false,"usgs":false,"family":"Womble","given":"Jamie N.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":870329,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hooten, Mevin B. 0000-0002-1614-723X","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":292295,"corporation":false,"usgs":false,"family":"Hooten","given":"Mevin","email":"","middleInitial":"B.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":870330,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70256501,"text":"70256501 - 2023 - Movement ecology of adult and juvenile spotted turtles (Clemmys guttata) in a seasonally dynamic environment","interactions":[],"lastModifiedDate":"2024-08-20T11:13:42.94682","indexId":"70256501","displayToPublicDate":"2023-04-20T06:12:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Movement ecology of adult and juvenile spotted turtles (Clemmys guttata) in a seasonally dynamic environment","docAbstract":"<div class=\"section\"><strong>Context</strong><p id=\"d6e170\">Understanding the temporal and spatial scales at which wildlife move is vital for conservation and management. This is especially important for semi-aquatic species that make frequent inter-wetland movements to fulfil life-history requirements.</p></div><div class=\"section\"><strong>Aims</strong><p id=\"d6e175\">We aimed to investigate the drivers of movement and space-use of the imperilled spotted turtle (<i>Clemmys guttata</i>), a seasonal wetland specialist, in three large, isolated wetland complexes in Virginia, USA.</p></div><div class=\"section\"><strong>Methods</strong><p id=\"d6e183\">We used VHF radio-transmitters to radio-locate adult and juvenile turtles, and estimated movement and space-use during their active and aestivation seasons (March–August). We then used generalised linear mixed models to examine how movement and space-use varied, based on intrinsic turtle characteristics and extrinsic wetland and climatic factors.</p></div><div class=\"section\"><strong>Key results</strong><p id=\"d6e188\">We show that, on average, individual spotted turtles used five wetlands per year (range 3–13), and that their inter-wetland movement and movement distance varied seasonally in accordance with wetland availability and breeding phenology. Spotted turtle movement and space-use was influenced by the arrangement and size of the wetland complexes, with turtles moving further and occupying larger home-ranges as size and distance between wetlands increased. Inter-wetland movement was not influenced by intrinsic turtle effects but larger adult turtles moved further, used more wetlands, and had larger home-ranges than smaller turtles.</p></div><div class=\"section\"><strong>Conclusions</strong><p id=\"d6e193\">Turtle responses to variation in season and wetland configuration highlight the need for complex and dynamic landscapes required to sustain this species.</p></div><div class=\"section\"><strong>Implications</strong><p id=\"d6e198\">This study has important conservation implications showing that spotted turtles rely on a large number of diverse wetlands, as well as upland habitat, to fulfil their resource needs – and that these habitat associations vary seasonally. Results from our study can aid the understanding of spatial and temporal variation in patch characteristics (e.g. quality and extent) and inter-patch movement by organisms, which is critical for the conservation and management of semi-aquatic species and other organisms that occupy patchy habitat complexes.</p></div>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WR22107","usgsCitation":"Lassiter, E., Sperry, J., and DeGregorio, B.A., 2023, Movement ecology of adult and juvenile spotted turtles (Clemmys guttata) in a seasonally dynamic environment: Wildlife Research, https://doi.org/10.1071/WR22107.","ipdsId":"IP-141704","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Lassiter, Ellery","contributorId":340924,"corporation":false,"usgs":false,"family":"Lassiter","given":"Ellery","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sperry, Jinelle","contributorId":340925,"corporation":false,"usgs":false,"family":"Sperry","given":"Jinelle","affiliations":[{"id":81679,"text":"Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":907690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907691,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256478,"text":"70256478 - 2023 - Survey evaluation of Florida’s freshwater fisheries long-term monitoring program","interactions":[],"lastModifiedDate":"2024-08-06T16:40:27.298109","indexId":"70256478","displayToPublicDate":"2023-04-19T11:36:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6476,"text":"Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Survey evaluation of Florida’s freshwater fisheries long-term monitoring program","docAbstract":"<p><span>Natural resource monitoring programs benefit from routine evaluation. Here, Florida’s statewide Freshwater Fisheries Long-Term Monitoring (LTM) program is used to show how stakeholder surveys can be integral to this process. In 2022, an online questionnaire was sent to internal stakeholders, i.e., state agency personnel who collect, enter, or use freshwater fisheries data for fisheries and habitat management purposes. The survey’s primary objective was to evaluate the program at its 15-year mark; secondary objectives were to compare results with a similar survey conducted at the 4-year mark, compare results among respondents based on experience and functional role, and develop recommendations for strategic initiatives to further improve the program. The survey consisted of 43 questions across six sections of program evaluation: demographics; field sampling; data entry, summary, and reporting; management decision support; programmatic views; and additional input. Respondents generally had positive views of the LTM program, but the survey revealed differences among respondents with different functional roles (e.g., fisheries researchers and managers viewed the decisional value, priority, and sample sizes of LTM data more favorably than habitat managers) while highlighting high-priority future initiatives (e.g., database development). Our results demonstrate the utility of stakeholder surveys as an important step in evaluating monitoring programs.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/fishes8040216","usgsCitation":"Bonvechio, K.I., Paudyal, R., Crandall, C., and Carlson, A.K., 2023, Survey evaluation of Florida’s freshwater fisheries long-term monitoring program: Fishes, v. 8, no. 4, 216, 16 p., https://doi.org/10.3390/fishes8040216.","productDescription":"216, 16 p.","ipdsId":"IP-145593","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443805,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fishes8040216","text":"Publisher Index Page"},{"id":432295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70242799,"text":"ofr20231016 - 2023 - Haliaeetus leucocephalus (bald eagle) and Aquila chrysaetos (golden eagle) mortality and exposure to lead, mercury, and anticoagulant rodenticides in eight western and midwestern States, 2014–17","interactions":[],"lastModifiedDate":"2023-04-20T12:21:49.432587","indexId":"ofr20231016","displayToPublicDate":"2023-04-19T09:21:33","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":"2023-1016","displayTitle":"<em>Haliaeetus leucocephalus</em> (Bald Eagle) and <em>Aquila chrysaetos</em> (Golden Eagle) Mortality and Exposure to Lead, Mercury, and Anticoagulant Rodenticides in Eight Western and Midwestern States, 2014–17","title":"Haliaeetus leucocephalus (bald eagle) and Aquila chrysaetos (golden eagle) mortality and exposure to lead, mercury, and anticoagulant rodenticides in eight western and midwestern States, 2014–17","docAbstract":"<p>The U.S. Geological Survey National Wildlife Health Center measured environmental contaminants in <i>Haliaeetus leucocephalus</i> (bald eagles) and <i>Aquila chrysaetos</i> (golden eagles) to evaluate dietary exposure to lead, mercury, and anticoagulant rodenticides (AR), all of which were identified by U.S. Fish and Wildlife Service as a priority issue of concern for Mountain Prairie Region 6. Data were needed to inform U.S. Fish and Wildlife Service regional programs aimed at reducing exposure to these substances. Carcasses of bald eagles (<i>n</i>=172) and golden eagles (<i>n</i>=142) collected from North and South Dakota, Montana, Wyoming, Colorado, Utah, Nebraska, and Kansas between 2014 and 2017 were assessed for cause of death and liver lead, mercury, and AR level concentrations. Trauma, electrocution, and lead poisoning were the three leading causes of death, affecting 51 percent, 21 percent, and 20 percent of eagles, respectively. Trauma was the leading cause of death for both species, whereas lead poisoning was the second leading cause of death for bald eagles (31 percent) and was only diagnosed as the cause of death in 7 percent of golden eagles. Elevated lead concentrations within the range of subclinical or clinical poisoning (greater than [&gt;] 2 milligrams per kilogram [mg/kg] wet weight) were present in 25 percent of eagles tested, including 36 percent of bald eagles and 11 percent of golden eagles. No association was detected among lead exposure and trauma, electrocution, or infectious disease. Mercury concentrations were considered high (&gt;80 mg/kg dry weight) for only 2 percent of bald eagles and no golden eagles. Brodifacoum was the most common AR detected, present in 56 percent of eagles, including 70 percent of bald eagles and 39 percent of golden eagles; however, death was not directly attributed to AR toxicosis in any case. Results of this study provide baseline data on common causes of mortality and threats to eagles in Region 6 from lead, mercury, and rodenticide exposure and can be used to inform management decisions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231016","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service South Dakota Field Office","usgsCitation":"Bodenstein, B.L., Lankton, J.S., Russell, R.E., and Schwarz, M.S., 2023, Haliaeetus leucocephalus (bald eagle) and Aquila chrysaetos (golden eagle) mortality and exposure to lead, mercury, and anticoagulant rodenticides in eight western and midwestern States, 2014–17: U.S. Geological Survey Open-File Report 2023–1016, 23 p., https://doi.org/10.3133/ofr20231016.","productDescription":"Report: vii, 23 p.; Data Release","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-125449","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":416004,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231016/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":415939,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1016/coverthb.jpg"},{"id":415940,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1016/ofr20231016.pdf","text":"Report","size":"2.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023–1016"},{"id":415942,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1016/ofr20231016.XML","text":"Report","linkFileType":{"id":8,"text":"xml"}},{"id":415943,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1016/images"},{"id":415945,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F3ZPD7","text":"USGS data release","linkHelpText":"USGS National Wildlife Health Center necropsy and contaminant results for bald and golden eagles collected in 8 States from January 1, 2014, through December 31, 2017, to determine cause of illness/death and lead, mercury, and anticoagulant rodenticide exposure"}],"state":"Colorado, Kansas, Montana, Nebraska, North Dakota, South Dakota, Utah, 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/nwhc\" data-mce-href=\"https://www.usgs.gov/centers/nwhc\">National Wildlife Health Center</a><br>U.S. Geological Survey<br>6006 Schroeder Road<br>Madison, WI 53711</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Mortality and Exposure Results</li><li>Evaluation of Causes of Death and Contaminant Exposure</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-04-19","noUsgsAuthors":false,"publicationDate":"2023-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Bodenstein, Barbara L. 0000-0001-7946-0103 bbodenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":4389,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara","email":"bbodenstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":869807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":869808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":869809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwarz, Matthew S.","contributorId":304228,"corporation":false,"usgs":false,"family":"Schwarz","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":869810,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70244070,"text":"70244070 - 2023 - Characterization of maternal immunity following vaccination of broodstock against IHNV or Flavobacterium psychrophilum in rainbow trout (Oncorhynchus mykiss)","interactions":[],"lastModifiedDate":"2023-06-01T12:23:16.454241","indexId":"70244070","displayToPublicDate":"2023-04-19T07:20:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1653,"text":"Fish and Shellfish Immunology","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of maternal immunity following vaccination of broodstock against IHNV or Flavobacterium psychrophilum in rainbow trout (Oncorhynchus mykiss)","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Infectious hematopoietic necrosis (IHN) is a significant viral disease affecting&nbsp;salmonids, whereas&nbsp;</span><span><i>Flavobacterium</i><i>&nbsp;psychrophilum</i></span><span>&nbsp;(Fp), the causative agent of bacterial coldwater disease (BCWD), remains one of the most significant bacterial pathogens of salmonids. We explored&nbsp;maternal immunity&nbsp;in the context of IHN and BCWD management in&nbsp;rainbow trout&nbsp;(</span><i>Oncorhynchus mykiss</i><span>) aquaculture. Two experimental trials were conducted where different groups of female&nbsp;broodstock&nbsp;were immunized prior to spawning with an&nbsp;IHNV&nbsp;DNA vaccine&nbsp;or a live attenuated&nbsp;</span><i>F. psychrophilum</i><span>&nbsp;</span>(Fp B.17-ILM) vaccine alone, or in combination. Progeny were challenged with either a low or high dose of IHNV at 13 days post hatch (dph) and 32 dph or challenged with<span>&nbsp;</span><i>F. psychrophilum</i><span>&nbsp;at 13 dph. Mortality following a low-dose IHNV challenge at 13 dph was significantly lower in progeny from vaccinated broodstock vs. unvaccinated broodstock, but no significant differences were observed at 32 dph. Mortality due to BCWD was also significantly reduced in 13 dph fry that originated from broodstock immunized with the Fp B.17-ILM vaccine. After vaccination broodstock developed specific or&nbsp;neutralizing antibodies&nbsp;respectively to&nbsp;</span><i>F. psychrophilum</i><span>&nbsp;and IHNV; however,&nbsp;antibody titers&nbsp;in eggs and fry were undetectable. In the eggs and fry mRNA transcripts of the&nbsp;complement components&nbsp;C3 and C5 were detected at much higher levels in progeny from vaccinated broodstock and showed a significantly increased and rapid response post-challenge compared with unvaccinated broodstock. After challenges pro-inflammatory cytokine expression was immediately and considerably elevated in the fry from vaccinated broodstock vs. unvaccinated broodstock, whereas adaptive immune genes were elevated to a lesser degree. Results suggest that maternal transfer of innate and adaptive factors at the transcript level occurred because development of lymphomyeloid organs is not complete in such young fry. In addition to documenting maternally derived immunity in teleosts, this study demonstrates that broodstock vaccination can confer some degree of protection to progeny against viral and bacterial pathogens.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fsi.2023.108749","usgsCitation":"Ma, J., Trushenski, J.T., Jones, E.M., Bruce, T.J., McKenney, D., Kurath, G., and Cain, K., 2023, Characterization of maternal immunity following vaccination of broodstock against IHNV or Flavobacterium psychrophilum in rainbow trout (Oncorhynchus mykiss): Fish and Shellfish Immunology, v. 137, 108749, 15 p., https://doi.org/10.1016/j.fsi.2023.108749.","productDescription":"108749, 15 p.","ipdsId":"IP-145799","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":417639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"137","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ma, Jie","contributorId":306013,"corporation":false,"usgs":false,"family":"Ma","given":"Jie","email":"","affiliations":[{"id":66346,"text":"Department of Fish and Wildlife Sciences, College of Natural Resources, University of Idaho, Moscow, ID 83844, USA","active":true,"usgs":false}],"preferred":false,"id":874402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trushenski, Jesse T.","contributorId":306014,"corporation":false,"usgs":false,"family":"Trushenski","given":"Jesse","email":"","middleInitial":"T.","affiliations":[{"id":66347,"text":"Riverence Holdings LLC, 604 W Franklin Street, Boise, ID 83702, USA","active":true,"usgs":false}],"preferred":false,"id":874403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Evan M.","contributorId":306015,"corporation":false,"usgs":false,"family":"Jones","given":"Evan","email":"","middleInitial":"M.","affiliations":[{"id":66346,"text":"Department of Fish and Wildlife Sciences, College of Natural Resources, University of Idaho, Moscow, ID 83844, USA","active":true,"usgs":false}],"preferred":false,"id":874404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruce, Timothy J.","contributorId":306016,"corporation":false,"usgs":false,"family":"Bruce","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":66346,"text":"Department of Fish and Wildlife Sciences, College of Natural Resources, University of Idaho, Moscow, ID 83844, USA","active":true,"usgs":false}],"preferred":false,"id":874405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenney, Doug G. 0000-0003-3565-7670","orcid":"https://orcid.org/0000-0003-3565-7670","contributorId":306017,"corporation":false,"usgs":false,"family":"McKenney","given":"Doug G.","affiliations":[{"id":66349,"text":"Previously, USGS, Western Fisheries Research Center, Seattle, WA 98115, USA","active":true,"usgs":false}],"preferred":false,"id":874406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kurath, Gael 0000-0003-3294-560X","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":220175,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874407,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cain, Kenneth D.","contributorId":306018,"corporation":false,"usgs":false,"family":"Cain","given":"Kenneth D.","affiliations":[{"id":66346,"text":"Department of Fish and Wildlife Sciences, College of Natural Resources, University of Idaho, Moscow, ID 83844, USA","active":true,"usgs":false}],"preferred":false,"id":874408,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70243159,"text":"70243159 - 2023 - Population Monitoring","interactions":[],"lastModifiedDate":"2023-05-02T12:13:32.883977","indexId":"70243159","displayToPublicDate":"2023-04-19T07:11:57","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"16","title":"Population Monitoring","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecology and Management of Black-tailed and Mule Deer of North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Routledge","usgsCitation":"Nowak, J.J., Hurley, M., Lukacs, P.M., Walsh, D.P., and White, C.L., 2023, Population Monitoring, chap. 16 <i>of</i> Ecology and Management of Black-tailed and Mule Deer of North America, p. 291-306.","productDescription":"16 p.","startPage":"291","endPage":"306","ipdsId":"IP-133975","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":416610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416598,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.routledge.com/Ecology-and-Management-of-Black-tailed-and-Mule-Deer-of-North-America/Heffelfinger-Krausman/p/book/9781032407609"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nowak, J. Joshua","contributorId":171707,"corporation":false,"usgs":false,"family":"Nowak","given":"J.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":871306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurley, Mark A.","contributorId":287804,"corporation":false,"usgs":false,"family":"Hurley","given":"Mark A.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":871307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lukacs, Paul M","contributorId":290592,"corporation":false,"usgs":false,"family":"Lukacs","given":"Paul","email":"","middleInitial":"M","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":871308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":871309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":871310,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70244005,"text":"70244005 - 2023 - Karst terrain promotes thermal resiliency in headwater streams","interactions":[],"lastModifiedDate":"2023-05-31T12:02:24.141945","indexId":"70244005","displayToPublicDate":"2023-04-19T06:58:16","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Karst terrain promotes thermal resiliency in headwater streams","docAbstract":"<p>The response of stream ecosystems to climate change will depend in part on groundwater processes that reduce the sensitivity of streams to atmospheric conditions. &nbsp;We investigated the thermal sensitivity of streams across a gradient of groundwater inputs defined by karst terrain (carbonate parent materials) in the headwaters of the Potomac River basin in eastern North America.&nbsp; We collected stream temperature data and quantified thermal sensitivity for 30 sites from the relationship between daily mean water and air temperatures.&nbsp; Our analysis demonstrates that thermal sensitivity is lower for streams in karst terrain than elsewhere, and that the effect of karst terrain is more important than effects of elevation or basin size in this regard.&nbsp; Our study indicates the importance of karstic groundwater for stream thermal resiliency and suggests the importance of riparian vegetation for maintaining stream temperatures elsewhere. Our study also provides a simple and rapid method for climate change research that can be implemented in conjunction with watershed organizations and citizen science networks.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the West Virginia Academy of Science","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"West Virginia Academy of Science","usgsCitation":"Kessler, K.G., Rogers, K.M., Marshak, C., and Hitt, N.P., 2023, Karst terrain promotes thermal resiliency in headwater streams, <i>in</i> Proceedings of the West Virginia Academy of Science, v. 95, no. 3, 8 p.","productDescription":"8 p.","ipdsId":"IP-144871","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":417568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417549,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pwvas.org/index.php/pwvas/article/view/947"}],"country":"United States","state":"West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.43083122514363,\n              39.72194367002291\n            ],\n            [\n              -78.43083122514363,\n              39.468004910183225\n            ],\n            [\n              -77.88158514397257,\n              39.468004910183225\n            ],\n            [\n              -77.88158514397257,\n              39.72194367002291\n            ],\n            [\n              -78.43083122514363,\n              39.72194367002291\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"95","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kessler, Karmann G. 0000-0001-5681-4909","orcid":"https://orcid.org/0000-0001-5681-4909","contributorId":242765,"corporation":false,"usgs":true,"family":"Kessler","given":"Karmann","email":"","middleInitial":"G.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Karli M. 0000-0002-6188-7405","orcid":"https://orcid.org/0000-0002-6188-7405","contributorId":237955,"corporation":false,"usgs":true,"family":"Rogers","given":"Karli","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshak, Charles","contributorId":292162,"corporation":false,"usgs":false,"family":"Marshak","given":"Charles","email":"","affiliations":[],"preferred":false,"id":874124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":874122,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70242936,"text":"70242936 - 2023 - A scuticociliate causes mass mortality of Diadema antillarum in the Caribbean Sea","interactions":[],"lastModifiedDate":"2023-04-24T11:27:05.24548","indexId":"70242936","displayToPublicDate":"2023-04-19T06:22:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"A scuticociliate causes mass mortality of Diadema antillarum in the Caribbean Sea","docAbstract":"<div>Echinoderm mass mortality events shape marine ecosystems by altering the dynamics among major benthic groups. The sea urchin<span>&nbsp;</span><i>Diadema antillarum</i>, virtually extirpated in the Caribbean in the early 1980s by an unknown cause, recently experienced another mass mortality beginning in January 2022. We investigated the cause of this mass mortality event through combined molecular biological and veterinary pathologic approaches comparing grossly normal and abnormal animals collected from 23 sites, representing locations that were either affected or unaffected at the time of sampling. Here, we report that a scuticociliate most similar to<span>&nbsp;</span><i>Philaster apodigitiformis</i><span>&nbsp;</span>was consistently associated with abnormal urchins at affected sites but was absent from unaffected sites. Experimentally challenging naïve urchins with a<span>&nbsp;</span><i>Philaster</i><span>&nbsp;</span>culture isolated from an abnormal, field-collected specimen resulted in gross signs consistent with those of the mortality event. The same ciliate was recovered from treated specimens postmortem, thus fulfilling Koch’s postulates for this microorganism. We term this condition<span>&nbsp;</span><i>D. antillarum</i><span>&nbsp;</span>scuticociliatosis.</div>","language":"English","publisher":"Science","doi":"10.1126/sciadv.adg3200","usgsCitation":"Hewson, I., Ritchie, I.T., Evans, J.S., Altera, A., Behringer, D., Bowman, E., Brandt, M.E., Budd, K.A., Camacho, R.A., Cornwell, T.O., Countway, P.D., Croquer, A., Delgado, G.A., DeRito, C.M., Duermit-Moreau, E., Francis-Floyd, R., Gittens, S., Henderson, L., Hylkema, A., Kellogg, C.A., Kiryu, Y., Kitson-Walters, K.A., Kramer, P., Lang, J.C., Lessios, H., Liddy, L., Marancik, D., Nimrod, S., Patterson, J.T., Pistor, M., Romero, I.C., Sellares-Blasco, R., Sevier, M.L., Sharp, W.C., Souza, M., Valdez-Trinidad, A., van der Laan, M., Vilanova-Cuevas, B., Villalpando, M., Von Hoene, S.D., Warham, M., Wijers, T., Williams, S.M., Work, T.M., Yanong, R.P., Zambrano, S., Zimmermann, A., and Breitbart, M., 2023, A scuticociliate causes mass mortality of Diadema antillarum in the Caribbean Sea: Science 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,{"id":70256463,"text":"70256463 - 2023 - Geographic distribution of the Puerto Rican Harlequin Butterfly (Atlantea tulita): An ensemble modeling approach","interactions":[],"lastModifiedDate":"2024-08-05T21:06:29.496411","indexId":"70256463","displayToPublicDate":"2023-04-18T15:59:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1185,"text":"Caribbean Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Geographic distribution of the Puerto Rican Harlequin Butterfly (Atlantea tulita): An ensemble modeling approach","docAbstract":"<p><span>Species distribution models have become increasingly important tools for species conservation. This modeling approach can help guide conservation practitioners and inform decisions. Distribution models are particularly relevant for rare species, whose habitat associations are often not well understood. Using species occurrence data, and a variety of predictor variables, we developed three individual distribution models and a weighted ensemble model for the Puerto Rican harlequin butterfly (</span><i>Atlantea tulita</i><span>). The ensemble model had the greatest accuracy (AUC = 0.92). Further, the ensemble model indicated 7.1% of the main island of Puerto Rico encompassed suitable habitat for the harlequin butterfly. However, only 0.5% was classified as including the greatest suitability. Using an ensemble modeling approach to delineate areas of the island with suitable environmental conditions may improve habitat conservation efforts for the species.</span></p>","language":"English","publisher":"University of Puerto Rico at Mayaguez","doi":"10.18475/cjos.v53i1.a3","usgsCitation":"Ramirez-Reyes, C., Vilella, F., Evans, K.O., Street, G., Pacheco, C., Monzon, O., and Morales Perez, A.L., 2023, Geographic distribution of the Puerto Rican Harlequin Butterfly (Atlantea tulita): An ensemble modeling approach: Caribbean Journal of Science, v. 53, no. 1, p. 37-44, https://doi.org/10.18475/cjos.v53i1.a3.","productDescription":"8 p.","startPage":"37","endPage":"44","ipdsId":"IP-149541","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Puerto 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O.","contributorId":340725,"corporation":false,"usgs":false,"family":"Evans","given":"Kristine","email":"","middleInitial":"O.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Street, Garrett","contributorId":340727,"corporation":false,"usgs":false,"family":"Street","given":"Garrett","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pacheco, Carlos","contributorId":340728,"corporation":false,"usgs":false,"family":"Pacheco","given":"Carlos","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":907489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monzon, Omar","contributorId":340731,"corporation":false,"usgs":false,"family":"Monzon","given":"Omar","email":"","affiliations":[{"id":81651,"text":"Para la Naturaleza","active":true,"usgs":false}],"preferred":false,"id":907490,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morales Perez, Alcides L.","contributorId":340733,"corporation":false,"usgs":false,"family":"Morales Perez","given":"Alcides","email":"","middleInitial":"L.","affiliations":[{"id":81651,"text":"Para la Naturaleza","active":true,"usgs":false}],"preferred":false,"id":907491,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70242796,"text":"sir20235037 - 2023 - Documentation of linear regression models for computing water-quality constituent concentrations using continuous real-time water-quality data for the North Fork Ninnescah River and Cheney Reservoir, Kansas, 2014–21","interactions":[],"lastModifiedDate":"2026-03-06T21:20:18.065954","indexId":"sir20235037","displayToPublicDate":"2023-04-18T10:53:24","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5037","displayTitle":"Documentation of Linear Regression Models for Computing Water-Quality Constituent Concentrations using Continuous Real-Time Water-Quality Data for the North Fork Ninnescah River and Cheney Reservoir, Kansas, 2014–21","title":"Documentation of linear regression models for computing water-quality constituent concentrations using continuous real-time water-quality data for the North Fork Ninnescah River and Cheney Reservoir, Kansas, 2014–21","docAbstract":"<p>Cheney Reservoir, in south-central Kansas, was constructed to provide a reliable municipal water supply for the city of Wichita, Kansas, and to provide downstream flood control, wildlife habitat, and recreation. Cheney Reservoir will continue to be important for municipal water supply use as needs increase with ongoing population growth and urban development. Advanced notification of changing water-quality conditions near water-treatment facility intakes and in source waters allows water-treatment facilities and resource planning officials to proactively monitor changing conditions. The U.S. Geological Survey (USGS), in cooperation with the City of Wichita, collected water-quality data at the North Fork Ninnescah River above Cheney Reservoir (USGS station 07144780) and Cheney Reservoir near Cheney, Kans. (USGS station 07144790), monitoring sites to update and develop regression models relating continuous water-quality constituents, streamflow, reservoir storage, and seasonal components to discretely sampled water-quality constituent concentrations of interest. Linear regression analysis was used to update and develop models for alkalinity, major ions, nutrients (nitrogen and phosphorus species), total and dissolved organic carbon, total suspended solids, suspended sediment, fecal indicator bacteria, and atrazine at the North Fork Ninnescah River site and total dissolved solids, major ions, hardness as calcium carbonate, nutrients (nitrogen and phosphorus species), chlorophyll <i>a</i>, and suspended sediment at the Cheney Reservoir site. New and updated models for both sites are applicable to the period of YSI EXO water-quality monitor and sensor deployment (November 14, 2015, through September 30, 2021, at the North Fork Ninnescah River site; October 1, 2014, through September 30, 2021, at the Cheney Reservoir site). Models and resulting water-quality information included in this report can be used in real time, potentially as guidance for water-treatment processes, and can be used to characterize changes in water-quality conditions over time in Cheney Reservoir and its contributing drainage basin provided that the deployed equipment, sensors, and location do not change.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235037","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Kramer, A.R., and Puls, K.A., 2023, Documentation of linear regression models for computing water-quality constituent concentrations using continuous real-time water-quality data for the North Fork Ninnescah River and Cheney Reservoir, Kansas, 2014–21: U.S. Geological Survey Scientific Investigations Report 2023–5037, 20 p., https://doi.org/10.3133/sir20235037.","productDescription":"Report: vii, 20 p.; 18 Appendixes; Dataset","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-145994","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":500907,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114680.htm","linkFileType":{"id":5,"text":"html"}},{"id":415924,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235037/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":415917,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2023/5037/downloads","text":"Appendixes 1–18"},{"id":415916,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5037/images"},{"id":415918,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":415915,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5037/sir20235037.XML","text":"Report","linkFileType":{"id":8,"text":"xml"}},{"id":415914,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5037/sir20235037.pdf","text":"Report","size":"1.91 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5037"},{"id":415913,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5037/coverthb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Cheney Reservoir, North Fork Ninnescah River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.75,\n              37.5\n            ],\n            [\n              -97.75,\n              38.1\n            ],\n            [\n              -99.1,\n              38.1\n            ],\n            [\n              -99.1,\n              37.5\n            ],\n            [\n              -97.75,\n              37.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/kswsc\" data-mce-href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS 66049</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Summary</li><li>References Cited</li><li>Appendixes 1–18. Model Archive Summaries for Regression Models</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-04-18","noUsgsAuthors":false,"publicationDate":"2023-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":869801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puls, Kyle A. 0000-0001-5600-8376 kpuls@usgs.gov","orcid":"https://orcid.org/0000-0001-5600-8376","contributorId":295394,"corporation":false,"usgs":true,"family":"Puls","given":"Kyle","email":"kpuls@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":869802,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70256532,"text":"70256532 - 2023 - Environment affects sucker catch rate, size structure, species composition, and precision in boat electrofishing samples","interactions":[],"lastModifiedDate":"2024-08-22T14:31:14.565236","indexId":"70256532","displayToPublicDate":"2023-04-18T09:25:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Environment affects sucker catch rate, size structure, species composition, and precision in boat electrofishing samples","docAbstract":"<p><span>Catostomidae (catostomids) are suckers of the order Cypriniformes, and the majority of species are native to North America; however, species in this group are understudied and rarely managed. The popularity in bowfishing and gigging for suckers in the United States has increased concerns related to overfishing. Little information exists about the relative gear effectiveness for sampling catostomids. We sought to evaluate the relative effectiveness of boat electrofishing for sampling Black Redhorse&nbsp;</span><i>Moxostoma duquesnei</i><span>, Golden Redhorse&nbsp;</span><i>M. erythrurum</i><span>, Northern Hogsucker&nbsp;</span><i>Hypentelium nigricans</i><span>, White Sucker&nbsp;</span><i>Catostomus commersonii</i><span>, and Spotted Sucker&nbsp;</span><i>Minytrema melanops</i><span>&nbsp;populations in Lake Eucha, Oklahoma. We used an information theoretic approach to determine the abiotic variables related to sucker catch per effort (</span><i>C</i><span>/</span><i>f</i><span>). Our analysis indicated that sucker&nbsp;</span><i>C</i><span>/</span><i>f</i><span>&nbsp;was highest during the night and decreased with increasing water temperature. Sucker size structure was significantly different between daytime and nighttime samples; however, effect size estimates for size structure comparisons indicated that size distributions exhibited moderate overlap. Distributional comparisons indicated that daytime and nighttime samples were similar for fish greater than 180 mm in total length. Effect size estimates also indicated little association between the proportion of each species captured and time of day or water temperature. Night electrofishing in reservoirs at water temperatures from 16 to 25°C yielded the most precise&nbsp;</span><i>C</i><span>/</span><i>f</i><span>&nbsp;estimates, with the highest numbers of suckers collected at water temperatures from 6 to 15°C. Further study of the relationship between abiotic variables and catostomid catchability using various gears will be beneficial to agencies interested in these populations.</span></p>","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-22-052","usgsCitation":"Zentner, D.L., Brewer, S.K., and Shoup, D.E., 2023, Environment affects sucker catch rate, size structure, species composition, and precision in boat electrofishing samples: Journal of Fish and Wildlife Management, v. 14, no. 1, p. 135-152, https://doi.org/10.3996/JFWM-22-052.","productDescription":"18 p.","startPage":"135","endPage":"152","ipdsId":"IP-140012","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443813,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-22-052","text":"Publisher Index Page"},{"id":433060,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Lake Eucha","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.93975036194603,\n              36.38140481612922\n            ],\n            [\n              -94.93850942940529,\n              36.36874724463541\n            ],\n            [\n              -94.92320459473427,\n              36.34776259578841\n            ],\n            [\n              -94.84802476496563,\n              36.32752008971409\n            ],\n            [\n              -94.80180002781772,\n              36.34526380928274\n            ],\n            [\n              -94.79642265347414,\n              36.35775675172556\n            ],\n            [\n              -94.84750770974023,\n              36.361753979640646\n            ],\n            [\n              -94.88763119522902,\n              36.37441109676014\n            ],\n            [\n              -94.93975036194603,\n              36.38140481612922\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Zentner, Douglas L.","contributorId":341038,"corporation":false,"usgs":false,"family":"Zentner","given":"Douglas","email":"","middleInitial":"L.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":907841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoup, D. E.","contributorId":341039,"corporation":false,"usgs":false,"family":"Shoup","given":"D.","email":"","middleInitial":"E.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907842,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252518,"text":"70252518 - 2023 - Understanding and mitigating thiaminase activity in silver carp","interactions":[],"lastModifiedDate":"2024-03-27T12:01:32.372688","indexId":"70252518","displayToPublicDate":"2023-04-18T06:59:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17334,"text":"Food Science","active":true,"publicationSubtype":{"id":10}},"title":"Understanding and mitigating thiaminase activity in silver carp","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>A deficiency of&nbsp;thiamine&nbsp;(vitamin B1), an essential cofactor for&nbsp;enzymes&nbsp;involved in metabolic processes, can be caused by the enzyme&nbsp;thiaminase. Thiaminase in food stocks has been linked to morbidity and mortality due to&nbsp;thiamine&nbsp;depletion in many ecologically and economically important species. Thiaminase activity has been detected in certain bacteria, plants, and fish species, including&nbsp;carp. The invasive silver carp (</span><i>Hypophthalmichthys molitrix)</i><span>&nbsp;presents an enormous burden to ecosystems throughout the Mississippi River watershed. Its large biomass and nutritional content offer an attractive possibility as a food source for&nbsp;humans, wild animals, or pets. Additionally, harvesting this fish could alleviate some of the effects of this species on waterways. However, the presence of&nbsp;thiaminase&nbsp;would detract from its value for dietary consumption. Here we confirm the presence of thiaminase in several tissues from silver carp, most notably the viscera, and systematically examine the effects of microwaving, baking, dehydrating, and freeze-drying on thiaminase activity. Certain temperatures and durations of baking and microwaving reduced thiaminase activity to undetectable levels. However, caution should be taken when carp tissue is concentrated by processes without sufficient heat treatment, such as freeze-drying or dehydration, which results in concentration, but not inactivation of the enzyme. The effects of such treatments on the ease of extracting proteins, including thiaminase, and the impact on data interpretation using the 4-nitrothiophenol (4-NTP) thiaminase assay were considered.</span></p></div></div><div id=\"abs0015\" class=\"abstract graphical\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.crfs.2023.100502","usgsCitation":"Wolfe, P.C., Tuske, A.M., Tillitt, D.E., Allen, F., and Edwards, K.A., 2023, Understanding and mitigating thiaminase activity in silver carp: Food Science, v. 6, 100502, 10 p., https://doi.org/10.1016/j.crfs.2023.100502.","productDescription":"100502, 10 p.","ipdsId":"IP-151402","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":443817,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crfs.2023.100502","text":"Publisher Index Page"},{"id":427137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wolfe, Patricia C.","contributorId":335080,"corporation":false,"usgs":false,"family":"Wolfe","given":"Patricia","email":"","middleInitial":"C.","affiliations":[{"id":37769,"text":"Binghamton University","active":true,"usgs":false}],"preferred":false,"id":897385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tuske, Amber M.","contributorId":335081,"corporation":false,"usgs":false,"family":"Tuske","given":"Amber","email":"","middleInitial":"M.","affiliations":[{"id":37769,"text":"Binghamton University","active":true,"usgs":false}],"preferred":false,"id":897386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":897387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Fred","contributorId":335089,"corporation":false,"usgs":false,"family":"Allen","given":"Fred","email":"","affiliations":[],"preferred":false,"id":897388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Katie A.","contributorId":335082,"corporation":false,"usgs":false,"family":"Edwards","given":"Katie","email":"","middleInitial":"A.","affiliations":[{"id":80304,"text":"RADii Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":897389,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242844,"text":"70242844 - 2023 - The invasive Asian benthic foraminifera Trochammina hadai Uchio, 1962: Identification of a new local in Normandy (France) and a discussion on its putative introduction pathways","interactions":[],"lastModifiedDate":"2023-04-20T11:44:23.128119","indexId":"70242844","displayToPublicDate":"2023-04-18T06:41:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"The invasive Asian benthic foraminifera Trochammina hadai Uchio, 1962: Identification of a new local in Normandy (France) and a discussion on its putative introduction pathways","docAbstract":"<div class=\"P-Article-Preview-Block\"><div class=\"P-Article-Preview-Block-Content\"><p data-obkms-id=\"666F0C65-7653-428F-8432-8A061930C69F\">The invasive benthic foraminifera<span>&nbsp;</span><i><span><span class=\"tn\" data-obkms-id=\"06884084-4D3B-4778-8C8D-9EC875D19A9C\" data-taxon-parsed-name=\"Trochammina hadai\"><span class=\"genus\">Trochammina</span>&nbsp;<span class=\"species\">hadai</span></span></span></i><span>&nbsp;</span>has been found for the first time in Europe along the coast of Normandy. Its native range of distribution is in Asia (Japan and Korea), and it has also been introduced along the coasts of western North America, Brazil and Australia. Morphological and molecular assessments confirm that specimens found in Le Havre and Caen-Ouistreham harbors belong to the Asiatic type. Like in Asia,<span>&nbsp;</span><i><span><span class=\"tn\" data-obkms-id=\"D4E3FD54-942A-4C24-BABC-F2478B5EA673\" data-taxon-parsed-name=\"Trochammina hadai\"><span class=\"genus\">T.</span>&nbsp;<span class=\"species\">hadai</span></span></span></i><span>&nbsp;</span>was found in transitional waters with muddy sediments. It exhibited high relative abundances (up to about 40%) confirming that<span>&nbsp;</span><i><span><span class=\"tn\" data-obkms-id=\"59DE106A-0616-4F9A-81C1-265229C6CCAE\" data-taxon-parsed-name=\"Trochammina hadai\"><span class=\"genus\">T.</span>&nbsp;<span class=\"species\">hadai</span></span></span></i><span>&nbsp;</span>is a highly competitive species. In the present study, it was nearly absent from natural transitional waters and very abundant in heavily modified habitats like harbors, suggesting that ballast waters may likely be the vector of introduction. It was not recorded farther north along the coast of the Hauts-de-France. It is further hypothesized that the finding of a few specimens outside the harbor may facilitate the expansion of<span>&nbsp;</span><i><span><span class=\"tn\" data-obkms-id=\"F9DC0E60-B8C6-441A-8964-F00A5F13665A\" data-taxon-parsed-name=\"Trochammina hadai\"><span class=\"genus\">T.</span>&nbsp;<span class=\"species\">hadai</span></span></span></i><span>&nbsp;</span>in the English Channel by means of propagules dispersion.</p></div></div>","language":"English","publisher":"Aquatic Invasions","doi":"10.3391/ai.2023.18.1.103512","usgsCitation":"Bouchet, V., Pavard, J., Holzmann, M., McGann, M., Armynot de Chatelet, E., Courleux, A., Pezy, J., Dauvin, J., and Seuront, L., 2023, The invasive Asian benthic foraminifera Trochammina hadai Uchio, 1962: Identification of a new local in Normandy (France) and a discussion on its putative introduction pathways: Aquatic Invasions, v. 18, no. 1, p. 23-38, https://doi.org/10.3391/ai.2023.18.1.103512.","productDescription":"16 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used?</li><li>PAD-US Vision Goals for 2023–2025</li><li>Get ready to submit your data!</li></ul>","publishedDate":"2023-04-17","noUsgsAuthors":false,"publicationDate":"2023-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Roger M. 0000-0002-7338-8064","orcid":"https://orcid.org/0000-0002-7338-8064","contributorId":298524,"corporation":false,"usgs":true,"family":"Johnson","given":"Roger","email":"","middleInitial":"M.","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":869756,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70255036,"text":"70255036 - 2023 - Investing in a nest egg: Intraspecific variation in the timing of egg laying across a latitudinal gradient","interactions":[],"lastModifiedDate":"2024-06-12T22:41:21.957647","indexId":"70255036","displayToPublicDate":"2023-04-17T17:39:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Investing in a nest egg: Intraspecific variation in the timing of egg laying across a latitudinal gradient","docAbstract":"<p><span>Avian reproductive strategies vary widely, and many studies of life-history variation have focused on the incubation and hatching stages of nesting. Birds make proximate decisions regarding reproductive investment during the laying stage, and these decisions likely constrain and tradeoff with other traits and subsequent behaviors. However, we know relatively little about egg-laying stage behaviors given the difficulty of locating and monitoring nest sites from the onset of laying. We used non-invasive continuous video recording to quantify variation in the egg-laying behaviors of burrowing owls (</span><i>Athene cunicularia)</i><span>&nbsp;along a 1400-km latitudinal gradient in western North America. Burrowing owls laid eggs disproportionately in the morning hours, and that tendency was strongest among first eggs in a clutch. However, selection appeared to act more strongly on laying intervals (the time between laying of consecutive eggs) than on the diel time of laying, and laying intervals varied widely among and within clutches. Laying intervals declined seasonally and with increasing clutch size but increased with increasing burrow temperature and as a function of laying stage nest attentiveness, which may be a strategy to preserve egg viability. Laying interval was positively correlated with the duration of hatching intervals, suggesting that laying interval duration is one mechanism (along with timing of incubation onset) that generates variation in hatching asynchrony. Our results lend support to two general hypotheses to explain laying schedules; selection favors laying eggs in the morning, but other selective pressures may override that pattern. These conclusions indicate that allocation decisions during laying are an important part of avian life-history strategies which are subject to energetic constraints and tradeoffs with other traits.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-023-05373-2","usgsCitation":"Lundblad, C., and Conway, C.J., 2023, Investing in a nest egg: Intraspecific variation in the timing of egg laying across a latitudinal gradient: Oecologia, v. 202, p. 83-96, https://doi.org/10.1007/s00442-023-05373-2.","productDescription":"14 p.","startPage":"83","endPage":"96","ipdsId":"IP-149162","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"202","noUsgsAuthors":false,"publicationDate":"2023-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundblad, Carl G.","contributorId":287176,"corporation":false,"usgs":false,"family":"Lundblad","given":"Carl G.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":903204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903205,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70242710,"text":"ofr20221120 - 2023 - Community for data integration 2019 project report","interactions":[],"lastModifiedDate":"2023-04-25T22:36:43.933116","indexId":"ofr20221120","displayToPublicDate":"2023-04-17T13:00:00","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":"2022-1120","displayTitle":"Community for Data Integration 2019 Project Report","title":"Community for data integration 2019 project report","docAbstract":"<p>The U.S. Geological Survey Community for Data Integration annually supports small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 14 projects supported in fiscal year 2019 and outlines their goals, activities, and accomplishments. Proposals in 2019 were encouraged to address the optional disciplinary theme of biosurveillance of emerging invasive species and health threats.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221120","programNote":"Science Synthesis, Analysis, and Research Program","usgsCitation":"Liford, A.N., Andrews, C.M., Bamzai, A., Bard, J.A., Blehert, D.S., Bradford, J.B., Daniel, W.M., Eldridge, S.L., Engel, F., Ferrante, J.A., Gilmer, A.K., Hunter, M.E., Jones, J.M., Letcher, B., Lightsom, F.L., McDonald, R.R., Morgan, L.E., Reed, S.C., and Hsu, L., 2023, Community for Data Integration 2019 project report: U.S. Geological Survey Open-File Report 2022–1120, 17 p., https://doi.org/10.3133/ofr20221120.","productDescription":"vi, 17 p.","onlineOnly":"Y","ipdsId":"IP-118731","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":416353,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20221120/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2022-1120"},{"id":416269,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1120/ofr20221120.xml"},{"id":416268,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1120/images"},{"id":415749,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1120/coverthb.jpg"},{"id":415750,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1120/ofr20221120.pdf","text":"Report","size":"15.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1120"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/programs/science-analytics-and-synthesis-sas/\" data-mce-href=\"https://www.usgs.gov/programs/science-analytics-and-synthesis-sas/\">Science Analytics and Synthesis</a><br>U.S. Geological Survey<br>P.O. Box 25046, Mail Stop 302<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Community for Data Integration Projects—Fiscal Year 2019 </li><li>Conclusion</li><li>References Cited</li></ul>","publishedDate":"2023-04-17","noUsgsAuthors":false,"publicationDate":"2023-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Liford, Amanda N. 0000-0002-6992-2543","orcid":"https://orcid.org/0000-0002-6992-2543","contributorId":257671,"corporation":false,"usgs":true,"family":"Liford","given":"Amanda","email":"","middleInitial":"N.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":869438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Caitlin M. 0000-0003-4593-1071 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A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":869441,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":869442,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":869443,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":222919,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":869444,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Caldwell Eldridge, Sara L. 0000-0001-8838-8940 seldridge@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-8940","contributorId":4981,"corporation":false,"usgs":true,"family":"Caldwell Eldridge","given":"Sara","email":"seldridge@usgs.gov","middleInitial":"L.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":869445,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Engel, Frank L. 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rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":869453,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":869454,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":869455,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hsu, Leslie 0000-0002-5353-807X lhsu@usgs.gov","orcid":"https://orcid.org/0000-0002-5353-807X","contributorId":191745,"corporation":false,"usgs":true,"family":"Hsu","given":"Leslie","email":"lhsu@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":869456,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70242599,"text":"ofr20231021 - 2023 - Forest structure and residual tree growth at the Northwest Gateway project area, Lassen Volcanic National Park, California","interactions":[],"lastModifiedDate":"2023-04-18T10:55:27.232143","indexId":"ofr20231021","displayToPublicDate":"2023-04-17T11:03:16","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":"2023-1021","displayTitle":"Forest Structure and Residual Tree Growth at the Northwest Gateway Project Area, Lassen Volcanic National Park, California","title":"Forest structure and residual tree growth at the Northwest Gateway project area, Lassen Volcanic National Park, California","docAbstract":"<p>Mechanical thinning and prescribed fire are common mitigation treatments to reduce fire hazards. However, these treatments are infrequently applied together within national parks. The Northwest Gateway project at Lassen Volcanic National Park is an exception to this pattern. Various thinning prescriptions were applied to the project area in 2014, with a subset of the area prescribed burned in 2018 and 2019. To determine responses to these treatments, we analyzed forest structure and fuels data across a network of long-term monitoring plots measured before treatments and in multiple years following treatments. Additionally, we assessed patterns in individual tree growth from cores taken from 101 individual yellow pines (ponderosa pine, <i>Pinus ponderosa</i> Douglas ex Lawson &amp; C. Lawson, and Jeffery pine, <i>P. jeffreyi</i> Grev. &amp; Balf.) within the project unit.</p><p>Basal area and stem density were reduced following thinning treatments for pole-sized (≤15-centimeter diameter at base height) and overstory trees (&gt;15-centimeter diameter at base height), with sharper reductions in pole-sized trees. Proportional change in live basal area after thinning was highest for pole-size <i>Abies</i>, with more than 80-percent basal area and stem density removed on average. There were large reductions in pole-sized <i>Pinus</i> and <i>Populus</i>. However, <i>Populus</i> trees were not targeted for removal, suggesting that these trees died via other mechanisms. Thinning treatments also resulted in reductions in stand density index values and in surface fuel loading when followed by prescribed fire, particularly for small fuels size classes (such as litter/duff, 1-hour, and 10-hour fuels). Growth of individual residual yellow pine, measured in terms of annual basal area increment, indicated a strong growth release in the years following thinning treatments.</p><p>Taken together, these results indicate that forest restoration treatments at the Northwest Gateway project area were effective at reducing stand density and encouraging growth of residual <i>Pinus</i>. Interestingly, our results also indicated that although thinning followed by prescribed fire was most effective at reducing surface fuel loads, harvest techniques such as whole tree yarding may effectively reduce the accumulation of post-treatment residual fuels, especially when combined with hand piling and other targeted treatments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231021","collaboration":"Prepared in cooperation with the National Park Service","programNote":"Ecosystems Mission Area—Land Management Research Program","usgsCitation":"Wright, M.C., van Mantgem, P.J., and Farris, C., 2023, Forest structure and residual tree growth at the Northwest Gateway project area, Lassen Volcanic National Park, California: U.S. Geological Survey Open-File Report 2023–1021, 23 p., https://doi.org/10.3133/ofr20231021","productDescription":"viii, 23 p.","numberOfPages":"23","onlineOnly":"Y","ipdsId":"IP-142044","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":415515,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1021/covrthb.jpg"},{"id":415516,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1021/ofr20231021.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":415517,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1021/ofr20231021.xml","size":"150 KB","linkFileType":{"id":8,"text":"xml"}},{"id":415518,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1021/images"},{"id":415520,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231021/full"}],"country":"United States","state":"California","otherGeospatial":"Lassen Volcanic National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.69387227125826,\n              40.64212267418216\n            ],\n            [\n              -121.69387227125826,\n              40.22418532217921\n            ],\n            [\n              -121.01850360817535,\n              40.22418532217921\n            ],\n            [\n              -121.01850360817535,\n              40.64212267418216\n            ],\n            [\n              -121.69387227125826,\n              40.64212267418216\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Conclusion</li><li>References Cited</li><li>Glossary</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-04-17","noUsgsAuthors":false,"publicationDate":"2023-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":869072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":869073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farris, Calvin","contributorId":50455,"corporation":false,"usgs":true,"family":"Farris","given":"Calvin","affiliations":[],"preferred":false,"id":869074,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70249502,"text":"70249502 - 2023 - Using integral projection models to explore management strategies for silver carp (Hypophthalmichthys molitrix)","interactions":[],"lastModifiedDate":"2023-10-12T13:34:14.562365","indexId":"70249502","displayToPublicDate":"2023-04-17T08:27:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17055,"text":"SPORA","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using integral projection models to explore management strategies for silver carp (<i>Hypophthalmichthys molitrix</i>)","title":"Using integral projection models to explore management strategies for silver carp (Hypophthalmichthys molitrix)","docAbstract":"<p><span>Silver carp (</span><i>Hypophthalmichthys molitrix</i><span>) are planktivorous fish that were originally introduced to the United States for use in fish production ponds and have since escaped these enclosures and are invading the Mississippi River Basin. The silver carp invasion of the Illinois River has a myriad of negative effects on native ecosystems. In this paper, we introduce key dependencies that are likely important in the population dynamics of silver carp: length-dependent egg production and density-dependent growth. Using movement data between two adjacent pools of the Illinois River, we conduct numerical simulations to explore the theoretical effect of harvesting and the use of movement barriers. Results of our model provide insights on how the number of silver carp may respond to movement barriers placed between adjacent harvesting sites.</span></p>","language":"English","publisher":"Illinois State University","doi":"10.30707/SPORA9.1.1681910439.35821","usgsCitation":"Coles, C., Balas, E., Peirce, J.P., Sandland, G., and Erickson, R.A., 2023, Using integral projection models to explore management strategies for silver carp (Hypophthalmichthys molitrix): SPORA, v. 9, no. 1, p. 37-48, https://doi.org/10.30707/SPORA9.1.1681910439.35821.","productDescription":"12 p.","startPage":"37","endPage":"48","ipdsId":"IP-142939","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":443822,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30707/spora9.1.1681910439.35821","text":"Publisher Index Page"},{"id":421886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coles, Cameron","contributorId":330805,"corporation":false,"usgs":false,"family":"Coles","given":"Cameron","email":"","affiliations":[{"id":79022,"text":"Central College (Iowa)","active":true,"usgs":false}],"preferred":false,"id":885968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balas, Elizabeth","contributorId":330806,"corporation":false,"usgs":false,"family":"Balas","given":"Elizabeth","email":"","affiliations":[{"id":79023,"text":"Susquehanna University","active":true,"usgs":false}],"preferred":false,"id":885969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peirce, James P 0000-0002-7147-3695","orcid":"https://orcid.org/0000-0002-7147-3695","contributorId":316559,"corporation":false,"usgs":false,"family":"Peirce","given":"James","email":"","middleInitial":"P","affiliations":[{"id":47908,"text":"University of Wisconsin - La Crosse","active":true,"usgs":false}],"preferred":false,"id":885970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandland, Greg J.","contributorId":190137,"corporation":false,"usgs":false,"family":"Sandland","given":"Greg J.","affiliations":[],"preferred":false,"id":885971,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":885972,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243164,"text":"70243164 - 2023 - Insectivorous bat foraging tracks the availability of aquatic flies (Diptera)","interactions":[],"lastModifiedDate":"2023-06-09T15:23:55.963016","indexId":"70243164","displayToPublicDate":"2023-04-17T07:02:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Insectivorous bat foraging tracks the availability of aquatic flies (Diptera)","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Rivers and their adjacent riparian zones are model ecosystems for observing cross-ecosystem energy transfers. Aquatic insects emerging from streams, for example, are resource subsidies that support riparian consumers such as birds, spiders, lizards, and bats. We collaborated with recreational river runners in Grand Canyon, Arizona, USA, to record acoustic bat activity and sample riparian insects using light traps at dusk from April through October 2017–2020. River runners collected these data on 1,428 events over 611 sampling nights at 410 sites throughout a 470-km segment of the Colorado River. We documented 71 insect taxa in light traps and recorded 19 bat species with acoustic detectors. We hypothesized that bat activity along this highly regulated river segment would be influenced primarily by variation in prey availability, as compared to other habitat descriptors. We predicted that bat activity would be positively related to aquatic insect catch rates and unrelated to terrestrial insect abundance. We fit Bayesian regression models to test these hypotheses and to quantify the relationship between bat activity and a suite of environmental variables: time of year, time of day, distance from perennial tributaries, distance from rapids, channel width, geomorphic reach, tall vegetation cover, air temperature, and lunar phase. Bat activity was positively related to the abundance of aquatic flies (Diptera), which outcompeted all other prey categories and structural habitat descriptors in our models. Within our dusk sampling period, activity of small myotis (California myotis [<i>Myotis californicus</i>] and Yuma myotis [<i>M. yumanensis</i>]) was high late in the evening and canyon bats (<i>Parastrellus hesperus</i>), conversely, were more active early in the evening. Activity of canyon bats varied seasonally, with peak activity in August. Our results support the hypothesis that aquatic prey, specifically aquatic flies, are key predictors of bat activity along a large, regulated river corridor and demonstrate the power of community science as a tool for ecosystem monitoring.</p></div></div>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22414","usgsCitation":"Metcalfe, A., Fritzinger, C., Weller, T.J., Dodrill, M., Muehlbauer, J., Yackulic, C., Holton, B.P., Szydlo, C.M., Durning, L., Sankey, J., and Kennedy, T., 2023, Insectivorous bat foraging tracks the availability of aquatic flies (Diptera): Journal of Wildlife Management, v. 87, no. 5, e22414, 15 p., https://doi.org/10.1002/jwmg.22414.","productDescription":"e22414, 15 p.","ipdsId":"IP-145664","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":443824,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22414","text":"Publisher Index Page"},{"id":435368,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R3HLVZ","text":"USGS data release","linkHelpText":"Bat activity and insect abundance data along the Colorado River in Grand Canyon, AZ"},{"id":416609,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Metcalfe, Anya 0000-0002-6286-4889","orcid":"https://orcid.org/0000-0002-6286-4889","contributorId":221738,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Anya","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":871315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritzinger, Carol","contributorId":303018,"corporation":false,"usgs":false,"family":"Fritzinger","given":"Carol","email":"","affiliations":[{"id":65611,"text":"formerly: US Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":871316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weller, Theodore J.","contributorId":105961,"corporation":false,"usgs":false,"family":"Weller","given":"Theodore","email":"","middleInitial":"J.","affiliations":[{"id":13261,"text":"USDA Forest Service, Pacific Southwest Research Station, Davis, California","active":true,"usgs":false}],"preferred":false,"id":871317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dodrill, Michael J. 0000-0002-7038-7170","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":206439,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":871318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":871319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":871320,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holton, Brandon P.","contributorId":245212,"corporation":false,"usgs":false,"family":"Holton","given":"Brandon","email":"","middleInitial":"P.","affiliations":[{"id":49123,"text":"NPS - Grand Canyon National Park","active":true,"usgs":false}],"preferred":false,"id":871321,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Szydlo, Cheyenne Maxime 0000-0003-4818-2395","orcid":"https://orcid.org/0000-0003-4818-2395","contributorId":297340,"corporation":false,"usgs":true,"family":"Szydlo","given":"Cheyenne","email":"","middleInitial":"Maxime","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":871322,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Durning, Laura E. 0000-0003-3282-2458","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":177023,"corporation":false,"usgs":false,"family":"Durning","given":"Laura E.","affiliations":[],"preferred":false,"id":871323,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":871324,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":871325,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70242805,"text":"70242805 - 2023 - Water balance characterization of the early 21st century drought in the western United States","interactions":[],"lastModifiedDate":"2023-10-11T15:18:03.109233","indexId":"70242805","displayToPublicDate":"2023-04-17T06:41:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Water balance characterization of the early 21st century drought in the western United States","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Monthly temperature and precipitation data for 923 United States Geological Survey 8-digit hydrologic units are used as inputs to a monthly water balance model to compute monthly actual evapotranspiration, soil moisture storage, and runoff across the western United States (U.S.) for the period 1900 through 2020. Time series of these water balance variables are examined to characterize and explain the dry conditions across the western U.S. since the year 2000. Results indicate that although precipitation deficits account for most of the changes in actual evapotranspiration and runoff, increases in temperature primarily explain decreases in soil moisture storage. Specifically, temperature has been particularly impactful on the magnitude of negative departures of soil moisture storage during the spring (April through June) and summer (July through September) seasons. These effects on soil moisture may be particularly detrimental to agriculture in regions already stressed by drought such as the western U.S.</p></div></div>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.13125","usgsCitation":"McCabe, G.J., and Wolock, D.M., 2023, Water balance characterization of the early 21st century drought in the western United States: Journal of the American Water Resources Association, v. 59, no. 5, p. 1041-1050, https://doi.org/10.1111/1752-1688.13125.","productDescription":"10 p.","startPage":"1041","endPage":"1050","ipdsId":"IP-140214","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":415990,"rank":1,"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              -126.4892061876989,\n              49.92284638113864\n            ],\n            [\n              -126.4892061876989,\n              28.276277665450777\n            ],\n            [\n              -99.43053324726917,\n              28.276277665450777\n            ],\n            [\n              -99.43053324726917,\n              49.92284638113864\n            ],\n            [\n              -126.4892061876989,\n              49.92284638113864\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":869829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":219213,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":869830,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70247001,"text":"70247001 - 2023 - Waterfalls in reservoirs: Tracking the development of nickpoints in the sediments of declining reservoirs","interactions":[],"lastModifiedDate":"2023-07-21T21:41:31.408984","indexId":"70247001","displayToPublicDate":"2023-04-15T16:34:56","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Waterfalls in reservoirs: Tracking the development of nickpoints in the sediments of declining reservoirs","docAbstract":"<p>Recent drought has resulted in dramatic lowering of the two largest water-storage reservoirs in the western United States: Lake Powell and Lake Mead. These decreases in reservoir elevations have resulted in the re-emergence of over 100 km of the Colorado and San Juan rivers at the upstream end of Lake Powell and over 80 km of the Colorado River at the upstream end of Lake Mead. Upon reservoir lowering, the rivers cut into the lake and delta deposits sometimes establishing a course different than the path of the historical channel. In two locations, the rivers have encountered resistant bedrock resulting in the formation of rapids or waterfalls. In a third location, on the Colorado River arm of Lake Powell near the mouth of the Dirty Devil River, a knickpoint is just beginning to form and a new rapid or waterfall may result if water levels continue to drop. We present repeat measurements with multibeam sonar of the riverbed at this location to document scour at the site of nickpoint formation. Between initial measurements made in October 2020 and the most recent measurements made in May 2022, the riverbed scoured by up to 11 m as the level of Lake Powell dropped by more than 18 m. These knickpoints in former reservoirs have several implications for river and reservoir management, including effects on river dynamics and upstream river ecosystems, impacts to river and reservoir navigation, and the formation of ecological barriers.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD","conferenceDate":"May 8-12, 2023","conferenceLocation":"St Louis, MO","language":"English","publisher":"SEDHYD","usgsCitation":"Grams, P.E., and Tusso, R.B., 2023, Waterfalls in reservoirs: Tracking the development of nickpoints in the sediments of declining reservoirs, <i>in</i> Proceedings of SEDHYD 2023, St Louis, MO, May 8-12, 2023, 10 p.","productDescription":"10 p.","ipdsId":"IP-148667","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":419232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419216,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s45.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.36909690785532,\n              37.89525601927576\n            ],\n            [\n              -110.41391436359932,\n              37.89525601927576\n            ],\n            [\n              -110.41391436359932,\n              37.874836395269284\n            ],\n            [\n              -110.36909690785532,\n              37.874836395269284\n            ],\n            [\n              -110.36909690785532,\n              37.89525601927576\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":878514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tusso, Robert B. 0000-0001-7541-3713 rtusso@usgs.gov","orcid":"https://orcid.org/0000-0001-7541-3713","contributorId":4079,"corporation":false,"usgs":true,"family":"Tusso","given":"Robert","email":"rtusso@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":878515,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70247308,"text":"70247308 - 2023 - Evaluating methods for applying fouling attenuation shifts to acoustic backscatter data used in suspended-sediment computations","interactions":[],"lastModifiedDate":"2023-07-27T16:53:25.730843","indexId":"70247308","displayToPublicDate":"2023-04-15T11:52:49","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluating methods for applying fouling attenuation shifts to acoustic backscatter data used in suspended-sediment computations","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD","conferenceDate":"May 8-12, 2023","conferenceLocation":"St. Louis, MO","language":"English","publisher":"SEDHYD","usgsCitation":"Lucena, Z., Lee, M.T., and East, J.W., 2023, Evaluating methods for applying fouling attenuation shifts to acoustic backscatter data used in suspended-sediment computations, <i>in</i> Proceedings of SEDHYD 2023, St. Louis, MO, May 8-12, 2023, 19 p.","productDescription":"19 p.","ipdsId":"IP-149116","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":419403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419374,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s19.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94,\n              30.5\n            ],\n            [\n              -98,\n              30.5\n            ],\n            [\n              -98,\n              27.5\n            ],\n            [\n              -94,\n              27.5\n            ],\n            [\n              -94,\n              30.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lucena, Zulimar 0000-0002-1682-2661 zlucena@usgs.gov","orcid":"https://orcid.org/0000-0002-1682-2661","contributorId":178284,"corporation":false,"usgs":true,"family":"Lucena","given":"Zulimar","email":"zlucena@usgs.gov","affiliations":[],"preferred":true,"id":879169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Michael T. 0000-0002-8260-8794 mtlee@usgs.gov","orcid":"https://orcid.org/0000-0002-8260-8794","contributorId":4228,"corporation":false,"usgs":true,"family":"Lee","given":"Michael","email":"mtlee@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"East, Jeffery W. 0000-0003-1115-3638 jweast@usgs.gov","orcid":"https://orcid.org/0000-0003-1115-3638","contributorId":317723,"corporation":false,"usgs":true,"family":"East","given":"Jeffery","email":"jweast@usgs.gov","middleInitial":"W.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879171,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70238952,"text":"70238952 - 2023 - The evolution of natural and developed barriers under accelerating sea levels","interactions":[],"lastModifiedDate":"2023-04-26T14:21:39.87027","indexId":"70238952","displayToPublicDate":"2023-04-15T11:05:43","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The evolution of natural and developed barriers under accelerating sea levels","docAbstract":"<p><span>Communities residing on barrier islands depend upon the ability of barriers to withstand forcings such as waves, sea-level rise, and storms, particularly under stresses from climate change. Using a barrier island evolution model, we compare barrier response to linear versus accelerating sea-level rise. Results suggest that barriers are more likely to drown under accelerating rather than linear sea-level rise. The dominant style of barrier drowning also shifts from width drowning to height drowning. When our model of barrier evolution is coupled with a myopic economic decision-making model for beach nourishment and managed retreat, the general coastal management behavior is unchanged. However, the timing and position at which interventions are made differ. Therefore, decisions based on the assumption of constant sea-level rise rates rather than increasing rates may result in actions that are detrimental to communities and potentially reduce the barrier’s ability to maintain its subaerial landform.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the coastal sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, LA","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0008","usgsCitation":"Palermo, R.E., Ashton, A.D., Jin, D., Hoagland, P., and Lorenzo-Trueba, J., 2023, The evolution of natural and developed barriers under accelerating sea levels, <i>in</i> The proceedings of the coastal sediments 2023, New Orleans, LA, April 11-15, 2023, p. 77-89, https://doi.org/10.1142/9789811275135_0008.","productDescription":"13 p.","startPage":"77","endPage":"89","ipdsId":"IP-147679","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":416252,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Palermo, Rose Elizabeth 0000-0002-7438-361X","orcid":"https://orcid.org/0000-0002-7438-361X","contributorId":300046,"corporation":false,"usgs":true,"family":"Palermo","given":"Rose","email":"","middleInitial":"Elizabeth","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":859335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashton, Andrew D.","contributorId":300047,"corporation":false,"usgs":false,"family":"Ashton","given":"Andrew","email":"","middleInitial":"D.","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":859336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jin, Di","contributorId":300048,"corporation":false,"usgs":false,"family":"Jin","given":"Di","email":"","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":859337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoagland, Porter","contributorId":300049,"corporation":false,"usgs":false,"family":"Hoagland","given":"Porter","email":"","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":859338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorenzo-Trueba, Jorge","contributorId":297143,"corporation":false,"usgs":false,"family":"Lorenzo-Trueba","given":"Jorge","affiliations":[{"id":36592,"text":"Montclair State University","active":true,"usgs":false}],"preferred":false,"id":859339,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242719,"text":"70242719 - 2023 - Stream corridor sources of suspended sediment and sediment-bound phosphorus from an urban tributary to the Great Lakes","interactions":[],"lastModifiedDate":"2023-07-17T15:55:30.600652","indexId":"70242719","displayToPublicDate":"2023-04-15T10:46:20","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Stream corridor sources of suspended sediment and sediment-bound phosphorus from an urban tributary to the Great Lakes","docAbstract":"<p>Potential sources of suspended sediment and sediment-bound phosphorus (sedP) were studied in the Kinnickinnic River (51 square kilometers), a heavily urbanized tributary to Lake Michigan (90% urban land use) in Milwaukee, Wisconsin. The river is 60% concrete lined channels, with few unlined reaches. From September 2019 through August 2020, an integrated study of sediment budget and sediment fingerprinting was conducted to quantify upland and stream corridor sources of suspended sediment and sedP using Sediment Source Assessment Tool (SedSAT) methods with a suite of trace elements. Passive suspended sediment samplers were installed at three sites. Soft, fine-grained streambed sediment was collected at 10 rapid geomorphic assessment (RGA) sites. An inventory of bank erosion and soft-sediment deposition was done at each of the 18 RGA sites, which were selected to represent a range of stream sizes and geomorphic conditions. Sources of suspended sediment varied with streamflow; the primary source was from roadways in residential areas followed by eroding streambanks. Industrial/commercial areas contributed 1% of the suspended sediment at the streamgage during the study period, whereas green space contributed 18% of the suspended sediment at a mid-basin monitoring location downstream of an unlined reach. The dominant sources of streambed sediment, like suspended sediment, throughout the basin were eroding banks and residential areas, with green space and industrial/commercial area signatures present locally. In contrast with previous studies in agricultural and mixed-use basins, the urban Kinnickinnic River had limited storage of soft sediment, due to the hydrologically flashy system and concrete lined channels. However, eroding streambank sources contribute 50% of the streambed sediment, but only 9% of suspended sediment within this tributary to the Great Lakes. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD","conferenceDate":"May 8-12, 2023","conferenceLocation":"St. Louis, MO","language":"English","publisher":"SEDHYD","usgsCitation":"Blount, J.D., Lenoch, L., and Fitzpatrick, F., 2023, Stream corridor sources of suspended sediment and sediment-bound phosphorus from an urban tributary to the Great Lakes, <i>in</i> Proceedings of SEDHYD 2023, St. Louis, MO, May 8-12, 2023, 15 p.","productDescription":"15 p.","ipdsId":"IP-148078","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":419006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":415763,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s264.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","otherGeospatial":"Kinnickinnic River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.01,\n              43.02\n            ],\n            [\n              -88.01,\n              42.95\n            ],\n            [\n              -87.85,\n              42.95\n            ],\n            [\n              -87.85,\n              43.02\n            ],\n            [\n              -88.01,\n              43.02\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blount, James D. 0000-0002-0006-3947 jblount@usgs.gov","orcid":"https://orcid.org/0000-0002-0006-3947","contributorId":200231,"corporation":false,"usgs":true,"family":"Blount","given":"James","email":"jblount@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lenoch, Leah 0000-0003-4613-0858","orcid":"https://orcid.org/0000-0003-4613-0858","contributorId":270181,"corporation":false,"usgs":true,"family":"Lenoch","given":"Leah","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209444,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869478,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70232702,"text":"70232702 - 2023 - Numerical model characterization of sediment transport potentials pre- and post-construction of an artificial island in Foggy Island Bay, Alaska","interactions":[],"lastModifiedDate":"2023-04-27T14:19:55.329084","indexId":"70232702","displayToPublicDate":"2023-04-15T10:43:36","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Numerical model characterization of sediment transport potentials pre- and post-construction of an artificial island in Foggy Island Bay, Alaska","docAbstract":"<p><span>The anticipated construction of the Liberty Development Island near Prudhoe Bay, Alaska, has created a need to understand how the island may influence sediment transport patterns and deposition on the nearby Boulder Patch ecosystem. This study uses a numerical model to characterize sediment transport pathways in Foggy Island Bay with and without the artificial island in place. We present the Delft3D-based model setup and application that yields an improved quantification and understanding of the region’s hydrodynamic, wave, and sediment transport patterns. The results for the present show mainly east-west directed, alongshore transport of silt and clay. Insertion of the planned island results in limited changes to the overall hydrodynamic and sediment transport patterns within the Bay but reverses erosional tendencies across a boulder patch, situated within a kilometer of the planned construction location, to being net depositional.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the coastal sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, LA","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0045","usgsCitation":"Nederhoff, C.M., Erikson, L.H., Engelstad, A.C., and Pearson, S., 2023, Numerical model characterization of sediment transport potentials pre- and post-construction of an artificial island in Foggy Island Bay, Alaska, <i>in</i> The proceedings of the coastal sediments 2023, New Orleans, LA, April 11-15, 2023, p. 487-496, https://doi.org/10.1142/9789811275135_0045.","productDescription":"10 p.","startPage":"487","endPage":"496","ipdsId":"IP-142502","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":416384,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Foggy Island Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -147.72875527390383,\n              70.2158827003305\n            ],\n            [\n              -147.72875527390383,\n              70.1980805800392\n            ],\n            [\n              -147.66538717065322,\n              70.1980805800392\n            ],\n            [\n              -147.66538717065322,\n              70.2158827003305\n            ],\n            [\n              -147.72875527390383,\n              70.2158827003305\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Nederhoff, Cornelis M. 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":265889,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Cornelis","email":"","middleInitial":"M.","affiliations":[{"id":33886,"text":"Deltares USA","active":true,"usgs":false}],"preferred":true,"id":846335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":846336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engelstad, Anita C 0000-0002-0211-4189","orcid":"https://orcid.org/0000-0002-0211-4189","contributorId":268303,"corporation":false,"usgs":true,"family":"Engelstad","given":"Anita","email":"","middleInitial":"C","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":846337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Stuart 0000-0002-3986-4469","orcid":"https://orcid.org/0000-0002-3986-4469","contributorId":245646,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","email":"","affiliations":[{"id":49245,"text":"Delft University of Technology; Deltares","active":true,"usgs":false}],"preferred":false,"id":846338,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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