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The Northwest Atlantic population of Loggerhead Sea Turtles (Caretta caretta) is one of the largest C. caretta populations in the world and is listed as threatened. This population was divided into five genetically distinct subpopulations, including the Northern Gulf of Mexico (NGoM) subpopulation (Shamblin et al. 2017 Mar. Bio. 164:138). Across the NGoM, the majority of C. caretta nesting occurs in Franklin and Gulf Counties, Florida, USA (Florida Fish and Wildlife Conservation Commission, https://myfwc.com/research/wildlife/sea-turtles/nesting/nesting-atlas/). Few C. caretta nests are documented on Texas, USA, beaches and as such, less is known about the individuals that nest in Texas (see Shaver et al. 2020 Front. Mar. Sci. 7:1, Frandsen et al. 2020 Herp. Review 51:825) as compared to those that nest on beaches in the eastern part of the range (Lamont et al. 2014 Mar. Bio. 161:2659). Although C. caretta individuals have been tracked to Texas from nesting beaches throughout the Southeastern USA (Hart et al. 2014, PLoS One, 9), movements of C. caretta away from Texas beaches are rare. Here we detail the exchange of an adult female C. caretta that emerged and was tagged on the beach in Texas and then subsequently documented nesting in Northwest Florida.

","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Lamont, M., Walker, J.S., and Shaver, D.J., 2022, Caretta caretta (Loggerhead Sea Turtle) nesting exchange: Herpetological Review, v. 52, no. 3, p. 626-627.","productDescription":"2 p.","startPage":"626","endPage":"627","ipdsId":"IP-128942","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":398308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.086181640625,\n 26.15543796871355\n ],\n [\n -97.31689453125,\n 27.21555620902969\n ],\n [\n -96.207275390625,\n 28.372068829631633\n ],\n [\n -94.6142578125,\n 29.334298230315675\n ],\n [\n -93.85620117187499,\n 29.69759650228319\n ],\n [\n -94.22973632812499,\n 29.897805610155874\n ],\n [\n -95.020751953125,\n 29.850173125689896\n ],\n [\n -95.44921875,\n 29.152161283318915\n ],\n [\n -96.45996093749999,\n 28.76765910569123\n ],\n [\n -97.03125,\n 28.38173504322308\n ],\n [\n -97.72338867187499,\n 27.332735136859146\n ],\n [\n -97.503662109375,\n 26.086388149394875\n ],\n [\n -97.086181640625,\n 26.15543796871355\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206817,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Jennifer S.","contributorId":289853,"corporation":false,"usgs":false,"family":"Walker","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":839928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaver, Donna J.","contributorId":191186,"corporation":false,"usgs":false,"family":"Shaver","given":"Donna","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":839929,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70262180,"text":"70262180 - 2022 - Characteristics of day-roosts used by the Northern Long-eared Bat (Myotis septentrionalis) in coastal New York","interactions":[],"lastModifiedDate":"2025-01-15T17:28:12.077821","indexId":"70262180","displayToPublicDate":"2022-01-01T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics of day-roosts used by the Northern Long-eared Bat (Myotis septentrionalis) in coastal New York","docAbstract":"

In North America, Myotis septentrionalis (Northern Long-eared Bat) has experienced precipitous declines from white-nose syndrome. As these bats become rare and difficult to capture, additional day-roost assessments to inform management may fill gaps in our understanding, particularly in habitats and regions where such roosts have never been surveyed. Over 2 summers, we radio-tracked 16 individuals from a maternity colony on Long Island, NY, in a small forested patch surrounded by development and ocean. These bats disproportionately selected small, suppressed Robinia pseudoacacia (Black Locust) trees or snags for roosting. Generally, roosts occurred within the interior or edges of this forest patch, rather than surrounding suburbia, reinforcing the hypothesis that Northern Long-eared Bats are forest adapted. Our study shows even small tracts of forest in coastal, urban areas may have conservation value in providing day-roost and foraging habitat.

","language":"English","publisher":"BioOne","doi":"10.1656/045.029.0201","usgsCitation":"Gorman, K., Barr, E., Nocera, T., and Ford, W., 2022, Characteristics of day-roosts used by the Northern Long-eared Bat (Myotis septentrionalis) in coastal New York: Northeastern Naturalist, v. 29, no. 2, p. 153-170, https://doi.org/10.1656/045.029.0201.","productDescription":"18 p.","startPage":"153","endPage":"170","ipdsId":"IP-136323","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467208,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/115419","text":"External Repository"},{"id":466440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"William Floyd Estate","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.72251752158608,\n 40.84983594633641\n ],\n [\n -72.72251752158608,\n 40.79368888019977\n ],\n [\n -72.58103774780037,\n 40.79368888019977\n ],\n [\n -72.58103774780037,\n 40.84983594633641\n ],\n [\n -72.72251752158608,\n 40.84983594633641\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"29","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gorman, Katherine M.","contributorId":348338,"corporation":false,"usgs":false,"family":"Gorman","given":"Katherine M.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":923374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barr, Elaine L.","contributorId":348339,"corporation":false,"usgs":false,"family":"Barr","given":"Elaine L.","affiliations":[{"id":83337,"text":"Ohio River Islands National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":923375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nocera, Tomas","contributorId":348341,"corporation":false,"usgs":false,"family":"Nocera","given":"Tomas","affiliations":[{"id":83338,"text":"U.S. Army Garrison Fort Belvoir","active":true,"usgs":false}],"preferred":false,"id":923376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":923377,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227194,"text":"70227194 - 2022 - Mismatch-induced growth reductions in a clade of Arctic-breeding shorebirds are rarely mitigated by increasing temperatures","interactions":[],"lastModifiedDate":"2022-01-25T17:38:33.909532","indexId":"70227194","displayToPublicDate":"2021-12-04T08:55:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Mismatch-induced growth reductions in a clade of Arctic-breeding shorebirds are rarely mitigated by increasing temperatures","docAbstract":"

In seasonal environments subject to climate change, organisms typically show phenological changes. As these changes are usually stronger in organisms at lower trophic levels than those at higher trophic levels, mismatches between consumers and their prey may occur during the consumers’ reproduction period. While in some species a trophic mismatch induces reductions in offspring growth, this is not always the case. This variation may be caused by the relative strength of the mismatch, or by mitigating factors like increased temperature-reducing energetic costs. We investigated the response of chick growth rate to arthropod abundance and temperature for six populations of ecologically similar shorebirds breeding in the Arctic and sub-Arctic (four subspecies of Red Knot Calidris canutus, Great Knot C. tenuirostris and Surfbird C. virgata). In general, chicks experienced growth benefits (measured as a condition index) when hatching before the seasonal peak in arthropod abundance, and growth reductions when hatching after the peak. The moment in the season at which growth reductions occurred varied between populations, likely depending on whether food was limiting growth before or after the peak. Higher temperatures led to faster growth on average, but could only compensate for increasing trophic mismatch for the population experiencing the coldest conditions. We did not find changes in the timing of peaks in arthropod availability across the study years, possibly because our series of observations was relatively short; timing of hatching displayed no change over the years either. Our results suggest that a trend in trophic mismatches may not yet be evident; however, we show Arctic-breeding shorebirds to be vulnerable to this phenomenon and vulnerability to depend on seasonal prey dynamics.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16025","usgsCitation":"Lameris, T., Tomkovich, P.S., Johnson, J., Morrison, R.G., Decicco, L., Dementyev, M.N., Tulp, I., Lisovski, S., Gill, R., ten Horn, J., Piersma, T., Pohlen, Z., Schekkerman, H., Soloviev, M., Syroechkovsky, E., van Gils, J.A., and Zhemchuzhnikov, M., 2022, Mismatch-induced growth reductions in a clade of Arctic-breeding shorebirds are rarely mitigated by increasing temperatures: Global Change Biology, v. 28, no. 3, p. 829-847, https://doi.org/10.1111/gcb.16025.","productDescription":"19 p.","startPage":"829","endPage":"847","ipdsId":"IP-135408","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":449466,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.16025","text":"External Repository"},{"id":436033,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VDI8RZ","text":"USGS data release","linkHelpText":"Measurements of Surfbirds (Calidris virgata), Southcentral Alaska 1997-1999"},{"id":393853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Russia, United States","volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Lameris, Thomas","contributorId":270786,"corporation":false,"usgs":false,"family":"Lameris","given":"Thomas","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":830037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomkovich, Pavel S.","contributorId":55333,"corporation":false,"usgs":false,"family":"Tomkovich","given":"Pavel","email":"","middleInitial":"S.","affiliations":[{"id":6930,"text":"Zoological Museum of Moscow, MV Lomonosov University, Moscow, Russia","active":true,"usgs":false}],"preferred":false,"id":830094,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, James A.","contributorId":84649,"corporation":false,"usgs":true,"family":"Johnson","given":"James A.","affiliations":[],"preferred":false,"id":830095,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morrison, R.I. Guy","contributorId":173839,"corporation":false,"usgs":false,"family":"Morrison","given":"R.I.","email":"","middleInitial":"Guy","affiliations":[],"preferred":false,"id":830096,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Decicco, Lucas","contributorId":270833,"corporation":false,"usgs":false,"family":"Decicco","given":"Lucas","affiliations":[],"preferred":false,"id":830097,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dementyev, Maksim N.","contributorId":138560,"corporation":false,"usgs":false,"family":"Dementyev","given":"Maksim","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":830098,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tulp, Ingrid","contributorId":243504,"corporation":false,"usgs":false,"family":"Tulp","given":"Ingrid","email":"","affiliations":[],"preferred":false,"id":830099,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":830038,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lisovski, Simeon","contributorId":213809,"corporation":false,"usgs":false,"family":"Lisovski","given":"Simeon","email":"","affiliations":[{"id":38883,"text":"Schweizerische Vogelwarte","active":true,"usgs":false}],"preferred":false,"id":830100,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"ten Horn, Job","contributorId":209707,"corporation":false,"usgs":false,"family":"ten Horn","given":"Job","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":830101,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Piersma, Theunis","contributorId":45863,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":830102,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pohlen, Z.","contributorId":243268,"corporation":false,"usgs":false,"family":"Pohlen","given":"Z.","email":"","affiliations":[],"preferred":false,"id":830103,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schekkerman, Hans","contributorId":243495,"corporation":false,"usgs":false,"family":"Schekkerman","given":"Hans","email":"","affiliations":[],"preferred":false,"id":830104,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Soloviev, Mikhail","contributorId":209711,"corporation":false,"usgs":false,"family":"Soloviev","given":"Mikhail","email":"","affiliations":[{"id":37973,"text":"Department of Vertebrate Zoology, Biological Faculty, Lomonosov Moscow State University","active":true,"usgs":false}],"preferred":false,"id":830105,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Syroechkovsky, E.","contributorId":58976,"corporation":false,"usgs":true,"family":"Syroechkovsky","given":"E.","email":"","affiliations":[],"preferred":false,"id":830106,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"van Gils, Jan A.","contributorId":141170,"corporation":false,"usgs":false,"family":"van Gils","given":"Jan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":830039,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zhemchuzhnikov, Mikhail","contributorId":270834,"corporation":false,"usgs":false,"family":"Zhemchuzhnikov","given":"Mikhail","email":"","affiliations":[],"preferred":false,"id":830107,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70226723,"text":"70226723 - 2022 - The silence of the clams: Forestry registered pesticides as multiple stressors on soft-shell clams","interactions":[],"lastModifiedDate":"2022-03-15T16:17:45.230156","indexId":"70226723","displayToPublicDate":"2021-11-29T06:41:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The silence of the clams: Forestry registered pesticides as multiple stressors on soft-shell clams","docAbstract":"

Contaminants are ubiquitous in the environment, often reaching aquatic systems. Combinations of forestry use pesticides have been detected in both water and aquatic organism tissue samples in coastal systems. Yet, most toxicological studies focus on the effects of these pesticides individually, at high doses, and over acute time periods, which, while key for establishing toxicity and safe limits, are rarely environmentally realistic. We examined chronic (90 days) exposure by the soft-shell clam, Mya arenaria, to environmentally relevant concentrations of four pesticides registered for use in forestry (atrazine, 5 μg/L; hexazinone, 0.3 μg/L; indaziflam, 5 μg/L; and bifenthrin, 1.5 μg/g organic carbon (OC)). Pesticides were tested individually and in combination, except bifenthrin, which was tested only in combination with the other three. We measured shell growth and condition index every 30 days, as well as feeding rates, mortality, and chemical concentrations in tissue from a subset of clams at the end of the experiment to measure contaminant uptake. Indaziflam caused a high mortality rate (max. 36%), followed by atrazine (max. 27%), both individually as well as in combination with other pesticides. Additionally, indaziflam concentrations in tissue (61.70–152.56 ng/g) were higher than those of atrazine (26.48–48.56 ng/g), despite equal dosing concentrations, indicating higher tissue accumulation. Furthermore, clams exposed to indaziflam and hexazinone experienced reduced condition index and clearance rates individually and in combination with other compounds; however, the two combined did not result in significant mortality. These two compounds, even at environmentally relevant concentrations, affected a non-target organism and, in the case of the herbicide indaziflam, accumulated in clam tissue and appeared more toxic than other tested pesticides. These findings underscore the need for more comprehensive studies combining multiple compounds at relevant concentrations to understand their impacts on aquatic ecosystems.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.152053","usgsCitation":"Tissot, A.G., Granek, E.F., Thompson, A.W., Hladik, M.L., Moran, P.W., and Scully-Engelmeyer, K., 2022, The silence of the clams: Forestry registered pesticides as multiple stressors on soft-shell clams: Science of the Total Environment, v. 819, 152053, 15 p., https://doi.org/10.1016/j.scitotenv.2021.152053.","productDescription":"152053, 15 p.","ipdsId":"IP-134372","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":449503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.152053","text":"Publisher Index Page"},{"id":392564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"819","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tissot, Alexandra G.","contributorId":269833,"corporation":false,"usgs":false,"family":"Tissot","given":"Alexandra","email":"","middleInitial":"G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":827973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granek, Elise F.","contributorId":176630,"corporation":false,"usgs":false,"family":"Granek","given":"Elise","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":827974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Anne W","contributorId":269834,"corporation":false,"usgs":false,"family":"Thompson","given":"Anne","email":"","middleInitial":"W","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":827975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scully-Engelmeyer, Kaegen","contributorId":269835,"corporation":false,"usgs":false,"family":"Scully-Engelmeyer","given":"Kaegen","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":827978,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226953,"text":"70226953 - 2022 - Correspondence analysis for mineral commodity research: An example workflow for mineralized calderas, southwest United States","interactions":[],"lastModifiedDate":"2022-03-15T16:40:05.579972","indexId":"70226953","displayToPublicDate":"2021-11-19T07:08:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Correspondence analysis for mineral commodity research: An example workflow for mineralized calderas, southwest United States","docAbstract":"

Historical mine and mineral deposit datasets are routinely used to inform quantitative mineral assessment models, but they also can contain a wealth of supplementary qualitative information that is generally underutilized. We present a workflow that uses correspondence analysis, an exploratory tool commonly applied to multivariate abundance data, to better utilize qualitative data in these historical datasets. The workflow involves extraction of qualitative information on ore mineralogy from a mineral deposit database, attaches those data to a target geological feature, and analyzes the underlying data structure with correspondence analysis and hierarchical clustering. The output of correspondence analysis is inversely weighted to the relative frequency of ore minerals, and therefore rare mineral species (i.e., those with unusually low frequencies) can disproportionately contribute to the total variance of the dataset. We present a novel technique for aggregating frequencies of rare mineral species that minimizes this effect. We apply this workflow to evaluate how ore mineral assemblages in former and active mines vary in spatial relation to silicic calderas in the southwestern United States. The most common ore mineral associations observed spatially and genetically associated to calderas include those related to polymetallic, base metal-rich systems and epithermal Au–Ag systems. Three other groups of mineralized calderas were identified, including: (1) Hg–Sb mineralized calderas in the northern Great Basin and western Nevada volcanic field; (2) calderas associated with elevated abundances of Mn oxides/hydroxides, fluorite, and Be-minerals, mostly in eastern Utah and New Mexico; and (3) calderas with numerous U ± F deposits, which are located in central Colorado, the eastern Great Basin and in northern Nevada. The latter three groups are associated with economically significant critical mineral resources, including the Li resources of the McDermitt complex and Be associated with the Spor Mountain on the margin of the Thomas caldera complex. We conclude that correspondence analysis is a promising technique that can enhance data exploration of the qualitative information held within mineral deposit datasets. Consequently, it could have numerous applications for mineral potential mapping, resource assessment projects, and characterization of mineral systems.


","language":"English","publisher":"Springer","doi":"10.1007/s11053-021-09963-w","usgsCitation":"Rosera, J.M., and Coleman, D.S., 2022, Correspondence analysis for mineral commodity research: An example workflow for mineralized calderas, southwest United States: Natural Resources Research, v. 31, p. 9-36, https://doi.org/10.1007/s11053-021-09963-w.","productDescription":"28 p.","startPage":"9","endPage":"36","ipdsId":"IP-130118","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":393297,"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 \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.541015625,\n 31.12819929911196\n ],\n [\n -102.48046875,\n 31.12819929911196\n ],\n [\n -102.48046875,\n 42.16340342422401\n ],\n [\n -124.541015625,\n 42.16340342422401\n ],\n [\n -124.541015625,\n 31.12819929911196\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","noUsgsAuthors":false,"publicationDate":"2021-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosera, Joshua Mark 0000-0003-3807-5000","orcid":"https://orcid.org/0000-0003-3807-5000","contributorId":270284,"corporation":false,"usgs":true,"family":"Rosera","given":"Joshua","email":"","middleInitial":"Mark","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":828923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman, Drew S","contributorId":192880,"corporation":false,"usgs":false,"family":"Coleman","given":"Drew","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":828924,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70233545,"text":"70233545 - 2022 - Time to get real with qPCR controls: The frequency of sample contamination and the informative power of negative controls in environmental DNA studies","interactions":[],"lastModifiedDate":"2022-07-25T12:03:52.68174","indexId":"70233545","displayToPublicDate":"2021-11-09T07:00:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Time to get real with qPCR controls: The frequency of sample contamination and the informative power of negative controls in environmental DNA studies","docAbstract":"

Environmental (e)DNA methods have enabled rapid, sensitive and specific inferences of taxa presence throughout diverse fields of ecological study. However, use of eDNA results for decision-making has been impeded by uncertainties associated with false positive tests putatively caused by sporadic or systemic contamination. Sporadic contamination is a process that is inconsistent across samples and systemic contamination occurs consistently over a group of samples. Here, we used empirical data and laboratory experiments to (i) estimate the sporadic contamination rate for each stage of a common, targeted eDNA workflow employing best practice quality control measures under simulated conditions of rare and common target DNA presence, (ii) determine the rate at which negative controls (i.e., “blanks”) detect varying concentrations of systemic contamination, and (iii) estimate the effort that would be required to consistently detect sporadic and systemic contamination. Sporadic contamination rates were very low across all eDNA workflow steps, and, therefore, an intractably high number of negative controls (>100) would be required to determine occurrence of sporadic contamination with any certainty. Contrarily, detection of intentionally introduced systemic contamination was more consistent; therefore, very few negative controls (<5) would be needed to consistently alert to systemic contamination. These results have considerable implications to eDNA study design when resources for sample analyses are constrained.

","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.13549","usgsCitation":"Hutchins, P., Simantel, L.N., and Sepulveda, A., 2022, Time to get real with qPCR controls: The frequency of sample contamination and the informative power of negative controls in environmental DNA studies: Molecular Ecology Resources, v. 22, no. 4, p. 1319-1329, https://doi.org/10.1111/1755-0998.13549.","productDescription":"11 p.","startPage":"1319","endPage":"1329","ipdsId":"IP-130308","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":436040,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94UHEPJ","text":"USGS data release","linkHelpText":"Quantitative polymerase chain reaction detection data for controlled DNA contamination experiments"},{"id":404414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Hutchins, Patrick Ross 0000-0001-5232-0821","orcid":"https://orcid.org/0000-0001-5232-0821","contributorId":256658,"corporation":false,"usgs":true,"family":"Hutchins","given":"Patrick Ross","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":847377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simantel, Leah Nicole 0000-0003-0256-8858","orcid":"https://orcid.org/0000-0003-0256-8858","contributorId":293596,"corporation":false,"usgs":true,"family":"Simantel","given":"Leah","email":"","middleInitial":"Nicole","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":847379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":847378,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70225499,"text":"70225499 - 2022 - Range eclipse leads to tenuous survival of a rare lizard species on a barrier atoll","interactions":[],"lastModifiedDate":"2022-01-25T17:03:05.91315","indexId":"70225499","displayToPublicDate":"2021-10-08T06:24:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2968,"text":"Oryx","active":true,"publicationSubtype":{"id":10}},"title":"Range eclipse leads to tenuous survival of a rare lizard species on a barrier atoll","docAbstract":"

Rediscovery of living populations of a species that was presumed to be extirpated can generate new narratives for conservation in areas suffering from losses in biodiversity. We used field observations and DNA sequence data to verify the rediscovery of the Critically Endangered scincid lizard Emoia slevini on Dåno′, an islet off the coast of Guam in the southern Mariana Islands, where for > 20 years it had been considered possibly extirpated. Endemic to the Marianas, E. slevini has declined throughout its range and no longer occurs on as many as five islands from which it was historically known, most likely because of interactions with invasive species and loss of native forest. Our results show that individuals from Dåno′, the type locality for E. slevini, are genetically similar but not identical to E. slevini on Sarigan and Alamagan to the north, and that E. slevini is a close evolutionary relative to another congener in the southern Marianas that is currently recognized as Emoia atrocostata but probably represents an undescribed species in this archipelago. We also show that other, more broadly distributed species of Emoia occurring on Dåno′ are distant relatives to E. slevini and the Mariana lineage of E. atrocostata, providing further evidence of the distinctiveness of these taxa. The rediscovery of E. slevini on Dåno′ following rodent eradication and culling of a population of monitor lizards suggests that management of invasive species is key to the recovery of this skink in the Mariana Islands, and that a range eclipse on the larger neighbouring island of Guam best explains why the rediscovery took place at the periphery of the species’ historic range. A Chamorro abstract can be found in the supplementary material.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0030605320001404","usgsCitation":"Richmond, J.Q., Wostl, E., Reed, R., and Fisher, R., 2022, Range eclipse leads to tenuous survival of a rare lizard species on a barrier atoll: Oryx, v. 56, no. 1, p. 63-72, https://doi.org/10.1017/S0030605320001404.","productDescription":"10 p.","startPage":"63","endPage":"72","ipdsId":"IP-125089","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"links":[{"id":449672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0030605320001404","text":"Publisher Index Page"},{"id":390600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Northern Marianas Islands","otherGeospatial":"Dåno′, Guam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 144.2120361328125,\n 12.860004340637042\n ],\n [\n 146.17309570312497,\n 12.860004340637042\n ],\n [\n 146.17309570312497,\n 20\n ],\n [\n 144.2120361328125,\n 20\n ],\n [\n 144.2120361328125,\n 12.860004340637042\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":825305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wostl, Elijah","contributorId":174771,"corporation":false,"usgs":false,"family":"Wostl","given":"Elijah","email":"","affiliations":[{"id":27511,"text":"U. Texas - Arlington","active":true,"usgs":false}],"preferred":false,"id":825306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert 0000-0001-8349-6168","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":267796,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":825307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":825308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70231633,"text":"70231633 - 2022 - Nearshore microfossil assemblages in a Caribbean reef environment show variable rates of recovery following Hurricane Irma","interactions":[],"lastModifiedDate":"2022-05-18T13:52:57.365425","indexId":"70231633","displayToPublicDate":"2021-09-07T07:14:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3369,"text":"Sedimentology","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore microfossil assemblages in a Caribbean reef environment show variable rates of recovery following Hurricane Irma","docAbstract":"

Modern microfossil distributions reflect site-specific habitats and provide an opportunity to assess sediment transport pathways in the nearshore environment. When applied to overwash deposits in the geological record, they provide insight into sediment provenance and transport, factors important for understanding patterns of frequency and intensity of past storms and tsunamis. Modern distribution studies are rare and often the first established ones occur immediately after an overwash event as part of a post-event field survey. This is problematic because it is unclear what effect overwash events have on nearshore microfossil assemblages and what time interval is necessary for them to return to pre-event conditions. This study documents the impacts of Hurricane Irma on nearshore sediments off the coast of Anegada, British Virgin Islands, using distributions of Homotrema rubrum, an encrusting foraminifer with a defined provenance in coral reefs. At four sampling intervals spanning two years, from six months pre-Hurricane Irma to eighteen months after, surface sediment was collected from three transects on the northern and southern shores of the island. Partitioning Around Medoids cluster analysis revealed that Hurricane Irma introduced an influx of well-preserved fragments into the reef flat and made the sediments more uniform, limiting the foraminifer’s utility as a known sediment transport indicator. The mixing of sediments along the two northern transects (reef proximal) persisted for seven to eighteen months before returning to near pre-hurricane conditions. However, the southern transect (absence of reef), where Homotrema rubrum concentrations are significantly less, failed to recover within the time period assessed by this study, indicating a variable recovery period between Atlantic Ocean and Caribbean Sea facing shorelines. Results from this study suggest that a waiting period of at least eighteen months after a major storm is recommended before collecting surface sediment from the nearshore environments of reef-dominated coastlines.

","language":"English","publisher":"Wiley","doi":"10.1111/sed.12944","usgsCitation":"Mitchell, S., Pilarczyk, J., Spiske, M., and Jaffe, B.E., 2022, Nearshore microfossil assemblages in a Caribbean reef environment show variable rates of recovery following Hurricane Irma: Sedimentology, v. 69, no. 3, p. 1209-1230, https://doi.org/10.1111/sed.12944.","productDescription":"22 p.","startPage":"1209","endPage":"1230","ipdsId":"IP-126895","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":449727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/sed.12944","text":"Publisher Index Page"},{"id":400688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Virgin Islands","otherGeospatial":"British Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.050048828125,\n 18.2397859708389\n ],\n [\n -64.171142578125,\n 18.2397859708389\n ],\n [\n -64.171142578125,\n 18.620218991632978\n ],\n [\n -65.050048828125,\n 18.620218991632978\n ],\n [\n -65.050048828125,\n 18.2397859708389\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"69","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Mitchell, Stephen","contributorId":291831,"corporation":false,"usgs":false,"family":"Mitchell","given":"Stephen","email":"","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":843160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilarczyk, Jessica","contributorId":291832,"corporation":false,"usgs":false,"family":"Pilarczyk","given":"Jessica","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":843161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spiske, Michaela","contributorId":291834,"corporation":false,"usgs":false,"family":"Spiske","given":"Michaela","affiliations":[{"id":62763,"text":"Universitat Basel","active":true,"usgs":false}],"preferred":false,"id":843162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":843163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70224247,"text":"70224247 - 2022 - Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing","interactions":[],"lastModifiedDate":"2022-04-11T16:33:42.047444","indexId":"70224247","displayToPublicDate":"2021-08-06T07:25:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing","docAbstract":"

Lakes process both terrestrial and aquatic organic matter, and the relative contribution from each source is often measured via ecosystem metabolism and terrestrial resource use in the food web (i.e., consumer allochthony). Yet, ecosystem metabolism and consumer allochthony are rarely considered together, despite possible interactions and potential for them to respond to the same lake characteristics. In this study, we compiled global datasets of lake gross primary production (GPP), ecosystem respiration (ER), and zooplankton allochthony to compare the strength and shape of relationships with physicochemical characteristics across a broad set of lakes. GPP was positively related to total phosphorus (TP) in lakes with intermediate TP concentrations (11–75 μg L−1) and was highest in lakes with intermediate dissolved organic carbon (DOC) concentrations. While ER and GPP were strongly positively correlated, decoupling occurred at high DOC concentrations. Lastly, allochthony had a unimodal relationship with TP and related variably to DOC. By integrating metabolism and allochthony, we identified similar change points in GPP and zooplankton allochthony at intermediate DOC (4.5–10 mg L−1) and TP (8–20 μg L−1) concentrations, indicating that allochthony and GPP may be coupled and inversely related. The ratio of DOC:nutrients also helped to identify conditions where lake organic matter processing responded more to autochthonous or allochthonous organic matter sources. As lakes globally face eutrophication and browning, predicting how lake organic matter processing will respond requires an updated paradigm that incorporates nonlinear dynamics and interactions.

","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.11907","usgsCitation":"Holgerson, M.A., Hovel, R.A., Kelly, P.T., Bortolotti, L.E., Brentrup, J.A., Bellamy, A.R., Oliver, S.K., and Reisenger, A.J., 2022, Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing: Limnology and Oceanography, v. 67, no. S1, p. S71-S85, https://doi.org/10.1002/lno.11907.","productDescription":"15 p.","startPage":"S71","endPage":"S85","ipdsId":"IP-122058","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":449757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.11907","text":"Publisher Index Page"},{"id":389254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"S1","noUsgsAuthors":false,"publicationDate":"2021-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Holgerson, Meredith A.","contributorId":257243,"corporation":false,"usgs":false,"family":"Holgerson","given":"Meredith","email":"","middleInitial":"A.","affiliations":[{"id":51986,"text":"Departments of Biology and Environmental Studies, St. Olaf College, Northfield, Minnesota, USA","active":true,"usgs":false}],"preferred":false,"id":823337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hovel, Rachel A.","contributorId":171740,"corporation":false,"usgs":false,"family":"Hovel","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":823338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Patrick T.","contributorId":193577,"corporation":false,"usgs":false,"family":"Kelly","given":"Patrick","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":823339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bortolotti, Lauren E","contributorId":265772,"corporation":false,"usgs":false,"family":"Bortolotti","given":"Lauren","email":"","middleInitial":"E","affiliations":[{"id":7182,"text":"Ducks Unlimited Canada","active":true,"usgs":false}],"preferred":false,"id":823340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brentrup, Jennifer A.","contributorId":194457,"corporation":false,"usgs":false,"family":"Brentrup","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":823341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bellamy, Amber R","contributorId":265773,"corporation":false,"usgs":false,"family":"Bellamy","given":"Amber","email":"","middleInitial":"R","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":823342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823343,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reisenger, Alexander J","contributorId":265774,"corporation":false,"usgs":false,"family":"Reisenger","given":"Alexander","email":"","middleInitial":"J","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":823344,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70266742,"text":"70266742 - 2022 - Piscine predation on juvenile salmon in sub-arctic Alaskan rivers: Associations with season, habitat, predator size and streamflow","interactions":[],"lastModifiedDate":"2025-05-12T14:44:07.697851","indexId":"70266742","displayToPublicDate":"2021-08-01T09:36:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Piscine predation on juvenile salmon in sub-arctic Alaskan rivers: Associations with season, habitat, predator size and streamflow","docAbstract":"

Predation on anadromous salmon can have important consequences for both predators and prey. Salmon provide large seasonal pulses of energy and nutrients via carcasses, eggs and juveniles to many freshwater consumers, and conversely, predation can represent a significant source of mortality for juvenile salmon. Recent declines of Chinook salmon (Oncorhynchus tshawytscha) populations in Alaska have raised concern that predation might inhibit their recovery. Here, we quantify patterns of predation by freshwater fishes on juvenile salmon across seasons, habitats, predator sizes and streamflow levels in the Arctic-Yukon-Kuskokwim region of Alaska. We analysed piscivore stomach contents and identified prey using DNA sequence “barcoding.” In coastal rivers, juvenile pink (O. gorbuscha) and chum (O. keta) salmon contributed heavily to Arctic grayling (Thymallus arcticus) and Dolly Varden char (Salvelinus malma) diets, coho salmon (O. kisutch) prey were rare, and Chinook salmon were not detected. In interior rivers, Arctic grayling, burbot (Lota lota) and northern pike (Esox lucius) consumed small numbers of Chinook salmon. Predation on Chinook salmon was documented disproportionately in sloughs during a summer of exceptionally high streamflow. Dietary and distributional patterns suggested northern pike and burbot may exclude salmon from sloughs in low-gradient river reaches that would otherwise provide suitable rearing habitat. The data also provided tentative support for the hypothesis that high streamflow induces juvenile Chinook salmon to move from mainstem habitats into sloughs, where they face an increased risk of mortality. Incorporating predation risk into climate adaptation, fisheries management and habitat restoration decisions may help to facilitate Chinook salmon recovery.

","language":"English","publisher":"Wiley","doi":"10.1111/eff.12626","usgsCitation":"Erik R. Schoen, Kristen W. Sellmer, Wipfli, M.S., López, J., Meyer, B.E., and Ivanoff, R., 2022, Piscine predation on juvenile salmon in sub-arctic Alaskan rivers: Associations with season, habitat, predator size and streamflow: Ecology of Freshwater Fish, v. 31, no. 2, p. 243-259, https://doi.org/10.1111/eff.12626.","productDescription":"17 p.","startPage":"243","endPage":"259","ipdsId":"IP-127178","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic-Yukon-Kuskokwim region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -141.10147646297003,\n 68.3449468703235\n ],\n [\n -156.9154253909846,\n 67.08522178303117\n ],\n [\n -160.57755346633166,\n 65.7946938791593\n ],\n [\n -167.68091025059113,\n 65.37438160750091\n ],\n [\n -166.02578339933964,\n 64.5871850291825\n ],\n [\n -161.57951338791028,\n 63.97208503621405\n ],\n [\n -164.3166616652914,\n 63.224393208662505\n ],\n [\n -166.79494731479465,\n 61.465571001059644\n ],\n [\n -163.41623031807688,\n 58.92141056825929\n ],\n [\n -152.74292030658648,\n 61.19555667367189\n ],\n [\n -147.87124146516078,\n 63.43635278597176\n ],\n [\n -144.46134619105635,\n 63.1032486591549\n ],\n [\n -141.13828573559508,\n 62.46536178017422\n ],\n [\n -141.10147646297003,\n 68.3449468703235\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Erik R. Schoen","contributorId":354925,"corporation":false,"usgs":false,"family":"Erik R. Schoen","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":936654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kristen W. Sellmer","contributorId":354927,"corporation":false,"usgs":false,"family":"Kristen W. Sellmer","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":936655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"López, Juan A.","contributorId":354929,"corporation":false,"usgs":false,"family":"López","given":"Juan A.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":936656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Benjamin E.","contributorId":200050,"corporation":false,"usgs":false,"family":"Meyer","given":"Benjamin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":936658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ivanoff, Renae","contributorId":264889,"corporation":false,"usgs":false,"family":"Ivanoff","given":"Renae","affiliations":[{"id":54574,"text":"norton sound","active":true,"usgs":false}],"preferred":false,"id":936657,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227801,"text":"70227801 - 2022 - High-resolution remote sensing and multistate occupancy estimation identify drivers of spawning site selection in fall chum salmon (Oncorhynchus keta) across a sub-Arctic riverscape","interactions":[],"lastModifiedDate":"2022-03-15T16:56:30.794133","indexId":"70227801","displayToPublicDate":"2021-07-23T15:54:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High-resolution remote sensing and multistate occupancy estimation identify drivers of spawning site selection in fall chum salmon (Oncorhynchus keta) across a sub-Arctic riverscape","title":"High-resolution remote sensing and multistate occupancy estimation identify drivers of spawning site selection in fall chum salmon (Oncorhynchus keta) across a sub-Arctic riverscape","docAbstract":"

Groundwater upwellings provide warmer, stable overwinter temperatures for developing salmon embryos, which may be particularly important in cold, braided, gravel-bed sub-Arctic rivers. We used a three-year time series of aerial counts and remote sensing to estimate the distribution of low and high aggregations of spawning fall chum salmon (Oncorhynchus keta), classify approximately 0.5 km long river segments by geomorphic channel type, and map thermal variability along a 25.4 km stretch of the Teedriinjik River, Alaska. We used a dynamic multistate occupancy model to estimate detectability, occupancy, and the dynamics of spawning aggregations among river segments. Detectability was higher for large (>150) relative to smaller aggregations. Unoccupied segments were likely to remain so from year to year; low abundance spawning segments were dynamic and rarely remained in that state for multiple years, while ∼20%–35% of high abundance segments remained stable, indicating the presence of high-quality spawning habitat. Spawning habitat use was associated with warmer water temperatures likely caused by groundwater upwellings. We identified spawning habitat characteristics and trends in usage by fall chum salmon, which will inform land management decisions and assist in evaluating impacts of shifting climate conditions and resource management on Arctic salmon populations.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2021-0013","usgsCitation":"Clawson, C.M., Falke, J.A., Bailey, L.L., Rose, J., Prakash, A., and Martin, A.E., 2022, High-resolution remote sensing and multistate occupancy estimation identify drivers of spawning site selection in fall chum salmon (Oncorhynchus keta) across a sub-Arctic riverscape: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 3, p. 380-394, https://doi.org/10.1139/cjfas-2021-0013.","productDescription":"15 p.","startPage":"380","endPage":"394","ipdsId":"IP-092932","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Teedriinjik River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -147.28271484375,\n 66.98810916256633\n ],\n [\n -146.37908935546875,\n 66.98810916256633\n ],\n [\n -146.37908935546875,\n 67.11714654279567\n ],\n [\n -147.28271484375,\n 67.11714654279567\n ],\n [\n -147.28271484375,\n 66.98810916256633\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clawson, Chelsea M.","contributorId":272841,"corporation":false,"usgs":false,"family":"Clawson","given":"Chelsea","email":"","middleInitial":"M.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":832330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Larissa L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":189578,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":832331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Joshua","contributorId":273053,"corporation":false,"usgs":false,"family":"Rose","given":"Joshua","affiliations":[{"id":13228,"text":"U.S. Fish and Wildlife Service, Arctic National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":832535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prakash, Anupma","contributorId":41101,"corporation":false,"usgs":true,"family":"Prakash","given":"Anupma","affiliations":[],"preferred":false,"id":832332,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Aaron E.","contributorId":200419,"corporation":false,"usgs":false,"family":"Martin","given":"Aaron","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":832333,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70222585,"text":"70222585 - 2022 - Temporal and petrogenetic links between Mesoproterozoic alkaline and carbonatite magmas at Mountain Pass, California","interactions":[],"lastModifiedDate":"2021-11-26T17:49:19.982303","indexId":"70222585","displayToPublicDate":"2021-07-22T06:31:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and petrogenetic links between Mesoproterozoic alkaline and carbonatite magmas at Mountain Pass, California","docAbstract":"

Mountain Pass is the site of the most economically important rare earth element (REE) deposit in the United States. Mesoproterozoic alkaline intrusions are spatiotemporally associated with a composite carbonatite stock that hosts REE ore. Understanding the genesis of the alkaline and carbonatite magmas is an essential scientific goal for a society in which critical minerals are in high demand and will continue to be so for the foreseeable future. We present an ion microprobe study of zircon crystals in shonkinite and syenite intrusions to establish geochronological and geochemical constraints on the igneous underpinnings of the Mountain Pass REE deposit. Silicate whole-rock compositions occupy a broad spectrum (50–72 wt % SiO2), are ultrapotassic (6–9 wt % K2O; K2O/Na2O = 2–9), and have highly elevated concentrations of REEs (La 500–1,100× chondritic). Zircon concordia 206Pb/238U-207Pb/235U ages determined for shonkinite and syenite units are 1409 ± 8, 1409 ± 12, 1410 ± 8, and 1415 ± 6 Ma (2σ). Most shonkinite dikes are dominated by inherited Paleoproterozoic xenocrysts, but there are sparse primary zircons with 207Pb/206Pb ages of 1390–1380 ± 15 Ma for the youngest grains. Our new zircon U-Pb ages for shonkinite and syenite units overlap published monazite Th-Pb ages for the carbonatite orebody and a smaller carbonatite dike. Inherited zircons in shonkinite and syenite units are ubiquitous and have a multimodal distribution of 207Pb/206Pb ages that cluster in the range of 1785–1600 ± 10–30 Ma. Primary zircons have generally lower Hf (<11,000 ppm) and higher Eu/Eu* (>0.6), Th (>300 ppm), Th/U (>1), and Ti-in-zircon temperatures (>800°C) than inherited zircons. Oxygen isotope data reveals a large range in δ18O values for primary zircons, from mantle (5–5.5‰) to crustal and supracrustal (7–9‰). A couple of low-δ18O outliers (2‰) point to a component of shallow crust altered by meteoric water. The δ18O range of inherited zircons (5–10‰) overlaps that of the primary zircons. Our study supports a model in which alkaline and carbonatite magmatism occurred over tens of millions of years, repeatedly tapping a metasomatized mantle source, which endowed magmas with elevated REEs and other diagnostic components (e.g., F, Ba). Though this metasomatized mantle region existed for the duration of Mountain Pass magmatism, it probably did not predate magmatism by substantial geologic time (>100 m.y.), based on the similarity of 1500 Ma zircons with the dominantly 1800–1600 Ma inherited zircons, as opposed to the 1450–1350 Ma primary zircons. Mountain Pass magmas had diverse crustal inputs from assimilation of Paleoproterozoic and Mesoproterozoic igneous, metaigneous, and metasedimentary rocks. Crustal assimilation is only apparent from high spatial resolution zircon analyses and underscores the need for mineral-scale approaches in understanding the genesis of the Mountain Pass system.

","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4848","usgsCitation":"Watts, K., Haxel, G.B., and Miller, D., 2022, Temporal and petrogenetic links between Mesoproterozoic alkaline and carbonatite magmas at Mountain Pass, California: Economic Geology, v. 117, no. 1, p. 1-23, https://doi.org/10.5382/econgeo.4848.","productDescription":"23 p.","startPage":"1","endPage":"23","ipdsId":"IP-123131","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449779,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5382/econgeo.4848","text":"Publisher Index Page"},{"id":436062,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UE4HFE","text":"USGS data release","linkHelpText":"Geochemistry, geochronology, and isotope geochemistry data for rocks and zircons from Mountain Pass, California"},{"id":387730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southeast California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.71874999999999,\n 34.813803317113155\n ],\n [\n -115.400390625,\n 34.813803317113155\n ],\n [\n -115.400390625,\n 36.527294814546245\n ],\n [\n -116.71874999999999,\n 36.527294814546245\n ],\n [\n -116.71874999999999,\n 34.813803317113155\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haxel, Gordon B. 0000-0002-6722-7803 gbhaxel@usgs.gov","orcid":"https://orcid.org/0000-0002-6722-7803","contributorId":261783,"corporation":false,"usgs":true,"family":"Haxel","given":"Gordon","email":"gbhaxel@usgs.gov","middleInitial":"B.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820651,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70222132,"text":"70222132 - 2022 - Environmental evolution of peat in the Sacramento – San Joaquin Delta (California) during the Middle and Late Holocene as deduced from pollen, diatoms and magnetism","interactions":[],"lastModifiedDate":"2022-04-11T16:29:49.277945","indexId":"70222132","displayToPublicDate":"2020-05-31T06:55:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Environmental evolution of peat in the Sacramento – San Joaquin Delta (California) during the Middle and Late Holocene as deduced from pollen, diatoms and magnetism","docAbstract":"

We studied the sequence of climatic and hydrological events associated with the formation of peat during the Holocene, using pollen, diatoms and environmental magnetism from peat cores at three locations in the Sacramento-San Joaquin Delta of California: Browns Island, Franks Wetland and Webb Track Levee. Our data show that peat first formed under relatively dry conditions in a freshwater environment before 6.5 ka BP. Subsequently, pollen accumulation rates were highest prior to intervals with high peat accretion rates but are inversely correlated with organic accumulation rate. Intervals of high peat accretion were preceded by pulses of terrigenous material. During intensive drainage episodes, high flows delivered abundant, coarser-grained sediment to the marshes, which inundated the existing vegetation and decreased the rate of biochemical decay. The build-up of undecomposed organic material led to the acceleration of peat accretion. Our data support the rarely discussed hypothesis that most of the peat in the Sacramento-San Joaquin Delta formed in freshwater marshes that were fed by rivers draining from the Sierra Nevada, rather than in saltwater wetlands resulting from sea level rise and estuarine submergence. This result has important implications for current attempts to remediate and restore the Delta ecosystem.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2020.05.012","usgsCitation":"Delusina, I., Starratt, S.W., and Verosub, K.L., 2022, Environmental evolution of peat in the Sacramento – San Joaquin Delta (California) during the Middle and Late Holocene as deduced from pollen, diatoms and magnetism: Quaternary International, v. 621, p. 50-61, https://doi.org/10.1016/j.quaint.2020.05.012.","productDescription":"12 p.","startPage":"50","endPage":"61","ipdsId":"IP-090434","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2020.05.012","text":"Publisher Index Page"},{"id":387320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Sacramento","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.728515625,\n 38.39764411353178\n ],\n [\n -121.23138427734375,\n 38.39764411353178\n ],\n [\n -121.23138427734375,\n 38.732661120482334\n ],\n [\n -121.728515625,\n 38.732661120482334\n ],\n [\n -121.728515625,\n 38.39764411353178\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"621","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Delusina, Irina","contributorId":261263,"corporation":false,"usgs":false,"family":"Delusina","given":"Irina","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":819619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":819620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verosub, Kenneth L","contributorId":261264,"corporation":false,"usgs":false,"family":"Verosub","given":"Kenneth","email":"","middleInitial":"L","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":819621,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250895,"text":"70250895 - 2021 - Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region","interactions":[],"lastModifiedDate":"2024-01-11T14:37:26.712196","indexId":"70250895","displayToPublicDate":"2024-01-11T08:27:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region","docAbstract":"

The Sulphide Queen carbonatite deposit at Mountain Pass in southeast California is a world class rare earth element (REE) resource. This study images electrical resistivity structure of the REE deposit and surrounding area to characterize resources under cover. An east-west elongated grid (35 × 15 km) of 65 wideband magnetotelluric stations spanning from eastern Shadow Valley to eastern Ivanpah Valley were collected and modeled in three-dimensions (3-D). Gravity, aeromagnetic, and geologic data are used to inform interpretation of structures in the resistivity model, including the following observations. Shadow Valley is filled with conductive sediment that locally dips southward to a depth of 1 km. The Kingston Range-Halloran Hills detachment fault dips westward at ∼15 degrees. The REE deposit is a moderate low resistivity zone dipping southwest to a possible depth of ∼1 km, and is bounded by the North and South faults and bisected by the Middle fault. Ivanpah Dry Lake is underlain by a north striking southward dipping sedimentary basin. Two possible zones of mineralization are observed in Ivanpah Valley, one along the western edge of Ivanpah Dry Lake and one on the western edge of valley along a new inferred fault. The brittle-ductile transition is imaged at ∼10 km below mean sea level. No deep electrically conductive structures are imaged to be related to the REE deposit likely due to the complex geologic history of the Mojave terrane. Future studies should regional target Proterozoic rocks and search within for geophysical signatures similar to Mountain Pass.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GC010029","usgsCitation":"Peacock, J., Denton, K., and Ponce, D.A., 2021, Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region: Geochemistry, Geophysics, Geosystems, v. 22, no. 11, e2021GC010029, 16 p., https://doi.org/10.1029/2021GC010029.","productDescription":"e2021GC010029, 16 p.","ipdsId":"IP-132719","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gc010029","text":"Publisher Index Page"},{"id":424329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mountain Pass","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115,\n 36\n ],\n [\n -116,\n 36\n ],\n [\n -116,\n 35\n ],\n [\n -115,\n 35\n ],\n [\n -115,\n 36\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"22","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denton, Kevin 0000-0001-9604-4021","orcid":"https://orcid.org/0000-0001-9604-4021","contributorId":207718,"corporation":false,"usgs":true,"family":"Denton","given":"Kevin","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":891969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229426,"text":"70229426 - 2021 - Wolf use of humanmade objects during pup-rearing","interactions":[],"lastModifiedDate":"2022-03-08T12:52:21.359148","indexId":"70229426","displayToPublicDate":"2021-12-31T06:51:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5550,"text":"Animal Behavior and Cognition","active":true,"publicationSubtype":{"id":10}},"title":"Wolf use of humanmade objects during pup-rearing","docAbstract":"

Some animals use humanmade objects for building and constructing nests or shelter and even for play. Gray wolves (Canis lupus) gather and use humanmade objects discovered in their natural environment. Gathering humanmade objects is a peculiar behavior particularly when there is no immediately apparent benefit to survival or reproduction. I opportunistically documented 46 different types of humanmade objects with plastic bottles and aluminum cans being the most common items found at wolf pup-rearing sites. Many objects were made of materials that appeared suitable to alleviate pain in teething pups. For some objects, however, it was not immediately obvious that they would alleviate teething pain due to their unpliable material. Additionally, such objects were quite rare in wolves’ natural environment although it was not uncommon to find them at pup-rearing sites. Rare humanmade objects may provide a novelty that stimulates pups more than common objects. I hypothesize that objects used by wolf pups 1) alleviate pain from teething, and 2) provide adults respite from energetic pups. The latter is an important distinction because it implies the benefit of object play is to the adults and not the pups per se. Gathering novel objects that occupy energetic and hungry pups may influence the overall ability of social carnivores to leave young unattended while they hunt, to rest upon their return, and ultimately rear young successfully. 

","language":"English","publisher":"Animal Behavior and Cognition","doi":"10.26451/abc.08.03.06.2021","usgsCitation":"Ausband, D.E., 2021, Wolf use of humanmade objects during pup-rearing: Animal Behavior and Cognition, v. 8, no. 3, p. 405-414, https://doi.org/10.26451/abc.08.03.06.2021.","productDescription":"10 p.","startPage":"405","endPage":"414","ipdsId":"IP-124930","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26451/abc.08.03.06.2021","text":"Publisher Index Page"},{"id":396848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":837423,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70225607,"text":"70225607 - 2021 - Reconnecting the Elwha River: Spatial patterns of fish response to dam removal","interactions":[],"lastModifiedDate":"2022-01-11T16:24:28.175411","indexId":"70225607","displayToPublicDate":"2021-12-29T10:09:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Reconnecting the Elwha River: Spatial patterns of fish response to dam removal","docAbstract":"

The removal of two large dams on the Elwha River was completed in 2014 with a goal of restoring anadromous salmonid populations. Using observations from ongoing field studies, we compiled a timeline of migratory fish passage upstream of each dam. We also used spatially continuous snorkeling surveys in consecutive years before (2007, 2008) and after (2018, 2019) dam removal during summer baseflow to assess changes in fish distribution and density over 65 km of the mainstem Elwha River. Before dam removal, anadromous fishes were limited to the 7.9 km section of river downstream of Elwha Dam, potamodromous species could not migrate throughout the river system, and resident trout were the most abundant species. After dam removal, there was rapid passage into areas upstream of Elwha Dam, with 8 anadromous species (Chinook, Coho, Sockeye, Pink, Chum, Winter Steelhead, Summer Steelhead, Pacific Lamprey, and Bull Trout) observed within 2.5 years. All of these runs except Chum Salmon were also observed in upper Elwha upstream of Glines Canyon Dam within 5 years. The spatial extent of fish passage by adult Chinook Salmon and Summer Steelhead increased by 50 km and 60 km, respectively, after dam removal. Adult Chinook Salmon densities in some previously inaccessible reaches in the middle section of the river exceeded the highest densities observed in the lower section of the river prior to dam removal. The large number (>100) of adult Summer Steelhead in the upper river after dam removal was notable because it was among the rarest anadromous species in the Elwha River prior to dam removal. The spatial extent of trout and Bull Trout remained unchanged after dam removal, but their total abundance increased and their highest densities shifted from the lower 25 km of the river to the upper 40 km. Our results show that reconnecting the Elwha River through dam removal provided fish access to portions of the watershed that had been blocked for nearly a century.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2021.765488","usgsCitation":"Duda, J.J., Torgersen, C.E., Brenkman, S.J., Peters, R.J., Sutton, K.T., Connor, H.A., Kennedy, P.R., Corbett, S.C., Welty, E., Geffre, A., Geffre, J., Crain, P., Shreffler, D., McMillan, J., McHenry, M., and Pess, G.R., 2021, Reconnecting the Elwha River: Spatial patterns of fish response to dam removal: Frontiers in Ecology and Evolution, v. 9, 765488, 17 p., https://doi.org/10.3389/fevo.2021.765488.","productDescription":"765488, 17 p.","ipdsId":"IP-132960","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":449975,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2021.765488","text":"Publisher Index Page"},{"id":436083,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MFJXK1","text":"USGS data release","linkHelpText":"Riverscape snorkeling surveys of salmonid distribution and abundance before (2007, 2008) and after (2018, 2019) dam removal on the Elwha River, Washington"},{"id":394190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.870849609375,\n 47.42437092240519\n ],\n [\n -123.255615234375,\n 47.42437092240519\n ],\n [\n -123.255615234375,\n 48.125767833701666\n ],\n [\n -123.870849609375,\n 48.125767833701666\n ],\n [\n -123.870849609375,\n 47.42437092240519\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":825874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science 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U.S.A.","active":true,"usgs":false}],"preferred":false,"id":825886,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McMillan, John R.","contributorId":268133,"corporation":false,"usgs":false,"family":"McMillan","given":"John R.","affiliations":[{"id":55569,"text":"Trout Unlimited, Port Angeles, WA, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":825887,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McHenry, Mike","contributorId":268134,"corporation":false,"usgs":false,"family":"McHenry","given":"Mike","email":"","affiliations":[{"id":55570,"text":"Lower Elwha Klallam Tribe, Port Angeles, WA, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":825888,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pess, George R.","contributorId":13501,"corporation":false,"usgs":false,"family":"Pess","given":"George","email":"","middleInitial":"R.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":825889,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70228917,"text":"70228917 - 2021 - A statistical framework to track temporal dependence of chlorophyll–nutrient relationships with implications for lake eutrophication management","interactions":[],"lastModifiedDate":"2022-02-24T23:14:04.830404","indexId":"70228917","displayToPublicDate":"2021-12-23T16:55:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A statistical framework to track temporal dependence of chlorophyll–nutrient relationships with implications for lake eutrophication management","docAbstract":"

A reliable chlorophyll–nutrient relationship (CNR) is essential for lake eutrophication management. Although the spatial variability of CNRs has been extensively explored, temporal variations of CNRs at the individual lake scale has rarely been discussed. The paucity of information about temporal dependence in CNRs may in part be due to the lack of a suitable statistical framework that helps guide such investigations. In order to reveal temporal dependence of CNR, this study develop a novel statistical framework. In the framework, we employ quantile regression to generate overall (the entire dataset), annual (subsets for each year), and accumulative (subsets collected before a certain year) CNRs. We aim to 1) show biases of annual relationships by comparing the overall and annual relationships and 2) determine whether or not data accumulation is enough to develop a reliable CNR. We use Lake Champlain and Lake Kasumigaura as case studies to illustrate the necessary steps needed to utilize this novel framework. Results show that large interannual variations exist for CNRs. Accumulative relationships tend to converge to the overall relationship, indicating that overall relationships are reliable for informing lake-specific eutrophication management in the two case study lakes. The novel statistical framework that we propose for a procedure to estimate reliable CNRs is important for informing lake-specific eutrophication control decision-making processes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2020.125883","usgsCitation":"Qiu, Q., Liang, Z., Xu, Y., Matsuzaki, S.S., Komatsu, K., and Wagner, T., 2021, A statistical framework to track temporal dependence of chlorophyll–nutrient relationships with implications for lake eutrophication management: Journal of Hydrology, v. 603, no. Part D, 127134, 10 p., https://doi.org/10.1016/j.jhydrol.2020.125883.","productDescription":"127134, 10 p.","ipdsId":"IP-119115","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":449983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2020.125883","text":"Publisher Index Page"},{"id":396460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan, United States","otherGeospatial":"Ibaraki Prefecture, Lake Champlain, Lake Kasumigaura","volume":"603","issue":"Part D","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Qiu, Qianlinglin","contributorId":280020,"corporation":false,"usgs":false,"family":"Qiu","given":"Qianlinglin","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":835891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liang, Zhongyao","contributorId":280018,"corporation":false,"usgs":false,"family":"Liang","given":"Zhongyao","email":"","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":835889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Yaoyang","contributorId":280019,"corporation":false,"usgs":false,"family":"Xu","given":"Yaoyang","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":835890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matsuzaki, Shin-Ichiro S.","contributorId":203197,"corporation":false,"usgs":false,"family":"Matsuzaki","given":"Shin-Ichiro","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":836003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Komatsu, Kazuhiro","contributorId":280073,"corporation":false,"usgs":false,"family":"Komatsu","given":"Kazuhiro","email":"","affiliations":[],"preferred":false,"id":836005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":835888,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70229098,"text":"70229098 - 2021 - Mapping habitat quality and threats for eastern Black Rails (Laterallus jamaicensis jamaicensis)","interactions":[],"lastModifiedDate":"2022-02-28T12:27:23.743339","indexId":"70229098","displayToPublicDate":"2021-12-23T06:23:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Mapping habitat quality and threats for eastern Black Rails (Laterallus jamaicensis jamaicensis)","docAbstract":"

Documenting the spatial distribution of high-quality habitat patches, the distributions of threats and protected areas, and the vulnerability of habitat patches to changes in environmental conditions is vital for conservation of rare species. Range-wide species distribution models were developed for Black Rails (Laterallus jamaicensis) to predict the distribution of high-quality habitat patches for breeding Eastern Black Rails (L. j. jamaicensis). Overlay analyses were conducted to quantify the distribution of habitat relative to human development and existing protected areas, as well as the vulnerability of the best habitat to future sea level rise. The amount of high-quality habitat varied among states (0.4-7.6% of area) and was relatively rare throughout the subspecies' range (3.3% of area). Human development was common but the amount varied spatially among states (2.2-15.3% of area). Higher-quality breeding habitat was more common on federal lands (9.4% of area) and protected areas (6.4% of area), yet 33-42% of the highest-quality habitat patches were vulnerable to sea level rise of 0.61-1.83 m. Our results imply that even though many of the highest-quality habitat patches may be less likely sites for development they are often vulnerable to rising seas, and thus maintenance of existing high-quality habitat patches may be difficult without management that takes into account the likelihood of future inundation.

","language":"English","publisher":"BioOne","doi":"10.1675/063.044.0211","usgsCitation":"Stevens, B.S., and Conway, C.J., 2021, Mapping habitat quality and threats for eastern Black Rails (Laterallus jamaicensis jamaicensis): Waterbirds, v. 44, no. 2, p. 245-256, https://doi.org/10.1675/063.044.0211.","productDescription":"12 p.","startPage":"245","endPage":"256","ipdsId":"IP-122240","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449988,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.044.0211","text":"Publisher Index Page"},{"id":396537,"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 \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.669921875,\n 29.878755346037977\n ],\n [\n -92.8564453125,\n 30.44867367928756\n ],\n [\n -95.80078125,\n 30.06909396443887\n ],\n [\n -97.3828125,\n 28.613459424004414\n ],\n [\n -97.20703125,\n 27.410785702577023\n ],\n [\n -96.15234375,\n 27.877928333679495\n ],\n [\n -94.52636718749999,\n 29.036960648558267\n ],\n [\n -91.93359375,\n 29.458731185355344\n ],\n [\n -91.669921875,\n 29.878755346037977\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.4296875,\n 30.107117887092357\n ],\n [\n -85.6494140625,\n 29.916852233070173\n ],\n [\n -85.341796875,\n 29.305561325527698\n ],\n [\n -84.0673828125,\n 29.726222319395504\n ],\n [\n -83.27636718749999,\n 28.9600886880068\n ],\n [\n -83.1884765625,\n 27.488781168937997\n ],\n [\n -82.6611328125,\n 26.352497858154024\n ],\n [\n -81.9140625,\n 25.522614647623293\n ],\n [\n -80.7275390625,\n 24.84656534821976\n ],\n [\n -79.98046875,\n 25.24469595130604\n ],\n [\n -79.9365234375,\n 27.449790329784214\n ],\n [\n -80.68359375,\n 29.611670115197377\n ],\n [\n -80.7275390625,\n 31.090574094954192\n ],\n [\n -78.92578124999999,\n 32.65787573695528\n ],\n [\n -75.1904296875,\n 34.66935854524543\n ],\n [\n -74.8828125,\n 37.19533058280065\n ],\n [\n -74.1796875,\n 39.232253141714885\n ],\n [\n -74.8828125,\n 39.9434364619742\n ],\n [\n -76.201171875,\n 39.80853604144591\n ],\n [\n -77.431640625,\n 39.16414104768742\n ],\n [\n -77.47558593749999,\n 37.3002752813443\n ],\n [\n -77.95898437499999,\n 35.209721645221386\n ],\n [\n -78.3544921875,\n 34.77771580360469\n ],\n [\n -79.541015625,\n 34.05265942137599\n ],\n [\n -80.771484375,\n 32.879587173066305\n ],\n [\n -81.9580078125,\n 31.914867503276223\n ],\n [\n -82.2216796875,\n 30.86451022625836\n ],\n [\n -82.2216796875,\n 30.183121842195515\n ],\n [\n -83.14453125,\n 30.107117887092357\n ],\n [\n -84.19921875,\n 30.334953881988564\n ],\n [\n -85.4296875,\n 30.107117887092357\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":836474,"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":836473,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70233926,"text":"70233926 - 2021 - Lake Ontario cisco population dynamics based on long-term surveys","interactions":[],"lastModifiedDate":"2022-07-28T12:26:49.539175","indexId":"70233926","displayToPublicDate":"2021-12-15T07:25:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":656,"text":"Advances in Limnology","active":true,"publicationSubtype":{"id":10}},"title":"Lake Ontario cisco population dynamics based on long-term surveys","docAbstract":"

Prior to European settlement, cisco (Coregonus artedi) were likely one of Lake Ontario’s most abundant fishes but currently represent a small portion of the fish community. To understand how the population has changed over the past 70 years we compared trends in annual catch rates from gillnet and bottom trawl surveys and commercial fishery landings. In surveys, cisco were generally rare, and represented 0.2, 0.4, and 0.001% of all fish caught in two gillnet surveys and bottom trawl surveys. Cisco catch rates in gillnets and trawls were positively correlated and correlations increased when gillnet catches two years later were compared to trawls since trawls tended to capture smaller, juvenile-sized cisco relative to gillnets. Survey catch rates suggest recruitment is generally low, but discrete periods of relatively greater recruitment in the 1980s and mid-2010s suggest reproductive conditions for cisco vary temporally. Trawl surveys were the most spatially extensive survey and illustrated catch rates were highest in northeastern Lake Ontario. Greater cisco abundance in this region may be related to more-abundant embayment spawning habitat, greater distance from winter aggregations of nonnative planktivores, or more appropriate environmental conditions during spawing. At the basin scale, Lake Ontario bottom trawl catch per unit effort (CPUE) was positively correlated to Lake Superior trawl CPUE suggesting a regional driver, such as climate, may be similarly impacting both populations. Concurrent patterns across Lake Ontario surveys support the idea that cisco are currently a small portion of the fish community, recruitment remains inconsistent, and habitats in northeastern Lake Ontario appear critical to the remnant populations.

","language":"English","publisher":"Schweizerbart Science Publishers","doi":"10.1127/adv_limnol/2021/0070","usgsCitation":"Weidel, B., Hoyle, J.A., Connerton, M., Holden, J., and Vinson, M., 2021, Lake Ontario cisco population dynamics based on long-term surveys: Advances in Limnology, v. 66, p. 85-103, https://doi.org/10.1127/adv_limnol/2021/0070.","productDescription":"19 p.","startPage":"85","endPage":"103","ipdsId":"IP-096377","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":404533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.299072265625,\n 43.060861371343236\n ],\n [\n -75.333251953125,\n 43.060861371343236\n ],\n [\n -75.333251953125,\n 44.53567453241317\n ],\n [\n -80.299072265625,\n 44.53567453241317\n ],\n [\n -80.299072265625,\n 43.060861371343236\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":847698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoyle, James A.","contributorId":197958,"corporation":false,"usgs":false,"family":"Hoyle","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":847699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connerton, Michael","contributorId":251649,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":847700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, Jeremy","contributorId":139654,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":847701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vinson, Mark R. 0000-0001-5256-9539 mvinson@usgs.gov","orcid":"https://orcid.org/0000-0001-5256-9539","contributorId":3800,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark","email":"mvinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":847702,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240372,"text":"70240372 - 2021 - A review of sea lamprey dispersal and population structure in the Great Lakes and the implications for control","interactions":[],"lastModifiedDate":"2023-02-07T13:24:47.420744","indexId":"70240372","displayToPublicDate":"2021-12-13T07:21:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A review of sea lamprey dispersal and population structure in the Great Lakes and the implications for control","docAbstract":"

Understanding the population structure of invasive sea lamprey (Petromyzon marinus) in the Great Lakes basin is essential for an effective control program. We review knowledge of lake connectivity, dispersal during the parasitic stage, and results from phenotypic, demographic, and genetic studies to evaluate how sea lamprey populations are structured. There is no evidence for contemporary movement between Lake Ontario and the Atlantic population, although it appears possible. Dispersal between Lake Ontario and the Finger Lakes is more likely, as is contemporary movement between Lakes Ontario and Erie via the Welland Canal, although neither has been directly observed. Downstream movement from Lake Erie to Lake Ontario via the Niagara River has been reported. Bidirectional movement between Lakes Erie and Huron has been observed, and movement of sea lamprey among the upper Great Lakes (especially between Lakes Huron and Michigan) is relatively common, although complete mixing likely does not occur. The maximum straight-line dispersal distance reported for a tagged sea lamprey was 628 km between the St. Marys River and western Lake Erie. Genetic population studies using a variety of molecular markers generally found weak but significant broad-scale population structure (e.g., between freshwater and anadromous populations, and among Lake Ontario, Lake Erie, and the upper Great Lakes), but finer-scale structure was rarely detected. Nevertheless, some within-basin structure is suggested by regional differences in phenotypic and demographic traits (e.g., sex ratio, body size). Further study will be important because management is most efficiently targeted when the geography of demographically independent populations is well-characterized.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.09.015","usgsCitation":"Docker, M.F., Bravener, G., Garroway, C., Hrodey, P.J., Hume, J.B., Johnson, N., Lewandoski, S.A., Ogden, J.L., and Zollweg-Horan, E.C., 2021, A review of sea lamprey dispersal and population structure in the Great Lakes and the implications for control: Journal of Great Lakes Research, v. 47, no. S1, p. S549-S569, https://doi.org/10.1016/j.jglr.2021.09.015.","productDescription":"21 p.","startPage":"S549","endPage":"S569","ipdsId":"IP-132836","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":450027,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.09.015","text":"Publisher Index Page"},{"id":412809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.95267129322733,\n 42.97494095274709\n ],\n [\n -74.88445295349614,\n 42.97494095274709\n ],\n [\n -74.88445295349614,\n 44.751621962677746\n ],\n [\n -80.95267129322733,\n 44.751621962677746\n ],\n [\n -80.95267129322733,\n 42.97494095274709\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","issue":"S1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Docker, Margaret F.","contributorId":195099,"corporation":false,"usgs":false,"family":"Docker","given":"Margaret","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":863612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bravener, Gale","contributorId":150995,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":863613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garroway, Colin J","contributorId":302145,"corporation":false,"usgs":false,"family":"Garroway","given":"Colin J","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":863614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hrodey, Peter J.","contributorId":205578,"corporation":false,"usgs":false,"family":"Hrodey","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":6599,"text":"U.S. Fish and Wildlife Service, Marquette Biological Station","active":true,"usgs":false}],"preferred":false,"id":863615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hume, John B.","contributorId":150987,"corporation":false,"usgs":false,"family":"Hume","given":"John","email":"","middleInitial":"B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":863616,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":863617,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lewandoski, Sean A.","contributorId":221007,"corporation":false,"usgs":false,"family":"Lewandoski","given":"Sean","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":863618,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ogden, Jessie L","contributorId":302148,"corporation":false,"usgs":false,"family":"Ogden","given":"Jessie","email":"","middleInitial":"L","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":863619,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zollweg-Horan, Emily C","contributorId":302149,"corporation":false,"usgs":false,"family":"Zollweg-Horan","given":"Emily","email":"","middleInitial":"C","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":863620,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70226730,"text":"tm4B6 - 2021 - Historical and paleoflood analyses for probabilistic flood-hazard assessments—Approaches and review guidelines","interactions":[],"lastModifiedDate":"2021-12-08T11:59:24.716062","indexId":"tm4B6","displayToPublicDate":"2021-12-07T14:15:55","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-B6","displayTitle":"Historical and Paleoflood Analyses for Probabilistic Flood-Hazard Assessments—Approaches and Review Guidelines","title":"Historical and paleoflood analyses for probabilistic flood-hazard assessments—Approaches and review guidelines","docAbstract":"

Paleoflood studies are an effective means of providing specific information on the recurrence and magnitude of rare and large floods. Such information can be combined with systematic flood measurements to better assess the frequency of large floods. Paleoflood data also provide valuable information about the linkages among climate, land use, flood-hazard assessments, and channel morphology. This document summarizes methods and techniques for the preparation, gathering, evaluation, and interpretation of paleoflood information, including uncertainties, especially with respect to new statistical approaches available to efficiently use such data. We summarize best practices and strategies for assessing and mitigating uncertainties and provide guidelines on appropriate technical review of paleoflood analyses based on project goals and requirements.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4B6","collaboration":"Prepared in cooperation with the Nuclear Regulatory Commission","usgsCitation":"Harden, T.M., Ryberg, K.R., O’Connor, J.E., Friedman, J.M., and Kiang, J.E., 2021, Historical and paleoflood analyses for probabilistic flood-hazard assessments—Approaches and review guidelines: U.S. Geological Survey Techniques and Methods, book 4, chap. B6, 91 p., https://doi.org/10.3133/tm4B6.","productDescription":"vii, 91 p.","onlineOnly":"Y","ipdsId":"IP-123028","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":392605,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/04/b06/tm4b6.pdf","text":"Report","size":"18.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 4-B6"},{"id":392604,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/04/b06/coverthb.jpg"}],"contact":"

Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 92701

","tableOfContents":"","publishedDate":"2021-12-07","noUsgsAuthors":false,"publicationDate":"2021-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Harden, Tessa M. 0000-0001-9854-1347 tharden@usgs.gov","orcid":"https://orcid.org/0000-0001-9854-1347","contributorId":192153,"corporation":false,"usgs":true,"family":"Harden","given":"Tessa","email":"tharden@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":828011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":828012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":828013,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70229409,"text":"70229409 - 2021 - A statistical framework to track temporal dependence of chlorophyll–nutrient relationships with implications for lake eutrophication management","interactions":[],"lastModifiedDate":"2022-03-07T12:28:13.441591","indexId":"70229409","displayToPublicDate":"2021-12-06T06:25:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A statistical framework to track temporal dependence of chlorophyll–nutrient relationships with implications for lake eutrophication management","docAbstract":"

A reliable chlorophyll–nutrient relationship (CNR) is essential for lake eutrophication management. Although the spatial variability of CNRs has been extensively explored, temporal variations of CNRs at the individual lake scale has rarely been discussed. The paucity of information about temporal dependence in CNRs may in part be due to the lack of a suitable statistical framework that helps guide such investigations. In order to reveal temporal dependence of CNR, this study develop a novel statistical framework. In the framework, we employ quantile regression to generate overall (the entire dataset), annual (subsets for each year), and accumulative (subsets collected before a certain year) CNRs. We aim to 1) show biases of annual relationships by comparing the overall and annual relationships and 2) determine whether or not data accumulation is enough to develop a reliable CNR. We use Lake Champlain and Lake Kasumigaura as case studies to illustrate the necessary steps needed to utilize this novel framework. Results show that large interannual variations exist for CNRs. Accumulative relationships tend to converge to the overall relationship, indicating that overall relationships are reliable for informing lake-specific eutrophication management in the two case study lakes. The novel statistical framework that we propose for a procedure to estimate reliable CNRs is important for informing lake-specific eutrophication control decision-making processes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2021.127134","usgsCitation":"Qiu, Q., Liang, Z., Xu, Y., Matsuzaki, S.S., Komatsu, K., and Wagner, T., 2021, A statistical framework to track temporal dependence of chlorophyll–nutrient relationships with implications for lake eutrophication management: Journal of Hydrology, v. 603, no. Part D, 127134, 10 p., https://doi.org/10.1016/j.jhydrol.2021.127134.","productDescription":"127134, 10 p.","ipdsId":"IP-124914","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":450086,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2021.127134","text":"Publisher Index Page"},{"id":396776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"603","issue":"Part D","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Qiu, Qianlinglin","contributorId":288047,"corporation":false,"usgs":false,"family":"Qiu","given":"Qianlinglin","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":837298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liang, Zhongyao","contributorId":288053,"corporation":false,"usgs":false,"family":"Liang","given":"Zhongyao","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":837302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Yaoyang","contributorId":288048,"corporation":false,"usgs":false,"family":"Xu","given":"Yaoyang","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":837299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matsuzaki, Shin-ichiro S.","contributorId":288050,"corporation":false,"usgs":false,"family":"Matsuzaki","given":"Shin-ichiro","email":"","middleInitial":"S.","affiliations":[{"id":61688,"text":"National Institute for Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":837300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Komatsu, Kazuhiro","contributorId":288052,"corporation":false,"usgs":false,"family":"Komatsu","given":"Kazuhiro","affiliations":[{"id":61688,"text":"National Institute for Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":837301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":837297,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262310,"text":"70262310 - 2021 - Wild juvenile salmonid abundance in Wisconsin tributaries indicates limited contributions to Lake Michigan fisheries","interactions":[],"lastModifiedDate":"2025-01-21T15:48:39.387037","indexId":"70262310","displayToPublicDate":"2021-12-06T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Wild juvenile salmonid abundance in Wisconsin tributaries indicates limited contributions to Lake Michigan fisheries","docAbstract":"

Natural reproduction of salmonids occurs in many Lake Michigan tributaries, yet little is known about abundance and the potential contribution of wild fish hatching in Wisconsin tributaries. The objectives of our study were to determine if: 1) abundance of wild juvenile salmonids (primarily adfluvial rainbow trout, Oncorhynchus mykiss, referred to as steelhead) varied among selected Wisconsin streams based on available spawning and age-0 habitat; 2) stream temperature regimes could limit survival of juvenile salmonids, and 3) wild juvenile salmonids outmigrate from Wisconsin tributaries into Lake Michigan or larger tributaries. In 2016 and 2017, juvenile salmonid abundance was estimated in six Wisconsin tributaries to Lake Michigan by multiple-pass depletion sampling using backpack electrofishing. Habitat assessments included steelhead redd surveys, age-0 habitat surveys, and stream temperatures were monitored using in-stream loggers. Passive integrated transponder (PIT) tagging and PIT antennas were used to detect outmigration from three streams (Willow, Stony and Hibbard creeks). Population estimates for individual streams ranged from 75-2,276 for juvenile steelhead and from 0-243 for juvenile coho salmon, Oncorhynchus kisutch. No correlation was detected between juvenile steelhead abundance and quality age-0 habitat. Stream temperatures rarely exceeded the thermal limit for steelhead (27°C). Outmigration rates for three streams ranged from 0.6%-3.1%, but these estimates were considered minimum values. Low abundance of wild juvenile steelhead and coho salmon alone suggest that the contributions of these tributaries to Lake Michigan fisheries are likely small. Furthermore, relying on returns of wild steelhead produced in these streams is probably insufficient to maintain stream fisheries.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.10.005","usgsCitation":"Wegleitner, E., Raabe, J., Dembkowski, D., Legler, N., and Isermann, D.A., 2021, Wild juvenile salmonid abundance in Wisconsin tributaries indicates limited contributions to Lake Michigan fisheries: Journal of Great Lakes Research, v. 47, no. 6, p. 1824-1835, https://doi.org/10.1016/j.jglr.2021.10.005.","productDescription":"12 p.","startPage":"1824","endPage":"1835","ipdsId":"IP-123732","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Manitowoc County, Ozaukee County, Sheboygan County","otherGeospatial":"Lake 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Eric","contributorId":348814,"corporation":false,"usgs":false,"family":"Wegleitner","given":"Eric","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":923799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raabe, Joshua","contributorId":348815,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":923800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dembkowski, Daniel","contributorId":348816,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":923801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Legler, Nicholas","contributorId":348817,"corporation":false,"usgs":false,"family":"Legler","given":"Nicholas","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":923802,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923798,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227256,"text":"70227256 - 2021 - Diet-driven mercury contamination is associated with polar bear gut microbiota","interactions":[],"lastModifiedDate":"2022-01-05T13:26:37.237021","indexId":"70227256","displayToPublicDate":"2021-12-03T07:25:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Diet-driven mercury contamination is associated with polar bear gut microbiota","docAbstract":"

The gut microbiota may modulate the disposition and toxicity of environmental contaminants within a host but, conversely, contaminants may also impact gut bacteria. Such contaminant-gut microbial connections, which could lead to alteration of host health, remain poorly known and are rarely studied in free-ranging wildlife. The polar bear (Ursus maritimus) is a long-lived, wide-ranging apex predator that feeds on a variety of high trophic position seal and cetacean species and, as such, is exposed to among the highest levels of biomagnifying contaminants of all Arctic species. Here, we investigate associations between mercury (THg; a key Arctic contaminant), diet, and the diversity and composition of the gut microbiota of polar bears inhabiting the southern Beaufort Sea, while accounting for host sex, age class and body condition. Bacterial diversity was negatively associated with seal consumption and mercury, a pattern seen for both Shannon and Inverse Simpson alpha diversity indices (adjusted R2 = 0.35, F1,18 = 8.00, P = 0.013 and adjusted R2 = 0.26, F1,18 = 6.04, P = 0.027, respectively). No association was found with sex, age class or body condition of polar bears. Bacteria known to either be involved in THg methylation or considered to be highly contaminant resistant, including Lactobacillales, Bacillales and Aeromonadales, were significantly more abundant in individuals that had higher THg concentrations. Conversely, individuals with higher THg concentrations showed a significantly lower abundance of Bacteroidales, a bacterial order that typically plays an important role in supporting host immune function by stimulating intraepithelial lymphocytes within the epithelial barrier. These associations between diet-acquired mercury and microbiota illustrate a potentially overlooked outcome of mercury accumulation in polar bears.

","language":"English","publisher":"Nature","doi":"10.1038/s41598-021-02657-6","usgsCitation":"Watson, S., McKinney, M., Pindo, M., Bull, M., Atwood, T.C., Hauffe, H., and Perkins, S., 2021, Diet-driven mercury contamination is associated with polar bear gut microbiota: Scientific Reports, v. 11, 23372, 11 p., https://doi.org/10.1038/s41598-021-02657-6.","productDescription":"23372, 11 p.","ipdsId":"IP-128949","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":450094,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-02657-6","text":"Publisher Index Page"},{"id":436106,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92XAUH9","text":"USGS data release","linkHelpText":"Mercury Concentrations, Diet, and Gut Microbiota Diversity of Southern Beaufort Sea Polar Bears, 2008-2019"},{"id":393908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2021-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Sophie","contributorId":222143,"corporation":false,"usgs":false,"family":"Watson","given":"Sophie","email":"","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":830132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Melissa","contributorId":222146,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":830133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pindo, Massimo","contributorId":222147,"corporation":false,"usgs":false,"family":"Pindo","given":"Massimo","email":"","affiliations":[{"id":40495,"text":"Fondazione Edmund Mach","active":true,"usgs":false}],"preferred":false,"id":830134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bull, Matthew","contributorId":222145,"corporation":false,"usgs":false,"family":"Bull","given":"Matthew","email":"","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":830135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":830136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hauffe, Heidi","contributorId":222144,"corporation":false,"usgs":false,"family":"Hauffe","given":"Heidi","email":"","affiliations":[{"id":40495,"text":"Fondazione Edmund Mach","active":true,"usgs":false}],"preferred":false,"id":830137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perkins, Sarah","contributorId":168336,"corporation":false,"usgs":false,"family":"Perkins","given":"Sarah","affiliations":[{"id":25257,"text":"Battelle Memorial Institute","active":true,"usgs":false}],"preferred":false,"id":830138,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70226872,"text":"70226872 - 2021 - Dispersion and stratification dynamics in the upper Sacramento River deep water ship channel","interactions":[],"lastModifiedDate":"2021-12-17T14:52:22.814771","indexId":"70226872","displayToPublicDate":"2021-12-01T08:45:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Dispersion and stratification dynamics in the upper Sacramento River deep water ship channel","docAbstract":"

Hydrodynamics control the movement of water and material within and among habitats, where time-scales of mixing can exert bottom-up regulatory effects on aquatic ecosystems through their influence on primary production. The San Francisco Estuary (estuary) is a low-productivity ecosystem, which is in part responsible for constraining higher trophic levels, including fishes. Many research and habitat-restoration efforts trying to increase primary production have been conducted, including, as described here, a whole-ecosystem nutrient addition experiment where calcium nitrate was applied in the Sacramento River Deep Water Ship Channel (DWSC) to see if phytoplankton production could be increased and exported out of the DWSC. As an integral part of this experiment, we investigated the physical mechanisms that control mixing, and how these mechanisms affect the strength and duration of thermal stratification, which we revealed as critical for controlling phytoplankton dynamics in the relatively turbid upper DWSC. Analysis of a suite of mixing mechanisms and time-scales show that both tidal currents and wind control mixing rates and stratification dynamics in the DWSC. Longitudinal and vertical dispersion increased during periods of high wind, during which wind speed influenced dispersion more than tidal currents. Thermal stratification developed most days, which slowed vertical mixing but was rapidly broken down by wind-induced mixing. Stratification rarely persisted for longer than 24 hours, limiting phytoplankton production in the study area. The interaction between physical mechanisms that control mixing rates, mediate stratification dynamics, and ultimately limit primary production in the DWSC may be useful in informing habitat restoration elsewhere in the Delta and in other turbid aquatic environments.

","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2021v19iss4art5","usgsCitation":"Lenoch, L., Stumpner, P., Burau, J.R., Loken, L.C., and Sadro, S., 2021, Dispersion and stratification dynamics in the upper Sacramento River deep water ship channel: San Francisco Estuary and Watershed Science, v. 19, no. 4, 5, 30 p., https://doi.org/10.15447/sfews.2021v19iss4art5.","productDescription":"5, 30 p.","ipdsId":"IP-125060","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":450107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2021v19iss4art5","text":"Publisher Index Page"},{"id":393047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"upper Sacramento River Deep Water Ship Channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.87683105468749,\n 38.05890484918669\n ],\n [\n -121.5472412109375,\n 38.05890484918669\n ],\n [\n -121.5472412109375,\n 38.617943458629746\n ],\n [\n -121.87683105468749,\n 38.617943458629746\n ],\n [\n -121.87683105468749,\n 38.05890484918669\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-12-13","publicationStatus":"PW","contributors":{"authors":[{"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":828556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stumpner, Paul 0000-0002-0933-7895 pstump@usgs.gov","orcid":"https://orcid.org/0000-0002-0933-7895","contributorId":5667,"corporation":false,"usgs":true,"family":"Stumpner","given":"Paul","email":"pstump@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burau, Jon R. 0000-0002-5196-5035 jrburau@usgs.gov","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":1500,"corporation":false,"usgs":true,"family":"Burau","given":"Jon","email":"jrburau@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sadro, Steven 0000-0002-6416-3840","orcid":"https://orcid.org/0000-0002-6416-3840","contributorId":139662,"corporation":false,"usgs":false,"family":"Sadro","given":"Steven","email":"","affiliations":[{"id":12871,"text":"Marine Science Institute, University of California, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":828560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}