{"pageNumber":"659","pageRowStart":"16450","pageSize":"25","recordCount":184884,"records":[{"id":70213258,"text":"70213258 - 2020 - Multiple elements of soil biodiversity drive ecosystem functions across biomes","interactions":[],"lastModifiedDate":"2020-09-16T14:16:33.909183","indexId":"70213258","displayToPublicDate":"2020-02-03T09:02:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6505,"text":"Nature Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Multiple elements of soil biodiversity drive ecosystem functions across biomes","docAbstract":"<p><span>The role of soil biodiversity in regulating multiple ecosystem functions is poorly understood, limiting our ability to predict how soil biodiversity loss might affect human wellbeing and ecosystem sustainability. Here, combining a global observational study with an experimental microcosm study, we provide evidence that soil biodiversity (bacteria, fungi, protists and invertebrates) is significantly and positively associated with multiple ecosystem functions. These functions include nutrient cycling, decomposition, plant production, and reduced potential for pathogenicity and belowground biological warfare. Our findings also reveal the context dependency of such relationships and the importance of the connectedness, biodiversity and nature of the globally distributed dominant phylotypes within the soil network in maintaining multiple functions. Moreover, our results suggest that the positive association between plant diversity and multifunctionality across biomes is indirectly driven by soil biodiversity. Together, our results provide insights into the importance of soil biodiversity for maintaining soil functionality locally and across biomes, as well as providing strong support for the inclusion of soil biodiversity in conservation and management programmes.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41559-019-1084-y","usgsCitation":"Delgado-Baquerizo, M., Reich, P., Trivedi, M., Eldridge, D.J., Abades, S., Alfaro, F.D., Bastida, F., Berhe, A.A., Cutler, N.A., Gallardo, A., Garcia-Velazquez, L., Hart, S., Hayes, P.E., He, J., Hseu, Z., Hu, H., Kirchmair, M., Neuhauser, S., Perez, C.A., Reed, S.C., Santos, F., Sullivan, B., Trivedi, P., Wang, J., Weber-Grullon, L., Williams, M., and Singh, B.K., 2020, Multiple elements of soil biodiversity drive ecosystem functions across biomes: Nature Ecology and Evolution, v. 4, p. 210-220, https://doi.org/10.1038/s41559-019-1084-y.","productDescription":"11 p.","startPage":"210","endPage":"220","ipdsId":"IP-110876","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467299,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1784143","text":"External Repository"},{"id":378451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationDate":"2020-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Delgado-Baquerizo, Manuel","contributorId":61695,"corporation":false,"usgs":true,"family":"Delgado-Baquerizo","given":"Manuel","affiliations":[],"preferred":false,"id":798881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Peter B.","contributorId":75835,"corporation":false,"usgs":true,"family":"Reich","given":"Peter 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A.","contributorId":214701,"corporation":false,"usgs":false,"family":"Berhe","given":"Asmeret","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":798888,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cutler, Nick A.","contributorId":214703,"corporation":false,"usgs":false,"family":"Cutler","given":"Nick","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":798889,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gallardo, Antonio","contributorId":52024,"corporation":false,"usgs":true,"family":"Gallardo","given":"Antonio","email":"","affiliations":[],"preferred":false,"id":798890,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Garcia-Velazquez, Laura","contributorId":240756,"corporation":false,"usgs":false,"family":"Garcia-Velazquez","given":"Laura","affiliations":[],"preferred":false,"id":798891,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hart, Stephen 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Hang-Wei","contributorId":240759,"corporation":false,"usgs":false,"family":"Hu","given":"Hang-Wei","email":"","affiliations":[],"preferred":false,"id":798896,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kirchmair, Martin","contributorId":214706,"corporation":false,"usgs":false,"family":"Kirchmair","given":"Martin","email":"","affiliations":[],"preferred":false,"id":798897,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Neuhauser, Sigrid","contributorId":214697,"corporation":false,"usgs":false,"family":"Neuhauser","given":"Sigrid","email":"","affiliations":[],"preferred":false,"id":798898,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Perez, Cecilia A.","contributorId":214708,"corporation":false,"usgs":false,"family":"Perez","given":"Cecilia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":798899,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Reed, Sasha C. 0000-0002-8597-8619 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Pankaj","contributorId":240760,"corporation":false,"usgs":false,"family":"Trivedi","given":"Pankaj","email":"","affiliations":[],"preferred":false,"id":798903,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Wang, Jun-Tao","contributorId":240761,"corporation":false,"usgs":false,"family":"Wang","given":"Jun-Tao","email":"","affiliations":[],"preferred":false,"id":798904,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Weber-Grullon, Luis","contributorId":214711,"corporation":false,"usgs":false,"family":"Weber-Grullon","given":"Luis","email":"","affiliations":[],"preferred":false,"id":798905,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Williams, Mark","contributorId":214696,"corporation":false,"usgs":false,"family":"Williams","given":"Mark","affiliations":[],"preferred":false,"id":798906,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Singh, Brajesh K.","contributorId":240762,"corporation":false,"usgs":false,"family":"Singh","given":"Brajesh","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":798907,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}}
,{"id":70211049,"text":"70211049 - 2020 - Osmoregulatory role of the intestine in the sea lamprey (Petromyzon marinus)","interactions":[],"lastModifiedDate":"2020-07-13T13:43:01.891684","indexId":"70211049","displayToPublicDate":"2020-02-03T08:40:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":730,"text":"American Journal of Physiology - Regulatory, Integrative and Comparative Physiology","onlineIssn":"1522-1490","printIssn":"0363-6119","active":true,"publicationSubtype":{"id":10}},"title":"Osmoregulatory role of the intestine in the sea lamprey (Petromyzon marinus)","docAbstract":"Lampreys are the most basal vertebrates with an osmoregulatory strategy.   Previous research has established that salinity tolerance of sea lamprey increases dramatically during metamorphosis, but underlying changes in the gut have not been examined.  In the present work, we examined changes in intestinal function during metamorphosis and seawater exposure of sea lamprey (Petromyzon marinus).  Fully metamorphosed sea lamprey had 100 % survival after direct exposure to 35 ppt SW and only slight elevations in plasma chloride (Cl-) levels.  Drinking rates of sea lamprey juveniles in seawater were 26-fold higher than juveniles in FW.  Na+/K+-ATPase (NKA) activity in the anterior and posterior intestine increased 12- and 3-fold respectively during metamorphosis, whereas esophageal NKA activity was lower than in the intestine and did not change with development.  Acclimation to SW significantly enhanced NKA activity in the posterior intestine but did not significantly change NKA activity in the anterior intestine which remained higher than that in the posterior intestine.  Intestinal Cl- and water uptake, which was observed in ex vivo preparations of anterior and posterior intestine under both symmetric and asymmetric conditions, were higher in juveniles than in larvae and were similar in magnitude of those of teleost fish.  Inhibition of NKA by ouabain in ex vivo preparations inhibited intestinal water absorption by 64 %.  Our results suggest drinking and intestinal ion and water absorption are important to osmoregulation in SW, and that preparatory increases in intestinal NKA activity are important to the development of salinity tolerance that occurs during sea lamprey metamorphosis.","language":"English","publisher":"American Physiological Society","doi":"10.1152/ajpregu.00033.2019","usgsCitation":"Barany, A., Shaughnessy, C.A., Fuentes, J., Mancera, J.M., and McCormick, S.D., 2020, Osmoregulatory role of the intestine in the sea lamprey (Petromyzon marinus): American Journal of Physiology - Regulatory, Integrative and Comparative Physiology, v. 318, no. 2, p. R410-R417, https://doi.org/10.1152/ajpregu.00033.2019.","productDescription":"8 p.","startPage":"R410","endPage":"R417","ipdsId":"IP-098674","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":457892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1152/ajpregu.00033.2019","text":"Publisher Index Page"},{"id":376292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"318","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barany, Andre","contributorId":228958,"corporation":false,"usgs":false,"family":"Barany","given":"Andre","email":"","affiliations":[{"id":41532,"text":"Univ of Cadiz","active":true,"usgs":false}],"preferred":false,"id":792596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaughnessy, Ciaran A 0000-0003-2146-9126","orcid":"https://orcid.org/0000-0003-2146-9126","contributorId":228911,"corporation":false,"usgs":false,"family":"Shaughnessy","given":"Ciaran","email":"","middleInitial":"A","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":792597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuentes, Juan","contributorId":228959,"corporation":false,"usgs":false,"family":"Fuentes","given":"Juan","email":"","affiliations":[{"id":41533,"text":"Univ Algarve","active":true,"usgs":false}],"preferred":false,"id":792598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mancera, Juan M","contributorId":228960,"corporation":false,"usgs":false,"family":"Mancera","given":"Juan","email":"","middleInitial":"M","affiliations":[{"id":41534,"text":"Univ Cadiz","active":true,"usgs":false}],"preferred":false,"id":792599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":792600,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211512,"text":"70211512 - 2020 - Characterization of pallid sturgeon (Scaphirhynchus albus) spawning habitat in the Lower Missouri River","interactions":[],"lastModifiedDate":"2020-07-30T14:23:47.074825","indexId":"70211512","displayToPublicDate":"2020-02-03T08:21:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Characterization of pallid sturgeon (<i>Scaphirhynchus albus</i>) spawning habitat in the Lower Missouri River","title":"Characterization of pallid sturgeon (Scaphirhynchus albus) spawning habitat in the Lower Missouri River","docAbstract":"Acipenseriformes (sturgeons and paddlefish) globally have declined throughout their range due to river fragmentation, habitat loss, overfishing, and degradation of water quality. In North America, pallid sturgeon (Scaphirhynchus albus) populations have experienced poor to no recruitment, or substantial levels of hybridization with the closely related shovelnose sturgeon (S. platorynchus). The Lower Missouri River is the only portion of the species’ range where successful reproduction and recruitment of genetically pure pallid sturgeon have been documented. This paper documents spawning habitat and behavior on the Lower Missouri River, which comprises over 1,300 km of unfragmented river habitat. The objective of this study was to determine spawning locations and describe habitat characteristics and environmental conditions (depth, water velocity, substrate, discharge, temperature, and turbidity) on the Lower Missouri River. We measured habitat characteristics for spawning events of ten telemetry‐tagged female pallid sturgeon from 2008–2013 that occurred in discrete reaches distributed over hundreds of kilometers. These results show pallid sturgeon select deep and fast areas in or near the navigation channel along outside revetted banks for spawning. These habitats are deeper and faster than nearby river habitats within the surrounding river reach. Spawning patches have a mean depth of 6.6 m and a mean depth‐averaged water‐column velocity of 1.4 m per second. Substrates in spawning patches consist of coarse bank revetment, gravel, sand, and bedrock. Results indicate habitat used by pallid sturgeon for spawning is more common and widespread in the present‐day channelized Lower Missouri River relative to the sparse and disperse coarse substrates available prior to channelization. Understanding the spawning habitats currently utilized on the Lower Missouri River and if they are functioning properly is important for improving habitat remediation measures aimed at increasing reproductive success. Recovery efforts for pallid sturgeon on the Missouri River, if successful, can provide guidance to sturgeon recovery on other river systems; particularly large, regulated, and channelized rivers.","language":"English","publisher":"Wiley","doi":"10.1111/jai.13994","usgsCitation":"Elliott, C.M., Delonay, A.J., Chojnacki, K., and Jacobson, R.B., 2020, Characterization of pallid sturgeon (Scaphirhynchus albus) spawning habitat in the Lower Missouri River: Journal of Applied Ichthyology, v. 36, no. 1, p. 25-38, https://doi.org/10.1111/jai.13994.","productDescription":"14 p.","startPage":"25","endPage":"38","ipdsId":"IP-108789","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":457894,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13994","text":"Publisher Index Page"},{"id":437128,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7639P23","text":"USGS data release","linkHelpText":"Pallid Sturgeon Spawning Habitat in the Lower Missouri River"},{"id":376836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri, Nebraska, Wyoming, Montana, North Dakota, South Dakota","otherGeospatial":"Missouri River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.97753906249999,\n              38.75408327579141\n            ],\n            [\n              -96.6796875,\n              43.67581809328341\n            ],\n            [\n              -99.5361328125,\n              48.019324184801185\n            ],\n            [\n              -101.5576171875,\n              48.922499263758255\n            ],\n            [\n              -114.82910156249999,\n              49.095452162534826\n            ],\n            [\n              -108.5009765625,\n              42.8115217450979\n            ],\n            [\n              -97.2509765625,\n              40.44694705960048\n            ],\n            [\n              -91.97753906249999,\n              38.75408327579141\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":794428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLonay, Aaron J. 0000-0002-3752-2799 adelonay@usgs.gov","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":2725,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"adelonay@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":794429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chojnacki, Kimberly 0000-0001-6091-3977 kchojnacki@usgs.gov","orcid":"https://orcid.org/0000-0001-6091-3977","contributorId":221080,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":794430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":794431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210429,"text":"70210429 - 2020 - Biomarker similarities between the saline lacustrine Eocene Green River and the Paleoproterozoic Barney Creek Formations","interactions":[],"lastModifiedDate":"2020-06-03T13:17:52.472131","indexId":"70210429","displayToPublicDate":"2020-02-03T08:12:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Biomarker similarities between the saline lacustrine Eocene Green River and the Paleoproterozoic Barney Creek Formations","docAbstract":"The Paleoproterozoic Barney Creek Formation, which is currently interpreted as a restricted, deep marine paleoenvironment, plays a disproportionate role in our understanding of Proterozoic ocean chemistry and the rise of complex life. The Barney Creek Formation hosts several unusual biomarker features, specifically its methylhopane and carotenoid signatures. Herein, we demonstrate that the saline lacustrine Eocene Green River Formation shares a similar distribution of methylhopanes and carotenoids, which is characteristic of saline lacustrine organic matter more generally. These distinct methylhopane and carotenoid patterns are not observed together in marine organic matter of any geologic age. These results imply a saline lacustrine depositional environment for the Barney Creek Formation, which agrees with earlier but now abandoned depositional models of this formation. As a result, models of Proterozoic ocean chemistry and emergence of complex life that rely on a marine Barney Creek Formation should be re-examined. Alternatively, if Paleoproterozoic marine biomarker signatures resemble those of younger saline lacustrine systems, then this must be recognized to accurately interpret geologic biomarker and paleoenvironmental records.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2020.01.053","usgsCitation":"French, K.L., Birdwell, J.E., and Vanden Berg, M., 2020, Biomarker similarities between the saline lacustrine Eocene Green River and the Paleoproterozoic Barney Creek Formations: Geochimica et Cosmochimica Acta, v. 274, p. 228-245, https://doi.org/10.1016/j.gca.2020.01.053.","productDescription":"18 p.","startPage":"228","endPage":"245","ipdsId":"IP-112893","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":375309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.70898437499999,\n              38.03078569382294\n            ],\n            [\n              -105.9521484375,\n              38.03078569382294\n            ],\n            [\n              -105.9521484375,\n              41.0130657870063\n            ],\n            [\n              -111.70898437499999,\n              41.0130657870063\n            ],\n            [\n              -111.70898437499999,\n              38.03078569382294\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"274","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":790265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":790266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vanden Berg, Michael","contributorId":225089,"corporation":false,"usgs":false,"family":"Vanden Berg","given":"Michael","affiliations":[{"id":17626,"text":"Utah Geological Survey","active":true,"usgs":false}],"preferred":false,"id":790267,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211036,"text":"70211036 - 2020 - Divergent genes encoding the putative receptors for growth hormone and prolactin in sea lamprey display distinct patterns of expression","interactions":[],"lastModifiedDate":"2020-07-13T12:55:30.132188","indexId":"70211036","displayToPublicDate":"2020-02-03T07:53:08","publicationYear":"2020","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":"Divergent genes encoding the putative receptors for growth hormone and prolactin in sea lamprey display distinct patterns of expression","docAbstract":"Growth hormone receptor (GHR) and prolactin receptor (PRLR) in jawed vertebrates were thought to arise after the divergence of gnathostomes from a basal vertebrate. In this study we have identified two genes encoding putative GHR and PRLR in sea lamprey (Petromyzon marinus) and Arctic lamprey (Lethenteron camtschaticum), extant members of one of the oldest vertebrate groups, agnathans. Phylogenetic analysis revealed that lamprey GHR and PRLR cluster at the base of gnathostome GHR and PRLR clades, respectively. This indicates that distinct GHR and PRLR arose prior to the emergence of the lamprey branch of agnathans. In the sea lamprey, GHR and PRLR displayed a differential but overlapping pattern of expression; GHR had high expression in liver and heart tissues, whereas PRLR was expressed highly in the brain and moderately in osmoregulatory tissues. Branchial PRLR mRNA levels were significantly elevated by stage 5 of metamorphosis and remained elevated through stage 7, whereas levels of GHR mRNA were only elevated in the final stage (7). Branchial expression of GHR increased following seawater (SW) exposure of juveniles, but expression of PRLR was not significantly altered. The results indicate that GHR and PRLR may both participate in metamorphosis and that GHR may mediate SW acclimation.","language":"English","publisher":"Nature","doi":"10.1038/s41598-020-58344-5","usgsCitation":"Gong, N., Ferreira-Martins, D., McCormick, S.D., and Sheridan, M., 2020, Divergent genes encoding the putative receptors for growth hormone and prolactin in sea lamprey display distinct patterns of expression: Scientific Reports, v. 10, no. 1, 1674, 11 p., https://doi.org/10.1038/s41598-020-58344-5.","productDescription":"1674, 11 p.","ipdsId":"IP-100697","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":457897,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-58344-5","text":"Publisher Index Page"},{"id":376273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Gong, Ningping","contributorId":228919,"corporation":false,"usgs":false,"family":"Gong","given":"Ningping","email":"","affiliations":[{"id":41526,"text":"Univ of Texas, Lubbock","active":true,"usgs":false}],"preferred":false,"id":792529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferreira-Martins, Diogo","contributorId":228920,"corporation":false,"usgs":false,"family":"Ferreira-Martins","given":"Diogo","email":"","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":792530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":792531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sheridan, Mark","contributorId":228921,"corporation":false,"usgs":false,"family":"Sheridan","given":"Mark","affiliations":[{"id":41527,"text":"Univ of Texas Lubbock","active":true,"usgs":false}],"preferred":false,"id":792532,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208643,"text":"70208643 - 2020 - Persistence and plasticity in conifer water-use strategies","interactions":[],"lastModifiedDate":"2020-02-25T06:33:22","indexId":"70208643","displayToPublicDate":"2020-02-03T06:46:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Persistence and plasticity in conifer water-use strategies","docAbstract":"The selective use of seasonal precipitation by vegetation is critical to understanding the residence time and flow path of water in watersheds, yet there are limited datasets to test how climate alters these dynamics. Here, we use measurements of the seasonal cycle of tree ring 18O for two widespread conifer species in the Rocky Mountains of North America to provide a multi-decadal depiction of the seasonal origins of forest water use. The results show that while the conifer tree stands had a dominant preference for use of snowmelt, there were multi-annual periods over the last four decades when use of summer precipitation was preferential. Utilization of summer rain emerged during years with increased snowfall and tree growth, suggesting that summer rain enhanced the transpiration stream only during the periods of highest water use. We hypothesize this could be explained through shallowing of the root profile during wetter periods and/or through the influence of changing water table depths on the residence time of summer precipitation in the root zone. We suggest the tree ring proxy approach used here could be applied in other watersheds to provide critical insight into the temporal dynamics of plant water use that could not be inferred from short measurement campaigns. These data on the seasonal origins of forest water are critical for understanding forest vulnerability to drought, the processes that affect precipitation pathways and residence time in watersheds and the interpretation of tree ring proxy data.","language":"English","publisher":"AGU","doi":"10.1029/2018JG004845","usgsCitation":"Berkelhammer, M., Still, C., Ritter, F., Winnik, M., Anderson, L., Carroll, R., Carbone, M., and Williams, K., 2020, Persistence and plasticity in conifer water-use strategies: Journal of Geophysical Research: Biogeosciences, v. 125, no. 2, e2018JG004845, 20 p., https://doi.org/10.1029/2018JG004845.","productDescription":"e2018JG004845, 20 p.","ipdsId":"IP-097269","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":457901,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1600566","text":"Publisher Index Page"},{"id":372535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.17138671875,\n              38.42777351132902\n            ],\n            [\n              -105.9521484375,\n              38.42777351132902\n            ],\n            [\n              -105.9521484375,\n              39.774769485295465\n            ],\n            [\n              -108.17138671875,\n              39.774769485295465\n            ],\n            [\n              -108.17138671875,\n              38.42777351132902\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Berkelhammer, Max ","contributorId":150891,"corporation":false,"usgs":false,"family":"Berkelhammer","given":"Max ","affiliations":[{"id":18133,"text":"University of Illinois Chicago","active":true,"usgs":false}],"preferred":false,"id":782873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Still, Chris","contributorId":222677,"corporation":false,"usgs":false,"family":"Still","given":"Chris","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":782874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritter, Francois","contributorId":222678,"corporation":false,"usgs":false,"family":"Ritter","given":"Francois","email":"","affiliations":[{"id":18137,"text":"University of Illinois at Chicago","active":true,"usgs":false}],"preferred":false,"id":782875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winnik, Matthew","contributorId":222679,"corporation":false,"usgs":false,"family":"Winnik","given":"Matthew","email":"","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":782876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":782872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carroll, Rosemary ","contributorId":222680,"corporation":false,"usgs":false,"family":"Carroll","given":"Rosemary ","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":782877,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carbone, Mariah ","contributorId":222681,"corporation":false,"usgs":false,"family":"Carbone","given":"Mariah ","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":782878,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Kenneth ","contributorId":222682,"corporation":false,"usgs":false,"family":"Williams","given":"Kenneth ","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":782879,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70260131,"text":"70260131 - 2020 - Evolution of the submarine–subaerial edifice of Bogoslof volcano, Alaska, during its 2016–2017 eruption based on analysis of satellite imagery","interactions":[],"lastModifiedDate":"2024-10-30T11:19:12.419484","indexId":"70260131","displayToPublicDate":"2020-02-03T06:15:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of the submarine–subaerial edifice of Bogoslof volcano, Alaska, during its 2016–2017 eruption based on analysis of satellite imagery","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The 2016–2017 eruption of Bogoslof volcano involved at least 70 detected eruptive events between mid-December 2016 and August 30, 2017. Acquisition of high-resolution satellite imagery throughout the duration of the eruptive period allowed us to document and map the various morphologic changes that occurred on the subaerial part of Bogoslof Island. The emplacement of pyroclastic-flow and surge deposits caused the island to increase in area by about 1.5&nbsp;km<sup>2</sup>. The dominant volcanic landforms of the eruption were a series of tuff rings emplaced around various submarine vents. Many of the tuff rings were mantled with surface dunes and impressive amounts of ballistic ejecta, likely derived from erupting magma bodies or previously emplaced submarine lava domes. Debris-flow deposits and surface channels extending over tuff ring surfaces apparent in multiple satellite images are evidence for explosive ejection of seawater. In most cases, erupting vents were initially submarine or began at subaerial lava domes and were largely flooded by seawater suggesting that water-magma ratios were likely high. Under such conditions where water is abundant, eruptive products typically reflect a high degree of water involvement and are dominated by the formation of wet tephra jets and flows and associated deposits typically consist of fine ash and lapilli, contain accretionary lapilli and ash aggregates, and usually form tuff cones and mounds. We observed none of these features in our analysis of satellite data or during our examination of eruptive deposits on Bogoslof Island in 2018. On the contrary, the dominant landform associated with the Bogoslof eruption was tuff rings. The development of tuff rings and surface dunes are commonly associated with the formation of pyroclastic base surges that are by comparison emplaced relatively dry. Dry base surge deposits can be generated from phreatomagmatic explosions involving superheated steam. It is possible that shallow submarine, magma–wet sediment interactions were a characteristic and possibly a dominant eruptive process of the 2016–2017 Bogoslof eruption.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00445-020-1363-0","usgsCitation":"Waythomas, C.F., Angeli, K.M., and Wessels, R., 2020, Evolution of the submarine–subaerial edifice of Bogoslof volcano, Alaska, during its 2016–2017 eruption based on analysis of satellite imagery: Bulletin of Volcanology, v. 82, 21, https://doi.org/10.1007/s00445-020-1363-0.","productDescription":"21","ipdsId":"IP-113627","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":463385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof volcano","volume":"82","noUsgsAuthors":false,"publicationDate":"2020-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angeli, Kim M. 0000-0003-2427-3241 kangeli@usgs.gov","orcid":"https://orcid.org/0000-0003-2427-3241","contributorId":238809,"corporation":false,"usgs":true,"family":"Angeli","given":"Kim","email":"kangeli@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wessels, Rick 0000-0001-9711-6402 rwessels@usgs.gov","orcid":"https://orcid.org/0000-0001-9711-6402","contributorId":198602,"corporation":false,"usgs":true,"family":"Wessels","given":"Rick","email":"rwessels@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917114,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222621,"text":"70222621 - 2020 - Hybrid broadband ground motion simulation validation of small magnitude earthquakes in Canterbury, New Zealand","interactions":[],"lastModifiedDate":"2021-08-09T13:04:02.245654","indexId":"70222621","displayToPublicDate":"2020-02-02T08:00:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Hybrid broadband ground motion simulation validation of small magnitude earthquakes in Canterbury, New Zealand","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Ground motion simulation validation is an important and necessary task toward establishing the efficacy of physics-based ground motion simulations for seismic hazard analysis and earthquake engineering applications. This article presents a comprehensive validation of the commonly used Graves and Pitarka hybrid broadband ground motion simulation methodology with a recently developed three-dimensional (3D) Canterbury Velocity Model. This is done through simulation of 148 small magnitude earthquake events in the Canterbury, New Zealand, region in order to supplement prior validation efforts directed at several larger magnitude events. Recent empirical ground motion models are also considered to benchmark the simulation predictive capability, which is examined by partitioning the prediction residuals into the various components of ground motion variability. Biases identified in source, path, and site components suggest that improvements to the predictive capabilities of the simulation methodology can be made by using a longer high-frequency path duration model, reducing empirical<span>&nbsp;</span><i>V</i><sub><i>s</i>30</sub>-based low-frequency site amplification, and utilizing site-specific velocity models in the high-frequency simulations.</p></div></div>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/8755293019891718","usgsCitation":"Lee, R.L., Bradley, B.A., Stafford, P.J., Graves, R., and Rodriguez-Marek, A., 2020, Hybrid broadband ground motion simulation validation of small magnitude earthquakes in Canterbury, New Zealand: Earthquake Spectra, v. 36, no. 2, p. 673-699, https://doi.org/10.1177/8755293019891718.","productDescription":"27 p.","startPage":"673","endPage":"699","ipdsId":"IP-105741","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":457905,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/98680","text":"External Repository"},{"id":387770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Canterbury","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              169.815673828125,\n              -44.81691551782855\n            ],\n            [\n              174.35302734375,\n              -44.81691551782855\n            ],\n            [\n              174.35302734375,\n              -42.819580715795915\n            ],\n            [\n              169.815673828125,\n              -42.819580715795915\n            ],\n            [\n              169.815673828125,\n              -44.81691551782855\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Robin L.","contributorId":261917,"corporation":false,"usgs":false,"family":"Lee","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":false,"id":820788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Brendon A.","contributorId":202814,"corporation":false,"usgs":false,"family":"Bradley","given":"Brendon","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":820789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Peter J.","contributorId":261918,"corporation":false,"usgs":false,"family":"Stafford","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":820790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez-Marek, Adrian","contributorId":261919,"corporation":false,"usgs":false,"family":"Rodriguez-Marek","given":"Adrian","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":820792,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208450,"text":"70208450 - 2020 - Development of a global seismic risk model","interactions":[],"lastModifiedDate":"2020-10-28T15:19:00.996524","indexId":"70208450","displayToPublicDate":"2020-02-02T07:31:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Development of a global seismic risk model","docAbstract":"Since 2015 the Global Earthquake Model (GEM) Foundation and its partners have been supporting regional programmes and bilateral collaborations to develop an open global earthquake risk model. These efforts led to the development of a repository of probabilistic seismic hazard models, a global exposure dataset comprising structural and occupancy information regarding the residential, commercial and industrial buildings, and a comprehensive set of fragility and vulnerability functions for the most common building classes. These components were used to estimate probabilistic earthquake risk globally using the OpenQuake-engine, an open-source software for seismic hazard and risk analysis. This model allows estimating a number of risk metrics such as annualized average losses or aggregated losses for particular return periods, which are fundamental to the development and implementation of earthquake risk mitigation measures.","language":"English","publisher":"SAGE","doi":"10.1177/8755293019899953","usgsCitation":"Silva, V., Amo-Oduro, D., Calderon, A., Costa, C., Dabbeek, J., Despotaki, V., Martins, L., Pagani, M., Rao, A., Simionato, M., Vigano, D., Yepes-Estrada, C., Acevedo, A.B., Crowley, H., Horspool, N., Jaiswal, K.S., Journeay, M., and Pittore, M., 2020, Development of a global seismic risk model: Earthquake Spectra, v. 36, no. s1, p. 372-394, https://doi.org/10.1177/8755293019899953.","productDescription":"13 p.","startPage":"372","endPage":"394","ipdsId":"IP-114831","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":457907,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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Italy","active":true,"usgs":false}],"preferred":false,"id":781930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Despotaki, Venetia","contributorId":222347,"corporation":false,"usgs":false,"family":"Despotaki","given":"Venetia","email":"","affiliations":[{"id":40531,"text":"Global Earthquake Model Foundation, Pavia, Italy","active":true,"usgs":false}],"preferred":false,"id":781931,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martins, Luis","contributorId":222348,"corporation":false,"usgs":false,"family":"Martins","given":"Luis","email":"","affiliations":[{"id":40531,"text":"Global Earthquake Model Foundation, Pavia, Italy","active":true,"usgs":false}],"preferred":false,"id":781932,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pagani, Marco","contributorId":222349,"corporation":false,"usgs":false,"family":"Pagani","given":"Marco","email":"","affiliations":[{"id":40531,"text":"Global Earthquake Model Foundation, Pavia, Italy","active":true,"usgs":false}],"preferred":false,"id":781933,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rao, Anirudh","contributorId":222350,"corporation":false,"usgs":false,"family":"Rao","given":"Anirudh","email":"","affiliations":[{"id":40531,"text":"Global Earthquake Model Foundation, Pavia, Italy","active":true,"usgs":false}],"preferred":false,"id":781934,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Simionato, Michele","contributorId":222351,"corporation":false,"usgs":false,"family":"Simionato","given":"Michele","email":"","affiliations":[{"id":40531,"text":"Global Earthquake Model Foundation, Pavia, Italy","active":true,"usgs":false}],"preferred":false,"id":781935,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vigano, Daniele","contributorId":222352,"corporation":false,"usgs":false,"family":"Vigano","given":"Daniele","email":"","affiliations":[{"id":40531,"text":"Global Earthquake Model Foundation, Pavia, Italy","active":true,"usgs":false}],"preferred":false,"id":781936,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Yepes-Estrada, Catalina","contributorId":222353,"corporation":false,"usgs":false,"family":"Yepes-Estrada","given":"Catalina","email":"","affiliations":[{"id":40531,"text":"Global Earthquake Model Foundation, Pavia, Italy","active":true,"usgs":false}],"preferred":false,"id":781937,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Acevedo, Ana Beatriz","contributorId":205958,"corporation":false,"usgs":false,"family":"Acevedo","given":"Ana","email":"","middleInitial":"Beatriz","affiliations":[{"id":37198,"text":"Universidad EAFIT","active":true,"usgs":false}],"preferred":false,"id":781938,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Crowley, Helen","contributorId":152131,"corporation":false,"usgs":false,"family":"Crowley","given":"Helen","email":"","affiliations":[{"id":18874,"text":"EUCENTRE","active":true,"usgs":false}],"preferred":false,"id":781939,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Horspool, Nick","contributorId":175114,"corporation":false,"usgs":false,"family":"Horspool","given":"Nick","email":"","affiliations":[],"preferred":false,"id":781940,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":781941,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Journeay, 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,{"id":70228353,"text":"70228353 - 2020 - A classification of streamflow patterns across the coastal Gulf of Alaska","interactions":[],"lastModifiedDate":"2022-02-09T18:01:40.432542","indexId":"70228353","displayToPublicDate":"2020-02-01T11:51:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A classification of streamflow patterns across the coastal Gulf of Alaska","docAbstract":"<p>Streamflow controls many freshwater and marine processes, including salinity profiles, sediment composition, fluxes of nutrients, and the timing of animal migrations. Watersheds that border the Gulf of Alaska (GOA) comprise over 400,000 km<sup>2</sup><span>&nbsp;</span>of largely pristine freshwater habitats and provide ecosystem services such as reliable fisheries for local and global food production. Yet no comprehensive watershed-scale description of current temporal and spatial patterns of streamflow exists within the coastal GOA. This is an immediate need because the spatial distribution of future streamflow patterns may shift dramatically due to warming air temperature, increased rainfall, diminishing snowpack, and rapid glacial recession. Our primary goal was to describe variation in streamflow patterns across the coastal GOA using an objective set of descriptors derived from flow predictions at the downstream-most point within each watershed. We leveraged an existing hydrologic runoff model and Bayesian mixture model to classify 4,140 watersheds into 13 classes based on seven streamflow statistics. Maximum discharge timing (annual phase shift) and magnitude relative to mean discharge (amplitude) were the most influential attributes. Seventy-six percent of watersheds by number showed patterns consistent with rain or snow as dominant runoff sources, while the remaining watersheds were driven by rain-snow, glacier, or low-elevation wetland runoff. Streamflow classes exhibited clear mechanistic links to elevation, ice coverage, and other landscape features. Our classification identifies watersheds that might shift streamflow patterns in the near future and, importantly, will help guide the design of studies that evaluate how hydrologic change will influence coastal GOA ecosystems.</p>","language":"English","publisher":"Wiley-Blackwell","doi":"10.1029/2019WR026127","usgsCitation":"Sergeant, C.J., Falke, J.A., Bellmore, R.A., Bellmore, J., and Crumley, R.L., 2020, A classification of streamflow patterns across the coastal Gulf of Alaska: Water Resources Research, v. 56, no. 2, p. 1-17, https://doi.org/10.1029/2019WR026127.","productDescription":"e2019WR026127, 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-110868","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":437129,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BHITX2","text":"USGS data release","linkHelpText":"All available data for Sergeant et al. 2020, A classification of streamflow patterns 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Ryan jbellmore@usgs.gov","contributorId":4527,"corporation":false,"usgs":true,"family":"Bellmore","given":"J. Ryan","email":"jbellmore@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":833916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crumley, Ryan L.","contributorId":275278,"corporation":false,"usgs":false,"family":"Crumley","given":"Ryan","email":"","middleInitial":"L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":833917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211078,"text":"70211078 - 2020 - High-resolution mapping of the freshwater-brine interface using deterministic and Bayesian inversion of airborne electromagnetic data at Paradox Valley, USA","interactions":[],"lastModifiedDate":"2020-07-14T15:45:32.896544","indexId":"70211078","displayToPublicDate":"2020-02-01T10:42:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution mapping of the freshwater-brine interface using deterministic and Bayesian inversion of airborne electromagnetic data at Paradox Valley, USA","docAbstract":"Salt loads in the Colorado River Basin are a primary water quality concern.  Natural groundwater brine discharge to the Dolores River where it passes through the collapsed salt anticline of the Paradox Valley in western Colorado is a significant source of salt to the Colorado River.  An airborne electromagnetic survey of Paradox Valley has provided insights into the 3D distribution of brine in the surficial aquifer.  A combination of stochastic and deterministic resistivity inversions were used to interpret the top of the freshwater-brine interface and to qualitatively describe the vertical salinity gradients across the interface. Low-resistivity regions indicative of brine occur near the land surface where brine discharges to the Dolores River and increase in depth several kilometers up-gradient along the axis of the valley. The most conductive parts of the brine plume are found in the areas below and adjacent to the river, suggesting that the brine becomes shallower and more concentrated as it reaches its natural discharge location. A significant freshwater lens overlying the brine west of the Dolores River is spatially correlated to the intermittent West Paradox Creek and agricultural irrigation. Below this lens, the transition from freshwater to brine appears to occur abruptly over a few meters and correlates to available well information. However, away from these regions and particularly with distance from the river, the freshwater-brine interface appears to be more diffuse.","language":"English","publisher":"Springer","doi":"10.1007/s10040-019-02102-z","usgsCitation":"Ball, L.B., Bedrosian, P.A., and Minsley, B.J., 2020, High-resolution mapping of the freshwater-brine interface using deterministic and Bayesian inversion of airborne electromagnetic data at Paradox Valley, USA: Hydrogeology Journal, v. 28, no. 3, p. 941-954, https://doi.org/10.1007/s10040-019-02102-z.","productDescription":"14 p.","startPage":"941","endPage":"954","ipdsId":"IP-109154","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":376365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Paradox Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.083251953125,\n              36.98500309285596\n            ],\n            [\n              -105.732421875,\n              36.98500309285596\n            ],\n            [\n              -105.732421875,\n              39.36827914916014\n            ],\n            [\n              -109.083251953125,\n              39.36827914916014\n            ],\n            [\n              -109.083251953125,\n              36.98500309285596\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":792704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":792705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":792706,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228268,"text":"70228268 - 2020 - Influence of population density and length structure on angler catch rate in kokanee fisheries","interactions":[],"lastModifiedDate":"2022-02-08T16:41:38.191284","indexId":"70228268","displayToPublicDate":"2020-02-01T10:22:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Influence of population density and length structure on angler catch rate in kokanee fisheries","docAbstract":"<p>Management agencies are often charged with providing fisheries that lead to angler participation. Catch rate is one of the primary drivers of angler participation but can be influenced by a suite of factors, including population structure (e.g., density and size structure). The complexity of understanding how population structure influences angler catch rate is typified in kokanee<span>&nbsp;</span><i>Oncorhynchus nerka</i><span>&nbsp;</span>fisheries. Previous research suggests that angler catch rates of kokanee are positively influenced by fish density and total length. However, that research was based on data collected using size-selective midwater trawls. Due to the potential limitation of previous research, we sought to (1) understand the relative bias of midwater trawls and gill nets for describing the size structure of&nbsp;kokanee available to anglers and (2) re-evaluate the influence of fish density and fish length on angler catch rates in kokanee fisheries. Midwater trawl, gill-net, and creel data were collected on five prominent kokanee fisheries throughout Idaho in 2016 and 2017. Catch composition and percent overlap of midwater trawls, gill nets, and angler-caught fish were compared to understand the efficacy of midwater trawls and gill nets for representing the size structure of kokanee available to anglers. In addition, the influence of kokanee density and length on angler catch rates was evaluated. Midwater trawls primarily sampled small kokanee (&lt;330&nbsp;mm) and exhibited little overlap with angler-caught fish, whereas gill nets sampled more large fish (&gt;330&nbsp;mm) and exhibited higher overlap with angler-caught fish when compared to midwater trawls. Fish length was not positively associated with angler catch rates. However, fish density exhibited a positive relationship with angler catch rates. Our results highlight the importance of gear choice for understanding how kokanee populations function and elucidate the tradeoffs associated with population density, fish length, and resulting kokanee fisheries.</p>","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10395","usgsCitation":"Klein, Z.B., Quist, M., Schill, D., Dux, A.M., and Corsi, M.P., 2020, Influence of population density and length structure on angler catch rate in kokanee fisheries: North American Journal of Fisheries Management, v. 40, no. 1, p. 182-189, https://doi.org/10.1002/nafm.10395.","productDescription":"8 p.","startPage":"182","endPage":"189","ipdsId":"IP-110218","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Anderson Ranch Reservoir, Dworshak Reservoir, Lake Pend Oreille, Lucky 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J.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":833569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dux, Andrew M.","contributorId":212798,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corsi, Matthew P.","contributorId":212797,"corporation":false,"usgs":false,"family":"Corsi","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833571,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228272,"text":"70228272 - 2020 - Movement dynamics of Smallmouth Bass in a large western river system","interactions":[],"lastModifiedDate":"2022-02-08T16:21:40.939488","indexId":"70228272","displayToPublicDate":"2020-02-01T10:11:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Movement dynamics of Smallmouth Bass in a large western river system","docAbstract":"<p>The Snake River, Idaho, between Swan Falls and Brownlee dams supports a popular fishery for Smallmouth Bass<span>&nbsp;</span><i>Micropterus dolomieu</i>. Recently, anglers have expressed concern about harvest of Smallmouth Bass associated with seasonal congregations in and near the lower reaches of several major tributaries. Little is known about Smallmouth Bass movement in the system, and a better understanding of movement dynamics will help to guide future management. From March to August 2016, Smallmouth Bass (≥260&nbsp;mm;<span>&nbsp;</span><i>n&nbsp;</i>=<i>&nbsp;</i>1,131) were tagged with T-bar anchor tags to evaluate large-scale movement patterns. Movement was estimated from 63 angler-reported tags for which area descriptions provided sufficient detail to assign a recapture location. Extent of fish movement varied among segments and tributaries from 0 to 128 river kilometers (rkm). From March to May 2017, Smallmouth Bass (≥305&nbsp;mm;<span>&nbsp;</span><i>n&nbsp;</i>=<i>&nbsp;</i>149) in the Snake, Boise, Payette, and Weiser rivers and in Brownlee Reservoir were implanted with radio transmitters. Of the 149 Smallmouth Bass that were released with radio transmitters, 107 were relocated at least once. Additionally, 79.6% of fish with radio transmitters had a maximum extent of movement of 5 rkm or greater and 42.6% had a maximum extent of 30&nbsp;rkm or greater; one radio-tagged fish moved 167 rkm upstream. Average daily movement of Smallmouth Bass varied among river segments and was greatest in the spring and summer. Fish from the Snake River, tributaries (e.g., Boise River), and Brownlee Reservoir moved all around the study area, indicating an absence of clear population boundaries. As such, Smallmouth Bass in the study area appear to function as one large population as opposed to multiple subpopulations, thereby indicating that management as one population is likely appropriate.</p>","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10389","usgsCitation":"McClure, C., Quist, M., Kozfkay, J., Peterson, M., and Schill, D.J., 2020, Movement dynamics of Smallmouth Bass in a large western river system: North American Journal of Fisheries Management, v. 40, no. 1, p. 154-162, https://doi.org/10.1002/nafm.10389.","productDescription":"9 p.","startPage":"154","endPage":"162","ipdsId":"IP-097796","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Boise River, Brownlee Reservoir, Payette River, Snake River, Swan Falls, Weiser River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.83911132812499,\n              43.83452678223682\n            ],\n            [\n              -114.97192382812499,\n              43.83452678223682\n            ],\n            [\n              -114.97192382812499,\n              45.66012730272194\n            ],\n            [\n              -118.83911132812499,\n              45.66012730272194\n            ],\n            [\n              -118.83911132812499,\n              43.83452678223682\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-24","publicationStatus":"PW","contributors":{"authors":[{"text":"McClure, Conor","contributorId":275013,"corporation":false,"usgs":false,"family":"McClure","given":"Conor","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":270713,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kozfkay, Joseph","contributorId":275014,"corporation":false,"usgs":false,"family":"Kozfkay","given":"Joseph","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Michael","contributorId":275015,"corporation":false,"usgs":false,"family":"Peterson","given":"Michael","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schill, Daniel J.","contributorId":195886,"corporation":false,"usgs":false,"family":"Schill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":833581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208285,"text":"70208285 - 2020 - Overall results and key findings on the use of UAV visible-color, multispectral, and thermal infrared imagery to map agricultural drainage pipes","interactions":[],"lastModifiedDate":"2020-02-03T09:46:34","indexId":"70208285","displayToPublicDate":"2020-02-01T09:40:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Overall results and key findings on the use of UAV visible-color, multispectral, and thermal infrared imagery to map agricultural drainage pipes","docAbstract":"<p><span>Effective and efficient methods are needed to map agricultural subsurface drainage systems. Visible-color (VIS-C), multispectral (MS), and thermal infrared (TIR) imagery obtained by unmanned aerial vehicles (UAVs) may provide a means for determining drainage pipe locations. Aerial surveys using a UAV with VIS-C, MS, and TIR cameras were conducted at 29 agricultural field sites in the Midwest U.S.A. to evaluate the potential of this technology for mapping buried drainage pipes. Overall results show VIS-C imagery detected at least some drain lines at 48 % of the sites (14 out of 29), MS imagery detected drain lines at 59 % of the sites (17 out of 29), and TIR imagery detected drain lines at 69 % of the sites (20 out of 29). Three key findings, listed as follows and emphasized in this article by site examples, were extracted from the overall results. (1) Although TIR generally worked best, there were sites where either VIS-C or MS proved more effective than TIR for mapping subsurface drainage systems. Consequently, to ensure the greatest chance for successfully determining drainage pipe patterns in a field, UAV surveys need to be carried out with all three types of cameras, VIS-C, MS, and TIR. (2) Timing of UAV surveys relative to recent rainfall can sometimes have an important impact on drainage pipe detection results. (3) Linear features representing drain lines and farm field operations can be confused with one another and are often both depicted on site aerial imagery. Knowledge of subsurface drainage system installation and farm field operations can be employed to distinguish linear features representing drain lines from those representing farm field operations. The overall results and extracted key findings from this study clearly indicate that VIS-C, MS, and TIR imagery obtained with UAVs have significant potential for use in mapping agricultural drainage pipe systems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2020.106036","usgsCitation":"Allred, B.J., Martinez, L., Fessehazion, M., Rouse, G., Williamson, T.N., Wishart, D., Koganti, T., Freeland, R., Eash, N., Batschelet, A., and Featheringill, R., 2020, Overall results and key findings on the use of UAV visible-color, multispectral, and thermal infrared imagery to map agricultural drainage pipes: Agricultural Water Management, v. 232, 106036, 19 p., https://doi.org/10.1016/j.agwat.2020.106036.","productDescription":"106036, 19 p.","ipdsId":"IP-112452","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":457912,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agwat.2020.106036","text":"Publisher Index Page"},{"id":371912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana, Iowa, Michigan, Ohio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.240234375,\n              42.79540065303723\n            ],\n            [\n              -95.16357421875,\n              42.79540065303723\n            ],\n            [\n              -95.16357421875,\n              43.45291889355465\n            ],\n            [\n              -96.240234375,\n              43.45291889355465\n            ],\n            [\n              -96.240234375,\n              42.79540065303723\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.4951171875,\n              38.42777351132902\n            ],\n            [\n              -81.76025390625,\n              38.42777351132902\n            ],\n            [\n              -81.76025390625,\n              42.09822241118974\n            ],\n            [\n              -87.4951171875,\n              42.09822241118974\n            ],\n            [\n              -87.4951171875,\n              38.42777351132902\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"232","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allred, Barry J.","contributorId":212023,"corporation":false,"usgs":false,"family":"Allred","given":"Barry","email":"","middleInitial":"J.","affiliations":[{"id":38388,"text":"USDA, Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":781251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinez, Luis","contributorId":222112,"corporation":false,"usgs":false,"family":"Martinez","given":"Luis","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":781252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fessehazion, Melake","contributorId":222113,"corporation":false,"usgs":false,"family":"Fessehazion","given":"Melake","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":781253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rouse, Greg","contributorId":169158,"corporation":false,"usgs":false,"family":"Rouse","given":"Greg","email":"","affiliations":[{"id":6728,"text":"Scripps Inst Oceanography","active":true,"usgs":false}],"preferred":false,"id":781254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781250,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wishart, DeBonne","contributorId":222114,"corporation":false,"usgs":false,"family":"Wishart","given":"DeBonne","email":"","affiliations":[{"id":40490,"text":"Central State University - Ohio","active":true,"usgs":false}],"preferred":false,"id":781255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koganti, Triven 0000-0001-5351-7618","orcid":"https://orcid.org/0000-0001-5351-7618","contributorId":222115,"corporation":false,"usgs":false,"family":"Koganti","given":"Triven","email":"","affiliations":[{"id":40491,"text":"Aarhus University - Denmark","active":true,"usgs":false}],"preferred":false,"id":781256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Freeland, Robert 0000-0002-5243-9774","orcid":"https://orcid.org/0000-0002-5243-9774","contributorId":222116,"corporation":false,"usgs":false,"family":"Freeland","given":"Robert","email":"","affiliations":[{"id":37419,"text":"University of Tennessee Institute of Agriculture","active":true,"usgs":false}],"preferred":false,"id":781257,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eash, Neal 0000-0001-9141-4302","orcid":"https://orcid.org/0000-0001-9141-4302","contributorId":222117,"corporation":false,"usgs":false,"family":"Eash","given":"Neal","email":"","affiliations":[{"id":37419,"text":"University of Tennessee Institute of Agriculture","active":true,"usgs":false}],"preferred":false,"id":781258,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Batschelet, Adam","contributorId":222118,"corporation":false,"usgs":false,"family":"Batschelet","given":"Adam","email":"","affiliations":[{"id":40492,"text":"Green Aero Tech USA","active":true,"usgs":false}],"preferred":false,"id":781259,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Featheringill, Robert","contributorId":222119,"corporation":false,"usgs":false,"family":"Featheringill","given":"Robert","email":"","affiliations":[{"id":40493,"text":"Farmer and former drainage contractor","active":true,"usgs":false}],"preferred":false,"id":781260,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70228237,"text":"70228237 - 2020 - Eastern oyster clearance and respiration rates in response to acute and chronic exposure to suspended sediment loads","interactions":[],"lastModifiedDate":"2022-02-08T15:47:02.571742","indexId":"70228237","displayToPublicDate":"2020-02-01T09:31:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2449,"text":"Journal of Sea Research","active":true,"publicationSubtype":{"id":10}},"title":"Eastern oyster clearance and respiration rates in response to acute and chronic exposure to suspended sediment loads","docAbstract":"<p id=\"sp0015\"><span>Coastal Louisiana supports some of the most productive areas for the&nbsp;eastern oyster,&nbsp;</span><i>Crassostrea virginica</i><span>. Changing conditions from restoration and climate change alter freshwater and sediment inflows into critical estuarine areas affecting water quality, including&nbsp;salinity&nbsp;and concentrations of&nbsp;suspended sediment. This study examined the effects of acute (1&nbsp;h) and chronic (8&nbsp;weeks) exposure of suspended sediment concentrations on the eastern oyster's respiration and clearance rates. Acute exposure at six sediment concentrations (0, 10, 50, 200, 500, 1000&nbsp;mg&nbsp;L</span><sup>−1</sup>) and one salinity (15) indicated that sediment concentration significantly affected oyster clearance rates, with increasing clearance rates as suspended sediment concentrations increased up to 500&nbsp;mg&nbsp;L<sup>−1</sup>. Respiration rates were not affected by sediment concentration (<i>p</i>&nbsp;=&nbsp;.12). Chronic exposure at two salinities (6 and 15) and three sediment concentrations (0, 50, 400&nbsp;mg&nbsp;L<sup>−1</sup>) found no significant effect of sediment, salinity or their interaction on clearance rates. Respiration rate was reduced at higher sediment concentrations (50 and 400&nbsp;mg&nbsp;L<sup>−1</sup><span>&nbsp;</span>versus 0&nbsp;mg&nbsp;L<sup>−1</sup><span>) and lower salinity. As clearance and oxygen consumption rates critically inform oyster energetic models, these data provide valuable insight to more accurately predict eastern oyster population dynamics and inform harvest models in the face of changing estuarine conditions. Changes in rates of growth through altered energetic demands ultimately can impact not just the&nbsp;economic viability&nbsp;of the industry, but also the ability for the populations to maintain sustainable reefs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.seares.2019.101831","usgsCitation":"La Peyre, M., Bernasconi, S.K., Lavaud, R., Casas, S.M., and La Peyre, J.F., 2020, Eastern oyster clearance and respiration rates in response to acute and chronic exposure to suspended sediment loads: Journal of Sea Research, v. 157, p. 1-7, https://doi.org/10.1016/j.seares.2019.101831.","productDescription":"101831, 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-109899","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499828,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.lsu.edu/animalsciences_pubs/794","text":"External Repository"},{"id":395621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Bay Gardene","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.68508720397949,\n              29.56188581810685\n            ],\n            [\n              -89.6129035949707,\n              29.56188581810685\n            ],\n            [\n              -89.6129035949707,\n              29.609804580144143\n            ],\n            [\n              -89.68508720397949,\n              29.609804580144143\n            ],\n            [\n              -89.68508720397949,\n              29.56188581810685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"157","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernasconi, S. K.","contributorId":274906,"corporation":false,"usgs":false,"family":"Bernasconi","given":"S.","email":"","middleInitial":"K.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":833503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavaud, R.","contributorId":273051,"corporation":false,"usgs":false,"family":"Lavaud","given":"R.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":833504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casas, S. M.","contributorId":272906,"corporation":false,"usgs":false,"family":"Casas","given":"S.","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":833506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Peyre, J. F.","contributorId":273052,"corporation":false,"usgs":false,"family":"La Peyre","given":"J.","email":"","middleInitial":"F.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":833505,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211297,"text":"70211297 - 2020 - Conservation genomics in a changing arctic","interactions":[],"lastModifiedDate":"2020-07-22T13:02:15.108559","indexId":"70211297","displayToPublicDate":"2020-02-01T09:00:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Conservation genomics in a changing arctic","docAbstract":"<p><span>Although logistically challenging to study, the Arctic is a bellwether for global change and is becoming a model for questions pertinent to the persistence of biodiversity. Disruption of Arctic ecosystems is accelerating, with impacts ranging from mixing of biotic communities to individual behavioral responses. Understanding these changes is crucial for conservation and sustainable economic development. Genomic approaches are providing transformative insights into biotic responses to environmental change, but have seen limited application in the Arctic due to a series of limitations. To meet the promise of genome analyses, we urge rigorous development of biorepositories from high latitudes to provide essential libraries to improve the conservation, monitoring, and management of Arctic ecosystems through genomic approaches.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2019.09.008","usgsCitation":"Colella, J.P., Talbot, S.L., Brochmann, C., Taylor, E.B., Hoberg, E.P., and Cook, J.A., 2020, Conservation genomics in a changing arctic: Trends in Ecology and Evolution, v. 35, no. 2, p. 149-162, https://doi.org/10.1016/j.tree.2019.09.008.","productDescription":"14 p.","startPage":"149","endPage":"162","ipdsId":"IP-106748","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":376622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Colella, Jocelyn P.","contributorId":190332,"corporation":false,"usgs":false,"family":"Colella","given":"Jocelyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":793623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":793624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brochmann, Christian","contributorId":229606,"corporation":false,"usgs":false,"family":"Brochmann","given":"Christian","email":"","affiliations":[{"id":13158,"text":"Natural History Museum, University of Oslo","active":true,"usgs":false}],"preferred":false,"id":793625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Eric B. 0000-0002-3974-6315","orcid":"https://orcid.org/0000-0002-3974-6315","contributorId":124524,"corporation":false,"usgs":false,"family":"Taylor","given":"Eric","email":"","middleInitial":"B.","affiliations":[{"id":5083,"text":"University of British Columbia, Department of Zoology, Biodiversity Research Centre and Beaty Biodiversity  Museum","active":true,"usgs":false}],"preferred":false,"id":793626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoberg, Eric P.","contributorId":102448,"corporation":false,"usgs":false,"family":"Hoberg","given":"Eric","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":793627,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":793628,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70210678,"text":"70210678 - 2020 - Final project memorandum: Identifying conservation objectives for the Gulf Coast habitats of the black skimmer and gull-billed tern","interactions":[],"lastModifiedDate":"2020-06-17T14:01:00.671249","indexId":"70210678","displayToPublicDate":"2020-02-01T08:55:34","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Final project memorandum: Identifying conservation objectives for the Gulf Coast habitats of the black skimmer and gull-billed tern","docAbstract":"<p><span>Many shorebirds and nearshore waterbirds are of conservation concern across the Gulf of Mexico due to stressors such as human disturbance, predation, and habitat loss and degradation. Conservation and protection of these birds is important for the functioning of healthy ecosystems and for maintaining biodiversity in North America. Consequently, resource managers along the Gulf need decision-aiding tools that can help to answer important conservation questions for different species (e.g., how much area should be targeted by management actions to meet a species’ needs). To address this need, project researchers developed statistical models that could help identify habitat conservation objectives and actions for bird species taking into account different Gulf coast conservation scenarios that might occur in response to sea-level rise. The project focused specifically on the Black Skimmer (</span><i>Rynchops niger</i><span>) and Gull-billed Tern (</span><i>Gelochelidon nilotica</i><span>), two species designated as U.S. Fish and Wildlife Service Species of Conservation Concern and Gulf Coast Joint Venture Priority Species. These two birds are also representative of a variety of other beach and barrier-island nesting birds whose nesting habitats are threatened by sea-level rise (e.g., Least Tern, Snowy and Wilson’s Plover). The statistical models linked each bird’s abundance to habitat characteristics that could be influenced by different management actions. This information could be used to identify conservation objectives under different conservation scenarios.</span></p>","language":"English","publisher":"Southeast Climate Adaptation Science Center","usgsCitation":"Cronin, J.P., 2020, Final project memorandum: Identifying conservation objectives for the Gulf Coast habitats of the black skimmer and gull-billed tern: Cooperator Report, 9 p.","productDescription":"9 p.","ipdsId":"IP-116728","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":375665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375615,"type":{"id":15,"text":"Index Page"},"url":"https://secasc.ncsu.edu/science/gulf-coast-habitats/"}],"country":"Mexico, United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.68359375,\n              25.363882272740256\n            ],\n            [\n              -82.6611328125,\n              29.726222319395504\n            ],\n            [\n              -87.451171875,\n              30.751277776257812\n            ],\n            [\n              -91.7578125,\n              30.713503990354965\n            ],\n            [\n              -96.50390625,\n              29.19053283229458\n            ],\n            [\n              -98.2177734375,\n              26.588527147308614\n            ],\n            [\n              -98.26171875,\n              22.79643932091949\n            ],\n            [\n              -96.50390625,\n              19.02057711096681\n            ],\n            [\n              -93.69140625,\n              17.811456088564483\n            ],\n            [\n              -90.966796875,\n              18.312810846425442\n            ],\n            [\n              -88.6376953125,\n              20.838277806058933\n            ],\n            [\n              -80.68359375,\n              25.363882272740256\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cronin, James P. 0000-0001-6791-5828 jcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-6791-5828","contributorId":5834,"corporation":false,"usgs":true,"family":"Cronin","given":"James","email":"jcronin@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":790922,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70209831,"text":"70209831 - 2020 - Pacific Continental Shelf Environmental Assessment (PaCSEA): Characterization of Seasonal Water Masses within the Northern California Current System Using Airborne Remote Sensing off Northern California, Oregon, and Washington, 2011–2012","interactions":[],"lastModifiedDate":"2020-05-19T14:26:42.015479","indexId":"70209831","displayToPublicDate":"2020-02-01T07:39:51","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Pacific Continental Shelf Environmental Assessment (PaCSEA): Characterization of Seasonal Water Masses within the Northern California Current System Using Airborne Remote Sensing off Northern California, Oregon, and Washington, 2011–2012","docAbstract":"Here, we use ocean color measurements (Figure 1) and sea surface temperature (SST) data collected using sensors mounted on low-flying aircraft to characterize NCCS water masses and identify patterns among seasons and between years. To accomplish this, we applied k-means clustering to measured and derived ecologically-relevant physical and bio-optical variables (SST, Chla, absorbance by colored dissolved organic matter [aCDOM], proxy particle load). These classifications will be used in the future to evaluate species habitat distributions in the NCCS.","language":"English","publisher":"BOEM","usgsCitation":"Schulien, J.A., Adams, J., and Felis, J.J., 2020, Pacific Continental Shelf Environmental Assessment (PaCSEA): Characterization of Seasonal Water Masses within the Northern California Current System Using Airborne Remote Sensing off Northern California, Oregon, and Washington, 2011–2012, iv, 26 p.","productDescription":"iv, 26 p.","ipdsId":"IP-075956","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":374387,"type":{"id":15,"text":"Index Page"},"url":"https://www.boem.gov/environment/environmental-studies/recently-completed-environmental-studies-pacific"},{"id":374397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Pacific Continental Shelf","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.0791015625,\n              42.19596877629178\n            ],\n            [\n              -124.76074218749999,\n              37.47485808497102\n            ],\n            [\n              -122.4755859375,\n              37.47485808497102\n            ],\n            [\n              -122.4755859375,\n              46.76996843356982\n            ],\n            [\n              -124.76074218749999,\n              46.76996843356982\n            ],\n            [\n              -126.0791015625,\n              42.19596877629178\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schulien, J A","contributorId":224409,"corporation":false,"usgs":false,"family":"Schulien","given":"J","email":"","middleInitial":"A","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":788212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":788213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":788214,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70209014,"text":"70209014 - 2020 - Acute toxicity and clotting times of anticoagulant rodenticides to red-toothed (Odonus niger) and black (Melichthys niger) triggerfish, fathead minnow (Pimephales promelas), and largemouth bass (Micropterus salmoides)","interactions":[],"lastModifiedDate":"2020-03-12T07:09:46","indexId":"70209014","displayToPublicDate":"2020-02-01T07:08:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Acute toxicity and clotting times of anticoagulant rodenticides to red-toothed (Odonus niger) and black (Melichthys niger) triggerfish, fathead minnow (Pimephales promelas), and largemouth bass (Micropterus salmoides)","docAbstract":"Anticoagulant rodenticides (ARs) areused in rateradication efforts on island wildlife refuges. ARbait pellets can get into coralreefareasduring broadcasting and leadto exposure ofnon-target organisms, such as marine fishes. The objective of this study was to determine the sensitivity of representative saltwater fishes, Red-toothed triggerfish (Odonus niger) and Black triggerfish (Melichthys niger), and common freshwater fishes, fathead minnow (Pimephales promelas), and largemouth bass (Micropterus salmoides) to first generation ARs, diphacinone (DPN) and chlorophacinone (CPN), as well as a second-generation AR, brodifacoum (BROD). Acute toxicity of ARs was evaluated by single dose, intraperitoneal injections. The median lethal dose (LD50) ranges were 137−175μg DPN/g, 155−182μg CPN/g, and 36−48μg BROD/g for Red-toothed triggerfish and 90−122μg DPN/g, 125−164μg CPN/g, and 50−75μg BROD/g for black triggerfish. Laboratory surrogate test fish species fathead minnow and largemouth bass were of similar sensitivity toward AR-induced toxicity compared to triggerfish based on LD50 values. Sublethal effects on elevated clotting time occurred in dose-dependent fashion in all fish tested. Fish appear to have low sensitivity to AR chemicals as compared to other taxa, in particular mammals and birds, based on across-taxa comparisons of species sensitivity distributions of whole body, single dose acute lethality (LD50 values). The sensitivity of fish to waterborne exposures of ARs has yet to be fully evaluated and indeed may prove more hazardous to fish.","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2020.105429","usgsCitation":"Riegerix, R., Tanner, M., Gale, R.W., and Tillitt, D.E., 2020, Acute toxicity and clotting times of anticoagulant rodenticides to red-toothed (Odonus niger) and black (Melichthys niger) triggerfish, fathead minnow (Pimephales promelas), and largemouth bass (Micropterus salmoides): Aquatic Toxicology, v. 221, 105429, 10 p., https://doi.org/10.1016/j.aquatox.2020.105429.","productDescription":"105429, 10 p.","ipdsId":"IP-096494","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":457917,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquatox.2020.105429","text":"Publisher Index Page"},{"id":437130,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QRI492","text":"USGS data release","linkHelpText":"Acute toxicity and clotting times of anticoagulant rodenticides to red-toothed (Odonus niger) and black (Melichthys niger) triggerfish, fathead minnow (Pimephales promelas), and largemouth bass (Micropterus salmoides)"},{"id":373160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"221","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Riegerix, Rachelle 0000-0002-0992-6251","orcid":"https://orcid.org/0000-0002-0992-6251","contributorId":223210,"corporation":false,"usgs":true,"family":"Riegerix","given":"Rachelle","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":784550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanner, Mike 0000-0001-5833-6015","orcid":"https://orcid.org/0000-0001-5833-6015","contributorId":222914,"corporation":false,"usgs":true,"family":"Tanner","given":"Mike","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":784551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gale, Robert W. 0000-0002-8533-141X rgale@usgs.gov","orcid":"https://orcid.org/0000-0002-8533-141X","contributorId":2808,"corporation":false,"usgs":true,"family":"Gale","given":"Robert","email":"rgale@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":784552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":784553,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209147,"text":"70209147 - 2020 - Influence of remediation on sediment toxicity within the Grand Calumet River, Indiana, USA","interactions":[],"lastModifiedDate":"2020-03-20T06:47:36","indexId":"70209147","displayToPublicDate":"2020-01-31T18:49:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Influence of remediation on sediment toxicity within the Grand Calumet River, Indiana, USA","docAbstract":"The Grand Calumet River (GCR), located in northern Indiana, is contaminated due to a wide range of historical industrial activities. This study was conducted to determine the influence of sediment remediation within the GCR on concentrations of chemical contaminants and toxicity to sediment-dwelling organisms. Between 2005 and 2016, sediments with high concentrations of metals and toxic organic compounds were remediated through a combination of removal, addition of activated carbon and organoclay amendments, and capping with sand or relatively uncontaminated sediment. Short-term and long-term sediment toxicity tests with the amphipod Hyalella azteca, the midge Chironomus dilutus, and the mussel Lampsilis siliquoidea were conducted with samples collected in 2013, 2015, and 2017, from 29 sites, including both remediated and non-remediated sites. Sediment chemistry and toxicity data for three groups of remediated sites (US Steel, West Branch, and East Branch) were compared to samples from contaminated but unremediated sites and to relatively uncontaminated reference sites. In general, remediated sediments had lower levels of PAHs, PCBs and metals, although sediments from the US Steel area still had elevated levels of PAH, PCB and chromium. Sediments from the three remediated sites and from reference sites showed significantly reduced toxic effects in short-term sediment bioassays, compared to unremediated sites. Variation in the long-term success of remediation may reflect site-specific factors such as the type of remediation and the potential for recontamination from uncontrolled sources.","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2020.126056","usgsCitation":"Steevens, J.A., Besser, J.M., Dorman, R.A., and Sparks, D.W., 2020, Influence of remediation on sediment toxicity within the Grand Calumet River, Indiana, USA: Chemosphere, v. 249, 126056, https://doi.org/10.1016/j.chemosphere.2020.126056.","productDescription":"126056","ipdsId":"IP-113273","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":437131,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XIDHOV","text":"USGS data release","linkHelpText":"Chemical and biological exposure bioassay data from sediment collected within the Grand Calumet River, Indiana, USA"},{"id":373392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","otherGeospatial":"Grand Calumet 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Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":785124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sparks, Daniel W.","contributorId":223469,"corporation":false,"usgs":false,"family":"Sparks","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":785125,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208277,"text":"sir20205003 - 2020 - Extending seasonal discharge records for streamgage sites on the North Fork Fortymile and Middle Fork Fortymile Rivers, Alaska, through water year 2019","interactions":[],"lastModifiedDate":"2022-04-25T20:48:21.74271","indexId":"sir20205003","displayToPublicDate":"2020-01-31T17:09:16","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5003","displayTitle":"Extending Seasonal Discharge Records for Streamgage Sites on the North Fork Fortymile and Middle Fork Fortymile Rivers, Alaska, through Water Year 2019","title":"Extending seasonal discharge records for streamgage sites on the North Fork Fortymile and Middle Fork Fortymile Rivers, Alaska, through water year 2019","docAbstract":"<p class=\"p1\">Daily mean discharge values were estimated for May 20–September 30 for 1976–82 and 2006–18 for the U.S. Geological Survey North Fork Fortymile River and Middle Fork Fortymile River streamgage sites in Alaska. A relation between study streamgage discharge and discharge for an index streamgage on the main-stem Fortymile River for a concurrent period in 2019 was developed using the maintenance of variance extension type 3 (MOVE.3) record extension technique. The relation for North Fork Fortymile River discharges incorporated a 1-day-earlier offset to index streamgage discharges. No offset was applied to the index streamgage discharges for use with the Middle Fork Fortymile River discharges. The developed MOVE.3 regressions were used to estimate daily mean discharges at the study streamgage sites during the study season for the longer period of record of the index streamgage. The modified Nash-Sutcliffe efficiency coefficients for the estimated records were 0.38 and 0.63 for the North Fork Fortymile River and Middle Fork Fortymile River streamgages, respectively.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205003","collaboration":"Prepared in cooperation with U.S. Bureau of Land Management","usgsCitation":"Curran, J.H., 2020, Extending seasonal discharge records for streamgage sites on the North Fork Fortymile and Middle Fork Fortymile Rivers, Alaska, through water year 2019: U.S. Geological Survey Scientific Investigations Report 2020–5003, 11 p., https://doi.org/10.3133/sir20205003.","productDescription":"Report: iv, 11 p.; 1 Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-114440","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":399626,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109660.htm"},{"id":371893,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5003/sir20205003.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5033"},{"id":371892,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5003/coverthb.jpg"},{"id":371894,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5003/sir20205003_appendix1.csv","text":"Appendix 1","size":"137 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2020-5033 Appendix 1"}],"country":"United States","state":"Alaska","otherGeospatial":"North Fork Fortymile River, Middle Fork Fortymile River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -144.3333,\n              63.1667\n            ],\n            [\n              -141,\n              63.1667\n            ],\n            [\n              -141,\n              64.75\n            ],\n            [\n              -144.3333,\n              64.75\n            ],\n            [\n              -144.3333,\n              63.1667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ak@usgs.gov\" data-mce-href=\"mailto:dc_ak@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods for Estimating Extended Daily Mean Discharge Records</li><li>Extended Daily Mean Discharge Records and Error Analysis</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-01-31","noUsgsAuthors":false,"publicationDate":"2020-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":781228,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206675,"text":"70206675 - 2020 - Review of studies of composition, toxicology and human health impacts of wastewater from unconventional oil and gas development from shale","interactions":[],"lastModifiedDate":"2020-03-05T16:33:58","indexId":"70206675","displayToPublicDate":"2020-01-31T16:31:48","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"23","title":"Review of studies of composition, toxicology and human health impacts of wastewater from unconventional oil and gas development from shale","docAbstract":"<p>Unconventional oil and gas (UOG) extractions has produced large economic benefits. However, prudent management of UOG wastes necessitates a thorough understanding of the complex composition, fate, and potential impacts of wastewater releases. UOG production results in large volumes of wastewater. Despite limited re-use of the wastewater, the majority needs to be disposed of, usually by underground injection. The wastewater contains myriad organic, inorganic, and radioactive substances from hydraulic fracturing and production activities or from the (typically shale) formation. Many substances in this wastewater are either proprietary, or are known or potential toxicants. Limited toxicological studies of these mixtures suggest that some of the components are highly toxic. Thus, any releases of untreated wastewater may represent a threat to environmental integrity and human health.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"A handbook of environmental toxicology: Human disorders and ecotoxicology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CAB International Publishers","usgsCitation":"Crosby, L., and Orem, W.H., 2020, Review of studies of composition, toxicology and human health impacts of wastewater from unconventional oil and gas development from shale, chap. 23 <i>of</i> A handbook of environmental toxicology: Human disorders and ecotoxicology, p. 334-350.","productDescription":"17 p.","startPage":"334","endPage":"350","ipdsId":"IP-097385","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":372969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Crosby, Lynn M.","contributorId":220626,"corporation":false,"usgs":false,"family":"Crosby","given":"Lynn M.","affiliations":[{"id":40194,"text":"(former USGS)","active":true,"usgs":false}],"preferred":false,"id":775339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":775338,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208347,"text":"70208347 - 2020 - Identification of management thresholds of urban development in support of aquatic biodiversity conservation","interactions":[],"lastModifiedDate":"2020-02-05T16:32:15","indexId":"70208347","displayToPublicDate":"2020-01-31T16:25:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Identification of management thresholds of urban development in support of aquatic biodiversity conservation","docAbstract":"Urbanization degrades stream ecosystems and causes loss of bodiversity. Using benthic macroinvertebrates as a surragate for overall aquatic diversity, we conducted a series of analytical approaches to derive management thresholds of urban development designed to link ecological responses to the primary management goal of protecting aquatic diversity in streams within the Delaware Water Gap National Recreation Area (USA). We were particularly interested in identifying urban thresholds that represent the early phases of biological impact to support cost-effect management and mitigation interventions. We used taxa-specific modeling approaches within a spatially-explicit framework to develop sensitive thresholds that anticipate and demark the onset of taxa loss and provide a foundation for investigating alternative mechanisms driving biological change. We identified an early-warning threshold of 1.5% urban development in the contributing watershed where 15% of the 107 taxa evaluated exhibited significant declines in abundance but prior to any evidence of extirpation, and an extirpation threshold of 6% urban development where nearly 3% of taxa are likely to be lost locally. These thresholds of urban development are substantially lower than response thresholds typically reported based upon traditional modeling approaches that rely on spatially-implicit summaries of land cover and univariate metrics or composite indices. An analysis of ecological and functional trait composition of taxa determined to be sensitive suggests that reduced storage of benthic organic matter caused by flashier hydrographs may be the primary mechanism driving biological changes observed at relatively low levels of urbanization. Although the extent to which stream communities respond to stressor gradients in a non-linear fashion continues to be debated, we show that threshold approaches can be applied in support of aquatic resource management irrespective of whether or not stress-response functions are non-linear.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2020.106124","usgsCitation":"Snyder, C.D., and Young, J.A., 2020, Identification of management thresholds of urban development in support of aquatic biodiversity conservation: Ecological Indicators, v. 112, 106124, 14 p., https://doi.org/10.1016/j.ecolind.2020.106124.","productDescription":"106124, 14 p.","ipdsId":"IP-112218","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":457919,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2020.106124","text":"Publisher Index Page"},{"id":437132,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MI9BOO","text":"USGS data release","linkHelpText":"Benthic macroinvertebrates abundance data for the study of urbanization effects in the Delaware Water Gap National Recreation Area, (2006)"},{"id":372098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, Pennsylvania","otherGeospatial":"Delaware Water Gap National Recreation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.157470703125,\n              40.92804010533237\n            ],\n            [\n              -74.77706909179688,\n              40.92804010533237\n            ],\n            [\n              -74.77706909179688,\n              41.47771800887871\n            ],\n            [\n              -75.157470703125,\n              41.47771800887871\n            ],\n            [\n              -75.157470703125,\n              40.92804010533237\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"112","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":781527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":781528,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208237,"text":"70208237 - 2020 - Direct trace element determination in oil and gas produced waters with inductively coupled plasma - Optical emission spectrometry (ICP-OES): Advantages of high salinity tolerance","interactions":[],"lastModifiedDate":"2020-06-04T16:51:39.984534","indexId":"70208237","displayToPublicDate":"2020-01-31T16:07:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"Direct trace element determination in oil and gas produced waters with inductively coupled plasma - Optical emission spectrometry (ICP-OES): Advantages of high salinity tolerance","docAbstract":"Waters co-produced during petroleum extraction are the largest waste stream from oil and gas development. Reuse or disposal of these waters is difficult due to their high salinities and the sheer volumes generated. Produced waters may also contain valuable mineral commodities. While an understanding of produced water trace element composition is required for evaluating the associated resource and waste potential of these materials, measuring trace elements in brines is challenging due to the dilution requirements of typical methods. Alternatively, inductively coupled plasma-optical emission spectrometry (ICP-OES) has shown promise as being capable of direct measurements of trace elements within produced waters with minimal dilution. Here we evaluate direct ICP-OES trace element quantification in produced waters for 17 trace elements (As, Al, Ba, Be, Cd, Cr, Co, Cu, Hg, Mo, Ni, Pb, Rb, Sb, U, V, and Zn) within 15 produced waters from five U.S. continuous reservoirs. The ICP-OES results are compared against trace element levels determined using inductively coupled plasma-mass spectrometry from the same samples. Our results demonstrate the potential for direct analysis of high salinity waters using ICP-OES with minimal dilution and provide trace element concentrations in waters from several important U.S. petroleum-generating reservoirs where available data is sparse.","language":"English","publisher":"Wiley","doi":"10.1111/GGR.12316","usgsCitation":"Jubb, A., Engle, M., Chenault, J., Blondes, M., Danforth, C.G., Doolan, C., Gallegos, T., Mueller, D., and Shelton, J., 2020, Direct trace element determination in oil and gas produced waters with inductively coupled plasma - Optical emission spectrometry (ICP-OES): Advantages of high salinity tolerance: Geostandards and Geoanalytical Research, v. 44, no. 2, p. 385-397, https://doi.org/10.1111/GGR.12316.","productDescription":"13 p.","startPage":"385","endPage":"397","ipdsId":"IP-111055","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":457922,"rank":0,"type":{"id":40,"text":"Open 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0000-0001-5258-7374","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":222085,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chenault, Jessica 0000-0002-5974-0762","orcid":"https://orcid.org/0000-0002-5974-0762","contributorId":222078,"corporation":false,"usgs":true,"family":"Chenault","given":"Jessica","email":"","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blondes, Madalyn 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":222079,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Danforth, Cloelle G.","contributorId":222080,"corporation":false,"usgs":false,"family":"Danforth","given":"Cloelle","email":"","middleInitial":"G.","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":781219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doolan, Colin 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":222081,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781121,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallegos, Tanya 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":222082,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781122,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, Dan","contributorId":222083,"corporation":false,"usgs":false,"family":"Mueller","given":"Dan","email":"","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":781220,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shelton, Jenna 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":222084,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781124,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70211920,"text":"70211920 - 2020 - Mortality of endangered juvenile Lost River Suckers associated with cyanobacteria blooms in mesocosms in Upper Klamath Lake, Oregon","interactions":[],"lastModifiedDate":"2020-08-11T20:37:45.689104","indexId":"70211920","displayToPublicDate":"2020-01-31T15:30:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Mortality of endangered juvenile Lost River Suckers associated with cyanobacteria blooms in mesocosms in Upper Klamath Lake, Oregon","docAbstract":"<p><span>Unsustainably high mortality within the first 2&nbsp;years of life prevents endangered Lost River Suckers&nbsp;</span><i>Deltistes luxatus<span>&nbsp;</span></i><span>in Upper Klamath Lake, Oregon, from recruiting to spawning populations. Massive blooms of the cyanobacterium&nbsp;</span><i>Aphanizomenon flos‐aquae<span>&nbsp;</span></i><span>and their subsequent death and decay in the lake (bloom‐crashes) are associated with high pH, low percent oxygen saturation, high total ammonia concentrations, and spikes in the cyanotoxin microcystin. Poor water quality within the lake is considered the most likely cause of juvenile sucker mortality, but mechanisms causing the high mortality are not known. We introduced PIT‐tagged age‐1 Lost River suckers into three continuously monitored mesocosms in Upper Klamath Lake to determine the timing of juvenile sucker mortality relative to pH, temperature, and dissolved oxygen. Mortality was inferred from a lack of movement detected on remote PIT tag detection equipment within each mesocosm. Mortality was compared among mesocosms and an indoor tank‐held control group. We fitted time‐varying Cox hazard models to test hypotheses about short‐term and chronic effects of single and co‐occurring water quality parameters on the daily hazard rate. Presumed healthy or moribund fish that were collected pre‐season, mid‐season, or at the end of the study were examined macroscopically and histologically to generate inferences about the causes of mortality. Models did not indicate a plausible association between water quality variables and mortality. Hypoxia preceded periods of higher mortality at two of three sites but did not co‐occur with mortality. Hatchery‐reared Lost River Suckers confined to mesocosms may not represent the behavior of wild fish, and it is unclear whether the same factors affect the mortality of wild age‐0 suckers.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10227","usgsCitation":"Burdick, S.M., Hereford, D.M., Conway, C.M., Banet, N.V., Powers, R., Martin, B.A., and Elliott, D.G., 2020, Mortality of endangered juvenile Lost River Suckers associated with cyanobacteria blooms in mesocosms in Upper Klamath Lake, Oregon: Transactions of the American Fisheries Society, v. 149, no. 3, p. 245-265, https://doi.org/10.1002/tafs.10227.","productDescription":"21 p.","startPage":"245","endPage":"265","ipdsId":"IP-111701","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":377390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.13226318359375,\n              42.200038266046754\n            ],\n            [\n              -121.74774169921875,\n              42.200038266046754\n            ],\n            [\n              -121.74774169921875,\n              42.60768474453004\n            ],\n            [\n              -122.13226318359375,\n              42.60768474453004\n            ],\n            [\n              -122.13226318359375,\n              42.200038266046754\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"149","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":795812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hereford, Danielle M 0000-0001-8993-6144","orcid":"https://orcid.org/0000-0001-8993-6144","contributorId":238014,"corporation":false,"usgs":false,"family":"Hereford","given":"Danielle","email":"","middleInitial":"M","affiliations":[{"id":47681,"text":"U. 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