{"pageNumber":"1168","pageRowStart":"29175","pageSize":"25","recordCount":184812,"records":[{"id":70160804,"text":"70160804 - 2016 - Addressing potential local adaptation in species distribution models: implications for conservation under climate change","interactions":[],"lastModifiedDate":"2016-06-15T16:12:31","indexId":"70160804","displayToPublicDate":"2015-12-31T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Addressing potential local adaptation in species distribution models: implications for conservation under climate change","docAbstract":"<p><span>Species distribution models (SDMs) have been criticized for involving assumptions that ignore or categorize many ecologically relevant factors such as dispersal ability and biotic interactions. Another potential source of model error is the assumption that species are ecologically uniform in their climatic tolerances across their range. Typically, SDMs to treat a species as a single entity, although populations of many species differ due to local adaptation or other genetic differentiation. Not taking local adaptation into account, may lead to incorrect range prediction and therefore misplaced conservation efforts. A constraint is that we often do not know the degree to which populations are locally adapted, however. Lacking experimental evidence, we still can evaluate niche differentiation within a species' range to promote better conservation decisions. We explore possible conservation implications of making type I or type II errors in this context. For each of two species, we construct three separate MaxEnt models, one considering the species as a single population and two of disjunct populations. PCA analyses and response curves indicate different climate characteristics in the current environments of the populations. Model projections into future climates indicate minimal overlap between areas predicted to be climatically suitable by the whole species versus population-based models. We present a workflow for addressing uncertainty surrounding local adaptation in SDM application and illustrate the value of conducting population-based models to compare with whole-species models. These comparisons might result in more cautious management actions when alternative range outcomes are considered.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/15-0926","usgsCitation":"Hallfors, M.H., Liao, J., Dzurisin, J., Grundel, R., Hyvarinen, M., Towle, K., Wu, G.C., and Hellmann, J.J., 2016, Addressing potential local adaptation in species distribution models: implications for conservation under climate change: Ecological Applications, v. 26, no. 4, p. 1154-1169, https://doi.org/10.1890/15-0926.","productDescription":"16 p.","startPage":"1154","endPage":"1169","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064359","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-08","publicationStatus":"PW","scienceBaseUri":"568651b3e4b0e7594ee74c9b","contributors":{"authors":[{"text":"Hallfors, Maria Helena","contributorId":151004,"corporation":false,"usgs":false,"family":"Hallfors","given":"Maria","email":"","middleInitial":"Helena","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":583962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liao, Jishan","contributorId":151005,"corporation":false,"usgs":false,"family":"Liao","given":"Jishan","email":"","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":583963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dzurisin, Jason D. K.","contributorId":151006,"corporation":false,"usgs":false,"family":"Dzurisin","given":"Jason D. K.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":583964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hyvarinen, Marko","contributorId":151007,"corporation":false,"usgs":false,"family":"Hyvarinen","given":"Marko","email":"","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":583965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Towle, Kevin","contributorId":151008,"corporation":false,"usgs":false,"family":"Towle","given":"Kevin","email":"","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":583966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wu, Grace C.","contributorId":151009,"corporation":false,"usgs":false,"family":"Wu","given":"Grace","email":"","middleInitial":"C.","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":583967,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hellmann, Jessica J.","contributorId":149219,"corporation":false,"usgs":false,"family":"Hellmann","given":"Jessica","email":"","middleInitial":"J.","affiliations":[{"id":17677,"text":"Department of Biological Sciences, University of Notre Dame, Notre Dame, IN","active":true,"usgs":false}],"preferred":false,"id":583968,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70160852,"text":"70160852 - 2016 - A pilot study testing a natural and a synthetic Molluscicide for controlling invasive apple snails (<i>Pomacea maculata</i>)","interactions":[],"lastModifiedDate":"2016-07-17T23:26:41","indexId":"70160852","displayToPublicDate":"2015-12-31T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"A pilot study testing a natural and a synthetic Molluscicide for controlling invasive apple snails (<i>Pomacea maculata</i>)","docAbstract":"<p><i class=\"EmphasisTypeItalic \">Pomacea maculata</i><span>&nbsp;(formerly&nbsp;</span><i class=\"EmphasisTypeItalic \">P. insularum</i><span>), an apple snail native to South America, was discovered in Louisiana in 2008. These snails strip vegetation, reproduce at tremendous rates, and have reduced rice production and caused ecosystem changes in Asia. In this pilot study snails were exposed to two molluscicides, a tea (</span><i class=\"EmphasisTypeItalic \">Camellia sinensis</i><span>) seed derivative (TSD) or niclosamide monohydrate (Pestanal</span><span>&reg;</span><span>, 2&prime;,5-dichloro-4&prime;-nitrosalicylanilide, CAS #73360-56-2). Mortality was recorded after exposure to high or low concentrations (0.03 and 0.015&nbsp;g/L for TSD, 1.3 and 0.13&nbsp;mg/L for niclosamide). The TSD induced 100&nbsp;% mortality at both concentrations. Niclosamide caused 100&nbsp;% and 17&nbsp;% mortality at high and low concentrations respectively. These molluscicides were also tested on potential biocontrol agents, the red swamp crayfish (</span><i class=\"EmphasisTypeItalic \">Procambarus clarkii</i><span>) and redear sunfish (</span><i class=\"EmphasisTypeItalic \">Lepomis microlophus</i><span>). No crayfish mortalities occurred at either concentration for either chemical, but sunfish experienced 100&nbsp;% mortality with TSD (0.03&nbsp;g/L), and 21&nbsp;% mortality with niclosamide (0.13&nbsp;mg/L).</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00128-015-1709-z","usgsCitation":"Olivier, H.M., Jenkins, J.A., Berhow, M., and Carter, J., 2016, A pilot study testing a natural and a synthetic Molluscicide for controlling invasive apple snails (<i>Pomacea maculata</i>): Bulletin of Environmental Contamination and Toxicology, v. 96, no. 3, p. 289-294, https://doi.org/10.1007/s00128-015-1709-z.","productDescription":"6 p.","startPage":"289","endPage":"294","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063248","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":313134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-21","publicationStatus":"PW","scienceBaseUri":"568651b0e4b0e7594ee74c99","contributors":{"authors":[{"text":"Olivier, Heather M.","contributorId":23245,"corporation":false,"usgs":true,"family":"Olivier","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":584030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":584031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berhow, Mark","contributorId":151023,"corporation":false,"usgs":false,"family":"Berhow","given":"Mark","email":"","affiliations":[{"id":18168,"text":"USDA ARS","active":true,"usgs":false}],"preferred":false,"id":584032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Jacoby 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":2399,"corporation":false,"usgs":true,"family":"Carter","given":"Jacoby","email":"carterj@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":584033,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175457,"text":"70175457 - 2016 - Female sea lamprey shift orientation toward a conspecific chemical cue to escape a sensory trap","interactions":[],"lastModifiedDate":"2016-08-12T10:20:47","indexId":"70175457","displayToPublicDate":"2015-12-31T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Female sea lamprey shift orientation toward a conspecific chemical cue to escape a sensory trap","docAbstract":"<p><span>The sensory trap model of signal evolution hypothesizes that signalers adapt to exploit a cue used by the receiver in another context. Although exploitation of receiver biases can result in conflict between the sexes, deceptive signaling systems that are mutually beneficial drive the evolution of stable communication systems. However, female responses in the nonsexual and sexual contexts may become uncoupled if costs are associated with exhibiting a similar response to a trait in both contexts. Male sea lamprey (</span><i>Petromyzon marinus</i><span>) signal with a mating pheromone, 3-keto petromyzonol sulfate (3kPZS), which may be a match to a juvenile cue used by females during migration. Upstream movement of migratory lampreys is partially guided by 3kPZS, but females only move toward 3kPZS with proximal accuracy during spawning. Here, we use in-stream behavioral assays paired with gonad histology to document the transition of female preference for juvenile- and male-released 3kPZS that coincides with the functional shift of 3kPZS as a migratory cue to a mating pheromone. Females became increasingly biased toward the source of synthesized 3kPZS as their maturation progressed into the reproductive phase, at which point, a preference for juvenile odor (also containing 3kPZS naturally) ceased to exist. Uncoupling of female responses during migration and spawning makes the 3kPZS communication system a reliable means of synchronizing mate search. The present study offers a rare example of a transition in female responses to a chemical cue between nonsexual and sexual contexts, provides insights into the origins of stable communication signaling systems.</span></p>","language":"English","publisher":"International Society for Behavioral Ecology","publisherLocation":"Oxford, UK","doi":"10.1093/beheco/arv224","usgsCitation":"Brant, C.O., Johnson, N., Li, K., Buchinger, T.J., and Li, W., 2016, Female sea lamprey shift orientation toward a conspecific chemical cue to escape a sensory trap: Behavioral Ecology, v. 27, no. 3, p. 810-819, https://doi.org/10.1093/beheco/arv224.","startPage":"810","endPage":"819","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070842","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-20","publicationStatus":"PW","scienceBaseUri":"57aef33ce4b0fc09faae0372","contributors":{"authors":[{"text":"Brant, Cory O.","contributorId":126746,"corporation":false,"usgs":false,"family":"Brant","given":"Cory","email":"","middleInitial":"O.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":645321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Ke","contributorId":94959,"corporation":false,"usgs":true,"family":"Li","given":"Ke","affiliations":[],"preferred":false,"id":645322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buchinger, Tyler J.","contributorId":40508,"corporation":false,"usgs":true,"family":"Buchinger","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":645323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":645324,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191820,"text":"70191820 - 2016 - Water-quality effects on phytoplankton species and density and trophic state indices at Big Base and Little Base Lakes, Little Rock Air Force Base, Arkansas, June through August, 2015","interactions":[],"lastModifiedDate":"2017-10-25T14:30:19","indexId":"70191820","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2531,"text":"Journal of the Arkansas Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Water-quality effects on phytoplankton species and density and trophic state indices at Big Base and Little Base Lakes, Little Rock Air Force Base, Arkansas, June through August, 2015","docAbstract":"Big Base and Little Base Lakes are located on\r\nLittle Rock Air Force Base, Arkansas, and their close\r\nproximity to a dense residential population and an\r\nactive military/aircraft installation make the lakes\r\nvulnerable to water-quality degradation. The U.S.\r\nGeological Survey (USGS) conducted a study from\r\nJune through August 2015 to investigate the effects of\r\nwater quality on phytoplankton species and density and\r\ntrophic state in Big Base and Little Base Lakes, with\r\nparticular regard to nutrient concentrations. Nutrient\r\nconcentrations, trophic-state indices, and the large part\r\nof the phytoplankton biovolume composed of\r\ncyanobacteria, indicate eutrophic conditions were\r\nprevalent for Big Base and Little Base Lakes,\r\nparticularly in August 2015. Cyanobacteria densities\r\nand biovolumes measured in this study likely pose a\r\nlow to moderate risk of adverse algal toxicity, and the\r\nhigh proportion of filamentous cyanobacteria in the\r\nlakes, in relation to other algal groups, is important\r\nfrom a fisheries standpoint because these algae are a\r\npoor food source for many aquatic taxa. In both lakes,\r\ntotal nitrogen to total phosphorus (N:P) ratios declined\r\nover the sampling period as total phosphorus\r\nconcentrations increased relative to nitrogen\r\nconcentrations. The N:P ratios in the August samples\r\n(20:1 and 15:1 in Big Base and Little Base Lakes,\r\nrespectively) and other indications of eutrophic\r\nconditions are of concern and suggest that exposure of\r\nthe two lakes to additional nutrients could cause\r\nunfavorable dissolved-oxygen conditions and increase\r\nthe risk of cyanobacteria blooms and associated\r\ncyanotoxin issues.","language":"English","publisher":"Arkansas Academy of Science","usgsCitation":"Driver, L., and Justus, B., 2016, Water-quality effects on phytoplankton species and density and trophic state indices at Big Base and Little Base Lakes, Little Rock Air Force Base, Arkansas, June through August, 2015: Journal of the Arkansas Academy of Science, v. 70, no. 1, p. 88-95.","productDescription":"8 p.","startPage":"88","endPage":"95","ipdsId":"IP-074006","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":347379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346820,"type":{"id":15,"text":"Index Page"},"url":"https://scholarworks.uark.edu/jaas/vol70/iss1/16"}],"country":"United States","state":"Arkansas","otherGeospatial":"Big Base Lake, Little Base Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.17520713806152,\n              34.888395122782164\n            ],\n            [\n              -92.1556806564331,\n              34.888395122782164\n            ],\n            [\n              -92.1556806564331,\n              34.904375309375645\n            ],\n            [\n              -92.17520713806152,\n              34.904375309375645\n            ],\n            [\n              -92.17520713806152,\n              34.888395122782164\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"70","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a8e4b0220bbd9d9f8d","contributors":{"authors":[{"text":"Driver, Lucas ldriver@usgs.gov","contributorId":197344,"corporation":false,"usgs":true,"family":"Driver","given":"Lucas","email":"ldriver@usgs.gov","affiliations":[],"preferred":true,"id":713230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Justus, Billy bjustus@usgs.gov","contributorId":152446,"corporation":false,"usgs":true,"family":"Justus","given":"Billy","email":"bjustus@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713229,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168829,"text":"70168829 - 2016 - Water-quality response to a high-elevation wildfire in the Colorado Front Range","interactions":[],"lastModifiedDate":"2021-04-20T13:20:37.020538","indexId":"70168829","displayToPublicDate":"2015-12-29T15:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Water-quality response to a high-elevation wildfire in the Colorado Front Range","docAbstract":"<p><span>Water quality of the Big Thompson River in the Front Range of Colorado was studied for 2 years following a high‐elevation wildfire that started in October 2012 and burned 15% of the watershed. A combination of fixed‐interval sampling and continuous water‐quality monitors was used to examine the timing and magnitude of water‐quality changes caused by the wildfire. Prefire water quality was well characterized because the site has been monitored at least monthly since the early 2000s. Major ions and nitrate showed the largest changes in concentrations; major ion increases were greatest in the first postfire snowmelt period, but nitrate increases were greatest in the second snowmelt period. The delay in nitrate release until the second snowmelt season likely reflected a combination of factors including fire timing, hydrologic regime, and rates of nitrogen transformations. Despite the small size of the fire, annual yields of dissolved constituents from the watershed increased 20–52% in the first 2 years following the fire. Turbidity data from the continuous sensor indicated high‐intensity summer rain storms had a much greater effect on sediment transport compared to snowmelt. High‐frequency sensor data also revealed that weekly sampling missed the concentration peak during snowmelt and short‐duration spikes during rain events, underscoring the challenge of characterizing postfire water‐quality response with fixed‐interval sampling.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10755","usgsCitation":"Mast, M.A., Murphy, S.F., Clow, D.W., Penn, C.A., and Sexstone, G.A., 2016, Water-quality response to a high-elevation wildfire in the Colorado Front Range: Hydrological Processes, v. 30, no. 12, p. 1811-1823, https://doi.org/10.1002/hyp.10755.","productDescription":"13 p.","startPage":"1811","endPage":"1823","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065060","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":318577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.82717895507812,\n              40.23708119770155\n            ],\n            [\n              -105.82305908203124,\n              40.18359473454382\n            ],\n            [\n              -105.72143554687499,\n              40.17415156558727\n            ],\n            [\n              -105.64659118652344,\n              40.1636576142761\n            ],\n            [\n              -105.58822631835938,\n              40.14056521073614\n            ],\n            [\n              -105.54290771484374,\n              40.14056521073614\n            ],\n            [\n              -105.53123474121094,\n              40.16208338164619\n   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Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":621896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Penn, Colin A. 0000-0002-5195-2744 cpenn@usgs.gov","orcid":"https://orcid.org/0000-0002-5195-2744","contributorId":5336,"corporation":false,"usgs":true,"family":"Penn","given":"Colin","email":"cpenn@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sexstone, Graham A. 0000-0001-8913-0546 sexstone@usgs.gov","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":5159,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham","email":"sexstone@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":621899,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70158963,"text":"70158963 - 2016 - No damsel in distress","interactions":[],"lastModifiedDate":"2018-04-24T13:48:55","indexId":"70158963","displayToPublicDate":"2015-12-29T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"No damsel in distress","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/03632415.2015.1111875","usgsCitation":"Lynch, A., 2016, No damsel in distress: Fisheries, v. 41, no. 1, p. 10-11, https://doi.org/10.1080/03632415.2015.1111875.","productDescription":"2 p.","startPage":"10","endPage":"11","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068430","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":313942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-29","publicationStatus":"PW","scienceBaseUri":"568e491fe4b0e7a44bc41a11","contributors":{"authors":[{"text":"Lynch, Abigail J. ajlynch@usgs.gov","contributorId":146923,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail J.","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":577072,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159495,"text":"70159495 - 2016 - Evolution of mid-Atlantic coastal and back-barrier estuary environments in response to a hurricane: Implications for barrier-estuary connectivity","interactions":[],"lastModifiedDate":"2016-12-14T12:29:43","indexId":"70159495","displayToPublicDate":"2015-12-29T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of mid-Atlantic coastal and back-barrier estuary environments in response to a hurricane: Implications for barrier-estuary connectivity","docAbstract":"<p>Assessments of coupled barrier island-estuary storm response are rare. Hurricane Sandy made landfall during an investigation in Barnegat Bay-Little Egg Harbor estuary that included water quality monitoring, geomorphologic characterization, and numerical modeling; this provided an opportunity to characterize the storm response of the barrier island-estuary system. Barrier island morphologic response was characterized by significant changes in shoreline position, dune elevation, and beach volume; morphologic changes within the estuary were less dramatic with a net gain of only 200,000 m<sup>3</sup> of sediment. When observed, estuarine deposition was adjacent to the back-barrier shoreline or collocated with maximum estuary depths. Estuarine sedimentologic changes correlated well with bed shear stresses derived from numerically simulated storm conditions, suggesting that change is linked to winnowing from elevated storm-related wave-current interactions rather than deposition. Rapid storm-related changes in estuarine water level, turbidity, and salinity were coincident with minima in island and estuarine widths, which may have influenced the location of two barrier island breaches. Barrier-estuary connectivity, or the transport of sediment from barrier island to estuary, was influenced by barrier island land use and width. Coupled assessments like this one provide critical information about storm-related coastal and estuarine sediment transport that may not be evident from investigations that consider only one component of the coastal system.</p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-015-0057-x","usgsCitation":"Miselis, J.L., Andrews, B., Nicholson, R.S., Defne, Z., Ganju, N., and Navoy, A.S., 2016, Evolution of mid-Atlantic coastal and back-barrier estuary environments in response to a hurricane: Implications for barrier-estuary connectivity: Estuaries and Coasts, v. 39, no. 4, p. 916-934, https://doi.org/10.1007/s12237-015-0057-x.","productDescription":"19 p.","startPage":"916","endPage":"934","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061843","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471394,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":579224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":149613,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Navoy, Anthony S. anavoy@usgs.gov","contributorId":2464,"corporation":false,"usgs":true,"family":"Navoy","given":"Anthony","email":"anavoy@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":579226,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70161737,"text":"70161737 - 2016 - Identification of groundwater nitrate contamination from explosives used in road construction: Isotopic, chemical, and hydrologic evidence","interactions":[],"lastModifiedDate":"2023-03-28T16:35:56.038705","indexId":"70161737","displayToPublicDate":"2015-12-28T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Identification of groundwater nitrate contamination from explosives used in road construction: Isotopic, chemical, and hydrologic evidence","docAbstract":"<p><span>Explosives used in construction have been implicated as sources of NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;contamination in groundwater, but direct forensic evidence is limited. Identification of blasting-related NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;can be complicated by other NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;sources, including agriculture and wastewater disposal, and by hydrogeologic factors affecting NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;transport and stability. Here we describe a study that used hydrogeology, chemistry, stable isotopes, and mass balance calculations to evaluate groundwater NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;sources and transport in areas surrounding a highway construction site with documented blasting in New Hampshire. Results indicate various groundwater responses to contamination: (1) rapid breakthrough and flushing of synthetic NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;(low &delta;</span><span>15</span><span>N, high &delta;</span><span>18</span><span>O) from dissolution of unexploded NH</span><sub><span>4</span></sub><span>NO</span><sub><span>3</span></sub><span>&nbsp;blasting agents in oxic groundwater; (2) delayed and reduced breakthrough of synthetic NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;subjected to partial denitrification (high &delta;</span><sup><span>15</span></sup><span>N, high &delta;</span><sup><span>18</span></sup><span>O); (3) relatively persistent concentrations of blasting-related biogenic NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;derived from nitrification of NH</span><sub><span>4</span></sub><span>+</span><span>&nbsp;(low &delta;</span><sup><span>15</span></sup><span>N, low &delta;</span><sup><span>18</span></sup><span>O); and (4) stable but spatially variable biogenic NO</span><sub><span>3</span></sub><span>&ndash;</span><span>&nbsp;concentrations, consistent with recharge from septic systems (high &delta;</span><sup><span>15</span></sup><span>N, low &delta;</span><sup><span>18</span></sup><span>O), variably affected by denitrification. Source characteristics of denitrified samples were reconstructed from dissolved-gas data (Ar, N</span><sub><span>2</span></sub><span>) and isotopic fractionation trends associated with denitrification (&Delta;&delta;</span><sup><span>15</span></sup><span>N/&Delta;&delta;</span><sup><span>18</span></sup><span>O &asymp; 1.31). Methods and data from this study are expected to be applicable in studies of other aquifers affected by explosives used in construction.</span></p>","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/acs.est.5b03671","usgsCitation":"Degnan, J.R., Bohlke, J.K., Pelham, K., Langlais, D.M., and Walsh, G.J., 2016, Identification of groundwater nitrate contamination from explosives used in road construction: Isotopic, chemical, and hydrologic evidence: Environmental Science & Technology, v. 50, no. 2, p. 593-603, https://doi.org/10.1021/acs.est.5b03671.","productDescription":"11 p.","startPage":"593","endPage":"603","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067263","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":313910,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-28","publicationStatus":"PW","scienceBaseUri":"568e4912e4b0e7a44bc419dd","chorus":{"doi":"10.1021/acs.est.5b03671","url":"http://dx.doi.org/10.1021/acs.est.5b03671","publisher":"American Chemical Society (ACS)","authors":"Degnan James R., Böhlke J. K., Pelham Krystle, Langlais David M., Walsh Gregory J.","journalName":"Environmental Science & Technology","publicationDate":"1/19/2016"},"contributors":{"authors":[{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":587713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pelham, Krystle","contributorId":152027,"corporation":false,"usgs":false,"family":"Pelham","given":"Krystle","email":"","affiliations":[{"id":18856,"text":"NH Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":587714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langlais, David M.","contributorId":152028,"corporation":false,"usgs":false,"family":"Langlais","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":18857,"text":"Hoyle, Tanner & Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":587715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":587716,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70160573,"text":"70160573 - 2016 - Quantifying watershed-scale groundwater loading and in-stream fate of nitrate using high-frequency water quality data","interactions":[],"lastModifiedDate":"2018-02-04T13:28:33","indexId":"70160573","displayToPublicDate":"2015-12-28T00:00:00","publicationYear":"2016","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":"Quantifying watershed-scale groundwater loading and in-stream fate of nitrate using high-frequency water quality data","docAbstract":"<p><span>We describe a new approach that couples hydrograph separation with high-frequency nitrate data to quantify time-variable groundwater and runoff loading of nitrate to streams, and the net in-stream fate of nitrate at the watershed-scale. The approach was applied at three sites spanning gradients in watershed size and land use in the Chesapeake Bay watershed. Results indicate that 58-73% of the annual nitrate load to the streams was groundwater-discharged nitrate. Average annual first order nitrate loss rate constants (k) were similar to those reported in both modelling and in-stream process-based studies, and were greater at the small streams (0.06 and 0.22 d<sup>-1</sup></span><span>) than at the large river (0.05 d</span><sup><span>-1</span></sup><span>), but 11% of the annual loads were retained/lost in the small streams, compared with 23% in the large river. Larger streambed area to water volume ratios in small streams result in greater loss rates, but shorter residence times in small streams result in a smaller fraction of nitrate loads being removed than in larger streams. A seasonal evaluation of k values suggests that nitrate was retained/lost at varying rates during the growing season. Consistent with previous studies, streamflow and nitrate concentration were inversely related to k. This new approach for interpreting high-frequency nitrate data and the associated findings furthers our ability to understand, predict, and mitigate nitrate impacts on streams and receiving waters by providing insights into temporal nitrate dynamics that would be difficult to obtain using traditional field-based studies.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015WR017753","usgsCitation":"Miller, M.P., Tesoriero, A., Capel, P.D., Pellerin, B.A., Hyer, K., and Burns, D.A., 2016, Quantifying watershed-scale groundwater loading and in-stream fate of nitrate using high-frequency water quality data: Water Resources Research, v. 52, no. 1, p. 330-347, https://doi.org/10.1002/2015WR017753.","productDescription":"18 p.","startPage":"330","endPage":"347","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062753","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":471396,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr017753","text":"Publisher Index Page"},{"id":314157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Pennsylvania, Maryland, New York, Virginia, West Virginia","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.0478515625,\n              42.956422511073335\n            ],\n            [\n              -74.619140625,\n              42.334184385939416\n            ],\n            [\n              -74.81689453125,\n              41.87774145109676\n            ],\n            [\n              -74.739990234375,\n              41.590796851056005\n            ],\n            [\n              -74.739990234375,\n              41.343824581185686\n            ],\n            [\n              -75.201416015625,\n              40.93011520598305\n            ],\n            [\n              -75.3662109375,\n              40.588928169693745\n            ],\n            [\n              -75.38818359375,\n              40.22082997283284\n            ],\n            [\n              -75.5419921875,\n              39.842286020743394\n            ],\n            [\n              -75.6298828125,\n           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   ],\n            [\n              -79.024658203125,\n              40.22082997283284\n            ],\n            [\n              -78.92578124999999,\n              40.91351257612758\n            ],\n            [\n              -78.44238281249999,\n              41.6154423246811\n            ],\n            [\n              -76.9482421875,\n              42.83569550641454\n            ],\n            [\n              -76.37695312499999,\n              43.14909399920127\n            ],\n            [\n              -75.904541015625,\n              43.34914966389313\n            ],\n            [\n              -75.443115234375,\n              43.46089378008257\n            ],\n            [\n              -74.432373046875,\n              43.42898792344157\n            ],\n            [\n              -74.11376953125,\n              43.28520334369384\n            ],\n            [\n              -74.0478515625,\n              42.956422511073335\n            ]\n          ]\n        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Center","active":true,"usgs":true}],"preferred":false,"id":588269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":588270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":588271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hyer, Kenneth E. kenhyer@usgs.gov","contributorId":152108,"corporation":false,"usgs":true,"family":"Hyer","given":"Kenneth E.","email":"kenhyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":588272,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":588273,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70155254,"text":"70155254 - 2016 - The East African monsoon system: Seasonal climatologies and recent variations: Chapter 10","interactions":[],"lastModifiedDate":"2017-04-17T15:14:20","indexId":"70155254","displayToPublicDate":"2015-12-26T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The East African monsoon system: Seasonal climatologies and recent variations: Chapter 10","docAbstract":"<p><span>This chapter briefly reviews the complex climatological cycle of the East African monsoon system, paying special attention to its connection to the larger Indo-Pacific-Asian monsoon cycle. We examine the seasonal monsoon cycle, and briefly explore recent circulation changes. The spatial footprint of our analysis corresponds with the “Greater Horn of Africa” (GHA) region, extending from Tanzania in the south to Yemen and Sudan in the north. During boreal winter, when northeast trade winds flow across the northwest Indian Ocean and the equatorial moisture transports over the Indian Ocean exhibit strong westerly mean flows over the equatorial Indian Ocean, East African precipitation is limited to a few highland areas. As the Indian monsoon circulation transitions during boreal spring, the trade winds over the northwest Indian Ocean reverse, and East African moisture convergence supports the “long” rains. In boreal summer, the southwesterly Somali Jet intensifies over eastern Africa. Subsidence forms along the westward flank of this jet, shutting down precipitation over eastern portions of East Africa. In boreal fall, the Jet subsides, but easterly moisture transports support rainfall in limited regions of the eastern Horn of Africa. We use regressions with the trend mode of global sea surface temperatures to explore potential changes in the seasonal monsoon circulations. Significant reductions in total precipitable water are indicated in Kenya, Tanzania, Rwanda, Burundi, Uganda, Ethiopia, South Sudan, Sudan, and Yemen, with moisture transports broadly responding in ways that reinforce the climatological moisture transports over the Indian Ocean. Over Kenya, southern Ethiopia and Somalia, regressions with velocity potential indicate increased convergence aloft. Near the surface, this convergence appears to manifest as a surface high pressure system that modifies moisture transports in these countries as well as Uganda, Tanzania, Rwanda, and Burundi. An analysis of rainfall changes indicates significant declines in parts of Tanzania, Rwanda, Burundi, Uganda, Kenya, Somalia, Ethiopia, and Yemen.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Monsoons and Climate Change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Cham","doi":"10.1007/978-3-319-21650-8_8","usgsCitation":"Funk, C.C., Hoell, A., Shukla, S., Husak, G.J., and Michaelsen, J., 2016, The East African monsoon system: Seasonal climatologies and recent variations: Chapter 10, chap. <i>of</i> The Monsoons and Climate Change, p. 163-185, https://doi.org/10.1007/978-3-319-21650-8_8.","productDescription":"13 p.","startPage":"163","endPage":"185","ipdsId":"IP-062072","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":339820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-21","publicationStatus":"PW","scienceBaseUri":"58f5d440e4b0f2e20545e415","contributors":{"authors":[{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":565381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoell, Andrew","contributorId":145803,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":565382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shukla, Shraddhanand","contributorId":145802,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":565383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Husak, Gregory J.","contributorId":34435,"corporation":false,"usgs":true,"family":"Husak","given":"Gregory","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":565384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michaelsen, J.","contributorId":12288,"corporation":false,"usgs":true,"family":"Michaelsen","given":"J.","affiliations":[],"preferred":false,"id":565385,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173768,"text":"70173768 - 2016 - Fish assemblage shifts in the Powder River of Wyoming: an unregulated prairie river system previously considered to be relatively pristine.","interactions":[],"lastModifiedDate":"2016-06-09T14:22:50","indexId":"70173768","displayToPublicDate":"2015-12-23T17:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Fish assemblage shifts in the Powder River of Wyoming: an unregulated prairie river system previously considered to be relatively pristine.","docAbstract":"<p><span class=\"ff1 fs6\"><span class=\"current-selection\">W</span><span class=\"current-selection\">y</span><span class=\"current-selection\">oming</span><span class=\"ff5\"><span class=\"current-selection\">&rsquo;</span><span class=\"ff1\"><span class=\"current-selection\">s</span> <span class=\"current-selection\">P</span><span class=\"current-selection\">owder</span> <span class=\"current-selection\">River</span> <span class=\"current-selection\">is</span> <span class=\"current-selection\">considered</span> <span class=\"current-selection\">an</span> <span class=\"current-selection\">example</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">a</span> <span class=\"current-selection\">pristine</span> <span class=\"current-selection\">prairie</span> <span class=\"current-selection\">river</span> <span class=\"current-selection\">system.</span> <span class=\"current-selection\">While </span></span></span></span><span class=\"current-selection\">the</span> <span class=\"current-selection\">river</span> <span class=\"current-selection\">hosts</span> <span class=\"current-selection\">a</span> <span class=\"current-selection\">largely</span> <span class=\"current-selection\">native</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">assemblage</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">remains</span> <span class=\"current-selection\">unimpounded</span> <span class=\"current-selection\">over</span> <span class=\"current-selection\">its</span> <span class=\"current-selection\">1,146-km</span> <span class=\"current-selection\">course</span> <span class=\"current-selection\">to</span> <span class=\"current-selection\">the </span><span class=\"current-selection\">Y</span><span class=\"current-selection\">ellowstone</span> <span class=\"current-selection\">River</span> <span class=\"current-selection\">confluence,</span> <span class=\"current-selection\">the</span> <span class=\"current-selection\">hydrologic</span> <span class=\"current-selection\">regime</span> <span class=\"current-selection\">has</span> <span class=\"current-selection\">been</span> <span class=\"current-selection\">altered</span> <span class=\"current-selection\">through</span> <span class=\"current-selection\">w</span><span class=\"current-selection\">ater</span> <span class=\"current-selection\">dive</span><span class=\"current-selection\">rsion</span> <span class=\"current-selection\">for </span><span class=\"current-selection\">agriculture</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">natural</span> <span class=\"current-selection\">gas</span> <span class=\"current-selection\">extraction</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">there</span> <span class=\"current-selection\">has</span> <span class=\"current-selection\">been</span> <span class=\"current-selection\">limited</span> <span class=\"current-selection\">study</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">assemblage</span> <span class=\"current-selection\">structure.</span> <span class=\"current-selection\">W</span><span class=\"current-selection\">e </span><span class=\"current-selection\">analyzed</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">data</span> <span class=\"current-selection\">collected</span> <span class=\"current-selection\">from</span> <span class=\"current-selection\">the</span> <span class=\"current-selection\">mainstem</span> <span class=\"current-selection\">P</span><span class=\"current-selection\">owder</span> <span class=\"current-selection\">River</span> <span class=\"current-selection\">in</span> <span class=\"current-selection\">W</span><span class=\"current-selection\">yoming</span> <span class=\"current-selection\">between</span> <span class=\"current-selection\">1896</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">2008.</span> <span class=\"current-selection\">Shifts </span><span class=\"current-selection\">in</span> <span class=\"current-selection\">presence/absence</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">relative</span> <span class=\"current-selection\">abundance</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">species,</span> <span class=\"current-selection\">as</span> <span class=\"current-selection\">well</span> <span class=\"current-selection\">as</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">assemblage</span> <span class=\"current-selection\">composition,</span> <span class=\"current-selection\">were </span><span class=\"current-selection\">assessed</span> <span class=\"current-selection\">among</span> <span class=\"current-selection\">historical</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">recent</span> <span class=\"current-selection\">samples.</span> <span class=\"current-selection\">The</span> <span class=\"current-selection\">recent</span> <span class=\"current-selection\">P</span><span class=\"current-selection\">owder</span> <span class=\"current-selection\">Rive</span><span class=\"current-selection\">r</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">assemblage</span> <span class=\"current-selection\">w</span><span class=\"current-selection\">as</span> <span class=\"current-selection\">characterized </span><span class=\"current-selection\">by</span> <span class=\"current-selection\">increased</span> <span class=\"current-selection\">relative</span> <span class=\"current-selection\">abundances</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">sand</span> <span class=\"current-selection\">shiner</span> <span class=\"ff3\"><span class=\"current-selection\">Notr</span><span class=\"current-selection\">opis</span> <span class=\"current-selection\">stramineus</span> <span class=\"ff1\"><span class=\"current-selection\">and</span> <span class=\"current-selection\">plains</span> <span class=\"current-selection\">killifish</span> </span><span class=\"current-selection\">Fundulus</span> <span class=\"current-selection\">zebrinus</span><span class=\"ff1 current-selection\">, </span></span><span class=\"current-selection\">and</span> <span class=\"current-selection\">decreases</span> <span class=\"current-selection\">in</span> <span class=\"current-selection\">sturgeon</span> <span class=\"current-selection\">chub</span> <span class=\"ff3\"><span class=\"current-selection\">Macrhybopsis</span> <span class=\"current-selection\">gelida</span></span><span class=\"current-selection\">.</span> <span class=\"current-selection\">Shifts</span> <span class=\"current-selection\">in</span> <span class=\"current-selection\">fish</span> <span class=\"current-selection\">species</span> <span class=\"current-selection\">relative</span> <span class=\"current-selection\">abundance</span> <span class=\"current-selection\">are</span> <span class=\"current-selection\">linked</span> <span class=\"current-selection\">to </span><span class=\"current-selection\">their</span> <span class=\"current-selection\">reproductive</span> <span class=\"current-selection\">ecology</span> <span class=\"current-selection\">with</span> <span class=\"current-selection\">species</span> <span class=\"current-selection\">with</span> <span class=\"current-selection\">adhesive</span> <span class=\"current-selection\">eggs</span> <span class=\"current-selection\">generally</span> <span class=\"current-selection\">increasing</span> <span class=\"current-selection\">in</span> <span class=\"current-selection\">relative</span> <span class=\"current-selection\">abundance </span><span class=\"current-selection\">while</span> <span class=\"current-selection\">those</span> <span class=\"current-selection\">with</span> <span class=\"current-selection\">buoy</span><span class=\"current-selection\">ant</span> <span class=\"current-selection\">drifting</span> <span class=\"current-selection\">eggs</span> <span class=\"current-selection\">are</span> <span class=\"current-selection\">decreasing.</span> <span class=\"current-selection\">Assemblage</span> <span class=\"current-selection\">shifts</span> <span class=\"current-selection\">could</span> <span class=\"current-selection\">be</span> <span class=\"current-selection\">the</span> <span class=\"current-selection\">result</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">landscape </span><span class=\"current-selection\">level</span> <span class=\"current-selection\">changes,</span> <span class=\"current-selection\">such</span> <span class=\"current-selection\">as</span> <span class=\"current-selection\">the</span> <span class=\"current-selection\">loss</span> <span class=\"current-selection\">of</span> <span class=\"current-selection\">extreme</span> <span class=\"current-selection\">high</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">low</span> <span class=\"current-selection\">flow</span> <span class=\"current-selection\">events</span> <span class=\"current-selection\">and</span> <span class=\"current-selection\">changing</span> <span class=\"current-selection\">land</span> <span class=\"current-selection\">use</span> <span class=\"current-selection\">practices.</span></p>","language":"English","publisher":"Wiley","doi":"10.1890/ES14-00361.1","usgsCitation":"Senecal, A.C., Walters, A.W., and Hubert, W.A., 2016, Fish assemblage shifts in the Powder River of Wyoming: an unregulated prairie river system previously considered to be relatively pristine.: Ecosphere, v. 6, no. 12, p. 1-13, https://doi.org/10.1890/ES14-00361.1.","productDescription":"13 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055924","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471397,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00361.1","text":"Publisher Index Page"},{"id":323391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Powder River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.47973632812499,\n              46.7774927637683\n            ],\n            [\n              -108.30322265624999,\n              42.771211138625894\n            ],\n            [\n              -106.578369140625,\n              41.75492216766298\n            ],\n            [\n              -104.293212890625,\n              46.29381556233369\n            ],\n            [\n              -105.47973632812499,\n              46.7774927637683\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-21","publicationStatus":"PW","scienceBaseUri":"575a9332e4b04f417c27514c","contributors":{"authors":[{"text":"Senecal, Anna C.","contributorId":171649,"corporation":false,"usgs":false,"family":"Senecal","given":"Anna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubert, Wayne A.","contributorId":9325,"corporation":false,"usgs":true,"family":"Hubert","given":"Wayne","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638235,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160610,"text":"70160610 - 2016 - In-flight turbulence benefits soaring birds","interactions":[],"lastModifiedDate":"2017-11-22T17:29:16","indexId":"70160610","displayToPublicDate":"2015-12-23T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"In-flight turbulence benefits soaring birds","docAbstract":"<p><span>Birds use atmospheric updrafts to subsidize soaring flight. We observed highly variable soaring flight by Black Vultures (</span><i><i>Coragyps atratus</i></i><span>) and Turkey Vultures (</span><i><i>Cathartes aura</i></i><span>) in Virginia, USA, that was inconsistent with published descriptions of terrestrial avian flight. Birds engaging in this behavior regularly deviated vertically and horizontally from linear flight paths. We observed the soaring flight behavior of these 2 species to understand why they soar in this manner and when this behavior occurs. Vultures used this type of soaring mainly at low altitudes (&lt;50 m), along forest edges, and when conditions were poor for thermal development. Because of the tortuous nature of this flight, we describe it as “contorted soaring.” The primary air movement suitable to subsidize flight at this altitude and under these atmospheric conditions is small-scale, shear-induced turbulence, which our results suggest can be an important resource for soaring birds because it permits continuous subsidized flight when other types of updraft are not available.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-15-114.1","usgsCitation":"Mallon, J.M., Bildstein, K.L., and Katzner, T., 2016, In-flight turbulence benefits soaring birds: The Auk, v. 133, no. 1, p. 79-85, https://doi.org/10.1642/AUK-15-114.1.","productDescription":"7 p.","startPage":"79","endPage":"85","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066494","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471398,"rank":0,"type":{"id":40,"text":"Open 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University","active":true,"usgs":false}],"preferred":false,"id":583323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bildstein, Keith L.","contributorId":150854,"corporation":false,"usgs":false,"family":"Bildstein","given":"Keith","email":"","middleInitial":"L.","affiliations":[{"id":18119,"text":"Hawk Mountain Sanctuary, Acopian Center for Conservation Learning","active":true,"usgs":false}],"preferred":false,"id":583324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":583322,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160611,"text":"70160611 - 2016 - Ontogenetic dynamics of infection with <i>Diphyllobothrium</i> spp. cestodes in sympatric Arctic charr <i>Salvelinus alpinus</i> (L.) and brown trout <i>Salmo trutta</i> L.","interactions":[],"lastModifiedDate":"2016-12-14T12:44:18","indexId":"70160611","displayToPublicDate":"2015-12-23T09:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Ontogenetic dynamics of infection with <i>Diphyllobothrium</i> spp. cestodes in sympatric Arctic charr <i>Salvelinus alpinus</i> (L.) and brown trout <i>Salmo trutta</i> L.","docAbstract":"<p>The trophic niches of Arctic charr and brown trout differ when the species occur in sympatry. Their trophically transmitted parasites are expected to reflect these differences. Here, we investigate how the infections of <i>Diphyllobothrium dendriticum</i> and <i>D. ditremum</i> differ between charr and trout. These tapeworms use copepods as their first intermediate hosts and fish can become infected as second intermediate hosts by consuming either infected copepods or infected fish. We examined 767 charr and 368 trout for <i>Diphyllobothrium</i> plerocercoids in a subarctic lake. The prevalence of <i>D. ditremum</i> was higher in charr (61.5%) than in trout, (39.5%), but the prevalence of <i>D. dendriticum</i> was higher in trout (31.2%) than in charr (19.3%).<i> Diphyllobothrium</i> spp. intensities were elevated in trout compared to charr, particularly for<i> D. dendriticum</i>. Large fish with massive parasite burdens were responsible for the high <i>Diphyllobothrium</i> spp. loads in trout. We hypothesize that fish prey may be the most important source for the<i> Diphyllobothrium</i> spp. infections in trout, whereas charr predominantly acquire <i>Diphyllobothrium</i> spp. by feeding on copepods. Our findings support previous suggestions that the ability to establish in a second piscine host is greater for <i>D. dendriticum</i> than for <i>D. ditremum</i>.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-015-2589-2","usgsCitation":"Henrickson, E.H., Knudsen, R., Kristoffersen, R., Kuris, A.M., Lafferty, K.D., Siwertsson, A., and Amundsen, P., 2016, Ontogenetic dynamics of infection with <i>Diphyllobothrium</i> spp. cestodes in sympatric Arctic charr <i>Salvelinus alpinus</i> (L.) and brown trout <i>Salmo trutta</i> L.: Hydrobiologia, v. 783, no. 1, p. 37-46, https://doi.org/10.1007/s10750-015-2589-2.","productDescription":"10 p.","startPage":"37","endPage":"46","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070338","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471399,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10037/11754","text":"External Repository"},{"id":312865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Norway","otherGeospatial":"Lake Tavatn","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              19.05303955078125,\n              69.13799676013798\n            ],\n            [\n              19.007034301757812,\n              69.1299258749831\n            ],\n            [\n              18.996047973632812,\n              69.12013898454494\n            ],\n            [\n              19.079132080078125,\n              69.10042957520623\n            ],\n            [\n              19.137496948242188,\n              69.08707585015826\n            ],\n            [\n              19.16187286376953,\n              69.0924673253434\n            ],\n            [\n              19.162216186523438,\n              69.10826649878364\n            ],\n            [\n              19.127883911132812,\n              69.12136258558824\n            ],\n            [\n              19.091835021972656,\n              69.1197718908733\n            ],\n            [\n              19.042396545410156,\n              69.12955894569693\n            ],\n            [\n              19.05406951904297,\n              69.13261650143306\n            ],\n            [\n              19.05303955078125,\n              69.13799676013798\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"783","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-23","publicationStatus":"PW","scienceBaseUri":"56826b46e4b0a04ef4925b8d","contributors":{"authors":[{"text":"Henrickson, Eirik H.","contributorId":150855,"corporation":false,"usgs":false,"family":"Henrickson","given":"Eirik","email":"","middleInitial":"H.","affiliations":[{"id":18120,"text":"UiT The Arctic University of Norway","active":true,"usgs":false}],"preferred":false,"id":583326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knudsen, Rune","contributorId":18686,"corporation":false,"usgs":true,"family":"Knudsen","given":"Rune","affiliations":[],"preferred":false,"id":583327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kristoffersen, Roar","contributorId":11519,"corporation":false,"usgs":true,"family":"Kristoffersen","given":"Roar","affiliations":[],"preferred":false,"id":583328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuris, Armand M.","contributorId":54332,"corporation":false,"usgs":true,"family":"Kuris","given":"Armand","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":583329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":583325,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Siwertsson, Anna","contributorId":150856,"corporation":false,"usgs":false,"family":"Siwertsson","given":"Anna","email":"","affiliations":[{"id":18120,"text":"UiT The Arctic University of Norway","active":true,"usgs":false}],"preferred":false,"id":583330,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amundsen, Per-Arne","contributorId":83448,"corporation":false,"usgs":true,"family":"Amundsen","given":"Per-Arne","affiliations":[],"preferred":false,"id":583331,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70160346,"text":"70160346 - 2016 - Oil slick morphology derived from AVIRIS measurements of the Deepwater Horizon oil spill: Implications for spatial resolution requirements of remote sensors","interactions":[],"lastModifiedDate":"2016-12-14T12:39:17","indexId":"70160346","displayToPublicDate":"2015-12-22T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Oil slick morphology derived from AVIRIS measurements of the Deepwater Horizon oil spill: Implications for spatial resolution requirements of remote sensors","docAbstract":"<p>Using fine spatial resolution (~ 7.6 m) hyperspectral AVIRIS data collected over the <i>Deepwater Horizon</i> oil spill in the Gulf of Mexico, we statistically estimated slick lengths, widths and length/width ratios to characterize oil slick morphology for different thickness classes. For all AVIRIS-detected oil slicks (N = 52,100 continuous features) binned into four thickness classes (&le; 50 &mu;m but thicker than sheen, 50&ndash;200 &mu;m, 200&ndash;1000 &mu;m, and &gt; 1000 &mu;m), the median lengths, widths, and length/width ratios of these classes ranged between 22 and 38 m, 7&ndash;11 m, and 2.5&ndash;3.3, respectively. The AVIRIS data were further aggregated to 30-m (Landsat resolution) and 300-m (MERIS resolution) spatial bins to determine the fractional oil coverage in each bin. Overall, if 50% fractional pixel coverage were to be required to detect oil with thickness greater than sheen for most oil containing pixels, a 30-m resolution sensor would be needed.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2015.12.003","usgsCitation":"Sun, S., Hu, C., Feng, L., Swayze, G.A., Holmes, J., Graettinger, G., MacDonald, I.R., Garcia, O., and Leifer, I., 2016, Oil slick morphology derived from AVIRIS measurements of the Deepwater Horizon oil spill: Implications for spatial resolution requirements of remote sensors: Marine Pollution Bulletin, v. 103, no. 1-2, p. 276-285, https://doi.org/10.1016/j.marpolbul.2015.12.003.","productDescription":"10 p.","startPage":"276","endPage":"285","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061904","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science 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Shaojie","contributorId":150679,"corporation":false,"usgs":false,"family":"Sun","given":"Shaojie","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":582642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hu, Chuanmin","contributorId":24696,"corporation":false,"usgs":true,"family":"Hu","given":"Chuanmin","affiliations":[],"preferred":false,"id":582643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, Lian","contributorId":150680,"corporation":false,"usgs":false,"family":"Feng","given":"Lian","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":582644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 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,{"id":70175211,"text":"70175211 - 2016 - Metabolic and physiochemical responses to a whole-lake experimental increase in dissolved organic carbon in a north-temperate lake","interactions":[],"lastModifiedDate":"2016-08-02T15:45:39","indexId":"70175211","displayToPublicDate":"2015-12-21T16:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Metabolic and physiochemical responses to a whole-lake experimental increase in dissolved organic carbon in a north-temperate lake","docAbstract":"<p><span>Over the last several decades, many lakes globally have increased in dissolved organic carbon (DOC), calling into question how lake functions may respond to increasing DOC. Unfortunately, our basis for making predictions is limited to spatial surveys, modeling, and laboratory experiments, which may not accurately capture important whole-ecosystem processes. In this article, we present data on metabolic and physiochemical responses of a multiyear experimental whole-lake increase in DOC concentration. Unexpectedly, we observed an increase in pelagic gross primary production, likely due to a small increase in phosphorus as well as a surprising lack of change in epilimnetic light climate. We also speculate on the importance of lake size modifying the relationship between light climate and elevated DOC. A larger increase in ecosystem respiration resulted in an increased heterotrophy for the treatment basin. The magnitude of the increase in heterotrophy was extremely close to the excess DOC load to the treatment basin, indicating that changes in heterotrophy may be predictable if allochthonous carbon loads are well-constrained. Elevated DOC concentration also reduced thermocline and mixed layer depth and reduced whole-lake temperature. Results from this experiment were quantitatively different, and sometimes even in the opposite direction, from expectations based on cross-system surveys and bottle experiments, emphasizing the importance of whole-ecosystem experiments in understanding ecosystem response to environmental change.</span></p>","language":"English","publisher":"American Society of Limnology and Oceanography","publisherLocation":"Waco, TX","doi":"10.1002/lno.10248","usgsCitation":"Zwart, J., Craig, N., Kelly, P., Sebestyen, S.D., Solomon, C.T., Weidel, B., and Jones, S., 2016, Metabolic and physiochemical responses to a whole-lake experimental increase in dissolved organic carbon in a north-temperate lake: Limnology and Oceanography, v. 61, no. 2, p. 723-734, https://doi.org/10.1002/lno.10248.","startPage":"723","endPage":"734","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068470","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":471400,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://figshare.com/articles/journal_contribution/Metabolic_and_physiochemical_responses_to_a_whole-lake_experimental_increase_in_dissolved_organic_carbon_in_a_north-temperate_lake/24733230","text":"Publisher Index Page"},{"id":325984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-21","publicationStatus":"PW","scienceBaseUri":"57a1c430e4b006cb45552c2b","contributors":{"authors":[{"text":"Zwart, Jacob A.","contributorId":173345,"corporation":false,"usgs":false,"family":"Zwart","given":"Jacob A.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":644342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Craig, Nicola","contributorId":150803,"corporation":false,"usgs":false,"family":"Craig","given":"Nicola","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":644343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Patrick T.","contributorId":69059,"corporation":false,"usgs":true,"family":"Kelly","given":"Patrick T.","affiliations":[],"preferred":false,"id":644344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sebestyen, Stephen D.","contributorId":107562,"corporation":false,"usgs":true,"family":"Sebestyen","given":"Stephen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":644347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solomon, Christopher T.","contributorId":34014,"corporation":false,"usgs":false,"family":"Solomon","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":644345,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644341,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Stuart E.","contributorId":22222,"corporation":false,"usgs":false,"family":"Jones","given":"Stuart E.","affiliations":[{"id":6966,"text":"Department of Biological Sciences, University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":644346,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70156787,"text":"70156787 - 2016 - Multi-scale predictions of massive conifer mortality due to chronic temperature rise","interactions":[],"lastModifiedDate":"2018-01-12T15:44:21","indexId":"70156787","displayToPublicDate":"2015-12-21T16:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale predictions of massive conifer mortality due to chronic temperature rise","docAbstract":"<p>Global temperature rise and extremes accompanying drought threaten forests<font size=\"1\">&nbsp;</font>and their associated climatic feedbacks. Our&nbsp;ability to accurately simulate drought-induced forest impacts remains highly uncertain&nbsp;in part owing to our failure to integrate physiological measurements, regional-scale models, and dynamic global vegetation models (DGVMs). Here we show consistent predictions of widespread mortality of needleleaf evergreen trees (NET) within Southwest USA by 2100 using state-of-the-art models evaluated against empirical data sets. Experimentally, dominant Southwest USA NET species died when they fell below predawn water potential (<i><span class=\"mb\">Ψ</span></i><sub>pd</sub>) thresholds (April–August mean) beyond which photosynthesis, hydraulic and stomatal conductance, and carbohydrate availability approached zero. The evaluated regional models accurately predicted NET <i><span class=\"mb\">Ψ</span></i><sub>pd</sub>, and 91% of predictions (10 out of 11) exceeded mortality thresholds within the twenty-first century due to temperature rise. The independent DGVMs predicted ≥50% loss of Northern Hemisphere NET by 2100, consistent with the NET findings for Southwest USA. Notably, the global models underestimated future mortality within Southwest USA, highlighting that predictions of future mortality within global models may be underestimates. Taken together, the validated regional predictions and the global simulations predict widespread conifer loss in coming decades under projected global warming.</p>","language":"English","publisher":"Nature Publishing Group","publisherLocation":"London, UK","doi":"10.1038/nclimate2873","usgsCitation":"McDowell, N., Williams, A., Xu, C., Pockman, W., Dickman, L., Sevanto, S., Pangle, R., Limousin, J., Plaut, J., Mackay, D., Ogee, J., Domec, J., Allen, C.D., Fisher, R.A., Jiang, X., Muss, J., Breshears, D., Rauscher, S.A., and Koven, C., 2016, Multi-scale predictions of massive conifer mortality due to chronic temperature rise: Nature Climate Change, v. 6, p. 295-300, https://doi.org/10.1038/nclimate2873.","productDescription":"6 p.","startPage":"295","endPage":"300","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058464","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471401,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1492529","text":"External Repository"},{"id":312936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-21","publicationStatus":"PW","scienceBaseUri":"56826b46e4b0a04ef4925b86","contributors":{"authors":[{"text":"McDowell, Nathan G.","contributorId":9176,"corporation":false,"usgs":true,"family":"McDowell","given":"Nathan G.","affiliations":[],"preferred":false,"id":583294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, A.P.","contributorId":70226,"corporation":false,"usgs":true,"family":"Williams","given":"A.P.","email":"","affiliations":[],"preferred":false,"id":583295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, C.","contributorId":9781,"corporation":false,"usgs":true,"family":"Xu","given":"C.","email":"","affiliations":[],"preferred":false,"id":583296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pockman, W. T.","contributorId":57260,"corporation":false,"usgs":false,"family":"Pockman","given":"W. T.","affiliations":[{"id":7164,"text":"Department of Biology, University of New Mexico, Albuquerque, NM 87131 USA","active":true,"usgs":false}],"preferred":false,"id":583297,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dickman, L. T.","contributorId":150844,"corporation":false,"usgs":false,"family":"Dickman","given":"L. T.","affiliations":[],"preferred":false,"id":583298,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sevanto, Sanna","contributorId":150845,"corporation":false,"usgs":false,"family":"Sevanto","given":"Sanna","email":"","affiliations":[],"preferred":false,"id":583299,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pangle, R.","contributorId":150846,"corporation":false,"usgs":false,"family":"Pangle","given":"R.","email":"","affiliations":[],"preferred":false,"id":583300,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Limousin, J.","contributorId":150892,"corporation":false,"usgs":false,"family":"Limousin","given":"J.","affiliations":[],"preferred":false,"id":583491,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Plaut, J.J.","contributorId":6982,"corporation":false,"usgs":true,"family":"Plaut","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":583302,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mackay, D.S.","contributorId":150893,"corporation":false,"usgs":false,"family":"Mackay","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":583492,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ogee, J.","contributorId":150847,"corporation":false,"usgs":false,"family":"Ogee","given":"J.","affiliations":[],"preferred":false,"id":583301,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Domec, Jean-Christophe","contributorId":146460,"corporation":false,"usgs":false,"family":"Domec","given":"Jean-Christophe","email":"","affiliations":[],"preferred":false,"id":583305,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":570546,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fisher, Rosie A.","contributorId":147090,"corporation":false,"usgs":false,"family":"Fisher","given":"Rosie","email":"","middleInitial":"A.","affiliations":[{"id":16785,"text":"National Center for Atmospheric Research, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":583306,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jiang, X.","contributorId":150848,"corporation":false,"usgs":false,"family":"Jiang","given":"X.","email":"","affiliations":[],"preferred":false,"id":583307,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Muss, J.D.","contributorId":31954,"corporation":false,"usgs":true,"family":"Muss","given":"J.D.","affiliations":[],"preferred":false,"id":583308,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Breshears, D.D.","contributorId":17952,"corporation":false,"usgs":false,"family":"Breshears","given":"D.D.","email":"","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":583309,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Rauscher, Sara A.","contributorId":47653,"corporation":false,"usgs":true,"family":"Rauscher","given":"Sara","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":583310,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Koven, C.","contributorId":39655,"corporation":false,"usgs":true,"family":"Koven","given":"C.","email":"","affiliations":[],"preferred":false,"id":583311,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70164513,"text":"70164513 - 2016 - Upper Maastrichtian ammonite biostratigraphy of the Gulf Coastal Plain (Mississippi Embayment, southern USA)","interactions":[],"lastModifiedDate":"2016-02-09T12:38:38","indexId":"70164513","displayToPublicDate":"2015-12-21T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1344,"text":"Cretaceous Research","active":true,"publicationSubtype":{"id":10}},"title":"Upper Maastrichtian ammonite biostratigraphy of the Gulf Coastal Plain (Mississippi Embayment, southern USA)","docAbstract":"<p><span>The Cretaceous outcrop belt of the Mississippi Embayment in the Gulf Coastal Plain (GCP) spans the Cretaceous/Paleogene (K/Pg) boundary. A detailed reconstruction of this time interval is critical for understanding the nature of biotic and environmental changes preceding the end-Cretaceous Mass Extinction event and for deciphering the likely extinction mechanism (i.e., bolide impact versus volcanism). Eight sections encompassing the K/Pg succession across the Mississippi Embayment were analyzed using biostratigraphic sampling of ammonites, dinoflagellates, and nannofossils. An upper Maastrichtian ammonite zonation is proposed as follows, from oldest to youngest:</span><i>Discoscaphites conradi</i><span>&nbsp;Zone,&nbsp;</span><i>D.&nbsp;minardi</i><span>&nbsp;Zone, and&nbsp;</span><i>D.&nbsp;iris</i><span>&nbsp;Zone. Our study documents that the ammonite zonation established in the Atlantic Coastal Plain (ACP) extends to the GCP. This zonation is integrated with nannofossil and dinoflagellate biostratigraphy to provide a framework to more accurately determine the age relationships in this region. We demonstrate that ammonites and dinoflagellates are more reliable stratigraphic indicators in this area than nannofossils because age-diagnostic nannofossils are not consistently present within the upper Maastrichtian in the GCP. This biostratigraphic framework has the potential to become a useful tool for correlation of strata both within the GCP and between the GCP, Western Interior, and ACP. The presence of the uppermost Maastrichtian ammonite&nbsp;</span><i>D.&nbsp;iris</i><span>, calcareous nannofossil&nbsp;</span><i>Micula prinsii</i><span>, and dinoflagellates&nbsp;</span><i>Palynodinium grallator</i><span>&nbsp;and&nbsp;</span><i>Disphaerogena carposphaeropsis</i><span>&nbsp;suggests that the K/Pg succession in the GCP is nearly complete. Consequently, the GCP is an excellent setting for investigating fine scale temporal changes across the K/Pg boundary and ultimately elucidating the mechanisms causing extinction.</span></p>","language":"English","publisher":"Academic Press","doi":"10.1016/j.cretres.2015.11.010","usgsCitation":"Larina, E., Garb, M., Landman, N.H., Dastas, N., Thibault, N., Edwards, L.E., Phillips, G., Rovelli, R., Myers, C., and Naujokaityte, J., 2016, Upper Maastrichtian ammonite biostratigraphy of the Gulf Coastal Plain (Mississippi Embayment, southern USA): Cretaceous Research, v. 60, p. 128-151, https://doi.org/10.1016/j.cretres.2015.11.010.","productDescription":"24 p.","startPage":"128","endPage":"151","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070686","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science 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H.","contributorId":95779,"corporation":false,"usgs":true,"family":"Landman","given":"Neil","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":597691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dastas, Natalie","contributorId":156371,"corporation":false,"usgs":false,"family":"Dastas","given":"Natalie","email":"","affiliations":[{"id":20331,"text":"Brooklyn College","active":true,"usgs":false}],"preferred":false,"id":597692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thibault, Nicolas","contributorId":156372,"corporation":false,"usgs":false,"family":"Thibault","given":"Nicolas","email":"","affiliations":[{"id":12672,"text":"University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":597693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 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,{"id":70160659,"text":"70160659 - 2016 - Soil amplification with a strong impedance contrast: Boston, Massachusetts","interactions":[],"lastModifiedDate":"2016-06-13T10:49:56","indexId":"70160659","displayToPublicDate":"2015-12-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Soil amplification with a strong impedance contrast: Boston, Massachusetts","docAbstract":"<p><span>In this study, we evaluate the effect of strong sediment/bedrock impedance contrasts on soil amplification in Boston, Massachusetts, for typical sites along the Charles and Mystic Rivers. These sites can be characterized by artificial fill overlying marine sediments overlying glacial till and bedrock, where the depth to bedrock ranges from 20 to 80 m. The marine sediments generally consist of organic silts, sand, and Boston Blue Clay. We chose these sites because they represent typical foundation conditions in the city of Boston, and the soil conditions are similar to other high impedance contrast environments. The sediment/bedrock interface in this region results in an impedance ratio on the order of ten, which in turn results in a significant amplification of the ground motion. Using stratigraphic information derived from numerous boreholes across the region paired with geologic and geomorphologic constraints, we develop a depth-to-bedrock model for the greater Boston region. Using shear-wave velocity profiles from 30 locations, we develop average velocity profiles for sites mapped as artificial fill, glaciofluvial deposits, and bedrock. By pairing the depth-to-bedrock model with the surficial geology and the average shear-wave velocity profiles, we can predict soil amplification in Boston. We compare linear and equivalent-linear site response predictions for a soil layer of varying thickness over bedrock, and assess the effects of varying the bedrock shear-wave velocity (V</span><sub>Sb</sub><span>) and quality factor (Q). In a moderate seismicity region like Boston, many earthquakes will result in ground motions that can be modeled with linear site response methods. We also assess the effect of bedrock depth on soil amplification for a generic soil profile in artificial fill, using both linear and equivalent-linear site response models. Finally, we assess the accuracy of the model results by comparing the predicted (linear site response) and observed site response at the Northeastern University (NEU) vertical seismometer array during the 2011 M 5.8 Mineral, Virginia, earthquake. Site response at the NEU vertical array results in amplification on the order of 10 times at a period between 0.7-0.8 s. The results from this study provide evidence that the mean short-period and mean intermediate-period amplification used in design codes (i.e., from the F</span><sub>a</sub><span>&nbsp;and F</span><sub>v</sub><span>&nbsp;site coefficients) may underpredict soil amplification in strong impedance contrast environments such as Boston.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2015.12.016","usgsCitation":"Baise, L.G., Kaklamanos, J., Berry, B.M., and Thompson, E.M., 2016, Soil amplification with a strong impedance contrast: Boston, Massachusetts: Engineering Geology, v. 202, 13 p., https://doi.org/10.1016/j.enggeo.2015.12.016.","productDescription":"13 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071386","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":471402,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2015.12.016","text":"Publisher Index Page"},{"id":313151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Boston","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.03193283081055,\n              42.38644427600168\n            ],\n            [\n              -71.14574432373045,\n              42.43828063778991\n            ],\n            [\n              -71.1665153503418,\n              42.42561066758352\n            ],\n            [\n              -71.18385314941406,\n              42.36666166373274\n            ],\n            [\n              -71.1697769165039,\n              42.345984712768576\n            ],\n            [\n              -71.06986999511719,\n              42.3477609142747\n            ],\n            [\n              -71.03382110595703,\n              42.3853031408436\n            ],\n            [\n              -71.03193283081055,\n              42.38644427600168\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"202","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56865fc9e4b0e7594ee74cd5","chorus":{"doi":"10.1016/j.enggeo.2015.12.016","url":"http://dx.doi.org/10.1016/j.enggeo.2015.12.016","publisher":"Elsevier BV","authors":"Baise Laurie G., Kaklamanos James, Berry Bradford M., Thompson Eric M.","journalName":"Engineering Geology","publicationDate":"3/2016"},"contributors":{"authors":[{"text":"Baise, Laurie G.","contributorId":127395,"corporation":false,"usgs":false,"family":"Baise","given":"Laurie","email":"","middleInitial":"G.","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":583496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaklamanos, James","contributorId":35053,"corporation":false,"usgs":true,"family":"Kaklamanos","given":"James","affiliations":[],"preferred":false,"id":583497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berry, Bradford M","contributorId":150894,"corporation":false,"usgs":false,"family":"Berry","given":"Bradford","email":"","middleInitial":"M","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":583498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":146592,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":583495,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160356,"text":"70160356 - 2016 - A guide for establishing restoration goals for contaminated ecosystems","interactions":[],"lastModifiedDate":"2016-12-14T12:40:08","indexId":"70160356","displayToPublicDate":"2015-12-18T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"A guide for establishing restoration goals for contaminated ecosystems","docAbstract":"<p>As natural resources become increasingly limited, the value of restoring contaminated sites, both terrestrial and aquatic, becomes increasingly apparent. Traditionally, goals for remediation have been set before any consideration of goals for ecological restoration. The goals for remediation have focused on removing or limiting contamination whereas restoration goals have targeted the ultimate end use. Here, we present a framework for developing a comprehensive set of achievable goals for ecological restoration of contaminated sites to be used in concert with determining goals for remediation. This framework was developed during a Society of Environmental Toxicology and Chemistry (SETAC) and Society of Ecological Restoration (SER) cosponsored workshop that brought together experts from multiple countries. Although most members were from North America, this framework is designed for use internationally. We discuss the integration of establishing goals for both contaminant remediation and overall restoration, and the need to include both the restoration of ecological and socio-cultural-economic value in the context of contaminated sites. Although recognizing that in some countries there may be regulatory issues associated with contaminants and clean up, landscape setting and social drivers can inform the restoration goals. We provide a decision tree support tool to guide the establishment of restoration goals for contaminated ecosystems. The overall intent of this decision tree is to provide a framework for goal setting and to identify outcomes achievable given the contamination present at a site.</p>","language":"English","publisher":"SETAC","publisherLocation":"Pensacola, FL","doi":"10.1002/ieam.1709","usgsCitation":"Wagner, A.M., Larson, D.L., DalSoglio, J.A., Harris, J.A., Labus, P., Rosi-Marshall, E.J., and Skarbis, K.E., 2016, A guide for establishing restoration goals for contaminated ecosystems: Integrated Environmental Assessment and Management, v. 12, no. 2, p. 264-272, https://doi.org/10.1002/ieam.1709.","productDescription":"9 p.","startPage":"264","endPage":"272","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062120","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471403,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.1709","text":"Publisher Index Page"},{"id":312546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"56752e2de4b0da412f4f8bb5","contributors":{"authors":[{"text":"Wagner, Anne M.","contributorId":150713,"corporation":false,"usgs":false,"family":"Wagner","given":"Anne","email":"","middleInitial":"M.","affiliations":[{"id":18075,"text":"Chevron Energy Technology Company","active":true,"usgs":false}],"preferred":false,"id":582739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":582738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DalSoglio, Julie A.","contributorId":150714,"corporation":false,"usgs":false,"family":"DalSoglio","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":582740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, James A.","contributorId":150715,"corporation":false,"usgs":false,"family":"Harris","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":18076,"text":"Cranfield University, Bedfordshire, U.K","active":true,"usgs":false}],"preferred":false,"id":582741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Labus, Paul","contributorId":35266,"corporation":false,"usgs":true,"family":"Labus","given":"Paul","email":"","affiliations":[],"preferred":false,"id":582742,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosi-Marshall, Emma J.","contributorId":17722,"corporation":false,"usgs":true,"family":"Rosi-Marshall","given":"Emma","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":582743,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skarbis, Krisin E.","contributorId":150716,"corporation":false,"usgs":false,"family":"Skarbis","given":"Krisin","email":"","middleInitial":"E.","affiliations":[{"id":7188,"text":"Cary Institute of Ecosystem Studies, Millbrook, NY, USA","active":true,"usgs":false}],"preferred":false,"id":582744,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70160330,"text":"70160330 - 2016 - Structure and spatial patterns of macrobenthic community in Tai Lake, a large shallow lake, China","interactions":[],"lastModifiedDate":"2015-12-17T14:23:38","indexId":"70160330","displayToPublicDate":"2015-12-17T15:15:00","publicationYear":"2016","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":"Structure and spatial patterns of macrobenthic community in Tai Lake, a large shallow lake, China","docAbstract":"<p><span>Tai Lake (Chinese:&nbsp;</span><i>Taihu</i><span>), the third-largest freshwater lake in China, suffers from harmful cyanobacteria blooms that are caused by economic development and population growth near the lake. Several studies have focused on phytoplankton in Tai Lake after a drinking water crisis in 2007; however, these studies primarily focused on microcystin bioaccumulation and toxicity to individual species without examining the effects of microcystin on macrobenthic community diversity. In this study, we conducted a survey of the lake to examine the effects of microcystine and other pollutants on marcobenthic community diversity. A totally of forty-nine species of macroinvertebrates were found in Tai Lake.&nbsp;</span><i>Limnodrilus hoffmeisteri</i><span>&nbsp;and&nbsp;</span><i>Corbicula fluminea</i><span>&nbsp;were the most abundant species. Cluster-analysis and one-way analysis of similarity (ANOSIM) identified three significantly different macrobenthic communities among the sample sites. More specifically, sites in the eastern bays, where aquatic macrophytes were abundant, had the highest diversity of macrobenthic communities, which were dominated by&nbsp;</span><i>Bellamya aeruginosa</i><span>,&nbsp;</span><i>Bellamya purificata</i><span>,&nbsp;</span><i>L. hoffmeisteri</i><span>, and&nbsp;</span><i>Alocinma longicornis</i><span>. Sites in Zhushan Bay contained relatively diverse communities, mainly composed of&nbsp;</span><i>L. hoffmeisteri</i><span>,&nbsp;</span><i>C. fluminea</i><span>,&nbsp;</span><i>L. claparederanus</i><span>,&nbsp;</span><i>R. sinicus</i><span>, and&nbsp;</span><i>Cythura</i><span>&nbsp;sp. Sites in the western region, Meiliang Bay and Wuli Bay had the lowest diversity, mainly composed of</span><i>L. hoffmeisteri</i><span>,&nbsp;</span><i>C. fluminea</i><span>,&nbsp;</span><i>Branchiura sowerbyi</i><span>, and&nbsp;</span><i>Rhyacodrilus sinicus</i><span>. In addition, the relationships between macrobenthic metrics (Shannon&ndash;Wiener, Margalef, and Pielou) and environmental variables showed that community structure and spatial patterns of macrobenthos in Tai Lake were significantly influenced by chemical oxygen demand (COD</span><sub>Cr</sub><span>), biochemical oxygen demand (BOD</span><sub>5</sub><span>), lead (Pb), and microcystin-LR (L for leucine and R for arginine). Our findings provide critical information that could help managers and policymakers assess and modify ecological restoration practices.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2015.08.043","usgsCitation":"Li, D., Erickson, R.A., Song Tang, Li, X., Niu, Z., Wang, X., Liu, H., and Yu, H., 2016, Structure and spatial patterns of macrobenthic community in Tai Lake, a large shallow lake, China: Ecological Indicators, v. 61, no. 2, p. 170-187, https://doi.org/10.1016/j.ecolind.2015.08.043.","productDescription":"18 p.","startPage":"170","endPage":"187","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062777","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":312468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Tai Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              119.89105224609375,\n              30.935212690426727\n            ],\n            [\n              119.89105224609375,\n              31.54460103811182\n            ],\n            [\n              120.59280395507812,\n              31.54460103811182\n            ],\n            [\n              120.59280395507812,\n              30.935212690426727\n            ],\n            [\n              119.89105224609375,\n              30.935212690426727\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"61","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5673dcb4e4b0da412f4f8201","contributors":{"authors":[{"text":"Li, Di","contributorId":150650,"corporation":false,"usgs":false,"family":"Li","given":"Di","email":"","affiliations":[{"id":18059,"text":"State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":582572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Song Tang","contributorId":150651,"corporation":false,"usgs":false,"family":"Song Tang","affiliations":[{"id":18060,"text":"School of Environment and Sustainability, University of Saskatchewan, Canada","active":true,"usgs":false}],"preferred":false,"id":582574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Xuwen","contributorId":150652,"corporation":false,"usgs":false,"family":"Li","given":"Xuwen","email":"","affiliations":[{"id":18061,"text":"Jiangsu Environmental Monitoring Center, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Niu, Zhichun","contributorId":150653,"corporation":false,"usgs":false,"family":"Niu","given":"Zhichun","email":"","affiliations":[{"id":18061,"text":"Jiangsu Environmental Monitoring Center, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Xia","contributorId":150654,"corporation":false,"usgs":false,"family":"Wang","given":"Xia","email":"","affiliations":[{"id":18061,"text":"Jiangsu Environmental Monitoring Center, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Hongling","contributorId":150655,"corporation":false,"usgs":false,"family":"Liu","given":"Hongling","email":"","affiliations":[{"id":18059,"text":"State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582578,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yu, Hongxia","contributorId":150656,"corporation":false,"usgs":false,"family":"Yu","given":"Hongxia","email":"","affiliations":[{"id":18059,"text":"State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582579,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70160337,"text":"70160337 - 2016 - Spatial capture-recapture models allowing Markovian transience or dispersal","interactions":[],"lastModifiedDate":"2016-01-11T11:10:49","indexId":"70160337","displayToPublicDate":"2015-12-17T15:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial capture-recapture models allowing Markovian transience or dispersal","docAbstract":"<p><span>Spatial capture&ndash;recapture (SCR) models are a relatively recent development in quantitative ecology, and they are becoming widely used to model density in studies of animal populations using camera traps, DNA sampling and other methods which produce spatially explicit individual encounter information. One of the core assumptions of SCR models is that individuals possess home ranges that are spatially stationary during the sampling period. For many species, this assumption is unlikely to be met and, even for species that are typically territorial, individuals may disperse or exhibit transience at some life stages. In this paper we first conduct a simulation study to evaluate the robustness of estimators of density under ordinary SCR models when dispersal or transience is present in the population. Then, using both simulated and real data, we demonstrate that such models can easily be described in the BUGS language providing a practical framework for their analysis, which allows us to evaluate movement dynamics of species using capture&ndash;recapture data. We find that while estimators of density are extremely robust, even to pathological levels of movement (e.g., complete transience), the estimator of the spatial scale parameter of the encounter probability model is confounded with the dispersal/transience scale parameter. Thus, use of ordinary SCR models to make inferences about density is feasible, but interpretation of SCR model parameters in relation to movement should be avoided. Instead, when movement dynamics are of interest, such dynamics should be parameterized explicitly in the model.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10144-015-0524-z","usgsCitation":"Royle, J., Fuller, A.K., and Sutherland, C., 2016, Spatial capture-recapture models allowing Markovian transience or dispersal: Population Ecology, v. 58, no. 1, p. 53-62, https://doi.org/10.1007/s10144-015-0524-z.","productDescription":"10 p.","startPage":"53","endPage":"62","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069359","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471404,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s10144-015-0524-z","text":"External Repository"},{"id":312465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-21","publicationStatus":"PW","scienceBaseUri":"5673dcb3e4b0da412f4f81fd","contributors":{"authors":[{"text":"Royle, J. Andrew aroyle@usgs.gov","contributorId":138860,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":582604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":582623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":582624,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159869,"text":"ofr20151230 - 2016 - Water use in Georgia by county for 2010 and water-use trends, 1985–2010","interactions":[],"lastModifiedDate":"2016-12-08T17:04:41","indexId":"ofr20151230","displayToPublicDate":"2015-12-16T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1230","title":"Water use in Georgia by county for 2010 and water-use trends, 1985–2010","docAbstract":"<p>Water use and water withdrawals and returns in 2010 are estimated for each major river basin, principal aquifer, water-planning region, and county in Georgia using data obtained from various Federal and State agencies and local sources. Offstream water use in 2010 is estimated for the categories of public supply, domestic, commercial, industrial, mining, irrigation, livestock, aquaculture, and thermoelectric power. Water-use trends for 1985 to 2010 are also shown.</p>\n<p>The period between 2007 and 2010 was a challenging time economically and climatologically in Georgia. During that period, the United States was in the midst of a major recession, resulting in decreases in the manufacturing and construction industries and large increases in unemployment. During 2007, 2008, and the latter half of 2010, precipitation in Georgia was substantially below the 30-year norm.</p>\n<p>According to the 2010 Census of Population and Housing, nearly 9.7 million people lived in Georgia. The water for about 85 percent of that population was provided by public water suppliers. Estimated total water withdrawals from ground-water and surface-water sources were about 4,670 million gallons per day (Mgal/d) in 2010, about a 15-percent reduction from 2005 (5,471 Mgal/d). In 2010, thermoelectric-power facilities (2,046 Mgal/d) and public-supply uses (1,121 Mgal/d) accounted for 68 percent of all water withdrawn in Georgia. Surface-water withdrawals were greatest for thermoelectric-power generation (2,043 Mgal/d), whereas irrigation used the largest amount of groundwater (599 Mgal/d). Surface water provided 78 percent of the 1,121 Mgal/day withdrawn for public supply in 2010. Typically, counties in northern Georgia withdraw a larger percentage of water from surface water than groundwater sources; whereas, counties in the southern part of the State withdraw more water from groundwater sources.</p>\n<p>Historically, water withdrawals in Georgia were highest in 1980 (6,725 Mgal/d). By 1990, water use had decreased by 20 percent to 5,353 Mgal/d, but increased to 6,487 Mgal/d in 2000. By 2005, water use had decreased to an estimated 5,471 Mgal/d, and declined further to 4,670 Mgal/d in 2010&mdash;a 30-percent decrease since 1980. This decline was evident across all water-use categories, but was greatest for surface-water withdrawals by thermoelectric-power facilities. The estimated total water use per capita in 1985 (total withdrawals for all categories divided by total population) was about 850 gallons per day (gal/d), steadily decreasing to about 798 gal/d in 2000, and decreasing further to 460 gal/d in 2010. Although water use declined among all use categories during that 10-year period, most of the decline in per capita water use was caused by the large decrease in water used for thermoelectric-power generation.</p>\n<p>Throughout 1985&ndash;2010 water withdrawn for thermoelectric-power generation has constituted the largest volume of offstream water use in Georgia. Total withdrawals for thermoelectric-power generation declined about 37 percent between 2000 and 2010, mostly due to the decommissioning of power plants in the State. Also during this period, several power plants were shut down and re-tooled to use natural gas-powered generators; thus, water withdrawals for cooling were substantially reduced.</p>\n<p>The decline in water withdrawals and use between 2005 and 2010 can probably be attributed to several factors working together during this period: (1) water conservation laws and policies along with advances in water-conservation technology; (2) the onset of a major recession in 2007; and (3) below average rainfall in 2007, 2008, and the latter half of 2010. Because of these factors, water withdrawn by public suppliers decreased by 4.8 percent (despite a nearly 11-percent increase in population served) and per capita use decreased by 19 percent between 2005 and 2010.</p>\n<p>About 2,225 Mgal/d of water was returned to Georgia streams and lakes in 2010 under the National Pollutant Discharge Elimination System program administered by the Georgia Environmental Protection Division. This amount is about 48 percent of the total water withdrawn from all sources in 2010. Water returns declined 39 percent between 1995 and 2010, mirroring the decline in water withdrawals during that period. In addition, land applications of treated wastewater increased steadily between 1995 and 2010.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151230","collaboration":"Prepared in cooperation with the Georgia Department of Natural Resources, Environmental Protection Division","usgsCitation":"Lawrence, S.J., 2016, Water use in Georgia by county for 2010 and water-use trends, 1985–2010 (ver. 1.1, January 2016): U.S. Geological Survey Open-File Report 2015–1230, 206 p., https://dx.doi.org/10.3133/ofr20151230.","productDescription":"viii, 206 p.","numberOfPages":"218","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-037442","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":312330,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1230/ofr20151230.pdf","text":"Report","size":"19.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1230"},{"id":312329,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1230/coverthbn.jpg"},{"id":314402,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2015/1230/verHist.txt","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2015-1230"}],"country":"United States","state":"Georgia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.594482421875,\n              34.994003757575776\n            ],\n            [\n              -84.990234375,\n              32.222095840502334\n            ],\n            [\n              -85.166015625,\n              31.83089906339438\n            ],\n            [\n              -85.05615234375,\n              31.541089879585808\n            ],\n            [\n              -85.1220703125,\n              31.21280145833882\n            ],\n            [\n              -84.91333007812499,\n              30.72294882477251\n            ],\n            [\n              -82.24365234375,\n              30.5717205651999\n            ],\n            [\n              -82.188720703125,\n              30.363396239603716\n            ],\n            [\n              -82.0458984375,\n              30.334953881988564\n            ],\n            [\n              -82.034912109375,\n              30.732392734006083\n            ],\n            [\n              -81.89208984375,\n              30.86451022625836\n            ],\n            [\n              -81.45263671875,\n              30.62845887475364\n            ],\n            [\n              -81.10107421874999,\n              31.690781806136822\n            ],\n            [\n              -80.9033203125,\n              31.942839972853083\n            ],\n            [\n              -81.27685546875,\n              32.55607364492029\n            ],\n            [\n              -81.5625,\n              33.08233672856376\n            ],\n            [\n              -81.9580078125,\n              33.46810795527896\n            ],\n            [\n              -82.518310546875,\n              33.93424531117312\n            ],\n            [\n              -82.880859375,\n              34.4793919710481\n            ],\n            [\n              -83.045654296875,\n              34.470335121217495\n            ],\n            [\n              -83.375244140625,\n              34.732584206123626\n            ],\n            [\n              -83.08959960937499,\n              35.0120020431607\n            ],\n            [\n              -85.594482421875,\n              34.994003757575776\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted December 16, 2015; Version 1.1: January 15, 2016","contact":"<p>Director, South Atlantic Water Science Center<br /> U.S. Geological Survey<br /> 720 Gracern Road<br /> Columbia, SC 29210<br /> <a href=\"http://www.usgs.gov/water/southatlantic/\">http://www.usgs.gov/water/southatlantic/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Data Sources and Methodology</li>\n<li>Water Withdrawals, Estimated Water Use, and Surface-Water Returns</li>\n<li>Water-Use Trends, 1985&ndash;2010</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Glossary</li>\n<li>Appendix 1. North American Industrial Classification Codes</li>\n<li>Appendix 2. Population, Water Withdrawals, and Water Use by Source of Water for Each County in Georgia, 2010</li>\n</ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2015-12-16","revisedDate":"2016-01-15","noUsgsAuthors":false,"publicationDate":"2015-12-16","publicationStatus":"PW","scienceBaseUri":"56728b29e4b01a7f82451d87","contributors":{"authors":[{"text":"Lawrence, Stephen J. slawrenc@usgs.gov","contributorId":1885,"corporation":false,"usgs":true,"family":"Lawrence","given":"Stephen","email":"slawrenc@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580832,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70207052,"text":"70207052 - 2016 - Climate change and water resources in a tropical island system: Propagation of uncertainty from statistically downscaled climate models to hydrologic models","interactions":[],"lastModifiedDate":"2019-12-04T15:05:24","indexId":"70207052","displayToPublicDate":"2015-12-15T14:59:21","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and water resources in a tropical island system: Propagation of uncertainty from statistically downscaled climate models to hydrologic models","docAbstract":"<p><span>Many tropical islands have limited water resources with historically increasing demand, all potentially affected by a changing climate. The effects of climate change on island hydrology are difficult to model due to steep local precipitation gradients and sparse data. This work uses 10 statistically downscaled general circulation models (GCMs) under two greenhouse gas emission scenarios to evaluate the uncertainty propagated from GCMs in projecting the effects of climate change on water resources in a tropical island system. The assessment is conducted using a previously configured hydrologic model, the Precipitation Runoff Modelling System (PRMS) for Puerto Rico. Projected climate data and their modelled hydrologic variables versus historical measurements and their modelled hydrologic variables are found to have empirical distribution functions that are statistically different with less than 1 year of daily data aggregation. Thus, only annual averages of the projected hydrologic variables are employed as completely bias‐corrected model outputs. The magnitude of the projected total flow decreases in the four regions covering Puerto Rico, but with a large range of uncertainty depending on the makeup of the GCM ensemble. The multi‐model mean projected total flow decreases by 49–88% of historical amounts from the 1960s to the 2090s for the high emissions scenarios and by 39–79% for the low emissions scenarios. Subsurface flow contributions decreased the least and groundwater flow contributions decreased the most across the island. At locations critical to water supply for human use, projected streamflow is shown to decrease substantially below projected withdrawals by 2099.</span></p>","language":"English","publisher":"Royal Meteorological Society","doi":"10.1002/joc.4560","usgsCitation":"Van Beusekom, A.E., Gould, W.A., Terando, A.J., and Collazo, J.A., 2016, Climate change and water resources in a tropical island system: Propagation of uncertainty from statistically downscaled climate models to hydrologic models: International Journal of Climatology, v. 36, no. 9, p. 3370-3383, https://doi.org/10.1002/joc.4560.","productDescription":"14 p.","startPage":"3370","endPage":"3383","ipdsId":"IP-062479","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":369912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.4066162109375,\n              17.814071002942764\n            ],\n            [\n              -65.56915283203125,\n              17.814071002942764\n            ],\n            [\n              -65.56915283203125,\n              18.609807415471877\n            ],\n            [\n              -67.4066162109375,\n              18.609807415471877\n            ],\n            [\n              -67.4066162109375,\n              17.814071002942764\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"9","noUsgsAuthors":false,"publicationDate":"2015-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Beusekom, Ashley E. 0000-0002-6996-978X beusekom@usgs.gov","orcid":"https://orcid.org/0000-0002-6996-978X","contributorId":3992,"corporation":false,"usgs":true,"family":"Van Beusekom","given":"Ashley","email":"beusekom@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":776637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, William A.","contributorId":103535,"corporation":false,"usgs":true,"family":"Gould","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":776638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":776639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":776640,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160380,"text":"70160380 - 2016 - Acute and chronic toxicity of sodium sulfate to four freshwater organisms in water-only exposures","interactions":[],"lastModifiedDate":"2016-10-17T10:36:14","indexId":"70160380","displayToPublicDate":"2015-12-15T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Acute and chronic toxicity of sodium sulfate to four freshwater organisms in water-only exposures","docAbstract":"<p>The acute and chronic toxicity of sulfate (tested as sodium sulfate) was determined in diluted well water (hardness of 100 mg/L and pH 8.2) with a cladoceran (<i>Ceriodaphnia dubia</i>; 2-d and 7-d exposures), a midge (<i>Chironomus dilutus</i>; 4-d and 41-d exposures), a unionid mussel (pink mucket, <i>Lampsilis abrupta</i>; 4-d and 28-d exposures), and a fish (fathead minnow,<i> Pimephales promelas</i>; 4-d and 34-d exposures). Among the 4 species, the cladoceran and mussel were acutely more sensitive to sulfate than the midge and fathead minnow, whereas the fathead minnow was chronically more sensitive than the other 3 species. Acute-to-chronic ratios ranged from 2.34 to 5.68 for the 3 invertebrates but were as high as 12.69 for the fish. The fathead minnow was highly sensitive to sulfate during the transitional period from embryo development to hatching in the diluted well water, and thus, additional short-term (7- to 14-d) sulfate toxicity tests were conducted starting with embryonic fathead minnow in test waters with different ionic compositions at a water hardness of 100 mg/L. Increasing chloride in test water from 10 mg Cl/L to 25 mg Cl/L did not influence sulfate toxicity to the fish, whereas increasing potassium in test water from 1mg K/L to 3mg K/L substantially reduced the toxicity of sulfate. The results indicate that both acute and chronic sulfate toxicity data, and the influence of potassium on sulfate toxicity to fish embryos, need to be considered when environmental guidance values for sulfate are developed or refined.</p>","language":"English","publisher":"Elsevier","doi":"10.1002/etc.3148","usgsCitation":"Wang, N., Consbrock, R.A., Ingersoll, C.G., Hardesty, D., Brumbaugh, W.G., Hammer, E.J., Bauer, C.R., and Mount, D.R., 2016, Acute and chronic toxicity of sodium sulfate to four freshwater organisms in water-only exposures: Environmental Toxicology and Chemistry, v. 35, no. 1, p. 115-127, https://doi.org/10.1002/etc.3148.","productDescription":"13 p.","startPage":"115","endPage":"127","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064762","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":312505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-02","publicationStatus":"PW","scienceBaseUri":"56753c39e4b0da412f4f8bc5","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":582797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Consbrock, Rebecca A. 0000-0002-5748-7046 rconsbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":3095,"corporation":false,"usgs":true,"family":"Consbrock","given":"Rebecca","email":"rconsbrock@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":582798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":582799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardesty, Douglas K. dhardesty@usgs.gov","contributorId":3281,"corporation":false,"usgs":true,"family":"Hardesty","given":"Douglas K.","email":"dhardesty@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":582800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":582801,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hammer, Edward J.","contributorId":150723,"corporation":false,"usgs":false,"family":"Hammer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":582802,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bauer, Candice R.","contributorId":150724,"corporation":false,"usgs":false,"family":"Bauer","given":"Candice","email":"","middleInitial":"R.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":582803,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mount, David R.","contributorId":150725,"corporation":false,"usgs":false,"family":"Mount","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":18078,"text":"U. S. Environmental Protection Agency, Environmental Effects Research Laboratory, Duluth, Minnesota","active":true,"usgs":false}],"preferred":false,"id":582804,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70160291,"text":"70160291 - 2016 - Transforming growth factor-β1 expression in endangered age-0 shortnose suckers (<i>Chasmistes brevirostris</i>) from Upper Klamath Lake, OR relative to histopathology, meristic, spatial, and temporal data","interactions":[],"lastModifiedDate":"2016-12-14T12:34:20","indexId":"70160291","displayToPublicDate":"2015-12-15T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1644,"text":"Fish & Shellfish Immunology","active":true,"publicationSubtype":{"id":10}},"title":"Transforming growth factor-β1 expression in endangered age-0 shortnose suckers (<i>Chasmistes brevirostris</i>) from Upper Klamath Lake, OR relative to histopathology, meristic, spatial, and temporal data","docAbstract":"<p>During July &ndash; September of 2008, 2009, and 2010 endangered age-0 juvenile shortnose suckers were sampled from Upper Klamath Lake, OR in a health evaluation that included the measurement of transforming growth factor &ndash; beta (TGF-&beta;) expression in spleen in combination with a histopathology assessment. This analysis was performed to determine if the expression of this immuno-regulator could be used as a component of a larger health evaluation intended to identify potential risk-factors that may help to explain why very few of these fish survive to age-1. Potential associations between TGF-&beta;1 expression, histopathological findings, meristic data as well as temporal and spatial data were evaluated using analysis-of-variance. In this analysis, the absence or presence of opercula deformity and hepatic cell necrosis were identified as significant factors in accounting for the variance in TGF-&beta;1 expression observed in age-0 shortnose suckers (n = 122, squared multiple R = 0.989). Location of sample collection and the absence or presence of anchor worms (<i>Lernaea</i> spp.) were identified as significant cofactors. The actual mechanisms involved with these relationships have yet to be determined. The strength, however, of our findings support the concept of using TGF-&beta;1 expression as part of a broader fish health assessment and suggests the potential for using additional immunologic measures in future studies. Specifically, our results indicate that the measure of TGF-&beta;1 expression in age-0 shortnose sucker health assessments can facilitate the process of identifying disease risks that are associated with the documented lack of recruitment into the adult population.</p>","language":"English","publisher":"Academic Press","publisherLocation":"London, UK","doi":"10.1016/j.fsi.2015.12.019","usgsCitation":"Ottinger, C.A., Densmore, C.L., Robertson, L.S., Iwanowicz, D.D., and Vanderkooi, S.P., 2016, Transforming growth factor-β1 expression in endangered age-0 shortnose suckers (<i>Chasmistes brevirostris</i>) from Upper Klamath Lake, OR relative to histopathology, meristic, spatial, and temporal data: Fish & Shellfish Immunology, v. 49, p. 1-6, https://doi.org/10.1016/j.fsi.2015.12.019.","productDescription":"6 p.","startPage":"1","endPage":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068548","costCenters":[{"id":365,"text":"Leetown Science 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