Streams and rivers are active processors of carbon, leading to significant emissions of CO2 and possibly CH4 to the atmosphere. Patterns and controls of CH4 in fluvial ecosystems remain relatively poorly understood. Furthermore, little is known regarding how major human impacts to fluvial ecosystems may be transforming their role as CH4 producers and emitters. Here, we examine the consequences of two distinct ecosystem changes as a result of human land use: increased nutrient loading (primarily as nitrate), and increased sediment loading and deposition of fine particles in the benthic zone. We did not find support for the hypothesis that enhanced nitrate loading down-regulates methane production via thermodynamic or toxic effects. We did find strong evidence that increased sedimentation and enhanced organic matter content of the benthos lead to greater methane production (diffusive + ebullitive flux) relative to pristine fluvial systems in northern Wisconsin (upper Midwest, USA). Overall, streams in a human-dominated landscape of southern Wisconsin were major regional sources of CH4 to the atmosphere, equivalent to ~20% of dairy cattle emissions, or ~50% of a landfill’s annual emissions. We suggest that restoration of the benthic environment (reduced fine deposits) could lead to reduced CH4 emissions, while decreasing nutrient loading is likely to have limited impacts to this ecosystem process.
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\":{\"name\":\"Alaska\",\"nation\":\"USA \"}}]}","contact":"U.S. Geological Survey
Director, Crustal Geophysics and Geochemistry Science Center
Box 25046, MS-973
Denver Federal Center
Denver, CO 80225-0046
http://crustal.usgs.gov
Surveillance for pathogens of Atlantic herring, including viral hemorrhagic septicemia virus (VHSV),Ichthyophonus hoferi, and hepatic and intestinal coccidians, was conducted from 2012 to 2016 in the NW Atlantic Ocean, New Jersey, USA. Neither VHSV nor I. hoferi was detected in any sample. Goussia clupearum was found in the livers of 40 to 78% of adult herring in varying parasite loads; however, associated pathological changes were negligible. Phylogenetic analysis based on small subunit 18S rRNA gene sequences placed G. clupearum most closely with other extraintestinal liver coccidia from the genus Calyptospora, though the G. clupearum isolates had a unique nucleotide insertion between 604 and 729 bp that did not occur in any other coccidian species. G. clupearum oocysts from Atlantic and Pacific herring were morphologically similar, though differences occurred in oocyst dimensions. Comparison of G. clupearum genetic sequences from Atlantic and Pacific herring revealed 4 nucleotide substitutions and 2 gaps in a 1749 bp region, indicating some divergence in the geographically separate populations. Pacific G. clupearum oocysts were not directly infective, suggesting that a heteroxenous life cycle is likely. Intestinal coccidiosis was described for the first time from juvenile and adult Atlantic herring. A novel intestinal coccidian species was detected based on morphological characteristics of exogenously sporulated oocysts. A unique feature in these oocysts was the presence of 3 long (15.1 ± 5.1 µm, mean ±SD) spiny projections on both ends of the oocyst. The novel morphology of this coccidian led us to tentatively name this parasite G. echinata n. sp.
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Jersey\",\"nation\":\"USA \"}}]}","volume":"120","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5799db45e4b0589fa1c7e7f7","contributors":{"authors":[{"text":"Friend, Sarah E","contributorId":173192,"corporation":false,"usgs":false,"family":"Friend","given":"Sarah","email":"","middleInitial":"E","affiliations":[{"id":27184,"text":"New Jersey Division of Fish & Wildlife, Office of Fish & Wildlife Health & Forensics, 605 Pequest Rd. Oxford, New Jersey 07863","active":true,"usgs":false}],"preferred":false,"id":643611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovey, J","contributorId":173193,"corporation":false,"usgs":false,"family":"Lovey","given":"J","email":"","affiliations":[{"id":27184,"text":"New Jersey Division of Fish & Wildlife, Office of Fish & Wildlife Health & Forensics, 605 Pequest Rd. Oxford, New Jersey 07863","active":true,"usgs":false}],"preferred":false,"id":643612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hershberger, Paul 0000-0002-2261-7760 phershberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":150816,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643610,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174952,"text":"70174952 - 2016 - Delta smelt: Life history and decline of a once abundant species in the San Francisco Estuary","interactions":[],"lastModifiedDate":"2017-10-30T09:44:42","indexId":"70174952","displayToPublicDate":"2016-07-07T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Delta smelt: Life history and decline of a once abundant species in the San Francisco Estuary","docAbstract":"This paper reviews what has been learned about Delta Smelt and its status since the publication of The State of Bay-Delta Science, 2008 (Healey et al. 2008). The Delta Smelt is endemic to the upper San Francisco Estuary. Much of its historic habitat is no longer available and remaining habitat is increasingly unable to sustain the population. As a listed species living in the central node of California’s water supply system, Delta Smelt has been the focus of a large research effort to understand causes of decline and identify ways to recover the species. Since 2008, a remarkable record of innovative research on Delta Smelt has been achieved, which is summarized here. Unfortunately, research has not prevented the smelt’s continued decline, which is the result of multiple, interacting factors. A major driver of decline is change to the Delta ecosystem from water exports, resulting in reduced outflows and high levels of entrainment in the large pumps of the South Delta. Invasions of alien species, encouraged by environmental change, have also played a contributing role in the decline. Severe drought effects have pushed Delta Smelt to record low levels in 2014–2015. The rapid decline of the species and failure of recovery efforts demonstrate an inability to manage the Delta for the “co-equal goals” of maintaining a healthy ecosystem and providing a reliable water supply for Californians. Diverse and substantial management actions are needed to preserve Delta Smelt.
","language":"English","publisher":"University of California at Davis John Muir Institute of the Environment and the Delta Stewardship Council","doi":"10.15447/sfews.2016v14iss2art6","usgsCitation":"Moyle, P.B., Brown, L.R., Durand, J.R., and Hobbs, J.A., 2016, Delta smelt: Life history and decline of a once abundant species in the San Francisco Estuary: San Francisco Estuary and Watershed Science, v. 14, no. 2, 30 p., https://doi.org/10.15447/sfews.2016v14iss2art6.","productDescription":"30 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071974","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":470760,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2016v14iss2art6","text":"Publisher Index Page"},{"id":325570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.69805908203125,\n 37.37452264407722\n ],\n [\n -122.69805908203125,\n 38.3287297527893\n ],\n [\n -121.871337890625,\n 38.3287297527893\n ],\n [\n -121.871337890625,\n 37.37452264407722\n ],\n [\n -122.69805908203125,\n 37.37452264407722\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-18","publicationStatus":"PW","scienceBaseUri":"57934443e4b0eb1ce79e8be4","contributors":{"authors":[{"text":"Moyle, Peter B.","contributorId":117099,"corporation":false,"usgs":false,"family":"Moyle","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":643305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durand, John R","contributorId":173098,"corporation":false,"usgs":false,"family":"Durand","given":"John","email":"","middleInitial":"R","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":643306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobbs, James A.","contributorId":171638,"corporation":false,"usgs":false,"family":"Hobbs","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":643307,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70169855,"text":"70169855 - 2016 - A framework for assessing the feasibility of native fish conservation translocations: Applications to threatened bull trout","interactions":[],"lastModifiedDate":"2016-08-02T09:11:26","indexId":"70169855","displayToPublicDate":"2016-07-07T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A framework for assessing the feasibility of native fish conservation translocations: Applications to threatened bull trout","docAbstract":"A novel highly pathogenic avian influenza virus belonging to the H5 clade 2.3.4.4 variant viruses was detected in North America in late 2014. Motivated by the identification of these viruses in domestic poultry in Canada, an intensive study was initiated to conduct highly pathogenic avian influenza surveillance in wild birds in the Pacific Flyway of the United States. A total of 4,729 hunter-harvested wild birds were sampled and highly pathogenic avian influenza virus was detected in 1.3% (n = 63). Three H5 clade 2.3.4.4 subtypes were isolated from wild birds, H5N2, H5N8, and H5N1, representing the wholly Eurasian lineage H5N8 and two novel reassortant viruses. Testing of 150 additional wild birds during avian morbidity and mortality investigations in Washington yielded 10 (6.7%) additional highly pathogenic avian influenza isolates (H5N8 = 3 and H5N2 = 7). The geographically widespread detection of these viruses in apparently healthy wild waterfowl suggest that the H5 clade 2.3.4.4 variant viruses may behave similarly in this taxonomic group whereby many waterfowl species are susceptible to infection but do not demonstrate obvious clinical disease. Despite these findings in wild waterfowl, mortality has been documented for some wild bird species and losses in US domestic poultry during the first half of 2015 were unprecedented.
","language":"English","publisher":"Macmillan Journals Ltd","publisherLocation":"London","doi":"10.1038/srep28980","usgsCitation":"Bevins, S., Dusek, R.J., White, C.L., Gidlewski, T., Bodenstein, B., Mansfield, K.G., DeBruyn, P., Kraege, D.K., Rowan, E., Gillin, C., Thomas, B., Chandler, S., Baroch, J., Schmit, B., Grady, M.J., Miller, R.S., Drew, M., Stopak, S., Zscheile, B., Bennett, J., Sengl, J., Brady, C., Ip, S., Spackman, E., Killian, M.L., Kim Torchetti, M., Sleeman, J.M., and DeLiberto, T., 2016, Widespread detection of highly pathogenic H5 influenza viruses in wild birds from the Pacific Flyway of the United States: Scientific Reports, v. 6, Article 28980; 9 p., https://doi.org/10.1038/srep28980.","productDescription":"Article 28980; 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073866","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep28980","text":"Publisher Index Page"},{"id":324793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"Pacific Flyway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.6328125,\n 66.23145747862573\n ],\n [\n -132.890625,\n 64.32087157990324\n ],\n [\n -98.26171875,\n 15.792253570362446\n ],\n [\n -120.76171875,\n 26.745610382199022\n ],\n [\n -153.6328125,\n 66.23145747862573\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-06","publicationStatus":"PW","scienceBaseUri":"577f6f1be4b0ef4d2f45d43b","contributors":{"authors":[{"text":"Bevins, S.N.","contributorId":38782,"corporation":false,"usgs":true,"family":"Bevins","given":"S.N.","affiliations":[],"preferred":false,"id":641677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":152316,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":641676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":641773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gidlewski, Thomas","contributorId":139363,"corporation":false,"usgs":false,"family":"Gidlewski","given":"Thomas","email":"","affiliations":[{"id":12749,"text":"USDA APHIS National Wildlife Research Center, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":641774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodenstein, B. 0000-0001-7946-0103","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":6664,"corporation":false,"usgs":true,"family":"Bodenstein","given":"B.","affiliations":[],"preferred":false,"id":641775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mansfield, Kristin G.","contributorId":139359,"corporation":false,"usgs":false,"family":"Mansfield","given":"Kristin","email":"","middleInitial":"G.","affiliations":[{"id":12748,"text":"State of Washington","active":true,"usgs":false}],"preferred":false,"id":641776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeBruyn, Paul","contributorId":139364,"corporation":false,"usgs":false,"family":"DeBruyn","given":"Paul","email":"","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":641777,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kraege, Donald K.","contributorId":19738,"corporation":false,"usgs":false,"family":"Kraege","given":"Donald","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":641778,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rowan, E. L. 0000-0001-5753-6189","orcid":"https://orcid.org/0000-0001-5753-6189","contributorId":34921,"corporation":false,"usgs":true,"family":"Rowan","given":"E. L.","affiliations":[],"preferred":false,"id":641779,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gillin, Colin","contributorId":87400,"corporation":false,"usgs":true,"family":"Gillin","given":"Colin","affiliations":[],"preferred":false,"id":641780,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thomas, B.","contributorId":172734,"corporation":false,"usgs":false,"family":"Thomas","given":"B.","affiliations":[],"preferred":false,"id":641781,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chandler, S.","contributorId":172735,"corporation":false,"usgs":false,"family":"Chandler","given":"S.","email":"","affiliations":[],"preferred":false,"id":641782,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Baroch, J.","contributorId":172736,"corporation":false,"usgs":false,"family":"Baroch","given":"J.","affiliations":[],"preferred":false,"id":641783,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schmit, B.","contributorId":172737,"corporation":false,"usgs":false,"family":"Schmit","given":"B.","email":"","affiliations":[],"preferred":false,"id":641784,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Grady, M. J.","contributorId":172738,"corporation":false,"usgs":false,"family":"Grady","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":641785,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Miller, R. S.","contributorId":172739,"corporation":false,"usgs":false,"family":"Miller","given":"R.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":641786,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Drew, M.L.","contributorId":77712,"corporation":false,"usgs":true,"family":"Drew","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":641787,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Stopak, S.","contributorId":172740,"corporation":false,"usgs":false,"family":"Stopak","given":"S.","affiliations":[],"preferred":false,"id":641788,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Zscheile, B.","contributorId":172741,"corporation":false,"usgs":false,"family":"Zscheile","given":"B.","email":"","affiliations":[],"preferred":false,"id":641789,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Bennett, J.","contributorId":99942,"corporation":false,"usgs":true,"family":"Bennett","given":"J.","affiliations":[],"preferred":false,"id":641790,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Sengl, J.","contributorId":172742,"corporation":false,"usgs":false,"family":"Sengl","given":"J.","email":"","affiliations":[],"preferred":false,"id":641791,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Brady, Caroline","contributorId":145624,"corporation":false,"usgs":false,"family":"Brady","given":"Caroline","email":"","affiliations":[],"preferred":false,"id":641792,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":641793,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Spackman, Erica","contributorId":53647,"corporation":false,"usgs":false,"family":"Spackman","given":"Erica","email":"","affiliations":[],"preferred":false,"id":641794,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Killian, M. L.","contributorId":115430,"corporation":false,"usgs":true,"family":"Killian","given":"M.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":641795,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Kim Torchetti, Mia","contributorId":139355,"corporation":false,"usgs":false,"family":"Kim Torchetti","given":"Mia","email":"","affiliations":[{"id":12747,"text":"USDA APHIS VS National Veterinary Services Laboratories, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":641796,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":641797,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"DeLiberto, T.J.","contributorId":79328,"corporation":false,"usgs":true,"family":"DeLiberto","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":641678,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}} ,{"id":70179390,"text":"70179390 - 2016 - Detection, prevalence, and transmission of avian hematozoa in waterfowl at the Arctic/sub-Arctic interface: co-infections, viral interactions, and sources of variation.","interactions":[],"lastModifiedDate":"2016-12-30T10:37:46","indexId":"70179390","displayToPublicDate":"2016-07-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3010,"text":"Parasites & Vectors","printIssn":"1756-3305","active":true,"publicationSubtype":{"id":10}},"title":"Detection, prevalence, and transmission of avian hematozoa in waterfowl at the Arctic/sub-Arctic interface: co-infections, viral interactions, and sources of variation.","docAbstract":"Background: The epidemiology of avian hematozoa at high latitudes is still not well understood, particularly in sub-Arctic and Arctic habitats, where information is limited regarding seasonality and range of transmission, co-infection dynamics with parasitic and viral agents, and possible fitness consequences of infection. Such information is important as climate warming may lead to northward expansion of hematozoa with unknown consequences to northern-breeding avian taxa, particularly populations that may be previously unexposed to blood parasites.\nMethods: We used molecular methods to screen blood samples and cloacal/oropharyngeal swabs collected from 1347 ducks of five species during May-August 2010, in interior Alaska, for the presence of hematozoa, Influenza A Virus (IAV), and IAV antibodies. Using models to account for imperfect detection of parasites, we estimated seasonal variation in prevalence of three parasite genera (Haemoproteus, Plasmodium, Leucocytozoon) and investigated how co-infection with parasites and viruses were related to the probability of infection.\n\nResults: We detected parasites from each hematozoan genus in adult and juvenile ducks of all species sampled. Seasonal patterns in detection and prevalence varied by parasite genus and species, age, and sex of duck hosts. The probabilities of infection for Haemoproteus and Leucocytozoon parasites were strongly positively correlated, but hematozoa infection was not correlated with IAV infection or serostatus. The probability of Haemoproteus infection was negatively related to body condition in juvenile ducks; relationships between Leucocytozoon infection and body condition varied among host species.\n\nConclusions: We present prevalence estimates for Haemoproteus, Leucocytozoon, and Plasmodium infections in waterfowl at the interface of the sub-Arctic and Arctic and provide evidence for local transmission of all three parasite genera. Variation in prevalence and molecular detection of hematozoa parasites in wild ducks is influenced by seasonal timing and a number of host traits. A positive correlation in co-infection of Leucocytozoon and Haemoproteus suggests that infection probability by parasites in one or both genera is enhanced by infection with the other, or that encounter rates of hosts and genus-specific vectors are correlated. Using size-adjusted mass as an index of host condition, we did not find evidence for strong deleterious consequences of hematozoa infection in wild ducks.","language":"English","publisher":"BioMed Central","doi":"10.1186/s13071-016-1666-3","usgsCitation":"Meixell, B.W., Arnold, T.W., Lindberg, M.S., Smith, M.M., Ramey, A.M., and Runstadler, J.A., 2016, Detection, prevalence, and transmission of avian hematozoa in waterfowl at the Arctic/sub-Arctic interface: co-infections, viral interactions, and sources of variation.: Parasites & Vectors, v. 9, no. 390, 18 p., https://doi.org/10.1186/s13071-016-1666-3.","productDescription":"18 p.","ipdsId":"IP-074072","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470767,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13071-016-1666-3","text":"Publisher Index Page"},{"id":438594,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QJ7FD2","text":"USGS data release","linkHelpText":"Morphology and Disease Information from Waterfowl, Interior Alaska, 2010"},{"id":332677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332668,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/ 10.1186/s13071-016-1666-3"}],"volume":"9","issue":"390","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-07","publicationStatus":"PW","scienceBaseUri":"586781f8e4b0cd2dabe7c719","chorus":{"doi":"10.1186/s13071-016-1666-3","url":"http://dx.doi.org/10.1186/s13071-016-1666-3","publisher":"Springer Nature","authors":"Meixell Brandt W., Arnold Todd W., Lindberg Mark S., Smith Matthew M., Runstadler Jonathan A., Ramey Andrew M.","journalName":"Parasites & Vectors","publicationDate":"7/7/2016"},"contributors":{"authors":[{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":657031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, Todd W.","contributorId":36058,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd","email":"","middleInitial":"W.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":657046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindberg, Mark S.","contributorId":63292,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":657047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":657032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":657033,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runstadler, Jonathan A.","contributorId":24706,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":657048,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70174063,"text":"sim3360 - 2016 - Geologic map of the Murray Quadrangle, Newton County, Arkansas","interactions":[],"lastModifiedDate":"2016-07-06T16:36:17","indexId":"sim3360","displayToPublicDate":"2016-07-06T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3360","title":"Geologic map of the Murray Quadrangle, Newton County, Arkansas","docAbstract":"This map summarizes the geology of the Murray quadrangle in the Ozark Plateaus region of northern Arkansas. Geologically, the area is on the southern flank of the Ozark dome, an uplift that has the oldest rocks exposed at its center, in Missouri. Physiographically, the Murray quadrangle is within the Boston Mountains, a high plateau region underlain by Pennsylvanian sandstones and shales. Valleys of the Buffalo River and Little Buffalo River and their tributaries expose an approximately 1,600-ft-thick (488-meter-thick) sequence of Ordovician, Mississippian, and Pennsylvanian carbonate and clastic sedimentary rocks that have been mildly deformed by a series of faults and folds. The Buffalo National River, a park that encompasses the Buffalo River and adjacent land that is administered by the National Park Service is present at the northwestern edge of the quadrangle.
Mapping for this study was carried out by field inspection of numerous sites and was compiled as a 1:24,000 geographic information system (GIS) database. Locations and elevation of sites were determined with the aid of a global positioning satellite receiver and a hand-held barometric altimeter that was frequently recalibrated at points of known elevation. Hill-shade relief and slope maps derived from a U.S. Geological Survey 10-meter digital elevation model as well as orthophotographs were used to help trace ledge-forming units between field traverses within the Upper Mississippian and Pennsylvanian part of the stratigraphic sequence. Strike and dip of beds were typically measured along stream drainages or at well-exposed ledges. Structure contours, constructed on the top of the Boone Formation and the base of a prominent sandstone unit within the Bloyd Formation, were drawn based on the elevations of field sites on these contacts well as other limiting information for their minimum elevations above hilltops or their maximum elevations below valley bottoms.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3360","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Hudson, M.R., and Turner, K.J., 2016, Geologic map of the Murray quadrangle, Newton County, Arkansas: U.S. Geological Survey Scientific Investigations Map 3360, 1 sheet, scale 1:24,000, https://dx.doi.org/10.3133/sim3360.","productDescription":"Sheet: 51.07 x 36.00 inches; Metadata; Read Me; Spatial Data","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062555","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":324754,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_georeferenced.pdf","text":"Georeferenced geologic map","size":"127.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3360 Geologic Georeferenced Map"},{"id":324755,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_GIS.gdb.zip","text":"Geodatabase","size":"9.16 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3360 Geodatabase"},{"id":324756,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_shapefiles.zip","text":"Shapefiles","size":"1.25 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3360 Shapefiles"},{"id":324751,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3360/coverthb.jpg"},{"id":324758,"rank":8,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_metadata.zip","text":"Metadata","size":"16.0 kB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3360 Metadata"},{"id":324752,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_readme_version2.txt","text":"Read Me","size":"8.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3360 ReadMe"},{"id":324757,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_basemaps.zip","text":"Base maps","size":"17.0 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3360 Base maps"},{"id":324753,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3360/sim3360.pdf","text":"Geologic map","size":"34.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3360 Geologic Map"}],"country":"United States","state":"Arkansas","county":"Newton County","otherGeospatial":"Murray Quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.375,\n 35.875\n ],\n [\n -93.375,\n 36\n ],\n [\n -93.25,\n 36\n ],\n [\n -93.25,\n 35.875\n ],\n [\n -93.375,\n 35.875\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"U.S. Geological Survey
Center Director, USGS Geosciences and Environmental Change Science Center
Box 25046, MS-980
Denver Federal Center
Denver, CO 80225-0046
http://gec.cr.usgs.gov
Effective conservation planning requires understanding and ranking threats to wildlife populations. We developed a Bayesian network model to evaluate the relative influence of environmental and anthropogenic stressors, and their mitigation, on the persistence of polar bears (Ursus maritimus). Overall sea ice conditions, affected by rising global temperatures, were the most influential determinant of population outcomes. Accordingly, unabated rise in atmospheric greenhouse gas (GHG) concentrations was the dominant influence leading to worsened population outcomes, with polar bears in three of four ecoregions reaching a dominant probability of decreased or greatly decreased by the latter part of this century. Stabilization of atmospheric GHG concentrations by mid-century delayed the greatly reduced state by ≈25 yr in two ecoregions. Prompt and aggressive mitigation of emissions reduced the probability of any regional population becoming greatly reduced by up to 25%. Marine prey availability, linked closely to sea ice trend, had slightly less influence on outcome state than sea ice availability itself. Reduced mortality from hunting and defense of life and property interactions resulted in modest declines in the probability of a decreased or greatly decreased population outcome. Minimizing other stressors such as trans-Arctic shipping, oil and gas exploration, and contaminants had a negligible effect on polar bear outcomes, although the model was not well-informed with respect to the potential influence of these stressors. Adverse consequences of loss of sea ice habitat became more pronounced as the summer ice-free period lengthened beyond four months, which could occur in most of the Arctic basin after mid-century if GHG emissions are not promptly reduced. Long-term conservation of polar bears would be best supported by holding global mean temperature to ≤ 2°C above preindustrial levels. Until further sea ice loss is stopped, management of other stressors may serve to slow the transition of populations to progressively worsened outcomes, and improve the prospects for their long-term persistence.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1370","usgsCitation":"Atwood, T.C., Marcot, B.G., Douglas, D.C., Amstrup, S.C., Rode, K.D., Durner, G.M., and Bromaghin, J.F., 2016, Forecasting the relative influence of environmental and anthropogenic stressors on polar bears: Ecosphere, v. 7, no. 6, Article e01370; 22 p., https://doi.org/10.1002/ecs2.1370.","productDescription":"Article e01370; 22 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066721","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470768,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1370","text":"Publisher Index Page"},{"id":324786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"577e1d9de4b0ef4d2f43e6bd","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":641661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcot, Bruce G.","contributorId":152612,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":641662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":641663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":641664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":641665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":641666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":641667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70171113,"text":"ofr20161085 - 2016 - Identifying bird and reptile vulnerabilities to climate change in the southwestern United States","interactions":[],"lastModifiedDate":"2017-11-25T13:39:32","indexId":"ofr20161085","displayToPublicDate":"2016-07-06T16:00:00","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":"2016-1085","title":"Identifying bird and reptile vulnerabilities to climate change in the southwestern United States","docAbstract":"Current and future breeding ranges of 15 bird and 16 reptile species were modeled in the Southwestern United States. Rather than taking a broad-scale, vulnerability-assessment approach, we created a species distribution model (SDM) for each focal species incorporating climatic, landscape, and plant variables. Baseline climate (1940–2009) was characterized with Parameter-elevation Regressions on Independent Slopes Model (PRISM) data and future climate with global-circulation-model data under an A1B emission scenario. Climatic variables included monthly and seasonal temperature and precipitation; landscape variables included terrain ruggedness, soil type, and insolation; and plant variables included trees and shrubs commonly associated with a focal species. Not all species-distribution models contained a plant, but if they did, we included a built-in annual migration rate for more accurate plant-range projections in 2039 or 2099. We conducted a group meta-analysis to (1) determine how influential each variable class was when averaged across all species distribution models (birds or reptiles), and (2) identify the correlation among contemporary (2009) habitat fragmentation and biological attributes and future range projections (2039 or 2099). Projected changes in bird and reptile ranges varied widely among species, with one-third of the ranges predicted to expand and two-thirds predicted to contract. A group meta-analysis indicated that climatic variables were the most influential variable class when averaged across all models for both groups, followed by landscape and plant variables (birds), or plant and landscape variables (reptiles), respectively. The second part of the meta-analysis indicated that numerous contemporary habitat-fragmentation (for example, patch isolation) and biological-attribute (for example, clutch size, longevity) variables were significantly correlated with the magnitude of projected range changes for birds and reptiles. Patch isolation was a significant trans-specific driver of projected bird and reptile ranges, suggesting that strategic actions should focus on restoration and enhancement of habitat at local and regional scales to promote landscape connectivity and conservation of core areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161085","usgsCitation":"Hatten, J.R., Giermakowski, J.T., Holmes, J.A., Nowak, E.M., Johnson, M.J., Ironside, K.E., van Riper, Charles, III, Peters, Michael, Truettner, Charles, and Cole, K.L., 2016, Identifying bird and reptile vulnerabilities to climate change in the Southwestern United States: U.S. Geological Survey Open-File Report 2016-1085, 76 p., https://dx.doi.org/10.3133/ofr20161085.","productDescription":"vi, 76 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070152","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":324760,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1085/coverthb.jpg"},{"id":324761,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1085/ofr20161085.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1085 Report PDF"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.053249,41.001406],[-102.124972,41.002338],[-102.051292,40.749591],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-104.048736,48.999877],[-104.053249,41.001406]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA \"}}]}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
The Kittlitz's Murrelet (Brachyramphus brevirostris) is a small, non-colonial seabird endemic to marine waters of Alaska and eastern Russia that may have experienced significant population decline in recent decades, in part because of low reproductive success and terrestrial threats. Although recent studies have shed new light on Kittlitz's Murrelet nesting habitat in a few discrete areas, the location and extent of suitable nesting habitat throughout most of its range remains unclear. Here, we have compiled all existing nest records and locations to identify landscape-scale parameters (distance to coast, elevation, slope, and land cover) that provide potential nesting habitat in four regions: northern Alaska, Aleutian Islands, Alaska Peninsula Mountains and Kodiak Island, and Pacific Coastal Mountains (including nearshore interior Canada). We produced a final map classifying 12% (70,411 km2) of the lands assessed as potential Kittlitz's Murrelet nesting habitat, with dense but distinct patches in northern Alaska and a more uninterrupted, narrow band extending across the Pacific Coastal Mountains, Alaska Peninsula Mountains, and Aleutian Islands. The extent of habitat-capable parameter values varied regionally, indicating that the Kittlitz's Murrelet may be able to use a variety of habitats for nesting, depending on availability. Future nesting habitat studies could employ spatially random sampling designs to allow for quantitatively robust modeling of nesting habitat and predictive extrapolation to areas where nests have not been located but likely exist.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/112015-JFWM-116","usgsCitation":"Felis, J.J., Kissling, M.L., Kaler, R., Kenney, L., and Lawonn, M.J., 2016, Identifying Kittlitz's Murrelet nesting habitat in North America at the landscape scale: Journal of Fish and Wildlife Management, v. 7, no. 2, p. 323-333, https://doi.org/10.3996/112015-JFWM-116.","productDescription":"11 p.","startPage":"323","endPage":"333","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075507","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488466,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/112015-jfwm-116","text":"Publisher Index Page"},{"id":438595,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71V5C2W","text":"USGS data release","linkHelpText":"Identifying Kittlitz's Murrelet nesting habitat in North America at the 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Center","active":true,"usgs":true}],"preferred":true,"id":641539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kissling, Michelle L.","contributorId":172675,"corporation":false,"usgs":false,"family":"Kissling","given":"Michelle","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":641540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaler, Robb S.A.","contributorId":69066,"corporation":false,"usgs":true,"family":"Kaler","given":"Robb S.A.","affiliations":[],"preferred":false,"id":641541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenney, Leah A.","contributorId":67011,"corporation":false,"usgs":true,"family":"Kenney","given":"Leah A.","affiliations":[],"preferred":false,"id":641542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawonn, Matthew J.","contributorId":172676,"corporation":false,"usgs":false,"family":"Lawonn","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":27075,"text":"USFWS, Kodiak National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":641543,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174978,"text":"70174978 - 2016 - Biogeochemical controls of uranium bioavailability from the dissolved phase in natural freshwaters","interactions":[],"lastModifiedDate":"2018-08-09T12:01:50","indexId":"70174978","displayToPublicDate":"2016-07-06T14:30:00","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":"Biogeochemical controls of uranium bioavailability from the dissolved phase in natural freshwaters","docAbstract":"To gain insights into the risks associated with uranium (U) mining and processing, we investigated the biogeochemical controls of U bioavailability in the model freshwater speciesLymnaea stagnalis (Gastropoda). Bioavailability of dissolved U(VI) was characterized in controlled laboratory experiments over a range of water hardness, pH, and in the presence of complexing ligands in the form of dissolved natural organic matter (DOM). Results show that dissolved U is bioavailable under all the geochemical conditions tested. Uranium uptake rates follow first order kinetics over a range encompassing most environmental concentrations. Uranium uptake rates in L. stagnalis ultimately demonstrate saturation uptake kinetics when exposure concentrations exceed 100 nM, suggesting uptake via a finite number of carriers or ion channels. The lack of a relationship between U uptake rate constants and Ca uptake rates suggest that U does not exclusively use Ca membrane transporters. In general, U bioavailability decreases with increasing pH, increasing Ca and Mg concentrations, and when DOM is present. Competing ions did not affect U uptake rates. Speciation modeling that includes formation constants for U ternary complexes reveals that the aqueous concentration of dicarbonato U species (UO2(CO3)2–2) best predicts U bioavailability to L. stagnalis, challenging the free-ion activity model postulate.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b02406","usgsCitation":"Croteau, M.N., Fuller, C.C., Cain, D.J., Campbell, K.M., and Aiken, G.R., 2016, Biogeochemical controls of uranium bioavailability from the dissolved phase in natural freshwaters: Environmental Science & Technology, v. 50, no. 15, p. 8120-8127, https://doi.org/10.1021/acs.est.6b02406.","productDescription":"8 p.","startPage":"8120","endPage":"8127","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075146","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":325712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"15","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-21","publicationStatus":"PW","scienceBaseUri":"5799db3be4b0589fa1c7e732","chorus":{"doi":"10.1021/acs.est.6b02406","url":"http://dx.doi.org/10.1021/acs.est.6b02406","publisher":"American Chemical Society (ACS)","authors":"Croteau Marie-Noële, Fuller Christopher C., Cain Daniel J., Campbell Kate M., Aiken George","journalName":"Environmental Science & Technology","publicationDate":"8/2/2016"},"contributors":{"authors":[{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":643486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":643487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":643488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":643489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643490,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188881,"text":"70188881 - 2016 - The Pilot Valley shoreline: An early record of Lake Bonneville dynamics","interactions":[],"lastModifiedDate":"2020-08-25T18:25:05.606281","indexId":"70188881","displayToPublicDate":"2016-07-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"The Pilot Valley shoreline: An early record of Lake Bonneville dynamics","docAbstract":"The Pilot Valley shoreline is named for distinctive gravel beaches on the eastern, northern, and western sides of Pilot Valley playa, Utah. The shoreline has been identified across the Bonneville basin where it is characterized by one to three beach crests between ~ 1305 and 1309 m elevation, all overlain by deep-water marl of Lake Bonneville. It thus represents the lowest and earliest recognized shoreline of Lake Bonneville. Features of the shoreline indicate that both high wave energy and high stream sediment discharge contributed to shoreline development. Basin hypsometry did not play a role in the development of the shoreline, which must have been caused by a combination of climatically driven hydrologic and storm factors, such as reduced precipitation that stabilized lake level and increase in storm-driven wave energy. The Pilot Valley shoreline is poorly dated at about 30 ka. If it is somewhat older, correlation with Greenland Interstadial 5.1 at 30.8–30.6 ka could explain the stabilization of lake level.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in Earth Surface Processes 20","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/B978-0-444-63590-7.00003-2","usgsCitation":"Miller, D., and Phelps, G., 2016, The Pilot Valley shoreline: An early record of Lake Bonneville dynamics, chap. 3 of Developments in Earth Surface Processes 20, v. 20, p. 60-74, https://doi.org/10.1016/B978-0-444-63590-7.00003-2.","productDescription":"15 p.","startPage":"60","endPage":"74","ipdsId":"IP-068696","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Nevada, Utah","otherGeospatial":"Lake Bonneville","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.141667,\n 42.041667\n ],\n [\n -111,\n 42.041667\n ],\n [\n -111,\n 37\n ],\n [\n -114.141667,\n 37\n ],\n [\n -114.141667,\n 42.041667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea8e4b062508e3c7a7b","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phelps, Geoffrey 0000-0003-1958-2736 gphelps@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-2736","contributorId":127489,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700806,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174783,"text":"70174783 - 2016 - Spectral nature of CO2 adsorption onto meteorites","interactions":[],"lastModifiedDate":"2016-09-06T13:44:47","indexId":"70174783","displayToPublicDate":"2016-07-05T18:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Spectral nature of CO2 adsorption onto meteorites","docAbstract":"Previous studies have identified carbon dioxide (CO2) on the surfaces of Jovian and Galilean satellites in regions of non-ice material that are too warm for CO2 ice to exist. CO2 ice would quickly sublimate if not retained by a less-volatile material. To ascertain what non-ice species may be responsible for stabilizing this CO2, we performed CO2 gas adsorption experiments on thirteen powdered CM, CI, and CV carbonaceous chondrite meteorites. Reflectance spectra of the ν3 feature associated with adsorbed CO2 near 4.27 μm were recorded. Results show that many meteorites adsorbed some amount of CO2, as evidenced by an absorption feature that was stable over several hours at ultra-high vacuum (UHV) and high vacuum, (1.0×10−8 and 1.0×10−7 Torr, respectively). Ivuna, the only CI chondrite studied, adsorbed significantly more CO2 than the others. We found that CO2 abundance did not vary with ‘water’ abundance, organics, or carbonates as inferred from the area of the 3-μm band, the 3.2-3.4 μm C-H feature, and the ∼3.8-μm band respectively, but did correlate with hydrous/anhydrous phyllosilicate ratios. Furthermore, we did not observe CO2 ice because the position of the CO2 feature was generally shifted 3-10 nm from that of the 4.27 μm absorption characteristic of ice. The strongest compositional relationship observed was a possible affinity of CO2 for total FeO abundance and complex clay minerals, which make up the bulk of the CI chondrite matrix. This finding implies that the most primitive refractory materials in the Solar System may also act as reservoirs of CO2, and possibly other volatiles, delivering them to parts of the Solar System where their ices would not be stable.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2016.06.020","usgsCitation":"Berlanga, G., Hibbitts, C.A., Takir, D., Dyar, D.M., and Sklute, E., 2016, Spectral nature of CO2 adsorption onto meteorites: Icarus, v. 280, p. 366-377, https://doi.org/10.1016/j.icarus.2016.06.020.","productDescription":"12 p.","startPage":"366","endPage":"377","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071808","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":325324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"280","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578a0932e4b0c1aacab7d444","contributors":{"authors":[{"text":"Berlanga, Genesis","contributorId":172920,"corporation":false,"usgs":false,"family":"Berlanga","given":"Genesis","email":"","affiliations":[{"id":7100,"text":"University of Hawai’i at Manoa, Inst. of Geophysics & Planetology","active":true,"usgs":false}],"preferred":false,"id":642610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hibbitts, Charles A","contributorId":172921,"corporation":false,"usgs":false,"family":"Hibbitts","given":"Charles","email":"","middleInitial":"A","affiliations":[{"id":27117,"text":"Johns Hopkins Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":642611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takir, Driss dtakir@usgs.gov","contributorId":152190,"corporation":false,"usgs":true,"family":"Takir","given":"Driss","email":"dtakir@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":642609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dyar, Draby M","contributorId":172922,"corporation":false,"usgs":false,"family":"Dyar","given":"Draby","email":"","middleInitial":"M","affiliations":[{"id":27118,"text":"Mount Holyoke College Department of Astronomy","active":true,"usgs":false}],"preferred":false,"id":642612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sklute, Elizabeth","contributorId":172923,"corporation":false,"usgs":false,"family":"Sklute","given":"Elizabeth","email":"","affiliations":[{"id":27118,"text":"Mount Holyoke College Department of Astronomy","active":true,"usgs":false}],"preferred":false,"id":642613,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70171333,"text":"sir20165069 - 2016 - External quality assurance project report for the National Atmospheric Deposition Program’s National Trends Network and Mercury Deposition Network, 2013–14","interactions":[],"lastModifiedDate":"2016-07-06T16:25:29","indexId":"sir20165069","displayToPublicDate":"2016-07-05T17:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5069","title":"External quality assurance project report for the National Atmospheric Deposition Program’s National Trends Network and Mercury Deposition Network, 2013–14","docAbstract":"The U.S. Geological Survey Branch of Quality Systems operated five distinct programs to provide external quality assurance monitoring for the National Atmospheric Deposition Program’s (NADP) National Trends Network and Mercury Deposition Network during 2013–14. The National Trends Network programs include (1) a field audit program to evaluate sample contamination and stability, (2) an interlaboratory comparison program to evaluate analytical laboratory performance, and (3) a colocated sampler program to evaluate bias from precipitation sampler upgrades. The Mercury Deposition Network programs include the (4) system blank program and (5) an interlaboratory comparison program. The results indicate that NADP data continue to be of sufficient quality for the analysis of spatial distributions and time trends for chemical constituents in wet deposition.
\nThe field audit program results indicate that sample contamination levels for calcium, nitrate, and sulfate continued to increase during the study period while sodium and chloride contamination decreased and magnesium, potassium, ammonium, and hydrogen-ion contamination have remained relatively constant. Analyte losses due to potential sample instability were negligible. The NADP Central Analytical Laboratory produced interlaboratory comparison results with low bias and variability compared to other domestic and international laboratories that support atmospheric deposition monitoring.
\nColocated sampler program results from dissimilar colocated collectors suggest that the retrofit of the National Trends Network with N-CON Systems precipitation collectors could cause shifts in NADP annual deposition (concentration multiplied by depth) values from +6.2 to +51 percent for ammonium, from +8.1 to +61 percent for nitrate, from 3.8 to 71 percent for sulfate, from –24 to +15 percent for hydrogenion deposition, and larger shifts (from –14 to +102 percent) for calcium, magnesium, sodium, potassium, and chloride. The N-CON Systems collector typically catches more precipitation than the NADP-approved Aerochem Metrics Model 301 collector, but it typically caught slightly less precipitation than the Aerochem Metrics collector at a wind-swept, high-altitude site during water year 2013.
\nPaired, identical OTT Pluvio-2 and ETI Noah IV rain gages were operated at the same sites. Results of the colocated rain gages indicate from 0 to 3.7 percent median absolute percent difference for weekly precipitation-depth measurements and from 0.05 to 5.6 absolute percent difference for annual total precipitation depth.
\nThe Mercury Deposition Network programs include the system blank program and an interlaboratory comparison program. System blank results indicated that maximum total mercury contamination concentrations in samples were less than the third percentile of all Mercury Deposition Network sample concentrations. The Mercury Analytical Laboratory produced chemical concentration results with low bias and variability compared with other domestic and international laboratories that support atmospheric-deposition monitoring.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165069","usgsCitation":"Wetherbee, G.A., and Martin, RoseAnn, 2016, External quality assurance project report for the National Atmospheric Deposition Program’s National Trends Network and Mercury Deposition Network, 2013–14: U.S. Geological Survey Scientific Investigations Report 2016–5069, 22 p., https://dx.doi.org/10.3133/sir20165069.","productDescription":"vi, 22 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070529","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":324394,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5069/coverthb.jpg"},{"id":324395,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5069/sir20165069.pdf","text":"Report","size":"4.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5069"}],"contact":"Chief, USGS Branch of Quality Systems
Box 25046, Mail Stop 401
Denver, CO 80225
Occupancy modeling is important for exploring species distribution patterns and for conservation monitoring. Within this framework, explicit attention is given to species detection probabilities estimated from replicate surveys to sample units. A central assumption is that replicate surveys are independent Bernoulli trials, but this assumption becomes untenable when ecologists serially deploy remote cameras and acoustic recording devices over days and weeks to survey rare and elusive animals. Proposed solutions involve modifying the detection-level component of the model (e.g., first-order Markov covariate). Evaluating whether a model sufficiently accounts for correlation is imperative, but clear guidance for practitioners is lacking. Currently, an omnibus goodnessof- fit test using a chi-square discrepancy measure on unique detection histories is available for occupancy models (MacKenzie and Bailey, Journal of Agricultural, Biological, and Environmental Statistics, 9, 2004, 300; hereafter, MacKenzie– Bailey test). We propose a join count summary measure adapted from spatial statistics to directly assess correlation after fitting a model. We motivate our work with a dataset of multinight bat call recordings from a pilot study for the North American Bat Monitoring Program. We found in simulations that our join count test was more reliable than the MacKenzie–Bailey test for detecting inadequacy of a model that assumed independence, particularly when serial correlation was low to moderate. A model that included a Markov-structured detection-level covariate produced unbiased occupancy estimates except in the presence of strong serial correlation and a revisit design consisting only of temporal replicates. When applied to two common bat species, our approach illustrates that sophisticated models do not guarantee adequate fit to real data, underscoring the importance of model assessment. Our join count test provides a widely applicable goodness-of-fit test and specifically evaluates occupancy model lack of fit related to correlation among detections within a sample unit. Our diagnostic tool is available for practitioners that serially deploy survey equipment as a way to achieve cost savings.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2292","usgsCitation":"Wright, W., Irvine, K.M., and Rodhouse, T., 2016, A goodness-of-fit test for occupancy models with correlated within-season revisits: Ecology and Evolution, v. 6, no. 15, p. 5404-5415, https://doi.org/10.1002/ece3.2292.","productDescription":"12 p.","startPage":"5404","endPage":"5415","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072344","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2292","text":"Publisher Index Page"},{"id":324896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324890,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/ece3.2292/full"}],"volume":"6","issue":"15","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-05","publicationStatus":"PW","scienceBaseUri":"5780ceaee4b0811616822292","chorus":{"doi":"10.1002/ece3.2292","url":"http://dx.doi.org/10.1002/ece3.2292","publisher":"Wiley-Blackwell","authors":"Wright Wilson J., Irvine Kathryn M., Rodhouse Thomas J.","journalName":"Ecology and Evolution","publicationDate":"7/5/2016"},"contributors":{"authors":[{"text":"Wright, Wilson","contributorId":172748,"corporation":false,"usgs":false,"family":"Wright","given":"Wilson","affiliations":[{"id":5120,"text":"Montana State University, Department of Mathematical Sciences, Bozeman, MT 59717","active":true,"usgs":false}],"preferred":false,"id":641895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":641894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodhouse, Thomas J.","contributorId":127378,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas J.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":641896,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175248,"text":"70175248 - 2016 - Preserving reptiles for research","interactions":[],"lastModifiedDate":"2016-08-16T12:11:23","indexId":"70175248","displayToPublicDate":"2016-07-05T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Preserving reptiles for research","docAbstract":"What are voucher specimens and why do we collect them? Voucher specimens are animals and/or their parts that are deposited in a research museum to document the occurrence of a taxon at a specific location in space and time (Pleijel et al., 2008; Reynolds and McDiarmid, 2012). For field biologists, vouchers are the repeatable element of a field study as they allow other biologists, now and in the future, to confirm the identity of species that were studied. The scientific importance of a voucher specimen or series of specimens is that other people are afforded the opportunity to examine the entire animal and confirm or correct identifications. A photographic record is somewhat useful for recording the occurrence of a species, but such records can be insufficient for reliable confirmation of specific identity. Even if a photo shows diagnostic characters of currently recognized taxa, it may not show characters that separate taxa that may be described in the future. Substantial cryptic biodiversity is being found in even relatively well-known herpetofaunas (Crawford et al., 2010), and specimens allow researchers to retroactively evaluate the true diversity in a study as understanding of taxonomy evolves. They enable biologists to study the systematic relationships of populations by quantifying variation in different traits. Specimens are also a source of biological data such as behaviour, ecology, epidemiology, and reproduction through examination of their anatomy, reproductive and digestive tracts, and parasites (Suarez and Tsutsui, 2004). Preserving reptiles as vouchers is not difficult, although doing it properly requires care, effort, and time. Poorly preserved vouchers can invalidate the results and conclusions of your study because of the inability to confirm the identity of your study animals. Good science requires repeatability of observations, and the absence of vouchers or poorly preserved ones prevents such confirmation. Due to space restrictions, we are unable to go into as much detail as we would like in this chapter. A number of publications give more details on some topics discussed in this chapter, such as Pisani (1973), Pisani and Villa (1974), Etheridge (1996), Karns (1986), McDiarmid (1994), Cortez et al. (2006), Foster (2012) (and subchapters therein), Reynolds and McDiarmid (2012), and Simmons (2015). Although some of these works focus on amphibians, they also apply to reptiles in many aspects.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reptile ecology and conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","isbn":"9780198726142","usgsCitation":"Gotte, S.W., Jacobs, J.F., and Zug, G.R., 2016, Preserving reptiles for research, chap. of Reptile ecology and conservation, p. 73-86.","productDescription":"14 p.","startPage":"73","endPage":"86","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066992","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":326084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326018,"type":{"id":15,"text":"Index Page"},"url":"https://global.oup.com/academic/product/reptile-ecology-and-conservation-9780198726142"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315cee4b006cb45558b71","contributors":{"editors":[{"text":"Dodd, C. Kenneth","contributorId":55550,"corporation":false,"usgs":true,"family":"Dodd","given":"C. Kenneth","affiliations":[],"preferred":false,"id":645593,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Gotte, Steve W. 0000-0001-5509-4495 sgotte@usgs.gov","orcid":"https://orcid.org/0000-0001-5509-4495","contributorId":4481,"corporation":false,"usgs":true,"family":"Gotte","given":"Steve","email":"sgotte@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":644530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobs, Jeremy F.","contributorId":41130,"corporation":false,"usgs":true,"family":"Jacobs","given":"Jeremy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":644531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zug, George R.","contributorId":76874,"corporation":false,"usgs":true,"family":"Zug","given":"George","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":644532,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70182780,"text":"70182780 - 2016 - Adverse reproductive and developmental health outcomes following prenatal exposure to a 2 hydraulic fracturing chemical mixture in female C57Bl/6 mice","interactions":[],"lastModifiedDate":"2018-08-08T10:19:56","indexId":"70182780","displayToPublicDate":"2016-07-05T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1504,"text":"Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Adverse reproductive and developmental health outcomes following prenatal exposure to a 2 hydraulic fracturing chemical mixture in female C57Bl/6 mice","docAbstract":"Unconventional oil and gas operations using hydraulic fracturing can contaminate surface and groundwater with endocrine-disrupting chemicals. We have previously shown that 23 of 24 commonly used hydraulic fracturing chemicals can activate or inhibit the estrogen, androgen, glucocorticoid, progesterone, and/or thyroid receptors in a human endometrial cancer cell reporter gene assay and that mixtures can behave synergistically, additively, or antagonistically on these receptors. In the current study, pregnant female C57Bl/6 dams were exposed to a mixture of 23 commonly used unconventional oil and gas chemicals at approximately 3, 30, 300, and 3000 μg/kg·d, flutamide at 50 mg/kg·d, or a 0.2% ethanol control vehicle via their drinking water from gestational day 11 through birth. This prenatal exposure to oil and gas operation chemicals suppressed pituitary hormone concentrations across experimental groups (prolactin, LH, FSH, and others), increased body weights, altered uterine and ovary weights, increased heart weights and collagen deposition, disrupted folliculogenesis, and other adverse health effects. This work suggests potential adverse developmental and reproductive health outcomes in humans and animals exposed to these oil and gas operation chemicals, with adverse outcomes observed even in the lowest dose group tested, equivalent to concentrations reported in drinking water sources. These endpoints suggest potential impacts on fertility, as previously observed in the male siblings, which require careful assessment in future studies. - See more at: http://press.endocrine.org/doi/10.1210/en.2016-1242#sthash.9kqfLvXg.dpuf
","language":"English","publisher":"Oxford Academic","doi":"10.1210/en.2016-1242","usgsCitation":"Kassotis, C.D., Bromfield, J.J., Klemp, K.C., Meng, C., Wolfe, A.R., Zoeller, T., Balise, V.D., Isiguzo, C.J., Tillitt, D.E., and Nagel, S.C., 2016, Adverse reproductive and developmental health outcomes following prenatal exposure to a 2 hydraulic fracturing chemical mixture in female C57Bl/6 mice: Endocrinology, v. 157, no. 9, p. 3469-3481, https://doi.org/10.1210/en.2016-1242.","productDescription":"13 p.","startPage":"3469","endPage":"3481","ipdsId":"IP-075315","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":470770,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1210/en.2016-1242","text":"Publisher Index Page"},{"id":336742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"157","issue":"9","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-05","publicationStatus":"PW","scienceBaseUri":"58b7eba7e4b01ccd5500bb19","contributors":{"authors":[{"text":"Kassotis, Christopher D.","contributorId":184181,"corporation":false,"usgs":false,"family":"Kassotis","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":673726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bromfield, John J.","contributorId":184182,"corporation":false,"usgs":false,"family":"Bromfield","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":673727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klemp, Kara C.","contributorId":150701,"corporation":false,"usgs":false,"family":"Klemp","given":"Kara","email":"","middleInitial":"C.","affiliations":[{"id":18070,"text":"Department of Obstetrics, Gynecology and Women’s Health, University of Missouri, Columbia, MO 65211","active":true,"usgs":false}],"preferred":false,"id":673728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meng, Chun-Xia","contributorId":150780,"corporation":false,"usgs":false,"family":"Meng","given":"Chun-Xia","email":"","affiliations":[],"preferred":false,"id":673729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolfe, Andrew R.","contributorId":184183,"corporation":false,"usgs":false,"family":"Wolfe","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":673730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zoeller, Thomas","contributorId":184184,"corporation":false,"usgs":false,"family":"Zoeller","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":673731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Balise, Victoria D.","contributorId":150705,"corporation":false,"usgs":false,"family":"Balise","given":"Victoria","email":"","middleInitial":"D.","affiliations":[{"id":18070,"text":"Department of Obstetrics, Gynecology and Women’s Health, University of Missouri, Columbia, MO 65211","active":true,"usgs":false}],"preferred":false,"id":673732,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Isiguzo, Chiamaka J.","contributorId":150706,"corporation":false,"usgs":false,"family":"Isiguzo","given":"Chiamaka","email":"","middleInitial":"J.","affiliations":[{"id":18070,"text":"Department of Obstetrics, Gynecology and Women’s Health, University of Missouri, Columbia, MO 65211","active":true,"usgs":false}],"preferred":false,"id":673733,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":673725,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nagel, Susan C.","contributorId":184185,"corporation":false,"usgs":false,"family":"Nagel","given":"Susan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":673734,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70175341,"text":"70175341 - 2016 - Experimental whole-lake increase of dissolved organic carbon concentration produces unexpected increase in crustacean zooplankton density","interactions":[],"lastModifiedDate":"2016-08-05T12:23:58","indexId":"70175341","displayToPublicDate":"2016-07-04T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Experimental whole-lake increase of dissolved organic carbon concentration produces unexpected increase in crustacean zooplankton density","docAbstract":"The observed pattern of lake browning, or increased terrestrial dissolved organic carbon (DOC) concentration, across the northern hemisphere has amplified the importance of understanding how consumer productivity varies with DOC concentration. Results from comparative studies suggest these increased DOC concentrations may reduce crustacean zooplankton productivity due to reductions in resource quality and volume of suitable habitat. Although these spatial comparisons provide an expectation for the response of zooplankton productivity as DOC concentration increases, we still have an incomplete understanding of how zooplankton respond to temporal increases in DOC concentration within a single system. As such, we used a whole-lake manipulation, in which DOC concentration was increased from 8 to 11 mg L−1 in one basin of a manipulated lake, to test the hypothesis that crustacean zooplankton production should subsequently decrease. In contrast to the spatially derived expectation of sharp DOC-mediated decline, we observed a small increase in zooplankton densities in response to our experimental increase in DOC concentration of the treatment basin. This was due to significant increases in gross primary production and resource quality (lower seston carbon-to-phosphorus ratio; C:P). These results demonstrate that temporal changes in lake characteristics due to increased DOC may impact zooplankton in ways that differ from those observed in spatial surveys. We also identified significant interannual variability across our study region, which highlights potential difficulty in detecting temporal responses of organism abundances to gradual environmental change (e.g., browning).
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13260","collaboration":"Notre Dame University, McGill University","usgsCitation":"Kelly, P., Craig, N., Solomon, C.T., Weidel, B., Zwart, J., and Jones, S., 2016, Experimental whole-lake increase of dissolved organic carbon concentration produces unexpected increase in crustacean zooplankton density: Global Change Biology, v. 22, no. 8, p. 2766-2775, https://doi.org/10.1111/gcb.13260.","productDescription":"9 p.","startPage":"2766","endPage":"2775","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068467","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Long Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.43360900878906,\n 45.1907479300741\n ],\n [\n -83.44528198242188,\n 45.19195769867925\n ],\n [\n -83.44837188720702,\n 45.203812070185016\n ],\n [\n -83.45146179199219,\n 45.20889175910327\n ],\n [\n -83.46519470214844,\n 45.21542212118822\n ],\n [\n -83.47206115722656,\n 45.231623854757395\n ],\n [\n -83.49128723144531,\n 45.23911861682938\n ],\n [\n -83.51943969726562,\n 45.2398438639272\n ],\n [\n -83.5458755493164,\n 45.24105258851866\n ],\n [\n -83.5565185546875,\n 45.23452517023689\n ],\n [\n -83.55411529541016,\n 45.21832426364806\n ],\n [\n -83.52733612060547,\n 45.21808242410029\n ],\n [\n -83.5125732421875,\n 45.21977527933444\n ],\n [\n -83.50776672363281,\n 45.21711505562335\n ],\n [\n -83.4957504272461,\n 45.20840799874946\n ],\n [\n -83.48613739013672,\n 45.196796515952244\n ],\n [\n -83.47927093505858,\n 45.18687649773411\n ],\n [\n -83.45970153808594,\n 45.17453454979928\n ],\n [\n -83.44253540039062,\n 45.16170576909783\n ],\n [\n -83.42536926269531,\n 45.16025327223976\n ],\n [\n -83.41850280761719,\n 45.16775744075824\n ],\n [\n -83.4133529663086,\n 45.17453454979928\n ],\n [\n -83.4136962890625,\n 45.18711846996982\n ],\n [\n -83.43360900878906,\n 45.1907479300741\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"8","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-06","publicationStatus":"PW","scienceBaseUri":"57a5b8bbe4b0ebae89b788a6","contributors":{"authors":[{"text":"Kelly, Patrick T.","contributorId":69059,"corporation":false,"usgs":true,"family":"Kelly","given":"Patrick T.","affiliations":[],"preferred":false,"id":644780,"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":644781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":644782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":644779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":644783,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":644784,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70175393,"text":"70175393 - 2016 - Implications of climate change for wetland-dependent birds in the Prairie Pothole Region","interactions":[],"lastModifiedDate":"2017-01-03T16:15:45","indexId":"70175393","displayToPublicDate":"2016-07-04T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Implications of climate change for wetland-dependent birds in the Prairie Pothole Region","docAbstract":"The habitats and food resources required to support breeding and migrant birds dependent on North American prairie wetlands are threatened by impending climate change. The North American Prairie Pothole Region (PPR) hosts nearly 120 species of wetland-dependent birds representing 21 families. Strategic management requires knowledge of avian habitat requirements and assessment of species most vulnerable to future threats. We applied bioclimatic species distribution models (SDMs) to project range changes of 29 wetland-dependent bird species using ensemble modeling techniques, a large number of General Circulation Models (GCMs), and hydrological climate covariates. For the U.S. PPR, mean projected range change, expressed as a proportion of currently occupied range, was −0.31 (± 0.22 SD; range − 0.75 to 0.16), and all but two species were projected to lose habitat. Species associated with deeper water were expected to experience smaller negative impacts of climate change. The magnitude of climate change impacts was somewhat lower in this study than earlier efforts most likely due to use of different focal species, varying methodologies, different modeling decisions, or alternative GCMs. Quantification of the projected species-specific impacts of climate change using species distribution modeling offers valuable information for vulnerability assessments within the conservation planning process.
","language":"English","publisher":"Society of Wetland Scientists","publisherLocation":"McClean, VA","doi":"10.1007/s13157-016-0791-2","usgsCitation":"Steen, V., Skagen, S., and Melcher, C.P., 2016, Implications of climate change for wetland-dependent birds in the Prairie Pothole Region: Wetlands, v. 36, no. s2, p. 445-459, https://doi.org/10.1007/s13157-016-0791-2.","productDescription":"15 p.","startPage":"445","endPage":"459","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073432","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":326285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.73046875,\n 48.83579746243093\n ],\n [\n -112.3681640625,\n 48.40003249610685\n ],\n [\n -108.984375,\n 48.63290858589532\n ],\n [\n -105.6884765625,\n 48.574789910928864\n ],\n [\n -104.150390625,\n 48.45835188280866\n ],\n [\n -103.0517578125,\n 48.22467264956519\n ],\n [\n -102.48046875,\n 47.84265762816538\n ],\n [\n -101.953125,\n 47.54687159892238\n ],\n [\n -100.5029296875,\n 47.100044694025215\n ],\n [\n -100.32714843749999,\n 46.46813299215554\n ],\n [\n -100.2392578125,\n 45.82879925192134\n ],\n [\n -99.97558593749999,\n 45.02695045318546\n ],\n [\n -99.5361328125,\n 44.11914151643737\n ],\n [\n -98.26171875,\n 43.929549935614595\n ],\n [\n -97.03125,\n 43.89789239125797\n ],\n [\n -96.45996093749999,\n 44.276671273775186\n ],\n [\n -95.712890625,\n 43.866218006556394\n ],\n [\n -95.4052734375,\n 43.229195113965005\n ],\n [\n -94.921875,\n 42.68243539838623\n ],\n [\n -94.1748046875,\n 42.00032514831621\n ],\n [\n -93.6474609375,\n 41.77131167976407\n ],\n [\n -93.0322265625,\n 42.032974332441405\n ],\n [\n -92.6806640625,\n 42.94033923363181\n ],\n [\n -93.251953125,\n 43.89789239125797\n ],\n [\n -94.2626953125,\n 44.77793589631623\n ],\n [\n -95.2294921875,\n 45.521743896993634\n ],\n [\n -95.625,\n 45.67548217560647\n ],\n [\n -96.15234375,\n 47.100044694025215\n ],\n [\n -96.94335937499999,\n 48.45835188280866\n ],\n [\n -97.3828125,\n 49.095452162534826\n ],\n [\n -99.404296875,\n 50.875311142200765\n ],\n [\n -100.7666015625,\n 52.214338608258224\n ],\n [\n -102.4365234375,\n 53.35710874569601\n ],\n [\n -105.46875,\n 54.80068486732233\n ],\n [\n -108.3251953125,\n 56.24334992410525\n ],\n [\n -110.61035156249999,\n 57.16007826737998\n ],\n [\n -111.97265625,\n 57.77451753559619\n ],\n [\n -115.400390625,\n 57.088515327886505\n ],\n [\n -114.6533203125,\n 54.316523240258284\n ],\n [\n -114.5654296875,\n 51.37178037591739\n ],\n [\n -113.73046875,\n 48.83579746243093\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"s2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-04","publicationStatus":"PW","scienceBaseUri":"57aaff4ce4b05e859be0f5bf","contributors":{"authors":[{"text":"Steen, Valerie vsteen@usgs.gov","contributorId":5598,"corporation":false,"usgs":true,"family":"Steen","given":"Valerie","email":"vsteen@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skagen, Susan K. 0000-0002-6744-1244 skagens@usgs.gov","orcid":"https://orcid.org/0000-0002-6744-1244","contributorId":167829,"corporation":false,"usgs":true,"family":"Skagen","given":"Susan K.","email":"skagens@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":645032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melcher, Cynthia P. 0000-0002-8044-9689 melcherc@usgs.gov","orcid":"https://orcid.org/0000-0002-8044-9689","contributorId":5094,"corporation":false,"usgs":true,"family":"Melcher","given":"Cynthia","email":"melcherc@usgs.gov","middleInitial":"P.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645034,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174090,"text":"70174090 - 2016 - Blood selenium concentrations in female Pacific black brant molting in Arctic Alaska: Relationships with age and habitat salinity","interactions":[],"lastModifiedDate":"2018-08-07T12:24:07","indexId":"70174090","displayToPublicDate":"2016-07-02T14:30:00","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":"Blood selenium concentrations in female Pacific black brant molting in Arctic Alaska: Relationships with age and habitat salinity","docAbstract":"Blood samples collected from 81 female Pacific black brant (Branta bernicla nigricans) molting near Teshekpuk Lake, Alaska, were analyzed for selenium concentration. The concentration of selenium in blood of after second year (hatched two or more years ago) females (0.84 μg/g wet weight) was significantly greater than the concentration in second year (hatched the previous year) females (0.61 μg/g wet weight). The concentrations of selenium we found in blood of black brant were 1.5 to 2 times greater than baseline values typical of freshwater birds, but considerably lower than reported in other marine waterfowl sampled in Alaska. This finding may be attributable in part to the nearly exclusive herbivorous diet of black brant. No relationship was noted between blood selenium concentration and molting habitat salinity. We are unaware of any previous reports of blood selenium concentrations in black brant.
","language":"English","publisher":"International Conference on the Environmental Management of Enclosed Coastal Seas","publisherLocation":"London","doi":"10.1016/j.marpolbul.2016.06.110","usgsCitation":"Franson, J., Flint, P.L., and Schmutz, J.A., 2016, Blood selenium concentrations in female Pacific black brant molting in Arctic Alaska: Relationships with age and habitat salinity: Marine Pollution Bulletin, v. 111, no. 1-2, p. 453-455, https://doi.org/10.1016/j.marpolbul.2016.06.110.","productDescription":"3 p.","startPage":"453","endPage":"455","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-076976","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":470771,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpolbul.2016.06.110","text":"Publisher Index Page"},{"id":325933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"111","issue":"1-2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a1c42de4b006cb45552bf7","chorus":{"doi":"10.1016/j.marpolbul.2016.06.110","url":"http://dx.doi.org/10.1016/j.marpolbul.2016.06.110","publisher":"Elsevier BV","authors":"Franson J. Christian, Flint Paul L., Schmutz Joel A.","journalName":"Marine Pollution Bulletin","publicationDate":"10/2016"},"contributors":{"authors":[{"text":"Franson, J. Christian jfranson@usgs.gov","contributorId":149318,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","email":"jfranson@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":640949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":640950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":640951,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175366,"text":"70175366 - 2016 - Extraordinary sediment delivery and rapid geomorphic response following the 2008–2009 eruption of Chaitén Volcano, Chile","interactions":[],"lastModifiedDate":"2019-12-14T07:00:15","indexId":"70175366","displayToPublicDate":"2016-07-02T09:15:00","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":"Extraordinary sediment delivery and rapid geomorphic response following the 2008–2009 eruption of Chaitén Volcano, Chile","docAbstract":"The 10 day explosive phase of the 2008–2009 eruption of Chaitén volcano, Chile, draped adjacent watersheds with a few cm to >1 m of tephra. Subsequent lava-dome collapses generated pyroclastic flows that delivered additional sediment. During the waning phase of explosive activity, modest rainfall triggered an extraordinary sediment flush which swiftly aggraded multiple channels by many meters. Ten kilometer from the volcano, Chaitén River channel aggraded 7 m and the river avulsed through a coastal town. That aggradation and delta growth below the abandoned and avulsed channels allow estimates of postdisturbance traction-load transport rate. On the basis of preeruption bathymetry and remotely sensed measurements of delta-surface growth, we derived a time series of delta volume. The initial flush from 11 to 14 May 2008 deposited 0.5–1.5 × 106 m3 of sediment at the mouth of Chaitén River. By 26 May, after channel avulsion, a second delta amassed about 2 × 106 m3 of sediment; by late 2011 it amassed about 11 × 106 m3. Accumulated sediment consists of low-density vesicular pumice and lithic rhyolite sand. Rates of channel aggradation and delta growth, channel width, and an assumed deposit bulk density of 1100–1500 kg m−3 indicate mean traction-load transport rate just before and shortly after avulsion (∼14–15 May) was very high, possibly as great as several tens of kg s−1 m−1. From October 2008 to December 2011, mean traction-load transport rate declined from about 7 to 0.4 kg−1 m−1. Despite extraordinary sediment delivery, disturbed channels recovered rapidly (a few years).
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015WR018250","usgsCitation":"Major, J.J., Bertin, D., Pierson, T.C., Amigo, A., Iroume, A., Ulloa, H., and Castro, J.M., 2016, Extraordinary sediment delivery and rapid geomorphic response following the 2008–2009 eruption of Chaitén Volcano, Chile: Water Resources Research, v. 52, no. 7, p. 5075-5094, https://doi.org/10.1002/2015WR018250.","productDescription":"20 p.","startPage":"5075","endPage":"5094","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070007","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":486951,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3232007","text":"External Repository"},{"id":326192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Chaitén Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.15771484375,\n -43.91372326852401\n ],\n [\n -71.34521484375,\n -43.91372326852401\n ],\n [\n -71.34521484375,\n -40.76390128094587\n ],\n [\n -74.15771484375,\n -40.76390128094587\n ],\n [\n -74.15771484375,\n -43.91372326852401\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-02","publicationStatus":"PW","scienceBaseUri":"57a9ad50e4b05e859bdfb93c","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":644933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertin, Daniel","contributorId":173512,"corporation":false,"usgs":false,"family":"Bertin","given":"Daniel","email":"","affiliations":[{"id":27236,"text":"SERNAGEOMIN","active":true,"usgs":false}],"preferred":false,"id":644934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierson, Thomas C. 0000-0001-9002-4273 tpierson@usgs.gov","orcid":"https://orcid.org/0000-0001-9002-4273","contributorId":2498,"corporation":false,"usgs":true,"family":"Pierson","given":"Thomas","email":"tpierson@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":644935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amigo, Alvaro","contributorId":173513,"corporation":false,"usgs":false,"family":"Amigo","given":"Alvaro","affiliations":[{"id":27236,"text":"SERNAGEOMIN","active":true,"usgs":false}],"preferred":false,"id":644936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iroume, Andres","contributorId":173514,"corporation":false,"usgs":false,"family":"Iroume","given":"Andres","email":"","affiliations":[{"id":27237,"text":"University Austral de Chile","active":true,"usgs":false}],"preferred":false,"id":644937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ulloa, Hector","contributorId":173515,"corporation":false,"usgs":false,"family":"Ulloa","given":"Hector","email":"","affiliations":[{"id":27237,"text":"University Austral de Chile","active":true,"usgs":false}],"preferred":false,"id":644938,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castro, Jonathan M.","contributorId":45198,"corporation":false,"usgs":true,"family":"Castro","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":644939,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199855,"text":"70199855 - 2016 - A framework for effective use of hydroclimate models in climate-change adaptation planning for managed habitats with limited hydrologic response data","interactions":[],"lastModifiedDate":"2018-10-01T15:34:04","indexId":"70199855","displayToPublicDate":"2016-07-01T15:33:56","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A framework for effective use of hydroclimate models in climate-change adaptation planning for managed habitats with limited hydrologic response data","docAbstract":"Climate-change adaptation planning for managed wetlands is challenging under uncertain futures when the impact of historic climate variability on wetland response is unquantified. We assessed vulnerability of Modoc National Wildlife Refuge (MNWR) through use of the Basin Characterization Model (BCM) landscape hydrology model, and six global climate models, representing projected wetter and drier conditions. We further developed a conceptual model that provides greater value for water managers by incorporating the BCM outputs into a conceptual framework that links modeled parameters to refuge management outcomes. This framework was used to identify landscape hydrology parameters that reflect refuge sensitivity to changes in (1) climatic water deficit (CWD) and recharge, and (2) the magnitude, timing, and frequency of water inputs. BCM outputs were developed for 1981–2100 to assess changes and forecast the probability of experiencing wet and dry water year types that have historically resulted in challenging conditions for refuge habitat management. We used a Yule’s Q skill score to estimate the probability of modeled discharge that best represents historic water year types. CWD increased in all models across 72.3–100 % of the water supply basin by 2100. Earlier timing in discharge, greater cool season discharge, and lesser irrigation season water supply were predicted by most models. Under the worst-case scenario, moderately dry years increased from 10–20 to 40–60 % by 2100. MNWR could adapt by storing additional water during the cool season for later use and prioritizing irrigation of habitats during dry years.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-015-0569-y","usgsCitation":"Esralew, R.A., Flint, L.E., Thorne, J.H., Boynton, R., and Flint, A.L., 2016, A framework for effective use of hydroclimate models in climate-change adaptation planning for managed habitats with limited hydrologic response data: Environmental Management, v. 58, no. 1, p. 60-75, https://doi.org/10.1007/s00267-015-0569-y.","productDescription":"16 p.","startPage":"60","endPage":"75","ipdsId":"IP-077879","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470772,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-015-0569-y","text":"Publisher Index Page"},{"id":357987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Alturas","otherGeospatial":"Modoc National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.64498901367186,\n 41.376808565702355\n ],\n [\n -120.4314422607422,\n 41.376808565702355\n ],\n [\n -120.4314422607422,\n 41.534796133205184\n ],\n [\n -120.64498901367186,\n 41.534796133205184\n ],\n [\n -120.64498901367186,\n 41.376808565702355\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-04","publicationStatus":"PW","scienceBaseUri":"5bc03300e4b0fc368eb53a76","contributors":{"authors":[{"text":"Esralew, Rachel A.","contributorId":104862,"corporation":false,"usgs":true,"family":"Esralew","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":746916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, James H.","contributorId":139144,"corporation":false,"usgs":false,"family":"Thorne","given":"James","email":"","middleInitial":"H.","affiliations":[{"id":12659,"text":"U C Davis","active":true,"usgs":false}],"preferred":false,"id":746917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boynton, Ryan","contributorId":36403,"corporation":false,"usgs":true,"family":"Boynton","given":"Ryan","affiliations":[],"preferred":false,"id":746918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":746919,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175099,"text":"70175099 - 2016 - Hepatic insulin-like growth-factor binding protein (igfbp) responses tofood restriction in Atlantic salmon smolts","interactions":[],"lastModifiedDate":"2016-07-29T15:25:36","indexId":"70175099","displayToPublicDate":"2016-07-01T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Hepatic insulin-like growth-factor binding protein (igfbp) responses tofood restriction in Atlantic salmon smolts","docAbstract":"The growth hormone (Gh)/insulin-like growth-factor (Igf) system plays a central role in the regulation of growth in fishes. However, the roles of Igf binding proteins (Igfbps) in coordinating responses to food availability are unresolved, especially in anadromous fishes preparing for seaward migration. We assayed plasma Gh, Igf1, thyroid hormones and cortisol along with igfbp mRNA levels in fasted and fed Atlantic salmon ( Salmo salar ). Fish were fasted for 3 or 10 days near the peak of smoltification (late April to early May). Fasting reduced plasma glucose by 3 days and condition factor by 10 days. Plasma Gh, cortisol, and thyroxine (T 4 ) were not altered in response to fasting, whereas Igf1 and 3,5,3′-triiodo- l -thyronine (T 3 ) were slightly higher and lower than controls, respectively. Hepatic igfbp1b1 , - 1b2 , - 2a , - 2b1 and - 2b2 mRNA levels were not responsive to fasting, but there were marked increases in igfbp1a1 following 3 and 10 days of fasting. Fasting did not alter hepatic igf1or igf2 ; however, muscle igf1 was diminished by 10 days of fasting. There were no signs that fasting compromised branchial ionoregulatory functions, as indicated by unchanged Na + /K + -ATPase activity and ion pump/transporter mRNA levels. We conclude that dynamic hepatic igfbp1a1 and muscle igf1 expression participate in the modulation of Gh/Igf signaling in smolts undergoing catabolism.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ygcen.2016.05.015","usgsCitation":"Breves, J.P., Phipps-Costin, S.K., Fujimoto, C.K., Einarsdottir, I.E., Regish, A.M., Björnsson, B., and McCormick, S.D., 2016, Hepatic insulin-like growth-factor binding protein (igfbp) responses tofood restriction in Atlantic salmon smolts: General and Comparative Endocrinology, v. 233, p. 79-87, https://doi.org/10.1016/j.ygcen.2016.05.015.","productDescription":"8 p.","startPage":"79","endPage":"87","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073560","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":325843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"233","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579c7e2be4b0589fa1ca11e3","contributors":{"authors":[{"text":"Breves, Jason P.","contributorId":6349,"corporation":false,"usgs":false,"family":"Breves","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":643907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phipps-Costin, Silas K.","contributorId":173272,"corporation":false,"usgs":false,"family":"Phipps-Costin","given":"Silas","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":644027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujimoto, Chelsea K.","contributorId":173273,"corporation":false,"usgs":false,"family":"Fujimoto","given":"Chelsea","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":644028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Einarsdottir, Ingibjorg E.","contributorId":173274,"corporation":false,"usgs":false,"family":"Einarsdottir","given":"Ingibjorg","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":644029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regish, Amy M. 0000-0003-4747-4265 aregish@usgs.gov","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":5415,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"aregish@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":644030,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Björnsson, Björn Thrandur","contributorId":58887,"corporation":false,"usgs":true,"family":"Björnsson","given":"Björn Thrandur","affiliations":[],"preferred":false,"id":644031,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":643906,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70171019,"text":"70171019 - 2016 - Anadromous salmonids in the Delta: New science 2006–2016","interactions":[],"lastModifiedDate":"2018-09-25T11:05:20","indexId":"70171019","displayToPublicDate":"2016-07-01T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Anadromous salmonids in the Delta: New science 2006–2016","docAbstract":"As juvenile salmon enter the Sacramento–SanJoaquin River Delta (“the Delta”) they disperse among its complex channel network where they are subject to channel-specific processes that affect their rate of migration, vulnerability to predation, feeding success, growth rates, and ultimately, survival. In the decades before 2006, tools available to quantify growth, dispersal, and survival of juvenile salmon in this complex channel network were limited.Fortunately, thanks to technological advances such as acoustic telemetry and chemical and structural otolith analysis, much has been learned over the past decade about the role of the Delta in the life cycle of juvenile salmon. Here, we review new science between 2006and 2016 that sheds light on how different life stages and runs of juvenile salmon grow, move, and survive in the complex channel network of the Delta. One of the most important advances during the past decade has been the widespread adoption of acoustic telemetry techniques. Use of telemetry has shed light on how survival varies among alternative migration routes and the proportion of fish that use each migration route. Chemical and structural analysis of otoliths has provided insights about when juveniles left their natal river and provided evidence of extended rearing in the brackish or saltwater regions of the Delta. New advancements in genetics now allow individuals captured by trawls to be assigned to specific runs. Detailed information about movement and survival in the Delta has spurred development of agent-based models of juvenile salmon that are coupled to hydrodynamic models. Although much has been learned, knowledge gaps remain about how very small juvenile salmon (fry and parr) use the Delta. Understanding how all life stages of juvenile salmon grow, rear, and survive in the Delta is critical for devising management strategies that support a diversity of life history strategies.
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