Groundwater connections from upland-embedded wetlands to downstream waterbodies remain poorly understood. In principle, water from upland-embedded wetlands situated high in a landscape should flow via groundwater to waterbodies situated lower in the landscape. However, the degree of groundwater connectivity varies across systems due to factors such as geologic setting, hydrologic conditions, and topography. We use numerical models to evaluate the conditions suitable for groundwater connectivity between upland-embedded wetlands and downstream waterbodies in the prairie pothole region of North Dakota (USA). Results show groundwater connectivity between upland-embedded wetlands and other waterbodies is restricted when these wetlands are surrounded by a mounding water table. However, connectivity exists among adjacent upland-embedded wetlands where water–table mounds do not form. In addition, the presence of sand layers greatly facilitates groundwater connectivity of upland-embedded wetlands. Anisotropy can facilitate connectivity via groundwater flow, but only if it becomes unrealistically large. These findings help consolidate previously divergent views on the significance of local and regional groundwater flow in the prairie pothole region.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-017-0956-7","usgsCitation":"Neff, B., and Rosenberry, D.O., 2018, Groundwater connectivity of upland-embedded wetlands in the Prairie Pothole Region: Wetlands, v. 38, no. 1, p. 51-63, https://doi.org/10.1007/s13157-017-0956-7.","productDescription":"13 p.","startPage":"51","endPage":"63","ipdsId":"IP-080137","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":353281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","volume":"38","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-07","publicationStatus":"PW","scienceBaseUri":"5afee741e4b0da30c1bfc1e1","contributors":{"authors":[{"text":"Neff, Brian 0000-0003-3718-7350 bneff@usgs.gov","orcid":"https://orcid.org/0000-0003-3718-7350","contributorId":198885,"corporation":false,"usgs":true,"family":"Neff","given":"Brian","email":"bneff@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733017,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196501,"text":"70196501 - 2018 - Evidence for major input of riverine organic matter into the ocean","interactions":[],"lastModifiedDate":"2018-04-12T16:47:59","indexId":"70196501","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for major input of riverine organic matter into the ocean","docAbstract":"The changes in the structure of XAD-8 isolated dissolved organic matter (DOM) samples along a river (Penobscot River) to estuary (Penobscot Bay) to ocean (across the Gulf of Maine) transect and from the Pacific Ocean were investigated using selective and two dimensional (2D) nuclear magnetic resonance (NMR) spectroscopy coupled with elemental and carbon isotope analysis. The results provide important insights into the nature of relatively stable structures in the river-to-ocean continuum and the enigma of the fate of terrestrial DOM in the marine system. First, lignin and carboxyl-rich alicyclic molecules (CRAMs), which are indistinguishable from mass spectrometry, were clearly differentiated with NMR spectroscopy. NMR unambiguously showed that CRAMs persisted along the river-to-ocean transect and in the Pacific Ocean, while lignin residues dramatically decreased in abundance from the river to the coastal ocean and the Pacific Ocean. The results challenge a previous conclusion that lignin-derived compounds are refractory and can accumulate in the coastal ocean. The loss of terrestrial plant-derived aromatic compounds such as lignin and tannin residues throughout the sequence of riverine, coastal, and open ocean DOM extracts could also partially explain the decreasing organic carbon recovery by XAD-8 isolation and the change in carbon stable isotope composition from riverine DOM (δ13C −27.6‰) to ocean DOM (δ13C −23.0‰) extracts. The observation, from advanced NMR, of similar CRAM molecules in XAD-8 isolated DOM samples from the Penobscot River to the Penobscot Bay and from the ocean refutes a previous conclusion that XAD-isolated DOM samples from seawater and river are distinctly different. The alicyclic structural features of CRAMs and their presence as the major structural units in DOM extracts from the Penobscot River to Gulf of Maine transect, together with the deduced old 14C age of CRAMs in the ocean, imply that terrestrial CRAMs may persist on timescales long enough to be transported into the ocean.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2017.11.001","usgsCitation":"Cao, X., Aiken, G.R., Butler, K.D., Huntington, T.G., Balch, W.M., Mao, J., and Schmidt-Rohr, K., 2018, Evidence for major input of riverine organic matter into the ocean: Organic Geochemistry, v. 116, p. 62-76, https://doi.org/10.1016/j.orggeochem.2017.11.001.","productDescription":"15 p.","startPage":"62","endPage":"76","ipdsId":"IP-086193","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469060,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.orggeochem.2017.11.001","text":"Publisher Index Page"},{"id":438032,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MC8XZR","text":"USGS data release","linkHelpText":"Dissolved organic matter data in water samples from Penobscot River, Penobscot Bay, and the Gulf of Maine, 2008"},{"id":353395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71,\n 42\n ],\n [\n -64,\n 42\n ],\n [\n -64,\n 46\n ],\n [\n -71,\n 46\n ],\n [\n -71,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1dd","contributors":{"authors":[{"text":"Cao, Xiaoyan","contributorId":204169,"corporation":false,"usgs":false,"family":"Cao","given":"Xiaoyan","email":"","affiliations":[{"id":36869,"text":"Old Dominion University; Brandeis University","active":true,"usgs":false}],"preferred":false,"id":733276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butler, Kenna D. 0000-0001-9604-4603 kebutler@usgs.gov","orcid":"https://orcid.org/0000-0001-9604-4603","contributorId":178885,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balch, William M.","contributorId":204170,"corporation":false,"usgs":false,"family":"Balch","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":13692,"text":"Bigelow Laboratory for Ocean Sciences","active":true,"usgs":false}],"preferred":false,"id":733278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mao, Jingdong","contributorId":204171,"corporation":false,"usgs":false,"family":"Mao","given":"Jingdong","email":"","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":733279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt-Rohr, Klaus","contributorId":173865,"corporation":false,"usgs":false,"family":"Schmidt-Rohr","given":"Klaus","email":"","affiliations":[{"id":27307,"text":"Dept. of Chemistry, Brandeis University, Waltham, MA","active":true,"usgs":false}],"preferred":false,"id":733280,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70190516,"text":"70190516 - 2018 - Nanometre-sized pores in coal: Variations between coal basins and coal origin","interactions":[],"lastModifiedDate":"2018-03-28T14:43:46","indexId":"70190516","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Nanometre-sized pores in coal: Variations between coal basins and coal origin","docAbstract":"We have used small angle neutron scattering (SANS) to investigate the differences in methane and hexane penetration in pores in bituminous coal samples from the U.S., Canada, South Africa, and China, and maceral concentrates from Australian coals. This work is an extension of previous work that showed consistent differences between the extent of penetration by methane into 10–20 nm size pores in inertinite in bituminous coals from Australia, North America and Poland.
In this study we have confirmed that there are differences in the response of inertinite to methane and hexane penetration in coals sourced from different coal basins. Inertinite in Permian Australian coals generally has relatively high numbers of pores in the 2.5–250 nm size range and the pores are highly penetrable by methane and hexane; coals sourced from Western Canada had similar penetrability to these Australian coals. However, the penetrability of methane and hexane into inertinite from the Australian Illawarra Coal Measures (also Permian) is substantially less than that of the other Australian coals; there are about 80% fewer 12 nm pores in Illawarra inertinite compared to the other Australian coals examined. The inertinite in coals sourced from South Africa and China had accessibility intermediate between the Illawarra coals and the other Australian coals.
The extent of hexane penetration was 10–20% less than CD4 penetration into the same coal and this difference was most pronounced in the 5–50 nm pore size range. Hexane and methane penetrability into the coals showed similar trends with inertinite content.
The observed variations in inertinite porosity between coals from different coal regions and coal basins may explain why previous studies differ in their observations of the relationships between gas sorption behavior, permeability, porosity, and maceral composition. These variations are not simply a demarcation between Northern and Southern Hemisphere coals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2017.11.010","usgsCitation":"Sakurovs, R., Koval, L., Grigore, M., Sokolava, A., Ruppert, L.F., and Melnichenko, Y.B., 2018, Nanometre-sized pores in coal: Variations between coal basins and coal origin: International Journal of Coal Geology, v. 186, p. 126-134, https://doi.org/10.1016/j.coal.2017.11.010.","productDescription":"9 p.","startPage":"126","endPage":"134","ipdsId":"IP-089869","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2017.11.010","text":"Publisher Index Page"},{"id":352866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee744e4b0da30c1bfc20f","contributors":{"authors":[{"text":"Sakurovs, Richard 0000-0003-0967-6560","orcid":"https://orcid.org/0000-0003-0967-6560","contributorId":196194,"corporation":false,"usgs":false,"family":"Sakurovs","given":"Richard","email":"","affiliations":[],"preferred":false,"id":709569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koval, Lukas","contributorId":196195,"corporation":false,"usgs":false,"family":"Koval","given":"Lukas","email":"","affiliations":[],"preferred":false,"id":709570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grigore, Mihaela","contributorId":196196,"corporation":false,"usgs":false,"family":"Grigore","given":"Mihaela","email":"","affiliations":[],"preferred":false,"id":709571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sokolava, Anna","contributorId":196198,"corporation":false,"usgs":false,"family":"Sokolava","given":"Anna","email":"","affiliations":[],"preferred":false,"id":709573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":709568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melnichenko, Yuri B.","contributorId":196197,"corporation":false,"usgs":false,"family":"Melnichenko","given":"Yuri","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":709572,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195968,"text":"70195968 - 2018 - Contaminant-associated health effects in fishes from the Ottawa and Ashtabula Rivers, Ohio","interactions":[],"lastModifiedDate":"2018-03-09T15:24:42","indexId":"70195968","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Contaminant-associated health effects in fishes from the Ottawa and Ashtabula Rivers, Ohio","docAbstract":"The health of resident fishes serves as a biologically relevant barometer of aquatic ecosystem integrity. Here, the health of the Ottawa River and Ashtabula River (both within the Lake Erie Basin) were assessed using morphological and immunological biomarkers in brown bullheads (Ameiurus nebulosus) and largemouth bass (Micropterus salmoides). Biomarker metrics were compared to fish collected from a reference site (Conneaut Creek). Data utilized for analyses were collected between 2003 and 2011. Fish collected from all three river systems had markedly different contaminant profiles. Total PCBs were the dominant contaminant class by mass. In bullhead, PCBs were highest in fish from the Ashtabula River and there were no differences in fish collected pre- or post-remediation of Ashtabula Harbor (median = 4.6 and 5.5 mg/kg respectively). Excluding PCBs, the Ottawa River was dominated by organochlorine pesticides. Liver tumor prevalence exceeded the 5% trigger level at both the Ashtabula (7.7%) and Ottawa Rivers (10.2%), but was not statistically different than that at the reference site. There was no statistically significant association between microscopic lesions, gross pathology and contaminant body burdens. Collectively, contaminant body burdens were generally negatively correlated with functional immune responses including bactericidal, cytotoxic-cell and respiratory burst activity in both species. Exceptions were positive correlations of HCB and heptachlor epoxide with respiratory burst activity in largemouth bass, and HCB with respiratory burst activity in bullhead and ΣBHC for all three functional assays in bullhead. Data here provide additional support that organochlorine contamination is associated with immunomodulation, and that species differences exist within sites.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.11.010","usgsCitation":"Iwanowicz, L.R., Blazer, V., Walsh, H.L., Shaw, C.H., DeVault, D.S., and Banda, J.A., 2018, Contaminant-associated health effects in fishes from the Ottawa and Ashtabula Rivers, Ohio: Journal of Great Lakes Research, v. 44, no. 1, p. 184-196, https://doi.org/10.1016/j.jglr.2017.11.010.","productDescription":"13 p.","startPage":"184","endPage":"196","ipdsId":"IP-074666","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.11.010","text":"Publisher Index Page"},{"id":352383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.8751220703125,\n 41.21585377825921\n ],\n [\n -79.727783203125,\n 41.21585377825921\n ],\n [\n -79.727783203125,\n 42.90011265525328\n ],\n [\n -83.8751220703125,\n 42.90011265525328\n ],\n [\n -83.8751220703125,\n 41.21585377825921\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee742e4b0da30c1bfc1f3","contributors":{"authors":[{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaw, Cassidy H. 0000-0003-2639-1241","orcid":"https://orcid.org/0000-0003-2639-1241","contributorId":203239,"corporation":false,"usgs":false,"family":"Shaw","given":"Cassidy","email":"","middleInitial":"H.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":730729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeVault, David S.","contributorId":203240,"corporation":false,"usgs":false,"family":"DeVault","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":730730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Banda, Jo A.","contributorId":196761,"corporation":false,"usgs":false,"family":"Banda","given":"Jo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730731,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195668,"text":"70195668 - 2018 - Irregular focal mechanisms observed at Salton Sea Geothermal Field: Possible influences of anthropogenic stress perturbations","interactions":[],"lastModifiedDate":"2018-02-27T11:30:49","indexId":"70195668","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Irregular focal mechanisms observed at Salton Sea Geothermal Field: Possible influences of anthropogenic stress perturbations","docAbstract":"At the Salton Sea Geothermal Field (SSGF), strain accumulation is released through seismic slip and aseismic deformation. Earthquake activity at the SSGF often occurs in swarm-like clusters, some with clear migration patterns. We have identified an earthquake sequence composed entirely of focal mechanisms representing an ambiguous style of faulting, where strikes are similar but deformation occurs due to steeply-dipping normal faults with varied stress states. In order to more accurately determine the style of faulting for these events, we revisit the original waveforms and refine estimates of P and S wave arrival times and displacement amplitudes. We calculate the acceptable focal plane solutions using P-wave polarities and S/P amplitude ratios, and determine the preferred fault plane. Without constraints on local variations in stress, found by inverting the full earthquake catalog, it is difficult to explain the occurrence of such events using standard fault-mechanics and friction. Comparing these variations with the expected poroelastic effects from local production and injection of geothermal fluids suggests that anthropogenic activity could affect the style of faulting.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, 43rd Workshop on Geothermal Reservoir Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"43rd Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 12-14, 2018","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford University","usgsCitation":"Crandall-Bear, A., Barbour, A., and Schoenball, M., 2018, Irregular focal mechanisms observed at Salton Sea Geothermal Field: Possible influences of anthropogenic stress perturbations, in Proceedings, 43rd Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 12-14, 2018, 11 p.","productDescription":"11 p.","ipdsId":"IP-094580","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":352070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352069,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/GeoConf/Abstract.php?PaperID=3863"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee742e4b0da30c1bfc1f9","contributors":{"editors":[{"text":"Schoenball, Martin","contributorId":194237,"corporation":false,"usgs":false,"family":"Schoenball","given":"Martin","affiliations":[],"preferred":false,"id":729615,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Crandall-Bear, Aren","contributorId":202788,"corporation":false,"usgs":true,"family":"Crandall-Bear","given":"Aren","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":729614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":140443,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew J.","email":"abarbour@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":729613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenball, Martin mschoenball@usgs.gov","contributorId":5760,"corporation":false,"usgs":true,"family":"Schoenball","given":"Martin","email":"mschoenball@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":729713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197459,"text":"70197459 - 2018 - Response to Lisovski et al.","interactions":[],"lastModifiedDate":"2018-06-05T14:14:50","indexId":"70197459","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1352,"text":"Current Biology","active":true,"publicationSubtype":{"id":10}},"title":"Response to Lisovski et al.","docAbstract":"Lisovski et al. [1] describe the widely recognized limitations of light-level geolocator data for identifying short-distance latitudinal movements, recommend that caution be used when interpreting such data, intimated that we did not use such caution and argued that environmental shading likely explained the Golden-winged Warbler (Vermivora chrysoptera) movements described in our 2015 report [2] . Lisovski et al. [1] conclude that the bird movements we reported could not be disentangled from estimation error in stationary animals caused by environmental shading. We argue that, to the contrary, these hypotheses can easily be disentangled because the premise that environmental shading caused synchronous and parallel error among geolocators is false. With their assertion that our location estimates could be biased by >3,500 km on a day with no observable local sources of shading, Lisovski et al. [1] have taken a position of incredulity toward all geolocator-based animal movement data published to date.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cub.2017.12.025","usgsCitation":"Streby, H.M., Kramer, G.R., Peterson, S.M., Lehman, J.A., Buehler, D.A., and Andersen, D.E., 2018, Response to Lisovski et al.: Current Biology, v. 28, no. 3, p. R101-R102, https://doi.org/10.1016/j.cub.2017.12.025.","productDescription":"2 p.","startPage":"R101","endPage":"R102","ipdsId":"IP-092344","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469069,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cub.2017.12.025","text":"Publisher Index Page"},{"id":354727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e5d4e4b060350a15d222","contributors":{"authors":[{"text":"Streby, Henry M.","contributorId":11024,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":737286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kramer, Gunnar R.","contributorId":94184,"corporation":false,"usgs":false,"family":"Kramer","given":"Gunnar","email":"","middleInitial":"R.","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":737287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Sean M.","contributorId":9354,"corporation":false,"usgs":false,"family":"Peterson","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":737288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehman, Justin A.","contributorId":166944,"corporation":false,"usgs":false,"family":"Lehman","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":737289,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buehler, David A.","contributorId":176238,"corporation":false,"usgs":false,"family":"Buehler","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":737290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":737241,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197414,"text":"70197414 - 2018 - Assessing the influence of multiple stressors on stream diatom metrics in the upper Midwest, USA","interactions":[],"lastModifiedDate":"2018-06-01T13:10:02","indexId":"70197414","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the influence of multiple stressors on stream diatom metrics in the upper Midwest, USA","docAbstract":"Water resource managers face increasing challenges in identifying what physical and chemical stressors are responsible for the alteration of biological conditions in streams. The objective of this study was to assess the comparative influence of multiple stressors on benthic diatoms at 98 sites that spanned a range of stressors in an agriculturally dominated region in the upper Midwest, USA. The primary stressors of interest included: nutrients, herbicides and fungicides, sediment, and streamflow; although the influence of physical habitat was incorporated in the assessment. Boosted Regression Tree was used to examine both the sensitivity of various diatom metrics and the relative importance of the primary stressors. Percent Sensitive Taxa, percent Highly Motile Taxa, and percent High Phosphorus Taxa had the strongest response to stressors. Habitat and total phosphorous were the most common discriminators of diatom metrics, with herbicides as secondary factors. A Classification and Regression Tree (CART) model was used to examine conditional relations among stressors and indicated that fine-grain streams had a lower percentage of Sensitive Taxa than coarse-grain streams, with Sensitive Taxa decreasing further with increased water temperature (>30 °C) and triazine concentrations (>1500 ng/L). In contrast, streams dominated by coarse-grain substrate contained a higher percentage of Sensitive Taxa, with relative abundance increasing with lower water temperatures (<29 °C) and shallower water depth (<0.3 m). Quantile regression indicated that maximum water temperature appears to be a major limiting factor in Midwest streams; whereas both total phosphorus and percent fines showed a slight subsidy-stress response. While using benthic algae for assessing stream quality can be challenging, field-based studies can elucidate stressor effects and interactions when the response variables are appropriate, sufficient stressor resolution is achieved, and the number and type of sites represent a gradient of stressor conditions and at least a quasi-factorial design.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2017.09.005","usgsCitation":"Munn, M., Waite, I.R., and Konrad, C.P., 2018, Assessing the influence of multiple stressors on stream diatom metrics in the upper Midwest, USA: Ecological Indicators, v. 85, p. 1239-1248, https://doi.org/10.1016/j.ecolind.2017.09.005.","productDescription":"10 p.","startPage":"1239","endPage":"1248","ipdsId":"IP-081927","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":469080,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2017.09.005","text":"Publisher Index Page"},{"id":438041,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7513X35","text":"USGS data release","linkHelpText":"Data on Midwest stream diatom and stressors, 2013"},{"id":354670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100,\n 36.5\n ],\n [\n -81,\n 36.5\n ],\n [\n -81,\n 45\n ],\n [\n -100,\n 45\n ],\n [\n -100,\n 36.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155dade4b092d9651e1b7b","contributors":{"authors":[{"text":"Munn, Mark D. 0000-0002-7154-7252","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":205360,"corporation":false,"usgs":true,"family":"Munn","given":"Mark D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197205,"text":"70197205 - 2018 - Attributes of seasonal home range influence choice of migratory strategy in white-tailed deer","interactions":[],"lastModifiedDate":"2018-05-22T16:36:46","indexId":"70197205","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Attributes of seasonal home range influence choice of migratory strategy in white-tailed deer","docAbstract":"Partial migration is a common life-history strategy among ungulates living in seasonal environments. The decision to migrate or remain on a seasonal range may be influenced strongly by access to high-quality habitat. We evaluated the influence of access to winter habitat of high quality on the probability of a female white-tailed deer (Odocoileus virginianus) migrating to a separate summer range and the effects of this decision on survival. We hypothesized that deer with home ranges of low quality in winter would have a high probability of migrating, and that survival of an individual in winter would be influenced by the quality of their home range in winter. We radiocollared 67 female white-tailed deer in 2012 and 2013 in eastern Washington, United States. We estimated home range size in winter using a kernel density estimator; we assumed the size of the home range was inversely proportional to its quality and the proportion of crop land within the home range was proportional to its quality. Odds of migrating from winter ranges increased by 3.1 per unit increase in home range size and decreased by 0.29 per unit increase in the proportion of crop land within a home range. Annual survival rate for migrants was 0.85 (SD = 0.05) and 0.84 (SD = 0.09) for residents. Our finding that an individual with a low-quality home range in winter is likely to migrate to a separate summer range accords with the hypothesis that competition for a limited amount of home ranges of high quality should result in residents having home ranges of higher quality than migrants in populations experiencing density dependence. We hypothesize that density-dependent competition for high-quality home ranges in winter may play a leading role in the selection of migration strategy by female white-tailed deer.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyx148","usgsCitation":"Henderson, C.R., Mitchell, M.S., Myers, W.L., Lukacs, P.M., and Nelson, G.P., 2018, Attributes of seasonal home range influence choice of migratory strategy in white-tailed deer: Journal of Mammalogy, v. 99, no. 1, p. 89-96, https://doi.org/10.1093/jmammal/gyx148.","productDescription":"8 p.","startPage":"89","endPage":"96","ipdsId":"IP-076163","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyx148","text":"Publisher Index Page"},{"id":354400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5b155db9e4b092d9651e1b81","contributors":{"authors":[{"text":"Henderson, Charles R. Jr.","contributorId":205132,"corporation":false,"usgs":false,"family":"Henderson","given":"Charles","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[{"id":37028,"text":"Montana Cooperative Wildlife Research Unit, University of Montana, Natural Sciences, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":736180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":736179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myers, Woodrow L.","contributorId":200876,"corporation":false,"usgs":false,"family":"Myers","given":"Woodrow","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":736181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukacs, Paul M.","contributorId":101240,"corporation":false,"usgs":true,"family":"Lukacs","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":736232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Gerald P.","contributorId":205134,"corporation":false,"usgs":false,"family":"Nelson","given":"Gerald","email":"","middleInitial":"P.","affiliations":[{"id":37030,"text":"Wildlife Program, Washington Department of Fish and Wildlife, Olympia, WA, USA","active":true,"usgs":false}],"preferred":false,"id":736182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197549,"text":"70197549 - 2018 - Validation of ATR FT-IR to identify polymers of plastic marine debris, including those ingested by marine organisms","interactions":[],"lastModifiedDate":"2018-06-11T16:47:14","indexId":"70197549","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","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":"Validation of ATR FT-IR to identify polymers of plastic marine debris, including those ingested by marine organisms","docAbstract":"Polymer identification of plastic marine debris can help identify its sources, degradation, and fate. We optimized and validated a fast, simple, and accessible technique, attenuated total reflectance Fourier transform infrared spectroscopy (ATR FT-IR), to identify polymers contained in plastic ingested by sea turtles. Spectra of consumer good items with known resin identification codes #1–6 and several #7 plastics were compared to standard and raw manufactured polymers. High temperature size exclusion chromatography measurements confirmed ATR FT-IR could differentiate these polymers. High-density (HDPE) and low-density polyethylene (LDPE) discrimination is challenging but a clear step-by-step guide is provided that identified 78% of ingested PE samples. The optimal cleaning methods consisted of wiping ingested pieces with water or cutting. Of 828 ingested plastics pieces from 50 Pacific sea turtles, 96% were identified by ATR FT-IR as HDPE, LDPE, unknown PE, polypropylene (PP), PE and PP mixtures, polystyrene, polyvinyl chloride, and nylon.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2017.12.061","usgsCitation":"Jung, M.R., Horgen, F.D., Orski, S.V., Rodriguez, V., Beers, K.L., Balazs, G.H., Jones, T.T., Work, T.M., Brignac, K.C., Royer, S., Hyrenbach, D.K., Jensen, B.A., and Lynch, J.M., 2018, Validation of ATR FT-IR to identify polymers of plastic marine debris, including those ingested by marine organisms: Marine Pollution Bulletin, v. 127, p. 704-716, https://doi.org/10.1016/j.marpolbul.2017.12.061.","productDescription":"13 p.","startPage":"704","endPage":"716","ipdsId":"IP-093467","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469068,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13077791/","text":"Publisher Index Page"},{"id":354920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e5d4e4b060350a15d21e","contributors":{"authors":[{"text":"Jung, Melissa R.","contributorId":205513,"corporation":false,"usgs":false,"family":"Jung","given":"Melissa","email":"","middleInitial":"R.","affiliations":[{"id":37114,"text":"National Institute of Standard and","active":true,"usgs":false}],"preferred":false,"id":737620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horgen, F. 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While the evolution and underlying genetic and physiological mechanisms behind alternative reproductive tactics are well studied, there has been less consideration of the ecological factors that regulate their prevalence. Here, we examine six decades of age composition records from thirty‐six populations of sockeye salmon (Oncorhynchus nerka) to quantify associations between spawning habitat characteristics and the prevalence of precocious sneakers known as ‘jacks’. Jack prevalence was independent of neutral genetic structure among stream populations, but varied among habitat types and as a function of continuous geomorphic characteristics. Jacks were more common in streams relative to beaches and rivers, and their prevalence was negatively associated with stream width, depth, elevation, slope and area, but positively related to bank cover. Behavioural observations showed that jacks made greater use of banks, wood and shallows than guard males, indicating that their reproductive success depends on the availability of such refuges. Our results emphasize the role of the physical habitat in shaping reproductive tactic frequencies among populations, likely through local adaptation in response to variable fitness expectations under different geomorphic conditions.
","language":"English","publisher":"Wiley","doi":"10.1111/jeb.13217","usgsCitation":"DeFilippo, L., Schindler, D., Carter, J., Walsworth, T.E., Cline, T.J., Larson, W., and Buehrens, T., 2018, Associations of stream geomorphic conditions and prevalence of alternative reproductive tactics among sockeye salmon populations: Journal of Evolutionary Biology, v. 31, no. 2, p. 239-253, https://doi.org/10.1111/jeb.13217.","productDescription":"15 p.","startPage":"239","endPage":"253","ipdsId":"IP-087519","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jeb.13217","text":"Publisher Index Page"},{"id":354711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-12","publicationStatus":"PW","scienceBaseUri":"5b46e5d4e4b060350a15d224","contributors":{"authors":[{"text":"DeFilippo, L. B.","contributorId":205411,"corporation":false,"usgs":false,"family":"DeFilippo","given":"L. 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J.","contributorId":205412,"corporation":false,"usgs":false,"family":"Cline","given":"T.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":737216,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":737162,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buehrens, T.","contributorId":205413,"corporation":false,"usgs":false,"family":"Buehrens","given":"T.","email":"","affiliations":[],"preferred":false,"id":737217,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197460,"text":"70197460 - 2018 - Contaminants in tropical island streams and their biota","interactions":[],"lastModifiedDate":"2018-06-05T14:35:51","indexId":"70197460","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1561,"text":"Environmental Research","active":true,"publicationSubtype":{"id":10}},"title":"Contaminants in tropical island streams and their biota","docAbstract":"Environmental contamination is problematic for tropical islands due to their typically dense human populations and competing land and water uses. The Caribbean island of Puerto Rico (USA) has a long history of anthropogenic chemical use, and its human population density is among the highest globally, providing a model environment to study contaminant impacts on tropical island stream ecosystems. Polycyclic Aromatic Hydrocarbons, historic-use chlorinated pesticides, current-use pesticides, Polychlorinated Biphenyls (PCBs), and metals (mercury, cadmium, copper, lead, nickel, zinc, and selenium) were quantified in the habitat and biota of Puerto Rico streams and assessed in relation to land-use patterns and toxicological thresholds. Water, sediment, and native fish and shrimp species were sampled in 13 rivers spanning broad watershed land-use characteristics during 2009–2010. Contrary to expectations, freshwater stream ecosystems in Puerto Rico were not severely polluted, likely due to frequent flushing flows and reduced deposition associated with recurring flood events. Notable exceptions of contamination were nickel in sediment within three agricultural watersheds (range 123–336 ppm dry weight) and organic contaminants (PCBs, organochlorine pesticides) and mercury in urban landscapes. At an urban site, PCBs in several fish species (Mountain Mullet Agonostomus monticola [range 0.019–0.030 ppm wet weight] and American Eel Anguilla rostrata [0.019–0.031 ppm wet weight]) may pose human health hazards, with concentrations exceeding the U.S. Environmental Protection Agency (EPA) consumption limit for 1 meal/month. American Eel at the urban site also contained dieldrin (range < detection-0.024 ppm wet weight) that exceeded the EPA maximum allowable consumption limit. The Bigmouth Sleeper Gobiomorous dormitor, an important piscivorus sport fish, accumulated low levels of organic contaminants in edible muscle tissue (due to its low lipid content) and may be most suitable for human consumption island-wide; only mercury at one site (an urban location) exceeded EPA's consumption limit of 3 meals/month for this species. These results comprise the first comprehensive island-wide contaminant assessment of Puerto Rico streams and biota and provide natural resource and public health agencies here and in similar tropical islands elsewhere with information needed to guide ecosystem and fisheries conservation and management and human health risk assessment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envres.2017.11.053","usgsCitation":"Buttermore, E.N., Cope, W., Kwak, T.J., Cooney, P.B., Shea, D., and Lazaro, P.R., 2018, Contaminants in tropical island streams and their biota: Environmental Research, v. 161, p. 615-623, https://doi.org/10.1016/j.envres.2017.11.053.","productDescription":"9 p.","startPage":"615","endPage":"623","ipdsId":"IP-092384","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"161","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e5d4e4b060350a15d220","contributors":{"authors":[{"text":"Buttermore, Elissa N.","contributorId":84871,"corporation":false,"usgs":true,"family":"Buttermore","given":"Elissa","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":737243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cope, W. 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They can be gonochoric, hermaphroditic or androgenetic, with both genetic and environmental factors known to determine or influence sex. One unique sex-determining system involving the mitochondrial genome has also been hypothesized to exist in bivalves with doubly uniparental inheritance (DUI) of mtDNA. However, the link between DUI and sex determination remains obscure. In this study, we performed a comparative gonad transcriptomics analysis for two DUI-possessing freshwater mussel species to better understand the mechanisms underlying sex determination and DUI in these bivalves. We used a BLAST reciprocal analysis to identify orthologs between Venustaconcha ellipsiformis and Utterbackia peninsularis and compared our results with previously published sex-specific bivalve transcriptomes to identify conserved sex-determining genes. We also compared our data with other DUI species to identify candidate genes possibly involved in the regulation of DUI. A total of ∼12,000 orthologous relationships were found, with 2,583 genes differentially expressed in both species. Among these genes, key sex-determining factors previously reported in vertebrates and in bivalves (e.g., Sry, Dmrt1, Foxl2) were identified, suggesting that some steps of the sex-determination pathway may be deeply conserved in metazoans. Our results also support the hypothesis that a modified ubiquitination mechanism could be responsible for the retention of the paternal mtDNA in male bivalves, and revealed that DNA methylation could also be involved in the regulation of DUI. Globally, our results suggest that sets of genes associated with sex determination and DUI are similar in distantly-related DUI species.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gbe/evy019","usgsCitation":"Capt, C., Renaut, S., Ghiselli, F., Milani, L., Johnson, N.A., Sietman, B.E., Stewart, D., and Breton, S., 2018, Deciphering the link between doubly uniparental inheritance of mtDNA and sex determination in bivalves: Clues from comparative transcriptomics: Genome Biology and Evolution, v. 10, no. 2, p. 577-590, https://doi.org/10.1093/gbe/evy019.","productDescription":"14 p.","startPage":"577","endPage":"590","ipdsId":"IP-092196","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469078,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gbe/evy019","text":"Publisher Index Page"},{"id":354709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-19","publicationStatus":"PW","scienceBaseUri":"5b46e5d4e4b060350a15d226","contributors":{"authors":[{"text":"Capt, Charlotte","contributorId":205385,"corporation":false,"usgs":false,"family":"Capt","given":"Charlotte","email":"","affiliations":[{"id":37091,"text":"Université de Montréal","active":true,"usgs":false}],"preferred":false,"id":737135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renaut, Sébastien","contributorId":205386,"corporation":false,"usgs":false,"family":"Renaut","given":"Sébastien","affiliations":[{"id":37091,"text":"Université de Montréal","active":true,"usgs":false}],"preferred":false,"id":737136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ghiselli, Fabrizio","contributorId":205387,"corporation":false,"usgs":false,"family":"Ghiselli","given":"Fabrizio","email":"","affiliations":[{"id":37091,"text":"Université de Montréal","active":true,"usgs":false}],"preferred":false,"id":737137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milani, Liliana","contributorId":205388,"corporation":false,"usgs":false,"family":"Milani","given":"Liliana","email":"","affiliations":[{"id":37091,"text":"Université de Montréal","active":true,"usgs":false}],"preferred":false,"id":737138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":737134,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sietman, Bernard E.","contributorId":196565,"corporation":false,"usgs":false,"family":"Sietman","given":"Bernard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":737139,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stewart, Donald","contributorId":205389,"corporation":false,"usgs":false,"family":"Stewart","given":"Donald","affiliations":[{"id":37092,"text":"Acadia University","active":true,"usgs":false}],"preferred":false,"id":737140,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Breton, Sophie 0000-0002-8286-486X","orcid":"https://orcid.org/0000-0002-8286-486X","contributorId":196560,"corporation":false,"usgs":false,"family":"Breton","given":"Sophie","email":"","affiliations":[],"preferred":false,"id":737141,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70194789,"text":"70194789 - 2018 - Intermediate sulfidation type base metal mineralization at Aliabad-Khanchy, Tarom-Hashtjin metallogenic belt, NW Iran","interactions":[],"lastModifiedDate":"2017-12-18T09:19:34","indexId":"70194789","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Intermediate sulfidation type base metal mineralization at Aliabad-Khanchy, Tarom-Hashtjin metallogenic belt, NW Iran","docAbstract":"The Aliabad-Khanchy epithermal base metal deposit is located in the Tarom-Hashtjin metallogenic belt (THMB) of northwest Iran. The mineralization occurs as Cu-bearing brecciated quartz veins hosted by Eocene volcanic and volcaniclastic rocks of the Karaj Formation. Ore formation can be divided into five stages, with most ore minerals, such as pyrite and chalcopyrite being formed in the early stages. The main wall-rock alteration is silicification, and chlorite, argillic and propylitic alteration. Microthermometric measurements of fluid inclusion assemblages show that the ore-forming fluids have eutectic temperatures between −30 and −52 °C, trapping temperatures of 150–290 °C, and salinities of 6.6–12.4 wt% NaCl equiv. These data demonstrate that the ore-forming fluids were medium- to high-temperature, medium- to low-salinity, and low-density H2O–NaCl–CaCl2 fluids. Calculated δ18O values indicate that ore-forming hydrothermal fluids had δ18Owater ranging from +3.6‰ to +0.8‰, confirming that the ore–fluid system evolved from dominantly magmatic to dominantly meteoric. The calculated 34SH2S values range from −8.1‰ to −5.0‰, consistent with derivation of the sulfur from either magma or possibly from local volcanic wall-rock. Combined, the fluid inclusion and stable isotope data indicate that the Aliabad-Khanchy deposit formed from magmatic-hydrothermal fluids. After rising to a depth of between 790 and 500 m, the fluid boiled and subsequent hydraulic fracturing may have led to inflow and/or mixing of early magmatic fluids with circulating groundwater causing deposition of base metals due to dilution and/or cooling. The Aliabad-Khanchy deposit is interpreted as an intermediate-sulfidation style of epithermal mineralization. Our data suggest that the mineralization at Aliabad-Khanchy and other epithermal deposits of the THMB formed by hydrothermal activity related to shallow late Eocene magmatism. The altered Eocene volcanic and volcaniclastic rocks, especially at the intersection of subvolcanic stocks with faults were the most favorable sites for epithermal ore bodies in the THMB.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2017.12.012","usgsCitation":"Kouhestani, H., Mokhtari, M., Chang, Z., and Johnson, C.A., 2018, Intermediate sulfidation type base metal mineralization at Aliabad-Khanchy, Tarom-Hashtjin metallogenic belt, NW Iran: Ore Geology Reviews, v. 93, p. 1-18, https://doi.org/10.1016/j.oregeorev.2017.12.012.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-092303","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":469057,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.oregeorev.2017.12.012","text":"External Repository"},{"id":350052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iran","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 47.75,\n 36\n ],\n [\n 50.5,\n 36\n ],\n [\n 50.5,\n 38\n ],\n [\n 47.75,\n 38\n ],\n [\n 47.75,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"93","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a81326fe4b00f54eb30e768","contributors":{"authors":[{"text":"Kouhestani, Hossein","contributorId":201391,"corporation":false,"usgs":false,"family":"Kouhestani","given":"Hossein","email":"","affiliations":[],"preferred":false,"id":725176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mokhtari, Mir Ali Asghar","contributorId":201392,"corporation":false,"usgs":false,"family":"Mokhtari","given":"Mir Ali Asghar","affiliations":[],"preferred":false,"id":725177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chang, Zhaoshan","contributorId":201393,"corporation":false,"usgs":false,"family":"Chang","given":"Zhaoshan","email":"","affiliations":[],"preferred":false,"id":725178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":725175,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195209,"text":"70195209 - 2018 - Use of real-time dust monitoring and surface condition to evaluate success of unpaved road treatments","interactions":[],"lastModifiedDate":"2018-02-16T12:45:23","indexId":"70195209","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of real-time dust monitoring and surface condition to evaluate success of unpaved road treatments","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Transportation Research Board Annual Meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Transportation Research Board","usgsCitation":"Kunz, B.K., Green, N., Albers, J.L., Wildhaber, M.L., and Little, E.E., 2018, Use of real-time dust monitoring and surface condition to evaluate success of unpaved road treatments, in Transportation Research Board Annual Meeting, 3 p.","productDescription":"3 p.","ipdsId":"IP-092925","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":351721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351720,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://amonline.trb.org/2017trb-1.3983622/t022-1.3997225/343-1.3997556/18-06624-1.3991656/18-06624-1.3997557?qr=1"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee743e4b0da30c1bfc209","contributors":{"authors":[{"text":"Kunz, Bethany K. 0000-0002-7193-9336 bkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-7193-9336","contributorId":3798,"corporation":false,"usgs":true,"family":"Kunz","given":"Bethany","email":"bkunz@usgs.gov","middleInitial":"K.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Nicholas S. 0000-0002-8538-4191","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":202040,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Little, Edward E. 0000-0003-0034-3639 elittle@usgs.gov","orcid":"https://orcid.org/0000-0003-0034-3639","contributorId":1746,"corporation":false,"usgs":true,"family":"Little","given":"Edward","email":"elittle@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":727454,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195167,"text":"70195167 - 2018 - Assessing intrinsic and specific vulnerability models ability to indicate groundwater vulnerability to groups of similar pesticides: A comparative study","interactions":[],"lastModifiedDate":"2018-10-04T13:41:33","indexId":"70195167","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Assessing intrinsic and specific vulnerability models ability to indicate groundwater vulnerability to groups of similar pesticides: A comparative study","docAbstract":"With continued population growth and increasing use of fresh groundwater resources, protection of this valuable resource is critical. A cost effective means to assess risk of groundwater contamination potential will provide a useful tool to protect these resources. Integrating geospatial methods offers a means to quantify the risk of contaminant potential in cost effective and spatially explicit ways. This research was designed to compare the ability of intrinsic (DRASTIC) and specific (Attenuation Factor; AF) vulnerability models to indicate groundwater vulnerability areas by comparing model results to the presence of pesticides from groundwater sample datasets. A logistic regression was used to assess the relationship between the environmental variables and the presence or absence of pesticides within regions of varying vulnerability. According to the DRASTIC model, more than 20% of the study area is very highly vulnerable. Approximately 30% is very highly vulnerable according to the AF model. When groundwater concentrations of individual pesticides were compared to model predictions, the results were mixed. Model predictability improved when concentrations of the group of similar pesticides were compared to model results. Compared to the DRASTIC model, the AF model more accurately predicts the distribution of the number of contaminated wells within each vulnerability class.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02723646.2017.1406300","usgsCitation":"Douglas, S.H., Dixon, B., and Griffin, D.W., 2018, Assessing intrinsic and specific vulnerability models ability to indicate groundwater vulnerability to groups of similar pesticides: A comparative study: Physical Geography, v. 39, no. 6, p. 487-505, https://doi.org/10.1080/02723646.2017.1406300.","productDescription":"19 p.","startPage":"487","endPage":"505","ipdsId":"IP-081836","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":351284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-08","publicationStatus":"PW","scienceBaseUri":"5a7c1e73e4b00f54eb2292e4","contributors":{"authors":[{"text":"Douglas, Steven H. 0000-0001-9078-538X sdouglas@usgs.gov","orcid":"https://orcid.org/0000-0001-9078-538X","contributorId":182361,"corporation":false,"usgs":true,"family":"Douglas","given":"Steven","email":"sdouglas@usgs.gov","middleInitial":"H.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dixon, Barnali","contributorId":201960,"corporation":false,"usgs":false,"family":"Dixon","given":"Barnali","email":"","affiliations":[{"id":36308,"text":"USFSP","active":true,"usgs":false}],"preferred":false,"id":727278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727279,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195547,"text":"70195547 - 2018 - Leaching and sorption of neonicotinoid insecticides and fungicides from seed coatings","interactions":[],"lastModifiedDate":"2018-09-26T13:04:24","indexId":"70195547","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2266,"text":"Journal of Environmental Science and Health - Part B Pesticides, Food Contaminants, and Agricultural Wastes","active":true,"publicationSubtype":{"id":10}},"title":"Leaching and sorption of neonicotinoid insecticides and fungicides from seed coatings","docAbstract":"Seed coatings are a treatment used on a variety of crops to improve production and offer protection against pests and fungal outbreaks. The leaching of the active ingredients associated with the seed coatings and the sorption to soil was evaluated under laboratory conditions using commercially available corn and soybean seeds to study the fate and transport of these pesticides under controlled conditions. The active ingredients (AI) included one neonicotinoid insecticide (thiamethoxam) and five fungicides (azoxystrobin, fludioxonil, metalaxyl, sedaxane thiabendazole). An aqueous leaching experiment was conducted with treated corn and soybean seeds. Leaching potential was a function of solubility and seed type. The leaching of fludioxonil, was dependent on seed type with a shorter time to equilibrium on the corn compared to the soybean seeds. Sorption experiments with the treated seeds and a solution of the AIs were conducted using three different soil types. Sorption behavior was a function of soil organic matter as well as seed type. For most AIs, a negative relationship was observed between the aqueous concentration and the log Koc. Sorption to all soils tested was limited for the hydrophilic pesticides thiamethoxam and metalaxyl. However, partitioning for the more hydrophobic fungicides was dependent on both seed type and soil properties. The mobility of fludioxonil in the sorption experiment varied by seed type indicating that the adjuvants associated with the seed coating could potentially play a role in the environmental fate of fludioxonil. This is the first study to assess, under laboratory conditions, the fate of pesticides associated with seed coatings using commercially available treated seeds. This information can be used to understand how alterations in agricultural practices (e.g., increasing use of seed treatments) can impact the exposure (concentration and duration) and potential effects of these chemicals to aquatic and terrestrial organisms.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03601234.2017.1405619","usgsCitation":"Smalling, K.L., Hladik, M., Sanders, C., and Kuivila, K., 2018, Leaching and sorption of neonicotinoid insecticides and fungicides from seed coatings: Journal of Environmental Science and Health - Part B Pesticides, Food Contaminants, and Agricultural Wastes, v. 53, no. 3, p. 176-183, https://doi.org/10.1080/03601234.2017.1405619.","productDescription":"8 p.","startPage":"176","endPage":"183","ipdsId":"IP-087334","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":351884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-29","publicationStatus":"PW","scienceBaseUri":"5afee742e4b0da30c1bfc1fb","contributors":{"authors":[{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":190789,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","email":"ksmall@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":201293,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanders, Corey 0000-0001-7743-6396","orcid":"https://orcid.org/0000-0001-7743-6396","contributorId":202646,"corporation":false,"usgs":true,"family":"Sanders","given":"Corey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":190790,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn","email":"kkuivila@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729225,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193170,"text":"70193170 - 2018 - Effect of fishing effort on catch rate and catchability of largemouth bass in small impoundments","interactions":[],"lastModifiedDate":"2018-03-28T15:11:54","indexId":"70193170","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effect of fishing effort on catch rate and catchability of largemouth bass in small impoundments","docAbstract":"Largemouth bass Micropterus salmoides (Lacepède) catch rates decline with sustained fishing effort, even without harvest. It is unclear why declines in catch rate occur, and little research has been directed at how to improve catch rate. Learning has been proposed as a reason for declining catch rate, but has never been tested on largemouth bass. If catch rate declines because fish learn to avoid lures, periods of no fishing could be a management tool for increasing catch rate. In this study, six small impoundments with established fish populations were fished for two May to October fishing seasons to evaluate the effect of fishing effort on catch rate. Closed seasons were implemented to test whether a 2‐month period of no fishing improved catch rates and to determine whether conditioning from factors other than being captured reduced catch rate. Mixed‐model analysis indicated catch rate and catchability declined throughout the fishing season. Catch rate and catchability increased after a 2‐month closure but soon declined to the lowest levels of the fishing season. These changes in catch rate and catchability support the conclusion of learned angler avoidance, but sustained catchability of fish not previously caught does not support that associative or social learning affected catchability.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12268","usgsCitation":"Wegener, M.G., Schramm, H., Neal, J.W., and Gerard, P., 2018, Effect of fishing effort on catch rate and catchability of largemouth bass in small impoundments: Fisheries Management and Ecology, v. 25, no. 1, p. 66-76, https://doi.org/10.1111/fme.12268.","productDescription":"11 p.","startPage":"66","endPage":"76","ipdsId":"IP-057761","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":352871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-13","publicationStatus":"PW","scienceBaseUri":"5afee744e4b0da30c1bfc20d","contributors":{"authors":[{"text":"Wegener, M. G.","contributorId":203617,"corporation":false,"usgs":false,"family":"Wegener","given":"M.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":731936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schramm, Harold hschramm@usgs.gov","contributorId":149157,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","email":"hschramm@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neal, J. W.","contributorId":203618,"corporation":false,"usgs":false,"family":"Neal","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":731937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerard, P.D.","contributorId":16368,"corporation":false,"usgs":true,"family":"Gerard","given":"P.D.","email":"","affiliations":[],"preferred":false,"id":731938,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196794,"text":"70196794 - 2018 - Hematological indices of injury to lightly oiled birds from the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2018-05-01T15:35:11","indexId":"70196794","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Hematological indices of injury to lightly oiled birds from the Deepwater Horizon oil spill","docAbstract":"Avian mortality events are common following large‐scale oil spills. However, the sublethal effects of oil on birds exposed to light external oiling are not clearly understood. We found that American oystercatchers (area of potential impact n = 42, reference n = 21), black skimmers (area of potential impact n = 121, reference n = 88), brown pelicans (area of potential impact n = 91, reference n = 48), and great egrets (area of potential impact n = 57, reference n = 47) captured between 20 June 2010 and 23 February 2011 following the Deepwater Horizon oil spill experienced oxidative injury to erythrocytes, had decreased volume of circulating erythrocytes, and showed evidence of a regenerative hematological response in the form of increased reticulocytes compared with reference populations. Erythrocytic inclusions consistent with Heinz bodies were present almost exclusively in birds from sites impacted with oil, a finding pathognomonic for oxidative injury to erythrocytes. Average packed cell volumes were 4 to 19% lower and average reticulocyte counts were 27 to 40% higher in birds with visible external oil than birds from reference sites. These findings provide evidence that small amounts of external oil exposure are associated with hemolytic anemia. Furthermore, we found that some birds captured from the area impacted by the spill but with no visible oiling also had erythrocytic inclusion bodies, increased reticulocytes, and reduced packed cell volumes when compared with birds from reference sites. Thus, birds suffered hematologic injury despite no visible oil at the time of capture. Together, these findings suggest that adverse effects of oil spills on birds may be more widespread than estimates based on avian mortality or severe visible oiling.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3983","usgsCitation":"Fallon, J.A., Smith, E.P., Schoch, N., Paruk, J.D., Adams, E.A., Evers, D.C., Jodice, P.G., Perkins, C., Schulte, S., and Hopkins, W., 2018, Hematological indices of injury to lightly oiled birds from the Deepwater Horizon oil spill: Environmental Toxicology and Chemistry, v. 37, no. 2, p. 451-461, https://doi.org/10.1002/etc.3983.","productDescription":"11 p.","startPage":"451","endPage":"461","ipdsId":"IP-080696","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-01","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1d1","contributors":{"authors":[{"text":"Fallon, Jesse A.","contributorId":177315,"corporation":false,"usgs":false,"family":"Fallon","given":"Jesse","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Eric P.","contributorId":204598,"corporation":false,"usgs":false,"family":"Smith","given":"Eric","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":734467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoch, Nina","contributorId":101988,"corporation":false,"usgs":true,"family":"Schoch","given":"Nina","email":"","affiliations":[],"preferred":false,"id":734468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paruk, James D.","contributorId":127670,"corporation":false,"usgs":false,"family":"Paruk","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":734469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Evan A.","contributorId":204599,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734470,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":734471,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":200009,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734425,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perkins, Christopher","contributorId":204600,"corporation":false,"usgs":false,"family":"Perkins","given":"Christopher","affiliations":[],"preferred":false,"id":734472,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schulte, Shiloh A.","contributorId":39911,"corporation":false,"usgs":true,"family":"Schulte","given":"Shiloh A.","affiliations":[],"preferred":false,"id":734473,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hopkins, William A.","contributorId":201553,"corporation":false,"usgs":false,"family":"Hopkins","given":"William A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":734474,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70197788,"text":"70197788 - 2018 - Variabilities in probabilistic seismic hazard maps for natural and induced seismicity in the central and eastern United States","interactions":[],"lastModifiedDate":"2018-06-20T10:54:13","indexId":"70197788","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Variabilities in probabilistic seismic hazard maps for natural and induced seismicity in the central and eastern United States","docAbstract":"Probabilistic seismic hazard analysis (PSHA) characterizes ground-motion hazard from earthquakes. Typically, the time horizon of a PSHA forecast is long, but in response to induced seismicity related to hydrocarbon development, the USGS developed one-year PSHA models. In this paper, we present a display of the variability in USGS hazard curves due to epistemic uncertainty in its informed submodel using a simple bootstrapping approach. We find that variability is highest in low-seismicity areas. On the other hand, areas of high seismic hazard, such as the New Madrid seismic zone or Oklahoma, exhibit relatively lower variability simply because of more available data and a better understanding of the seismicity. Comparing areas of high hazard, New Madrid, which has a history of large naturally occurring earthquakes, has lower forecast variability than Oklahoma, where the hazard is driven mainly by suspected induced earthquakes since 2009. Overall, the mean hazard obtained from bootstrapping is close to the published model, and variability increased in the 2017 one-year model relative to the 2016 model. Comparing the relative variations caused by individual logic-tree branches, we find that the highest hazard variation (as measured by the 95% confidence interval of bootstrapping samples) in the final model is associated with different ground-motion models and maximum magnitudes used in the logic tree, while the variability due to the smoothing distance is minimal. It should be pointed out that this study is not looking at the uncertainty in the hazard in general, but only as it is represented in the USGS one-year models.
","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle37020141a1.1","usgsCitation":"Mousavi, S.M., Beroza, G.C., and Hoover, S.M., 2018, Variabilities in probabilistic seismic hazard maps for natural and induced seismicity in the central and eastern United States: The Leading Edge, v. 37, no. 2, p. 141a1-141a9, https://doi.org/10.1190/tle37020141a1.1.","productDescription":"9 p.","startPage":"141a1","endPage":"141a9","ipdsId":"IP-093220","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":355202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115,\n 25\n ],\n [\n -65,\n 25\n ],\n [\n -65,\n 50\n ],\n [\n -115,\n 50\n ],\n [\n -115,\n 25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e5d3e4b060350a15d21c","contributors":{"authors":[{"text":"Mousavi, S. Mostafa","contributorId":205790,"corporation":false,"usgs":false,"family":"Mousavi","given":"S.","email":"","middleInitial":"Mostafa","affiliations":[{"id":37167,"text":"Department of Geophysics, Stanford University, Stanford, CA","active":true,"usgs":false}],"preferred":false,"id":738494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beroza, Gregory C.","contributorId":191201,"corporation":false,"usgs":false,"family":"Beroza","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":738495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoover, Susan M. 0000-0002-8682-6668 shoover@usgs.gov","orcid":"https://orcid.org/0000-0002-8682-6668","contributorId":5715,"corporation":false,"usgs":true,"family":"Hoover","given":"Susan","email":"shoover@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":738496,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196739,"text":"70196739 - 2018 - Examining fluvial fish range loss with SDMs","interactions":[],"lastModifiedDate":"2018-04-27T13:24:42","indexId":"70196739","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Examining fluvial fish range loss with SDMs","docAbstract":"Fluvial fishes face increased imperilment from anthropogenic activities, but the specific factors contributing most to range declines are often poorly understood. For example, the range of the fluvial‐specialist shoal bass (Micropterus cataractae) continues to decrease, yet how perceived threats have contributed to range loss is largely unknown. We used species distribution models to determine which factors contributed most to shoal bass range loss. We estimated a potential distribution based on natural abiotic factors and a series of currently occupied distributions that incorporated variables characterizing land cover, non‐native species, and river fragmentation intensity (no fragmentation, dams only, and dams and large impoundments). We allowed interspecific relationships between non‐native congeners and shoal bass to vary across fragmentation intensities. Results from the potential distribution model estimated shoal bass presence throughout much of their native basin, whereas models of currently occupied distribution showed that range loss increased as fragmentation intensified. Response curves from models of currently occupied distribution indicated a potential interaction between fragmentation intensity and the relationship between shoal bass and non‐native congeners, wherein non‐natives may be favored at the highest fragmentation intensity. Response curves also suggested that >100 km of interconnected, free‐flowing stream fragments were necessary to support shoal bass presence. Model evaluation, including an independent validation, suggested that models had favorable predictive and discriminative abilities. Similar approaches that use readily available, diverse, geospatial data sets may deliver insights into the biology and conservation needs of other fluvial species facing similar threats.
","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13024","usgsCitation":"Taylor, A.T., Papes, M., and Long, J.M., 2018, Examining fluvial fish range loss with SDMs: Conservation Biology, v. 32, no. 1, p. 171-182, https://doi.org/10.1111/cobi.13024.","productDescription":"12 p.","startPage":"171","endPage":"182","ipdsId":"IP-079935","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-29","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1d5","contributors":{"authors":[{"text":"Taylor, Andrew T.","contributorId":177197,"corporation":false,"usgs":false,"family":"Taylor","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":734169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papes, Monica","contributorId":204496,"corporation":false,"usgs":false,"family":"Papes","given":"Monica","email":"","affiliations":[],"preferred":false,"id":734170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734168,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196629,"text":"70196629 - 2018 - Integrating future scenario‐based crop expansion and crop conditions to map switchgrass biofuel potential in eastern Nebraska, USA","interactions":[],"lastModifiedDate":"2018-04-23T10:01:33","indexId":"70196629","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1718,"text":"GCB Bioenergy","active":true,"publicationSubtype":{"id":10}},"title":"Integrating future scenario‐based crop expansion and crop conditions to map switchgrass biofuel potential in eastern Nebraska, USA","docAbstract":"Switchgrass (Panicum virgatum) has been evaluated as one potential source for cellulosic biofuel feedstocks. Planting switchgrass in marginal croplands and waterway buffers can reduce soil erosion, improve water quality, and improve regional ecosystem services (i.e. it serves as a potential carbon sink). In previous studies, we mapped high risk marginal croplands and highly erodible cropland buffers that are potentially suitable for switchgrass development, which would improve ecosystem services and minimally impact food production. In this study, we advance our previous study results and integrate future crop expansion information to develop a switchgrass biofuel potential ensemble map for current and future croplands in eastern Nebraska. The switchgrass biomass productivity and carbon benefits (i.e. NEP: net ecosystem production) for the identified biofuel potential ensemble areas were quantified. The future scenario‐based (‘A1B’) land use and land cover map for 2050, the US Geological Survey crop type and Compound Topographic Index (CTI) maps, and long‐term (1981–2010) averaged annual precipitation data were used to identify future crop expansion regions that are suitable for switchgrass development. Results show that 2528 km2 of future crop expansion regions (~3.6% of the study area) are potentially suitable for switchgrass development. The total estimated biofuel potential ensemble area (including cropland buffers, marginal croplands, and future crop expansion regions) is 4232 km2 (~6% of the study area), potentially producing 3.52 million metric tons of switchgrass biomass per year. Converting biofuel ensemble regions to switchgrass leads to potential carbon sinks (the total NEP for biofuel potential areas is 0.45 million metric tons C) and is environmentally sustainable. Results from this study improve our understanding of environmental conditions and ecosystem services of current and future cropland systems in eastern Nebraska and provide useful information to land managers to make land use decisions regarding switchgrass development.
","language":"English","publisher":"Wiley","doi":"10.1111/gcbb.12468","usgsCitation":"Gu, Y., and Wylie, B., 2018, Integrating future scenario‐based crop expansion and crop conditions to map switchgrass biofuel potential in eastern Nebraska, USA: GCB Bioenergy, v. 10, no. 2, p. 76-83, https://doi.org/10.1111/gcbb.12468.","productDescription":"8 p.","startPage":"76","endPage":"83","ipdsId":"IP-087756","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcbb.12468","text":"Publisher Index Page"},{"id":353641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.1845703125,\n 40.01078714046552\n ],\n [\n -95.30639648437499,\n 40.01078714046552\n ],\n [\n -95.30639648437499,\n 42.99661231842139\n ],\n [\n -99.1845703125,\n 42.99661231842139\n ],\n [\n -99.1845703125,\n 40.01078714046552\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-12","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1d7","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":733834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":197161,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce K.","email":"wylie@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":733835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196893,"text":"70196893 - 2018 - Vertical self-sorting behavior in juvenile Chinook salmon (Oncorhynchus tshawytscha): evidence for family differences and variation in growth and morphology","interactions":[],"lastModifiedDate":"2018-05-17T15:37:23","indexId":"70196893","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Vertical self-sorting behavior in juvenile Chinook salmon (Oncorhynchus tshawytscha): evidence for family differences and variation in growth and morphology","docAbstract":"Life history variation is fundamental to the evolution of Pacific salmon and their persistence under variable conditions. We discovered that Chinook salmon sort themselves into surface- and bottom-oriented groups in tanks within days after exogenous feeding. We hypothesised that this behaviour is correlated with subsequent differences in body morphology and growth (as measured by final length and mass) observed later in life. We found consistent morphological differences between surface and bottom phenotypes. Furthermore, we found that surface and bottom orientation within each group is maintained for at least one year after the phenotypes were separated. These surface and bottom phenotypes are expressed across genetic stocks, brood years, and laboratories and we show that the proportion of surface- and bottom-oriented offspring also differed among families. Importantly, feed delivery location did not affect morphology or growth, and the surface fish were longer than bottom fish at the end of the rearing experiment. The body shape of the former correlates with wild individuals that rear in mainstem habitats and migrate in the fall as subyearlings and the latter resemble those that remain in the upper tributaries and migrate as yearling spring migrants. Our findings suggest that early self-sorting behaviour may have a genetic basis and be correlated with other phenotypic traits that are important indicators for juvenile migration timing.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-017-0702-2","usgsCitation":"Unrein, J.R., Billman, E., Cogliati, K.M., Chitwood, R.S., Noakes, D.L., and Schreck, C.B., 2018, Vertical self-sorting behavior in juvenile Chinook salmon (Oncorhynchus tshawytscha): evidence for family differences and variation in growth and morphology: Environmental Biology of Fishes, v. 101, no. 2, p. 341-353, https://doi.org/10.1007/s10641-017-0702-2.","productDescription":"13 p.","startPage":"341","endPage":"353","ipdsId":"IP-066132","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-02","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1c9","contributors":{"authors":[{"text":"Unrein, Julia R.","contributorId":172777,"corporation":false,"usgs":false,"family":"Unrein","given":"Julia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Billman, E.J.","contributorId":172038,"corporation":false,"usgs":false,"family":"Billman","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":735727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cogliati, Karen M.","contributorId":200086,"corporation":false,"usgs":false,"family":"Cogliati","given":"Karen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chitwood, Rob S.","contributorId":172779,"corporation":false,"usgs":false,"family":"Chitwood","given":"Rob","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noakes, David L. G.","contributorId":195116,"corporation":false,"usgs":false,"family":"Noakes","given":"David","email":"","middleInitial":"L. G.","affiliations":[],"preferred":false,"id":735730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734925,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196503,"text":"70196503 - 2018 - Comparison of the chemical composition of dissolved organic matter in three lakes in Minnesota","interactions":[],"lastModifiedDate":"2018-04-13T11:10:39","indexId":"70196503","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","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":"Comparison of the chemical composition of dissolved organic matter in three lakes in Minnesota","docAbstract":"New information on the chemical composition of dissolved organic matter (DOM) in three lakes in Minnesota has been gained from spectral editing and two-dimensional nuclear magnetic resonance (NMR) methods, indicating the effects of lake hydrological settings on DOM composition. Williams Lake (WL), Shingobee Lake (SL), and Manganika Lake (ML) had different source inputs, and the lake water residence time (WRT) of WL was markedly longer than that of SL and ML. The hydrophobic organic acid (HPOA) and transphilic organic acid (TPIA) fractions combined comprised >50% of total DOM in these lakes, and contained carboxyl-rich alicyclic molecules (CRAM), aromatics, carbohydrates, and N-containing compounds. The previously understudied TPIA fractions contained fewer aromatics, more oxygen-rich CRAM, and more N-containing compounds compared to the corresponding HPOA. CRAM represented the predominant component in DOM from all lakes studied, and more so in WL than in SL and ML. Aromatics including lignin residues and phenols decreased in relative abundances from ML to SL and WL. Carbohydrates and N-containing compounds were minor components in both HPOA and TPIA and did not show large variations among the three lakes. The increased relative abundances of CRAM in DOM from ML, SL to WL suggested the selective preservation of CRAM with increased residence time.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.7b04076","usgsCitation":"Cao, X., Aiken, G.R., Butler, K.D., Mao, J., and Schmidt-Rohr, K., 2018, Comparison of the chemical composition of dissolved organic matter in three lakes in Minnesota: Environmental Science & Technology, v. 52, no. 4, p. 1747-1755, https://doi.org/10.1021/acs.est.7b04076.","productDescription":"9 p.","startPage":"1747","endPage":"1755","ipdsId":"IP-090645","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":438033,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77M06VP","text":"USGS data release","linkHelpText":"Organic Carbon Data in Water Samples from Minnesota Lakes, 2012 to 2013"},{"id":353407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","volume":"52","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-07","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1db","contributors":{"authors":[{"text":"Cao, Xiaoyan","contributorId":204169,"corporation":false,"usgs":false,"family":"Cao","given":"Xiaoyan","email":"","affiliations":[{"id":36869,"text":"Old Dominion University; Brandeis University","active":true,"usgs":false}],"preferred":false,"id":733289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":733290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butler, Kenna D. 0000-0001-9604-4603 kebutler@usgs.gov","orcid":"https://orcid.org/0000-0001-9604-4603","contributorId":178885,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mao, Jingdong","contributorId":204171,"corporation":false,"usgs":false,"family":"Mao","given":"Jingdong","email":"","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":733291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt-Rohr, Klaus","contributorId":173865,"corporation":false,"usgs":false,"family":"Schmidt-Rohr","given":"Klaus","email":"","affiliations":[{"id":27307,"text":"Dept. of Chemistry, Brandeis University, Waltham, MA","active":true,"usgs":false}],"preferred":false,"id":733292,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196067,"text":"70196067 - 2018 - A tool for efficient, model-independent management optimization under uncertainty","interactions":[],"lastModifiedDate":"2018-03-15T15:57:07","indexId":"70196067","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"A tool for efficient, model-independent management optimization under uncertainty","docAbstract":"To fill a need for risk-based environmental management optimization, we have developed PESTPP-OPT, a model-independent tool for resource management optimization under uncertainty. PESTPP-OPT solves a sequential linear programming (SLP) problem and also implements (optional) efficient, “on-the-fly” (without user intervention) first-order, second-moment (FOSM) uncertainty techniques to estimate model-derived constraint uncertainty. Combined with a user-specified risk value, the constraint uncertainty estimates are used to form chance-constraints for the SLP solution process, so that any optimal solution includes contributions from model input and observation uncertainty. In this way, a “single answer” that includes uncertainty is yielded from the modeling analysis. PESTPP-OPT uses the familiar PEST/PEST++ model interface protocols, which makes it widely applicable to many modeling analyses. The use of PESTPP-OPT is demonstrated with a synthetic, integrated surface-water/groundwater model. The function and implications of chance constraints for this synthetic model are discussed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2017.11.019","usgsCitation":"White, J.T., Fienen, M.N., Barlow, P.M., and Welter, D., 2018, A tool for efficient, model-independent management optimization under uncertainty: Environmental Modelling and Software, v. 100, p. 213-221, https://doi.org/10.1016/j.envsoft.2017.11.019.","productDescription":"9 p.","startPage":"213","endPage":"221","ipdsId":"IP-090477","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":352580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee742e4b0da30c1bfc1f1","contributors":{"authors":[{"text":"White, Jeremy T. 0000-0002-4950-1469 jwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":167708,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jwhite@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":731192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":171511,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":731191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":731193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welter, Dave E.","contributorId":203342,"corporation":false,"usgs":false,"family":"Welter","given":"Dave E.","affiliations":[{"id":36603,"text":"SFWMD","active":true,"usgs":false}],"preferred":false,"id":731194,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196116,"text":"70196116 - 2018 - Radium mobility and the age of groundwater in public-drinking-water supplies from the Cambrian-Ordovician aquifer system, north-central USA","interactions":[],"lastModifiedDate":"2018-03-21T10:03:13","indexId":"70196116","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Radium mobility and the age of groundwater in public-drinking-water supplies from the Cambrian-Ordovician aquifer system, north-central USA","docAbstract":"High radium (Ra) concentrations in potable portions of the Cambrian-Ordovician (C-O) aquifer system were investigated using water-quality data and environmental tracers (3H, 3Hetrit, SF6, 14C and 4Herad) of groundwater age from 80 public-supply wells (PSWs). Groundwater ages were estimated by calibration of tracers to lumped parameter models and ranged from modern (<50 yr) in upgradient, regionally unconfined areas to ancient (>1 Myr) in the most downgradient, confined portions of the potable system. More than 80 and 40 percent of mean groundwater ages were older than 1000 and 50,000 yr, respectively. Anoxic, Fe-reducing conditions and increased mineralization develop with time in the aquifer system and mobilize Ra into solution resulting in the frequent occurrence of combined Ra (Rac = 226Ra + 228Ra) at concentrations exceeding the USEPA MCL of 185 mBq/L (5 pCi/L). The distribution of the three Ra isotopes comprising total Ra (Rat = 224Ra + 226Ra + 228Ra) differed across the aquifer system. The concentrations of 224Ra and 228Ra were strongly correlated and comprised a larger proportion of the Rat concentration in samples from the regionally unconfined area, where arkosic sandstones provide an enhanced source for progeny from the 232Th decay series. 226Ra comprised a larger proportion of the Ratconcentration in samples from downgradient confined regions. Concentrations of Rat were significantly greater in samples from the regionally confined area of the aquifer system because of the increase in 226Ra concentrations there as compared to the regionally unconfined area. 226Ra distribution coefficients decreased substantially with anoxic conditions and increasing ionic strength of groundwater (mineralization), indicating that Ra is mobilized to solution from solid phases of the aquifer as adsorption capacity is diminished. The amount of 226Ra released from solid phases by alpha-recoil mechanisms and retained in solution increases relative to the amount of Ra sequestered by adsorption processes or co-precipitation with barite as adsorption capacity and the concentration of Ba decreases. Although 226Ra occurred at concentrations greater than 224Ra or 228Ra, the ingestion exposure risk was greater for 228Ra owing to its greater toxicity. In addition, 224Ra added substantial alpha-particle radioactivity to potable samples from the C-O aquifer system. Thus, monitoring for Ra isotopes and gross-alpha-activity (GAA) is important in upgradient, regionally unconfined areas as downgradient, and GAA measurements made within 72 h of sample collection would best capture alpha-particle radiation from the short-lived 224Ra.
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