The Stochastic Empirical Loading and Dilution Model (SELDM) was developed by the U.S. Geological Survey (USGS) in cooperation with the Federal Highway Administration to simulate stormwater quality. To assess the effects of runoff, SELDM uses a stochastic mass-balance approach to estimate combinations of pre-storm streamflow, stormflow, highway runoff, event mean concentrations (EMCs) and stormwater constituent loads from a site of interest. In addition, SELDM can be used to assess the effects of stormwater Best Management Practices (BMPs), which are designed to mitigate the adverse effects of runoff into a waterbody.
Adverse effects of stormwater on receiving waters are one of the greatest unsolved water-quality problems Nationwide. State DOTs, municipalities, Federal facilities, and private property owners who manage impervious surfaces need information about the potential magnitude of their contributions and the potential effectiveness of methods to mitigate the adverse effects of runoff. Because the efficacy of at-site controls are limited, information about the potential effectiveness of alternative strategies is needed.
The USGS, in cooperation with the Oregon Department of Transportation (ODOT), conducted a study to research methods in which SELDM can be used to enhance the efficiency of ODOT’s stormwater program, support the development of a stormwater banking program, and meet environmental goals. Results can be used to develop a strategic, systems-level approach to stormwater management by considering entire watersheds instead of individual road crossings. Two watersheds, Bear Creek and Mill Creek, in western Oregon were selected for analysis. Within each watershed, seven road crossings were selected for demonstrating the utility of SELDM in nested basins.
Precipitation statistics, pre-storm streamflow, runoff coefficients, and hydrograph recession factors were calculated for each location and used in SELDM to simulate flow, water-quality concentrations, and constituent loads in the upstream basin, from the highway (or developed area), and downstream from the road crossing. Three water-quality constituents were selected for modeling: suspended-sediment concentration (SSC), total phosphorus (TP), and total copper (TCu). Using water-quality transport curves, the relations between streamflow and SSC and between streamflow and TP were simulated. Concentrations of TCu were simulated by configuring a linear relation between SSC and TCu. A generic BMP was simulated using the median treatment statistics for flow reductions, hydrograph extensions, concentration reductions, and minimum irreducible concentrations from nine BMP categories with data from the 2012 International BMP database.
Five simulation scenarios were modeled for demonstrative purposes. These simulations were used to evaluate potential effects of different watershed properties, water-quality inputs, and stormwater mitigation measures. Instream EMCs were compared to hypothetical water-quality criteria for suspended sediment, total phosphorus, and total copper to demonstrate the concept of water-quality risk analysis. For all five scenarios, it was assumed that highway runoff concentrations were independent of location or average annual daily traffic. These five scenarios are as follows:
• Simulation Scenario 1—Natural Conditions (hereafter Simulation Scenario 1) represents conditions in an undeveloped watershed. This scenario demonstrates that the strategic placement of a hypothetical road crossing within a watershed could be used to avoid exceeding water-quality standards of TP and SSC, but that no location choice results in meeting TCu standards. Implementation of BMP had the most pronounced effects on downstream water-quality constituent EMCs at road crossings with the highest ratio of highway catchment area to upstream drainage area, but the largest effect of BMP treatment on mean annual load is based on highway catchment area alone.
• Simulation Scenario 2—Current Conditions (hereafter Simulation Scenario 2) represents current watershed conditions, where all developed area upstream from the road crossing was modeled as a highway and combined with the undeveloped part of the upstream drainage area (scenario 2A) and where the output from scenario 2A is used for the upstream area (developed area and the undeveloped area), and where the road crossing is added as usual (scenario 2B). Scenario 2 results indicate that attaining water-quality standards is more difficult with upstream developed areas. Specific road-crossing sites can be selected to achieve the fewest water-quality exceedances per year, but water-quality targets are not met without BMP implementation, and in some instances are not achievable even with BMP implementation. Results from this scenario also serve to quantify the upper limit of constituent reduction if funding were available to implement BMPs to large areas of development, and to quantify how much area would need BMP implementation to achieve water-quality targets.
• Simulation Scenario 3—Alternative Road Layouts (hereafter Simulation Scenario 3) was designed to assess the sensitivity of SELDM to various road layouts. In this scenario, different highway configurations were superimposed at one road crossing. Results indicate that downstream waterquality constituent EMCs did not exhibit much variation, but annual water-quality constituent loads varied considerably.
• Simulation Scenario 4—Varying Road Width (hereafter Simulation Scenario 4) was designed to assess the sensitivity of SELDM to road width. Similar to scenario 3, the results indicate little variation in downstream water-quality constituent EMCs, but annual water-quality constituent loads increased in proportion to road width.
• Simulation scenario 5—Changes to Impervious Area (hereafter Simulation Scenario 5) was designed to investigate the effects of changing amounts of imperviousness upstream from the road crossing. Results indicate that the downstream water-quality constituent EMCs are highly correlated with the percentage of impervious area upstream.
Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
The Sahara is the largest warm desert in the world, but its age has been controversial, with estimates ranging from Miocene to Holocene. Mineralogical and geochemical data show that paleosols of Pliocene to mid-Pleistocene age on Fuerteventura and Gran Canaria in the Canary Islands have developed in part from inputs of dust from Africa. These paleosols contain quartz and mica, minerals that are abundant in African dust but are rare in the basaltic rocks that dominate the Canary Islands. Trace elements with minimal mobility, Sc, Cr, Hf, Th, and Ta as well as the rare earth elements, show that paleosols have compositions that are intermediate between those of local rocks and African-derived dust. Thus, results reported here and in a recently published study by others indicate that 9 paleosols record delivery of African dust to the Canary Islands between ~4.8–2.8 Ma, ~3.0–2.9 Ma, ~2.3–1.46 Ma, and ~0.4 Ma. A long-term paleosol record of African dust input agrees with deep-sea records off the coast of western Africa that imply increased dust fluxes to the eastern Atlantic Ocean at ~4.6 Ma. It is concluded that the Sahara Desert has been in existence as an arid-region dust source, at least intermittently, for much of the Pliocene and continuing into the Pleistocene.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2019.109245","usgsCitation":"Muhs, D., Meco, J., Budahn, J.R., Skipp, G.L., Betancort, J.F., and Lomoschitz, A., 2019, The antiquity of the Sahara Desert: New evidence from the mineralogy and geochemistry of Pliocene paleosols on the Canary Islands, Spain: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 533, 109245, 24 p., https://doi.org/10.1016/j.palaeo.2019.109245.","productDescription":"109245, 24 p.","ipdsId":"IP-101486","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467497,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.palaeo.2019.109245","text":"Publisher Index Page"},{"id":379393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","otherGeospatial":"Canary Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -14.0625,\n 27.907058371121995\n ],\n [\n -13.524169921874998,\n 28.526622418648127\n ],\n [\n -13.271484375,\n 29.248063243796576\n ],\n [\n -13.403320312499998,\n 29.420460341013133\n ],\n [\n -13.897705078125,\n 29.267232865200878\n ],\n [\n -14.798583984375002,\n 28.43971381702788\n ],\n [\n -15.633544921875,\n 28.468691297348148\n ],\n [\n -16.28173828125,\n 28.680949728554964\n ],\n [\n -17.86376953125,\n 28.98892237190413\n ],\n [\n -18.10546875,\n 28.545925723233477\n ],\n [\n -17.962646484375,\n 28.352733760237818\n ],\n [\n -18.270263671875,\n 27.644606381943326\n ],\n [\n -17.73193359375,\n 27.45953933271788\n ],\n [\n -16.962890625,\n 27.829360859789794\n ],\n [\n -16.54541015625,\n 27.829360859789794\n ],\n [\n -15.5126953125,\n 27.6251403350933\n ],\n [\n -14.0625,\n 27.907058371121995\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"533","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":801429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meco, Joaquin","contributorId":243048,"corporation":false,"usgs":false,"family":"Meco","given":"Joaquin","affiliations":[{"id":48625,"text":"University of Las Palmas","active":true,"usgs":false}],"preferred":false,"id":801430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budahn, James R. 0000-0001-9794-8882","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":177797,"corporation":false,"usgs":false,"family":"Budahn","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":801431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skipp, Gary L. 0000-0002-9404-0980","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":201777,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":801432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Betancort, Juan F.","contributorId":243049,"corporation":false,"usgs":false,"family":"Betancort","given":"Juan","email":"","middleInitial":"F.","affiliations":[{"id":48625,"text":"University of Las Palmas","active":true,"usgs":false}],"preferred":false,"id":801433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lomoschitz, Alejandro","contributorId":243050,"corporation":false,"usgs":false,"family":"Lomoschitz","given":"Alejandro","email":"","affiliations":[{"id":48625,"text":"University of Las Palmas","active":true,"usgs":false}],"preferred":false,"id":801434,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203897,"text":"sir20195061 - 2019 - Sand Creek characterization study for Oncorhynchus clarkii virginalis (Rio Grande Cutthroat Trout), Great Sand Dunes National Park and Preserve, Colorado","interactions":[],"lastModifiedDate":"2019-07-05T14:56:42","indexId":"sir20195061","displayToPublicDate":"2019-06-27T15:40:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5061","displayTitle":"Sand Creek Characterization Study for Oncorhynchus clarkii virginalis (Rio Grande Cutthroat Trout), Great Sand Dunes National Park and Preserve, Colorado","title":"Sand Creek characterization study for Oncorhynchus clarkii virginalis (Rio Grande Cutthroat Trout), Great Sand Dunes National Park and Preserve, Colorado","docAbstract":"The Oncorhynchus clarkii virginalis (Rio Grande cutthroat trout, RGCT) has undergone extensive declines in distribution and population. The RGCT is the southernmost distributed subspecies of cutthroat trout. Native to the Rio Grande Basin in Colorado and New Mexico, the subspecies is also found in the headwaters of the Pecos River and Canadian River basins in New Mexico. Currently, RGCT populations represent approximately 12 percent of the historic distribution. There are many factors that have contributed to the decline of the RGCT including small population sizes; hybridization with non-native salmonids; competition with non-native salmonids; angling; and loss of habitat resulting from wildfire, stream drying, disease, increased water temperatures; and poor land management.
The eastern side of Colorado’s Rio Grande Basin is also home to Great Sand Dunes National Park and Preserve and the Sand Creek watershed. This study was designed to (1) characterize current physical and biological conditions of waterbodies within the Sand Creek watershed, from headwaters to lower terminus near the dune field; (2) characterize the spatial extent of existing fisheries within the Sand Creek watershed to inform the scope of potential future reclamation efforts; and (3) evaluate key limiting factors for a future native RGCT reintroduction.
Bathymetric profiles were completed for two lakes within the upper Sand Creek drainage to characterize the physical geometry of each lake and to estimate the total lake volume required for future piscicide treatment and (or) fish removal efforts. Physical and biological conditions evaluated included stream water temperature and intermittency, discharge, and the genetics and existing fish community distribution and composition within the Sand Creek watershed were key components of this study. A baseline established the geographic extent and biological constraints factored into future piscicide treatment planning and native trout reintroduction efforts.
As a result of this work, the Sand Creek watershed can be broken up into several distinct categories: Lakes that are good candidates for reclamation and reintroduction of RGCT, lakes that are poor candidates for reclamation, streams that currently have fish and are good candidates for reclamation and reintroduction, streams that currently lack fish and may be good candidates for introduction of RGCT, and streams that currently lack fish and are not good candidates for introduction of RGCT. This characterization study report is intended to inform State and Federal managers of the likelihood that the Sand Creek watershed can support a sustainable population of RGCT should they be reintroduced.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195061","collaboration":"Prepared in Cooperation with the National Park Service","usgsCitation":"McGee, B.N., Todd, A.S., and Terry, K.A., 2019, Sand Creek characterization study for Oncorhynchus clarkii virginalis (Rio Grande cutthroat trout), Great Sand Dunes National Park and Preserve, Colorado: U.S. Geological Survey Scientific Investigations Report 2019–5061, 38 p., https://doi.org/10.3133/sir20195061.","productDescription":"38 p.","onlineOnly":"Y","ipdsId":"IP-101143","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":365287,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2019/5061/versionHist.txt","text":"Version History","size":"1 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2019–5061 version history"},{"id":365110,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5061/sir20195061.pdf","text":"Report","size":"17.4 MB ","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5061"},{"id":365109,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5061/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Great Sand Dunes National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.9686279296875,\n 37.57505900514996\n ],\n [\n -105.2764892578125,\n 37.57505900514996\n ],\n [\n -105.2764892578125,\n 38.048091067457236\n ],\n [\n -105.9686279296875,\n 38.048091067457236\n ],\n [\n -105.9686279296875,\n 37.57505900514996\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geology, Geophysics and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS-973
Denver, CO 80225-0046
Water samples from 50 domestic wells located <1 km (proximal) and >1 km (distal) from shale-gas wells in upland areas of the Marcellus Shale region were analyzed for chemical, isotopic, and groundwater-age tracers. Uplands were targeted because natural mixing with brine and hydrocarbons from deep formations is less common in those areas compared to valleys. CH4-isotope, predrill CH4-concentration, and other data indicate that one proximal sample (5% of proximal samples) contains thermogenic CH4 (2.6 mg/L) from a relatively shallow source (Catskill/Lock Haven Formations) that appears to have been mobilized by shale-gas production activities. Another proximal sample contains five other volatile hydrocarbons (0.03–0.4 μg/L), including benzene, more hydrocarbons than in any other sample. Modeled groundwater-age distributions, calibrated to 3H, SF6, and 14C concentrations, indicate that water in that sample recharged prior to shale-gas development, suggesting that land-surface releases associated with shale-gas production were not the source of those hydrocarbons, although subsurface leakage from a nearby gas well directly into the groundwater cannot be ruled out. Age distributions in the samples span ∼20 to >10000 years and have implications for relating occurrences of hydrocarbons in groundwater to land-surface releases associated with recent shale-gas production and for the time required to flush contaminants from the system.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b01440","usgsCitation":"McMahon, P.B., Lindsey, B.D., Conlon, M.D., Hunt, A.G., Belitz, K., Jurgens, B., and Varela, B.A., 2019, Hydrocarbons in upland groundwater, Marcellus Shale Region, Northeastern Pennsylvania and Southern New York, USA: Environmental Science & Technology, v. 53, no. 14, p. 8027-8035, https://doi.org/10.1021/acs.est.9b01440.","productDescription":"9 p.","startPage":"8027","endPage":"8035","ipdsId":"IP-104959","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"links":[{"id":437401,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93M7JCD","text":"USGS data release","linkHelpText":"Data Release for Hydrocarbons in Upland Groundwater, Marcellus Shale Region, Northeastern Pennsylvania and Southern New York, USA"},{"id":365631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Pennsylvania","volume":" 53","issue":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":766204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conlon, Matthew D. 0000-0001-8266-9610 mconlon@usgs.gov","orcid":"https://orcid.org/0000-0001-8266-9610","contributorId":201291,"corporation":false,"usgs":true,"family":"Conlon","given":"Matthew","email":"mconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":766206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":766207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203409,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766208,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":178091,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":766209,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204037,"text":"70204037 - 2019 - Morphology and genesis of giant seafloor depressions on the southeasterncontinental shelf of the Korean Peninsula","interactions":[],"lastModifiedDate":"2019-06-28T09:25:09","indexId":"70204037","displayToPublicDate":"2019-06-27T14:31:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Morphology and genesis of giant seafloor depressions on the southeasterncontinental shelf of the Korean Peninsula","docAbstract":"We identify and describe five giant seafloor depressions from the southeastern continental shelf of the Korean Peninsula using multibeam bathymetry, sub-bottom profiler, and multi-channel seismic reflection data, supplemented by piston cores. Multibeam bathymetry data from the shelf show four crescent-shaped depressions (SD1 to SD4) and one near-circular depression (SD5) within a group of NW-SE trending depressions, the largest covering an area of about 7 km2 on the seafloor. The depressions reach up to ~4.5 km in width and ~2 km in length and have asymmetric cross-sections. Some have depths as large as 40 m below the surrounding seafloor with walls as steep as 45°. The depressions are confined to water depths between 130 and 170 m and bounded on the north by a large submarine channel that was plausibly formed by fluvial or tidal processes during the Last Glacial Maximum (LGM) sea-level lowstand. Multi-channel seismic and sub-bottom profiler data reveal truncated depression walls and the presence of sediment drift deposits within the depressions, indicating that both erosion and deposition are active processes. Flaser and lenticular bedding in the cored drift deposits along with variable grain size (ranging between ~2.6 phi and ~4.3 phi) are diagnostic features of the bottom currents influenced by tidal forces. Depressions SD1 to SD4 lack evidence of fluid or gas escape. In contrast, many features of depression SD5 are characteristic of gas escapes and blowouts, including acoustic anomalies, a 20-m-high carbonate mound or carbonate-encrusted mound, and mud dikes and mud patches in cores. Based on the SD5 example, we think it is likely that the other crescent-shaped seafloor depressions formed originally as pockmarks by gas/fluid venting, and have since become inactive. The pockmarks represent zones of weakened sediment that were eroded, expanded, and merged by bottom currents to form larger seafloor depressions. Modern currents are strong enough to transport shelf sediments, and these currents were probably much stronger at lower sea levels when the Korea Strait was a more restricted passage between the East China Sea and East Sea.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2019.105966","usgsCitation":"Cukur, D., Kong, G., Chun, J., Kang, M., Um, I., Kwon, T., Jordan, S.E., and Kim, K., 2019, Morphology and genesis of giant seafloor depressions on the southeasterncontinental shelf of the Korean Peninsula: Marine Geology, v. 415, 105966, 13 p., https://doi.org/10.1016/j.margeo.2019.105966.","productDescription":"105966, 13 p.","ipdsId":"IP-106382","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":365123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"North Korea, South Korea","otherGeospatial":"Korea Strait","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 127.869873046875,\n 33.284619968887675\n ],\n [\n 130.97900390625,\n 33.284619968887675\n ],\n [\n 130.97900390625,\n 37.18657859524883\n ],\n [\n 127.869873046875,\n 37.18657859524883\n ],\n [\n 127.869873046875,\n 33.284619968887675\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"415","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cukur, Deniz","contributorId":216636,"corporation":false,"usgs":false,"family":"Cukur","given":"Deniz","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kong, Gee-Soo","contributorId":216637,"corporation":false,"usgs":false,"family":"Kong","given":"Gee-Soo","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chun, Jong-Hwa","contributorId":216638,"corporation":false,"usgs":false,"family":"Chun","given":"Jong-Hwa","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kang, Moo-Hee","contributorId":216639,"corporation":false,"usgs":false,"family":"Kang","given":"Moo-Hee","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Um, In-Kwon","contributorId":216640,"corporation":false,"usgs":false,"family":"Um","given":"In-Kwon","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kwon, Taekhyun","contributorId":216641,"corporation":false,"usgs":false,"family":"Kwon","given":"Taekhyun","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765226,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jordan, Samuel E. 0000-0001-6074-3330","orcid":"https://orcid.org/0000-0001-6074-3330","contributorId":216635,"corporation":false,"usgs":true,"family":"Jordan","given":"Samuel","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":765220,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kim, Kyong-O","contributorId":216642,"corporation":false,"usgs":false,"family":"Kim","given":"Kyong-O","email":"","affiliations":[{"id":39491,"text":"Korea Institute of Geoscience and Mineral Resources (KIGAM","active":true,"usgs":false}],"preferred":false,"id":765227,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70204084,"text":"70204084 - 2019 - Principles and history of luminescence dating","interactions":[],"lastModifiedDate":"2019-09-24T08:41:11","indexId":"70204084","displayToPublicDate":"2019-06-27T13:41:54","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Principles and history of luminescence dating","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of Luminescence Dating","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Whittles Publishing","isbn":"9781849953955","usgsCitation":"Mahan, S.A., and DeWitt, R., 2019, Principles and history of luminescence dating, chap. 1 of Handbook of Luminescence Dating.","ipdsId":"IP-091196","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":367614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367613,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.whittlespublishing.com/Handbook_of_Luminescence_Dating"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":765418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeWitt, Regina 0000-0003-2876-5489","orcid":"https://orcid.org/0000-0003-2876-5489","contributorId":216736,"corporation":false,"usgs":false,"family":"DeWitt","given":"Regina","email":"","affiliations":[{"id":39507,"text":"East Carolina University (in North Carolina)","active":true,"usgs":false}],"preferred":false,"id":765419,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70263727,"text":"70263727 - 2019 - Evaluating tradeoffs in the response of Sora (Porzana carolina) and waterfowl to the timing of early autumn wetland inundation","interactions":[],"lastModifiedDate":"2025-02-20T19:12:23.90001","indexId":"70263727","displayToPublicDate":"2019-06-27T13:04:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluating tradeoffs in the response of Sora (Porzana carolina) and waterfowl to the timing of early autumn wetland inundation","title":"Evaluating tradeoffs in the response of Sora (Porzana carolina) and waterfowl to the timing of early autumn wetland inundation","docAbstract":"Wetland loss has increased the importance of multi-species management in remaining wetlands, which provide habitat for a multitude of wetland-dependent species. Many public wetlands across the mid-latitude United States are managed as moist soil impoundments with emphasis on migratory waterfowl. However, how the timing of these water management decisions affects rails is still uncertain. Wetland managers identified this as an area of uncertainty regarding timing of alternative water management strategies to benefit waterfowl and rails, which was addressed through a 3-year management experiment. Sora (Porzana carolina) and waterfowl were surveyed on 10 public wetland properties in Missouri, USA from 2014-2016, and their responses to early autumn inundation of managed palustrine wetlands were compared. A total of 558 Sora surveys detected 5,755 birds (20.6 birds/survey ± 30.8 SD), and 1,304 waterfowl surveys detected 1,411,779 birds (15,686.4 birds/survey ± 23,933.9 SD). Sora responded positively (birds/ha) to inundation of moist soil impoundments earlier in autumn migration (August). The top model for Sora included treatment, year and region of Missouri. There was no difference in waterfowl abundance between early or late inundation. Inundating wetlands earlier in autumn migration can provide habitat for migrating Sora without negative effects on waterfowl use of those wetlands, and wetland managers can incorporate this into their decision-making framework.
","language":"English","publisher":"BioOne","doi":"10.1675/063.042.0203","usgsCitation":"Fournier, A., Mengel, D., Gbur, E., Raedeke, A., and Krementz, D.G., 2019, Evaluating tradeoffs in the response of Sora (Porzana carolina) and waterfowl to the timing of early autumn wetland inundation: Waterbirds, v. 42, no. 2, p. 168-178, https://doi.org/10.1675/063.042.0203.","productDescription":"11 p.","startPage":"168","endPage":"178","ipdsId":"IP-093134","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":489951,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.042.0203","text":"Publisher Index Page"},{"id":482298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.545006,36.336809],[-89.605668,36.342234],[-89.615841,36.336085],[-89.620255,36.323006],[-89.611819,36.309088],[-89.578492,36.288317],[-89.554289,36.277751],[-89.539487,36.277368],[-89.534507,36.261802],[-89.539229,36.248821],[-89.562206,36.250909],[-89.577544,36.242262],[-89.602374,36.238106],[-89.642182,36.249486],[-89.678046,36.248284],[-89.695235,36.252766],[-89.705328,36.239898],[-89.69263,36.224959],[-89.607004,36.171179],[-89.591605,36.144096],[-89.59307,36.129699],[-89.601936,36.11947],[-89.666598,36.095802],[-89.678821,36.084636],[-89.688577,36.029238],[-89.706932,36.000981],[-90.37789,35.995683],[-90.351732,36.025347],[-90.34909,36.040131],[-90.339343,36.047112],[-90.333261,36.067504],[-90.320746,36.071326],[-90.320662,36.087138],[-90.29991,36.098236],[-90.294492,36.112949],[-90.266256,36.120559],[-90.235585,36.139474],[-90.231386,36.147348],[-90.23537,36.159153],[-90.220425,36.184764],[-90.21128,36.183392],[-90.188189,36.20536],[-90.152497,36.215582],[-90.14224,36.227522],[-90.126366,36.229367],[-90.130114,36.240307],[-90.118219,36.253491],[-90.114922,36.265595],[-90.086471,36.271531],[-90.06398,36.303038],[-90.081961,36.322097],[-90.074074,36.342895],[-90.077695,36.348478],[-90.066297,36.3593],[-90.064514,36.382085],[-90.078671,36.399116],[-90.138512,36.413952],[-90.134231,36.422827],[-90.143743,36.424433],[-90.143798,36.428483],[-90.134136,36.436602],[-90.137323,36.455411],[-90.141101,36.461791],[-90.155804,36.463555],[-90.152888,36.47093],[-90.142222,36.470554],[-90.143683,36.476029],[-90.158838,36.479558],[-90.159305,36.492446],[-90.152481,36.497952],[-94.617919,36.499414],[-94.617975,37.722176],[-94.607354,39.113444],[-94.589933,39.140403],[-94.591933,39.155003],[-94.608834,39.160503],[-94.640035,39.153103],[-94.662435,39.157603],[-94.663835,39.179103],[-94.680336,39.184303],[-94.714137,39.170403],[-94.741938,39.170203],[-94.763138,39.179903],[-94.781518,39.206146],[-94.811663,39.206594],[-94.831679,39.215938],[-94.835056,39.220658],[-94.825663,39.241729],[-94.831471,39.256273],[-94.84632,39.268481],[-94.887056,39.28648],[-94.905329,39.311952],[-94.910017,39.352543],[-94.88136,39.370383],[-94.879281,39.37978],[-94.885026,39.389801],[-94.901823,39.392798],[-94.92311,39.384492],[-94.942039,39.389499],[-94.946293,39.405646],[-94.972952,39.421705],[-94.982144,39.440552],[-95.0375,39.463689],[-95.045716,39.472459],[-95.052177,39.499996],[-95.082714,39.516712],[-95.109304,39.542285],[-95.113077,39.559133],[-95.103228,39.577783],[-95.089515,39.581028],[-95.064519,39.577115],[-95.049277,39.589583],[-95.046361,39.599557],[-95.055152,39.621657],[-95.053367,39.630347],[-95.027644,39.665454],[-95.018318,39.672869],[-94.984149,39.67785],[-94.971317,39.68641],[-94.971206,39.729305],[-94.965318,39.739065],[-94.948726,39.745593],[-94.902612,39.724202],[-94.875643,39.730494],[-94.862943,39.742994],[-94.860743,39.763094],[-94.869644,39.772894],[-94.912293,39.759338],[-94.934262,39.773642],[-94.935206,39.78313],[-94.929654,39.788282],[-94.884084,39.794234],[-94.875944,39.813294],[-94.878677,39.826522],[-94.886933,39.833098],[-94.916918,39.836138],[-94.942567,39.856602],[-94.928466,39.876344],[-94.929574,39.888754],[-94.95154,39.900533],[-94.986975,39.89667],[-95.00844,39.900596],[-95.024389,39.891202],[-95.027931,39.871522],[-95.037767,39.865542],[-95.085003,39.861883],[-95.128166,39.874165],[-95.140601,39.881688],[-95.143802,39.901918],[-95.149657,39.905948],[-95.179453,39.900062],[-95.199347,39.902709],[-95.206326,39.912121],[-95.20069,39.928155],[-95.204428,39.938949],[-95.250254,39.948644],[-95.269886,39.969396],[-95.302507,39.984357],[-95.315271,40.01207],[-95.356876,40.031522],[-95.387195,40.02677],[-95.40726,40.033112],[-95.416824,40.043235],[-95.42164,40.058952],[-95.409856,40.07432],[-95.407591,40.09803],[-95.394216,40.108263],[-95.39284,40.115887],[-95.398667,40.126419],[-95.428749,40.135577],[-95.436348,40.15872],[-95.460746,40.169173],[-95.479193,40.185652],[-95.482757,40.197346],[-95.469718,40.227908],[-95.477501,40.24272],[-95.490333,40.248966],[-95.521925,40.24947],[-95.552473,40.261904],[-95.556325,40.267714],[-95.550966,40.285947],[-95.562157,40.297359],[-95.581787,40.29958],[-95.610439,40.31397],[-95.642262,40.306025],[-95.657328,40.310856],[-95.653729,40.322582],[-95.625204,40.334288],[-95.623728,40.346567],[-95.641027,40.366399],[-95.643934,40.386849],[-95.659134,40.40869],[-95.65819,40.44188],[-95.693133,40.469396],[-95.699969,40.505275],[-95.661687,40.517309],[-95.652262,40.538114],[-95.655848,40.546609],[-95.671754,40.562626],[-95.678718,40.56256],[-95.694147,40.556942],[-95.69505,40.533124],[-95.708591,40.521551],[-95.722444,40.528118],[-95.75711,40.52599],[-95.769281,40.536656],[-95.763366,40.550797],[-95.773549,40.578205],[-95.765645,40.585208],[-94.632035,40.571186],[-94.080463,40.572899],[-92.689854,40.589884],[-91.729115,40.61364],[-91.716769,40.59853],[-91.686357,40.580875],[-91.690804,40.559893],[-91.681714,40.553035],[-91.6219,40.542292],[-91.618028,40.53403],[-91.621353,40.510072],[-91.590817,40.492292],[-91.574746,40.465664],[-91.52509,40.457845],[-91.524053,40.448437],[-91.533623,40.43832],[-91.519935,40.433673],[-91.526555,40.419872],[-91.522333,40.409648],[-91.498093,40.401926],[-91.489816,40.404317],[-91.484507,40.3839],[-91.465116,40.385257],[-91.465009,40.376223],[-91.452458,40.375501],[-91.441243,40.386255],[-91.419422,40.378264],[-91.444833,40.36317],[-91.46214,40.342414],[-91.492727,40.278217],[-91.490524,40.259498],[-91.505828,40.238839],[-91.505495,40.195606],[-91.512974,40.181062],[-91.508224,40.157665],[-91.510322,40.127994],[-91.489606,40.057435],[-91.494878,40.036453],[-91.465315,39.983995],[-91.41936,39.927717],[-91.41988,39.916533],[-91.443513,39.893583],[-91.446922,39.883034],[-91.436051,39.84551],[-91.377971,39.811273],[-91.361571,39.787548],[-91.370009,39.732524],[-91.3453,39.709402],[-91.27614,39.665759],[-91.229317,39.620853],[-91.181936,39.602677],[-91.174651,39.593313],[-91.168419,39.564928],[-91.153628,39.548248],[-91.100307,39.538695],[-91.079769,39.507728],[-91.064305,39.494643],[-91.059439,39.46886],[-91.03827,39.448436],[-90.993789,39.422959],[-90.940766,39.403984],[-90.928745,39.387544],[-90.904862,39.379403],[-90.893777,39.367343],[-90.8475,39.345272],[-90.816851,39.320496],[-90.793461,39.309498],[-90.751599,39.265432],[-90.72996,39.255894],[-90.717113,39.213912],[-90.707902,39.15086],[-90.686051,39.117785],[-90.681086,39.10059],[-90.681994,39.090066],[-90.712541,39.057064],[-90.71158,39.046798],[-90.678193,38.991851],[-90.675949,38.96214],[-90.657254,38.92027],[-90.639917,38.908272],[-90.625122,38.888654],[-90.583388,38.86903],[-90.555693,38.870785],[-90.500117,38.910408],[-90.486974,38.925982],[-90.482419,38.94446],[-90.472122,38.958838],[-90.440078,38.967364],[-90.395816,38.960037],[-90.309454,38.92412],[-90.250248,38.919344],[-90.109407,38.843548],[-90.123107,38.798048],[-90.166409,38.772649],[-90.176309,38.754449],[-90.20991,38.72605],[-90.20921,38.70275],[-90.18641,38.67475],[-90.181325,38.660381],[-90.17801,38.63375],[-90.18451,38.611551],[-90.196011,38.594451],[-90.222112,38.576451],[-90.260314,38.528352],[-90.285215,38.443453],[-90.295316,38.426753],[-90.349743,38.377609],[-90.368219,38.340254],[-90.373929,38.281853],[-90.353902,38.213855],[-90.331554,38.18758],[-90.290765,38.170453],[-90.274928,38.157615],[-90.243116,38.112669],[-90.218708,38.094365],[-90.17222,38.069636],[-90.158533,38.074735],[-90.130788,38.062341],[-90.126612,38.043981],[-90.11052,38.026547],[-90.08826,38.015772],[-90.059367,38.015543],[-90.051357,38.003584],[-90.03241,37.995258],[-90.00011,37.964563],[-89.978919,37.962791],[-89.942099,37.970121],[-89.933797,37.959143],[-89.925085,37.960021],[-89.932467,37.947497],[-89.959646,37.940196],[-89.974918,37.926719],[-89.952499,37.883218],[-89.923185,37.870672],[-89.901832,37.869822],[-89.844786,37.905572],[-89.799333,37.881517],[-89.796087,37.859505],[-89.786369,37.851734],[-89.782035,37.855092],[-89.739873,37.84693],[-89.71748,37.825724],[-89.669644,37.799922],[-89.660227,37.781032],[-89.667993,37.759484],[-89.665546,37.752095],[-89.64953,37.745498],[-89.617278,37.74972],[-89.612478,37.740036],[-89.596566,37.732886],[-89.583316,37.713261],[-89.516685,37.692762],[-89.51204,37.680985],[-89.517718,37.641217],[-89.478399,37.598869],[-89.47603,37.590226],[-89.486062,37.580853],[-89.519808,37.582748],[-89.521925,37.560735],[-89.517051,37.537278],[-89.475525,37.471388],[-89.439769,37.4372],[-89.421054,37.387668],[-89.432836,37.347056],[-89.489005,37.333368],[-89.511842,37.310825],[-89.51834,37.285497],[-89.489915,37.251315],[-89.470525,37.253357],[-89.458827,37.248661],[-89.467631,37.2182],[-89.456105,37.18812],[-89.42558,37.138235],[-89.37871,37.094586],[-89.375712,37.080505],[-89.384681,37.048251],[-89.362397,37.030156],[-89.322982,37.01609],[-89.29213,36.992189],[-89.278628,36.98867],[-89.263527,37.00005],[-89.257608,37.015496],[-89.260003,37.023288],[-89.304752,37.047565],[-89.310819,37.057897],[-89.30829,37.068371],[-89.259936,37.064071],[-89.25493,37.072014],[-89.234053,37.037277],[-89.200793,37.016164],[-89.192097,36.979995],[-89.185491,36.973518],[-89.170008,36.970298],[-89.125069,36.983499],[-89.109498,36.976563],[-89.099594,36.964543],[-89.100762,36.944002],[-89.117567,36.887356],[-89.131944,36.857437],[-89.137969,36.847349],[-89.1704,36.841522],[-89.178888,36.831368],[-89.179229,36.812915],[-89.171069,36.798119],[-89.155891,36.789126],[-89.12353,36.785309],[-89.116563,36.767557],[-89.126134,36.751735],[-89.166888,36.759633],[-89.184523,36.753638],[-89.197808,36.739412],[-89.19948,36.716045],[-89.169522,36.688878],[-89.169467,36.674596],[-89.15908,36.666352],[-89.197654,36.628936],[-89.202607,36.601576],[-89.217447,36.576159],[-89.236542,36.566824],[-89.258318,36.564948],[-89.278935,36.577699],[-89.326731,36.632186],[-89.365548,36.625059],[-89.375453,36.615719],[-89.382762,36.583603],[-89.41977,36.493896],[-89.448468,36.46442],[-89.464153,36.457189],[-89.486215,36.46162],[-89.494248,36.475972],[-89.465888,36.529946],[-89.467761,36.546847],[-89.479093,36.568206],[-89.500076,36.576305],[-89.542459,36.580566],[-89.566817,36.564216],[-89.571241,36.547343],[-89.560344,36.525436],[-89.519501,36.475419],[-89.523427,36.456572],[-89.543406,36.43877],[-89.545255,36.427079],[-89.509722,36.373626],[-89.519,36.3486],[-89.545006,36.336809]]]},\"properties\":{\"name\":\"Missouri\",\"nation\":\"USA \"}}]}","volume":"42","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fournier, Ariel M.","contributorId":351134,"corporation":false,"usgs":false,"family":"Fournier","given":"Ariel M.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":927964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mengel, Doreen C.","contributorId":351135,"corporation":false,"usgs":false,"family":"Mengel","given":"Doreen C.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":927965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gbur, Edward","contributorId":351136,"corporation":false,"usgs":false,"family":"Gbur","given":"Edward","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":927966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raedeke, Andy","contributorId":341916,"corporation":false,"usgs":false,"family":"Raedeke","given":"Andy","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":927967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":927968,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204078,"text":"70204078 - 2019 - Spatial conservation planning under uncertainty: Adapting to climate change risks using modern portfolio theory","interactions":[],"lastModifiedDate":"2020-12-08T18:02:17.95215","indexId":"70204078","displayToPublicDate":"2019-06-27T12:47:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spatial conservation planning under uncertainty: Adapting to climate change risks using modern portfolio theory","docAbstract":"Climate change and urban growth impact habitats, species, and ecosystem services. To buffer against global change, an established adaptation strategy is designing protected areas to increase representation and complementarity of biodiversity features. Uncertainty regarding the scale and magnitude of landscape change complicates reserve planning and exposes decision makers to risk of failing to meet conservation goals. Conservation planning tends to treat risk as an absolute measure, ignoring the context of the management problem and risk preferences of stakeholders. Application to conservation of risk management theory emphasizes diversification of portfolio of assets, with the goal of reducing the impact of system volatility on investment return. We use principles of Modern Portfolio Theory (MPT), which quantifies risk as the variance and correlation among assets, to formalize diversification as an explicit strategy for managing risk in climate‐driven reserve design. We extend MPT to specify a framework that evaluates multiple conservation objectives, allows decision makers to balance management benefits and risk when preferences are contested or unknown, and includes additional decision options such as parcel divestment when evaluating candidate reserve designs. We apply an efficient search algorithm that optimizes portfolio design for large conservation problems and a game theoretic approach to evaluate portfolio tradeoffs that satisfy decision makers with divergent benefit and risk tolerances, or when a single decision maker cannot resolve their own preferences. Evaluating several risk profiles for a case study in South Carolina, our results suggest that a reserve design may be somewhat robust to differences in risk attitude but that budgets will likely be important determinants of conservation planning strategies, particularly when divestment is considered a viable alternative. We identify a possible fiscal threshold where adequate resources allow protecting a sufficiently diverse portfolio of habitats such that the risk of failing to achieve conservation objectives is considerably lower. For a range of sea‐level rise projections, conversion of habitat to open water (14‐180%) and wetland loss (1‐7%) are unable to be compensated under the current protected network. In contrast, optimal reserve design outcomes are predicted to ameliorate expected losses relative to current and future habitat protected under the existing conservation estate.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1962","usgsCitation":"Eaton, M., Yurek, S., Haider, Z., Martin, J., Johnson, F., Udell, B., Charkhgard, H., and Kwon, C., 2019, Spatial conservation planning under uncertainty: Adapting to climate change risks using modern portfolio theory: Ecological Applications, v. 29, no. 2, e01962, 19 p., https://doi.org/10.1002/eap.1962.","productDescription":"e01962, 19 p.","ipdsId":"IP-103774","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":365283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Cape Romain National Wildlife Refuge, Frances Marion National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.727783203125,\n 32.812670070909164\n ],\n [\n -79.58770751953125,\n 32.90265033334125\n ],\n [\n -79.48333740234375,\n 33.00405687168934\n ],\n [\n -79.36248779296874,\n 33.0063602132054\n ],\n [\n -79.33502197265625,\n 33.06622597514673\n ],\n [\n -79.34600830078125,\n 33.08463802391685\n ],\n [\n -79.25537109375,\n 33.116849834921005\n ],\n [\n -79.1949462890625,\n 33.167444534375925\n ],\n [\n -79.18121337890625,\n 33.201924189778936\n ],\n [\n -79.16473388671875,\n 33.33970700424026\n ],\n [\n -79.0631103515625,\n 33.520789053588494\n ],\n [\n -79.19219970703125,\n 33.552840110956154\n ],\n [\n -79.60693359375,\n 33.48414472606364\n ],\n [\n -79.92828369140625,\n 33.50475906922609\n ],\n [\n -80.0518798828125,\n 33.47727218776036\n ],\n [\n -79.97222900390625,\n 33.36264966025664\n ],\n [\n -79.991455078125,\n 33.3442960191357\n ],\n [\n -80.0079345703125,\n 33.32364354794104\n ],\n [\n -79.969482421875,\n 33.29839499061643\n ],\n [\n -79.98321533203125,\n 33.25476662931654\n ],\n [\n -80.02716064453125,\n 33.23409295522519\n ],\n [\n -80.15625,\n 32.923402043498875\n ],\n [\n -80.07659912109375,\n 32.8334428466495\n ],\n [\n -79.727783203125,\n 32.812670070909164\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":216712,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":765410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216713,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":765411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haider, Zulqarnain","contributorId":216714,"corporation":false,"usgs":false,"family":"Haider","given":"Zulqarnain","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":765412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","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":765417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Fred 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":216715,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":765413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Udell, Bradley","contributorId":216709,"corporation":false,"usgs":false,"family":"Udell","given":"Bradley","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":765414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Charkhgard, Hadi","contributorId":216710,"corporation":false,"usgs":false,"family":"Charkhgard","given":"Hadi","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":765415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kwon, Changhyun","contributorId":216711,"corporation":false,"usgs":false,"family":"Kwon","given":"Changhyun","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":765416,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70204058,"text":"70204058 - 2019 - A novel host-adapted strain of Salmonella Typhimurium causes disease in olive ridley turtles (Lepidochelys olivacea) in the Pacific.","interactions":[],"lastModifiedDate":"2023-06-21T15:41:19.717499","indexId":"70204058","displayToPublicDate":"2019-06-27T12:02:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A novel host-adapted strain of Salmonella Typhimurium causes disease in olive ridley turtles (Lepidochelys olivacea) in the Pacific.","title":"A novel host-adapted strain of Salmonella Typhimurium causes disease in olive ridley turtles (Lepidochelys olivacea) in the Pacific.","docAbstract":"Salmonella spp. are frequently shed by wildlife including turtles, but S. enterica subsp. enterica serovar Typhimurium or lesions associated with Salmonella are rare in turtles. Between 1996 and 2016, we necropsied 127 apparently healthy pelagic olive ridley turtles (Lepidochelys olivacea) that died from drowning bycatch in fisheries and 44 live or freshly dead stranded turtles from the west coast of North and Central America and Hawaii. Seven % (9/127) of pelagic and 47% (21/44) of stranded turtles had renal granulomas associated with S. Typhimurium. Stranded animals were 12 times more likely than pelagic animals to have Salmonella-induced nephritis suggesting that Salmonella may have been a contributing cause of stranding. S. Typhimurium was the only Salmonella serovar detected in L. olivacea, and phylogenetic analysis from whole genome sequencing showed that the isolates from L. olivacea formed a single clade distinct from other S. Typhimurium. Molecular clock analysis revealed that this novel clade may have originated as recently as a few decades ago. The phylogenetic lineage leading to this group is enriched for non-synonymous changes within the genomic area of Salmonella pathogenicity island 1 suggesting that these genes are important for host adaptation.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-019-45752-5","usgsCitation":"Work, T.M., Dagenais, J., Stacy, B.A., Ladner, J.T., Lorch, J.M., Balazs, G.H., Barquero-Calvo, E., Berlowski-Zier, B.M., Breeden, R., Corrales-Gomez, N., Gonzalez-Barrientos, R., Harris, H., Hernandez-Mora, G., Herrera-Ulloa, A., Hesami, S., Jones, T.T., Morales, J., Norton, T.M., Rameyer, R., Taylor, D., and Waltzek, T.B., 2019, A novel host-adapted strain of Salmonella Typhimurium causes disease in olive ridley turtles (Lepidochelys olivacea) in the Pacific.: Scientific Reports, v. 9, 9313, 13 p.; Data Release, https://doi.org/10.1038/s41598-019-45752-5.","productDescription":"9313, 13 p.; Data Release","ipdsId":"IP-108018","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":460345,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-45752-5","text":"Publisher Index Page"},{"id":418299,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O4NDD2"},{"id":365279,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica, El Salvador, Mexico, United States","state":"California, Hawaii, Oregon, Washington","otherGeospatial":"Pacific Ocean, Tinian Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.62890625,\n 48.45835188280866\n ],\n [\n -179.9,\n 39.36827914916014\n ],\n [\n -179.9,\n -14.604847155053898\n ],\n [\n -77.82714843749999,\n 7.18810087117902\n ],\n [\n -79.2333984375,\n 8.928487062665504\n ],\n [\n -80.5078125,\n 8.102738577783168\n ],\n [\n -79.98046875,\n 7.449624260197816\n ],\n [\n -80.771484375,\n 7.18810087117902\n ],\n [\n -81.4306640625,\n 7.710991655433217\n ],\n [\n -82.265625,\n 8.102738577783168\n ],\n [\n -82.880859375,\n 8.102738577783168\n ],\n [\n -83.84765625,\n 8.624472107633936\n ],\n [\n -83.75976562499999,\n 9.188870084473406\n ],\n [\n -84.90234375,\n 9.535748998133627\n ],\n [\n -85.60546875,\n 10.31491928581316\n ],\n [\n -86.044921875,\n 11.26461221250444\n ],\n [\n -87.01171875,\n 11.867350911459308\n ],\n [\n -87.275390625,\n 12.897489183755892\n ],\n [\n -90.263671875,\n 13.752724664396988\n ],\n [\n -91.0546875,\n 13.66733825965496\n ],\n [\n -92.373046875,\n 14.604847155053898\n ],\n [\n -94.833984375,\n 16.29905101458183\n ],\n [\n -96.50390625,\n 15.453680224345835\n ],\n [\n -98.96484375,\n 16.29905101458183\n ],\n [\n -101.77734374999999,\n 17.644022027872726\n ],\n [\n -102.919921875,\n 17.895114303749143\n ],\n [\n -104.765625,\n 19.228176737766262\n ],\n [\n -109.86328125,\n 22.59372606392931\n ],\n [\n -114.873046875,\n 27.605670826465445\n ],\n [\n -116.89453125,\n 31.50362930577303\n ],\n [\n -117.59765625,\n 33.43144133557529\n ],\n [\n -118.65234374999999,\n 33.87041555094183\n ],\n [\n -119.17968749999999,\n 34.016241889667015\n ],\n [\n -119.794921875,\n 34.379712580462204\n ],\n [\n -120.58593749999999,\n 34.45221847282654\n ],\n [\n -122.34374999999999,\n 37.020098201368114\n ],\n [\n -122.958984375,\n 37.85750715625203\n ],\n [\n -123.92578125,\n 39.095962936305476\n ],\n [\n -124.45312499999999,\n 40.58058466412761\n ],\n [\n -124.1015625,\n 41.31082388091818\n ],\n [\n -124.62890625,\n 42.94033923363181\n ],\n [\n -124.01367187499999,\n 44.402391829093915\n ],\n [\n -124.1015625,\n 47.21956811231547\n ],\n [\n -124.62890625,\n 48.45835188280866\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 179.79,\n 39.36\n ],\n [\n 145,\n 39.36\n ],\n [\n 145,\n -14.6\n ],\n [\n 179.79,\n -14.6\n ],\n [\n 179.79,\n 39.36\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":765319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dagenais, Julie 0000-0001-5560-9946 jdagenais@usgs.gov","orcid":"https://orcid.org/0000-0001-5560-9946","contributorId":5955,"corporation":false,"usgs":true,"family":"Dagenais","given":"Julie","email":"jdagenais@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":765320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stacy, Brian A.","contributorId":216682,"corporation":false,"usgs":false,"family":"Stacy","given":"Brian","email":"","middleInitial":"A.","affiliations":[{"id":39500,"text":"NOAA Fisheries, Office of Protected Resources, University of Florida, Gainesville, Florida, 32603, United States of America","active":true,"usgs":false}],"preferred":false,"id":765321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ladner, Jason T.","contributorId":216683,"corporation":false,"usgs":false,"family":"Ladner","given":"Jason","email":"","middleInitial":"T.","affiliations":[{"id":39501,"text":"Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, 86011, United States of America","active":true,"usgs":false}],"preferred":false,"id":765322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":765323,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balazs, George H.","contributorId":127680,"corporation":false,"usgs":false,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":765324,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barquero-Calvo, Elias","contributorId":216684,"corporation":false,"usgs":false,"family":"Barquero-Calvo","given":"Elias","email":"","affiliations":[{"id":39502,"text":"Escuela de Medicina Veterinaria (EMV), Universidad Nacional Costa Rica, Heredia, 3000, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":765325,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berlowski-Zier, Brenda M. 0000-0002-7922-8352 bberlowski-zier@usgs.gov","orcid":"https://orcid.org/0000-0002-7922-8352","contributorId":4288,"corporation":false,"usgs":true,"family":"Berlowski-Zier","given":"Brenda","email":"bberlowski-zier@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":765326,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Breeden, Renee 0000-0001-5910-3627 rbreeden@usgs.gov","orcid":"https://orcid.org/0000-0001-5910-3627","contributorId":149679,"corporation":false,"usgs":true,"family":"Breeden","given":"Renee","email":"rbreeden@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":765327,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Corrales-Gomez, Natalia","contributorId":216685,"corporation":false,"usgs":false,"family":"Corrales-Gomez","given":"Natalia","email":"","affiliations":[{"id":39503,"text":"Parque Marino del Pacífico-Universidad Nacional Costa Rica, Puntarenas, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":765328,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gonzalez-Barrientos, Rocio","contributorId":216686,"corporation":false,"usgs":false,"family":"Gonzalez-Barrientos","given":"Rocio","email":"","affiliations":[{"id":39504,"text":"Pathology Area National Service of Animal Health (SENASA), Ministry of Agriculture and Livestock, Heredia, 3000, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":765329,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Harris, Heather","contributorId":216687,"corporation":false,"usgs":false,"family":"Harris","given":"Heather","affiliations":[{"id":39505,"text":"NOAA Fisheries West Coast Region, Morro Bay, California, United States of America","active":true,"usgs":false}],"preferred":false,"id":765330,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hernandez-Mora, Gabriela","contributorId":216688,"corporation":false,"usgs":false,"family":"Hernandez-Mora","given":"Gabriela","email":"","affiliations":[{"id":39504,"text":"Pathology Area National Service of Animal Health (SENASA), Ministry of Agriculture and Livestock, Heredia, 3000, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":765331,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Herrera-Ulloa, Angel","contributorId":216689,"corporation":false,"usgs":false,"family":"Herrera-Ulloa","given":"Angel","email":"","affiliations":[{"id":39506,"text":"Department of Infectious Diseases and Immunology, College of Veterinary Medicine,","active":true,"usgs":false}],"preferred":false,"id":765332,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hesami, Shoreh","contributorId":216690,"corporation":false,"usgs":false,"family":"Hesami","given":"Shoreh","email":"","affiliations":[{"id":39506,"text":"Department of Infectious Diseases and Immunology, College of Veterinary Medicine,","active":true,"usgs":false}],"preferred":false,"id":765333,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Jones, T. Todd","contributorId":205518,"corporation":false,"usgs":false,"family":"Jones","given":"T.","email":"","middleInitial":"Todd","affiliations":[],"preferred":false,"id":765334,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Morales, Juan Alberto","contributorId":216691,"corporation":false,"usgs":false,"family":"Morales","given":"Juan Alberto","affiliations":[{"id":39502,"text":"Escuela de Medicina Veterinaria (EMV), Universidad Nacional Costa Rica, Heredia, 3000, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":765335,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Norton, Terry M.","contributorId":195875,"corporation":false,"usgs":false,"family":"Norton","given":"Terry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":765336,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Rameyer, Robert 0000-0002-2145-1746 bob_rameyer@usgs.gov","orcid":"https://orcid.org/0000-0002-2145-1746","contributorId":150128,"corporation":false,"usgs":true,"family":"Rameyer","given":"Robert","email":"bob_rameyer@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":765337,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Taylor, Daniel 0000-0001-5391-0321","orcid":"https://orcid.org/0000-0001-5391-0321","contributorId":216693,"corporation":false,"usgs":true,"family":"Taylor","given":"Daniel","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":765339,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Waltzek, Thomas B.","contributorId":216692,"corporation":false,"usgs":false,"family":"Waltzek","given":"Thomas","email":"","middleInitial":"B.","affiliations":[{"id":39506,"text":"Department of Infectious Diseases and Immunology, College of Veterinary Medicine,","active":true,"usgs":false}],"preferred":false,"id":765338,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70203662,"text":"sir20195050 - 2019 - Flood-inundation maps for the Iowa River at the Meskwaki Settlement in Iowa, 2019","interactions":[],"lastModifiedDate":"2019-06-27T12:31:59","indexId":"sir20195050","displayToPublicDate":"2019-06-27T11:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5050","displayTitle":"Flood-Inundation Maps for the Iowa River at the Meskwaki Settlement in Iowa, 2019","title":"Flood-inundation maps for the Iowa River at the Meskwaki Settlement in Iowa, 2019","docAbstract":"Digital flood-inundation maps for a 9.3-mile reach of the Iowa River along the Meskwaki Settlement, Iowa, were created by the U.S. Geological Survey (USGS) in cooperation with the Sac and Fox Tribe of the Mississippi in Iowa. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage 05451770 on the Iowa River at County Highway E49 near Tama, Iowa. Near-real-time stages at this streamgage may be obtained on the internet from the USGS National Water Information System at https://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at https://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site.
Flood profiles were computed for the stream reach by means of a calibrated one-dimensional and two-dimensional step-backwater hydraulic model. The model was calibrated by using the current stage-discharge relation at the USGS streamgage 05451770 on the Iowa River at County Highway E49 near Tama, Iowa, and stage and discharge data from historic flooding events that were recorded at the streamgage.
The hydraulic model was then used to compute eight water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from the NWS “action stage” of 11 feet (ft) to 18 ft, the stage exceeding the estimated 0.2-percent annual exceedance probability (500-year recurrence interval) flood, as determined at the USGS streamgage 05451770. The simulated water-surface profiles were then combined with a geographic information system digital elevation model to delineate the area flooded at each flood stage (water level).
In addition, potential modifications to hydraulic structures within the flood plain were modeled so any effects from the potential modifications could be evaluated. Four comparison points, which were along the flood plain, showed little to no change (less than 0.1 ft) in flood elevation from the existing conditions within the flood plain for the 11- to 16-ft stages as referenced to the USGS streamgage 05451770. There were greater changes (more than 0.1 ft) in flood elevation for the 2 comparison points that were closest to the modified hydraulic structure for the 2 highest modeled stages of 17 and 18 ft.
The availability of these maps, along with internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195050","collaboration":"Prepared in cooperation with the Sac and Fox Tribe of the Mississippi in Iowa","usgsCitation":"Cigrand, C.V., 2019, Flood-inundation maps for the Iowa River at the Meskwaki Settlement in Iowa, 2019: U.S. Geological Survey Scientific Investigations Report 2019–5050, 12 p., https://doi.org/10.3133/sir20195050.","productDescription":"12 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-103795","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":365048,"rank":3,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/P912FO3L ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial datasets for the flood-inundation study for the Iowa River at the Meskwaki Settlement in Iowa, 2019"},{"id":365046,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5050/coverthb.jpg"},{"id":365047,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5050/sir20195050.pdf","text":"Report","size":"26.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5050"}],"country":"United States","state":"Iowa","otherGeospatial":"Meskwaki Settlement","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.7175,41.916666666666664 ], [ -92.7175,42.034166666666664 ], [ -92.55,42.034166666666664 ], [ -92.55,41.916666666666664 ], [ -92.7175,41.916666666666664 ] ] ] } } ] }","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street, Suite 269
Iowa City, IA 52240
We present a petrologic and mineral physics database as part of the U.S. Geological Survey National Crustal Model (NCM). Each of 209 geologic units, 134 of which are currently part of the geologic framework within the NCM, was assigned a mineralogical composition according to generalized classifications with some refinement for specific geologic formations. This report is concerned with the petrology and mineral physics of each geologic unit within the NCM, which control the physical behavior of the solid mineral matrix within the rock.
This mineral physics database builds on the work of Abers and Hacker to include 13 minerals specific to continental rock types. We explored the effect of this database on zero-porosity anharmonic P- and S-wave rock velocities and density relative to a well-used empirical study of relations between wavespeeds and density by Brocher. We found that empirical relations between P-wave velocity and S-wave velocity or density do well on average but can differ from mineral physics calculations by up to 15 percent in S-wave velocity and almost 40 percent in density. This is consistent with Brocher’s study where he obtained similar results for in situ measurements and laboratory rock specimens.
Additionally, the substantial presence of quartz in many rocks plays a major role in crustal seismic velocities and density due to quartz’s α–β phase transition, which can interfere with these empirical relationships. With increasing depth, quartz P-wave velocity can suddenly jump by 15 percent accompanied by little change in S-wave velocity and a modest decrease in density. Empirical relations based on observed P-wave velocity where P-wave velocity is positively correlated with S-wave velocity and density would then significantly overestimate both S-wave velocity and density.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191035","usgsCitation":"Sowers, T., and Boyd, O.S., 2019, Petrologic and mineral physics database for use with the U.S. Geological Survey National Crustal Model: U.S. Geological Survey Open-File Report 2019–1035, 17 p.,https://doi.org/10.3133/ofr20191035.","productDescription":"17 p.","onlineOnly":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437403,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FK25WM","text":"USGS data release","linkHelpText":"MinVel"},{"id":364257,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HN170G","text":"USGS data release","linkHelpText":"Petrologic and Mineral Physics Database for use with the USGS National Crustal Model - Data Release"},{"id":365082,"rank":4,"type":{"id":4,"text":"Application Site"},"url":"https://github.com/usgs/MinVel","text":"MinVel ","linkHelpText":"software that supports this report is available in the GitHub repository."},{"id":364255,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1035/coverthb.jpg"},{"id":364256,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1035/ofr20191035.pdf","text":"Report","size":"1.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1035"}],"contact":"Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, MS-966
Denver, CO 80225-0046
Information concerning the availability, use, and quality of water in East Carroll Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, 39.63 million gallons per day (Mgal/d) of water were withdrawn in East Carroll Parish: 32.43 Mgal/d from groundwater sources and 7.20 Mgal/d from surface-water sources. Withdrawals for agricultural use—composed of general irrigation, rice irrigation, and livestock—accounted for 97 percent (38.55 Mgal/d) of the total water withdrawn. Other categories of use included public supply and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 1980 at 47.96 Mgal/d.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193014","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of East Carroll Parish, Louisiana: U.S. Geological Survey Fact Sheet 2019–3014, 6 p., https://doi.org/10.3133/fs20193014.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-081702","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":365084,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3014/fs20193014.pdf","text":"Report","size":"929 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3014"},{"id":365083,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3014/coverthb.jpg"},{"id":365085,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"}],"country":"United States","state":"Louisiana","county":"East Carroll Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.1631,33.0045],[-91.1648,33.0007],[-91.1676,32.9966],[-91.1679,32.9962],[-91.172,32.9907],[-91.1771,32.9856],[-91.1813,32.9825],[-91.1868,32.9784],[-91.1901,32.9757],[-91.1944,32.9736],[-91.1965,32.9713],[-91.199,32.9676],[-91.1999,32.9635],[-91.2002,32.9585],[-91.2017,32.954],[-91.2038,32.9507],[-91.2055,32.9471],[-91.2081,32.9434],[-91.211,32.9362],[-91.2126,32.9303],[-91.2116,32.9239],[-91.2094,32.9184],[-91.205,32.9138],[-91.1994,32.9094],[-91.1906,32.9049],[-91.1824,32.9027],[-91.1742,32.901],[-91.1679,32.9005],[-91.1616,32.9007],[-91.1554,32.9014],[-91.1488,32.9037],[-91.1428,32.9068],[-91.1388,32.9095],[-91.1345,32.9132],[-91.1323,32.9169],[-91.1307,32.921],[-91.1303,32.9256],[-91.1303,32.9319],[-91.131,32.9374],[-91.1327,32.9424],[-91.1344,32.9492],[-91.1366,32.956],[-91.1283,32.9601],[-91.1391,32.9705],[-91.1332,32.9774],[-91.1277,32.9814],[-91.1211,32.9855],[-91.1147,32.9872],[-91.1098,32.9877],[-91.1043,32.9868],[-91.0998,32.9845],[-91.0966,32.9819],[-91.0916,32.9778],[-91.0877,32.9729],[-91.0849,32.9683],[-91.0838,32.9638],[-91.0834,32.9621],[-91.0688,32.9321],[-91.064,32.9052],[-91.0809,32.8777],[-91.1028,32.8602],[-91.1455,32.8427],[-91.1541,32.8238],[-91.1544,32.8233],[-91.1568,32.819],[-91.1597,32.8114],[-91.1624,32.8008],[-91.1628,32.7941],[-91.1621,32.7886],[-91.1599,32.7841],[-91.1582,32.7805],[-91.1576,32.7768],[-91.1597,32.7736],[-91.1624,32.7695],[-91.1647,32.7653],[-91.1656,32.7613],[-91.1638,32.7572],[-91.1616,32.7527],[-91.155,32.7459],[-91.1463,32.7429],[-91.1392,32.7416],[-91.1326,32.7416],[-91.1255,32.7416],[-91.12,32.7408],[-91.1167,32.7402],[-91.1102,32.7386],[-91.1063,32.7377],[-91.101,32.7373],[-91.0976,32.7374],[-91.0916,32.737],[-91.0863,32.7373],[-91.0798,32.7363],[-91.0758,32.7353],[-91.0705,32.734],[-91.0656,32.7313],[-91.0598,32.7282],[-91.0559,32.7227],[-91.0548,32.7168],[-91.0542,32.7136],[-91.0558,32.7095],[-91.0585,32.7072],[-91.0622,32.704],[-91.0671,32.7008],[-91.0709,32.6985],[-91.0745,32.6958],[-91.079,32.6929],[-91.0817,32.6911],[-91.0871,32.689],[-91.0931,32.6854],[-91.1006,32.68],[-91.1087,32.6735],[-91.1155,32.6672],[-91.1184,32.6647],[-91.1227,32.6624],[-91.1276,32.6592],[-91.134,32.6555],[-91.1395,32.6531],[-91.145,32.6491],[-91.1494,32.6459],[-91.1527,32.6432],[-91.1543,32.6396],[-91.1545,32.6371],[-91.1549,32.6316],[-91.1532,32.6261],[-91.1495,32.6182],[-91.1431,32.6077],[-91.1387,32.6008],[-91.1333,32.5935],[-91.1282,32.5913],[-91.1217,32.5905],[-91.1119,32.5906],[-91.0996,32.5929],[-91.0876,32.5975],[-91.0772,32.602],[-91.068,32.6047],[-91.0609,32.606],[-91.0555,32.6075],[-91.0489,32.6128],[-91.0461,32.6164],[-91.0428,32.6214],[-91.0406,32.6264],[-91.0395,32.6301],[-91.0384,32.6342],[-91.0367,32.6387],[-91.0336,32.6414],[-91.0298,32.6433],[-91.0244,32.6442],[-91.0211,32.6438],[-91.0162,32.642],[-91.0102,32.6366],[-91.0052,32.6304],[-91.0029,32.6244],[-91.0031,32.6181],[-91.0042,32.6117],[-91.007,32.6067],[-91.0114,32.6024],[-91.0157,32.599],[-91.0201,32.5958],[-91.0243,32.5937],[-91.0275,32.5918],[-91.0297,32.5882],[-91.0318,32.5849],[-91.036,32.5809],[-91.0387,32.5786],[-91.04,32.5778],[-91.0436,32.5754],[-91.0491,32.5734],[-91.0551,32.5709],[-91.0594,32.5692],[-91.0621,32.5683],[-91.0658,32.5664],[-91.0702,32.5645],[-91.0749,32.5627],[-91.1084,32.5629],[-91.109,32.5565],[-91.1303,32.5457],[-91.1341,32.5379],[-91.1711,32.5376],[-91.2005,32.5377],[-91.2141,32.5377],[-91.3718,32.538],[-91.3903,32.5376],[-91.4577,32.5376],[-91.4555,32.5413],[-91.4457,32.5431],[-91.4414,32.5435],[-91.4387,32.5467],[-91.4425,32.5504],[-91.4425,32.5526],[-91.4354,32.5563],[-91.431,32.5613],[-91.4452,32.58],[-91.4457,32.5818],[-91.443,32.5868],[-91.4326,32.5927],[-91.4277,32.5996],[-91.419,32.6005],[-91.4158,32.6036],[-91.4098,32.6032],[-91.4016,32.6059],[-91.3951,32.6118],[-91.3961,32.6146],[-91.4021,32.615],[-91.4048,32.6178],[-91.4054,32.6264],[-91.4016,32.6301],[-91.4005,32.631],[-91.3999,32.6337],[-91.4037,32.6369],[-91.401,32.6423],[-91.395,32.6451],[-91.395,32.6565],[-91.4015,32.6587],[-91.4021,32.6647],[-91.4026,32.672],[-91.401,32.6815],[-91.4004,32.6893],[-91.3977,32.6938],[-91.3922,32.6929],[-91.3873,32.6902],[-91.383,32.6888],[-91.3764,32.6888],[-91.3737,32.692],[-91.3748,32.6974],[-91.3775,32.6997],[-91.3764,32.7047],[-91.3753,32.7097],[-91.3753,32.7134],[-91.3726,32.7179],[-91.3677,32.7243],[-91.3616,32.7343],[-91.3584,32.7402],[-91.3534,32.7439],[-91.3491,32.747],[-91.3458,32.7502],[-91.3458,32.7561],[-91.3463,32.7602],[-91.3474,32.763],[-91.3447,32.7771],[-91.3425,32.7835],[-91.3425,32.7944],[-91.3424,32.8017],[-91.3435,32.8089],[-91.3419,32.8135],[-91.3413,32.8217],[-91.3489,32.824],[-91.3473,32.8395],[-91.344,32.8454],[-91.3418,32.8545],[-91.3396,32.8622],[-91.3347,32.8658],[-91.3303,32.8722],[-91.3254,32.8713],[-91.3232,32.8654],[-91.3205,32.8649],[-91.3155,32.8695],[-91.3161,32.8749],[-91.3133,32.8808],[-91.3106,32.8827],[-91.3138,32.8977],[-91.3155,32.9022],[-91.3149,32.9082],[-91.3138,32.9136],[-91.3028,32.925],[-91.3056,32.9305],[-91.3072,32.9318],[-91.3105,32.9359],[-91.3061,32.9414],[-91.3006,32.9482],[-91.2929,32.9491],[-91.2869,32.9505],[-91.2831,32.9504],[-91.2771,32.9545],[-91.2765,32.9609],[-91.2792,32.9759],[-91.2748,32.9755],[-91.2699,32.9732],[-91.2683,32.9773],[-91.2742,32.9859],[-91.2715,32.9896],[-91.2644,32.9918],[-91.2627,33.0009],[-91.2605,33.005],[-91.1631,33.0045]]]},\"properties\":{\"name\":\"East Carroll\",\"state\":\"LA\"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
Since 2014, the U.S. Geological Survey has been working in cooperation with the Bureau of Land Management, Mono County, Ormat Technologies, Inc., and the Mammoth Community Water District to design and implement a groundwater-monitoring program for the proposed Casa Diablo IV Geothermal Power Project in Long Valley Caldera, California, to characterize baseline groundwater-level, water-temperature, and water-chemistry conditions at dedicated monitoring wells and municipal supply wells. The publicly available data and the analyses provided here represent quality-assured and peer-reviewed information to help with the management of the thermal and non-thermal water resources beneath and in the vicinity of the town of Mammoth Lakes, California.
The methods of data collection for continuous water levels and quarterly water-temperature profiles for two 600-foot-deep monitoring wells during 2016 through 2017 are discussed. Also discussed are the methods of water-sample collection and characterizations of the water chemistry in numerous wells in the multilayered aquifer system beneath Mammoth Lakes. Additionally, the methodology used to develop digital (mathematical) filters to remove or reduce the effects of barometric pressure and solid Earth tides on the continuous water-level records is discussed.
Digitally filtered water levels for a 2017 flow test of a deep geothermal production well are described, and various aquifer responses observed during the flow test are discussed. These are further considered in a companion evaluation of potential physical and chemical influences on the water-level data collected during the flow test.
The digitally filtered water-level data indicated that some hydraulic communication exists between the deep geothermal aquifer and shallow groundwater aquifer at the location of the flow test, northeast of Mammoth Lakes. Groundwater-chemistry data from three wells indicated that shallow groundwater naturally mixes with a small component of geothermal water along the northern periphery of the shallow aquifer system at Mammoth Lakes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191063","usgsCitation":"Howle, J.F., Evans, W.C., Galloway, D.L., Hsieh, P.A., Hurwitz, S., Smith, G.A., and Nawikas, J., 2019, Hydraulic, geochemical, and thermal monitoring of an aquifer system in the vicinity of Mammoth Lakes, Mono County, California, 2015–17: U.S. Geological Survey Open-File Report 2019–1063, 90 p., https://doi.org/10.3133/ofr20191063.","productDescription":"Report: xii, 90 p.; Data Release","numberOfPages":"90","onlineOnly":"Y","ipdsId":"IP-098793","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":437404,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ON8U5U","text":"USGS data release","linkHelpText":"Atmospheric-loading frequency response functions and groundwater-levels filtered for the effects of atmospheric loading and solid Earth tides for three monitoring wells near Mammoth Lakes, California, 2015 - 2017"},{"id":365075,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/5bdc7dcee4b0b3fc5cf01d9d","linkHelpText":"Atmospheric-loading frequency response functions and groundwater-levels filtered for the effects of atmospheric loading and solid Earth tides for three monitoring wells near Mammoth Lakes, California, 2015–2017"},{"id":364987,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1063/coverthb.jpg"},{"id":364988,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1063/ofr20191063.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1063"}],"country":"United States","state":"California","county":"Mono County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-119.5771,38.7084],[-119.5523,38.6912],[-119.5498,38.6895],[-119.4543,38.6231],[-119.4492,38.6196],[-119.3306,38.5364],[-119.2389,38.4722],[-119.218,38.4575],[-119.1743,38.4271],[-119.1538,38.4127],[-119.1416,38.4042],[-119.0196,38.3179],[-118.9933,38.2993],[-118.9547,38.272],[-118.9464,38.2663],[-118.9117,38.2417],[-118.8591,38.2047],[-118.8307,38.1843],[-118.7901,38.1554],[-118.7779,38.1467],[-118.721,38.106],[-118.6108,38.0273],[-118.5479,37.9824],[-118.5031,37.9504],[-118.4701,37.9269],[-118.4271,37.8959],[-118.3944,37.8726],[-118.3573,37.8459],[-118.2878,37.7957],[-118.1844,37.7208],[-118.1091,37.6663],[-118.0805,37.6453],[-118.0559,37.6273],[-118.0227,37.6028],[-117.9519,37.5509],[-117.8357,37.4655],[-117.918,37.4653],[-117.9794,37.4647],[-118.0009,37.4645],[-118.3135,37.463],[-118.346,37.4628],[-118.3709,37.4626],[-118.375,37.4622],[-118.4068,37.4625],[-118.4213,37.4626],[-118.4544,37.4629],[-118.5153,37.4634],[-118.5309,37.4636],[-118.5495,37.4637],[-118.5669,37.4638],[-118.5918,37.4636],[-118.6109,37.4637],[-118.6248,37.4638],[-118.6417,37.4639],[-118.7489,37.4642],[-118.7756,37.4639],[-118.7917,37.4821],[-118.8014,37.4917],[-118.8119,37.4868],[-118.8177,37.4882],[-118.8253,37.4841],[-118.834,37.4815],[-118.8392,37.4824],[-118.8526,37.477],[-118.859,37.4821],[-118.8606,37.4902],[-118.8606,37.4979],[-118.8652,37.5038],[-118.8692,37.5075],[-118.8785,37.508],[-118.8825,37.5103],[-118.8842,37.5185],[-118.8957,37.5253],[-118.9027,37.5258],[-118.9038,37.5326],[-118.9095,37.5376],[-118.917,37.5494],[-118.9275,37.5481],[-118.9379,37.5518],[-118.9425,37.56],[-118.9453,37.5636],[-118.9505,37.5646],[-118.9616,37.5619],[-118.9645,37.5578],[-118.9727,37.5588],[-118.9785,37.5565],[-118.9808,37.5602],[-118.9825,37.5643],[-118.9906,37.5666],[-119.001,37.5702],[-119.0057,37.5725],[-119.0114,37.5793],[-119.0236,37.5857],[-119.0253,37.5903],[-119.0282,37.5953],[-119.0345,37.6048],[-119.0327,37.6071],[-119.0309,37.6161],[-119.0321,37.622],[-119.0321,37.6247],[-119.043,37.6343],[-119.0506,37.6398],[-119.0534,37.6416],[-119.0603,37.6539],[-119.0626,37.6702],[-119.0695,37.6838],[-119.0764,37.6929],[-119.0932,37.7038],[-119.1013,37.7134],[-119.1065,37.722],[-119.1175,37.7302],[-119.1262,37.7329],[-119.1361,37.7357],[-119.1466,37.7335],[-119.1617,37.7362],[-119.1762,37.7367],[-119.1879,37.7367],[-119.1943,37.7372],[-119.2013,37.7354],[-119.2112,37.7205],[-119.2206,37.7146],[-119.2281,37.716],[-119.2444,37.7292],[-119.2484,37.7305],[-119.2543,37.7287],[-119.2578,37.726],[-119.2682,37.7396],[-119.2571,37.7428],[-119.253,37.7478],[-119.2548,37.7555],[-119.2489,37.7573],[-119.2431,37.7695],[-119.2384,37.7731],[-119.2308,37.7749],[-119.2262,37.7781],[-119.2203,37.7799],[-119.2186,37.7831],[-119.2139,37.7907],[-119.2075,37.7925],[-119.2028,37.7957],[-119.201,37.8016],[-119.2056,37.8102],[-119.2138,37.8134],[-119.2196,37.8198],[-119.2161,37.8247],[-119.2097,37.8261],[-119.2061,37.8283],[-119.2079,37.8333],[-119.209,37.8379],[-119.2026,37.8406],[-119.2014,37.8433],[-119.2026,37.8465],[-119.2084,37.8474],[-119.216,37.8465],[-119.2183,37.8479],[-119.2136,37.8565],[-119.2165,37.8678],[-119.2147,37.8732],[-119.2124,37.8755],[-119.2071,37.8809],[-119.2094,37.8895],[-119.2175,37.8991],[-119.2292,37.9068],[-119.2402,37.9095],[-119.2443,37.9105],[-119.256,37.9087],[-119.2618,37.91],[-119.263,37.9105],[-119.2665,37.9155],[-119.267,37.9246],[-119.2804,37.9323],[-119.2915,37.9328],[-119.2944,37.9368],[-119.2944,37.9414],[-119.3096,37.945],[-119.3154,37.9573],[-119.3218,37.9682],[-119.32,37.974],[-119.3159,37.979],[-119.3171,37.9822],[-119.3179,37.9864],[-119.3088,38.0067],[-119.3083,38.0192],[-119.3049,38.0238],[-119.312,38.0451],[-119.3225,38.0495],[-119.3235,38.0589],[-119.327,38.0658],[-119.3358,38.0661],[-119.3451,38.0827],[-119.3497,38.0842],[-119.3574,38.0828],[-119.3805,38.092],[-119.3899,38.0982],[-119.3979,38.1063],[-119.4131,38.1078],[-119.4232,38.1071],[-119.4305,38.1165],[-119.4411,38.1034],[-119.4407,38.0967],[-119.4465,38.0937],[-119.4579,38.0959],[-119.4635,38.0976],[-119.4647,38.1038],[-119.4613,38.1096],[-119.4723,38.1179],[-119.4698,38.1287],[-119.487,38.1314],[-119.4891,38.1441],[-119.4967,38.1495],[-119.4972,38.1566],[-119.4992,38.1582],[-119.5022,38.1573],[-119.5045,38.1528],[-119.5045,38.1437],[-119.5022,38.1378],[-119.5045,38.136],[-119.5162,38.1374],[-119.5303,38.1423],[-119.5461,38.1523],[-119.5502,38.1537],[-119.5677,38.155],[-119.5753,38.1577],[-119.5771,38.1623],[-119.5783,38.1758],[-119.5806,38.179],[-119.5853,38.1826],[-119.5906,38.1845],[-119.5929,38.1858],[-119.607,38.1867],[-119.6269,38.1935],[-119.6316,38.2003],[-119.6258,38.2071],[-119.624,38.2252],[-119.624,38.2288],[-119.6193,38.232],[-119.6053,38.2347],[-119.6094,38.2415],[-119.6141,38.2438],[-119.6211,38.2506],[-119.6141,38.2574],[-119.613,38.2619],[-119.6165,38.2637],[-119.62,38.2669],[-119.6276,38.2669],[-119.6323,38.2705],[-119.6358,38.2764],[-119.6452,38.2796],[-119.6482,38.2823],[-119.6494,38.2882],[-119.6441,38.2923],[-119.6435,38.2986],[-119.6447,38.3022],[-119.6412,38.3072],[-119.6429,38.314],[-119.6453,38.3217],[-119.6365,38.3286],[-119.6354,38.3294],[-119.6348,38.3308],[-119.6313,38.3372],[-119.633,38.3421],[-119.6301,38.3476],[-119.6342,38.3544],[-119.6248,38.3594],[-119.6149,38.3662],[-119.6084,38.3671],[-119.6078,38.3698],[-119.6125,38.373],[-119.6208,38.3911],[-119.6214,38.3961],[-119.6132,38.4015],[-119.6061,38.4011],[-119.6026,38.4038],[-119.5991,38.4047],[-119.5856,38.397],[-119.582,38.4007],[-119.5762,38.4034],[-119.5674,38.4056],[-119.5627,38.4093],[-119.5621,38.4165],[-119.5644,38.4215],[-119.5662,38.4247],[-119.5674,38.4283],[-119.5692,38.4356],[-119.5627,38.4378],[-119.5603,38.4446],[-119.558,38.4591],[-119.5574,38.4682],[-119.5527,38.4718],[-119.5463,38.4759],[-119.5427,38.4832],[-119.5451,38.4895],[-119.5427,38.4986],[-119.5498,38.5022],[-119.5557,38.5026],[-119.5586,38.5049],[-119.5592,38.5103],[-119.5551,38.5162],[-119.5592,38.5239],[-119.5657,38.5298],[-119.5687,38.5421],[-119.5734,38.5452],[-119.5781,38.5484],[-119.5857,38.5552],[-119.5869,38.5674],[-119.5893,38.5706],[-119.5928,38.5769],[-119.5958,38.5842],[-119.597,38.5919],[-119.5987,38.5924],[-119.6129,38.5991],[-119.6188,38.6059],[-119.6223,38.6159],[-119.6194,38.6254],[-119.6165,38.6345],[-119.6159,38.6458],[-119.6159,38.6585],[-119.6159,38.6649],[-119.6118,38.668],[-119.6024,38.6703],[-119.5965,38.6762],[-119.5912,38.6907],[-119.5883,38.698],[-119.5847,38.7029],[-119.5771,38.7084]]]},\"properties\":{\"name\":\"Mono\",\"state\":\"CA\"}}]}","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bergey's manual of systematics of archaea and bacteria","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","doi":"10.1002/9781118960608.gbm01726","usgsCitation":"Oremland, R., Blum, J.S., Stolz, J.F., Saltikov, C.W., and Lanoil, B., 2019, Halarsenatibacter, chap. of Bergey's manual of systematics of archaea and bacteria, HTML Document, https://doi.org/10.1002/9781118960608.gbm01726.","productDescription":"HTML Document","ipdsId":"IP-103112","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":429496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2019-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Oremland, Ronald S. 0000-0001-7382-0147","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":257598,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":884180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blum, Jodi S. 0000-0002-1733-1506 jsblum@usgs.gov","orcid":"https://orcid.org/0000-0002-1733-1506","contributorId":225203,"corporation":false,"usgs":true,"family":"Blum","given":"Jodi","email":"jsblum@usgs.gov","middleInitial":"S.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":884176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stolz, John F.","contributorId":179305,"corporation":false,"usgs":false,"family":"Stolz","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":884177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saltikov, Chad W","contributorId":179304,"corporation":false,"usgs":false,"family":"Saltikov","given":"Chad","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":884178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lanoil, Brian","contributorId":330160,"corporation":false,"usgs":false,"family":"Lanoil","given":"Brian","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":884179,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223516,"text":"70223516 - 2019 - Cerulean Warbler (Setophaga cerulea) response to operational silviculture in the central Appalachian region","interactions":[],"lastModifiedDate":"2021-08-31T12:43:42.798781","indexId":"70223516","displayToPublicDate":"2019-06-27T07:36:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Cerulean Warbler (Setophaga cerulea) response to operational silviculture in the central Appalachian region","docAbstract":"The Cerulean Warbler (Setophaga cerulea) is a species of conservation need, with declines linked in part to forest habitat loss on its breeding grounds. Active management of forests benefit the Cerulean Warbler by creating the complex structural conditions preferred by the species, but further research is needed to determine optimal silvicultural strategies. We quantified and compared the broad-scale influence of timber harvests within central Appalachian hardwood forests on estimated abundance and territory density of Cerulean Warblers. We conducted point counts at seven study areas across three states within the central Appalachian region (West Virginia [n = 4], Kentucky [n = 1], Virginia [n = 2]) and territory mapping at two of the study areas in West Virginia, pre- and post-harvest, for up to five breeding seasons from 2013 to 2017. Our primary objective was to relate change in abundance to topographic and vegetation metrics to evaluate the effectiveness of current Cerulean Warbler habitat management guidelines. We used single-species hierarchical (N-mixture) models to estimate abundance while accounting for detection biases. Pre-harvest mean basal area among study areas was 29.3 m2/ha. Harvesting reduced mean basal area among study areas by 40% (mean 17.2 m2/ha) at harvest interior and harvest edge points. Territory density increased 100% (P = 0.003) from pre-harvest to two years post-harvest. Cerulean Warbler abundance increased with increasing percentage of basal area that comprised tree species preferred for foraging and nesting (i.e., white oak species, sugar maple [Acer saccharum], hickories) or of large diameter trees (≥40.6 cm diameter at breast height). Positive population growth was predicted to occur where these vegetation metrics were >50% of residual basal area. Post-harvest abundance at harvest interior points was greater than at reference points and when accounting for years-post-harvest in modeling abundance, Cerulean Warbler abundance increased at harvest interior and reference points two years post-harvest and subsequently decreased three years post-harvest. Modeled abundance remained the same at harvest edge points. Increases in abundance and territory density were greater in stands with low pre-harvest densities (<2 birds/point or <0.40 territory/ha) of Cerulean Warblers, whereas populations within stands with higher densities pre-harvest had minimal changes in abundance and territory density. Overall, our results indicate that harvests based on the Cerulean Warbler Management Guidelines for Enhancing Breeding Habitat in Appalachian Hardwood Forests, at all available slope positions and aspects where pre-harvest densities are <0.40 territory/ha, may provide breeding habitat for Cerulean Warblers for at least two years post-harvest in the central Appalachian region.
The State of Nebraska requires a sustainable balance between long-term water supplies and uses of groundwater and surface water and requires Natural Resources Districts to include the effect of groundwater use on surface-water systems as part of their respective integrated management plans. Recent droughts in Nebraska (2000–6; 2012–13) have amplified concerns about the long-term sustainability of groundwater and surface-water resources in the state, and concerns about the effect of groundwater irrigation on both streamflow and the water supplies needed to meet wildlife, recreational, and municipal needs. The lower Platte River provides nearly 100 percent of drinking-water supplies to Lincoln, Nebraska, 40 to 60 percent of drinking-water supplies to Omaha, Nebr., and critical aquatic and riparian habitat for threatened and endangered species. The Lower Platte River Basin-wide Management Plan has been jointly developed by the Nebraska Department of Natural Resources and seven Natural Resources Districts to address some of these concerns by managing groundwater and surface-water resources conjunctively.
To sustain flows in the lower Platte River that are needed for municipal water supplies, water managers have proposed projects aimed at temporary storage of surface water in upstream parts of the basin to mitigate periods of low flow in the lower Platte River. To increase scientific understanding and provide support for any potential future streamflow augmentation projects, the Papio-Missouri River Natural Resources District, the Lower Platte North Natural Resources District, and the Nebraska Department of Natural Resources, in cooperation with the U.S. Geological Survey, initiated this study to examine groundwater/surface-water interaction along the lower Platte and Elkhorn Rivers upstream from their confluence. The study design described herein focused on understanding seasonal characteristics of groundwater movement and interaction with surface water during periods of high groundwater demand (June through August) and low groundwater demand (all other months). Understanding how groundwater movement and interaction with surface water are affected by streamflow conditions and local groundwater demand is critical to the development of any streamflow augmentation project intended to sustain streamflow and mitigate periods of low flow in the lower Platte River.
The characteristics of groundwater movement and interaction with surface water are affected by hydrologic and local climatic conditions. For the study area, 2016–18 conditions can be broadly characterized as above normal precipitation. The flows measured at the Elkhorn River at Waterloo, Nebr., streamflow-gaging station (U.S. Geological Survey station 06800500) were above the long-term median, and the streamflow of the Platte River near Leshara, Nebr., streamflow-gaging station (06796500) remained normal or slightly above normal for the duration of this study.
Continuous streamflow and water-level data were interpreted to examine differences in groundwater movement and interaction with surface water between the Platte and Elkhorn Rivers during high and low groundwater demand periods. Although the streamflow for the Platte and Elkhorn Rivers and their tributaries was less during the high groundwater demand period, the hydraulic gradient along a transect of recorder wells was identical (0.0012 foot per foot) during the high and low groundwater demand synoptic water-level and streamflow surveys. The hydraulic gradient between the Platte and Elkhorn Rivers generally remained between 0.0011 and 0.0012 foot per foot. It can be inferred that the hydraulic gradient, which is the only temporally variable factor in Darcy’s Law, is consistent throughout the study period and that groundwater flow does not vary appreciably along this transect.
The northern part of the study area (north of the transect of recorder wells) has consistent groundwater and tributary flow from Big Slough, Rawhide Creek (Old Channel), and Rawhide Creek for low and high groundwater demand periods. In the southern part of the study area (south of the transect of recorder wells), tributary flow is more variable and dependent on local groundwater demand and flow conditions of the Platte River. Small decreases (less than 2 feet) in the groundwater levels, such as those measured during the high groundwater demand period, can have substantial changes in the streamflow in an unnamed tributary to the Elkhorn River. The streamflow measured during the high groundwater demand synoptic water-level and streamflow survey had decreased by nearly a factor of 20 when compared to the low groundwater demand period.
The volume of groundwater discharge received by the Elkhorn River was estimated by examining the changes in streamflow between measurement locations. Streamflow measurements indicate that the groundwater discharge received by the Elkhorn River in the southern part of the study area was seasonably variable, making it difficult if not impossible to estimate an annual value. In the Elkhorn River, between the Elkhorn River at Waterloo, Nebr., streamflow-gaging station and the Q Street Bridge, streamflow measurements collected during the low groundwater demand period indicated a gain of 80 cubic feet per second, which is comparable to the gain estimated using aerial thermal infrared imagery and water temperature data. Streamflow measurements collected during the high groundwater demand period indicate a loss of 80 cubic feet per second across this same reach. In assessing water supply conditions in the lower Platte River system, the term “loss” in reference to streamflow in the Elkhorn River should be used with caution. Most likely, flow from the Elkhorn River which is “lost” to the groundwater system will later discharge to surface water closer to the confluence of the Platte and Elkhorn Rivers as underflow. A calibrated groundwater flow model of the study area likely is required to predict the fate of this water and to quantify groundwater discharge during varying hydrologic conditions along this reach.
Aerial thermal infrared imagery indicated that much of the groundwater discharge in the southern part of the study area is focused across a 3-mile reach where the Elkhorn River turns southwest, perpendicular to the regional groundwater flow direction. Points of focused groundwater discharge were not detected with aerial thermal infrared imagery, indicating that groundwater discharge is diffuse rather than concentrated at focused points. Temperature-based streambed flux estimates indicated that strong regional groundwater gradients are not driving groundwater discharge and hyporheic flow is the dominant groundwater/surface-water exchange process.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195048","collaboration":"Prepared in cooperation with the Papio-Missouri River and Lower Platte North Natural Resources Districts and the Nebraska Department of Natural Resources","usgsCitation":"Hobza, C.M., Johnson, M.J., Woodward, P.W., Strauch, K.R., and Schepers, A.R., 2019, Groundwater movement and interaction with surface water near the confluence of the Platte and Elkhorn Rivers, Nebraska, 2016–18: U.S. Geological Survey Scientific Investigations Report 2019–5048, 38 p., https://doi.org/10.3133/sir20195048.","productDescription":"Report: vi, 38 p.; Data Release","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-101680","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":365092,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5048/sir20195048.pdf","text":"Report","size":"4.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5048"},{"id":365093,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EZLGSC","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Water-level and aerial thermal infrared imagery data collected along the lower Platte and Elkhorn Rivers, Nebraska, 2016–2017"},{"id":365091,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5048/coverthb.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 -97.503662109375,\n 40.613952441166596\n ],\n [\n -95.7073974609375,\n 40.613952441166596\n ],\n [\n -95.7073974609375,\n 42.09007006868398\n ],\n [\n -97.503662109375,\n 42.09007006868398\n ],\n [\n -97.503662109375,\n 40.613952441166596\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
Information concerning the availability, use, and quality of water in Jackson Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, about 4.38 million gallons per day (Mgal/d) of water were withdrawn in Jackson Parish: 4.36 Mgal/d from groundwater sources and 0.02 Mgal/d from surface-water sources. Withdrawals for public-supply use accounted for about 42 percent (1.85 Mgal/d) of the total water withdrawn, and industrial use accounted for about 54 percent (2.36 Mgal/d). Other categories of use included livestock and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicate that water withdrawals peaked in 1975 at about 15.26 Mgal/d. The significant decrease in water use from 1975 to 1980 was caused by a reduction of 10.38 Mgal/d in withdrawals for industrial use.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193020","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of Jackson Parish, Louisiana: U.S. Geological Survey Fact Sheet 2019–3020, 6 p., https://doi.org/10.3133/fs20193020.","productDescription":"Report: 6 p., Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-081707","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":365067,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3020/fs20193020.pdf","text":"Report","size":"803 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3020"},{"id":365066,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3020/coverthb.jpg"},{"id":365068,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release ","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"}],"country":"United States","state":"Louisiana","county":"Jackson Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-92.4155,32.4952],[-92.4155,32.4077],[-92.312,32.3206],[-92.3121,32.2773],[-92.3114,32.1483],[-92.812,32.1491],[-92.8207,32.149],[-92.8198,32.1604],[-92.8177,32.165],[-92.8081,32.1742],[-92.8038,32.1783],[-92.8018,32.1866],[-92.7986,32.1916],[-92.8004,32.1984],[-92.8011,32.2085],[-92.7963,32.214],[-92.7861,32.2191],[-92.7824,32.2283],[-92.7739,32.2366],[-92.7751,32.2429],[-92.7732,32.2648],[-92.7739,32.3077],[-92.7746,32.3181],[-92.7749,32.371],[-92.7752,32.3865],[-92.7768,32.4548],[-92.6231,32.4537],[-92.6228,32.4747],[-92.6231,32.497],[-92.4155,32.4952]]]},\"properties\":{\"name\":\"Jackson\",\"state\":\"LA\"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
The U.S. Geological Survey, in cooperation with the Albuquerque Bernalillo County Water Utility Authority (ABCWUA), has developed a series of maps and associated reports, beginning in 2002, that document groundwater levels in the production zone of the Santa Fe Group aquifer system beneath a large area of the City of Albuquerque, New Mexico (hereafter called the study area). Herein, we document the construction of groundwater-level change maps for representative conditions during three periods: 2002–8, 2008–12, and 2008–16.
Groundwater-elevation changes correspond to water use by the ABCWUA, with declines occurring prior to 2008 and accelerating recovery after 2008. Prior to 2008, the ABCWUA relied exclusively on groundwater from the Santa Fe Group aquifer system for municipal water supply. For the period 2002–8, near the end of the period of exclusive groundwater use, groundwater elevations in the production zone of the Santa Fe Group aquifer system declined as much as 20 to 30 feet. The largest 2002–8 groundwater-elevation declines were observed near the southeast corner of the study area and to the west of the Rio Grande. Since the ABCWUA implemented the San Juan-Chama Drinking Water Project in 2008, the proportion of municipal water supply sourced directly from surface water has increased to approximately two-thirds of the total water supply in 2016. Following initiation of this change in supply in 2008, groundwater elevations in the production zone of the Santa Fe Group aquifer system cumulatively rose as much as 20 to 30 feet by 2012 and 30 to 40 feet by 2016. The largest groundwater-elevation rises were observed near the northeast and southeast corners of the study area and to the west of the Rio Grande, whereas groundwater-elevation declines since 2008 were restricted to a localized area on the eastern margin of the study area. The area beneath the pre-flood-control-era (1971) flood plain of the Rio Grande underwent the least amount of groundwater-level change during any period, with minimal change prior to 2008 and small groundwater-elevation rises of less than 10 feet since 2008.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3435","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Ritchie, A.B., Galanter, A.E., and Curry, L.T.S., Groundwater-level change for the periods 2002–8, 2008–12, and 2008–16 in the Santa Fe Group aquifer system in the Albuquerque area, central New Mexico: U.S. Geological Survey Scientific Investigations Map 3435, 1 sheet, pamphlet, https://doi.org/10.3133/sim3435.","productDescription":"Pamphlet: vi, 16 p.; Sheet: 22 x 18 inches","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-106015","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":365038,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3435/coverthb.jpg"},{"id":365040,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3435/sim3435.pdf","text":"Sheet","size":"1.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3435 "},{"id":365039,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3435/sim3435_pamphlet.pdf","text":"Pamphlet","size":"2.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3435 Pamphlet"}],"country":"United States","state":"New Mexico","county":"Bernalillo County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-106.242,35.2147],[-106.2387,35.0549],[-106.2386,35.0408],[-106.2373,34.9568],[-106.1453,34.9547],[-106.1446,34.872],[-106.3328,34.8712],[-106.3569,34.8702],[-106.409,34.8687],[-106.4097,34.8914],[-106.417,34.8945],[-106.4221,34.9013],[-106.6755,34.9065],[-106.6838,34.9006],[-106.6917,34.901],[-106.6922,34.896],[-106.7139,34.8772],[-106.7127,34.8713],[-107.0181,34.8727],[-107.0227,34.8817],[-107.0641,34.9618],[-107.104,35.0395],[-107.1068,35.0454],[-107.1769,35.1809],[-107.1972,35.2197],[-107.1628,35.2192],[-107.1623,35.2192],[-107.1578,35.2192],[-107.1262,35.2186],[-107.1105,35.2188],[-107.0936,35.2189],[-107.0801,35.2186],[-107.0761,35.2186],[-107.0345,35.2185],[-106.9416,35.217],[-106.9337,35.2171],[-106.8808,35.2171],[-106.8622,35.2172],[-106.5955,35.2184],[-106.5645,35.2186],[-106.4964,35.2184],[-106.479,35.2176],[-106.4531,35.2172],[-106.3822,35.2175],[-106.3765,35.2175],[-106.242,35.2147]]]},\"properties\":{\"name\":\"Bernalillo\",\"state\":\"NM\"}}]}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith NE, Suite B
Albuquerque, NM 87113
Cyanobacteria-dominated blooms in Upper Klamath Lake, Oregon, create poor water quality and produce microcystins that may be detrimental to local wildlife and human health. Genetic tools, including high-throughput DNA sequencing and quantitative polymerase chain reaction (qPCR), have been shown to improve the identification and quantification of key groups associated with these blooms over more traditional techniques. We examined the seasonal and interannual variations in nutrient (nitrogen and phosphorus) concentrations between 2013 and 2014 to describe the relations between these factors and the growth dynamics of Aphanizomenon and toxigenic Microcystis as described by DNA sequencing and qPCR. Although total nutrients and chlorophyll a concentrations were similar between years, qPCR results showed the cyanobacterial populations to be 40 times larger in 2014 and indicated a large shift from an Aphanizomenon-dominant, low microcystin-level regime in 2013 to one dominated later in the season by microcystin-producing Microcystis in 2014. In both years, the transition from Aphanizomenon to Microcystis was coincident with a late-season increase in nitrite-plus-nitrate concentrations and in dissolved inorganic nitrogen to dissolved inorganic phosphorus (DIN:DIP) ratios. However, these increases did not explain the large interannual differences in total cyanobacteria abundance. Rather, we hypothesized that year-to-year differences in bioavailable phosphorus, which also manifested as lower total nitrogen to total phosphorus (TN:TP) ratios, were responsible.
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 23.7 billion barrels of shale oil and 23 trillion cubic feet of associated gas in the onshore part of the Sirte Basin Province of Libya.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20193028","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Le, P.A., Pitman, J.K., Drake, R.M., II, Brownfield, M.E., Gaswirth, S.B., and Finn, T.M., 2019, Assessment of shale-oil resources of the Sirte Basin Province, Libya, 2019: U.S. Geological Survey Fact Sheet 2019–3028, 2 p., https://doi.org/10.3133/fs20193028.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-105585","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":364962,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3028/fs20193028.pdf","text":"Report","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3028"},{"id":364961,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3028/coverthb.jpg"}],"country":"Lilbya","otherGeospatial":"Sirte Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 7.778320312499999,\n 23.079731762449878\n ],\n [\n 25.598144531249996,\n 23.079731762449878\n ],\n [\n 25.598144531249996,\n 34.415973384481866\n ],\n [\n 7.778320312499999,\n 34.415973384481866\n ],\n [\n 7.778320312499999,\n 23.079731762449878\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Oil and gas (energy) development in the Williston Basin, which partly underlies the Prairie Pothole Region in central North America, has helped meet U.S. energy demand for decades. Historical handling and disposal practices of saline wastewater co-produced during energy development resulted in salinization of surface and groundwater at numerous legacy energy sites. Thirty years of monitoring (1988–2018) at Goose Lake, which has been producing since the 1960s, documents long-term spatial and temporal changes in water quality from legacy energy development. Surface water quality was highly variable and decoupled from changes in groundwater quality, likely due to annual and regional climatic fluctuations. Therefore, changes in surface water-quality were not considered a reliable indicator of subsurface chloride migration. However, chloride concentrations in monitoring wells near wastewater sources exhibited systematic temporal reductions allowing for estimates of the time required for natural attenuation of groundwater to U.S. Environmental Protection Agency acute and chronic chloride toxicity benchmarks and a local background level. Point attenuation rates differed based on sediment type (outwash vs till) and yielded a range of predicted years when water-quality targets will be reached: acute – 2045 to 2113; chronic – 2069 to 2160; background – 2126 to 2275. Bulk attenuation rates from four separate years of data were used to calculate the distances chloride could migrate downgradient from the largest wastewater source. Potential distances of downgradient migration before dilution to water-quality targets decreased from 1989 to 2018: acute – 949 to 673 m; chronic – 1220 to 922 m; background – 1878 to 1525 m. Several downgradient wetlands are within these distances and will continue to receive saline contaminated groundwater for years. While these results demonstrate chloride attenuation at a legacy energy site, they also highlight the persistence of saline wastewater contamination and the need to mitigate future spills to prevent long-term salinization from energy development.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.06.428","usgsCitation":"Preston, T.M., Anderson, C.W., Thamke, J., Hossack, B.R., Skalak, K., and Cozzarelli, I.M., 2019, Predicting attenuation of salinized surface- and groundwater-resources from legacy energy development in the Prairie Pothole Region: Science of the Total Environment, v. 690, p. 522-533, https://doi.org/10.1016/j.scitotenv.2019.06.428.","productDescription":"12 p.","startPage":"522","endPage":"533","ipdsId":"IP-107005","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.06.428","text":"Publisher Index Page"},{"id":366565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","county":"Sheridan County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.8111,49.0001],[-104.8065,49.0001],[-104.8053,49.0001],[-104.8036,49.0001],[-104.7882,49.0001],[-104.7708,49.0001],[-104.766,49.0001],[-104.7438,49.0001],[-104.7436,49.0001],[-104.7309,49.0002],[-104.7183,49.0002],[-104.7068,49.0002],[-104.6808,49.0003],[-104.6779,49.0003],[-104.6549,49.0003],[-104.634,49.0003],[-104.6131,49.0003],[-104.4101,49.0004],[-104.0496,49.0005],[-104.0496,49],[-104.0478,48.6328],[-104.0468,48.4091],[-104.0466,48.3892],[-104.2359,48.39],[-104.5367,48.3897],[-104.5748,48.3904],[-104.6238,48.3897],[-104.6234,48.4762],[-104.7556,48.4766],[-104.7561,48.5621],[-104.8393,48.5627],[-104.9709,48.5634],[-104.9717,48.6337],[-104.9709,48.6513],[-105.0393,48.6507],[-105.0401,48.7373],[-105.0396,48.8242],[-105.039,48.9113],[-105.0575,48.9111],[-105.0554,49.0002],[-105.0516,49.0002],[-105.0483,49.0002],[-105.0469,49.0002],[-105.0462,49.0002],[-105.0424,49.0003],[-105.0367,49.0003],[-105.0297,49.0003],[-105.0269,49.0002],[-105.0081,49.0002],[-105.0077,49.0002],[-105.0068,49.0002],[-105.0059,49.0002],[-105.0005,49.0002],[-105,49.0002],[-104.9988,49.0002],[-104.9527,49.0002],[-104.9509,49.0002],[-104.95,49.0002],[-104.9244,49.0002],[-104.8969,49.0002],[-104.893,49.0002],[-104.8615,49.0002],[-104.8612,49.0002],[-104.861,49.0002],[-104.8586,49.0002],[-104.851,49.0001],[-104.8432,49.0001],[-104.8319,49.0001],[-104.8265,49.0001],[-104.8156,49.0001],[-104.8135,49.0001],[-104.8111,49.0001]]]},\"properties\":{\"name\":\"Sheridan\",\"state\":\"MT\"}}]}","volume":"690","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":768304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":768307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":768308,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":768309,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203119,"text":"70203119 - 2019 - Plague positive mouse fleas on mice prior to plague outbreaks in black-tailed and white-tailed prairie dogs","interactions":[],"lastModifiedDate":"2019-07-23T13:43:01","indexId":"70203119","displayToPublicDate":"2019-06-26T08:04:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Plague positive mouse fleas on mice prior to plague outbreaks in black-tailed and white-tailed prairie dogs","docAbstract":"Plague is a lethal zoonotic disease associated with rodents worldwide. In the western United States, plague outbreaks can decimate prairie dog (Cynomys spp.) colonies. However, it is unclear where the causative agent, Yersinia pestis, of this flea-borne disease is maintained between outbreaks, and what triggers plague-induced prairie dog die-offs. Less susceptible rodent hosts, such as mice, could serve to maintain the bacterium, transport infectious fleas across a colony, or introduce the pathogen to other colonies, possibly facilitating an outbreak. Here, we assess the potential role of two short-lived rodent species, North American deer mice (Peromyscus maniculatus) and Northern grasshopper mice (Onychomys leucogaster) in plague dynamics on prairie dog colonies. We live-trapped short-lived rodents and collected their fleas on black-tailed (Cynomys ludovicianus, Montana and South Dakota), white-tailed (Cynomys leucurus, Utah and Wyoming), and Utah prairie dog colonies (Cynomys parvidens, Utah) annually, from 2013 to 2016. Plague outbreaks occurred on colonies of all three species. In all study areas, deer mouse abundance was high the year before plague-induced prairie dog die-offs, but mouse abundance per colony was not predictive of plague die-offs in prairie dogs. We did not detect Y. pestis DNA in mouse fleas during prairie dog die-offs, but in three cases we found it beforehand. On one white-tailed prairie dog colony, we detected Y. pestis positive fleas on one grasshopper mouse and several prairie dogs live-trapped 10 days later, months before visible declines and plague-confirmed mortality of prairie dogs. On one black-tailed prairie dog colony, we detected Y. pestis positive fleas on two deer mice 3 months before evidence of plague was detected in prairie dogs or their fleas and also well before a plague-induced die-off. These observations of plague positive fleas on mice could represent early spillover events of Y. pestis from prairie dogs or an unknown reservoir, or possible movement of infectious fleas by mice.","language":"English","publisher":"Mary Ann Liebert, Inc.","doi":"10.1089/vbz.2018.2322","usgsCitation":"Bron, G.M., Malave, C., Boulerice, J.T., Osorio, J.E., and Rocke, T.E., 2019, Plague positive mouse fleas on mice prior to plague outbreaks in black-tailed and white-tailed prairie dogs: Vector-Borne and Zoonotic Diseases, v. 19, no. 7, Article: 8 p.; Data release , https://doi.org/10.1089/vbz.2018.2322.","productDescription":"Article: 8 p.; Data release ","ipdsId":"IP-102636","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":363160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363422,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P906H1NH","text":"USGS data release","description":"USGS data release"}],"volume":"19","issue":"7","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bron, Gebbiena M. 0000-0002-4431-2482","orcid":"https://orcid.org/0000-0002-4431-2482","contributorId":206593,"corporation":false,"usgs":false,"family":"Bron","given":"Gebbiena","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":761249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malave, Carly","contributorId":214934,"corporation":false,"usgs":true,"family":"Malave","given":"Carly","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boulerice, Jesse T.","contributorId":193415,"corporation":false,"usgs":false,"family":"Boulerice","given":"Jesse","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":761250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osorio, Jorge E.","contributorId":174759,"corporation":false,"usgs":false,"family":"Osorio","given":"Jorge","email":"","middleInitial":"E.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":761251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761248,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}