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":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","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":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain 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":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","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}]}} ,{"id":70206446,"text":"70206446 - 2019 - First record of the non-indigenous parasitic copepod Neoergasilus japonicus (Harada, 1950) in the Lake Ontario Watershed: Oneida Lake, New York","interactions":[],"lastModifiedDate":"2020-01-03T10:16:20","indexId":"70206446","displayToPublicDate":"2019-06-25T15:19:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"First record of the non-indigenous parasitic copepod Neoergasilus japonicus (Harada, 1950) in the Lake Ontario Watershed: Oneida Lake, New York","title":"First record of the non-indigenous parasitic copepod Neoergasilus japonicus (Harada, 1950) in the Lake Ontario Watershed: Oneida Lake, New York","docAbstract":"Four specimens of the Asiatic parasitic copepod Neoergasilus japonicus (Harada, 1930) were collected from Oneida Lake, New York in September 2018; one specimen was from a white sucker Catostomus commersonii, another from a green sunfish Lepomis cyanellus, and two from a bluegill Lepomis macrochirus. The four adult female specimens were found attached to the base of the gills of their respective hosts along with other ergasilid species. The average total length of the adult female N. japonicus specimens we found was 0.609 mm. These detections represent the first known occurrence of this non-native species in the state of New York, extends the easternmost distribution of this parasite over 400 miles, and now includes the Lake Ontario watershed for the first time. It is commonly believed that the international aquaculture industry and aquarium fish trade are the most likely vectors of dispersal for N. japonicus. Monitoring the spread of non-indigenous aquatic species is an important step towards the development of management plans and mitigation efforts with regards to the anthropogenic causes of dispersal, and fish parasites are no exception.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.09.017","usgsCitation":"Marshall, C.C., Hudson, P., Jackson, J.R., Connolly, J.K., Watkins, J.M., and Rudstam, L.G., 2019, First record of the non-indigenous parasitic copepod Neoergasilus japonicus (Harada, 1950) in the Lake Ontario Watershed: Oneida Lake, New York: Journal of Great Lakes Research, v. 45, no. 6, p. 1348-1353, https://doi.org/10.1016/j.jglr.2019.09.017.","productDescription":"6 p.","startPage":"1348","endPage":"1353","ipdsId":"IP-108537","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":368936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Oneida Lake, Lake Ontario watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.14212036132812,\n 43.12203614830064\n ],\n [\n -75.66970825195312,\n 43.12203614830064\n ],\n [\n -75.66970825195312,\n 43.26620632572599\n ],\n [\n -76.14212036132812,\n 43.26620632572599\n ],\n [\n -76.14212036132812,\n 43.12203614830064\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marshall, Chris C.","contributorId":220245,"corporation":false,"usgs":false,"family":"Marshall","given":"Chris","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Patrick 0000-0002-7646-443X","orcid":"https://orcid.org/0000-0002-7646-443X","contributorId":220244,"corporation":false,"usgs":true,"family":"Hudson","given":"Patrick","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, J. Randy","contributorId":220248,"corporation":false,"usgs":false,"family":"Jackson","given":"J.","email":"","middleInitial":"Randy","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Connolly, Joe K.","contributorId":220247,"corporation":false,"usgs":false,"family":"Connolly","given":"Joe","email":"","middleInitial":"K.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watkins, Jim M","contributorId":220246,"corporation":false,"usgs":false,"family":"Watkins","given":"Jim","email":"","middleInitial":"M","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rudstam, Lars G. 0000-0002-3732-6368","orcid":"https://orcid.org/0000-0002-3732-6368","contributorId":213508,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774581,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202388,"text":"ofr20191019 - 2019 - The major coral reefs of Maui Nui, Hawai‘i—distribution, physical characteristics, oceanographic controls, and environmental threats","interactions":[],"lastModifiedDate":"2019-06-26T09:35:14","indexId":"ofr20191019","displayToPublicDate":"2019-06-25T15:06:10","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1019","displayTitle":"The Major Coral Reefs of Maui Nui, Hawai‘i—Distribution, Physical Characteristics, Oceanographic Controls, and Environmental Threats","title":"The major coral reefs of Maui Nui, Hawai‘i—distribution, physical characteristics, oceanographic controls, and environmental threats","docAbstract":"Coral reefs are widely recognized as critical to Hawaiʻi’s economy, food resources, and protection from damaging storm waves. Yet overfishing, land-based pollution, and climate change are threatening the health and sustainability of those reefs, and accordingly, both the Federal and State governments have called for protection and effective management. In 2000, the U.S. Coral Reef Task Force stated that 20 percent of coral reefs should be protected by 2010. In 2016, the Governor of Hawaiʻi committed to effective management of 30 percent of Hawaiian coastal habitats by 2030 to protect coral reefs. At present, the amount of coral protected in the main Hawaiian Islands is less than 1 percent.
Most of the large, highly diverse coral reef tracts in the main Hawaiian Islands surround the four islands of Maui, Molokaʻi, Lānaʻi, and Kahoʻolawe, collectively known as Maui Nui. This report provides fundamental information on the location, extent, coral cover, threats, and connectivity of these major coral reef tracts in Maui Nui essential for identifying areas for management and protection.
By combining high-resolution bathymetric data with available maps, publications, and satellite and underwater images, nine major coral reef tracts are identified in the coastal waters of Maui Nui. Three very large reef tracts lie along the south side of Molokaʻi, two on the east side of Lānaʻi, and four off Maui. The factors that make these Maui Nui coral reef tracts a major and important resource for Hawaiʻi include their vast size and high coral cover (nearly 16,000 acres of reef, most of which has more than 50 percent live coral cover); diversity of shape, size, and location; and separation between reefs while retaining connectivity via currents. The decline in the health of these coral reefs over the past several decades has been slow but persistent. Punctuation of the decline by large-scale disturbance events, such as the thermal bleaching that occurred in 2015, is accelerating the loss of viable reef areas by an order of magnitude.
The economic, cultural, and recreational value of these coral reef tracts highlights the importance of their long-term survival to the local communities and all of Hawaiʻi. There is scientific consensus that increasing pressures from climate change, overfishing, and land-based pollution will virtually assure the continued, and perhaps accelerating, decline of Hawaiʻi’s coral reefs unless action is taken. Information presented in this report, coupled with the results of numerous scientific studies, provides scientific underpinning to help establish a network of large-scale, connected Marine Protected Areas to meet the Federal and State governments’ call for effective management and protection of coral reefs in Maui Nui.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191019","usgsCitation":"Field, M.E., Storlazzi, C.D., Gibbs, A.E., D’Antonio, N.L., and Cochran, S.A, 2019, The major coral reefs of Maui Nui, Hawai‘i—Distribution, physical characteristics, oceanographic controls, and environmental threats: U.S. Geological Survey Open-File Report 2019–1019, 71 p., https://doi.org/10.3133/ofr20191019.","productDescription":"Report: vi, 71 p.","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-096402","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":365042,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1019/ofr20191019.pdf","text":"Report","size":"31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1019"},{"id":365041,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1019/coverthb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui Nui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.5439453125,\n 20.33432561683554\n ],\n [\n -155.6982421875,\n 20.33432561683554\n ],\n [\n -155.6982421875,\n 21.49396356306447\n ],\n [\n -157.5439453125,\n 21.49396356306447\n ],\n [\n -157.5439453125,\n 20.33432561683554\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information,
Pacific Coastal and Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060
La Honda, California, is a small town in unincorporated San Mateo County, located on the west edge of the San Francisco Peninsula in the Santa Cruz Mountains, between San Francisco and San Jose. The Scenic Drive area of La Honda has experienced several past episodes of landslide motion, which were documented in 1998, 2005, and 2006. This report documents the movement of the upper Scenic Drive landslide that occurred between January 10 and June 28, 2017. Our mapping provides a snapshot of the 2017 upper Scenic Drive landslide, as imaged from high-resolution terrestrial laser scanner (TLS) survey data (also referred to as terrestrial lidar) that we collected January 27–28, 2017; we mapped the landforms associated with the 2017 upper Scenic Drive landslide motion using a bare-earth TLS shaded-relief base map, in addition to field observations. Our mapping is supplemented by photographs of the mapped landforms, which were taken between January 11 and 31, 2017; these photographs illustrate the development of selected landslide features. The purpose of this report is to make available the maps constructed from three-dimensional TLS data and the photographs that show the landslide morphology of the 2017 upper Scenic Drive landslide. The scope of this report is limited to the motion of the upper Scenic Drive landslide that occurred between January 10 and June 28, 2017.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191024","usgsCitation":"Pickering, A.J., Prentice, C.S., and DeLong, S.B., 2019, Landscape change associated with the upper Scenic Drive landslide, La Honda, California, January 10–June 28, 2017: U.S. Geological Survey Open-File Report 2019–1024, 17 p., 1 sheet, scale 1:400, https://doi.org/10.3133/ofr20191024.","productDescription":"Pamphlet: iv, 17 p.; one 32\" x 20\" Sheet; Metadata; Database","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-096298","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":364982,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1024/coverthb.jpg"},{"id":364983,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2019/1024/ofr20191024_mapsheet.pdf","text":"Mapsheet","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1024 Sheet"},{"id":364984,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1024/ofr20191024_pamphlet.pdf","text":"Pamphlet","size":"15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1024 Pamphlet"},{"id":364985,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2019/1024/ofr20191024_metadata.txt","text":"Metadata","size":"20 KB","linkFileType":{"id":2,"text":"txt"},"description":"Open-File Report 2019-1024 Metadata"},{"id":364986,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2019/1024/ofr20191024_gdb.zip","size":"80 KB","linkFileType":{"id":6,"text":"zip"},"description":"Open-File Report 2019-1024 Database"}],"country":"United States","state":"California","city":"La Honda","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.27036476135254,\n 37.31737642114842\n ],\n [\n -122.26358413696288,\n 37.31737642114842\n ],\n [\n -122.26358413696288,\n 37.32302474535866\n ],\n [\n -122.27036476135254,\n 37.32302474535866\n ],\n [\n -122.27036476135254,\n 37.31737642114842\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, California 94025
The Big Chino Subbasin is a groundwater basin that includes the Verde River headwaters in Yavapai County in north-central Arizona. Groundwater in the southern part of the subbasin is found primarily in the Big Chino and Williamson Valleys. The former is a potential municipal water source for growing communities in Yavapai County, particularly groundwater from the Big Chino Water Ranch, about 15 miles northwest of the community of Paulden. Groundwater in the Big Chino Valley discharges to wells (by pumping), by evapotranspiration, and to the upper Verde River springs, which form the headwaters of the Verde River. Groundwater also discharges to short perennial reaches of Williamson Valley Wash, Walnut Creek, and a small number of small, ungaged springs and seeps. To monitor changes in groundwater storage and to identify aquifer-storage properties, a network of repeat microgravity stations and groundwater-level monitoring stations was established in the Big Chino and Williamson Valleys in 2010.
Small decreases in groundwater storage were observed throughout the study area from 2010 to 2017. Annual groundwater withdrawals for agricultural use varied between 2,800 and 4,000 acre-ft between 2013 and 2016, with an additional amount, probably less than 1,000 acre-ft, withdrawn for domestic use, primarily in the Paulden and Williamson Valley Wash areas. No local recharge events from sustained rainfall were observed during 2010 to 2017, and base-flow discharge in the Verde River near Paulden and Williamson Valley Wash near Paulden was consistently below the long-term average (for years 1964 to 2017 and 1966 to 2017, respectively) at each site. Relations between groundwater-level changes and aquifer-storage changes (determined from repeat microgravity data) indicate monitoring wells are representative primarily of semiconfined aquifer conditions in the Paulden area, the area west of Big Chino Wash, and the Big Chino Water Ranch area. Unconfined aquifer conditions are monitored in the Williamson Valley Wash area and at two sites in the Paulden area. Specific yield was estimated at five wells and ranged between 0.04 and 0.34, with a median value of 0.23.
Negative groundwater-level trends (increasing depth to water) were observed between 2010 and 2017 at all sites where trends were identified using the Mann-Kendall trend test, except for the northernmost reaches of Big Chino Wash within and to the north of the Big Chino Water Ranch. Groundwater storage trends were negative at all sites where trends were identified except for one site in the foothills of the Santa Maria mountains west of Big Chino Wash. Declining storage in the Big Chino Water Ranch area, where water levels show no trend or are increasing, are likely the result of drying conditions in the unsaturated zone and (or) aquifers located above the aquifer(s) monitored by wells.
Director,
Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
Environmental DNA (eDNA) detection probability increases with volume of water sampled. Common approaches for collecting eDNA samples often require many samples since these approaches usually use fine filters, which restrict the volume of water that can be sampled. An alternative to collecting many, small volume water samples using fine filters may be to collect fewer, large volume water samples using coarse filters that do not clog as rapidly. We used mesocosm experiments and field evaluations to compare coarse filter‐large water volume samples (hereafter large volume filter samples) versus fine filter‐small water volume samples (hereafter small volume filter samples) for detection and quantification of rainbow trout (Oncorhynchus mykiss) and bull trout (Salvelinus confluentus) DNA. We found that large volume filter sampling can be an effective approach for detecting DNA of low‐density target taxa. In mesocosm experiments, large‐volume and small‐volume water samples detected similar quantities of rainbow trout DNA. In the field, large volume samples more frequently detected bull trout DNA, had higher bull trout DNA copy number, and higher total DNA concentrations than small volume samples. However, sampling higher water volumes increased the potential for PCR inhibition so the DNA workflow had to be altered for large volume samples. Combining larger water volume samples with other strategies, like increasing PCR sensitivity and the number of PCR replicates, will improve detection of rare species, which is crucial for advancing conservation and ecological understanding.
","language":"English","publisher":"Wiley","doi":"10.1002/edn3.23","usgsCitation":"Sepulveda, A.J., Schabacker, J., Smith, S., Al-Chokhachy, R., Luikart, G., and Amish, S.J., 2019, Improved detection of rare, endangered and invasive trout using a new large-volume sampling method for eDNA capture: Environmental DNA, v. 1, no. 3, p. 227-237, https://doi.org/10.1002/edn3.23.","productDescription":"11 p.","startPage":"227","endPage":"237","ipdsId":"IP-104377","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":460351,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.23","text":"Publisher Index Page"},{"id":365282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Flathead River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.77392578125,\n 47.4057852900587\n ],\n [\n -113.477783203125,\n 47.4057852900587\n ],\n [\n -113.477783203125,\n 48.98742700601184\n ],\n [\n -115.77392578125,\n 48.98742700601184\n ],\n [\n -115.77392578125,\n 47.4057852900587\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":765401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schabacker, Jenna","contributorId":216702,"corporation":false,"usgs":false,"family":"Schabacker","given":"Jenna","email":"","affiliations":[],"preferred":false,"id":765403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Seth","contributorId":189234,"corporation":false,"usgs":false,"family":"Smith","given":"Seth","email":"","affiliations":[],"preferred":false,"id":765404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":216703,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":765405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luikart, Gordon","contributorId":97409,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":765406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amish, Stephen J.","contributorId":104799,"corporation":false,"usgs":false,"family":"Amish","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":765402,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203696,"text":"ofr20191061 - 2019 - Supply chain infrastructure restoration calculator software tool—Developer guide and user manual","interactions":[],"lastModifiedDate":"2019-06-26T09:37:38","indexId":"ofr20191061","displayToPublicDate":"2019-06-24T11:58:01","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1061","displayTitle":"Supply Chain Infrastructure Restoration Calculator Software Tool—Developer Guide and User Manual","title":"Supply chain infrastructure restoration calculator software tool—Developer guide and user manual","docAbstract":"This report describes a software tool that calculates costs associated with the reconstruction of supply chain interdependent critical infrastructure in the advent of a catastrophic failure by either outside forces (extreme events) or internal forces (fatigue). This tool fills a gap between search and recover strategies of the Federal Emergency Management Agency (or FEMA) and construction techniques under full recovery. In addition to overall construction costs, the tool calculates reconstruction needs in terms of personnel and their required support. From these estimates, total costs (or the cost of each element to be restored) can be calculated. Estimates are based upon historic reconstruction data, although decision managers do have the choice of entering their own input data to tailor the results to a local area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191061","usgsCitation":"Ojha, A., Kanwar, B., Long, S.K., Shoberg, T.G., and Corns, S., 2019, Supply chain infrastructure restoration calculator software tool—Developer guide and user manual: U.S. Geological Survey Open-File Report 2019–1061, 17 p., https://doi.org/10.3133/ofr20191061.","productDescription":"iv, 17 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-101221","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":364946,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1061/coverthb.jpg"},{"id":364947,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1061/ofr20191061.pdf","text":"Report","size":"2.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1061"}],"contact":"Director, National Geospatial Technical Operations Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401