Lead and zinc were mined in the Tri-State Mining District (TSMD) of southwest Missouri, northeast Oklahoma, and southeast Kansas for more than 100 years. The effects of mining on the landscape are still evident, nearly 50 years after the last mine ceased operation. The legacies of mining are the mine waste and discharge of groundwater from underground mines. The mine-waste piles and underground mines are continuous sources of trace metals (primarily lead, zinc, and cadmium) to the streams that drain the TSMD. Many previous studies characterized the horizontal extent of mine-waste contamination in streams but little information exists on the depth of mine-waste contamination in these streams. Characterizing the vertical extent of contamination is difficult because of the large amount of coarse-grained material, ranging from coarse gravel to boulders, within channel sediment. The U.S. Geological Survey, in cooperation with U.S. Fish and Wildlife service, collected channel-sediment samples at depth for subsequent analyses that would allow attainment of the following goals: (1) determination of the relation between concentration and depth for lead, zinc and cadmium in channel sediments and flood-plain sediments, and (2) determination of the volume of gravel-bar sediment from the surface to the maximum depth with concentrations of these metals that exceeded sediment-quality guidelines. For the purpose of this report, volume of gravel-bar sediment is considered to be distributed in two forms, gravel bars and the wetted channel, and this study focused on gravel bars. Concentrations of lead, zinc, and cadmium in samples were compared to the consensus probable effects concentration (CPEC) and Tri-State Mining District specific probable effects concentration (TPEC) sediment-quality guidelines.
During the study, more than 700 sediment samples were collected from borings at multiple sites, including gravel bars and flood plains, along Center Creek, Turkey Creek, Shoal Creek, Tar Creek, and Spring River in order to characterize the vertical extent of mine waste in select streams in the TSMD. The largest concentrations of lead, zinc, and cadmium in gravel bar-sediment samples generally were detected in Turkey Creek and Tar Creek and the smallest concentrations were detected in Shoal Creek followed by the Spring River. Gravel bar-sediment samples from Turkey Creek exceeded the CPEC for cadmium (minimum of 70 percent of samples), lead (94 percent), and zinc (99 percent) at a slightly higher frequency than similar samples from Tar Creek (69 percent, 88 percent, and 96 percent, respectively). Gravel bar-sediment samples from Turkey Creek also contained the largest concentrations of cadmium (174 milligrams per kilogram [mg/kg]) and lead (7,520 mg/kg) detected; however, the largest zinc concentration (46,600 mg/kg) was detected in a gravel bar-sediment sample from Tar Creek. In contrast, none of the 65 gravel bar-sediment samples from Shoal Creek contained cadmium above the x-ray fluorescence reporting level of 12 mg/kg, and lead and zinc exceeded the CPEC in only 12 percent and 74 percent of samples, respectively. In most cases, concentrations of lead and zinc above the CPEC or TPEC were present at the maximum depth of boring, which indicated that nearly the entire thickness of sediment in the stream has been contaminated by mine wastes. Approximately 284,000 cubic yards of channel sediment from land surface to the maximum depth that exceeded the CPEC and approximately 236,000 cubic yards of channel sediment from land surface to the maximum depth that exceeded the TPEC were estimated along 37.6 of the 55.1 miles of Center Creek, Turkey Creek, Shoal Creek, and Tar Creek examined in this study. Mine-waste contamination reported along additional reaches of these streams is beyond the scope of this study. Flood-plain cores collected in the TSMD generally only had exceedances of the CPEC and TPEC for lead and zinc in the top 1 or 2 feet of soil with a few exceptions, such as cores in low areas near the stream or cores in areas disturbed by past mining.
Director, Missouri Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
In May 2013, the U.S. Geological Survey’s Grand Canyon Monitoring and Research Center acquired airborne multispectral high-resolution data for the Colorado River in the Grand Canyon, Arizona. The image data, which consist of four color bands (blue, green, red, and near-infrared) with a ground resolution of 20 centimeters, are available to the public as 16-bit geotiff files at http://dx.doi.org/10.5066/F7TX3CHS. The images are projected in the State Plane map projection, using the central Arizona zone (202) and the North American Datum of 1983. The assessed accuracy for these data is based on 91 ground-control points and is reported at the 95-percent confidence level as 0.64 meter (m) and a root mean square error of 0.36 m. The primary intended uses of this dataset are for maps to support field data collection and simple river navigation; high-spatial-resolution change detection of sandbars, other geomorphic landforms, riparian vegetation, and backwater and nearshore habitats; and other ecosystem-wide mapping.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1027","usgsCitation":"Durning, L.E., Sankey, J.B., Davis, P.A., and Sankey, T.T., 2016, Four-band image mosaic of the Colorado River corridor downstream of Glen Canyon Dam in Arizona, derived from the May 2013 airborne image acquisition: U.S. Geological Survey Data Series 1027, https://doi.org/10.3133/ds1027.","productDescription":"HTML Document; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076889","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438486,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TX3CHS","text":"USGS data release","linkHelpText":"Four Band Multispectral High Resolution Image Mosaic of the Colorado River Corridor, Arizona - 2013"},{"id":332009,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1027/coverthb.jpg"},{"id":332008,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7TX3CHS","text":"USGS Data Release","description":"DS 1027 Data Release","linkHelpText":"Four Band Multispectral High Resolution Image Mosaic of the Colorado River Corridor, Arizona"},{"id":332007,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1027/index.html","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1027 HTML"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.04907226562499,\n 35.48751102385376\n ],\n [\n -114.04907226562499,\n 37.00255267215955\n ],\n [\n -111.302490234375,\n 37.00255267215955\n ],\n [\n -111.302490234375,\n 35.48751102385376\n ],\n [\n -114.04907226562499,\n 35.48751102385376\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"GCMRC Staff, Southwest Biological Science Center
U.S. Geological Survey
Grand Canyon Monitoring and Research Center
2255 N. Gemini Drive
Flagstaff, AZ 86001
http://www.gcmrc.gov/
An effort to build a unified collection of geospatial data for use in land-change modeling (LCM) led to new insights into the requirements and challenges of building an LCM data infrastructure. A case study of data compilation and unification for the Richmond, Va., Metropolitan Statistical Area (MSA) delineated the problems of combining and unifying heterogeneous data from many independent localities such as counties and cities. The study also produced conclusions and recommendations for use by the national LCM community, emphasizing the critical need for simple, practical data standards and conventions for use by localities. This report contributes an uncopyrighted core glossary and a much needed operational definition of data unification.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161176","usgsCitation":"Donato, D.I., and Shapiro, J.L., 2016, Building unified geospatial data for land-change modeling—A case study in the area of Richmond, Virginia: U.S. Geological Survey Open-File Report 2016‒1176, 84 p., https://doi.org/10.3133/ofr20161176.","productDescription":"v, 84 p.","numberOfPages":"92","onlineOnly":"Y","ipdsId":"IP-069929","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":331929,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1176/ofr20161176.pdf","text":"Report","size":"2.48 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1176"},{"id":329532,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1176/coverthb.jpg"}],"country":"United States","state":"Virginia","city":"Richmond","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-78.2386,37.2951],[-78.2383,37.3821],[-78.1827,37.4446],[-78.1322,37.4558],[-78.0755,37.6551],[-78.1169,37.6791],[-78.0974,37.6952],[-78.0994,37.712],[-78.1628,37.7449],[-78.1542,37.7711],[-78.0631,37.9056],[-78.1702,37.9508],[-78.1964,37.9538],[-78.2211,37.9763],[-78.3058,38.007],[-78.2079,38.1307],[-78.1444,38.1445],[-78.1187,38.1415],[-78.094,38.1521],[-78.0562,38.1381],[-78.0018,38.1365],[-77.9845,38.1227],[-77.96,38.1192],[-77.7269,38.325],[-77.7043,38.3619],[-77.6791,38.3601],[-77.6493,38.3778],[-77.638,38.3591],[-77.6184,38.3688],[-77.6127,38.3637],[-77.604,38.3336],[-77.5714,38.3485],[-77.54,38.3136],[-77.5152,38.3053],[-77.5178,38.2952],[-77.5073,38.2923],[-77.5121,38.2803],[-77.4732,38.2703],[-77.4656,38.2794],[-77.4574,38.2711],[-77.4481,38.2867],[-77.4196,38.2577],[-77.3596,38.2426],[-77.3453,38.2523],[-77.3332,38.2457],[-77.3295,38.2529],[-77.3456,38.2618],[-77.3408,38.2871],[-77.3509,38.3027],[-77.3268,38.3213],[-77.3282,38.3359],[-77.3176,38.3415],[-77.2858,38.3428],[-77.2426,38.3308],[-77.1788,38.3414],[-77.1411,38.3647],[-77.0907,38.3654],[-77.0431,38.4],[-77.0162,38.3785],[-77.0153,38.335],[-77.0314,38.3189],[-77.0495,38.3223],[-77.0583,38.3369],[-77.0558,38.3256],[-77.0687,38.3095],[-77.0569,38.2922],[-77.0717,38.2867],[-77.0524,38.2938],[-77.0658,38.3069],[-77.0601,38.3157],[-77.0334,38.3102],[-77.005,38.2836],[-77.0338,38.2591],[-77.0525,38.26],[-77.054,38.1793],[-77.0741,38.1561],[-77.0883,38.1714],[-77.1139,38.1569],[-77.1209,38.1752],[-77.169,38.1725],[-77.2031,38.1872],[-77.1725,38.1558],[-77.1493,38.168],[-77.1343,38.1591],[-77.1263,38.1367],[-77.1054,38.13],[-77.1203,38.1212],[-77.1425,38.1226],[-77.1456,38.1004],[-77.1691,38.0777],[-77.1277,38.0379],[-77.1325,38.0163],[-77.0882,38.0122],[-77.0792,38.0003],[-77.066,37.9596],[-77.0728,37.948],[-77.039,37.9278],[-77.0263,37.9058],[-77.032,37.8928],[-77.0265,37.8849],[-77.0449,37.8731],[-77.0248,37.8641],[-77.0168,37.843],[-76.9485,37.8289],[-76.9459,37.7845],[-76.914,37.7974],[-76.8796,37.783],[-76.8429,37.7995],[-76.7965,37.7935],[-76.7936,37.7757],[-76.7596,37.7514],[-76.7469,37.7012],[-76.7182,37.6598],[-76.6853,37.6209],[-76.6541,37.6007],[-76.6707,37.5326],[-76.6458,37.4858],[-76.6672,37.4559],[-76.6751,37.462],[-76.7108,37.4442],[-76.74,37.4889],[-76.7769,37.5111],[-76.7883,37.5392],[-76.7928,37.5267],[-76.8036,37.5239],[-76.8056,37.5008],[-76.762,37.4807],[-76.7439,37.4392],[-76.6983,37.4056],[-76.6733,37.3744],[-76.7101,37.3653],[-76.7417,37.3705],[-76.7551,37.3545],[-76.7539,37.3391],[-76.7356,37.3323],[-76.7294,37.3122],[-76.7408,37.3016],[-76.7266,37.2799],[-76.7376,37.2802],[-76.7367,37.2575],[-76.719,37.2489],[-76.6734,37.2469],[-76.6658,37.249],[-76.681,37.2603],[-76.671,37.2664],[-76.6545,37.2415],[-76.6254,37.2336],[-76.6015,37.2384],[-76.5785,37.1903],[-76.6117,37.1697],[-76.6279,37.2039],[-76.6536,37.2215],[-76.7583,37.215],[-76.7347,37.2028],[-76.7505,37.1899],[-76.7793,37.2079],[-76.7967,37.2334],[-76.8192,37.2425],[-76.8664,37.2425],[-76.8786,37.2542],[-76.9183,37.2372],[-76.9417,37.2381],[-76.9837,37.2758],[-76.99,37.3],[-77.0108,37.31],[-77.0733,37.2725],[-77.0786,37.3258],[-77.1303,37.3094],[-77.1389,37.3164],[-77.1431,37.31],[-77.1844,37.3136],[-77.2028,37.3272],[-77.2651,37.3242],[-77.2714,37.3142],[-77.2522,37.2939],[-77.2261,37.3014],[-77.2231,37.3119],[-77.1917,37.2853],[-77.1653,37.2983],[-77.1211,37.2961],[-77.0936,37.3081],[-77.0833,37.2717],[-77.0606,37.2611],[-77.0119,37.3033],[-77.0011,37.3003],[-76.9853,37.2447],[-77.0142,37.2297],[-77.0235,37.2075],[-77.0177,37.2061],[-77.0125,37.2275],[-76.9772,37.2397],[-76.9019,37.1999],[-76.8669,37.2086],[-76.8015,37.2056],[-76.8103,37.1783],[-76.7897,37.187],[-76.7323,37.1459],[-76.7142,37.1494],[-76.6856,37.197],[-76.664,37.1741],[-76.6808,37.1683],[-76.6686,37.1664],[-76.6805,37.1215],[-76.6758,37.1087],[-76.7014,37.0567],[-76.8494,36.9978],[-77.4321,36.7076],[-77.492,36.7214],[-77.4601,36.8623],[-77.5031,36.8454],[-77.538,36.8536],[-77.564,36.8468],[-77.632,36.8873],[-77.6385,36.8829],[-77.6335,36.876],[-77.6455,36.8771],[-77.6463,36.8939],[-77.7137,36.9126],[-77.7185,36.9299],[-77.7593,36.9582],[-77.7704,36.9756],[-77.8397,36.9956],[-77.9125,36.9852],[-77.9701,36.9887],[-78.0022,37.0263],[-78.0722,37.0126],[-78.1483,37.0429],[-78.18,37.0755],[-78.2024,37.0794],[-78.241,37.1197],[-78.2386,37.2951]],[[-77.5955,37.556],[-77.6015,37.5448],[-77.5949,37.5329],[-77.5564,37.5414],[-77.5468,37.5308],[-77.5283,37.5282],[-77.5123,37.4731],[-77.4947,37.461],[-77.4598,37.4641],[-77.4225,37.4489],[-77.4166,37.5141],[-77.396,37.506],[-77.3859,37.5349],[-77.4079,37.5579],[-77.4142,37.5798],[-77.4367,37.5838],[-77.4381,37.5988],[-77.4484,37.6026],[-77.477,37.599],[-77.4794,37.575],[-77.5318,37.5917],[-77.5474,37.5725],[-77.5272,37.5681],[-77.5303,37.5595],[-77.5955,37.556]]]]},\"properties\":{\"name\":\"Amelia\",\"state\":\"VA\"}}]}","contact":"Director, Eastern Geographic Science Center
U.S. Geological Survey
521 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
Telephone: 703–648–4230
http://egsc.usgs.gov/
The High Plains aquifer is a nationally important water resource underlying about 175,000 square miles in parts of eight states: Colorado, Kansas, Oklahoma, Nebraska, New Mexico, South Dakota, Texas, and Wyoming. Droughts across much of the Northern High Plains from 2001 to 2007 have combined with recent (2004) legislative mandates to elevate concerns regarding future availability of groundwater and the need for additional information to support science-based water-resource management. To address these needs, the U.S. Geological Survey began the High Plains Groundwater Availability Study to provide a tool for water-resource managers and other stakeholders to assess the status and availability of groundwater resources.
A transient groundwater-flow model was constructed using the U.S. Geological Survey modular three-dimensional finite-difference groundwater-flow model with Newton-Rhapson solver (MODFLOW–NWT). The model uses an orthogonal grid of 565 rows and 795 columns, and each grid cell measures 3,281 feet per side, with one variably thick vertical layer, simulated as unconfined. Groundwater flow was simulated for two distinct periods: (1) the period before substantial groundwater withdrawals, or before about 1940, and (2) the period of increasing groundwater withdrawals from May 1940 through April 2009. A soil-water-balance model was used to estimate recharge from precipitation and groundwater withdrawals for irrigation. The soil-water-balance model uses spatially distributed soil and landscape properties with daily weather data and estimated historical land-cover maps to calculate spatial and temporal variations in potential recharge. Mean annual recharge estimated for 1940–49, early in the history of groundwater development, and 2000–2009, late in the history of groundwater development, was 3.3 and 3.5 inches per year, respectively.
Primary model calibration was completed using statistical techniques through parameter estimation using the parameter estimation suite of software with Tikhonov regularization. Calibration targets for the groundwater model included 343,067 groundwater levels measured in wells and 10,820 estimated monthly stream base flows at streamgages. A total of 1,312 parameters were adjusted during calibration to improve the match between calibration targets and simulated equivalents. Comparison of calibration targets to simulated equivalents indicated that, at the regional scale, the model correctly reproduced groundwater levels and stream base flows for 1940–2009. This comparison indicates that the model can be used to examine the likely response of the aquifer system to potential future stresses.
Mean calibrated recharge for 1940–49 and 2000–2009 was smaller than that estimated with the soil-water-balance model. This indicated that although the general spatial patterns of recharge estimated with the soil-water-balance model were approximately correct at the regional scale of the Northern High Plains aquifer, the soil-water-balance model had overestimated recharge, and adjustments were needed to decrease recharge to improve the match of the groundwater model to calibration targets. The largest components of the simulated groundwater budgets were recharge from precipitation, recharge from canal seepage, outflows to evapotranspiration, and outflows to stream base flow. Simulated outflows to irrigation wells increased from 7 percent of total outflows in 1940–49 to 38 percent of 1970–79 total outflows and 49 percent of 2000–2009 total outflows.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165153","usgsCitation":"Peterson, S.M., Flynn, A.T., and Traylor, J.P., 2016, Groundwater-flow model of the Northern High Plains aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming: U.S. Geological Survey Scientific Investigations Report 2016–5153, 88 p., https://doi.org/10.3133/sir20165153.","productDescription":"Report: x, 88 p.; 2 Figures: 11.00 x 8.50 inches; 2 Data Releases","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070028","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":331684,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5153/sir20165153_fig15.pdf","text":"Figure 15","size":"9.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5153 Figure 15"},{"id":331685,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K072C9","text":"USGS data release - Base of aquifer contours for the Northern High Plains aquifer","description":"USGS Data Release"},{"id":331683,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5153/sir20165153_fig14.pdf","text":"Figure 14","size":"988 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5153 Figure 14"},{"id":331686,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JS9NKD","text":"USGS data release - MODFLOW-NWT groundwater flow model used to evaluate conditions in the Northern High Plains Aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming","description":"USGS Data Release"},{"id":331678,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5153/sir20165153.pdf","text":"Report","size":"36.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5153"},{"id":331677,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5153/coverthb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska, South Dakota, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106,\n 38\n ],\n [\n -106,\n 44\n ],\n [\n -96,\n 44\n ],\n [\n -96,\n 38\n ],\n [\n -106,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"Water Availability and Use Science Program","contact":"Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
Environmental DNA (eDNA) analysis is rapidly evolving as a tool for monitoring the distributions of aquatic species. Detection of species’ populations in streams may be challenging because the persistence time for intact DNA fragments is unknown and because eDNA is diluted and dispersed by dynamic hydrological processes. During 2015, the DNA of Brook Trout Salvelinus fontinalis was analyzed from water samples collected at 40 streams across the Adirondack region of upstate New York, where Brook Trout populations were recently quantified. Study objectives were to evaluate different sampling methods and the ability of eDNA to accurately predict the presence and abundance of resident Brook Trout populations. Results from three-pass electrofishing surveys indicated that Brook Trout were absent from 10 sites and were present in low (<100 fish/0.1 ha), moderate (100–300 fish/0.1 ha), and high (>300 fish/0.1 ha) densities at 9, 11, and 10 sites, respectively. The eDNA results correctly predicted the presence and confirmed the absence of Brook Trout at 85.0–92.5% of the study sites; eDNA also explained 44% of the variability in Brook Trout population density and 24% of the variability in biomass. These findings indicate that eDNA surveys will enable researchers to effectively characterize the presence and abundance of Brook Trout and other species’ populations in headwater streams across the Adirondack region and elsewhere.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1243578","usgsCitation":"Baldigo, B.P., Sporn, L., George, S.D., and Ball, J., 2016, Efficacy of environmental DNA to detect and quantify Brook Trout populations in headwater streams of the Adirondack Mountains, New York: Transactions of the American Fisheries Society, v. 146, no. 1, p. 99-111, https://doi.org/10.1080/00028487.2016.1243578.","productDescription":"13 p.","startPage":"99","endPage":"111","ipdsId":"IP-071778","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":470327,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2016.1243578","text":"Publisher Index Page"},{"id":438489,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78913ZC","text":"USGS data release","linkHelpText":"Community composition data for assessing fish populations in headwater streams of the Adirondack Mountains, New York, USA"},{"id":332019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.4376220703125,\n 43.40305202432616\n ],\n [\n -75.4376220703125,\n 44.3002644115815\n ],\n [\n -73.751220703125,\n 44.3002644115815\n ],\n [\n -73.751220703125,\n 43.40305202432616\n ],\n [\n -75.4376220703125,\n 43.40305202432616\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-06","publicationStatus":"PW","scienceBaseUri":"585116bae4b08138bf1abd4a","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sporn, Lee Ann","contributorId":177388,"corporation":false,"usgs":false,"family":"Sporn","given":"Lee Ann","affiliations":[],"preferred":false,"id":655604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, Jacob","contributorId":177389,"corporation":false,"usgs":false,"family":"Ball","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":655606,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179019,"text":"70179019 - 2016 - The estimated six-year mercury dry deposition across North America","interactions":[],"lastModifiedDate":"2017-05-11T15:18:47","indexId":"70179019","displayToPublicDate":"2016-12-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"The estimated six-year mercury dry deposition across North America","docAbstract":"Dry deposition of atmospheric mercury (Hg) to various land covers surrounding 24 sites in North America was estimated for the years 2009 to 2014. Depending on location, multiyear mean annual Hg dry deposition was estimated to range from 5.1 to 23.8 μg m–2 yr–1 to forested canopies, 2.6 to 20.8 μg m–2 yr–1 to nonforest vegetated canopies, 2.4 to 11.2 μg m–2 yr–1 to urban and built up land covers, and 1.0 to 3.2 μg m–2 yr–1 to water surfaces. In the rural or remote environment in North America, annual Hg dry deposition to vegetated surfaces is dominated by leaf uptake of gaseous elemental mercury (GEM), contrary to what was commonly assumed in earlier studies which frequently omitted GEM dry deposition as an important process. Dry deposition exceeded wet deposition by a large margin in all of the seasons except in the summer at the majority of the sites. GEM dry deposition over vegetated surfaces will not decrease at the same pace, and sometimes may even increase with decreasing anthropogenic emissions, suggesting that Hg emission reductions should be a long-term policy sustained by global cooperation.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b04276","usgsCitation":"Zhang, L., Wu, Z., Cheng, I., Wright, L.P., Olson, M.L., Gay, D., Risch, M.R., Brooks, S., Castro, M.S., Conley, G.D., Edgerton, E.S., Holsen, T.M., Luke, W., Tordon, R., and Weiss-Penzias, P., 2016, The estimated six-year mercury dry deposition across North America: Environmental Science & Technology, v. 50, no. 23, p. 12864-12873, https://doi.org/10.1021/acs.est.6b04276.","productDescription":"10 p.","startPage":"12864","endPage":"12873","ipdsId":"IP-078907","costCenters":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":470328,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/66096","text":"External Repository"},{"id":332050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"23","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-22","publicationStatus":"PW","scienceBaseUri":"585116b9e4b08138bf1abd48","contributors":{"authors":[{"text":"Zhang, Leiming","contributorId":72516,"corporation":false,"usgs":true,"family":"Zhang","given":"Leiming","affiliations":[],"preferred":false,"id":655788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Zhiyong","contributorId":177431,"corporation":false,"usgs":false,"family":"Wu","given":"Zhiyong","email":"","affiliations":[],"preferred":false,"id":655789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheng, Irene","contributorId":177432,"corporation":false,"usgs":false,"family":"Cheng","given":"Irene","email":"","affiliations":[],"preferred":false,"id":655790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, L. Paige","contributorId":177433,"corporation":false,"usgs":false,"family":"Wright","given":"L.","email":"","middleInitial":"Paige","affiliations":[],"preferred":false,"id":655791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olson, Mark L.","contributorId":101693,"corporation":false,"usgs":true,"family":"Olson","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":655792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gay, David A.","contributorId":68022,"corporation":false,"usgs":true,"family":"Gay","given":"David A.","affiliations":[],"preferred":false,"id":655793,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Risch, Martin R. 0000-0002-7908-7887 mrrisch@usgs.gov","orcid":"https://orcid.org/0000-0002-7908-7887","contributorId":2118,"corporation":false,"usgs":true,"family":"Risch","given":"Martin","email":"mrrisch@usgs.gov","middleInitial":"R.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655794,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brooks, Steven","contributorId":177434,"corporation":false,"usgs":false,"family":"Brooks","given":"Steven","email":"","affiliations":[],"preferred":false,"id":655795,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Castro, Mark S.","contributorId":172723,"corporation":false,"usgs":false,"family":"Castro","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":655796,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Conley, Gary D.","contributorId":177435,"corporation":false,"usgs":false,"family":"Conley","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":655797,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Edgerton, Eric S.","contributorId":177436,"corporation":false,"usgs":false,"family":"Edgerton","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":655798,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Holsen, Thomas M.","contributorId":150058,"corporation":false,"usgs":false,"family":"Holsen","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":17897,"text":"Department of Civil and Environmental Engineering, Clarkson University, Potsdam, New York","active":true,"usgs":false}],"preferred":false,"id":655799,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Luke, Winston","contributorId":177437,"corporation":false,"usgs":false,"family":"Luke","given":"Winston","email":"","affiliations":[],"preferred":false,"id":655800,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tordon, Robert","contributorId":177438,"corporation":false,"usgs":false,"family":"Tordon","given":"Robert","email":"","affiliations":[],"preferred":false,"id":655801,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Weiss-Penzias, Peter","contributorId":177440,"corporation":false,"usgs":false,"family":"Weiss-Penzias","given":"Peter","affiliations":[],"preferred":false,"id":655802,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70179023,"text":"70179023 - 2016 - Changing agricultural practices: Potential consequences to aquatic organisms","interactions":[],"lastModifiedDate":"2018-08-09T12:05:12","indexId":"70179023","displayToPublicDate":"2016-12-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Changing agricultural practices: Potential consequences to aquatic organisms","docAbstract":"Agricultural practices pose threats to biotic diversity in freshwater systems with increasing use of glyphosate-based herbicides for weed control and animal waste for soil amendment becoming common in many regions. Over the past two decades, these particular agricultural trends have corresponded with marked declines in populations of fish and mussel species in the Upper Conasauga River watershed in Georgia/Tennessee, USA. To investigate the potential role of agriculture in the population declines, surface waters and sediments throughout the basin were tested for toxicity and analyzed for glyphosate, metals, nutrients, and steroid hormones. Assessments of chronic toxicity with Ceriodaphnia dubia and Hyalella azteca indicated that few water or sediment samples were harmful and metal concentrations were generally below impairment levels. Glyphosate was not observed in surface waters, although its primary degradation product, aminomethyl phosphonic acid (AMPA), was detected in 77% of the samples (mean = 509 μg/L, n = 99) and one or both compounds were measured in most sediment samples. Waterborne AMPA concentrations supported an inference that surfactants associated with glyphosate may be present at levels sufficient to affect early life stages of mussels. Nutrient enrichment of surface waters was widespread with nitrate (mean = 0.7 mg NO3-N/L, n = 179) and phosphorus (mean = 275 μg/L, n = 179) exceeding levels associated with eutrophication. Hormone concentrations in sediments were often above those shown to cause endocrine disruption in fish and appear to reflect the widespread application of poultry litter and manure. Observed species declines may be at least partially due to hormones, although excess nutrients and herbicide surfactants may also be implicated.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-016-5691-7","usgsCitation":"Lasier, P.J., Urich, M.L., Hassan, S.M., Jacobs, W.N., Bringolf, R.B., and Owens, K.M., 2016, Changing agricultural practices: Potential consequences to aquatic organisms: Environmental Monitoring and Assessment, v. 188, p. 1-17, https://doi.org/10.1007/s10661-016-5691-7.","productDescription":"Article 672; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-070145","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":332084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"188","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-15","publicationStatus":"PW","scienceBaseUri":"585116b8e4b08138bf1abd46","contributors":{"authors":[{"text":"Lasier, Peter J.","contributorId":6178,"corporation":false,"usgs":true,"family":"Lasier","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":655832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Urich, Matthew L.","contributorId":127367,"corporation":false,"usgs":false,"family":"Urich","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":6918,"text":"Georgia","active":true,"usgs":false}],"preferred":false,"id":655833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hassan, Sayed M.","contributorId":90027,"corporation":false,"usgs":true,"family":"Hassan","given":"Sayed","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobs, Whitney N.","contributorId":177444,"corporation":false,"usgs":false,"family":"Jacobs","given":"Whitney","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":655835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bringolf, Robert B.","contributorId":139241,"corporation":false,"usgs":true,"family":"Bringolf","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":655836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Owens, Kathleen M.","contributorId":177445,"corporation":false,"usgs":false,"family":"Owens","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655837,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178248,"text":"ofr20161194 - 2016 - Collection, processing, and quality assurance of time-series electromagnetic-induction log datasets, 1995–2016, south Florida","interactions":[],"lastModifiedDate":"2016-12-13T16:19:43","indexId":"ofr20161194","displayToPublicDate":"2016-12-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1194","title":"Collection, processing, and quality assurance of time-series electromagnetic-induction log datasets, 1995–2016, south Florida","docAbstract":"Time-series electromagnetic-induction log (TSEMIL) datasets are collected from polyvinyl-chloride cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic-induction logs, generally collected at a frequency of once per month or once per year that have been compiled into a dataset by eliminating small uniform offsets in bulk conductivity between logs probably caused by minor variations in calibration. These offsets are removed by selecting a depth at which no changes are apparent from year to year, and by adjusting individual logs to the median of all logs at the selected depth. Generally, the selected depths are within the freshwater saturated part of the aquifer, well below the water table. TSEMIL datasets can be used to monitor changes in water conductivity throughout the full thickness of an aquifer, without the need for long open-interval wells which have, in some instances, allowed vertical water flow within the well bore that has biased water conductivity profiles. The TSEMIL dataset compilation process enhances the ability to identify small differences between logs that were otherwise obscured by the offsets. As a result of TSEMIL dataset compilation, the root mean squared error of the linear regression between bulk conductivity of the electromagnetic-induction log measurements and the chloride concentration of water samples decreased from 17.4 to 1.7 millisiemens per meter in well G–3611 and from 3.7 to 2.2 millisiemens per meter in well G–3609. The primary use of the TSEMIL datasets in south Florida is to detect temporal changes in bulk conductivity associated with saltwater intrusion in the aquifer; however, other commonly observed changes include (1) variations in bulk conductivity near the water table where water saturation of pore spaces might vary and water temperature might be more variable, and (2) dissipation of conductive water in high-porosity rock layers, which might have entered these layers during drilling. Although TSEMIL dataset processing of even a few logs improves evaluations of the differences between the logs that are related to changes in the salinity, about 16 logs are needed to estimate the bulk conductivity within ±2 millisiemens per meter. Unlike many other types of data published by the U.S. Geological Survey, the median of TSEMIL datasets should not be considered final until 16 logs are collected and the median of the dataset is stable.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161194","usgsCitation":"Prinos, S.T., and Valderrama, Robert, 2016, Collection, processing, and quality assurance of time-series electromagnetic-induction log datasets, 1995–2016, south Florida: U.S. Geological Survey Open-File Report 2016–1194, 24 p., https://doi.org/10.3133/ofr20161194.","productDescription":"Report: vii, 24 p.; Data Release","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-069121","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":438492,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92Y62KV","text":"USGS data release","linkHelpText":"Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2018 Water Year in South Florida"},{"id":438491,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70R9NPF","text":"USGS data release","linkHelpText":"Time Series Electromagnetic Induction-Log Datasets, Including Logs Collected through the 2017 Water Year in South Florida"},{"id":438490,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BG2MWD","text":"USGS data release","linkHelpText":"Time Series Electromagnetic Induction-Log Datasets, Including LogsCollected through the 2016 Water Year in South Florida"},{"id":332010,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F78W3BF5","text":"USGS data release - Time Series Electromagnetic Induction Log datasets","description":"USGS Data Release"},{"id":331983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1194/coverthb.jpg"},{"id":331984,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1194/ofr20161194.pdf","text":"Report","size":"7.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1194"}],"country":"United States","state":"Florida","county":"Broward County, Glades County, Hendry County, Martin County, Miami-Dade County, Palm Beach County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.584716796875,\n 28.19792655722615\n ],\n [\n -80.2001953125,\n 27.430289738862594\n ],\n [\n -79.95849609375,\n 26.362342068998764\n ],\n [\n -80.04638671875,\n 25.97779895546436\n ],\n [\n -80.167236328125,\n 25.53252846853444\n ],\n [\n -80.474853515625,\n 25.11544539706194\n ],\n [\n -80.6396484375,\n 25.60190226111573\n ],\n [\n -80.96923828125,\n 26.49024045886963\n ],\n [\n -81.4306640625,\n 26.37218544169559\n ],\n [\n -81.661376953125,\n 27.059125784374068\n ],\n [\n -81.84814453125,\n 27.49852672279832\n ],\n [\n -80.584716796875,\n 28.19792655722615\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Thermochemical models have predicted that Ceres, is to some extent, differentiated and should have an icy crust with few or no impact craters. We present observations by the Dawn spacecraft that reveal a heavily cratered surface, a heterogeneous crater distribution, and an apparent absence of large craters. The morphology of some impact craters is consistent with ice in the subsurface, which might have favored relaxation, yet large unrelaxed craters are also present. Numerous craters exhibit polygonal shapes, terraces, flowlike features, slumping, smooth deposits, and bright spots. Crater morphology and simple-to-complex crater transition diameters indicate that the crust of Ceres is neither purely icy nor rocky. By dating a smooth region associated with the Kerwan crater, we determined absolute model ages (AMAs) of 550 million and 720 million years, depending on the applied chronology model.
Freshwater flow to the Ten Thousand Islands estuary has been altered by the construction of the Tamiami Trail and the Southern Golden Gate Estates. The Picayune Strand Restoration Project, which is associated with the Comprehensive Everglades Restoration Plan, has been implemented to improve freshwater delivery to the Ten Thousand Islands estuary by removing hundreds of miles of roads, emplacing hundreds of canal plugs, removing exotic vegetation, and constructing three pump stations. Quantifying the tributary flows and salinity patterns prior to, during, and after the restoration is essential to assessing the effectiveness of upstream restoration efforts.
Tributary flow and salinity patterns during preliminary restoration efforts and prior to the installation of pump stations were analyzed to provide baseline data and preliminary analysis of changes due to restoration efforts. The study assessed streamflow and salinity data for water years1 2007–2014 for the Faka Union River (canal flow included), East River, Little Wood River, Pumpkin River, and Blackwater River. Salinity data from the Palm River and Faka Union Boundary water-quality stations were also assessed.
Faka Union River was the dominant contributor of freshwater during water years 2007–14 to the Ten Thousand Islands estuary, followed by Little Wood and East Rivers. Pumpkin River and Blackwater River were the least substantial contributors of freshwater flow. The lowest annual flow volumes, the highest annual mean salinities, and the highest percentage of salinity values greater than 35 parts per thousand (ppt) occurred in water year 2011 at all sites with available data, corresponding with the lowest annual rainfall during the study. The highest annual flow volumes and the lowest percentage of salinities greater than 35 ppt occurred in water year 2013 for all sites with available data, corresponding with the highest rainfall during the study.
In water year 2014, the percentage of monitored annual flow contributed by East River increased and the percentage of flow contributed by Faka Union River decreased, compared to the earlier years. No changes in annual flow occurred at any sites west of Faka Union River. No changes in the relative flow contributions were observed during the wet season; however, the relative amounts of streamflow increased during the dry season at East River in 2014. East River had only 1 month of negative flow in 2014 compared to 6 months in 2011 and 7 months in 2008. Higher dry season flows in East River may be in response to restoration efforts. The sites to the west of Faka Union River had higher salinities on average than Faka Union River and East River. Faka Union River had the highest range in salinities, and Faka Union Boundary had the lowest range in salinities. Pumpkin River was the tributary with the lowest range in salinities.
1Water year is defined as the 12-month period from October 1, for any given year, through September 30 of the following year.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165158","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science","usgsCitation":"Booth, A.C., and Soderqvist, L.E., 2016, Flow characteristics and salinity patterns of tidal rivers within the northern Ten Thousand Islands, southwest Florida, water years 2007–14: U.S. Geological Survey Scientific\nInvestigations Report 2016–5158, 22 p., https://doi.org/10.3133/sir20165158.","productDescription":"vi, 22 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-072364","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":331582,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5158/coverthb.jpg"},{"id":331583,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5158/sir20165158.pdf","text":"Report","size":"4.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5158"}],"country":"United States","state":"Florida","otherGeospatial":"Ten Thousand Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.73553466796875,\n 25.79370901679868\n ],\n [\n -81.73553466796875,\n 26.16776399795339\n ],\n [\n -81.34002685546875,\n 26.16776399795339\n ],\n [\n -81.34002685546875,\n 25.79370901679868\n ],\n [\n -81.73553466796875,\n 25.79370901679868\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Recreational ground squirrel shooting is a popular activity throughout the western United States and serves as a tool for managing ground squirrel populations in agricultural regions. Belding’s ground squirrels (Spermophilus beldingi) are routinely shot in California, Nevada, and Oregon across habitats that overlap with breeding avian scavengers. Ground squirrels shot with lead (Pb)-based bullets may pose a risk to avian scavengers if they consume carcasses containing Pb fragments. To assess the potential risk to breeding avian scavengers we developed a model to estimate the number, mass, and distribution of Pb fragments in shot ground squirrels using radiographic images. Eighty percent of shot carcasses contained detectible Pb fragments with an average of 38.6 mg of Pb fragments. Seven percent of all carcasses contained Pb fragment masses exceeding a lethal dose for a model raptor nestling (e.g. American kestrel Falco sparverius). Bullet type did not influence the number of fragments in shot ground squirrels, but did influence the mass of fragments retained. Belding’s ground squirrels shot with .17 Super Mag and unknown ammunition types contained over 28 and 17 times more mass of Pb fragments than those shot with .22 solid and .22 hollow point bullets, respectively. Ground squirrel body mass was positively correlated with both the number and mass of Pb fragments in carcasses, increasing on average by 76% and 56% respectively across the range of carcass masses. Although the mass of Pb retained in ground squirrel carcasses was small relative to the original bullet mass, avian scavenger nestlings that frequently consume shot ground squirrels may be at risk for Pb-induced effects (e.g., physiology, growth, or survival). Using modeling efforts we found that if nestling golden eagles (Aquila chrysaetos), red-tailed hawks (Buteo jamaicensis), and Swainson’s hawks (B. swainsoni) consumed shot ground squirrels proportionately to the nestling’s mass, energy needs, and diet, 100% of the nestling period would exceed a 50% reduction in delta-aminolevulinic acid dehydratase production threshold, the last 13–27% of the nestling stage would exceed a reduced growth rate threshold, but no nestlings would be expected to exceed a level of Pb ingestion that would be lethal.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0167926","usgsCitation":"Herring, G., Eagles-Smith, C.A., and Wagner, M.T., 2016, Ground squirrel shooting and potential lead exposure in breeding avian scavengers: PLoS ONE, v. 11, no. 12, Article e0167926; 22 p., https://doi.org/10.1371/journal.pone.0167926.","productDescription":"Article e0167926; 22 p.","ipdsId":"IP-078699","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":470329,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0167926","text":"Publisher Index Page"},{"id":335946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":337384,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HM56J1","text":"Bullet fragments in Belding's ground squirrels in Oregon and California in 2014-2015"}],"country":"United States","state":"California, Oregon","county":"Lake County, Malheur County, Siskiyou County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.72066497802733,\n 43.40454862814641\n ],\n [\n -118.70899200439453,\n 43.40454862814641\n ],\n [\n -118.70899200439453,\n 43.414275651763674\n ],\n [\n -118.72066497802733,\n 43.414275651763674\n ],\n [\n -118.72066497802733,\n 43.40454862814641\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.95020294189452,\n 43.23494833218762\n ],\n [\n -120.92445373535155,\n 43.23494833218762\n ],\n [\n -120.92445373535155,\n 43.25545538602179\n ],\n [\n -120.95020294189452,\n 43.25545538602179\n ],\n [\n -120.95020294189452,\n 43.23494833218762\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.70997619628908,\n 41.82199022070215\n ],\n [\n -121.69143676757811,\n 41.82199022070215\n ],\n [\n -121.69143676757811,\n 41.83887416186901\n ],\n [\n -121.70997619628908,\n 41.83887416186901\n ],\n [\n -121.70997619628908,\n 41.82199022070215\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"58aeb13ae4b01ccd54f9ee16","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":670269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":670268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Mason T.","contributorId":182024,"corporation":false,"usgs":false,"family":"Wagner","given":"Mason","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":670270,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178199,"text":"ofr20161189 - 2016 - Estimating natural monthly streamflows in California and the likelihood of anthropogenic modification","interactions":[],"lastModifiedDate":"2017-02-15T11:23:48","indexId":"ofr20161189","displayToPublicDate":"2016-12-12T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1189","title":"Estimating natural monthly streamflows in California and the likelihood of anthropogenic modification","docAbstract":"Because natural patterns of streamflow are a fundamental property of the health of streams, there is a critical need to quantify the degree to which human activities have modified natural streamflows. A requirement for assessing streamflow modification in a given stream is a reliable estimate of flows expected in the absence of human influences. Although there are many techniques to predict streamflows in specific river basins, there is a lack of approaches for making predictions of natural conditions across large regions and over many decades. In this study conducted by the U.S. Geological Survey, in cooperation with The Nature Conservancy and Trout Unlimited, the primary objective was to develop empirical models that predict natural (that is, unaffected by land use or water management) monthly streamflows from 1950 to 2012 for all stream segments in California. Models were developed using measured streamflow data from the existing network of streams where daily flow monitoring occurs, but where the drainage basins have minimal human influences. Widely available data on monthly weather conditions and the physical attributes of river basins were used as predictor variables. Performance of regional-scale models was comparable to that of published mechanistic models for specific river basins, indicating the models can be reliably used to estimate natural monthly flows in most California streams. A second objective was to develop a model that predicts the likelihood that streams experience modified hydrology. New models were developed to predict modified streamflows at 558 streamflow monitoring sites in California where human activities affect the hydrology, using basin-scale geospatial indicators of land use and water management. Performance of these models was less reliable than that for the natural-flow models, but results indicate the models could be used to provide a simple screening tool for identifying, across the State of California, which streams may be experiencing anthropogenic flow modification.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161189","collaboration":"Prepared in cooperation with The Nature Conservancy and Trout Unlimited","usgsCitation":"Carlisle, D.M., Wolock, D.M., Howard, J.K., Grantham, T.E., Fesenmyer, Kurt, and Wieczorek, Michael, 2016, Estimating natural monthly streamflows in California and the likelihood of anthropogenic modification: U.S. Geological Survey Open-File Report 2016–1189, 27 p., https://doi.org/10.3133/ofr20161189.","productDescription":"vi, 27 p.","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-068823","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":438493,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MP51DS","text":"USGS data release","linkHelpText":"Data Release for: Empirical Models for Estimating Baseline Streamflows in California and their Likelihood of Anthropogenic Modification"},{"id":335491,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7MP51DS","text":"Empirical models for estimating baseline streamflows in California and their likelihood of anthropogenic modification"},{"id":331915,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1189/ofr20161189.pdf","text":"Report","size":"2.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1189"},{"id":331914,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1189/coverthb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-122.421439,37.869969],[-122.41847,37.852721],[-122.434403,37.852434],[-122.446316,37.861046],[-122.430958,37.872242],[-122.421439,37.869969]]],[[[-122.3785,37.826505],[-122.377879,37.830648],[-122.369941,37.832137],[-122.358779,37.814278],[-122.362661,37.807577],[-122.372422,37.811301],[-122.3785,37.826505]]],[[[-120.248484,33.999329],[-120.230001,34.010136],[-120.19578,34.004284],[-120.167306,34.008219],[-120.147647,34.024831],[-120.140362,34.025974],[-120.115058,34.019866],[-120.090182,34.019806],[-120.073609,34.024477],[-120.057637,34.03734],[-120.043259,34.035806],[-120.050382,34.013331],[-120.046575,34.000002],[-120.011123,33.979894],[-119.978876,33.983081],[-119.979913,33.969623],[-119.97026,33.944359],[-120.017715,33.936366],[-120.048611,33.915775],[-120.098601,33.907853],[-120.121817,33.895712],[-120.168974,33.91909],[-120.224461,33.989059],[-120.248484,33.999329]]],[[[-119.789798,34.05726],[-119.755521,34.056716],[-119.712576,34.043265],[-119.686507,34.019805],[-119.637742,34.013178],[-119.612226,34.021256],[-119.604287,34.031561],[-119.608798,34.035245],[-119.59324,34.049625],[-119.5667,34.053452],[-119.52064,34.034262],[-119.542449,34.021082],[-119.547072,34.005469],[-119.560464,33.99553],[-119.575636,33.996009],[-119.596877,33.988611],[-119.662825,33.985889],[-119.721206,33.959583],[-119.742966,33.963877],[-119.758141,33.959212],[-119.842748,33.97034],[-119.873358,33.980375],[-119.884896,34.008814],[-119.876329,34.032087],[-119.916216,34.058351],[-119.923337,34.069361],[-119.919155,34.07728],[-119.912857,34.077508],[-119.857304,34.071298],[-119.825865,34.059794],[-119.818742,34.052997],[-119.789798,34.05726]]],[[[-120.46258,34.042627],[-120.440248,34.036918],[-120.415287,34.05496],[-120.403613,34.050442],[-120.390906,34.051994],[-120.368813,34.06778],[-120.370176,34.074907],[-120.362251,34.073056],[-120.354982,34.059256],[-120.36029,34.05582],[-120.358608,34.050235],[-120.346946,34.046576],[-120.331161,34.049097],[-120.302122,34.023574],[-120.317052,34.018837],[-120.347706,34.020114],[-120.35793,34.015029],[-120.409368,34.032198],[-120.427408,34.025425],[-120.454134,34.028081],[-120.465329,34.038448],[-120.46258,34.042627]]],[[[-118.524531,32.895488],[-118.535823,32.90628],[-118.551134,32.945155],[-118.573522,32.969183],[-118.586928,33.008281],[-118.596037,33.015357],[-118.606559,33.01469],[-118.605534,33.030999],[-118.594033,33.035951],[-118.57516,33.033961],[-118.569013,33.029151],[-118.559171,33.006291],[-118.540069,32.980933],[-118.496811,32.933847],[-118.369984,32.839273],[-118.353504,32.821962],[-118.356541,32.817311],[-118.379968,32.824545],[-118.394565,32.823978],[-118.425634,32.800595],[-118.44492,32.820593],[-118.496298,32.851572],[-118.507193,32.876264],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.477646,33.448392],[-118.445812,33.428907],[-118.423576,33.427258],[-118.382037,33.409883],[-118.370323,33.409285],[-118.365094,33.388374],[-118.310213,33.335795],[-118.303174,33.320264],[-118.305084,33.310323],[-118.325244,33.299075],[-118.374768,33.320065],[-118.440047,33.318638],[-118.465368,33.326056],[-118.48877,33.356649],[-118.478465,33.38632],[-118.48875,33.419826],[-118.515914,33.422417],[-118.52323,33.430733],[-118.53738,33.434608],[-118.563442,33.434381],[-118.60403,33.47654],[-118.54453,33.474119],[-118.500212,33.449592]]],[[[-119.543842,33.280329],[-119.528141,33.284929],[-119.465717,33.259239],[-119.429559,33.228167],[-119.444269,33.21919],[-119.476029,33.21552],[-119.545872,33.233406],[-119.564971,33.24744],[-119.578942,33.278628],[-119.562042,33.271129],[-119.543842,33.280329]]],[[[-122.289533,42.007764],[-121.035195,41.993323],[-120.001058,41.995139],[-119.995926,40.499901],[-120.005743,39.228664],[-120.001014,38.999574],[-119.333423,38.538328],[-118.714312,38.102185],[-117.875927,37.497267],[-117.244917,37.030244],[-116.488233,36.459097],[-115.852908,35.96966],[-115.102881,35.379371],[-114.633013,35.002085],[-114.629015,34.986148],[-114.634953,34.958918],[-114.629753,34.938684],[-114.635176,34.875003],[-114.623939,34.859738],[-114.586842,34.835672],[-114.57101,34.794294],[-114.552682,34.766871],[-114.516619,34.736745],[-114.470477,34.711368],[-114.452628,34.668546],[-114.451753,34.654321],[-114.441465,34.64253],[-114.438739,34.621455],[-114.424202,34.610453],[-114.429747,34.591734],[-114.422382,34.580711],[-114.405228,34.569637],[-114.380838,34.529724],[-114.378124,34.507288],[-114.386699,34.457911],[-114.375789,34.447798],[-114.335372,34.450038],[-114.32613,34.437251],[-114.294836,34.421389],[-114.286802,34.40534],[-114.264317,34.401329],[-114.226107,34.365916],[-114.199482,34.361373],[-114.176909,34.349306],[-114.157206,34.317862],[-114.138282,34.30323],[-114.134768,34.268965],[-114.139055,34.259538],[-114.159697,34.258242],[-114.223384,34.205136],[-114.229715,34.186928],[-114.254141,34.173831],[-114.287294,34.170529],[-114.320777,34.138635],[-114.353031,34.133121],[-114.366521,34.118575],[-114.390565,34.110084],[-114.411681,34.110031],[-114.43338,34.088413],[-114.43934,34.057893],[-114.434949,34.037784],[-114.438266,34.022609],[-114.46283,34.008421],[-114.46117,33.994687],[-114.499883,33.961789],[-114.522002,33.955623],[-114.535478,33.934651],[-114.533679,33.926072],[-114.508558,33.906098],[-114.518555,33.889847],[-114.50434,33.876882],[-114.503017,33.867998],[-114.514673,33.858638],[-114.52453,33.858477],[-114.529597,33.848063],[-114.520465,33.827778],[-114.527161,33.816191],[-114.504863,33.760465],[-114.504483,33.750998],[-114.512348,33.734214],[-114.496565,33.719155],[-114.494197,33.707922],[-114.495719,33.698454],[-114.523959,33.685879],[-114.531523,33.675108],[-114.525201,33.661583],[-114.530244,33.65014],[-114.526947,33.637534],[-114.529662,33.622794],[-114.524813,33.611351],[-114.540617,33.591412],[-114.5403,33.580615],[-114.524391,33.553683],[-114.558898,33.531819],[-114.560552,33.518272],[-114.569533,33.509219],[-114.591554,33.499443],[-114.622918,33.456561],[-114.627125,33.433554],[-114.635183,33.422726],[-114.652828,33.412922],[-114.687953,33.417944],[-114.701732,33.408388],[-114.725535,33.404056],[-114.708408,33.384147],[-114.698035,33.352442],[-114.707962,33.323421],[-114.731223,33.302434],[-114.723259,33.288079],[-114.684363,33.276025],[-114.672401,33.26047],[-114.689421,33.24525],[-114.674479,33.225504],[-114.678749,33.203448],[-114.675831,33.18152],[-114.679359,33.159519],[-114.703682,33.113769],[-114.706488,33.08816],[-114.68902,33.084036],[-114.686991,33.070969],[-114.674296,33.057171],[-114.673659,33.041897],[-114.662317,33.032671],[-114.64598,33.048903],[-114.618788,33.027202],[-114.589778,33.026228],[-114.575161,33.036542],[-114.52013,33.029984],[-114.502871,33.011153],[-114.492938,32.971781],[-114.476156,32.975168],[-114.467664,32.966861],[-114.469113,32.952673],[-114.48074,32.937027],[-114.47664,32.923628],[-114.462929,32.907944],[-114.468971,32.845155],[-114.494116,32.823288],[-114.510217,32.816417],[-114.530755,32.793485],[-114.532432,32.776923],[-114.526856,32.757094],[-114.539093,32.756949],[-114.539224,32.749812],[-114.564447,32.749554],[-114.564508,32.742298],[-114.581736,32.742321],[-114.581784,32.734946],[-114.612697,32.734516],[-114.618373,32.728245],[-114.688779,32.737675],[-114.701918,32.745548],[-114.719633,32.718763],[-116.04662,32.623353],[-117.124862,32.534156],[-117.136664,32.618754],[-117.168866,32.671952],[-117.196767,32.688851],[-117.213068,32.687751],[-117.236239,32.671353],[-117.246069,32.669352],[-117.25757,32.72605],[-117.25257,32.752949],[-117.25497,32.786948],[-117.26107,32.803148],[-117.280971,32.822247],[-117.28217,32.839547],[-117.27387,32.851447],[-117.26497,32.848947],[-117.25617,32.859447],[-117.25167,32.874346],[-117.25447,32.900146],[-117.28077,33.012343],[-117.315278,33.093504],[-117.328359,33.121842],[-117.362572,33.168437],[-117.469794,33.296417],[-117.50565,33.334063],[-117.547693,33.365491],[-117.59588,33.386629],[-117.607905,33.406317],[-117.645582,33.440728],[-117.684584,33.461927],[-117.691984,33.456627],[-117.715349,33.460556],[-117.726486,33.483427],[-117.784888,33.541525],[-117.814188,33.552224],[-117.840289,33.573523],[-117.87679,33.592322],[-117.927091,33.605521],[-117.940591,33.620021],[-118.000593,33.654319],[-118.029694,33.676418],[-118.088896,33.729817],[-118.132698,33.753217],[-118.180831,33.763072],[-118.187701,33.749218],[-118.181367,33.717367],[-118.207476,33.716905],[-118.258687,33.703741],[-118.317205,33.712818],[-118.360505,33.736817],[-118.385006,33.741417],[-118.396606,33.735917],[-118.411211,33.741985],[-118.428407,33.774715],[-118.405007,33.800215],[-118.394376,33.804289],[-118.392107,33.840915],[-118.460611,33.969111],[-118.482729,33.995912],[-118.519514,34.027509],[-118.543115,34.038508],[-118.569235,34.04164],[-118.609652,34.036424],[-118.668358,34.038887],[-118.706215,34.029383],[-118.744952,34.032103],[-118.783433,34.021543],[-118.805114,34.001239],[-118.854653,34.034215],[-118.928048,34.045847],[-118.938081,34.043383],[-119.004644,34.066231],[-119.037494,34.083111],[-119.088536,34.09831],[-119.109784,34.094566],[-119.130169,34.100102],[-119.18864,34.139005],[-119.216441,34.146105],[-119.257043,34.213304],[-119.278644,34.266902],[-119.290945,34.274902],[-119.313034,34.275689],[-119.337475,34.290576],[-119.370356,34.319486],[-119.388249,34.317398],[-119.42777,34.353016],[-119.461036,34.374064],[-119.536957,34.395495],[-119.559459,34.413395],[-119.616862,34.420995],[-119.638864,34.415696],[-119.671866,34.416096],[-119.688167,34.412497],[-119.684666,34.408297],[-119.709067,34.395397],[-119.729369,34.395897],[-119.794771,34.417597],[-119.835771,34.415796],[-119.853771,34.407996],[-119.873971,34.408795],[-119.925227,34.433931],[-119.956433,34.435288],[-120.008077,34.460447],[-120.038828,34.463434],[-120.088591,34.460208],[-120.141165,34.473405],[-120.25777,34.467451],[-120.295051,34.470623],[-120.341369,34.458789],[-120.471376,34.447846],[-120.47661,34.475131],[-120.511421,34.522953],[-120.581293,34.556959],[-120.622575,34.554017],[-120.637805,34.56622],[-120.645739,34.581035],[-120.640244,34.604406],[-120.60197,34.692095],[-120.60045,34.70464],[-120.614852,34.730709],[-120.62632,34.738072],[-120.637415,34.755895],[-120.616296,34.816308],[-120.610266,34.85818],[-120.616325,34.866739],[-120.639283,34.880413],[-120.647328,34.901133],[-120.670835,34.904115],[-120.63999,35.002963],[-120.629931,35.061515],[-120.630957,35.101941],[-120.644311,35.139616],[-120.651134,35.147768],[-120.662475,35.153357],[-120.675074,35.153061],[-120.698906,35.171192],[-120.714185,35.175998],[-120.74887,35.177795],[-120.754823,35.174701],[-120.756086,35.160459],[-120.760492,35.15971],[-120.778998,35.168897],[-120.786076,35.177666],[-120.856047,35.206487],[-120.89679,35.247877],[-120.862684,35.346776],[-120.866099,35.393045],[-120.884757,35.430196],[-120.907937,35.449069],[-120.946546,35.446715],[-120.969436,35.460197],[-121.003359,35.46071],[-121.101595,35.548814],[-121.126027,35.593058],[-121.143561,35.606046],[-121.166712,35.635399],[-121.251034,35.656641],[-121.284973,35.674109],[-121.289794,35.689428],[-121.314632,35.71331],[-121.315786,35.75252],[-121.332449,35.783106],[-121.388053,35.823483],[-121.413146,35.855316],[-121.439584,35.86695],[-121.462264,35.885618],[-121.461227,35.896906],[-121.472435,35.91989],[-121.4862,35.970348],[-121.503112,36.000299],[-121.531876,36.014368],[-121.574602,36.025156],[-121.590395,36.050363],[-121.592853,36.065062],[-121.606845,36.072065],[-121.618672,36.087767],[-121.629634,36.114452],[-121.680145,36.165818],[-121.717176,36.195146],[-121.779851,36.227407],[-121.797059,36.234211],[-121.813734,36.234235],[-121.826425,36.24186],[-121.851967,36.277831],[-121.874797,36.289064],[-121.888491,36.30281],[-121.894714,36.317806],[-121.892917,36.340428],[-121.905446,36.358269],[-121.903195,36.393603],[-121.914378,36.404344],[-121.91474,36.42589],[-121.9416,36.485602],[-121.938763,36.506423],[-121.944666,36.521861],[-121.925937,36.525173],[-121.932508,36.559935],[-121.942533,36.566435],[-121.957335,36.564482],[-121.978592,36.580488],[-121.970427,36.582754],[-121.941666,36.618059],[-121.93643,36.636746],[-121.923866,36.634559],[-121.890164,36.609259],[-121.889064,36.601759],[-121.860604,36.611136],[-121.831995,36.644856],[-121.814462,36.682858],[-121.807062,36.714157],[-121.805643,36.750239],[-121.788278,36.803994],[-121.809363,36.848654],[-121.862266,36.931552],[-121.894667,36.961851],[-121.930069,36.97815],[-121.95167,36.97145],[-121.972771,36.954151],[-122.012373,36.96455],[-122.023373,36.96215],[-122.027174,36.95115],[-122.050122,36.948523],[-122.105976,36.955951],[-122.155078,36.98085],[-122.20618,37.013949],[-122.252181,37.059448],[-122.284882,37.101747],[-122.306139,37.116383],[-122.337071,37.117382],[-122.337833,37.135936],[-122.359791,37.155574],[-122.367085,37.172817],[-122.390599,37.182988],[-122.405073,37.195791],[-122.407181,37.219465],[-122.419113,37.24147],[-122.411686,37.265844],[-122.40085,37.359225],[-122.423286,37.392542],[-122.443687,37.435941],[-122.452087,37.48054],[-122.472388,37.50054],[-122.493789,37.492341],[-122.499289,37.495341],[-122.516689,37.52134],[-122.519533,37.537302],[-122.513688,37.552239],[-122.517187,37.590637],[-122.501386,37.599637],[-122.494085,37.644035],[-122.496784,37.686433],[-122.514483,37.780829],[-122.50531,37.788312],[-122.485783,37.790629],[-122.478083,37.810828],[-122.463793,37.804653],[-122.407452,37.811441],[-122.398139,37.80563],[-122.385323,37.790724],[-122.375854,37.734979],[-122.356784,37.729505],[-122.361749,37.71501],[-122.370411,37.717572],[-122.391374,37.708331],[-122.387626,37.67906],[-122.374291,37.662206],[-122.3756,37.652389],[-122.387381,37.648462],[-122.386072,37.637662],[-122.35531,37.615736],[-122.358583,37.611155],[-122.373309,37.613773],[-122.378545,37.605592],[-122.360219,37.592501],[-122.317676,37.590865],[-122.305895,37.575484],[-122.262698,37.572866],[-122.214264,37.538505],[-122.196593,37.537196],[-122.194957,37.522469],[-122.168449,37.504143],[-122.155686,37.501198],[-122.140142,37.507907],[-122.127706,37.500053],[-122.111344,37.50758],[-122.111998,37.528851],[-122.147014,37.588411],[-122.145378,37.600846],[-122.152905,37.640771],[-122.163049,37.667933],[-122.246826,37.72193],[-122.257953,37.739601],[-122.257134,37.745001],[-122.242638,37.753744],[-122.253753,37.761218],[-122.293996,37.770416],[-122.330963,37.786035],[-122.33555,37.799538],[-122.333711,37.809797],[-122.323567,37.823214],[-122.303931,37.830087],[-122.301313,37.847758],[-122.310477,37.873938],[-122.309986,37.892755],[-122.32373,37.905845],[-122.33453,37.908791],[-122.35711,37.908791],[-122.367582,37.903882],[-122.385908,37.908136],[-122.39049,37.922535],[-122.413725,37.937262],[-122.430087,37.963115],[-122.415361,37.963115],[-122.399832,37.956009],[-122.367582,37.978168],[-122.361905,37.989991],[-122.367909,38.01253],[-122.340093,38.003694],[-122.321112,38.012857],[-122.300823,38.010893],[-122.283478,38.022674],[-122.262861,38.0446],[-122.273006,38.07438],[-122.314567,38.115287],[-122.366273,38.141467],[-122.39638,38.149976],[-122.403514,38.150624],[-122.409798,38.136231],[-122.439577,38.116923],[-122.454958,38.118887],[-122.489974,38.112014],[-122.483757,38.071762],[-122.499465,38.032165],[-122.497828,38.019402],[-122.481466,38.007621],[-122.462812,38.003367],[-122.452995,37.996167],[-122.448413,37.984713],[-122.456595,37.978823],[-122.471975,37.981768],[-122.488665,37.966714],[-122.487684,37.948716],[-122.479175,37.941516],[-122.48572,37.937589],[-122.499465,37.939225],[-122.503064,37.928753],[-122.478193,37.918608],[-122.471975,37.910427],[-122.472303,37.902573],[-122.458558,37.894064],[-122.448413,37.89341],[-122.438268,37.880974],[-122.45005,37.871157],[-122.462158,37.868866],[-122.480811,37.873448],[-122.479151,37.825428],[-122.505383,37.822128],[-122.548986,37.836227],[-122.561487,37.851827],[-122.584289,37.859227],[-122.60129,37.875126],[-122.656519,37.904519],[-122.682171,37.90645],[-122.70264,37.89382],[-122.727297,37.904626],[-122.736898,37.925825],[-122.766138,37.938004],[-122.783244,37.951334],[-122.797405,37.976657],[-122.821383,37.996735],[-122.856573,38.016717],[-122.882114,38.025273],[-122.939711,38.031908],[-122.956811,38.02872],[-122.981776,38.009119],[-122.97439,37.992429],[-123.024066,37.994878],[-123.011533,38.003438],[-122.99242,38.041758],[-122.960889,38.112962],[-122.949074,38.15406],[-122.953629,38.17567],[-122.965408,38.187113],[-122.968112,38.202428],[-122.993959,38.237602],[-122.968569,38.242879],[-122.967203,38.250691],[-122.977082,38.267902],[-122.986319,38.273164],[-123.002911,38.295708],[-123.024333,38.310573],[-123.038742,38.313576],[-123.051061,38.310693],[-123.053504,38.299385],[-123.063671,38.302178],[-123.074684,38.322574],[-123.068437,38.33521],[-123.068265,38.359865],[-123.128825,38.450418],[-123.202277,38.494314],[-123.249797,38.511045],[-123.287156,38.540223],[-123.331899,38.565542],[-123.343338,38.590008],[-123.371876,38.607235],[-123.398166,38.647044],[-123.441774,38.699744],[-123.461291,38.717001],[-123.514784,38.741966],[-123.541837,38.776764],[-123.579856,38.802835],[-123.58638,38.802857],[-123.605317,38.822765],[-123.647387,38.845472],[-123.659846,38.872529],[-123.71054,38.91323],[-123.725367,38.917438],[-123.726315,38.936367],[-123.738886,38.95412],[-123.729053,38.956667],[-123.711149,38.977316],[-123.6969,39.004401],[-123.690095,39.031157],[-123.693969,39.057363],[-123.713392,39.108422],[-123.721505,39.125327],[-123.737913,39.143442],[-123.742221,39.164885],[-123.765891,39.193657],[-123.774998,39.212083],[-123.777368,39.237214],[-123.787893,39.264327],[-123.803848,39.278771],[-123.803081,39.291747],[-123.811387,39.312825],[-123.808772,39.324368],[-123.822085,39.343857],[-123.826306,39.36871],[-123.81469,39.446538],[-123.766475,39.552803],[-123.787417,39.604552],[-123.782322,39.621486],[-123.792659,39.684122],[-123.808208,39.710715],[-123.829545,39.723071],[-123.838089,39.752409],[-123.839797,39.795637],[-123.851714,39.832041],[-123.907664,39.863028],[-123.930047,39.909697],[-123.954952,39.922373],[-123.980031,39.962458],[-124.035904,40.013319],[-124.056408,40.024305],[-124.068908,40.021307],[-124.079983,40.029773],[-124.080709,40.06611],[-124.110549,40.103765],[-124.187874,40.130542],[-124.214895,40.160902],[-124.296497,40.208816],[-124.320912,40.226617],[-124.327691,40.23737],[-124.34307,40.243979],[-124.363414,40.260974],[-124.363634,40.276212],[-124.347853,40.314634],[-124.362796,40.350046],[-124.365357,40.374855],[-124.373599,40.392923],[-124.391496,40.407047],[-124.409591,40.438076],[-124.38494,40.48982],[-124.383224,40.499852],[-124.387023,40.504954],[-124.382816,40.519],[-124.329404,40.61643],[-124.158322,40.876069],[-124.137066,40.925732],[-124.118147,40.989263],[-124.112165,41.028173],[-124.125448,41.048504],[-124.138217,41.054342],[-124.153622,41.05355],[-124.154513,41.087159],[-124.160556,41.099011],[-124.159065,41.121957],[-124.165414,41.129822],[-124.158539,41.143021],[-124.149674,41.140845],[-124.1438,41.144686],[-124.106986,41.229678],[-124.072294,41.374844],[-124.063076,41.439579],[-124.066057,41.470258],[-124.081427,41.511228],[-124.081987,41.547761],[-124.092404,41.553615],[-124.101123,41.569192],[-124.097385,41.585251],[-124.100961,41.602499],[-124.114413,41.616768],[-124.120225,41.640354],[-124.135552,41.657307],[-124.147412,41.717955],[-124.164716,41.740126],[-124.17739,41.745756],[-124.194953,41.736778],[-124.23972,41.7708],[-124.248704,41.771459],[-124.255994,41.783014],[-124.245027,41.7923],[-124.230678,41.818681],[-124.208439,41.888192],[-124.203402,41.940964],[-124.204948,41.983441],[-124.211605,41.99846],[-123.656998,41.995137],[-123.624554,41.999837],[-123.347562,41.999108],[-123.145959,42.009247],[-123.045254,42.003049],[-122.893961,42.002605],[-122.289533,42.007764]]]]},\"properties\":{\"name\":\"California\",\"nation\":\"USA \"}}]}","contact":"Chief, National Water-Quality Assessment Program
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
Using a geology-based assessment methodology, the U.S. Geological Survey estimated a mean of 20 trillion cubic feet of undiscovered, technically recoverable coalbed gas resource in the Central and South Sumatra Basin Provinces of Indonesia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163089","usgsCitation":"Schenk, C.J., Klett, T.R., Tennyson, M.E., Mercier, T.J., Brownfield, M.E., Pitman, J.K., Gaswirth, S.B., and Finn, T.M., 2016, Assessment of coalbed gas resources of the Central and South Sumatra Basin Provinces, Indonesia, 2016: U.S. Geological Survey Fact Sheet 2016–3089, 2 p., https://doi.org/10.3133/fs20163089.\n","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-076191","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":331695,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3089/fs20163089.pdf","text":"Report","size":"364 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3089"},{"id":331694,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3089/coverthb.jpg"}],"country":"Indonesia","otherGeospatial":"Central and South Sumatra Basin Provinces","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 100.843505859375,\n 3.370856476926319\n ],\n [\n 99.20654296875,\n 2.4162756547063857\n ],\n [\n 99.283447265625,\n 1.845383988573187\n ],\n [\n 99.481201171875,\n 1.2743089918452106\n ],\n [\n 100.118408203125,\n 0.7031073524364909\n ],\n [\n 100.535888671875,\n -0.06591795420830737\n ],\n [\n 100.74462890625,\n -0.39550467153200675\n ],\n [\n 100.87646484375,\n -0.8019757647536598\n ],\n [\n 101.1181640625,\n -1.2743089918452106\n ],\n [\n 101.90917968749999,\n -1.845383988573187\n ],\n [\n 102.37060546875,\n -2.5699386165358837\n ],\n [\n 102.87597656249999,\n -3.1953637983293928\n ],\n [\n 103.17260742187499,\n -3.436658158559079\n ],\n [\n 103.634033203125,\n -3.8313699273994\n ],\n [\n 104.095458984375,\n -4.0286587193699095\n ],\n [\n 104.3701171875,\n -4.1382430839837125\n ],\n [\n 105.029296875,\n -4.379274753863339\n ],\n [\n 105.809326171875,\n -4.455950571647079\n ],\n [\n 106.14990234375,\n -4.3245014930191905\n ],\n [\n 106.138916015625,\n -3.90809888189411\n ],\n [\n 106.094970703125,\n -3.579212785860631\n ],\n [\n 106.171875,\n -3.2173020581871374\n ],\n [\n 105.93017578125,\n -2.844290042813274\n ],\n [\n 105.765380859375,\n -2.471157337748159\n ],\n [\n 105.57861328125,\n -2.3065056838291094\n ],\n [\n 105.49072265625,\n -2.2955282141879016\n ],\n [\n 105.0732421875,\n -2.1857489471296665\n ],\n [\n 104.8974609375,\n -1.834403324493515\n ],\n [\n 104.820556640625,\n -1.3951257897508238\n ],\n [\n 104.600830078125,\n -0.9008417889908868\n ],\n [\n 104.490966796875,\n -0.7909904981540058\n ],\n [\n 104.117431640625,\n -0.6921218386632358\n ],\n [\n 103.974609375,\n -0.4064907305738824\n ],\n [\n 103.82080078125,\n -0.14282211771737158\n ],\n [\n 103.4033203125,\n 0.36254640877526295\n ],\n [\n 102.908935546875,\n 1.142502403706165\n ],\n [\n 102.54638671875,\n 1.5928123762763\n ],\n [\n 102.183837890625,\n 1.867345112921926\n ],\n [\n 101.8212890625,\n 2.1637921174107735\n ],\n [\n 101.44775390625,\n 2.5370123584000273\n ],\n [\n 101.129150390625,\n 2.9101249120129142\n ],\n [\n 100.843505859375,\n 3.370856476926319\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 689 million barrels of continuous shale oil and 3.9 trillion cubic feet of shale gas in the South Sumatra Basin Province in Indonesia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163090","usgsCitation":"Schenk, C.J., Tennyson, M.E., Klett, T.R., Finn, T.M., Mercier, T.J., Gaswirth, S.B., Marra, K.R., Le, P.A., and Hawkins, S.J., 2016, Assessment of continuous oil and gas resources of the South Sumatra Basin Province, Indonesia, 2016: U.S. Geological Survey Fact Sheet 2016–3090, 2 p., https://doi.org/10.3133/fs20163090.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-077729","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":331659,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3090/fs20163090.pdf","text":"Report","size":"448 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3090"},{"id":331658,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3090/coverthb2.jpg"}],"country":"Indonesia","otherGeospatial":"South Sumatra Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 105.809326171875,\n -5.670651222566598\n ],\n [\n 101.546630859375,\n -1.7575368113083125\n ],\n [\n 103.95263671874999,\n -0.3076157096439005\n ],\n [\n 106.19384765625,\n -2.964984369333955\n ],\n [\n 105.809326171875,\n -5.670651222566598\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
Natural resource decision makers are challenged to adapt management to a changing climate while balancing short-term management goals with long-term changes in aquatic systems. Adaptation will require developing resilient ecosystems and resilient management systems. Decision makers already have tools to develop or ensure resilient aquatic systems and fisheries such as managing harvest and riparian zones. Because fisheries management often interacts with multiple stakeholders, adaptation strategies involving fisheries managers and other partners focused on land use, policy, and human systems, coupled with long-term monitoring, are necessary for resilient systems. We show how agencies and organizations are adapting to a changing climate in Minnesota and Ontario lakes and Montana streams. We also present how the Florida Fish and Wildlife Commission created a management structure to develop adaptation strategies. These examples demonstrate how organizations and agencies can cope with climate change effects on fishes and fisheries through creating resilient management and ecological systems.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/03632415.2016.1185009","usgsCitation":"Paukert, C.P., Glazer, B.A., Hansen, G.J., Irwin, B.J., Jacobson, P.C., Kershner, J.L., Shuter, B.J., Whitney, J.E., and Lynch, A.J., 2016, Adapting inland fisheries management to a changing climate: Fisheries, v. 41, no. 7, p. 374-384, https://doi.org/10.1080/03632415.2016.1185009.","productDescription":"11 p.","startPage":"374","endPage":"384","ipdsId":"IP-069907","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":331804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"584bd0dae4b077fc20250df4","contributors":{"authors":[{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":655318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glazer, Bob A.","contributorId":177329,"corporation":false,"usgs":false,"family":"Glazer","given":"Bob","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J. A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":655351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":655352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobson, Peter C.","contributorId":177331,"corporation":false,"usgs":false,"family":"Jacobson","given":"Peter","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":655353,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":655354,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shuter, Brian J.","contributorId":29372,"corporation":false,"usgs":true,"family":"Shuter","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":655355,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whitney, James E.","contributorId":176500,"corporation":false,"usgs":false,"family":"Whitney","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655356,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lynch, Abigail J. 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":5645,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":655357,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70178864,"text":"70178864 - 2016 - Fishes in paleochannels of the Lower Mississippi River alluvial valley: A national treasure","interactions":[],"lastModifiedDate":"2018-02-28T14:33:29","indexId":"70178864","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Fishes in paleochannels of the Lower Mississippi River alluvial valley: A national treasure","docAbstract":"Fluvial geomorphology of the alluvial valley of the Lower Mississippi River reveals a fascinating history. A prominent occupant of the valley was the Ohio River, estimated to have flowed 25,000 years ago over western Tennessee and Mississippi to join the Mississippi River north of Baton Rouge, Louisiana, 750–800 km south of the present confluence. Over time, shifts in the Mississippi and Ohio rivers toward their contemporary positions have left a legacy of abandoned paleochannels supportive of unique fish assemblages. Relative to channels abandoned in the last 500 years, paleochannels exhibit harsher environmental conditions characteristic of hypereutrophic lakes and support tolerant fish assemblages. Considering their ecological, geological, and historical importance, coupled with their primordial scenery, the hundreds of paleochannels in the valley represent a national treasure. Altogether, these waterscapes are endangered by human activities and would benefit from the conservation attention afforded to our national parks and wildlife refuges.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/03632415.2016.1219949","usgsCitation":"Miranda, L.E., 2016, Fishes in paleochannels of the Lower Mississippi River alluvial valley: A national treasure: Fisheries, v. 41, no. 10, p. 578-588, https://doi.org/10.1080/03632415.2016.1219949.","productDescription":"11 p.","startPage":"578","endPage":"588","ipdsId":"IP-069987","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/03632415.2016.1219949","text":"Publisher Index Page"},{"id":331810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Mississippi River valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.670654296875,\n 37.09900294387622\n ],\n [\n -88.22021484375,\n 36.60670888641815\n ],\n [\n -88.53881835937499,\n 35.817813158696616\n ],\n [\n -89.110107421875,\n 34.94899072578227\n ],\n [\n -89.69238281249999,\n 34.17090836352573\n ],\n [\n -90.010986328125,\n 33.55970664841198\n ],\n [\n -90.28564453124999,\n 32.85190345738802\n ],\n [\n -90.5712890625,\n 32.175612478499325\n ],\n [\n -90.5712890625,\n 31.512995857454676\n ],\n [\n -90.50537109375,\n 30.826780904779774\n ],\n [\n -89.736328125,\n 30.20211367909724\n ],\n [\n -89.439697265625,\n 29.7453016622136\n ],\n [\n -89.439697265625,\n 29.23847708592805\n ],\n [\n -90.28564453124999,\n 29.161755515328824\n ],\n [\n -90.95581054687499,\n 29.23847708592805\n ],\n [\n -91.549072265625,\n 29.420460341013133\n ],\n [\n -92.08740234375,\n 29.630771207229\n ],\n [\n -92.39501953125,\n 30.097613277217132\n ],\n [\n -92.471923828125,\n 30.56226095049944\n ],\n [\n -92.2412109375,\n 31.325486676506983\n ],\n [\n -92.054443359375,\n 31.71882222408327\n ],\n [\n -92.2412109375,\n 32.14771106595571\n ],\n [\n -92.17529296875,\n 32.565333160841035\n ],\n [\n -91.8896484375,\n 32.99945000822837\n ],\n [\n -91.8896484375,\n 33.458942753687644\n ],\n [\n -92.021484375,\n 33.93424531117312\n ],\n [\n -92.16430664062499,\n 34.298068350990825\n ],\n [\n -92.230224609375,\n 34.72355492704221\n ],\n [\n -91.58203125,\n 35.43381992014202\n ],\n [\n -90.87890625,\n 36.11125252076156\n ],\n [\n -90.780029296875,\n 36.359374956015856\n ],\n [\n -90.17578124999999,\n 37.09023980307208\n ],\n [\n -89.12109375,\n 37.309014074275915\n ],\n [\n -88.670654296875,\n 37.09900294387622\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"10","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-23","publicationStatus":"PW","scienceBaseUri":"584bd0d9e4b077fc20250df0","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":655369,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70178858,"text":"70178858 - 2016 - Characteristics of lesser prairie-chicken (Tympanuchus pallidicinctus) long-distance movements across their distribution","interactions":[],"lastModifiedDate":"2016-12-09T13:40:19","indexId":"70178858","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics of lesser prairie-chicken (Tympanuchus pallidicinctus) long-distance movements across their distribution","docAbstract":"Long-distance movements are important adaptive behaviors that contribute to population, community, and ecosystem connectivity. However, researchers have a poor understanding of the characteristics of long-distance movements for most species. Here, we examined long-distance movements for the lesser prairie-chicken (Tympanuchus pallidicinctus), a species of conservation concern. We addressed the following questions: (1) At what distances could populations be connected? (2) What are the characteristics and probability of dispersal movements? (3) Do lesser prairie-chickens display exploratory and round-trip movements? (4) Do the characteristics of long-distance movements vary by site? Movements were examined from populations using satellite GPS transmitters across the entire distribution of the species in New Mexico, Oklahoma, Kansas, and Colorado. Dispersal movements were recorded up to 71 km net displacement, much farther than hitherto recorded. These distances suggest that there may be greater potential connectivity among populations than previously thought. Dispersal movements were displayed primarily by females and had a northerly directional bias. Dispersal probabilities ranged from 0.08 to 0.43 movements per year for both sexes combined, although these movements averaged only 16 km net displacement. Lesser prairie-chickens displayed both exploratory foray loops and round-trip movements. Half of round-trip movements appeared seasonal, suggesting a partial migration in some populations. None of the long-distance movements varied by study site. Data presented here will be important in parameterizing models assessing population viability and informing conservation planning, although further work is needed to identify landscape features that may reduce connectivity among populations.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1441","usgsCitation":"Earl, J.E., Fuhlendorf, S.D., Haukos, D.A., Tanner, A.M., Elmore, D., and Carleton, S.A., 2016, Characteristics of lesser prairie-chicken (Tympanuchus pallidicinctus) long-distance movements across their distribution: Ecosphere, v. 7, no. 8, e01441: 13 p., https://doi.org/10.1002/ecs2.1441.","productDescription":"e01441: 13 p.","ipdsId":"IP-071103","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1441","text":"Publisher Index Page"},{"id":331802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Oklahoma, New Mexico, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.77636718749999,\n 33.742612777346885\n ],\n [\n -105.77636718749999,\n 39.2832938689385\n ],\n [\n -96.3720703125,\n 39.2832938689385\n ],\n [\n -96.3720703125,\n 33.742612777346885\n ],\n [\n -105.77636718749999,\n 33.742612777346885\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-25","publicationStatus":"PW","scienceBaseUri":"584bd0d9e4b077fc20250df2","chorus":{"doi":"10.1002/ecs2.1441","url":"http://dx.doi.org/10.1002/ecs2.1441","publisher":"Wiley-Blackwell","authors":"Earl Julia E., Fuhlendorf Samuel D., Haukos David, Tanner Ashley M., Elmore Dwayne, Carleton Scott A.","journalName":"Ecosphere","publicationDate":"8/2016"},"contributors":{"authors":[{"text":"Earl, Julia E.","contributorId":177320,"corporation":false,"usgs":false,"family":"Earl","given":"Julia","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuhlendorf, Samuel D.","contributorId":171488,"corporation":false,"usgs":false,"family":"Fuhlendorf","given":"Samuel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":655332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":655324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tanner, Ashley M.","contributorId":177321,"corporation":false,"usgs":false,"family":"Tanner","given":"Ashley","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elmore, Dwayne","contributorId":177322,"corporation":false,"usgs":false,"family":"Elmore","given":"Dwayne","email":"","affiliations":[],"preferred":false,"id":655334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":655335,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176300,"text":"70176300 - 2016 - Marsh canopy structure changes and the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2016-12-09T14:43:58","indexId":"70176300","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Marsh canopy structure changes and the Deepwater Horizon oil spill","docAbstract":"Marsh canopy structure was mapped yearly from 2009 to 2012 in the Barataria Bay, Louisiana coastal region that was impacted by the 2010 Deepwater Horizon (DWH) oil spill. Based on the previously demonstrated capability of NASA's UAVSAR polarimetric synthetic aperture radar (PolSAR) image data to map Spartina alterniflora marsh canopy structure, structure maps combining the leaf area index (LAI) and leaf angle distribution (LAD, orientation) were constructed for yearly intervals that were directly relatable to the 2010 LAI-LAD classification. The yearly LAI-LAD and LAI difference maps were used to investigate causes for the previously revealed dramatic change in marsh structure from prespill (2009) to postspill (2010, spill cessation), and the occurrence of structure features that exhibited abnormal spatial and temporal patterns. Water level and salinity records showed that freshwater releases used to keep the oil offshore did not cause the rapid growth from 2009 to 2010 in marsh surrounding the inner Bay. Photointerpretation of optical image data determined that interior marsh patches exhibiting rapid change were caused by burns and burn recovery, and that the pattern of 2010 to 2011 LAI decreases in backshore marsh and extending along some tidal channels into the interior marsh were not associated with burns. Instead, the majority of 2010 to 2011 shoreline features aligned with vectors displaying the severity of 2010 shoreline oiling from the DWH spill. Although the association is not conclusive of a causal oil impact, the coexistent pattern is a significant discovery. PolSAR marsh structure mapping provided a unique perspective of marsh biophysical status that enhanced detection of change and monitoring of trends important to management effectiveness.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.08.001","usgsCitation":"Ramsey, E.W., Rangoonwala, A., and Jones, C.E., 2016, Marsh canopy structure changes and the Deepwater Horizon oil spill: Remote Sensing of Environment, v. 186, p. 350-357, https://doi.org/10.1016/j.rse.2016.08.001.","productDescription":"8 p.","startPage":"350","endPage":"357","ipdsId":"IP-065814","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.9454116821289,\n 29.420460341013133\n ],\n [\n -89.9454116821289,\n 29.513421462044942\n ],\n [\n -89.81494903564453,\n 29.513421462044942\n ],\n [\n -89.81494903564453,\n 29.420460341013133\n ],\n [\n -89.9454116821289,\n 29.420460341013133\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"186","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dbe4b077fc20250dfc","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796 ramseye@usgs.gov","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":2883,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah","suffix":"III","email":"ramseye@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":648252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":648253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Cathleen E.","contributorId":11890,"corporation":false,"usgs":true,"family":"Jones","given":"Cathleen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":648254,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178870,"text":"70178870 - 2016 - Lesser prairie-chicken avoidance of trees in a grassland landscape","interactions":[],"lastModifiedDate":"2016-12-29T09:44:31","indexId":"70178870","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Lesser prairie-chicken avoidance of trees in a grassland landscape","docAbstract":"Grasslands are among the most imperiled ecosystems in North America. Reasons that grasslands are threatened include conversion to row-crop agriculture, fragmentation, and changes in fire regimes. The reduction of fire processes in remaining prairies has resulted in tree encroachment and establishment in grasslands, further reducing grassland quantity and quality. Grassland birds have been experiencing precipitous population declines in recent decades, commensurate with landscape changes to grasslands. The lesser prairie-chicken (Tympanuchus pallidicinctus Ridgway) is a declining species of prairie grouse of conservation concern. We used second- and third-order habitat selection metrics to test if female lesser prairie-chickens avoid grasslands where trees were present. Our results indicated that female lesser prairie-chickens selected habitats avoiding the nearest trees by 283 m on average, nearly twice as far as would be expected at random. Lesser prairie-chickens were 40 times more likely to use habitats with tree densities of 0 trees ∙ ha− 1 than habitats with 5 trees ∙ ha− 1. Probability of use indicated that lesser prairie-chickens were 19 times more likely to use habitats 1000 m from the nearest tree when compared with using habitats 0 m from the nearest tree. Nest survival was not affected at densities < 2 trees ∙ ha− 1; however, we could not test if nest survival was affected at greater tree densities as no nests were detected at densities > 2 trees ∙ ha− 1. Avoidance of trees could be due to perceived increased predation risk, reduced habitat quality, or a combination of these potentially confounding factors. Preventing further establishment and expansion of trees in landscapes occupied by lesser prairie-chickens could contribute to the continued persistence of the species. Additionally, restoring grasslands through tree removal may facilitate conservation efforts for grassland species such as the lesser prairie-chicken by improving habitat quality and promoting expansion of occupied range.
","language":"English","publisher":"Society for Range Management","publisherLocation":"Lakewood, CO","doi":"10.1016/j.rama.2016.07.008","usgsCitation":"Lautenbach, J.M., Plumb, R.T., Robinson, S.G., Hagen, C.A., Haukos, D.A., and Pitman, J.C., 2016, Lesser prairie-chicken avoidance of trees in a grassland landscape: Rangeland Ecology and Management, v. 70, no. 1, p. 78-86, https://doi.org/10.1016/j.rama.2016.07.008.","productDescription":"9 p.","startPage":"78","endPage":"86","ipdsId":"IP-070907","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470332,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2016.07.008","text":"Publisher Index Page"},{"id":331820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.45373535156249,\n 37.020098201368114\n ],\n [\n -99.45373535156249,\n 38.59540719940386\n ],\n [\n -97.93212890625,\n 38.59540719940386\n ],\n [\n -97.93212890625,\n 37.020098201368114\n ],\n [\n -99.45373535156249,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"70","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0d8e4b077fc20250dee","contributors":{"authors":[{"text":"Lautenbach, Joseph M.","contributorId":172788,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":655392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":655393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagen, Christian A.","contributorId":107574,"corporation":false,"usgs":true,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":655387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitman, James C.","contributorId":40529,"corporation":false,"usgs":true,"family":"Pitman","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":655395,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178705,"text":"sir20165125 - 2016 - Performance evaluation testing of wells in the gradient control system at a federally operated Confined Disposal Facility using single well aquifer tests, East Chicago, Indiana","interactions":[],"lastModifiedDate":"2016-12-08T08:14:53","indexId":"sir20165125","displayToPublicDate":"2016-12-08T08:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5125","title":"Performance evaluation testing of wells in the gradient control system at a federally operated Confined Disposal Facility using single well aquifer tests, East Chicago, Indiana","docAbstract":"The U.S. Geological Survey (USGS) performed tests to evaluate the hydrologic connection between the open interval of the well and the surrounding Calumet aquifer in response to fouling of extraction well pumps onsite. Two rounds of air slug testing were performed on seven monitoring wells and step drawdown and subsequent recovery tests on three extraction wells on a U.S. Army Corps of Engineers Confined Disposal Facility (CDF) in East Chicago, Indiana. The wells were tested in 2014 and again in 2015. The extraction and monitoring wells are part of the gradient control system that establishes an inward gradient around the perimeter of the facility. The testing established a set of protocols that site personnel can use to evaluate onsite well integrity and develop a maintenance procedure to evaluate future well performance.
The results of the slug test analysis data indicate that the hydraulic connection of the well screen to the surrounding aquifer material in monitoring wells on the CDF and the reliability of hydraulic conductivity estimates of the surrounding geologic media could be increased by implementing well development maintenance. Repeated air slug tests showed increasing hydraulic conductivity until, in the case of the monitoring wells located outside of the groundwater cutoff wall (MW–4B, MW–11B, MW–14B), the difference in hydraulic conductivity from test to test decreased, indicating the results were approaching the optimal hydraulic connection between the aquifer and the well screen. Hydraulic conductivity values derived from successive tests in monitoring well D40, approximately 0.25 mile south of the CDF, were substantially higher than those derived from wells on the CDF property. Also, values did not vary from test to test like those measured in monitoring wells located on the CDF property, which indicated that a process may be affecting the connectivity of the wells on the CDF property to the Calumet aquifer. Derived hydraulic conductivity values from the initial air slug test during the 2015 testing period for MW–11A and MW–14A are an order of magnitude less than those derived from the final test during the 2014 testing period indicating the development of a low conductivity skin between the final test of the 2014 testing period and the beginning of the 2015 testing period that created a decrease in the connection of the monitoring well screen to the surrounding aquifer material.
Repeated step drawdown and recovery testing of the extraction wells tested during this study provided results that indicate a slight increase in the development of a skin and a decrease in the connectivity of the extraction wells with the Calumet aquifer. Hydraulic conductivity values obtained from the test results were relatively similar in EW–4B and EW–14A but were substantially lower for EW–11C. This difference may be due to the presence of finer grained silt deposits in the area surrounding well nest 11. Skin factors calculated during the step drawdown and recovery analysis were lowest in EW–11C and relatively similar in EW–4B and EW–14A. Calculated skin factors increased slightly in the analysis of data collected in 2015 from that collected in 2014.
Comparisons of the specific-capacity values calculated from well development data collected following extraction well installation to those calculated during the single well aquifer tests at EW–4B, EW–14A and EW–11C indicate that the productivity of extraction wells on the CDF property has diminished since 2008. Values calculated for monitoring wells MW–4A, MW–11A, and MW–14A were used to evaluate the decrease in air slug derived hydraulic conductivity for monitoring wells within the groundwater cutoff wall between testing in 2014 and 2015.
Results from testing by this study indicate that implementation of an air slug testing regimen of the monitoring wells that control the gradient control system at the CDF throughout the course of a year may help sustain the connectivity between the monitoring wells and the surrounding aquifer and provide data to evaluate the need for different types of well development approaches to address chemical or biological fouling issues. Repeated step drawdown and recovery testing of the extraction wells tested during this study provided results that indicate a slight increase in the development of a skin and a decrease in the connectivity of the extraction wells with the Calumet aquifer. Implementation of a specific capacity testing regimen can provide data to record and track well condition through time for individual extraction wells. Results from aquifer testing by this study indicate that specific capacity test results, when paired with recovery testing, provide useful data to measure the development of any low conductivity wellbore skin through the skin factors derived for the individual extraction wells. An initial annual schedule of specific capacity and recovery tests would provide sufficient data to identify substantial short-term changes in the operating condition of the extraction wells.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165125","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Lampe, D.C., and Unthank, M.D., 2016, Performance evaluation testing of wells in the gradient control system at a federally operated Confined Disposal Facility using single well aquifer tests, East Chicago, Indiana: U.S. Geological Survey Scientific Investigations Report 2016–5125, 50 p., https://doi.org/10.3133/sir20165125.","productDescription":"Report: viii, 50 p.; Appendixes 1-2","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067101","costCenters":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":331511,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5125/coverthb.jpg"},{"id":331514,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5125/sir20165125_appendix2-aq-test.zip","text":"Appendix 2","size":"8.82 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Aquifer Test Field Log Sheets and Graphs of Aquifer-Test Data with Fitted Analytical-Solution Lines"},{"id":331512,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5125/sir20165125.pdf","text":"Report","size":"2.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5125"},{"id":331513,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5125/sir20165125_appendix1-slug-tests.zip","text":"Appendix 1 ","size":"8.46 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Air Slug Test Field Log Sheets and Graphs of Air Slug Test Data with Fitted Analytical-Solution Lines"}],"country":"United States","state":"Indiana","city":"East Chicago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.533333,\n 41.716667\n ],\n [\n -87.533333,\n 41.583333\n ],\n [\n -87.366667,\n 41.583333\n ],\n [\n -87.366667,\n 41.716667\n ],\n [\n -87.533333,\n 41.716667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana-Kentucky Water Science Center
5957 Lakeside Boulevard
Indianapolis IN 46278
http://in.water.usgs.gov
Martian atmospheric pressure has important implications for the past and present habitability of the planet, including the timing and causes of environmental change. The ancient Martian surface is strewn with evidence for early water bound in minerals (e.g., Ehlmann and Edwards, 2014) and recorded in surface features such as large catastrophically created outflow channels (e.g., Carr, 1979), valley networks (Hynek et al., 2010; Irwin et al., 2005), and crater lakes (e.g., Fassett and Head, 2008). Using orbital spectral data sets coupled with geologic maps and a set of numerical spectral analysis models, Edwards and Ehlmann (2015) constrained the amount of atmospheric sequestration in early Martian rocks and found that the majority of this sequestration occurred prior to the formation of the early Hesperian/late Noachian valley networks (Fassett and Head, 2011; Hynek et al., 2010), thus implying the atmosphere was already thin by the time these surface-water-related features were formed.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G37984Y.1","usgsCitation":"Edwards, C., and Ehlmann, B.L., 2016, Response comment: Carbon sequestration on Mars: Geology, v. 44, no. 6, e389; 1 p., https://doi.org/10.1130/G37984Y.1.","productDescription":"e389; 1 p.","ipdsId":"IP-075232","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":462001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g37984y.1","text":"Publisher Index Page"},{"id":331672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"44","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-23","publicationStatus":"PW","scienceBaseUri":"584a7f7de4b07e29c706dd35","contributors":{"authors":[{"text":"Edwards, Christopher cedwards@usgs.gov","contributorId":147768,"corporation":false,"usgs":true,"family":"Edwards","given":"Christopher","email":"cedwards@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":655155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ehlmann, Bethany L. 0000-0002-2745-3240","orcid":"https://orcid.org/0000-0002-2745-3240","contributorId":147154,"corporation":false,"usgs":false,"family":"Ehlmann","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":655156,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178824,"text":"70178824 - 2016 - Predictors of current and longer-term patterns of abundance of American pikas (Ochotona princeps) across a leading-edge protected area","interactions":[],"lastModifiedDate":"2016-12-08T14:23:47","indexId":"70178824","displayToPublicDate":"2016-12-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Predictors of current and longer-term patterns of abundance of American pikas (Ochotona princeps) across a leading-edge protected area","docAbstract":"American pikas (Ochotona princeps) have been heralded as indicators of montane-mammal response to contemporary climate change. Pikas no longer occupy the driest and lowest-elevation sites in numerous parts of their geographic range. Conversely, pikas have exhibited higher rates of occupancy and persistence in Rocky Mountain and Sierra Nevada montane ‘mainlands’. Research and monitoring efforts on pikas across the western USA have collectively shown the nuance and complexity with which climate will often act on species in diverse topographic and climatic contexts. However, to date no studies have investigated habitat, distribution, and abundance of pikas across hundreds of sites within a remote wilderness area. Additionally, relatively little is known about whether climate acts most strongly on pikas through direct or indirect (e.g., vegetation-mediated) mechanisms. During 2007–2009, we collectively hiked >16,000 km throughout the 410,077-ha Glacier National Park, Montana, USA, in an effort to identify topographic, microrefugial, and vegetative characteristics predictive of pika abundance. We identified 411 apparently pika-suitable habitat patches with binoculars (in situ), and surveyed 314 of them for pika signs. Ranking of alternative logistic-regression models based on AICc scores revealed that short-term pika abundances were positively associated with intermediate elevations, greater cover of mosses, and taller forbs, and decreased each year, for a total decline of 68% during the three-year study; whereas longer-term abundances were associated only with static variables (longitude, elevation, gradient) and were lower on north-facing slopes. Earlier Julian date and time of day of the survey (i.e., midday vs. not) were associated with lower observed pika abundance. We recommend that wildlife monitoring account for this seasonal and diel variation when surveying pikas. Broad-scale information on status and abundance determinants of montane mammals, especially for remote protected areas, is crucial for land and wildlife-resource managers trying to anticipate mammalian responses to climate change.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0167051","usgsCitation":"Moyer-Horner, L., Beever, E.A., Johnson, D.H., Beil, M., and Belt, J., 2016, Predictors of current and longer-term patterns of abundance of American pikas (Ochotona princeps) across a leading-edge protected area: PLoS ONE, v. 11, no. 11, e0167051; 25 p., https://doi.org/10.1371/journal.pone.0167051.","productDescription":"e0167051; 25 p.","ipdsId":"IP-076253","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470336,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0167051","text":"Publisher Index Page"},{"id":331727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","volume":"11","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-30","publicationStatus":"PW","scienceBaseUri":"584a7f78e4b07e29c706dd27","contributors":{"authors":[{"text":"Moyer-Horner, Lucas","contributorId":174453,"corporation":false,"usgs":false,"family":"Moyer-Horner","given":"Lucas","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":655274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":655275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":655276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beil, Mark","contributorId":177313,"corporation":false,"usgs":false,"family":"Beil","given":"Mark","email":"","affiliations":[],"preferred":false,"id":655277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belt, Jami","contributorId":177314,"corporation":false,"usgs":false,"family":"Belt","given":"Jami","affiliations":[],"preferred":false,"id":655278,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178822,"text":"70178822 - 2016 - Transformations to granular zircon revealed: Twinning, reidite, and ZrO2 in shocked zircon from Meteor Crater (Arizona, USA)","interactions":[],"lastModifiedDate":"2019-02-18T09:59:17","indexId":"70178822","displayToPublicDate":"2016-12-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Transformations to granular zircon revealed: Twinning, reidite, and ZrO2 in shocked zircon from Meteor Crater (Arizona, USA)","docAbstract":"Granular zircon in impact environments has long been recognized but remains poorly understood due to lack of experimental data to identify mechanisms involved in its genesis. Meteor Crater in Arizona (United States) contains abundant evidence of shock metamorphism, including shocked quartz, the high pressure polymorphs coesite and stishovite, diaplectic SiO2 glass, and lechatelierite (fused SiO2). Here we report the presence of granular zircon, a new shocked mineral discovery at Meteor Crater, that preserve critical orientation evidence of specific transformations that occurred during its formation at extreme impact conditions. The zircon grains occur as aggregates of sub-µm neoblasts in highly shocked Coconino Formation Sandstone (CFS) comprised of lechatelierite. Electron backscatter diffraction shows that each grain consists of multiple domains, some with boundaries disoriented by 65°<110>, a known {112} shock-twin orientation. Other domains have crystallographic c-axes in alignment with {110} of neighboring domains, consistent with the former presence of the high pressure ZrSiO4 polymorph reidite. Additionally, nearly all zircon preserve ZrO2 + SiO2, providing evidence of partial dissociation. The genesis of CFS granular zircon started with detrital zircon that experienced shock-twinning and reidite formation from 20 to 30 GPa, ultimately yielding a phase that retained crystallographic memory; this phase subsequently recrystallized to systematically oriented zircon neoblasts, and in some areas partially dissociated to ZrO2. The lechatelierite matrix, experimentally constrained to form at >2000 °C, provided an ultra high-temperature environment for zircon dissociation (~1670 °C) and neoblast formation. The capacity of granular zircon to preserve a cumulative P-T record has not been recognized previously, and provides a new method for retrieving histories of impact-related mineral transformations in the crust at conditions far beyond which most rocks melt.","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G38043.1","usgsCitation":"Cavosie, A., Timms, N.E., Erickson, T.M., Hagerty, J., and Horz, F., 2016, Transformations to granular zircon revealed: Twinning, reidite, and ZrO2 in shocked zircon from Meteor Crater (Arizona, USA): Geology, v. 44, no. 9, p. 703-706, https://doi.org/10.1130/G38043.1.","productDescription":"4 p.","startPage":"703","endPage":"706","ipdsId":"IP-072767","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":470338,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g38043.1","text":"Publisher Index Page"},{"id":331697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Meteor Crater","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.015,\n 35.033333\n ],\n [\n -111.015,\n 35.021667\n ],\n [\n -111.03,\n 35.021667\n ],\n [\n -111.03,\n 35.033333\n ],\n [\n -111.015,\n 35.033333\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"584a7f78e4b07e29c706dd29","contributors":{"authors":[{"text":"Cavosie, Aaron","contributorId":177307,"corporation":false,"usgs":false,"family":"Cavosie","given":"Aaron","affiliations":[],"preferred":false,"id":655261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Timms, Nicholas E.","contributorId":177308,"corporation":false,"usgs":false,"family":"Timms","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Timmons M.","contributorId":177309,"corporation":false,"usgs":false,"family":"Erickson","given":"Timmons","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":655260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horz, Friedrich","contributorId":177310,"corporation":false,"usgs":false,"family":"Horz","given":"Friedrich","email":"","affiliations":[],"preferred":false,"id":655264,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178821,"text":"70178821 - 2016 - Detecting seasonal landslide movement within the Cascade landslide complex (Washington) using time-series SAR imagery","interactions":[],"lastModifiedDate":"2016-12-08T13:19:54","indexId":"70178821","displayToPublicDate":"2016-12-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Detecting seasonal landslide movement within the Cascade landslide complex (Washington) using time-series SAR imagery","docAbstract":"Detection of slow or limited landslide movement within broad areas of forested terrain has long been problematic, particularly for the Cascade landslide complex (Washington) located along the Columbia River Gorge. Although parts of the landslide complex have been found reactivated in recent years, the timing and magnitude of motion have not been systematically monitored or interpreted. Here we apply novel time-series strategies to study the spatial distribution and temporal behavior of the landslide movement between 2007 and 2011 using InSAR images from two overlapping L-band ALOS PALSAR-1 satellite tracks. Our results show that the reactivated part has moved approximately 700 mm downslope during the 4-year observation period, while other parts of the landslide complex have generally remained stable. However, we also detect about 300 mm of seasonal downslope creep in a terrain block upslope of the Cascade landslide complex—terrain previously thought to be stable. The temporal oscillation of the seasonal movement can be correlated with precipitation, implying that seasonal movement here is hydrology-driven. The seasonal movement also has a frequency similar to GPS-derived regional ground oscillations due to mass loading by stored rainfall and subsequent rebound but with much smaller magnitude, suggesting different hydrological loading effects. From the time-series amplitude information on terrain upslope of the headscarp, we also re-evaluate the incipient motion related to the 2008 Greenleaf Basin rock avalanche, not previously recognized by traditional SAR/InSAR methods. The approach used in this study can be used to identify active landslides in forested terrain, to track the seasonal movement of landslides, and to identify previously unknown landslide hazards.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.rse.2016.10.006","usgsCitation":"Hu, X., Wang, T., Pierson, T.C., Lu, Z., Kim, J., and Cecere, T., 2016, Detecting seasonal landslide movement within the Cascade landslide complex (Washington) using time-series SAR imagery: Remote Sensing of Environment, v. 187, p. 49-61, https://doi.org/10.1016/j.rse.2016.10.006.","productDescription":"13 p.","startPage":"49","endPage":"61","ipdsId":"IP-076124","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.10.006","text":"Publisher Index Page"},{"id":331704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cascade Landslide Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122,\n 45.733333\n ],\n [\n -122,\n 45.633333\n ],\n [\n -121.85,\n 45.633333\n ],\n [\n -121.85,\n 45.733333\n ],\n [\n -122,\n 45.733333\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"187","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584a7f79e4b07e29c706dd2b","chorus":{"doi":"10.1016/j.rse.2016.10.006","url":"http://dx.doi.org/10.1016/j.rse.2016.10.006","publisher":"Elsevier BV","authors":"Hu Xie, Wang Teng, Pierson Thomas C., Lu Zhong, Kim Jinwoo, Cecere Thomas H.","journalName":"Remote Sensing of Environment","publicationDate":"12/2016"},"contributors":{"authors":[{"text":"Hu, Xie","contributorId":177306,"corporation":false,"usgs":false,"family":"Hu","given":"Xie","email":"","affiliations":[],"preferred":false,"id":655265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Teng","contributorId":156235,"corporation":false,"usgs":false,"family":"Wang","given":"Teng","email":"","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":655266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierson, Thomas C. 0000-0001-9002-4273 tpierson@usgs.gov","orcid":"https://orcid.org/0000-0001-9002-4273","contributorId":2498,"corporation":false,"usgs":true,"family":"Pierson","given":"Thomas","email":"tpierson@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":655267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":655268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kim, Jin-Woo","contributorId":69486,"corporation":false,"usgs":true,"family":"Kim","given":"Jin-Woo","affiliations":[],"preferred":false,"id":655269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cecere, Thomas H.","contributorId":177312,"corporation":false,"usgs":false,"family":"Cecere","given":"Thomas H.","affiliations":[],"preferred":false,"id":655270,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}