{"pageNumber":"1193","pageRowStart":"29800","pageSize":"25","recordCount":184858,"records":[{"id":70160008,"text":"70160008 - 2015 - Surprise and opportunity for learning in Grand Canyon: the Glen Canyon Dam Adaptive Management Program","interactions":[],"lastModifiedDate":"2015-12-08T12:25:42","indexId":"70160008","displayToPublicDate":"2015-12-08T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Surprise and opportunity for learning in Grand Canyon: the Glen Canyon Dam Adaptive Management Program","docAbstract":"

With a focus on resources of the Colorado River ecosystem below Glen Canyon Dam, the Glen Canyon Dam Adaptive Management Program has included a variety of experimental policy tests, ranging from manipulation of water releases from the dam to removal of non-native fish within Grand Canyon National Park. None of these field-scale experiments has yet produced unambiguous results in terms of management prescriptions. But there has been adaptive learning, mostly from unanticipated or surprising resource responses relative to predictions from ecosystem modeling. Surprise learning opportunities may often be viewed with dismay by some stakeholders who might not be clear about the purpose of science and modeling in adaptive management. However, the experimental results from the Glen Canyon Dam program actually represent scientific successes in terms of revealing new opportunities for developing better river management policies. A new long-term experimental management planning process for Glen Canyon Dam operations, started in 2011 by the U.S. Department of the Interior, provides an opportunity to refocus management objectives, identify and evaluate key uncertainties about the influence of dam releases, and refine monitoring for learning over the next several decades. Adaptive learning since 1995 is critical input to this long-term planning effort. Embracing uncertainty and surprise outcomes revealed by monitoring and ecosystem modeling will likely continue the advancement of resource objectives below the dam, and may also promote efficient learning in other complex programs.

","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ES-07621-200322","usgsCitation":"Melis, T., Walters, C., and Korman, J., 2015, Surprise and opportunity for learning in Grand Canyon: the Glen Canyon Dam Adaptive Management Program: Ecology and Society, v. 20, no. 3, Art22; 33 p., https://doi.org/10.5751/ES-07621-200322.","productDescription":"Art22; 33 p.","numberOfPages":"33","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022401","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":471572,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-07621-200322","text":"Publisher Index Page"},{"id":312037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, Utah","otherGeospatial":"Colorado River, Glen Canyon Dam, Grand Canyon National Park, Lake Mead","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.60937499999999,\n 35.33977430038646\n ],\n [\n -114.60937499999999,\n 37.37015718405753\n ],\n [\n -110.76416015625,\n 37.37015718405753\n ],\n [\n -110.76416015625,\n 35.33977430038646\n ],\n [\n -114.60937499999999,\n 35.33977430038646\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5667ff3ce4b06a3ea36c8e12","contributors":{"authors":[{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":581538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Carl","contributorId":66156,"corporation":false,"usgs":true,"family":"Walters","given":"Carl","affiliations":[],"preferred":false,"id":581539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korman, Josh","contributorId":29922,"corporation":false,"usgs":true,"family":"Korman","given":"Josh","affiliations":[],"preferred":false,"id":581540,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159406,"text":"sir20155153 - 2015 - Simulation of the effects of different inflows on hydrologic conditions in Lake Houston with a three-dimensional hydrodynamic model, Houston, Texas, 2009–10","interactions":[],"lastModifiedDate":"2020-05-19T18:00:59.387807","indexId":"sir20155153","displayToPublicDate":"2015-12-08T12:00:00","publicationYear":"2015","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":"2015-5153","title":"Simulation of the effects of different inflows on hydrologic conditions in Lake Houston with a three-dimensional hydrodynamic model, Houston, Texas, 2009–10","docAbstract":"

Lake Houston, an important water resource for the Houston, Texas, area, receives inflows from seven major tributaries that compose the San Jacinto River Basin upstream from the reservoir. The effects of different inflows from the watersheds drained by these tributaries on the residence time of water in Lake Houston and closely associated physical and chemical properties including lake elevation, salinity, and water temperature are not well known. Accordingly, the U.S. Geological Survey (USGS), in cooperation with the City of Houston, developed a three-dimensional hydrodynamic model of Lake Houston as a tool for evaluating the effects of different inflows on residence time of water in the lake and associated physical and chemical properties. The Environmental Fluid Dynamics Code (EFDC), a grid-based, surface-water modeling package for simulating three-dimensional circulation, mass transport, sediments, and biogeochemical processes, was used to develop the model of Lake Houston. The Lake Houston EFDC model was developed and calibrated by using 2009 data and verified by using 2010 data. Three statistics (mean error, root mean square error, and the Nash-Sutcliffe model efficiency coefficient) were used to evaluate how well the Lake Houston EFDC model simulated lake elevation, salinity, and water temperature. The residence time of water in reservoirs is associated with various physical and chemical properties (including lake elevation, salinity, and water temperature). Simulated and measured lake-elevation values were compared at USGS reservoir station 08072000 Lake Houston near Sheldon, Tex. The accuracy of simulated salinity and water temperature values was assessed by using the salinity (computed from measured specific conductance) and water temperature at two USGS monitoring stations: 295826095082200 Lake Houston south Union Pacific Railroad Bridge near Houston, Tex., and 295554095093401 Lake Houston at mouth of Jack’s Ditch near Houston, Tex. Specific conductance and water temperature were measured at as many as four different depths at each of the two monitoring stations during 2009 and then used for assessing the accuracy of simulated values of salinity and water temperature during 2010. The performance evaluation statistics indicate that the model performed satisfactorily. The calibrated model was used to simulate two possible inflow scenarios to evaluate the changes in the residence time of water in Lake Houston. The two scenarios tested were an increased inflow of approximately 300 cubic feet per second for 1 month (May 2010) from two watersheds: the West Fork San Jacinto River and Luce Bayou. These scenarios were chosen to mimic the effects of possible small releases or diversions of water from outside the San Jacinto River Basin into the basin (or directly into the lake) on the residence time of water in Lake Houston. During the time of increased inflow for the two scenarios tested, maximum residence time decreased slightly from approximately 106 to 97 days.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155153","collaboration":"Prepared in cooperation with the City of Houston","usgsCitation":"Rendon, S.H., and Lee, M.T., 2015, Simulation of the effects of different inflows on hydrologic conditions in Lake Houston with a three-dimensional hydrodynamic model, Houston, Texas, 2009–10: U.S. Geological Survey Scientific Investigations Report 2015–5153, 42 p., https://dx.doi.org/10.3133/sir20155153.","productDescription":"vi, 42 p.","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-060635","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":311980,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5153/sir20155153.pdf","text":"Report","size":"13.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5153"},{"id":311979,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5153/coverthb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Lake Houston","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.99578857421875,\n 29.90256760730233\n ],\n [\n -95.99578857421875,\n 30.62845887475364\n ],\n [\n -95.10040283203125,\n 30.62845887475364\n ],\n [\n -95.10040283203125,\n 29.90256760730233\n ],\n [\n -95.99578857421875,\n 29.90256760730233\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, Texas 78754–4501
http://tx.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2015-12-08","noUsgsAuthors":false,"publicationDate":"2015-12-08","publicationStatus":"PW","scienceBaseUri":"5667ff3be4b06a3ea36c8e10","contributors":{"authors":[{"text":"Rendon, Samuel H. 0000-0001-5589-0563 srendon@usgs.gov","orcid":"https://orcid.org/0000-0001-5589-0563","contributorId":3940,"corporation":false,"usgs":true,"family":"Rendon","given":"Samuel","email":"srendon@usgs.gov","middleInitial":"H.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Michael T. 0000-0002-8260-8794 mtlee@usgs.gov","orcid":"https://orcid.org/0000-0002-8260-8794","contributorId":4228,"corporation":false,"usgs":true,"family":"Lee","given":"Michael","email":"mtlee@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578430,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156941,"text":"sim3343 - 2015 - Geologic Cross Section I–I′ Through the Appalachian Basin from the Eastern Margin of the Illinois Basin, Jefferson County, Kentucky, to the Valley and Ridge Province, Scott County, Virginia","interactions":[],"lastModifiedDate":"2020-04-30T17:26:22.046198","indexId":"sim3343","displayToPublicDate":"2015-12-08T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3343","displayTitle":"Geologic Cross Section I–I′ Through the Appalachian Basin from the Eastern Margin of the Illinois Basin, Jefferson County, Kentucky, to the Valley and Ridge Province, Scott County, Virginia","title":"Geologic Cross Section I–I′ Through the Appalachian Basin from the Eastern Margin of the Illinois Basin, Jefferson County, Kentucky, to the Valley and Ridge Province, Scott County, Virginia","docAbstract":"

Geologic cross section I‒I’ is the fourth in a series of cross sections constructed by the U.S. Geological Survey to document and improve understanding of the geologic framework and petroleum systems of the Appalachian basin. Cross section I‒I’ provides a regional view of the structural and stratigraphic framework of the Appalachian basin from the eastern margin of the Illinois basin in central Kentucky, across the Cincinnati arch (Lexington dome), to the Valley and Ridge province in southwestern Virginia, a distance of approximately 280 miles. This cross section is a companion to cross sections E‒E’, D‒D’, and C‒C’ that are located about 200 to 300 miles to the northeast. Cross section I‒I’ either updates or complements earlier geologic cross sections through the central Kentucky and southwestern Virginia part of the Appalachian basin. Although other published cross sections through parts of the basin show more structural and stratigraphic detail, these other cross sections are of more limited extent geographically and (or) stratigraphically.

\n

Cross section I‒I ’ contains much information that is useful for evaluating energy resources in the Appalachian basin. Many of the key elements of the Appalachian basin petroleum systems (such as source rocks, reservoir rocks, seals, and traps) can be inferred from lithologic units, unconformities, and geologic structures shown on the cross section. Other aspects of petroleum systems (such as the timing of petroleum generation and petroleum migration pathways) may be evaluated by burial history, thermal history, and fluid flow models on the basis of what is shown on the cross section. Cross section I‒I’ also provides a stratigraphic and structural framework for the Pennsylvanian coal-bearing section. In addition, geologists and engineers could use cross section I‒I’ as a reconnaissance tool to identify plausible geologic structures and strata for the subsurface storage of liquid waste or for the sequestration of carbon dioxide.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3343","usgsCitation":"Ryder, R.T., Trippi, M.H., and Swezey, C.S., 2015, Geologic cross section I–I′ through the Appalachian basin from the eastern margin of the Illinois basin, Jefferson County, Kentucky, to the Valley and Ridge province, Scott County, Virginia: U.S. Geological Survey Scientific Investigations Map 3343, 2 sheets and pamphlet A, 41 p.; pamphlet B, 102 p., https://dx.doi.org/10.3133/sim3343.","productDescription":"Pamphlet A: iii, 41 p.; Pamphlet B: Appendix; 2 Sheets: 51.0 x 41.0 inches and 47.31 x 41.00 inches","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-021269","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":311693,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3343/sim3343_sheet2.pdf","text":"SIM 3343 - Sheet 2","size":"4.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3343"},{"id":311690,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3343/sim3343_sheet1.pdf","text":"SIM 3343 - Sheet 1","size":"3.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3343"},{"id":311770,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3343/sim3343_pamphletb.pdf","text":"SIM 3343 - Pamphlet B - Appendix","size":"1.24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3343"},{"id":311798,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3343/sim3343_pamphleta.pdf","text":"SIM 3343 - Pamphlet A","size":"575 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":311742,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3343/coverthb2.jpg"}],"country":"United States","state":"Kentucky, Pensylvania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-84.7965,37.97],[-84.8843,37.9401],[-84.8924,37.9437],[-84.8895,37.9464],[-84.8971,37.9474],[-84.9018,37.9375],[-84.9106,37.9416],[-84.9093,37.9493],[-84.9222,37.9475],[-84.9215,37.9529],[-84.9379,37.953],[-84.9731,37.9355],[-84.979,37.9156],[-85.0065,37.8985],[-85.0078,37.8912],[-85.0176,37.8954],[-85.0416,37.89],[-85.0509,37.8946],[-85.0684,37.886],[-85.0941,37.8879],[-85.1075,37.8934],[-85.1062,37.9093],[-85.1254,37.9157],[-85.1384,37.8917],[-85.1471,37.8908],[-85.1494,37.8972],[-85.1529,37.8976],[-85.1678,37.972],[-85.1688,37.9987],[-85.1618,38.0014],[-85.163,37.9915],[-85.1519,37.9883],[-85.1408,38.0027],[-85.1291,38],[-85.1232,38.0104],[-85.1261,38.0204],[-85.1202,38.0258],[-85.112,38.0258],[-85.102,38.0371],[-85.2327,38.0895],[-85.4239,38.1474],[-85.4292,38.1184],[-85.5572,38.074],[-85.7122,38.0874],[-85.8774,38.0417],[-85.9327,37.998],[-85.9485,38.0065],[-85.9398,38.0089],[-85.9224,38.0257],[-85.9028,38.0926],[-85.9044,38.1676],[-85.8829,38.198],[-85.8456,38.2267],[-85.8282,38.2743],[-85.8167,38.2821],[-85.7829,38.2887],[-85.7677,38.2827],[-85.7561,38.2713],[-85.7413,38.2693],[-85.692,38.2904],[-85.6735,38.3036],[-85.6498,38.3307],[-85.6385,38.354],[-85.6367,38.3794],[-85.5692,38.3418],[-85.5856,38.3395],[-85.5751,38.3341],[-85.561,38.3373],[-85.4677,38.2847],[-85.4613,38.2856],[-85.456,38.2911],[-85.4548,38.2997],[-85.4489,38.3042],[-85.446,38.2988],[-85.4272,38.2929],[-85.4267,38.3037],[-85.4167,38.3024],[-85.4102,38.2938],[-85.4091,38.3037],[-85.3932,38.3078],[-85.3516,38.3032],[-85.3246,38.31],[-85.2828,38.358],[-84.9567,38.3325],[-84.9987,38.2751],[-85.0076,38.1759],[-85.0048,38.1614],[-85.0201,38.1419],[-85.0237,38.1288],[-84.9921,38.1264],[-84.967,38.1195],[-84.9583,38.1099],[-84.9076,38.0934],[-84.8847,38.101],[-84.8729,38.1154],[-84.8647,38.1167],[-84.8645,38.1412],[-84.7252,38.1953],[-84.7229,38.1921],[-84.7318,38.1871],[-84.7212,38.1857],[-84.7102,38.1739],[-84.6908,38.1814],[-84.6873,38.1787],[-84.6892,38.1706],[-84.6757,38.17],[-84.6839,38.1755],[-84.6826,38.1818],[-84.6773,38.185],[-84.678,38.1791],[-84.6704,38.1759],[-84.6604,38.1794],[-84.6481,38.1771],[-84.6488,38.168],[-84.6552,38.1708],[-84.657,38.1681],[-84.6559,38.1608],[-84.6454,38.163],[-84.6413,38.1594],[-84.6519,38.1585],[-84.6519,38.1531],[-84.6479,38.1485],[-84.6391,38.1494],[-84.648,38.1358],[-84.641,38.1349],[-84.6335,38.124],[-84.6348,38.1208],[-84.6423,38.1267],[-84.6535,38.1209],[-84.65,38.1132],[-84.6248,38.1166],[-84.6206,38.1297],[-84.4018,38.2078],[-84.3777,38.2112],[-84.3586,38.1947],[-84.3554,38.1779],[-84.3738,38.1599],[-84.3698,38.1531],[-84.3678,38.1327],[-84.3804,38.1142],[-84.334,38.0861],[-84.3264,38.0847],[-84.3146,38.0932],[-84.3118,38.0882],[-84.2874,38.0757],[-84.2864,38.0671],[-84.0802,38.1152],[-84.06,38.134],[-84.05,38.137],[-83.9907,38.1748],[-83.9786,38.1924],[-83.9716,38.1918],[-83.9746,38.1579],[-83.9711,38.1596],[-83.9619,38.1536],[-83.9582,38.1617],[-83.9495,38.1557],[-83.9525,38.1526],[-83.9426,38.152],[-83.9374,38.147],[-83.8809,38.1363],[-83.8207,38.0811],[-83.8017,38.0414],[-83.7558,38.0049],[-83.7567,37.9927],[-83.7448,38.0002],[-83.7471,38.0043],[-83.7376,38.0101],[-83.7306,38.0104],[-83.7179,38.0034],[-83.7125,38.0093],[-83.6885,38.0121],[-83.66,38.0284],[-83.6519,38.0238],[-83.6332,38.0262],[-83.6137,38.0119],[-83.5774,38.0127],[-83.5731,38.0226],[-83.5776,38.0526],[-83.5751,38.0589],[-83.4836,38.047],[-83.4631,38.0494],[-83.465,38.0421],[-83.4788,38.0288],[-83.476,38.0255],[-83.4565,38.0329],[-83.4548,38.0302],[-83.4685,38.0218],[-83.464,38.0172],[-83.4511,38.0192],[-83.4496,38.031],[-83.4408,38.0304],[-83.4337,38.0344],[-83.431,38.047],[-83.4164,38.0477],[-83.409,38.0394],[-83.3985,38.0392],[-83.3954,38.0464],[-83.3661,38.0667],[-83.3491,38.0678],[-83.3376,38.0826],[-83.3374,38.088],[-83.3199,38.0886],[-83.2634,38.1156],[-83.2695,38.109],[-83.2697,38.1049],[-83.2673,38.1067],[-83.2605,38.0989],[-83.2705,38.0755],[-83.2681,38.0591],[-83.2497,38.0502],[-83.235,38.0526],[-83.2224,38.0438],[-83.2153,38.0282],[-83.197,38.0134],[-83.161,38.0086],[-83.1562,38.0108],[-83.1466,38.0002],[-83.1402,38],[-83.0702,38.015],[-83.0633,38.0121],[-83.055,37.9984],[-83.038,38.0003],[-83.0242,38.0095],[-83.0206,37.9959],[-83.0254,37.991],[-83.0222,37.9818],[-83.0093,37.968],[-82.996,37.9623],[-82.989,37.9639],[-82.9755,37.931],[-82.9615,37.9126],[-82.961,37.894],[-82.9663,37.8936],[-82.9696,37.8978],[-82.9877,37.8977],[-82.9829,37.8845],[-82.9844,37.875],[-83.0048,37.8591],[-82.9838,37.8419],[-82.9865,37.831],[-82.9842,37.8124],[-82.9504,37.7949],[-82.9484,37.7196],[-82.9409,37.7163],[-82.9274,37.7196],[-82.9084,37.7129],[-82.9006,37.7032],[-82.8804,37.7164],[-82.8671,37.731],[-82.8456,37.7297],[-82.7856,37.746],[-82.7665,37.742],[-82.7625,37.7559],[-82.752,37.7561],[-82.7383,37.7477],[-82.7237,37.7492],[-82.7204,37.7446],[-82.6846,37.7356],[-82.6872,37.7297],[-82.6843,37.7288],[-82.6467,37.7238],[-82.6223,37.7078],[-82.5762,37.6945],[-82.5648,37.6892],[-82.5638,37.6847],[-82.556,37.6913],[-82.4944,37.6898],[-82.4963,37.6848],[-82.4902,37.6783],[-82.4661,37.6832],[-82.4565,37.6761],[-82.459,37.6726],[-82.4557,37.6688],[-82.4179,37.6811],[-82.4093,37.679],[-82.4078,37.6731],[-82.3996,37.6738],[-82.3864,37.6979],[-82.3988,37.7082],[-82.4065,37.7048],[-82.4125,37.7127],[-82.3759,37.7398],[-82.3442,37.7454],[-82.3186,37.7351],[-82.3073,37.7095],[-82.2972,37.7039],[-82.3009,37.6941],[-82.2955,37.6865],[-82.3021,37.6783],[-82.2964,37.6793],[-82.2901,37.6708],[-82.2824,37.6776],[-82.2554,37.6591],[-82.2349,37.6618],[-82.2231,37.6542],[-82.215,37.641],[-82.2159,37.6326],[-82.2069,37.6256],[-82.1855,37.629],[-82.189,37.6465],[-82.1844,37.6507],[-82.1746,37.6501],[-82.1759,37.6398],[-82.1711,37.6311],[-82.177,37.6248],[-82.1739,37.6206],[-82.162,37.6195],[-82.1653,37.6092],[-82.1541,37.6088],[-82.1559,37.5954],[-82.1508,37.5925],[-82.1352,37.5965],[-82.125,37.5844],[-82.1255,37.5744],[-82.1419,37.5704],[-82.1299,37.5529],[-82.1206,37.5526],[-82.1132,37.5596],[-82.1052,37.5607],[-82.0986,37.554],[-82.0763,37.5567],[-82.0646,37.546],[-82.0631,37.54],[-82.0438,37.5309],[-82.041,37.5345],[-82.0432,37.5463],[-82.0389,37.5476],[-82.0319,37.5393],[-82.0167,37.5396],[-82.0121,37.535],[-81.9997,37.5423],[-81.9908,37.5404],[-81.9687,37.5478],[-81.9642,37.544],[-81.9673,37.5372],[-81.9588,37.5377],[-81.9526,37.532],[-81.9441,37.5316],[-81.9419,37.5153],[-81.9289,37.5188],[-81.9282,37.5141],[-81.9499,37.5018],[-81.9513,37.493],[-81.9663,37.4922],[-81.9882,37.4839],[-81.9938,37.4791],[-81.9953,37.4714],[-81.985,37.4566],[-81.937,37.4392],[-81.935,37.42],[-81.9242,37.4084],[-81.9292,37.4042],[-81.9338,37.3817],[-81.9273,37.3621],[-81.8963,37.333],[-81.8792,37.3303],[-81.8656,37.3188],[-81.8648,37.3085],[-81.8548,37.3037],[-81.8514,37.2881],[-81.8262,37.2784],[-81.798,37.2835],[-81.7598,37.2737],[-81.7458,37.2577],[-81.7411,37.2401],[-81.7442,37.2242],[-81.7561,37.2176],[-81.7586,37.2044],[-81.7626,37.2016],[-81.7736,37.2023],[-81.7888,37.1893],[-81.869,37.1678],[-81.8724,37.1646],[-81.8692,37.1551],[-81.8956,37.1505],[-81.904,37.1417],[-81.8962,37.1165],[-81.8511,37.0761],[-81.8174,37.0319],[-81.7783,36.96],[-81.8091,36.9499],[-81.8338,36.9295],[-81.7,36.7855],[-81.6176,36.6351],[-81.6052,36.6407],[-81.6108,36.6171],[-81.6279,36.6122],[-81.9233,36.6166],[-81.9352,36.595],[-82.1445,36.5955],[-82.1285,36.6123],[-82.1055,36.6287],[-82.1139,36.6384],[-82.1403,36.6374],[-82.1885,36.6227],[-82.2363,36.5976],[-82.9851,36.5941],[-82.9454,36.6787],[-82.8881,36.7067],[-82.8293,36.7278],[-82.8236,36.7351],[-82.8238,36.743],[-82.8292,36.7473],[-82.8052,36.7752],[-82.7963,36.7779],[-82.79,36.7752],[-82.7917,36.78],[-82.7866,36.7873],[-82.7679,36.7998],[-82.7684,36.81],[-82.7479,36.8304],[-82.7286,36.8291],[-82.7249,36.833],[-82.7227,36.8258],[-82.7064,36.8227],[-82.6988,36.8166],[-82.6584,36.8442],[-82.6505,36.8616],[-82.6345,36.8783],[-82.4038,36.8855],[-82.3992,36.8814],[-82.3692,36.8948],[-82.3542,36.8929],[-82.347,36.8999],[-82.339,36.9005],[-82.3307,36.8966],[-82.3257,36.9013],[-82.2988,36.9059],[-82.3278,36.9709],[-82.3455,36.9586],[-82.363,36.9561],[-82.3659,36.97],[-82.3723,36.9753],[-82.4042,36.9855],[-82.4676,37.0226],[-82.4885,37.0266],[-82.4921,37.0601],[-82.5426,37.1242],[-82.5523,37.2043],[-82.5664,37.1968],[-82.5735,37.2037],[-82.5884,37.2081],[-82.6014,37.2293],[-82.6285,37.2472],[-82.6466,37.2435],[-82.6721,37.2274],[-82.6824,37.2281],[-82.7002,37.2471],[-82.6999,37.2561],[-82.7233,37.2635],[-82.7323,37.2714],[-82.7244,37.2812],[-82.711,37.2836],[-82.7137,37.2887],[-82.727,37.2899],[-82.7276,37.3048],[-82.7534,37.3095],[-82.7479,37.3176],[-82.764,37.3528],[-82.7632,37.3605],[-82.7517,37.3716],[-82.7565,37.3849],[-82.7513,37.3997],[-82.7576,37.4026],[-82.7613,37.4099],[-82.756,37.4143],[-82.7625,37.4244],[-82.7753,37.4243],[-82.7821,37.4294],[-82.7938,37.4265],[-82.8111,37.4115],[-82.8302,37.4119],[-82.8348,37.4143],[-82.8313,37.4323],[-82.8252,37.4385],[-82.8317,37.4668],[-82.9276,37.4807],[-82.9256,37.4865],[-82.9289,37.4911],[-82.9341,37.4939],[-82.9406,37.4896],[-82.9482,37.5033],[-82.9751,37.498],[-82.9853,37.5064],[-83.0017,37.5017],[-83.0142,37.5083],[-83.0328,37.5078],[-83.0468,37.5257],[-83.0624,37.5261],[-83.0731,37.5181],[-83.0886,37.5225],[-83.094,37.5185],[-83.0923,37.499],[-83.1348,37.4572],[-83.1249,37.4058],[-83.1965,37.4126],[-83.2147,37.4438],[-83.27,37.399],[-83.3004,37.3878],[-83.3112,37.3775],[-83.3331,37.3797],[-83.3575,37.3584],[-83.3644,37.3599],[-83.3669,37.3518],[-83.3899,37.3372],[-83.4055,37.3388],[-83.4173,37.354],[-83.4243,37.3523],[-83.4321,37.3629],[-83.4463,37.3708],[-83.449,37.3786],[-83.4636,37.3738],[-83.4774,37.3777],[-83.4851,37.3715],[-83.4872,37.3588],[-83.4995,37.3522],[-83.5045,37.3419],[-83.5162,37.3371],[-83.5201,37.3394],[-83.5372,37.3302],[-83.5481,37.3349],[-83.5428,37.3371],[-83.542,37.3465],[-83.5343,37.3532],[-83.54,37.356],[-83.5488,37.3721],[-83.5498,37.3784],[-83.5444,37.3851],[-83.5494,37.3938],[-83.5417,37.3987],[-83.5403,37.4114],[-83.5343,37.4176],[-83.5412,37.4186],[-83.5546,37.4383],[-83.5497,37.4492],[-83.5552,37.4606],[-83.5481,37.4641],[-83.5631,37.4702],[-83.5693,37.4776],[-83.5707,37.4889],[-83.5804,37.4963],[-83.5762,37.5004],[-83.579,37.5058],[-83.5622,37.5486],[-83.5226,37.6382],[-83.6166,37.6669],[-83.6286,37.6789],[-83.7079,37.7164],[-83.6313,37.8254],[-83.6429,37.8255],[-83.6474,37.8333],[-83.6573,37.8321],[-83.6637,37.8354],[-83.6612,37.8381],[-83.6663,37.8454],[-83.6757,37.8442],[-83.6673,37.8522],[-83.6737,37.8523],[-83.756,37.8997],[-83.7587,37.9061],[-83.7562,37.9142],[-83.769,37.9185],[-83.7861,37.907],[-83.8125,37.9033],[-83.8619,37.908],[-83.8748,37.9059],[-83.8857,37.916],[-83.9084,37.9168],[-83.9594,37.9338],[-83.9741,37.9303],[-83.9859,37.925],[-83.9919,37.9178],[-83.9936,37.892],[-83.9983,37.8875],[-84.001,37.8708],[-84.0082,37.8614],[-84.0128,37.861],[-84.0202,37.8697],[-84.0278,37.8698],[-84.0217,37.857],[-84.0022,37.8377],[-84.0146,37.832],[-84.018,37.8343],[-84.0132,37.8406],[-84.0178,37.8452],[-84.0291,37.8358],[-84.0367,37.8345],[-84.0533,37.8492],[-84.0568,37.8484],[-84.0647,37.8299],[-84.0637,37.824],[-84.073,37.8232],[-84.0778,37.8495],[-84.0927,37.8615],[-84.1121,37.8503],[-84.1276,37.8664],[-84.1491,37.8666],[-84.1656,37.8614],[-84.1718,37.8746],[-84.1845,37.8788],[-84.2068,37.87],[-84.2185,37.8701],[-84.2299,37.8847],[-84.2368,37.8871],[-84.2515,37.8836],[-84.2627,37.876],[-84.2655,37.8833],[-84.2612,37.8946],[-84.2703,37.9069],[-84.2684,37.9155],[-84.2719,37.9173],[-84.299,37.9045],[-84.3353,37.8944],[-84.3389,37.884],[-84.3442,37.8813],[-84.3656,37.8974],[-84.3801,37.9007],[-84.3837,37.8944],[-84.3661,37.8629],[-84.368,37.8548],[-84.3903,37.8455],[-84.4097,37.8706],[-84.4167,37.872],[-84.4286,37.8535],[-84.4439,37.841],[-84.4614,37.8425],[-84.4764,37.853],[-84.4853,37.8422],[-84.4842,37.8368],[-84.4625,37.8026],[-84.4679,37.7959],[-84.4771,37.8027],[-84.4824,37.8019],[-84.4954,37.7857],[-84.52,37.7791],[-84.5259,37.7696],[-84.5376,37.7688],[-84.5395,37.7547],[-84.557,37.7481],[-84.5718,37.7287],[-84.5869,37.7352],[-84.5897,37.7411],[-84.5849,37.751],[-84.5907,37.7542],[-84.5983,37.7529],[-84.6054,37.743],[-84.6164,37.7467],[-84.6041,37.7575],[-84.6092,37.7643],[-84.6266,37.7744],[-84.6371,37.7731],[-84.6428,37.7786],[-84.6421,37.7922],[-84.6269,37.7971],[-84.6106,37.7915],[-84.6077,37.7947],[-84.6094,37.8006],[-84.6588,37.81],[-84.66,37.8059],[-84.6497,37.7896],[-84.6567,37.7837],[-84.6655,37.7833],[-84.6742,37.787],[-84.6782,37.7938],[-84.6798,37.8029],[-84.6749,37.8224],[-84.6784,37.8292],[-84.6947,37.8284],[-84.707,37.8185],[-84.7199,37.8172],[-84.7245,37.8236],[-84.7208,37.8372],[-84.7126,37.8435],[-84.6904,37.8488],[-84.6915,37.8583],[-84.7206,37.8621],[-84.7609,37.8469],[-84.7737,37.8561],[-84.7712,37.866],[-84.7583,37.8727],[-84.7653,37.8814],[-84.7663,37.89],[-84.7821,37.8924],[-84.7738,37.9055],[-84.7825,37.9073],[-84.7902,37.8988],[-84.7926,37.8879],[-84.7967,37.887],[-84.8018,37.897],[-84.7947,37.9106],[-84.7958,37.916],[-84.8022,37.9188],[-84.8186,37.9116],[-84.8267,37.9162],[-84.8208,37.9271],[-84.7968,37.9346],[-84.8061,37.9437],[-84.8177,37.9447],[-84.82,37.9493],[-84.8176,37.9538],[-84.796,37.9645],[-84.7936,37.9672],[-84.7965,37.97]]]},\"properties\":{\"name\":\"Anderson\",\"state\":\"KY\"}}]}","contact":"

Eastern Energy Resources Science Center
U.S. Geological Survey
954 National Center
12201 Sunrise Valley Drive
Reston, Virginia 20192

http://energy.usgs.gov/GeneralInfo/
ScienceCenters/Eastern.aspx

\n

Or
Michael H. Trippi
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, Virginia 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2015-12-08","noUsgsAuthors":false,"publicationDate":"2015-12-08","publicationStatus":"PW","scienceBaseUri":"5667ff3ae4b06a3ea36c8e0c","contributors":{"authors":[{"text":"Ryder, Robert T.","contributorId":77918,"corporation":false,"usgs":true,"family":"Ryder","given":"Robert T.","affiliations":[],"preferred":false,"id":571203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trippi, Michael H. 0000-0002-1398-3427 mtrippi@usgs.gov","orcid":"https://orcid.org/0000-0002-1398-3427","contributorId":941,"corporation":false,"usgs":true,"family":"Trippi","given":"Michael","email":"mtrippi@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":571202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swezey, Christopher S. cswezey@usgs.gov","contributorId":147323,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher S.","email":"cswezey@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":571201,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160001,"text":"70160001 - 2015 - What role do hurricanes play in sediment delivery to subsiding river deltas?","interactions":[],"lastModifiedDate":"2016-07-17T23:40:42","indexId":"70160001","displayToPublicDate":"2015-12-08T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"What role do hurricanes play in sediment delivery to subsiding river deltas?","docAbstract":"

The Mississippi River Delta (MRD) has undergone tremendous land loss over the past century due to natural and anthropogenic influences, a fate shared by many river deltas globally. A globally unprecedented effort to restore and sustain the remaining subaerial portions of the delta is now underway, an endeavor that is expected to cost $50–100B over the next 50 yr. Success of this effort requires a thorough understanding of natural and anthropogenic controls on sediment supply and delta geomorphology. In the MRD, hurricanes have been paradoxically identified as both substantial agents of widespread land loss, and vertical marsh sediment accretion. We present the first multi-decadal chronostratigraphic assessment of sediment supply for a major coastal basin of the MRD that assesses both fluvial and hurricane-induced contributions to sediment accumulation in deltaic wetlands. Our findings indicate that over multidecadal timescales, hurricane-induced sediment delivery may be an important contributor for deltaic wetland vertical accretion, but the contribution from hurricanes to long-term sediment accumulation is substantially less than sediment delivery supplied by existing and planned river-sediment diversions at present-day river-sediment loads.

","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep17582","usgsCitation":"Smith, J.E., Bentley, S., Snedden, G., and White, C., 2015, What role do hurricanes play in sediment delivery to subsiding river deltas?: Scientific Reports, v. 5, 17582; 8 p., https://doi.org/10.1038/srep17582.","productDescription":"17582; 8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064329","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep17582","text":"Publisher Index Page"},{"id":312036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Mississippi River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.15380859375,\n 29.42524498547202\n ],\n [\n -90.15380859375,\n 29.938275329718987\n ],\n [\n -89.6044921875,\n 29.938275329718987\n ],\n [\n -89.6044921875,\n 29.42524498547202\n ],\n [\n -90.15380859375,\n 29.42524498547202\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-02","publicationStatus":"PW","scienceBaseUri":"5667ff3de4b06a3ea36c8e14","contributors":{"authors":[{"text":"Smith, James E.","contributorId":150401,"corporation":false,"usgs":false,"family":"Smith","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":581533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bentley, Samuel J.","contributorId":150402,"corporation":false,"usgs":false,"family":"Bentley","given":"Samuel J.","affiliations":[],"preferred":false,"id":581534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snedden, Gregg 0000-0001-7821-3709 sneddeng@usgs.gov","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":140235,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","email":"sneddeng@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":581492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Crawford","contributorId":150403,"corporation":false,"usgs":false,"family":"White","given":"Crawford","email":"","affiliations":[],"preferred":false,"id":581535,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160625,"text":"70160625 - 2015 - Taxonomic revision of Phascogale tapoatafa (Meyer, 1793) (Dasyuridae; Marsupialia), including descriptions of two new subspecies and confirmation of P. pirata Thomas, 1904 as a ‘Top End’ endemic","interactions":[],"lastModifiedDate":"2019-12-13T06:26:09","indexId":"70160625","displayToPublicDate":"2015-12-08T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Taxonomic revision of Phascogale tapoatafa (Meyer, 1793) (Dasyuridae; Marsupialia), including descriptions of two new subspecies and confirmation of P. pirata Thomas, 1904 as a ‘Top End’ endemic","title":"Taxonomic revision of Phascogale tapoatafa (Meyer, 1793) (Dasyuridae; Marsupialia), including descriptions of two new subspecies and confirmation of P. pirata Thomas, 1904 as a ‘Top End’ endemic","docAbstract":"

The Australian Brush-tailed Phascogale (Phascogale tapoatafa sensu lato) has a broad but highly fragmented distribution around the periphery of the Australian continent and all populations are under significant ongoing threat to survival. A new appraisal of morphological and molecular diversity within the group reveals that the population in the ‘Top End’ of the Northern Territory is specifically distinct from all others, including those in the Kimberley region of Western Australia to the west and on Cape York of Queensland to the east. The name P. pirata Thomas, 1904 is available for the ‘Top End’ taxon. Three geographically disjunct populations are distinguished at subspecies level within P. tapoatafa on a suite of external and cranio-dental features; these are found in southeast Australia from South Australia to mid-coastal Queensland (nominotypical tapoatafa), southwest Western Australia (wambenger subsp. nov.), and the Kimberley region of Western Australia (kimberleyensis subsp. nov.). A potential fourth subspecies occurs on Cape York but remains too poorly represented in collections for adequate characterization. Molecular divergence estimates based on partial sequences of the mitochondrial cytochrome b gene indicate that the range disjunction across southern Australia probably dates from the Late Pliocene, with the multiple disjunctions across northern Australia being more recent though almost certainly exceeding 400,000 years. An argument is made for the continued use of the subspecies rank in Australian mammalogy, despite a general lack of consistency in its current application.

","language":"English","publisher":"Magnolia Press","publisherLocation":"Auckland, NZ","doi":"10.11646/zootaxa.4055.1.1","usgsCitation":"Aplin, K.P., Rhind, S.G., Ten Have, J., and Chesser, R., 2015, Taxonomic revision of Phascogale tapoatafa (Meyer, 1793) (Dasyuridae; Marsupialia), including descriptions of two new subspecies and confirmation of P. pirata Thomas, 1904 as a ‘Top End’ endemic: Zootaxa, v. 4055, no. 1, p. 1-73, https://doi.org/10.11646/zootaxa.4055.1.1.","productDescription":"73 p.","startPage":"1","endPage":"73","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052756","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":312883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 142.646484375,\n -10.660607953624762\n ],\n [\n 141.50390625,\n -11.867350911459294\n ],\n [\n 141.240234375,\n -15.792253570362446\n ],\n [\n 140.18554687499997,\n -17.644022027872712\n ],\n [\n 135.703125,\n -14.519780046326085\n ],\n [\n 137.021484375,\n -12.039320557540572\n ],\n [\n 131.30859375,\n -10.919617760254685\n ],\n [\n 129.814453125,\n -11.5230875068685\n ],\n [\n 129.19921875,\n -14.179186142354169\n ],\n [\n 126.65039062499999,\n -13.496472765758952\n ],\n [\n 121.728515625,\n -16.63619187839765\n ],\n [\n 121.728515625,\n -18.47960905583197\n ],\n [\n 116.54296874999999,\n -20.632784250388013\n ],\n [\n 113.291015625,\n -21.943045533438166\n ],\n [\n 112.939453125,\n -26.431228064506424\n ],\n [\n 114.697265625,\n -31.05293398570514\n ],\n [\n 115.31249999999999,\n -32.62087018318112\n ],\n [\n 114.873046875,\n -33.87041555094182\n ],\n [\n 116.98242187499999,\n -35.532226227703376\n ],\n [\n 119.61914062499999,\n -35.24561909420681\n ],\n [\n 119.88281249999999,\n -34.234512362369856\n ],\n [\n 123.662109375,\n -34.089061315849946\n ],\n [\n 126.03515625,\n -32.175612478499325\n ],\n [\n 127.35351562499999,\n -32.472695022061494\n ],\n [\n 129.7265625,\n -31.728167146023935\n ],\n [\n 132.01171875,\n -32.175612478499325\n ],\n [\n 135.966796875,\n -34.95799531086791\n ],\n [\n 136.669921875,\n -36.3151251474805\n ],\n [\n 140.537109375,\n -37.78808138412045\n ],\n [\n 141.943359375,\n -38.61687046392973\n ],\n [\n 145.546875,\n -39.09596293630548\n ],\n [\n 148.359375,\n -38.8225909761771\n ],\n [\n 149.94140625,\n -37.5097258429375\n ],\n [\n 152.9296875,\n -31.653381399663985\n ],\n [\n 153.896484375,\n -27.215556209029675\n ],\n [\n 153.28125,\n -24.686952411999144\n ],\n [\n 148.359375,\n -19.72534224805787\n ],\n [\n 142.646484375,\n -10.660607953624762\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4055","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-08","publicationStatus":"PW","scienceBaseUri":"56826b48e4b0a04ef4925ba1","contributors":{"authors":[{"text":"Aplin, K. P.","contributorId":150872,"corporation":false,"usgs":false,"family":"Aplin","given":"K.","email":"","middleInitial":"P.","affiliations":[{"id":12519,"text":"Smithsonian Institution Research Assoicate","active":true,"usgs":false}],"preferred":false,"id":583369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rhind, S. G.","contributorId":150873,"corporation":false,"usgs":false,"family":"Rhind","given":"S.","email":"","middleInitial":"G.","affiliations":[{"id":18128,"text":"University of Woolongong, Australia","active":true,"usgs":false}],"preferred":false,"id":583370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ten Have, J.","contributorId":150874,"corporation":false,"usgs":false,"family":"Ten Have","given":"J.","affiliations":[{"id":18129,"text":"Department of Agriculture, Fisheries and Forestry, Canberra, Australia","active":true,"usgs":false}],"preferred":false,"id":583371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chesser, R. Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":894,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":583368,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70171004,"text":"70171004 - 2015 - Reviews and syntheses: Effects of permafrost thaw on Arctic aquatic ecosystems","interactions":[],"lastModifiedDate":"2016-05-17T10:15:51","indexId":"70171004","displayToPublicDate":"2015-12-08T05:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Reviews and syntheses: Effects of permafrost thaw on Arctic aquatic ecosystems","docAbstract":"

The Arctic is a water-rich region, with freshwater systems covering about 16 % of the northern permafrost landscape. Permafrost thaw creates new freshwater ecosystems, while at the same time modifying the existing lakes, streams, and rivers that are impacted by thaw. Here, we describe the current state of knowledge regarding how permafrost thaw affects lentic (still) and lotic (moving) systems, exploring the effects of both thermokarst (thawing and collapse of ice-rich permafrost) and deepening of the active layer (the surface soil layer that thaws and refreezes each year). Within thermokarst, we further differentiate between the effects of thermokarst in lowland areas vs. that on hillslopes. For almost all of the processes that we explore, the effects of thaw vary regionally, and between lake and stream systems. Much of this regional variation is caused by differences in ground ice content, topography, soil type, and permafrost coverage. Together, these modifying factors determine (i) the degree to which permafrost thaw manifests as thermokarst, (ii) whether thermokarst leads to slumping or the formation of thermokarst lakes, and (iii) the manner in which constituent delivery to freshwater systems is altered by thaw. Differences in thaw-enabled constituent delivery can be considerable, with these modifying factors determining, for example, the balance between delivery of particulate vs. dissolved constituents, and inorganic vs. organic materials. Changes in the composition of thaw-impacted waters, coupled with changes in lake morphology, can strongly affect the physical and optical properties of thermokarst lakes. The ecology of thaw-impacted lakes and streams is also likely to change; these systems have unique microbiological communities, and show differences in respiration, primary production, and food web structure that are largely driven by differences in sediment, dissolved organic matter, and nutrient delivery. The degree to which thaw enables the delivery of dissolved vs. particulate organic matter, coupled with the composition of that organic matter and the morphology and stratification characteristics of recipient systems will play an important role in determining the balance between the release of organic matter as greenhouse gases (CO2 and CH4), its burial in sediments, and its loss downstream. The magnitude of thaw impacts on northern aquatic ecosystems is increasing, as is the prevalence of thaw-impacted lakes and streams. There is therefore an urgent need to quantify how permafrost thaw is affecting aquatic ecosystems across diverse Arctic landscapes, and the implications of this change for further climate warming.

\n

 

","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-12-7129-2015","usgsCitation":"Vonk, J., Tank, S., Bowden, W., Laurion, I., Vincent, W., Alekseychik, P., Amyot, Y., Billet, M., Canario, J., Cory, R., Deshpande, B., Helbig, M., Jammet, M., Karlsson, J., Larouche, J., MacMillan, G., Rautio, M., Walter Anthony, K., and Wickland, K.P., 2015, Reviews and syntheses: Effects of permafrost thaw on Arctic aquatic ecosystems: Biogeosciences, v. 12, p. 7129-7167, https://doi.org/10.5194/bg-12-7129-2015.","productDescription":"39 p.","startPage":"7129","endPage":"7167","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066263","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471575,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-12-7129-2015","text":"Publisher Index Page"},{"id":321284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-08","publicationStatus":"PW","scienceBaseUri":"574d6643e4b07e28b6684d99","contributors":{"authors":[{"text":"Vonk, J.E.","contributorId":167792,"corporation":false,"usgs":false,"family":"Vonk","given":"J.E.","affiliations":[],"preferred":false,"id":629458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tank, S.E.","contributorId":169370,"corporation":false,"usgs":false,"family":"Tank","given":"S.E.","email":"","affiliations":[{"id":12799,"text":"University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":629459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowden, W.B.","contributorId":83237,"corporation":false,"usgs":true,"family":"Bowden","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":629460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laurion, I.","contributorId":169371,"corporation":false,"usgs":false,"family":"Laurion","given":"I.","affiliations":[{"id":25483,"text":"Institut national de la recherche scientifique, Quebec CIty, Canada","active":true,"usgs":false}],"preferred":false,"id":629461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vincent, W.F.","contributorId":169372,"corporation":false,"usgs":false,"family":"Vincent","given":"W.F.","email":"","affiliations":[{"id":25484,"text":"Université Laval, Québec City, Canada","active":true,"usgs":false}],"preferred":false,"id":629462,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alekseychik, P.","contributorId":169373,"corporation":false,"usgs":false,"family":"Alekseychik","given":"P.","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":629463,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amyot, Y.","contributorId":169374,"corporation":false,"usgs":false,"family":"Amyot","given":"Y.","email":"","affiliations":[{"id":25485,"text":"Université de Montréal, Canada","active":true,"usgs":false}],"preferred":false,"id":629464,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Billet, M.F.","contributorId":169375,"corporation":false,"usgs":false,"family":"Billet","given":"M.F.","email":"","affiliations":[{"id":25486,"text":"University of Stirling, UK","active":true,"usgs":false}],"preferred":false,"id":629465,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Canario, J.","contributorId":169376,"corporation":false,"usgs":false,"family":"Canario","given":"J.","affiliations":[{"id":25487,"text":"Universidade de Lisboa, Lisboa, Portugal","active":true,"usgs":false}],"preferred":false,"id":629466,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cory, R.M.","contributorId":72186,"corporation":false,"usgs":true,"family":"Cory","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":629467,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Deshpande, B.N.","contributorId":169377,"corporation":false,"usgs":false,"family":"Deshpande","given":"B.N.","email":"","affiliations":[{"id":25484,"text":"Université Laval, Québec City, Canada","active":true,"usgs":false}],"preferred":false,"id":629468,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Helbig, M.","contributorId":169378,"corporation":false,"usgs":false,"family":"Helbig","given":"M.","email":"","affiliations":[{"id":25485,"text":"Université de Montréal, Canada","active":true,"usgs":false}],"preferred":false,"id":629469,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jammet, M.","contributorId":169379,"corporation":false,"usgs":false,"family":"Jammet","given":"M.","email":"","affiliations":[{"id":25488,"text":"University of Copenhagen, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":629470,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Karlsson, J.","contributorId":169380,"corporation":false,"usgs":false,"family":"Karlsson","given":"J.","email":"","affiliations":[{"id":25489,"text":"Umeå University, Abisko, Sweden","active":true,"usgs":false}],"preferred":false,"id":629471,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Larouche, J.","contributorId":169381,"corporation":false,"usgs":false,"family":"Larouche","given":"J.","email":"","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":629472,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"MacMillan, G.","contributorId":169382,"corporation":false,"usgs":false,"family":"MacMillan","given":"G.","email":"","affiliations":[{"id":25490,"text":"Université de Montréal, Montreal, Canada","active":true,"usgs":false}],"preferred":false,"id":629473,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rautio, Milla","contributorId":169383,"corporation":false,"usgs":false,"family":"Rautio","given":"Milla","email":"","affiliations":[{"id":25491,"text":"Université du Québec à Chicoutimi, Canada","active":true,"usgs":false}],"preferred":false,"id":629474,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Walter Anthony, K.M.","contributorId":169384,"corporation":false,"usgs":false,"family":"Walter Anthony","given":"K.M.","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":629475,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":629457,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70188064,"text":"70188064 - 2015 - The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes","interactions":[],"lastModifiedDate":"2017-05-31T16:06:56","indexId":"70188064","displayToPublicDate":"2015-12-08T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes","docAbstract":"

The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset builds on previous approaches to ‘smart’ interpolation techniques and high resolution, long period of record precipitation estimates based on infrared Cold Cloud Duration (CCD) observations. The algorithm i) is built around a 0.05° climatology that incorporates satellite information to represent sparsely gauged locations, ii) incorporates daily, pentadal, and monthly 1981-present 0.05° CCD-based precipitation estimates, iii) blends station data to produce a preliminary information product with a latency of about 2 days and a final product with an average latency of about 3 weeks, and iv) uses a novel blending procedure incorporating the spatial correlation structure of CCD-estimates to assign interpolation weights. We present the CHIRPS algorithm, global and regional validation results, and show how CHIRPS can be used to quantify the hydrologic impacts of decreasing precipitation and rising air temperatures in the Greater Horn of Africa. Using the Variable Infiltration Capacity model, we show that CHIRPS can support effective hydrologic forecasts and trend analyses in southeastern Ethiopia.

","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/sdata.2015.66","usgsCitation":"Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Husak, G., Rowland, J., Harrison, L., Hoell, A., and Michaelsen, J., 2015, The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes: Scientific Data, v. 2, Article 150066: 21 p., https://doi.org/10.1038/sdata.2015.66.","productDescription":"Article 150066: 21 p.","ipdsId":"IP-066224","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471576,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2015.66","text":"Publisher Index Page"},{"id":341859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-08","publicationStatus":"PW","scienceBaseUri":"592e84bbe4b092b266f10d3d","contributors":{"authors":[{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Pete","contributorId":192379,"corporation":false,"usgs":false,"family":"Peterson","given":"Pete","affiliations":[],"preferred":false,"id":696432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landsfeld, Martin","contributorId":192380,"corporation":false,"usgs":false,"family":"Landsfeld","given":"Martin","affiliations":[],"preferred":false,"id":696433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pedreros, Diego 0000-0001-9943-7373 pedreros@usgs.gov","orcid":"https://orcid.org/0000-0001-9943-7373","contributorId":4195,"corporation":false,"usgs":true,"family":"Pedreros","given":"Diego","email":"pedreros@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verdin, James 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":145830,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696376,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shukla, Shraddhanand","contributorId":145802,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":696372,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Husak, Gregory","contributorId":145811,"corporation":false,"usgs":false,"family":"Husak","given":"Gregory","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":696373,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696375,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Harrison, Laura","contributorId":78859,"corporation":false,"usgs":true,"family":"Harrison","given":"Laura","affiliations":[],"preferred":false,"id":696374,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hoell, Andrew","contributorId":145803,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":696434,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Michaelsen, Joel","contributorId":149202,"corporation":false,"usgs":false,"family":"Michaelsen","given":"Joel","affiliations":[],"preferred":false,"id":696435,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70159636,"text":"sir20155166 - 2015 - Occurrence and transport of selected constituents in streams near the Stibnite mining area, Central Idaho, 2012–14","interactions":[],"lastModifiedDate":"2016-01-05T08:28:48","indexId":"sir20155166","displayToPublicDate":"2015-12-07T17:45:00","publicationYear":"2015","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":"2015-5166","title":"Occurrence and transport of selected constituents in streams near the Stibnite mining area, Central Idaho, 2012–14","docAbstract":"

Mining of stibnite (antimony sulfide), tungsten, gold, silver, and mercury near the town of Stibnite in central Idaho has left a legacy of trace element contamination in local streams. Water-quality and streamflow monitoring data from a network of five streamflow-gaging stations were used to estimate trace-element and suspended-sediment loads and flow-weighted concentrations in the Stibnite mining area between 2012 and 2014. Measured concentrations of arsenic exceeded human health-based water-quality criteria at each streamflow-gaging station, except for Meadow Creek (site 2), which was selected to represent background conditions in the study area. Measured concentrations of antimony exceeded human health-based water-quality criteria at sites 3, 4, and 5.

\n

Regression models developed using the U.S. Geological Survey LOAD ESTimation (LOADEST) program showed that concentrated sources of arsenic and antimony are present in specific reaches along Meadow Creek and the East Fork of South Fork of the Salmon River (EFSFSR) between the EFSFSR at Stibnite (site 3) and the EFSFSR above Sugar Creek (site 4). Eighty percent of the arsenic and antimony loads were attributable to discrete reaches that accounted for 25 percent of the total streamflow in the study area. Streamflow was negatively correlated with arsenic and antimony concentrations, indicating groundwater sources. Continuously monitored specific conductance, alone or combined with continuously computed streamflow, was more significant than streamflow alone as a surrogate measure of dissolved arsenic and antimony concentrations. Surrogate regression models (with coefficients of determination ranging from 0.96 to 0.65) can be used to estimate arsenic and antimony concentrations in real time at all five streamflow-gaging stations.

\n

LOADEST model simulation results indicated hysteresis in transport of suspended sediment and sediment-associated constituents. Predictor variables that account for streamflow variability reduced model bias and root mean square error when included in regression models used to estimate concentrations and loads of suspended sediment, total aluminum, total lead, and total mercury.

\n

Ninety-eight percent of the estimated total mercury load transported downstream of the study area is attributable to Sugar Creek. A maximum concentration of 26 micrograms per liter was measured in Sugar Creek during May 2013 when snowmelt runoff occurred during a single peak in the hydrograph. Monitoring and modeling results indicate sediment and sediment-associated constituent concentrations and loads increase along Meadow Creek, likely because of the inflow of the East Fork of Meadow Creek, and decrease between sites 3 and 4 because the Glory Hole is trapping sediments. Sugar Creek (site 5) accounted for most of the sediment and sediment-associated constituent loading leaving the study area because loads from the East Fork of Meadow Creek remained trapped in the Glory Hole. Additionally, total mercury was detected at all five streamflow-gaging stations, and sampled mercury concentrations exceeded Idaho ambient water-quality criteria at all five streamflow-gaging stations.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155166","collaboration":"Prepared in cooperation with the Idaho Department of Lands and the Midas Gold Corporation","usgsCitation":"Etheridge, A.B., 2015, Occurrence and transport of selected constituents in streams near the Stibnite mining area, central Idaho, 2012–14: U.S. Geological Survey Scientific Investigations Report 2015–5166, 47 p., https://dx.doi.org/10.3133/sir20155166.","productDescription":"Report: vii, 47 p.; Appendix B","numberOfPages":"59","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-10-01","temporalEnd":"2014-09-30","ipdsId":"IP-060615","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":311962,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5166/coverthb.jpg"},{"id":311964,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5166/sir20155166_appendixb.xlsx","text":"Appendix B","size":"40 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5166 Appendix B"},{"id":311963,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5166/sir20155166.pdf","text":"Report","size":"4.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5166 PDF"}],"country":"United States","state":"Idaho","otherGeospatial":"Stibnite Mining Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {\n \"stroke\": \"#555555\",\n \"stroke-width\": 2,\n \"stroke-opacity\": 1,\n \"fill\": \"#555555\",\n \"fill-opacity\": 0.5\n },\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.36502838134766,\n 44.82397775537488\n ],\n [\n -115.36502838134766,\n 44.98034238084973\n ],\n [\n -115.20195007324217,\n 44.98034238084973\n ],\n [\n -115.20195007324217,\n 44.82397775537488\n ],\n [\n -115.36502838134766,\n 44.82397775537488\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
http://id.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2015-12-07","noUsgsAuthors":false,"publicationDate":"2015-12-07","publicationStatus":"PW","scienceBaseUri":"5666adbbe4b06a3ea36c8ae6","contributors":{"authors":[{"text":"Etheridge, Alexandra B. 0000-0003-1282-7315 aetherid@usgs.gov","orcid":"https://orcid.org/0000-0003-1282-7315","contributorId":3542,"corporation":false,"usgs":true,"family":"Etheridge","given":"Alexandra","email":"aetherid@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579836,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159758,"text":"ds947 - 2015 - Stream geomorphic and habitat data from a baseline study of Underwood Creek, Wisconsin, 2012","interactions":[],"lastModifiedDate":"2015-12-08T12:44:38","indexId":"ds947","displayToPublicDate":"2015-12-07T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"947","title":"Stream geomorphic and habitat data from a baseline study of Underwood Creek, Wisconsin, 2012","docAbstract":"

Geomorphic and habitat data were collected along Underwood Creek as part of a larger study of stream water quality conditions in the greater Milwaukee, Wisconsin, area. The data were collected to characterize baseline physical conditions in Underwood Creek prior to a potential discharge of wastewater return flow to the stream from the city of Waukesha, Wis. Geomorphic and habitat assessments were conducted in the summer and fall of 2012 by the U.S. Geological Survey (USGS) in cooperation with the Milwaukee Metropolitan Sewerage District. The assessments used a transect based, reach scale assessment at a total of eight reaches—six reaches along Underwood Creek and two reaches along the Menomonee River upstream and downstream of its confluence with Underwood Creek. The reach scale assessment was an updated version of the USGS National Water Quality Assessment Program habitat assessment integrated with an intensive geomorphic assessment. Channel cross sections and longitudinal profiles were surveyed along each of the eight reaches, and discharge and water temperature were measured. Additionally, a geomorphic river walk-through was completed along a 10 kilometer reach that spanned the individual assessment reaches and the sections of channel between them. The assessments and river walk-through described channel and bank stability, channel shape and size, sediment and riparian conditions along these areas of Underwood Creek and the Menomonee River. Since the time of the data collection, focus has turned to other Lake Michigan tributary watersheds for possible Waukesha return-flow discharges; however, the data collected for this effort remains a valuable asset for the baseline characterization, design, and prioritization of planned stream rehabilitation activities in Underwood Creek. The data files presented in this report include a variety of formats including geographic information system files, spreadsheets, photos, and scans of field forms.

\n

A subset of habitat-specific data collected during the baseline study can be retrieved through USGS BioData https://aquatic.biodata.usgs.gov/landing.action.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds947","collaboration":"Prepared in cooperation with Milwaukee Metropolitan Sewerage District","usgsCitation":"Young, B.M., Fitzpatrick, F.A., and Blount, J.D., 2015, Stream geomorphic and habitat data from a baseline study of Underwood Creek, Wisconsin, 2012: U.S. Geological Survey Data Series 947, 14 p., plus data files, https://dx.doi.org/10.3133/ds947.","productDescription":"Report: v, 14 p.; 3 Tables; Figures; ReadMe; Spatial Data; Photos; Downloads Directory","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053458","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":311608,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/0947/downloads/ds947_USGS-Underwood-Creek-Site-Surveys-Cross-Sections.xlsx","text":"Underwood Creek Site Survey - Cross Section","size":"239 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 947"},{"id":311606,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0947/downloads/photos","text":"Photos","description":"DS 947","linkHelpText":"Geomorphic and Habit Assessment Site Photos (108 files, 270 MB), River Walk-Through Photos
(307 files, 782 MB), and picasa39-setup.exe (14.6 MB)"},{"id":311612,"rank":12,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0947/downloads","text":"Downloads","description":"DS 947","linkHelpText":"Directory includes completed field forms, data tables, figures, gis and photo data"},{"id":311610,"rank":10,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0947/downloads/ds947_USGS-UnderwoodCreekReturnFlowStudy.mpk","text":"USGS Underwood Creek - Return Flow Study (mpk)","size":"252 MB","description":"DS 947"},{"id":311604,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/0947/downloads/data-tables/data-tables.zip","text":"Data Tables","size":"192 KB","linkFileType":{"id":6,"text":"zip"},"description":"DS 947","linkHelpText":"USGS Underwood Creek (12 files)"},{"id":311605,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/ds/0947/downloads/gis/gis.zip","text":"Final Geographic Information System Files","size":"193 KB","linkFileType":{"id":6,"text":"zip"},"description":"DS 947","linkHelpText":"(153 Files )"},{"id":311609,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/0947/downloads/ds947_USGS-Underwood-Creek-Site-Surveys-Longitudinal-Profiles.xlsx","text":"Underwood Creek Site Survey - Longitudinal Profiles","size":"93.7 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 947"},{"id":311611,"rank":11,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/0947/downloads/ds947_USGS-UnderwoodCreek-Readme.pdf","text":"Read Me","size":"22.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 947"},{"id":311601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0947/coverthb.jpg"},{"id":311607,"rank":7,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/ds/0947/downloads/figures/figures.zip","text":"Location Map, Hydrograph Comparisons, and Photo Comparison","description":"DS 947","linkHelpText":"
Figure 1, Figure 2, and Figure 3 (2.17 MB)"},{"id":311602,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0947/ds947.pdf","text":"Report","size":"20.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 947"},{"id":311603,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0947/downloads/completed-field-forms/completed-field-forms.zip","text":"Completed Field Forms","linkFileType":{"id":6,"text":"zip"},"description":"DS 947","linkHelpText":"(12 files, 198 MB)"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Underwood Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.18897247314453,\n 43.01644634906304\n ],\n [\n -88.18897247314453,\n 43.08869845638895\n ],\n [\n -87.99671173095703,\n 43.08869845638895\n ],\n [\n -87.99671173095703,\n 43.01644634906304\n ],\n [\n -88.18897247314453,\n 43.01644634906304\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, Wisconsin 53562-3586
http://wi.water.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2015-12-07","noUsgsAuthors":false,"publicationDate":"2015-12-07","publicationStatus":"PW","scienceBaseUri":"5666adbce4b06a3ea36c8aea","contributors":{"authors":[{"text":"Young, Benjamin M. byoung@usgs.gov","contributorId":5591,"corporation":false,"usgs":true,"family":"Young","given":"Benjamin","email":"byoung@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":150001,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blount, James D.","contributorId":150002,"corporation":false,"usgs":true,"family":"Blount","given":"James D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580351,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70158994,"text":"sir20155147 - 2015 - Characterization of hydrology and water quality of Piceance Creek in the Alkali Flat area, Rio Blanco County, Colorado, March 2012","interactions":[],"lastModifiedDate":"2015-12-07T14:55:23","indexId":"sir20155147","displayToPublicDate":"2015-12-07T11:00:00","publicationYear":"2015","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":"2015-5147","title":"Characterization of hydrology and water quality of Piceance Creek in the Alkali Flat area, Rio Blanco County, Colorado, March 2012","docAbstract":"

Previous studies by the U.S. Geological Survey identified Alkali Flat as an area of groundwater upwelling, with increases in concentrations of total dissolved solids, and streamflow loss, but additional study was needed to better characterize these observations. The U.S. Geological Survey, in cooperation with the Bureau of Land Management, White River Field Office, conducted a study to characterize the hydrology and water quality of Piceance Creek in the Alkali Flat area of Rio Blanco County, Colorado.

\n

Water-quality samples were collected at five springs on March 27, 2012, to determine field properties, major ions, trace elements, and stable isotopes of water. Major-ion and trace-element chemistry indicated that the springs sampled as part of this study were likely recharged by the bedrock aquifer. Isotopic values for the springs plotted close to that of groundwater from the Parachute Creek Member of the Green River Formation, and the isotopic values from both of these sources are similar to the values for Grand Mesa snow. Based on fluoride, lithium, and strontium concentrations, one spring appeared to have different source water than the other four springs. The spring also had higher concentrations of calcium, magnesium, and sulfate relative to the other four springs. Trace-element and major-ion data indicate that this spring was sourced from the Uinta Formation. It was likely the other four springs were primarily sourced from the lower part of the Parachute Creek Member of the Green River Formation as indicated by low sulfate concentrations and high fluoride, lithium, and boron concentrations.

\n

Water-quality samples were collected at 16 surface-water-quality sites on March 14, 2012, to determine field properties, major ions, and trace elements. Sodium was the dominant cation and concentrations increased steadily from upstream to downstream along the study reach. Calcium, magnesium, and potassium concentrations remained relatively stable along the study reach. Strontium concentrations were relatively stable along the study reach, whereas boron and lithium concentrations increased appreciably at site PC22031 and remained elevated to the end of the study reach.

\n

Loading profiles were used to further refine areas of spring and groundwater input and streamflow gains and losses. Although there was a minor gain in streamflow from sites PC21543 to PC21816 (58 to 59 cubic feet per second (ft3/s) during March 2014), the observed increase in dissolved solids load indicated groundwater contribution to Piceance Creek between these two sites. From sites PC22737 to PC22980, dissolved solids load decreased, which was not observed in concentration profiles and indicated that streamflow loss occurred between these two sites. Barium, boron, lithium, and strontium loads showed similar patterns to that of the major ions along the study reach and indicated similar areas of groundwater gain and loss. Boron and lithium load were not observed to decrease in a similar pattern to that of barium and strontium load which would suggest the contribution to the stream from sources with similar chemistry to that of spring sites PCSP2 through PCSP5. Sodium, chloride, and bicarbonate loads increased and decreased along the study reach in a pattern similar to that of dissolved solids load. A chemical mass balance was used to estimate the amount of groundwater and (or) spring water that contributed to the observed changes in water quality along Piceance Creek. This analysis indicated only 5 percent spring water would need to reach Piceance Creek to result in the observed changes in water quality.

\n

Instantaneous streamflow was measured from sites PC20133 to PC23721 during field reconnaissance (February 2012) and during synoptic sampling (March 2012). During both February and March, the study reach from sites PC20133 to PC23721 was a losing reach with net losses that ranged from 0.5 ft3/s (February) to 3 ft3/s (March). Observed changes in streamflow along the study reach helped to depict interactions between groundwater and surface water in the Alkali Flat area.

\n

Water-quality samples were collected at five surface-water sites in December 2010 that were sampled as part of a previous USGS study in 2000. Water-quality data collected during December 2010 showed no appreciable difference from water-quality data collected during December 2000 at the five sites.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20155147","collaboration":"Prepared in cooperation with the Bureau of Land Management, White River Field Office","usgsCitation":"Thomas, J.C., 2015, Characterization of hydrology and water quality of Piceance Creek in the Alkali Flat area, Rio Blanco County, Colorado, March 2012: U.S. Geological Survey Scientific Investigations Report 2015–5147, 23 p., https://dx.doi.org/10.3133/sir20155147.","productDescription":"iv, 23 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065008","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":311970,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5147/sir20155147.pdf","text":"Report","size":"13.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5147"},{"id":311969,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5147/coverthb.jpg"}],"country":"United States","state":"Colorado","county":"Rio Blanco County","otherGeospatial":"Alkali Flat Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109,\n 39\n ],\n [\n -109,\n 40.1\n ],\n [\n -107.8,\n 40.1\n ],\n [\n -107.8,\n 39\n ],\n [\n -109,\n 39\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
http://co.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2015-12-07","noUsgsAuthors":false,"publicationDate":"2015-12-07","publicationStatus":"PW","scienceBaseUri":"5666adafe4b06a3ea36c8ae2","contributors":{"authors":[{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577180,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159881,"text":"ofr20151205 - 2015 - Hydrodynamic assessment data associated with the July 2010 line 6B spill into the Kalamazoo River, Michigan, 2012–14","interactions":[],"lastModifiedDate":"2018-01-08T12:32:18","indexId":"ofr20151205","displayToPublicDate":"2015-12-07T09:15:00","publicationYear":"2015","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":"2015-1205","title":"Hydrodynamic assessment data associated with the July 2010 line 6B spill into the Kalamazoo River, Michigan, 2012–14","docAbstract":"

Hydrodynamic-assessment data for the Kalamazoo River were collected by the U.S. Geological Survey (USGS) during 2012–14 to augment other hydrodynamic data-collection efforts by Enbridge Energy L.P. and the U.S. Environmental Protection Agency associated with the 2010 Enbridge Line 6B oil spill. Specifically, the USGS data-collection efforts were focused on additional background data needed for 2013–14 updates to Enbridge’s 2012 hydrodynamic and sediment-transport models for simulating resuspension and deposition of submerged oil. The main data-collection activities consisted of the following along the Kalamazoo River: (1) a survey done by use of a Real-Time Network Global Navigation Satellite System, (2) water-level measurements in impounded sections, (3) velocity, discharge, and bathymetry measurements at transects and stationary points along the oil-affected reach of the river and in Morrow Delta and Lake, (4) estimates of tributary inflows, and (5) suspended-sediment concentrations and particle-size data at USGS streamgages along the Kalamazoo River. The method used to estimate bed shear stress from stationary velocity data is described. Averaged transect-based velocity data that were processed to match model grids also are included. In addition to model inputs and checks, these hydrodynamic-related data were used in submerged oil containment and recovery operations focused in impoundments and designated sediment traps. This report contains a description of the scope and methods associated with the hydrodynamic data collection and supplementary files of the USGS data that were used in modeling activities.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151205","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Reneau, P.C., Soong, D.T., Hoard, C.J., and Fitzpatrick, F.A., 2015, Hydrodynamic-assessment data associated with the July 2010 Line 6B spill into the Kalamazoo River, Michigan, 2012–14: U.S. Geological Survey Open-File Report 2015–1205, 26 p., https://dx.doi.org/10.3133/ofr20151205.","productDescription":"Report: v, 26 p.; 4 Appendixes","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059841","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":311838,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1205/ofr20151205.pdf","text":"Report","size":"8.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1205"},{"id":311837,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1205/coverthb.jpg"},{"id":311868,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1205/downloads","text":"Report Appendixes - Downloads","size":"772 MB","description":"OFR 2015-1205"},{"id":311843,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1205/downloads/ofr20151205_appendixc.xlsx","text":"Appendix C - Tributary Inflows Estimates","size":"1.51 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1205"},{"id":311842,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1205/downloads/ofr20151205_appendixb/ofr20151205_appendixb.zip","text":"Appendix B - Velocity, Discharge and Bathymetry Data","size":"225 MB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1205","linkHelpText":"Downloads include raw and processed
data in a variety of formats described in text
B1 June 2012 data (13.4 MB)
B2 August 2012 data (40.0 MB)
B3 April 2013 data (463.0 MB)
B4 Model confirmation velocities (9.89 MB)"},{"id":311841,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1205/downloads/ofr20151205_appendixa/ofr20151205_appendixa.xlsx","text":"Appendix A - Water Level Data","size":"17.6 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1205","linkHelpText":"2013-911 Kalamazoo 2013 All Stage Recorder Data"},{"id":311844,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1205/downloads/ofr20151205_appendixd/ofr20151205_appendixd.zip","text":"Appendix D - Suspended-Sediment Data","size":"279 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1205"}],"country":"United States","state":"Michigan","otherGeospatial":"Kalamazoo River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.60409545898438,\n 42.187829010590825\n ],\n [\n -85.60409545898438,\n 42.37680737157286\n ],\n [\n -84.825439453125,\n 42.37680737157286\n ],\n [\n -84.825439453125,\n 42.187829010590825\n ],\n [\n -85.60409545898438,\n 42.187829010590825\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, Wisconsin 53562
http://wi.water.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2015-12-07","noUsgsAuthors":false,"publicationDate":"2015-12-07","publicationStatus":"PW","scienceBaseUri":"5666adb7e4b06a3ea36c8ae4","contributors":{"authors":[{"text":"Reneau, Paul C. 0000-0002-1335-7573 pcreneau@usgs.gov","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":4385,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","email":"pcreneau@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soong, David T. dsoong@usgs.gov","contributorId":150163,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","email":"dsoong@usgs.gov","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoard, Christopher J. 0000-0003-2337-506X cjhoard@usgs.gov","orcid":"https://orcid.org/0000-0003-2337-506X","contributorId":191767,"corporation":false,"usgs":true,"family":"Hoard","given":"Christopher","email":"cjhoard@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":150164,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":580871,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159032,"text":"cir1418 - 2015 - Restoration handbook for sagebrush steppe ecosystems with emphasis on greater sage-grouse habitat—Part 2. Landscape level restoration decisions","interactions":[],"lastModifiedDate":"2017-11-22T15:50:13","indexId":"cir1418","displayToPublicDate":"2015-12-07T09:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1418","title":"Restoration handbook for sagebrush steppe ecosystems with emphasis on greater sage-grouse habitat—Part 2. Landscape level restoration decisions","docAbstract":"

Sagebrush steppe ecosystems in the United States currently (2015) occur on only about one-half of their historical land area because of changes in land use, urban growth, and degradation of land, including invasions of non-native plants. The existence of many animal species depends on the existence of sagebrush steppe habitat. The greater sage-grouse (Centrocercus urophasianus) is a landscape-dependent bird that requires intact habitat and combinations of sagebrush and perennial grasses to exist. In addition, other sagebrush-obligate animals also have similar requirements and restoration of landscapes for greater sage-grouse also will benefit these animals. Once sagebrush lands are degraded, they may require restoration actions to make those lands viable habitat for supporting sagebrush-obligate animals.

\n

Land managers do not have resources to restore all locations because of the extent of the restoration need and because some land uses are not likely to change, therefore, restoration decisions made at the landscape to regional scale may improve the effectiveness of restoration to achieve landscape and local restoration objectives. We present a landscape restoration decision tool intended to assist decision makers in determining landscape objectives, to identify and prioritize landscape areas where sites for priority restoration projects might be located, and to aid in ultimately selecting restoration sites guided by criteria used to define the landscape objectives. The landscape restoration decision tool is structured in five sections that should be addressed sequentially. Each section has a primary question or statement followed by related questions and statements to assist the user in addressing the primary question or statement. This handbook will guide decision makers through the important process steps of identifying appropriate questions, gathering appropriate data, developing landscape objectives, and prioritizing landscape patches where potential sites for restoration projects may be located. Once potential sites are selected, land managers can move to the site-specific decision tool to guide restoration decisions at the site level.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1418","isbn":"9781411339972","collaboration":"Prepared in cooperation with U.S. Joint Fire Science Program and National Interagency Fire Center, Bureau of Land Management, Great Northern Landscape Conservation, and Western Association of Fish and Wildlife Agencies","usgsCitation":"Pyke, D.A., Knick, S.T., Chambers, J.C., Pellant, M., Miller, R.F., Beck, J.L., Doescher, P.S., Schupp, E.W., Roundy,\nB.A., Brunson, M., and McIver, J.D., 2015, Restoration handbook for sagebrush steppe ecosystems with emphasis\non greater sage-grouse habitat—Part 2. Landscape level restoration decisions: U.S. Geological Survey Circular 1418,\n21 p., https://dx.doi.org/10.3133/cir1418.","productDescription":"vi, 21 p.","numberOfPages":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061720","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":337389,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/cir1416","text":"Circular 1416 –","linkHelpText":"Restoration handbook for sagebrush steppe ecosystems with emphasis on greater sage-grouse habitat—Part 1. Concepts for understanding and applying restoration"},{"id":311669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1418/coverthb.jpg"},{"id":337390,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/cir1426","text":"Circular 1426 –","linkHelpText":"Restoration handbook for sagebrush steppe ecosystems with emphasis on greater sage-grouse habitat—Part 3. Site level restoration decisions"},{"id":311670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1418/circ1418.pdf","text":"Report","size":"5.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1418 PDF"}],"country":"United States","state":"California, Idaho, Montana, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.025390625,\n 37.75334401310656\n ],\n [\n -121.025390625,\n 48.980216985374994\n ],\n [\n -104.1064453125,\n 48.980216985374994\n ],\n [\n -104.1064453125,\n 37.75334401310656\n ],\n [\n -121.025390625,\n 37.75334401310656\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
http://fresc.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2015-12-07","noUsgsAuthors":false,"publicationDate":"2015-12-07","publicationStatus":"PW","scienceBaseUri":"5666adbbe4b06a3ea36c8ae8","contributors":{"authors":[{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@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}],"preferred":true,"id":577547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","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":577548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":577549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellant, Mike","contributorId":83856,"corporation":false,"usgs":true,"family":"Pellant","given":"Mike","affiliations":[],"preferred":false,"id":577550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Richard F.","contributorId":12964,"corporation":false,"usgs":true,"family":"Miller","given":"Richard F.","affiliations":[],"preferred":false,"id":577551,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, Jeffrey L.","contributorId":93316,"corporation":false,"usgs":true,"family":"Beck","given":"Jeffrey L.","affiliations":[],"preferred":false,"id":577552,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doescher, Paul S.","contributorId":100306,"corporation":false,"usgs":true,"family":"Doescher","given":"Paul S.","affiliations":[],"preferred":false,"id":577553,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schupp, Eugene W.","contributorId":83455,"corporation":false,"usgs":true,"family":"Schupp","given":"Eugene W.","affiliations":[],"preferred":false,"id":577554,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roundy, Bruce A.","contributorId":95824,"corporation":false,"usgs":true,"family":"Roundy","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":577555,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brunson, Mark","contributorId":65781,"corporation":false,"usgs":true,"family":"Brunson","given":"Mark","affiliations":[],"preferred":false,"id":577556,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McIver, James D.","contributorId":147424,"corporation":false,"usgs":false,"family":"McIver","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":577557,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70160382,"text":"70160382 - 2015 - Stratigraphy and paleogeographic significance of a Late Pennsylvanian to Early Permian channeled slope sequence in the Darwin Basin, southern Darwin Hills, east-central California","interactions":[],"lastModifiedDate":"2015-12-21T11:14:29","indexId":"70160382","displayToPublicDate":"2015-12-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy and paleogeographic significance of a Late Pennsylvanian to Early Permian channeled slope sequence in the Darwin Basin, southern Darwin Hills, east-central California","docAbstract":"

The complex stratigraphy of late Paleozoic rocks in the southern Darwin Hills consists of regionally extensive Mississippian and Early to Middle Pennsylvanian rocks overlain by latest Pennsylvanian to Early Permian rocks, herein called the Darwin Hills sequence. Deposition of this latter sequence marked the beginning of the Darwin Basin. In Mississippian time, a carbonate platform prograded westward over slightly older slope deposits. In the Late Mississippian this platform was exposed to erosion and siliciclastic sediments were deposited. In Early to Middle Pennsylvanian time the area subsided, forming a west-facing ramp that was subjected to deformation and erosion in Middle or early Late Pennsylvanian time. Later this area was tilted westward and deep-water sediments were deposited on this slope. In latest Pennsylvanian to earliest Permian time, a major channel was cut through the older Pennsylvanian rocks and into the Upper Mississippian strata. This channel was gradually filled with increasingly finer grained, deep-water sediment as the area evolved into a basin floor by Early Permian (Sakmarian) time. Expansion of the Darwin Basin in Artinskian time led to a second phase of deposition represented by strata of the regionally extensive Darwin Canyon Formation. The geology in this small area thus documents tectonic events occurring during the early development of the Darwin Basin.

","language":"English","publisher":"Micropaleontology Press","collaboration":"San Jose State University","usgsCitation":"Stevens, C., Stone, P., Magginetti, R.T., and Ritter, S.M., 2015, Stratigraphy and paleogeographic significance of a Late Pennsylvanian to Early Permian channeled slope sequence in the Darwin Basin, southern Darwin Hills, east-central California: Stratigraphy, v. 12, no. 2, p. 185-196.","productDescription":"12 p.","startPage":"185","endPage":"196","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069648","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":312604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312601,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-319/article-1946","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Argus Range, Death Valley, Inyo Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.5,\n 35.5\n ],\n [\n -118.5,\n 37.5\n ],\n [\n -116.5,\n 37.5\n ],\n [\n -116.5,\n 35.5\n ],\n [\n -118.5,\n 35.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930d4e4b0da412f4fb5a0","contributors":{"authors":[{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":582775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":582774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magginetti, Robert T.","contributorId":8532,"corporation":false,"usgs":true,"family":"Magginetti","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":582776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritter, Scott M.","contributorId":150726,"corporation":false,"usgs":false,"family":"Ritter","given":"Scott","email":"","middleInitial":"M.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":582777,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160383,"text":"70160383 - 2015 - Architecture and evolution of an Early Permian carbonate complex on a tectonically active island in east-central California","interactions":[],"lastModifiedDate":"2015-12-21T10:14:06","indexId":"70160383","displayToPublicDate":"2015-12-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Architecture and evolution of an Early Permian carbonate complex on a tectonically active island in east-central California","docAbstract":"

The newly named Upland Valley Limestone represents a carbonate complex that developed on and adjacent to a tectonically active island in east-central California during a brief interval of Early Permian (late Artinskian) time. This lithologically unique, relatively thin limestone unit lies within a thick sequence of predominantly siliciclastic rocks and is characterized by its high concentration of crinoidal debris, pronounced lateral changes in thickness and lithofacies, and a largely endemic fusulinid fauna. Most outcrops represent a carbonate platform and debris derived from it and shed downslope, but another group of outcrops represents one or possibly more isolated carbonate buildups that developed offshore from the platform. Tectonic activity in the area occurred before, probably during, and after deposition of this short-lived carbonate complex.

","language":"English","publisher":"Micropaleontology Press; Micropaleontology Press Foundation, Inc.","usgsCitation":"Stevens, C., Magginetti, R.T., and Stone, P., 2015, Architecture and evolution of an Early Permian carbonate complex on a tectonically active island in east-central California: Stratigraphy, v. 12, p. 167-182.","productDescription":"16 p.","startPage":"167","endPage":"182","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053129","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":312586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312581,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-319/article-1945"}],"country":"United States","state":"California","otherGeospatial":"East-central California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.82424926757811,\n 36.421282443649496\n ],\n [\n -117.40264892578124,\n 36.465471886798134\n ],\n [\n -117.29415893554686,\n 36.10681461011844\n ],\n [\n -117.75970458984374,\n 36.09349937380574\n ],\n [\n -117.82424926757811,\n 36.421282443649496\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930bee4b0da412f4fb535","contributors":{"authors":[{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":582888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magginetti, Robert T.","contributorId":8532,"corporation":false,"usgs":true,"family":"Magginetti","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":582889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":582887,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160381,"text":"70160381 - 2015 - Regional implications of new chronostratigraphic and paleogeographic data from the Early Permian Darwin Basin, east-central California","interactions":[],"lastModifiedDate":"2015-12-21T10:08:15","indexId":"70160381","displayToPublicDate":"2015-12-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Regional implications of new chronostratigraphic and paleogeographic data from the Early Permian Darwin Basin, east-central California","docAbstract":"

The Darwin Basin developed in response to episodic subsidence of the western margin of the Cordilleran continental shelf from Late Pennsylvanian (Gzhelian) to Early Permian (late Artinskian) time. Subsidence of the basin was initiated in response to continental truncation farther to the west and was later augmented by thrust emplacement of the Last Chance allochthon. This deep-water basin was filled by voluminous fine-grained siliciclastic turbidites and coarse-grained limestone-gravity-flow deposits. Most of this sediment was derived from the Bird Spring carbonate shelf and cratonal platform to the northeast or east, but some came from an offshore tectonic ridge (Conglomerate Mesa Uplift) to the west that formed at the toe of the Last Chance allochthon. At one point in the late Artinskian the influx of extrabasinal sediment was temporarily cut off, resulting in deposition of a unique black limestone that allows precise correlation throughout the basin. Deep-water sedimentation in the Darwin Basin ended by Kungurian time when complex shallow-water to continental sedimentary facies spread across the region. Major expansion of the Darwin Basin occurred soon after the middle Sakmarian emplacement of the Last Chance allochthon. This tectonic event was approximately coeval with deformation in northeastern Nevada that formed the deep-water Dry Mountain Trough. We herein interpret the two basins to have been structurally continuous. Deposition of the unique black limestone is interpreted to mark a eustatic sea level rise that also can be recognized in Lower Permian sections in east-central Nevada and central Arizona.

","language":"English","publisher":"Micropaleontology Press Foundation, Inc.","usgsCitation":"Stevens, C., Stone, P., and Magginetti, R.T., 2015, Regional implications of new chronostratigraphic and paleogeographic data from the Early Permian Darwin Basin, east-central California: Stratigraphy, v. 12, p. 149-166.","productDescription":"18 p.","startPage":"149","endPage":"166","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051976","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":312580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312579,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-319/article-1944"}],"country":"United States","state":"California","otherGeospatial":"Darwin Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.04833984375001,\n 36.85325222344018\n ],\n [\n -118.817138671875,\n 36.74768773190056\n ],\n [\n -118.58642578124999,\n 35.55904339525896\n ],\n [\n -116.79565429687499,\n 35.764343479667176\n ],\n [\n -117.04833984375001,\n 36.85325222344018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930d1e4b0da412f4fb58a","contributors":{"authors":[{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":582772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":582771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magginetti, Robert T.","contributorId":8532,"corporation":false,"usgs":true,"family":"Magginetti","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":582773,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160624,"text":"70160624 - 2015 - Occupancy estimation for rare species using a spatially-adaptive sampling design","interactions":[],"lastModifiedDate":"2016-08-03T13:12:27","indexId":"70160624","displayToPublicDate":"2015-12-06T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy estimation for rare species using a spatially-adaptive sampling design","docAbstract":"

Summary

\n

1. Spatially clustered populations create unique challenges for conservation monitoring programmes. Advances in methodology typically are focused on either the design or the modelling stage of the study but do not involve integration of both.

\n

2. We integrate adaptive cluster sampling and spatial occupancy modelling by developing two models to handle the dependence induced by cluster sampling. We compare these models to scenarios using simple random sampling and traditional occupancy models via simulation and data collected on a rare plant species, Tamarix ramosissima, found in China.

\n

3. Our simulations show a marked improvement in confidence interval coverage for the new models combined with cluster sampling compared to simple random sampling and traditional occupancy models, with greatest improvement in the presence of low detection probability and spatial correlation in occupancy.

\n

4. Accounting for the design using the simple cluster random-effects model reduces bias considerably, and full spatial modelling reduces bias further, especially for large n when the spatial covariance parameters can be estimated reliably. Both new models build on the strength of occupancy modelling and adaptive sampling and perform at least as well, and often better, than occupancy modelling alone.

\n

5. We believe our approach is unique and potentially useful for a variety of studies directed at patchily distributed, clustered or rare species exhibiting spatial variation.

","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/2041-210X.12499","collaboration":"Krishna Pacifici; Brian Reich; Michael Conroy","usgsCitation":"Pacifici, K., Reich, B.J., Dorazio, R., and Conroy, M.J., 2015, Occupancy estimation for rare species using a spatially-adaptive sampling design: Methods in Ecology and Evolution, v. 7, no. 3, p. 285-293, https://doi.org/10.1111/2041-210X.12499.","productDescription":"9 p.","startPage":"285","endPage":"293","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066383","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":471577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12499","text":"Publisher Index Page"},{"id":312878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-06","publicationStatus":"PW","scienceBaseUri":"56826b46e4b0a04ef4925b8b","contributors":{"authors":[{"text":"Pacifici, Krishna","contributorId":26564,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":583365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Brian J.","contributorId":150871,"corporation":false,"usgs":false,"family":"Reich","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":583366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":149286,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":583364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conroy, Michael J.","contributorId":20871,"corporation":false,"usgs":false,"family":"Conroy","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":583367,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168643,"text":"70168643 - 2015 - A hybrid model for mapping relative differences in belowground biomass and root: Shoot ratios using spectral reflectance, foliar N and plant biophysical data within coastal marsh","interactions":[],"lastModifiedDate":"2016-02-22T14:05:39","indexId":"70168643","displayToPublicDate":"2015-12-05T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A hybrid model for mapping relative differences in belowground biomass and root: Shoot ratios using spectral reflectance, foliar N and plant biophysical data within coastal marsh","docAbstract":"

Broad-scale estimates of belowground biomass are needed to understand wetland resiliency and C and N cycling, but these estimates are difficult to obtain because root:shoot ratios vary considerably both within and between species. We used remotely-sensed estimates of two aboveground plant characteristics, aboveground biomass and % foliar N to explore biomass allocation in low diversity freshwater impounded peatlands (Sacramento-San Joaquin River Delta, CA, USA). We developed a hybrid modeling approach to relate remotely-sensed estimates of % foliar N (a surrogate for environmental N and plant available nutrients) and aboveground biomass to field-measured belowground biomass for species specific and mixed species models. We estimated up to 90% of variation in foliar N concentration using partial least squares (PLS) regression of full-spectrum field spectrometer reflectance data. Landsat 7 reflectance data explained up to 70% of % foliar N and 67% of aboveground biomass. Spectrally estimated foliar N or aboveground biomass had negative relationships with belowground biomass and root:shoot ratio in both Schoenoplectus acutus and Typha, consistent with a balanced growth model, which suggests plants only allocate growth belowground when additional nutrients are necessary to support shoot development. Hybrid models explained up to 76% of variation in belowground biomass and 86% of variation in root:shoot ratio. Our modeling approach provides a method for developing maps of spatial variation in wetland belowground biomass.

\n

.

","language":"English","publisher":"Molecular Diversity Preservation International","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs71215837","usgsCitation":"Jessica L. O'Connell, Byrd, K.B., and Kelly, M., 2015, A hybrid model for mapping relative differences in belowground biomass and root: Shoot ratios using spectral reflectance, foliar N and plant biophysical data within coastal marsh: Remote Sensing, v. 12, no. 7, p. 16480-16503, https://doi.org/10.3390/rs71215837.","productDescription":"24 p.","startPage":"16480","endPage":"16503","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059688","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs71215837","text":"Publisher Index Page"},{"id":318288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mayberry Slough, Sacramento-San Joaquin River Delta, Sherman Island, Twitchell Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.6,\n 38.2\n ],\n [\n -121.6,\n 38\n ],\n [\n -121.8,\n 38\n ],\n [\n -121.8,\n 38.2\n ],\n [\n -121.6,\n 38.2\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-05","publicationStatus":"PW","scienceBaseUri":"56cc3f3ce4b059daa47e4388","contributors":{"authors":[{"text":"Jessica L. O'Connell","contributorId":167125,"corporation":false,"usgs":false,"family":"Jessica L. O'Connell","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":621138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":621137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Maggi","contributorId":150360,"corporation":false,"usgs":false,"family":"Kelly","given":"Maggi","email":"","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":621139,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159476,"text":"ofr20151206 - 2015 - Coastwide Reference Monitoring System (CRMS) Vegetation Volume Index: An assessment tool for marsh habitat focused on the three-dimensional structure at CRMS vegetation monitoring stations","interactions":[],"lastModifiedDate":"2015-12-07T08:57:56","indexId":"ofr20151206","displayToPublicDate":"2015-12-04T11:30:00","publicationYear":"2015","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":"2015-1206","title":"Coastwide Reference Monitoring System (CRMS) Vegetation Volume Index: An assessment tool for marsh habitat focused on the three-dimensional structure at CRMS vegetation monitoring stations","docAbstract":"

A Vegetation Volume (VV) variable and Vegetation Volume Index (VVI) have been developed for the Coastwide Reference Monitoring System (CRMS). The VV is a measure of the amount of three-dimensional vegetative structure present at each CRMS site and is based on vegetation data collected annually. The VV uses 10 stations per CRMS site to quantify four vegetation layers: carpet, herbaceous, shrub, and tree. For each layer an overall live vegetation percent cover and height are collected to create a layer volume; the individual layer volumes are then summed to generate a site vegetation volume profile. The VV uses the two-dimensional area of live vegetative cover (in square meters) multiplied by the height (in meters) of each layer to produce a volume (in cubic meters) for each layer present in a 2-meter by 2-meter station. These layers are additive, yielding a total volume for each of the 10 herbaceous vegetation stations and an overall CRMS marsh site average.

\n

The VV is an assessment of the quantity of vegetation present and is directly related to plant community structure. The VV differs from the previously developed Floristic Quality Index (FQI) in that the VV makes no assumptions about vegetation quality, giving each species equal weight; the FQI scores species with consistent site fidelity more favorably. We adapted the VV data into the VVI, which creates a representative score for all coastal marsh types. A VV and VVI will be generated annually for CRMS site, project, and basin-level analysis. The index is designed to assess areas undergoing habitat conversion, creation, and disturbance and to document project effectiveness when goals are to create, increase, or maintain emergent vegetation.

\n

The VV and VVI will be used to establish trends, to make comparisons, and to evaluate restoration projects. Assessments that rely on the VVI will be included in appropriate Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) project reports and analyses. Implementation of the VVI will give coastal managers a new tool to design, implement, and monitor coastal restoration projects. A yearly trajectory of site, project, basin, and coastwide VVI will be posted on the CRMS Web site as data are collected. The primary purpose of the tool is to assess CWPPRA restoration project effectiveness, but it will also be useful in identifying areas in need of restoration and in coastwide vegetation assessments.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151206","collaboration":"Prepared in cooperation with the Coastal Wetlands Planning, Protection and Restoration Act Task Force","usgsCitation":"Wood, W.B., Visser, J.M., Piazza, S.C., Sharp, L.A., Hundy, L.C., and McGinnis, T.E., 2015, Coastwide Reference Monitoring System (CRMS) Vegetation Volume Index—An assessment tool for marsh habitat focused on the three-dimensional structure at CRMS vegetation monitoring stations: U.S. Geological Survey Open-File Report 2015–1206, 14 p., https://dx.doi.org/10.3133/ofr20151206.","productDescription":"iv, 14 p.","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065105","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":311813,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1206/coverthb.jpg"},{"id":311814,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1206/ofr20151206.pdf","text":"Report","size":"2.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1206"}],"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 -93.944091796875,\n 28.92163128242129\n ],\n [\n -93.944091796875,\n 30.609549797190844\n ],\n [\n -88.96728515624999,\n 30.609549797190844\n ],\n [\n -88.96728515624999,\n 28.92163128242129\n ],\n [\n -93.944091796875,\n 28.92163128242129\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Wetland and Aquatic Research Center
U.S. Geological Survey
700 Cajundome Blvd
Lafayette, LA 70506
http://www.nwrc.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2015-12-04","noUsgsAuthors":false,"publicationDate":"2015-12-04","publicationStatus":"PW","scienceBaseUri":"5662b931e4b06a3ea36c679c","contributors":{"authors":[{"text":"Wood, William B.","contributorId":149675,"corporation":false,"usgs":false,"family":"Wood","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":17778,"text":"Coastal Protection and Restoration Authority of Louisiana","active":true,"usgs":false}],"preferred":false,"id":579127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Visser, Jenneke M.","contributorId":90397,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":579128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piazza, Sarai C. 0000-0001-6962-9008 piazzas@usgs.gov","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":466,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","email":"piazzas@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":579126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharp, Leigh A.","contributorId":43879,"corporation":false,"usgs":true,"family":"Sharp","given":"Leigh A.","affiliations":[],"preferred":false,"id":579129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hundy, Laura C.","contributorId":149676,"corporation":false,"usgs":false,"family":"Hundy","given":"Laura","email":"","middleInitial":"C.","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":579130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGinnis, Tommy E.","contributorId":149677,"corporation":false,"usgs":false,"family":"McGinnis","given":"Tommy E.","affiliations":[{"id":17778,"text":"Coastal Protection and Restoration Authority of Louisiana","active":true,"usgs":false}],"preferred":false,"id":579131,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191891,"text":"70191891 - 2015 - Underwater videography outperforms above-water videography and in-person surveys for monitoring the spawning of Devils Hole Pupfish","interactions":[],"lastModifiedDate":"2017-10-18T16:30:19","indexId":"70191891","displayToPublicDate":"2015-12-04T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Underwater videography outperforms above-water videography and in-person surveys for monitoring the spawning of Devils Hole Pupfish","docAbstract":"

The monitoring of threatened and endangered fishes in remote environments continues to challenge fisheries biologists. The endangered Devils Hole Pupfish Cyprinodon diabolis, which is confined to a single warm spring in Death Valley National Park, California–Nevada, has recently experienced record declines, spurring renewed conservation and recovery efforts. In February–December 2010, we investigated the timing and frequency of spawning in the species' native habitat by using three survey methods: underwater videography, above-water videography, and in-person surveys. Videography methods incorporated fixed-position, solar-powered cameras to record continuous footage of a shallow rock shelf that Devils Hole Pupfish use for spawning. In-person surveys were conducted from a platform placed above the water's surface. The underwater camera recorded more overall spawning throughout the year (mean ± SE = 0.35 ± 0.06 events/sample) than the above-water camera (0.11 ± 0.03 events/sample). Underwater videography also recorded more peak-season spawning (March: 0.83 ± 0.18 events/sample; April: 2.39 ± 0.47 events/sample) than above-water videography (March: 0.21 ± 0.10 events/sample; April: 0.9 ± 0.32 events/sample). Although the overall number of spawning events per sample did not differ significantly between underwater videography and in-person surveys, underwater videography provided a larger data set with much less variability than data from in-person surveys. Fixed videography was more cost efficient than in-person surveys (\\$1.31 versus \\$605 per collected data-hour), and underwater videography provided more usable data than above-water videography. Furthermore, video data collection was possible even under adverse conditions, such as the extreme temperatures of the region, and could be maintained successfully with few study site visits. Our results suggest that self-contained underwater cameras can be efficient tools for monitoring remote and sensitive aquatic ecosystems.

","language":"English","publisher":"Informa UK Limited","doi":"10.1080/02755947.2015.1094155","usgsCitation":"Chaudoin, A.L., Feuerbacher, O., Bonar, S.A., and Barrett, P.J., 2015, Underwater videography outperforms above-water videography and in-person surveys for monitoring the spawning of Devils Hole Pupfish: North American Journal of Fisheries Management, v. 35, no. 6, p. 1252-1262, https://doi.org/10.1080/02755947.2015.1094155.","productDescription":"11 p.","startPage":"1252","endPage":"1262","ipdsId":"IP-069027","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Ash Meadows National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.29220902919769,\n 36.42484356033192\n ],\n [\n -116.29077136516571,\n 36.42484356033192\n ],\n [\n -116.29077136516571,\n 36.42601761391104\n ],\n [\n -116.29220902919769,\n 36.42601761391104\n ],\n [\n -116.29220902919769,\n 36.42484356033192\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-04","publicationStatus":"PW","scienceBaseUri":"59e8683ae4b05fe04cd4d222","contributors":{"authors":[{"text":"Chaudoin, Ambre L.","contributorId":197535,"corporation":false,"usgs":false,"family":"Chaudoin","given":"Ambre","email":"","middleInitial":"L.","affiliations":[{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":713691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feuerbacher, Olin","contributorId":187760,"corporation":false,"usgs":false,"family":"Feuerbacher","given":"Olin","affiliations":[],"preferred":false,"id":713692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrett, Paul J.","contributorId":187761,"corporation":false,"usgs":false,"family":"Barrett","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713693,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159961,"text":"70159961 - 2015 - Using a Bayesian network to predict barrier island geomorphologic characteristics","interactions":[],"lastModifiedDate":"2016-01-25T16:10:29","indexId":"70159961","displayToPublicDate":"2015-12-04T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Using a Bayesian network to predict barrier island geomorphologic characteristics","docAbstract":"

Quantifying geomorphic variability of coastal environments is important for understanding and describing the vulnerability of coastal topography, infrastructure, and ecosystems to future storms and sea level rise. Here we use a Bayesian network (BN) to test the importance of multiple interactions between barrier island geomorphic variables. This approach models complex interactions and handles uncertainty, which is intrinsic to future sea level rise, storminess, or anthropogenic processes (e.g., beach nourishment and other forms of coastal management). The BN was developed and tested at Assateague Island, Maryland/Virginia, USA, a barrier island with sufficient geomorphic and temporal variability to evaluate our approach. We tested the ability to predict dune height, beach width, and beach height variables using inputs that included longer-term, larger-scale, or external variables (historical shoreline change rates, distances to inlets, barrier width, mean barrier elevation, and anthropogenic modification). Data sets from three different years spanning nearly a decade sampled substantial temporal variability and serve as a proxy for analysis of future conditions. We show that distinct geomorphic conditions are associated with different long-term shoreline change rates and that the most skillful predictions of dune height, beach width, and beach height depend on including multiple input variables simultaneously. The predictive relationships are robust to variations in the amount of input data and to variations in model complexity. The resulting model can be used to evaluate scenarios related to coastal management plans and/or future scenarios where shoreline change rates may differ from those observed historically.

","language":"English","publisher":"Wiley","doi":"10.1002/2015JF003671","usgsCitation":"Gutierrez, B.T., Plant, N.G., Thieler, E.R., and Turecek, A., 2015, Using a Bayesian network to predict barrier island geomorphologic characteristics: Journal of Geophysical Research, v. 120, no. 12, p. 2452-2475, https://doi.org/10.1002/2015JF003671.","productDescription":"24 p.","startPage":"2452","endPage":"2475","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049088","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jf003671","text":"Publisher Index Page"},{"id":311958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland and Virginia","otherGeospatial":"Assateague Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.1025390625,\n 38.32334305552793\n ],\n [\n -75.157470703125,\n 38.23710146774334\n ],\n [\n -75.19317626953125,\n 38.18098951438852\n ],\n [\n -75.1959228515625,\n 38.13239618602296\n ],\n [\n -75.27008056640625,\n 38.05566088242076\n ],\n [\n -75.29754638671875,\n 38.00698412839117\n ],\n [\n -75.31539916992188,\n 37.97234987199528\n ],\n [\n -75.33187866210936,\n 37.93553306183642\n ],\n [\n -75.3826904296875,\n 37.90411590881245\n ],\n [\n -75.39779663085938,\n 37.86943313301452\n ],\n [\n -75.39230346679688,\n 37.84883250647402\n ],\n [\n -75.3497314453125,\n 37.86509663749013\n ],\n [\n -75.1739501953125,\n 38.11943249695316\n ],\n [\n -75.08880615234375,\n 38.3211882645322\n ],\n [\n -75.09292602539062,\n 38.32765244536364\n ],\n [\n -75.1025390625,\n 38.32334305552793\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-04","publicationStatus":"PW","scienceBaseUri":"5662b935e4b06a3ea36c679e","chorus":{"doi":"10.1002/2015jf003671","url":"http://dx.doi.org/10.1002/2015jf003671","publisher":"Wiley-Blackwell","authors":"Gutierrez Benjamin T., Plant Nathaniel G., Thieler E. Robert, Turecek Aaron","journalName":"Journal of Geophysical Research: Earth Surface","publicationDate":"12/2015"},"contributors":{"authors":[{"text":"Gutierrez, Benjamin T. 0000-0002-1879-7893 bgutierrez@usgs.gov","orcid":"https://orcid.org/0000-0002-1879-7893","contributorId":2924,"corporation":false,"usgs":true,"family":"Gutierrez","given":"Benjamin","email":"bgutierrez@usgs.gov","middleInitial":"T.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":581202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":581203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":581204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turecek, Aaron aturecek@usgs.gov","contributorId":4940,"corporation":false,"usgs":true,"family":"Turecek","given":"Aaron","email":"aturecek@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":581205,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159920,"text":"70159920 - 2015 - Paleoreconstruction of organic carbon inputs to an oxbow lake in the Mississippi River watershed: Effects of dam construction and land use change on regional inputs","interactions":[],"lastModifiedDate":"2015-12-03T15:54:03","indexId":"70159920","displayToPublicDate":"2015-12-03T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Paleoreconstruction of organic carbon inputs to an oxbow lake in the Mississippi River watershed: Effects of dam construction and land use change on regional inputs","docAbstract":"

We use a dated sediment core from Lake Whittington (USA) in the lower Mississippi River to reconstruct linkages in the carbon cycling and fluvial sediment dynamics over the past 80 years. Organic carbon (OC) sources were characterized using bulk (δ13C, ramped pyrolysis-oxidation (PyrOx) 14C, δ15N, and TN:OC ratios) and compound-specific (lignin phenols and fatty acids, including δ13C and 14C of the fatty acids) analyses. Damming of the Missouri River in the 1950s, other hydrological modifications to the river, and soil conservation measures resulted in reduced net OC export, in spite of increasing OC concentrations. Decreasing δ13C values coincided with increases in δ15N, TN:OC ratios, long-chain fatty acids, and lignin-phenol concentrations, suggesting increased inputs of soil-derived OC dominated by C3 vegetation, mainly resulting from changes in farming practices and crop distribution. However, ramped PyrOx 14C showed no discernible differences downcore in thermochemical stability, indicating a limited impact on soil OC turnover.

","language":"English","publisher":"AGU","doi":"10.1002/2015GL065595","usgsCitation":"Bianchi, T.S., Galy, V., Rosenheim, B.E., Shields, M., Cui, X., and Van Metre, P., 2015, Paleoreconstruction of organic carbon inputs to an oxbow lake in the Mississippi River watershed: Effects of dam construction and land use change on regional inputs: Geophysical Research Letters, v. 42, no. 19, p. 7983-7991, https://doi.org/10.1002/2015GL065595.","productDescription":"9 p.","startPage":"7983","endPage":"7991","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066306","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":471580,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl065595","text":"Publisher Index Page"},{"id":311893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Lake Whittington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.15837097167967,\n 33.65420905128059\n ],\n [\n -91.15837097167967,\n 33.72334023851457\n ],\n [\n -91.02739334106445,\n 33.72334023851457\n ],\n [\n -91.02739334106445,\n 33.65420905128059\n ],\n [\n -91.15837097167967,\n 33.65420905128059\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"19","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-10","publicationStatus":"PW","scienceBaseUri":"566167b9e4b06a3ea36c5663","contributors":{"authors":[{"text":"Bianchi, Thomas S.","contributorId":150225,"corporation":false,"usgs":false,"family":"Bianchi","given":"Thomas","email":"","middleInitial":"S.","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":581051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galy, Valier","contributorId":150226,"corporation":false,"usgs":false,"family":"Galy","given":"Valier","email":"","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":581052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenheim, Brad E.","contributorId":150227,"corporation":false,"usgs":false,"family":"Rosenheim","given":"Brad","email":"","middleInitial":"E.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":581053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shields, Michael","contributorId":150228,"corporation":false,"usgs":false,"family":"Shields","given":"Michael","email":"","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":581054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cui, Xingquan","contributorId":150229,"corporation":false,"usgs":false,"family":"Cui","given":"Xingquan","email":"","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":581055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":581050,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159928,"text":"70159928 - 2015 - Evaluation of a formula that categorizes female gray wolf breeding status by nipple size","interactions":[],"lastModifiedDate":"2017-09-08T10:20:22","indexId":"70159928","displayToPublicDate":"2015-12-03T15:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a formula that categorizes female gray wolf breeding status by nipple size","docAbstract":"

The proportion by age class of wild Canis lupus (Gray Wolf) females that reproduce in any given year remains unclear; thus, we evaluated the applicability to our long-term (1972–2013) data set of the Mech et al. (1993) formula that categorizes female Gray Wolf breeding status by nipple size and time of year. We used the formula to classify Gray Wolves from 68 capture events into 4 categories (yearling, adult non-breeder, former breeder, current breeder). To address issues with small sample size and variance, we created an ambiguity index to allow some Gray Wolves to be classed into 2 categories. We classified 20 nipple measurements ambiguously: 16 current or former breeder, 3 former or adult non-breeder, and 1 yearling or adult non-breeder. The formula unambiguously classified 48 (71%) of the nipple measurements; based on supplemental field evidence, at least 5 (10%) of these were incorrect. When used in conjunction with an ambiguity index we developed and with corrections made for classifications involving very large nipples, and supplemented with available field evidence, the Mech et al. (1993) formula provided reasonably reliable classification of breeding status in wild female Gray Wolves.

","language":"English","publisher":"Northeastern Naturalist","doi":"10.1656/045.022.0402","usgsCitation":"Barber-Meyer, S., and Mech, L.D., 2015, Evaluation of a formula that categorizes female gray wolf breeding status by nipple size: Northeastern Naturalist, v. 22, no. 4, p. 652-657, https://doi.org/10.1656/045.022.0402.","productDescription":"6 p.","startPage":"652","endPage":"657","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060793","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":311887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Superior National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.812744140625,\n 47.58764167941513\n ],\n [\n -90.0274658203125,\n 47.58764167941513\n ],\n [\n -90.0274658203125,\n 48.17707562779612\n ],\n [\n -91.812744140625,\n 48.17707562779612\n ],\n [\n -91.812744140625,\n 47.58764167941513\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-18","publicationStatus":"PW","scienceBaseUri":"566167b9e4b06a3ea36c565f","contributors":{"authors":[{"text":"Barber-Meyer, Shannon M. 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":147904,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon M.","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":581093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":581094,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159909,"text":"70159909 - 2015 - Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra","interactions":[],"lastModifiedDate":"2018-10-24T16:48:05","indexId":"70159909","displayToPublicDate":"2015-12-03T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra","title":"Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra","docAbstract":"

The recent surge of megathrust earthquakes and tsunami disasters has highlighted the need for a comprehensive understanding of earthquake cycles along convergent plate boundaries. Space geodesy has been used to document recent crustal deformation patterns with unprecedented precision, however the production of long paleogeodetic records of vertical seafloor motion is still a major challenge. Here we show that carbon isotope ratios (\"View) in the skeletons of massive Porites   corals from west Sumatra record abrupt changes in light exposure resulting from coseismic seafloor displacements. Validation of the method is based on the coral \"View response to uplift (and subsidence) produced by the March 2005 Mw 8.6 Nias–Simeulue earthquake, and uplift further south around Sipora Island during a M∼8.4 megathrust earthquake in February 1797. At Nias, the average step-change in coral \"View was 0.6±0.1‰/m for coseismic displacements of +1.8 m and −0.4 m in 2005. At Sipora, a distinct change in Porites  microatoll growth morphology marks coseismic uplift of 0.7 m in 1797. In this shallow water setting, with a steep light attenuation gradient, the step-change in microatoll \"View is2.3‰/m, nearly four times greater than for the Nias Porites  . Considering the natural variability in coral skeletal \"View, we show that the lower detection limit of the method is around 0.2 m of vertical seafloor motion. Analysis of vertical displacement for well-documented earthquakes suggests this sensitivity equates to shallow events exceedingMw∼7.2 in central megathrust and back-arc thrust fault settings. Our findings indicate that the coral \"View paleogeodesy technique could be applied to convergent tectonic margins throughout the tropical western Pacific and eastern Indian oceans, which host prolific coral reefs, and some of the world's greatest earthquake catastrophes. While our focus here is the link between coral \"View, light exposure and coseismic crustal deformation, the same principles could be used to characterize interseismic strain during earthquake cycles over the last several millennia.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2015.10.002","usgsCitation":"Gagan, M.K., Sosdian, S.M., Scott-Gagan, H., Sieh, K., Hantoro, W.S., Natawidjaja, D.H., Briggs, R.W., Suwargadi, B.W., and Rifai, H., 2015, Coral 13C/12C records of vertical seafloor displacement during megathrust earthquakes west of Sumatra: Earth and Planetary Science Letters, v. 432, p. 461-471, https://doi.org/10.1016/j.epsl.2015.10.002.","productDescription":"11 p.","startPage":"461","endPage":"471","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069679","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":311886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 95.4052734375,\n -4.696879026871413\n ],\n [\n 102.0849609375,\n -4.696879026871413\n ],\n [\n 102.0849609375,\n 3.1076061013287033\n ],\n [\n 95.4052734375,\n 3.1076061013287033\n ],\n [\n 95.4052734375,\n -4.696879026871413\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"432","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167b7e4b06a3ea36c5659","contributors":{"authors":[{"text":"Gagan, Michael K.","contributorId":150200,"corporation":false,"usgs":false,"family":"Gagan","given":"Michael","email":"","middleInitial":"K.","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":581095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sosdian, Sindia M.","contributorId":150201,"corporation":false,"usgs":false,"family":"Sosdian","given":"Sindia","email":"","middleInitial":"M.","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":581096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott-Gagan, Heather","contributorId":150202,"corporation":false,"usgs":false,"family":"Scott-Gagan","given":"Heather","email":"","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":581097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sieh, Kerry","contributorId":7280,"corporation":false,"usgs":true,"family":"Sieh","given":"Kerry","affiliations":[],"preferred":false,"id":581098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hantoro, Wahyoe S.","contributorId":150203,"corporation":false,"usgs":false,"family":"Hantoro","given":"Wahyoe","email":"","middleInitial":"S.","affiliations":[{"id":17941,"text":"Indonesian Institute of Sciences","active":true,"usgs":false}],"preferred":false,"id":581099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Natawidjaja, Danny H.","contributorId":150204,"corporation":false,"usgs":false,"family":"Natawidjaja","given":"Danny","email":"","middleInitial":"H.","affiliations":[{"id":17941,"text":"Indonesian Institute of Sciences","active":true,"usgs":false}],"preferred":false,"id":581100,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":581101,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Suwargadi, Bambang W.","contributorId":150205,"corporation":false,"usgs":false,"family":"Suwargadi","given":"Bambang","email":"","middleInitial":"W.","affiliations":[{"id":17941,"text":"Indonesian Institute of Sciences","active":true,"usgs":false}],"preferred":false,"id":581102,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rifai, Hamdi","contributorId":150206,"corporation":false,"usgs":false,"family":"Rifai","given":"Hamdi","affiliations":[{"id":17942,"text":"State University of Padang","active":true,"usgs":false}],"preferred":false,"id":581103,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70159914,"text":"70159914 - 2015 - Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations","interactions":[],"lastModifiedDate":"2017-01-18T09:55:38","indexId":"70159914","displayToPublicDate":"2015-12-03T15:00:00","publicationYear":"2015","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":"Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations","docAbstract":"

Accurately estimating aboveground vegetation biomass productivity is essential for local ecosystem assessment and best land management practice. Satellite-derived growing season time-integrated Normalized Difference Vegetation Index (GSN) has been used as a proxy for vegetation biomass productivity. A 250-m grassland biomass productivity map for the Greater Platte River Basin had been developed based on the relationship between Moderate Resolution Imaging Spectroradiometer (MODIS) GSN and Soil Survey Geographic (SSURGO) annual grassland productivity. However, the 250-m MODIS grassland biomass productivity map does not capture detailed ecological features (or patterns) and may result in only generalized estimation of the regional total productivity. Developing a high or moderate spatial resolution (e.g., 30-m) productivity map to better understand the regional detailed vegetation condition and ecosystem services is preferred. The 30-m Landsat data provide spatial detail for characterizing human-scale processes and have been successfully used for land cover and land change studies. The main goal of this study is to develop a 30-m grassland biomass productivity estimation map for central Nebraska, leveraging 250-m MODIS GSN and 30-m Landsat data. A rule-based piecewise regression GSN model based on MODIS and Landsat (r = 0.91) was developed, and a 30-m MODIS equivalent GSN map was generated. Finally, a 30-m grassland biomass productivity estimation map, which provides spatially detailed ecological features and conditions for central Nebraska, was produced. The resulting 30-m grassland productivity map was generally supported by the SSURGO biomass production map and will be useful for regional ecosystem study and local land management practices.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2015.10.018","usgsCitation":"Gu, Y., and Wylie, B.K., 2015, Developing a 30-m grassland productivity estimation map for central Nebraska using 250-m MODIS and 30-m Landsat-8 observations: Remote Sensing of Environment, v. 171, p. 291-298, https://doi.org/10.1016/j.rse.2015.10.018.","productDescription":"8 p.","startPage":"291","endPage":"298","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068578","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":311883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.162353515625,\n 41.00477542222949\n ],\n [\n -100.162353515625,\n 42.52879629320373\n ],\n [\n -96.624755859375,\n 42.52879629320373\n ],\n [\n -96.624755859375,\n 41.00477542222949\n ],\n [\n -100.162353515625,\n 41.00477542222949\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"171","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566167b8e4b06a3ea36c565b","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":581015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":581016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159917,"text":"70159917 - 2015 - Classification of ephemeral, intermittent, and perennial stream reaches using a TOPMODEL-based approach","interactions":[],"lastModifiedDate":"2019-06-03T13:22:56","indexId":"70159917","displayToPublicDate":"2015-12-03T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Classification of ephemeral, intermittent, and perennial stream reaches using a TOPMODEL-based approach","docAbstract":"

Whether a waterway is temporary or permanent influences regulatory protection guidelines, however, classification can be subjective due to a combination of factors, including time of year, antecedent moisture conditions, and previous experience of the field investigator. Our objective was to develop a standardized protocol using publicly available spatial information to classify ephemeral, intermittent, and perennial streams. Our hypothesis was that field observations of flow along the stream channel could be compared to results from a hydrologic model, providing an objective method of how these stream reaches can be identified. Flow-state sensors were placed at ephemeral, intermittent, and perennial stream reaches from May to December 2011 in the Appalachian coal basin of eastern Kentucky. This observed flow record was then used to calibrate the simulated saturation deficit in each channel reach based on the topographic wetness index used by TOPMODEL. Saturation deficit values were categorized as flow or no-flow days, and the simulated record of streamflow was compared to the observed record. The hydrologic model was more accurate for simulating flow during the spring and fall seasons. However, the model effectively identified stream reaches as intermittent and perennial in each of the two basins.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12352","usgsCitation":"Williamson, T., Agouridis, C.T., Barton, C.D., Villines, J.A., and Lant, J.G., 2015, Classification of ephemeral, intermittent, and perennial stream reaches using a TOPMODEL-based approach: Journal of the American Water Resources Association, v. 51, no. 6, p. 1739-1759, https://doi.org/10.1111/1752-1688.12352.","productDescription":"21 p.","startPage":"1739","endPage":"1759","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051282","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":311879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-18","publicationStatus":"PW","scienceBaseUri":"566167b7e4b06a3ea36c5655","contributors":{"authors":[{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":581038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agouridis, Carmen T. 0000-0001-9580-6143","orcid":"https://orcid.org/0000-0001-9580-6143","contributorId":150223,"corporation":false,"usgs":false,"family":"Agouridis","given":"Carmen","email":"","middleInitial":"T.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":581040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barton, Christopher D.","contributorId":150222,"corporation":false,"usgs":false,"family":"Barton","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":581039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villines, Jonathan A.","contributorId":150224,"corporation":false,"usgs":false,"family":"Villines","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":581041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lant, Jeremiah G. 0000-0001-6688-4820 jlant@usgs.gov","orcid":"https://orcid.org/0000-0001-6688-4820","contributorId":4912,"corporation":false,"usgs":true,"family":"Lant","given":"Jeremiah","email":"jlant@usgs.gov","middleInitial":"G.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":581042,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}