We investigated the association of grassland birds with field- and landscape-level habitat variables in south-central Wisconsin during 1985–1987. Landscape-level variables were measured and digitized at 200, 400 and 800 m from the perimeter of 38 200 m × 100 m strip transects. A mixture of field and landscape variables was associated with the density of savannah sparrow (Passerculus sandwichensis) and grasshopper sparrow (Ammodramus savannarum). Only landscape variables were associated with the density of bobolink (Dolichonyx oryzivorus), eastern meadowlark (Sturnella magna) and all birds that were grassland species of management concern. Field size was not an important predictor of bird density. Cover-type diversity of the surrounding area was commonly selected in the models for three species and all birds that were grassland species of management concern. Higher bird densities in the transects were associated with landscapes where the cover types were less diverse. Landscapes with low cover type diversity were dominated by grassland, pasture and hay. Field habitat, mean patch size of cover types and distance to woody vegetation were the next most common predictors of avian density. The density of some grassland birds increased as nonlinear woody features such as woodlots and shrub carrs decreased in patch size, decreased in total amount in the landscape and increased in distance from a transect. However, density of other species was positively associated with linear woody features such as the total amount and nearness of hedgerows. The composition of the surrounding landscape, at least out to 800 m, is important in grassland bird management.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031(2001)146[0105:AOGBWL]2.0.CO;2","usgsCitation":"Ribic, C., and Sample, D.W., 2001, Associations of grassland birds with landscape factors in southern Wisconsin: American Midland Naturalist, v. 146, no. 1, p. 105-121, https://doi.org/10.1674/0003-0031(2001)146[0105:AOGBWL]2.0.CO;2.","productDescription":"17 p.","startPage":"105","endPage":"121","numberOfPages":"17","costCenters":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"links":[{"id":231993,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Columbia County, Dane County, Grant County, Green County, Jefferson County, Marquette County, Sauk County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-89.2453,43.643],[-89.127,43.6436],[-89.1271,43.6318],[-89.007,43.6332],[-89.0063,43.548],[-89.0044,43.4616],[-89.0038,43.3737],[-89.0088,43.3738],[-89.0094,43.286],[-89.0084,43.2555],[-89.0094,43.2],[-88.8919,43.1995],[-88.7732,43.1998],[-88.6563,43.1986],[-88.5401,43.1978],[-88.5407,43.111],[-88.5407,43.0232],[-88.5413,42.9341],[-88.5413,42.8445],[-88.66,42.8453],[-88.7757,42.8455],[-88.8951,42.8457],[-89.0119,42.8471],[-89.132,42.8479],[-89.2488,42.8478],[-89.3689,42.8484],[-89.3677,42.7743],[-89.3671,42.7607],[-89.3666,42.6906],[-89.3667,42.677],[-89.3656,42.5998],[-89.3656,42.5907],[-89.3645,42.5029],[-89.4018,42.503],[-89.4031,42.503],[-89.4537,42.5038],[-89.4883,42.5044],[-89.5693,42.5057],[-89.6811,42.5074],[-89.803,42.5077],[-89.8379,42.5076],[-89.8377,42.5975],[-89.8375,42.6857],[-89.8373,42.7735],[-89.8375,42.8135],[-89.8377,42.8598],[-89.8375,42.9471],[-89.8386,43.0317],[-89.8384,43.1181],[-89.8394,43.205],[-89.8432,43.2004],[-89.8544,43.1936],[-89.8613,43.1936],[-89.8664,43.1954],[-89.8859,43.1967],[-89.8946,43.1935],[-89.9047,43.1875],[-89.9304,43.1897],[-89.9487,43.1933],[-89.9637,43.1919],[-89.9845,43.1964],[-89.9933,43.1968],[-90.0071,43.1945],[-90.0165,43.1899],[-90.0309,43.1816],[-90.0359,43.1757],[-90.0415,43.1716],[-90.0515,43.1665],[-90.0552,43.1624],[-90.0564,43.1588],[-90.0589,43.1488],[-90.0607,43.146],[-90.0651,43.1465],[-90.0708,43.1505],[-90.0803,43.1591],[-90.0872,43.1618],[-90.1017,43.1609],[-90.1111,43.1622],[-90.1212,43.1649],[-90.1582,43.1665],[-90.1683,43.1651],[-90.1776,43.16],[-90.1858,43.1613],[-90.1946,43.1659],[-90.1944,43.2059],[-90.1947,43.2932],[-90.1949,43.3801],[-90.1946,43.4675],[-90.1923,43.5549],[-90.311,43.5538],[-90.3127,43.6407],[-90.1919,43.6418],[-90.0724,43.642],[-89.9548,43.6411],[-89.8384,43.6409],[-89.7866,43.6411],[-89.779,43.6411],[-89.7195,43.643],[-89.6,43.6427],[-89.5995,43.7306],[-89.5978,43.818],[-89.5972,43.8945],[-89.598,43.9824],[-89.4823,43.982],[-89.3654,43.9824],[-89.2472,43.9827],[-89.1658,43.983],[-89.1651,43.8759],[-89.1975,43.876],[-89.1977,43.8127],[-89.1977,43.8109],[-89.199,43.8077],[-89.1971,43.8045],[-89.194,43.8022],[-89.1902,43.8013],[-89.1851,43.8022],[-89.1749,43.8076],[-89.168,43.8099],[-89.1682,43.7625],[-89.1713,43.7635],[-89.1751,43.7639],[-89.1834,43.7621],[-89.1897,43.7617],[-89.2176,43.7626],[-89.2201,43.7604],[-89.2227,43.7604],[-89.2296,43.7649],[-89.241,43.7636],[-89.243,43.759],[-89.2455,43.7572],[-89.2456,43.7304],[-89.2453,43.643]]],[[[-90.4325,43.1989],[-90.4308,43.1212],[-90.4302,43.0334],[-90.4297,42.9465],[-90.4285,42.8583],[-90.4285,42.8142],[-90.428,42.7715],[-90.4274,42.6842],[-90.4269,42.5979],[-90.4276,42.5081],[-90.6204,42.5091],[-90.6354,42.5094],[-90.636,42.5094],[-90.6415,42.5093],[-90.6363,42.5146],[-90.6342,42.5191],[-90.6347,42.5241],[-90.6376,42.5317],[-90.6395,42.5371],[-90.642,42.5416],[-90.6465,42.5461],[-90.6517,42.5491],[-90.659,42.5542],[-90.6635,42.5587],[-90.6667,42.5639],[-90.6693,42.5705],[-90.6718,42.5759],[-90.6777,42.5849],[-90.6825,42.5937],[-90.6858,42.5984],[-90.6875,42.603],[-90.6886,42.6076],[-90.69,42.613],[-90.6926,42.618],[-90.6954,42.6227],[-90.7002,42.6293],[-90.7019,42.6311],[-90.706,42.6356],[-90.7134,42.64],[-90.7217,42.6423],[-90.7301,42.6449],[-90.7369,42.6464],[-90.7461,42.6479],[-90.7561,42.6491],[-90.7629,42.6506],[-90.7755,42.6531],[-90.7924,42.6553],[-90.8068,42.6583],[-90.8205,42.6604],[-90.8405,42.6634],[-90.8669,42.6695],[-90.8768,42.6715],[-90.8899,42.6733],[-90.896,42.6753],[-90.8985,42.6761],[-90.9065,42.6785],[-90.9108,42.68],[-90.9169,42.6821],[-90.9226,42.6843],[-90.9276,42.6856],[-90.9332,42.6856],[-90.9382,42.685],[-90.9413,42.685],[-90.9482,42.6858],[-90.9542,42.6872],[-90.9601,42.6898],[-90.9677,42.6929],[-90.9734,42.6956],[-90.98,42.6995],[-90.9841,42.7036],[-90.9903,42.7074],[-90.998,42.7121],[-91.0075,42.7161],[-91.0182,42.7205],[-91.0226,42.7227],[-91.0259,42.7245],[-91.0264,42.7249],[-91.0283,42.7263],[-91.0301,42.7291],[-91.03,42.7314],[-91.0305,42.7341],[-91.0323,42.7358],[-91.0354,42.7371],[-91.0392,42.7375],[-91.0417,42.7375],[-91.0447,42.7376],[-91.0467,42.7379],[-91.0492,42.7383],[-91.0517,42.7397],[-91.0543,42.7428],[-91.0549,42.7446],[-91.0549,42.746],[-91.0563,42.7478],[-91.0582,42.7485],[-91.0587,42.7487],[-91.0613,42.75],[-91.0632,42.7523],[-91.0638,42.754],[-91.0639,42.7545],[-91.0634,42.7561],[-91.0621,42.7591],[-91.062,42.762],[-91.0629,42.7645],[-91.0649,42.767],[-91.0667,42.7698],[-91.0688,42.7736],[-91.0696,42.7771],[-91.0713,42.7826],[-91.0735,42.7913],[-91.0763,42.8],[-91.0776,42.8103],[-91.078,42.8214],[-91.0781,42.8294],[-91.0776,42.8339],[-91.0775,42.8373],[-91.0796,42.8398],[-91.0823,42.8424],[-91.0847,42.8437],[-91.086,42.8443],[-91.089,42.8462],[-91.0908,42.8498],[-91.0924,42.8542],[-91.0944,42.8596],[-91.0971,42.8678],[-91.0995,42.874],[-91.0999,42.875],[-91.1047,42.8824],[-91.1132,42.8885],[-91.1218,42.8927],[-91.1311,42.8965],[-91.1372,42.9007],[-91.1411,42.905],[-91.1444,42.9104],[-91.1445,42.9168],[-91.1438,42.9268],[-91.1453,42.9372],[-91.1454,42.9395],[-91.1457,42.9445],[-91.1455,42.9518],[-91.1464,42.9609],[-91.1506,42.9678],[-91.152,42.9695],[-91.1559,42.9739],[-91.1566,42.9747],[-91.1585,42.9784],[-91.1568,42.9839],[-91.1563,42.9894],[-91.1566,42.9934],[-91.1579,42.9966],[-91.139,43],[-91.1334,43.0001],[-91.1277,43.0002],[-91.1039,42.9996],[-91.0969,42.9965],[-91.07,42.9968],[-91.0569,43.001],[-91.042,43.0067],[-91.0296,43.0114],[-91.0203,43.0174],[-91.0055,43.0248],[-90.9917,43.0282],[-90.9805,43.0315],[-90.9613,43.0431],[-90.9442,43.0624],[-90.9361,43.0652],[-90.9198,43.0645],[-90.9048,43.0678],[-90.8949,43.0734],[-90.8886,43.0748],[-90.883,43.0758],[-90.8605,43.0788],[-90.8511,43.0798],[-90.8462,43.0848],[-90.8307,43.0932],[-90.8213,43.0955],[-90.8169,43.0951],[-90.8002,43.1085],[-90.789,43.1109],[-90.7677,43.1152],[-90.7546,43.1221],[-90.7447,43.1245],[-90.741,43.1327],[-90.7312,43.1428],[-90.715,43.152],[-90.7051,43.1599],[-90.7033,43.1631],[-90.6983,43.1681],[-90.6915,43.1723],[-90.684,43.1728],[-90.6733,43.1706],[-90.6682,43.1702],[-90.667,43.1702],[-90.6444,43.1754],[-90.6138,43.1843],[-90.5982,43.1917],[-90.5751,43.2015],[-90.5695,43.2034],[-90.5507,43.208],[-90.53,43.205],[-90.5105,43.2047],[-90.4953,43.2026],[-90.4802,43.2004],[-90.4645,43.2001],[-90.4576,43.1978],[-90.4519,43.1979],[-90.4375,43.1989],[-90.4325,43.1989]]]]},\"properties\":{\"name\":\"Columbia\",\"state\":\"WI\"}}]}","volume":"146","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee95e4b0c8380cd49e44","contributors":{"authors":[{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":400595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sample, D. W.","contributorId":57239,"corporation":false,"usgs":false,"family":"Sample","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":400596,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70024285,"text":"70024285 - 2001 - Origin of late Quaternary dune fields on the Southern High Plains of Texas and New Mexico","interactions":[],"lastModifiedDate":"2022-10-14T16:00:49.113201","indexId":"70024285","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Origin of late Quaternary dune fields on the Southern High Plains of Texas and New Mexico","docAbstract":"Mostly stabilized late Holocene eolian sands on the Southern High Plains of the United States were studied to determine their origins and to assess whether present dune stability depends more strongly on sediment supply, sediment availability, or transport limitations. Geomorphic, sedimentological, and geochemical trends indicate that late Holocene dunes formed under westerly paleowinds, broadly similar to those of today. Mineralogical and geochemical data indicate that the most likely source for the sands is not the Pecos River valley, but the Pleistocene Blackwater Draw Formation, an older, extensive eolian deposit in the region. These observations suggest that new sand is supplied whenever vegetation cover is diminished to the extent that the Blackwater Draw Formation can be eroded, in agreement with modern observations of wind erosion in the region. We conclude, therefore, that Southern High Plains dunes are stabilized primarily due to a vegetation cover. The dunes are thus sediment-availability limited. This conclusion is consistent with the observation that, in the warmest, driest part of the region (where vegetation cover is minimal), dunes are currently active over a large area. Geochemical data indicate that Southern High Plains dunes are the most mineralogically mature (quartz rich) sands yet studied in the Great Plains, which suggests a long history of eolian activity, either in the dune fields or during deposition of the Blackwater Draw Formation.","language":"English","publisher":"Geological Society of America","doi":"10.1130/0016-7606(2001)113<0075:OOLQDF>2.0.CO;2","issn":"00167606","usgsCitation":"Muhs, D., and Holliday, V., 2001, Origin of late Quaternary dune fields on the Southern High Plains of Texas and New Mexico: Geological Society of America Bulletin, v. 113, no. 1, p. 75-87, https://doi.org/10.1130/0016-7606(2001)113<0075:OOLQDF>2.0.CO;2.","productDescription":"13 p.","startPage":"75","endPage":"87","costCenters":[],"links":[{"id":231848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Southern High Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.83154296875,\n 30.543338954230222\n ],\n [\n -101.18408203124999,\n 30.543338954230222\n ],\n [\n -101.18408203124999,\n 35.35321610123823\n ],\n [\n -104.83154296875,\n 35.35321610123823\n ],\n [\n -104.83154296875,\n 30.543338954230222\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"113","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a70dfe4b0c8380cd762e2","contributors":{"authors":[{"text":"Muhs, D.R. 0000-0001-7449-251X","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":61460,"corporation":false,"usgs":true,"family":"Muhs","given":"D.R.","affiliations":[],"preferred":false,"id":400719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holliday, V.T.","contributorId":107048,"corporation":false,"usgs":true,"family":"Holliday","given":"V.T.","email":"","affiliations":[],"preferred":false,"id":400720,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188996,"text":"70188996 - 2001 - Using GIS to analyze animal movements in the marine environment","interactions":[],"lastModifiedDate":"2017-11-21T16:58:11","indexId":"70188996","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using GIS to analyze animal movements in the marine environment","docAbstract":"Advanced methods for analyzing animal movements have been little used in the aquatic research environment compared to the terrestrial. In addition, despite obvious advantages of integrating geographic information systems (GIS) with spatial studies of animal movement behavior, movement analysis tools have not been integrated into GIS for either aquatic or terrestrial environments. We therefore developed software that integrates one of the most commonly used GIS programs (ArcView®) with a large collection of animal movement analysis tools. This application, the Animal Movement Analyst Extension (AMAE), can be loaded as an extension to ArcView® under multiple operating system platforms (PC, Unix, and Mac OS). It contains more than 50 functions, including parametric and nonparametric home range analyses, random walk models, habitat analyses, point and circular statistics, tests of complete spatial randomness, tests for autocorrelation and sample size, point and line manipulation tools, and animation tools. This paper describes the use of these functions in analyzing animal location data; some limited examples are drawn from a sonic-tracking study of Pacific halibut (Hippoglossus stenolepis) in Glacier Bay, Alaska. The extension is available on the Internet at www.absc.usgs.gov/glba/gistools/index.htm.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Spatial processes and management of marine populations","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Lowell Wakefield Symposium: Spatial Processes and Management of Marine Populations","conferenceDate":"October 27-30, 1999","conferenceLocation":"Anchorage, AK","language":"English","publisher":"University of Alaska Sea Grant College Program","doi":"10.4027/spmmp.2001","isbn":"1-56612-068-3","usgsCitation":"Hooge, P.N., Eichenlaub, W.M., and Solomon, E.K., 2001, Using GIS to analyze animal movements in the marine environment, in Spatial processes and management of marine populations, Anchorage, AK, October 27-30, 1999, p. 37-51, https://doi.org/10.4027/spmmp.2001.","productDescription":"15 p.","startPage":"37","endPage":"51","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":478850,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/38513","text":"External Repository"},{"id":343089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publicComments":"University of Alaska Sea Grant College Program Report No. AK-SG-01-02","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965d953e4b0d1f9f05bb95e","contributors":{"editors":[{"text":"Kruse, Gordon H.","contributorId":187450,"corporation":false,"usgs":false,"family":"Kruse","given":"Gordon","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":702326,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bez, Nicolas","contributorId":33041,"corporation":false,"usgs":false,"family":"Bez","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":702327,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Booth, Anthony","contributorId":224,"corporation":false,"usgs":false,"family":"Booth","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":702328,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Dorn, Martin W.","contributorId":3517,"corporation":false,"usgs":false,"family":"Dorn","given":"Martin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":702336,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Hills, Susan","contributorId":103995,"corporation":false,"usgs":false,"family":"Hills","given":"Susan","email":"","affiliations":[],"preferred":false,"id":702337,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Lipcius, Romuald N.","contributorId":101451,"corporation":false,"usgs":false,"family":"Lipcius","given":"Romuald","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":702338,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Pelletier, Dominique","contributorId":131089,"corporation":false,"usgs":false,"family":"Pelletier","given":"Dominique","email":"","affiliations":[],"preferred":false,"id":702339,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Roy, Claude","contributorId":85923,"corporation":false,"usgs":false,"family":"Roy","given":"Claude","email":"","affiliations":[],"preferred":false,"id":702340,"contributorType":{"id":2,"text":"Editors"},"rank":8},{"text":"Smith, Stephen J.","contributorId":38926,"corporation":false,"usgs":false,"family":"Smith","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":702341,"contributorType":{"id":2,"text":"Editors"},"rank":9},{"text":"Witherell, David B.","contributorId":98169,"corporation":false,"usgs":false,"family":"Witherell","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":702342,"contributorType":{"id":2,"text":"Editors"},"rank":10}],"authors":[{"text":"Hooge, Philip N.","contributorId":52029,"corporation":false,"usgs":true,"family":"Hooge","given":"Philip","email":"","middleInitial":"N.","affiliations":[{"id":106,"text":"Alaska Biological Science Center","active":false,"usgs":true}],"preferred":false,"id":702323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eichenlaub, William M.","contributorId":138819,"corporation":false,"usgs":false,"family":"Eichenlaub","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":702324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Solomon, Elizabeth K.","contributorId":138505,"corporation":false,"usgs":false,"family":"Solomon","given":"Elizabeth","email":"","middleInitial":"K.","affiliations":[{"id":106,"text":"Alaska Biological Science Center","active":false,"usgs":true}],"preferred":false,"id":702325,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70023374,"text":"70023374 - 2001 - Effects of Land-Cover Change, Floods, and Stream Position on Geomorphic Processes - Implications for Restoration Activities","interactions":[],"lastModifiedDate":"2012-03-12T17:20:10","indexId":"70023374","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effects of Land-Cover Change, Floods, and Stream Position on Geomorphic Processes - Implications for Restoration Activities","docAbstract":"A geomorphic study for North Fish Creek, a northern Wisconsin tributary to Lake Superior was analyzed to determine the hydrologic and geomorphic changes caused by clear-cut logging and agricultural activity. Discharge magnitude estimated with HEC-2 for full-channel capacities indicate that modern full-channel discharges are about twice as large as pre-1946 full-channel discharges. Flood-plain deposition rates were high along the transitional main stem after European settlement. Restoration and protection activities would be most effective if focused on watershed practices to reduce runoff and on channel restoration that reduce buff and bank erosion in the upper and transitional main stems.","largerWorkTitle":"Proceedings of the 2001 Wetlands Engineering and River Restoration Conference","conferenceTitle":"Proceedings of the 2001 Wetlands Engineering and River Restoration Conference","conferenceDate":"27 August 2001 through 31 August 2001","conferenceLocation":"Reno, NV","language":"English","isbn":"0784405816","usgsCitation":"Fitzpatrick, F., 2001, Effects of Land-Cover Change, Floods, and Stream Position on Geomorphic Processes - Implications for Restoration Activities, in Proceedings of the 2001 Wetlands Engineering and River Restoration Conference, Reno, NV, 27 August 2001 through 31 August 2001, p. 537-550.","startPage":"537","endPage":"550","numberOfPages":"14","costCenters":[],"links":[{"id":232441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a065ae4b0c8380cd511f9","contributors":{"editors":[{"text":"Hayes D.F.Hayes D.F.","contributorId":128356,"corporation":true,"usgs":false,"organization":"Hayes D.F.Hayes D.F.","id":536497,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Fitzpatrick, F. A. 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":61446,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"F. A.","affiliations":[],"preferred":false,"id":397444,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70162305,"text":"70162305 - 2001 - Morphometrics, sexual dimorphism, and growth in the Angonoka tortoise (Geochelone yniphora) of western Madagascar","interactions":[],"lastModifiedDate":"2016-01-21T10:27:31","indexId":"70162305","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":671,"text":"African Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Morphometrics, sexual dimorphism, and growth in the Angonoka tortoise (Geochelone yniphora) of western Madagascar","docAbstract":"The most recent description of the morphology of the rare endemic Madagascar tortoise,Geochelone yniphora was based on fewer than 20 specimens. We collected morphological data for 200 free‐ranging tortoises from five populations over a four‐year period. Tortoises ranged in size from 43.5 mm carapace length at hatching to a maximum of 481 mm in an adult male. We were able to develop a logistic regression model to predict the sex of adult tortoises in one of the five populations using principal component analysis; the model correctly predicted the sex of 25 of 26 adult tortoises. Growth of 40 tortoises was monitored and as in other chelonians, the annual relative growth rate decreased with age. The relative growth rate in adults was approximately 5% per year as compared to approximately 16% in juveniles. Juvenile tortoises accrued one scute growth layer per year.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/21564574.2001.9635446","usgsCitation":"Smith, L.L., Pedrono, M., Dorazio, R.M., and Bishko, J., 2001, Morphometrics, sexual dimorphism, and growth in the Angonoka tortoise (Geochelone yniphora) of western Madagascar: African Journal of Herpetology, v. 50, no. 1, p. 9-18, https://doi.org/10.1080/21564574.2001.9635446.","productDescription":"10 p.","startPage":"9","endPage":"18","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":314575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a20f4be4b0961cf2811c02","contributors":{"authors":[{"text":"Smith, Lora L.","contributorId":53684,"corporation":false,"usgs":true,"family":"Smith","given":"Lora","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":589172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pedrono, Miguel","contributorId":152391,"corporation":false,"usgs":false,"family":"Pedrono","given":"Miguel","email":"","affiliations":[],"preferred":false,"id":589173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":589174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bishko, Jack","contributorId":152396,"corporation":false,"usgs":false,"family":"Bishko","given":"Jack","email":"","affiliations":[],"preferred":false,"id":589175,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70142647,"text":"70142647 - 2001 - Cloud characterization and clear-sky correction from Landsat-7","interactions":[],"lastModifiedDate":"2017-01-18T14:08:31","indexId":"70142647","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","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":"Cloud characterization and clear-sky correction from Landsat-7","docAbstract":"Landsat, with its wide swath and high resolution, fills an important mesoscale gap between atmospheric variations seen on a few kilometer scale by local surface instrumentation and the global view of coarser resolution satellites such as MODIS. In this important scale range, Landsat reveals radiative effects on the few hundred-meter scale of common photon mean-free-paths, typical of scattering in clouds at conservative (visible) wavelengths, and even shorter mean-free-paths of absorptive (near-infrared) wavelengths. Landsat also reveals shadowing effects caused by both cloud and vegetation that impact both cloudy and clear-sky radiances. As a result, Landsat has been useful in development of new cloud retrieval methods and new aerosol and surface retrievals that account for photon diffusion and shadowing effects. This paper discusses two new cloud retrieval methods: the nonlocal independent pixel approximation (NIPA) and the normalized difference nadir radiance method (NDNR). We illustrate the improvements in cloud property retrieval enabled by the new low gain settings of Landsat-7 and difficulties found at high gains. Then, we review the recently developed “path radiance” method of aerosol retrieval and clear-sky correction using data from the Department of Energy Atmospheric Radiation Measurement (ARM) site in Oklahoma. Nearby clouds change the solar radiation incident on the surface and atmosphere due to indirect illumination from cloud sides. As a result, if clouds are nearby, this extra side-illumination causes clear pixels to appear brighter, which can be mistaken for extra aerosol or higher surface albedo. Thus, cloud properties must be known in order to derive accurate aerosol and surface properties. A three-dimensional (3D) Monte Carlo (MC) radiative transfer simulation illustrates this point and suggests a method to subtract the cloud effect from aerosol and surface retrievals. The main conclusion is that cloud, aerosol, and surface retrievals are linked and must be treated as a combined system. Landsat provides the range of scales necessary to observe the 3D cloud radiative effects that influence joint surface-atmospheric retrievals.
","language":"English","publisher":"Elsevier","doi":"10.1016/S0034-4257(01)00251-6","usgsCitation":"Cahalan, R.F., Oreopoulos, L., Wen, G., Marshak, S., Tsay, S.#., and DeFelice, T., 2001, Cloud characterization and clear-sky correction from Landsat-7: Remote Sensing of Environment, v. 78, no. 1-2, p. 83-98, https://doi.org/10.1016/S0034-4257(01)00251-6.","productDescription":"16 p.","startPage":"83","endPage":"98","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54fec42ce4b02419550debae","contributors":{"authors":[{"text":"Cahalan, Robert F.","contributorId":139616,"corporation":false,"usgs":false,"family":"Cahalan","given":"Robert","email":"","middleInitial":"F.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oreopoulos, L.","contributorId":139617,"corporation":false,"usgs":false,"family":"Oreopoulos","given":"L.","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wen, G.","contributorId":139618,"corporation":false,"usgs":false,"family":"Wen","given":"G.","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marshak, S.","contributorId":34657,"corporation":false,"usgs":false,"family":"Marshak","given":"S.","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tsay, S. #NAME?","contributorId":139619,"corporation":false,"usgs":false,"family":"Tsay","given":"S.","email":"","middleInitial":"#NAME?","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":542089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeFelice, Tom","contributorId":9829,"corporation":false,"usgs":true,"family":"DeFelice","given":"Tom","email":"","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":542090,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185082,"text":"70185082 - 2001 - North Pacific decadal climate variability since 1661","interactions":[],"lastModifiedDate":"2022-08-23T16:58:26.463721","indexId":"70185082","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"North Pacific decadal climate variability since 1661","docAbstract":"Climate in the North Pacific and North American sectors has experienced interdecadal shifts during the twentieth century. A network of recently developed tree-ring chronologies for Southern and Baja California extends the instrumental record and reveals decadal-scale variability back to 1661. The Pacific decadal oscillation (PDO) is closely matched by the dominant mode of tree-ring variability that provides a preliminary view of multiannual climate fluctuations spanning the past four centuries. The reconstructed PDO index features a prominent bidecadal oscillation, whose amplitude weakened in the late l700s to mid-1800s. A comparison with proxy records of ENSO suggests that the greatest decadal-scale oscillations in Pacific climate between 1706 and 1977 occurred around 1750, 1905, and 1947.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/1520-0442(2001)014%3C0005:NPDCVS%3E2.0.CO;2","usgsCitation":"Biondi, F., Gershunov, A., and Cayan, D.R., 2001, North Pacific decadal climate variability since 1661: Journal of Climate, v. 14, no. 1, p. 5-10, https://doi.org/10.1175/1520-0442(2001)014%3C0005:NPDCVS%3E2.0.CO;2.","productDescription":"6 p.","startPage":"5","endPage":"10","costCenters":[],"links":[{"id":337528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c9012ae4b0849ce97abd1d","contributors":{"authors":[{"text":"Biondi, Franco","contributorId":75849,"corporation":false,"usgs":true,"family":"Biondi","given":"Franco","affiliations":[],"preferred":false,"id":684278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gershunov, Alexander","contributorId":45238,"corporation":false,"usgs":true,"family":"Gershunov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":684279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":684280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70023415,"text":"70023415 - 2001 - Evaluation of the UnTRIM model for 3-D tidal circulation","interactions":[],"lastModifiedDate":"2012-03-12T17:20:10","indexId":"70023415","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of the UnTRIM model for 3-D tidal circulation","docAbstract":"A family of numerical models, known as the TRIM models, shares the same modeling philosophy for solving the shallow water equations. A characteristic analysis of the shallow water equations points out that the numerical instability is controlled by the gravity wave terms in the momentum equations and by the transport terms in the continuity equation. A semi-implicit finite-difference scheme has been formulated so that these terms and the vertical diffusion terms are treated implicitly and the remaining terms explicitly to control the numerical stability and the computations are carried out over a uniform finite-difference computational mesh without invoking horizontal or vertical coordinate transformations. An unstructured grid version of TRIM model is introduced, or UnTRIM (pronounces as \"you trim\"), which preserves these basic numerical properties and modeling philosophy, only the computations are carried out over an unstructured orthogonal grid. The unstructured grid offers the flexibilities in representing complex study areas so that fine grid resolution can be placed in regions of interest, and coarse grids are used to cover the remaining domain. Thus, the computational efforts are concentrated in areas of importance, and an overall computational saving can be achieved because the total number of grid-points is dramatically reduced. To use this modeling approach, an unstructured grid mesh must be generated to properly reflect the properties of the domain of the investigation. The new modeling flexibility in grid structure is accompanied by new challenges associated with issues of grid generation. To take full advantage of this new model flexibility, the model grid generation should be guided by insights into the physics of the problems; and the insights needed may require a higher degree of modeling skill.","largerWorkTitle":"Estuarine and Coastal Modeling: Proceedings of the Seventh International Conference","conferenceTitle":"Estuarine and Coastal Modeling: Proceedings of the Seventh International Conference","conferenceDate":"5 November 2001 through 7 November 2001","conferenceLocation":"St. Petersburg, FL","language":"English","isbn":"0784406286","usgsCitation":"Cheng, R.T., and Casulli, V., 2001, Evaluation of the UnTRIM model for 3-D tidal circulation, in Estuarine and Coastal Modeling: Proceedings of the Seventh International Conference, St. Petersburg, FL, 5 November 2001 through 7 November 2001, p. 628-642.","startPage":"628","endPage":"642","numberOfPages":"15","costCenters":[],"links":[{"id":232484,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0cdae4b0c8380cd52d0a","contributors":{"editors":[{"text":"Spaulding M.L.Spaulding M.L.","contributorId":128417,"corporation":true,"usgs":false,"organization":"Spaulding M.L.Spaulding M.L.","id":536498,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Cheng, R. T.","contributorId":23138,"corporation":false,"usgs":false,"family":"Cheng","given":"R.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":397591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casulli, V.","contributorId":65994,"corporation":false,"usgs":true,"family":"Casulli","given":"V.","affiliations":[],"preferred":false,"id":397592,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184294,"text":"70184294 - 2001 - Estimation of brood and nest survival: Comparative methods in the presence of heterogeneity","interactions":[],"lastModifiedDate":"2017-03-06T18:08:12","indexId":"70184294","displayToPublicDate":"2001-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of brood and nest survival: Comparative methods in the presence of heterogeneity","docAbstract":"The Mayfield method has been widely used for estimating survival of nests and young animals, especially when data are collected at irregular observation intervals. However, this method assumes survival is constant throughout the study period, which often ignores biologically relevant variation and may lead to biased survival estimates. We examined the bias and accuracy of 1 modification to the Mayfield method that allows for temporal variation in survival, and we developed and similarly tested 2 additional methods. One of these 2 new methods is simply an iterative extension of Klett and Johnson's method, which we refer to as the Iterative Mayfield method and bears similarity to Kaplan-Meier methods. The other method uses maximum likelihood techniques for estimation and is best applied to survival of animals in groups or families, rather than as independent individuals. We also examined how robust these estimators are to heterogeneity in the data, which can arise from such sources as dependent survival probabilities among siblings, inherent differences among families, and adoption. Testing of estimator performance with respect to bias, accuracy, and heterogeneity was done using simulations that mimicked a study of survival of emperor goose (Chen canagica) goslings. Assuming constant survival for inappropriately long periods of time or use of Klett and Johnson's methods resulted in large bias or poor accuracy (often >5% bias or root mean square error) compared to our Iterative Mayfield or maximum likelihood methods. Overall, estimator performance was slightly better with our Iterative Mayfield than our maximum likelihood method, but the maximum likelihood method provides a more rigorous framework for testing covariates and explicity models a heterogeneity factor. We demonstrated use of all estimators with data from emperor goose goslings. We advocate that future studies use the new methods outlined here rather than the traditional Mayfield method or its previous modifications.
","language":"English","publisher":"Wiley","doi":"10.2307/3802905","usgsCitation":"Manly, B.F., and Schmutz, J.A., 2001, Estimation of brood and nest survival: Comparative methods in the presence of heterogeneity: Journal of Wildlife Management, v. 65, no. 2, p. 258-270, https://doi.org/10.2307/3802905.","productDescription":"13 p.","startPage":"258","endPage":"270","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":486901,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2307/3802905","text":"Publisher Index Page"},{"id":336914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58be833ee4b014cc3a3a9a05","contributors":{"authors":[{"text":"Manly, Bryan F.J.","contributorId":41770,"corporation":false,"usgs":true,"family":"Manly","given":"Bryan","email":"","middleInitial":"F.J.","affiliations":[],"preferred":false,"id":680887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":680888,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":50391,"text":"ofr01113 - 2001 - hypoDD-A Program to Compute Double-Difference Hypocenter Locations","interactions":[],"lastModifiedDate":"2014-02-06T13:43:25","indexId":"ofr01113","displayToPublicDate":"1994-01-01T07:00:00","publicationYear":"2001","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":"2001-113","title":"hypoDD-A Program to Compute Double-Difference Hypocenter Locations","docAbstract":"HypoDD is a Fortran computer program package for relocating earthquakes with the double-difference algorithm of Waldhauser and Ellsworth (2000). This document provides a brief introduction into how to run and use the programs ph2dt and hypoDD to compute double-difference (DD) hypocenter locations. It gives a short overview of the DD technique, discusses the data preprocessing using ph2dt, and leads through the earthquake relocation process using hypoDD. The appendices include the reference manuals for the two programs and a short description of auxiliary programs and example data. Some minor subroutines are presently in the c language, and future releases will be in c.
\nEarthquake location algorithms are usually based on some form of Geiger’s method, the linearization of the travel time equation in a first order Taylor series that relates the difference between the observed and predicted travel time to unknown adjustments in the hypocentral coordinates through the partial derivatives of travel time with respect to the unknowns. Earthquakes can be located individually with this algorithm, or jointly when other unknowns link together the solutions to indivdual earthquakes, such as station corrections in the joint hypocenter determination (JHD) method, or the earth model in seismic tomography.
\nThe DD technique (described in detail in Waldhauser and Ellsworth, 2000) takes advantage of the fact that if the hypocentral separation between two earthquakes is small compared to the event-station distance and the scale length of velocity heterogeneity, then the ray paths between the source region and a common station are similar along almost the entire ray path (Fréchet, 1985; Got et al., 1994). In this case, the difference in travel times for two events observed at one station can be attributed to the spatial offset between the events with high accuracy.
\nDD equations are built by differencing Geiger’s equation for earthquake location. In this way, the residual between observed and calculated travel-time difference (or double-difference) between two events at a common station are a related to adjustments in the relative position of the hypocenters and origin times through the partial derivatives of the travel times for each event with respect to the unknown. HypoDD calculates travel times in a layered velocity model (where velocity depends only on depth) for the current hypocenters at the station where the phase was recorded. The double-difference residuals for pairs of earthquakes at each station are minimized by weighted least squares using the method of singular value decomposition (SVD) or the conjugate gradients method (LSQR, Paige and Saunders, 1982). Solutions are found by iteratively adjusting the vector difference between nearby hypocentral pairs, with the locations and partial derivatives being updated after each iteration. Details about the algorithm can be found in Waldhauser and Ellsworth (2000).
\nWhen the earthquake location problem is linearized using the double-difference equations, the common mode errors cancel, principally those related to the receiver-side structure. Thus we avoid the need for station corrections or high-accuracy of predicted travel times for the portion of the raypath that lies outside the focal volume. This approach is especially useful in regions with a dense distribution of seismicity, i.e. where distances between neighboring events are only a few hundred meters. The improvement of double-difference locations over ordinary JHD locations is shown in Figure 1 for about 10,000 earthquakes that occurred during the 1997 seismic crisis in the Long Valley caldera, California. While the JHD locations (left panel) show a diffuse picture of the seismicity, double-difference locations (right panel) bring structural details such as the location of active fault planes into sharp focus.
","language":"English","doi":"10.3133/ofr01113","usgsCitation":"Waldhauser, F., 2001, hypoDD-A Program to Compute Double-Difference Hypocenter Locations (Version 1.0): U.S. Geological Survey Open-File Report 2001-113, 25 p., https://doi.org/10.3133/ofr01113.","productDescription":"25 p.","onlineOnly":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":175481,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4190,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2001/0113/","linkFileType":{"id":5,"text":"html"}},{"id":282065,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2001/0113/pdf/hypoDD.pdf"},{"id":282066,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2001/0113/HYPODD_1.0.tar.gz"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc319","contributors":{"authors":[{"text":"Waldhauser, Felix","contributorId":59106,"corporation":false,"usgs":true,"family":"Waldhauser","given":"Felix","email":"","affiliations":[],"preferred":false,"id":241347,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":50452,"text":"ofr01457 - 2001 - Lahar Hazards at Concepción volcano, Nicaragua","interactions":[],"lastModifiedDate":"2013-11-22T13:43:59","indexId":"ofr01457","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","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":"2001-457","title":"Lahar Hazards at Concepción volcano, Nicaragua","docAbstract":"Concepción is one of Nicaragua’s highest and most active volcanoes. The symmetrical cone occupies the northeastern half of a dumbbell shaped island called Isla Ometepa. The dormant volcano, Maderas, occupies the southwest half of the island. A narrow isthmus connects Concepción and Maderas volcanoes. Concepción volcano towers more than 1600 m above Lake Nicaragua and is within 5 to 10 km of several small towns situated on its aprons at or near the shoreline. These towns have a combined population of nearly 5,000. The volcano has frequently produced debris flows (watery flows of mud, rock, and debris—also known as lahars when they occur on a volcano) that could inundate these nearby populated areas.
\nConcepción volcano has erupted more than 25 times in the last 120 years. Its first recorded activity was in AD 1883. Eruptions in the past century, most of which have originated from a small summit crater, comprise moderate explosions, ash that falls out of eruption plumes (called tephra), and occasional lava flows. Near the summit area, there are accumulations of rock that were emplaced hot (pyroclastic deposits), most of which were hot enough to stick together during deposition (a process called welding). These pyroclastic rocks are rather weak, and tend to break apart easily. The loose volcanic rock remobilizes during heavy rain to form lahars. Volcanic explosions have produced blankets of tephra that are distributed downwind, which on Isla Ometepe is mostly to the west. Older deposits at the west end of the island that are up to 1 m thick indicate larger explosive events have happened at Concepción volcano in prehistoric time. Like pyroclastic-flow deposits, loose tephra on the steep slopes of the volcano provides source material that heavy rainstorms and earthquakes can mobilize to trigger debris flow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Vancouver, WA","doi":"10.3133/ofr01457","usgsCitation":"Vallance, J., Schilling, S., Devoli, G., and Howell, M., 2001, Lahar Hazards at Concepción volcano, Nicaragua: U.S. Geological Survey Open-File Report 2001-457, Report: 13 p.; Plate: 32.68 x 25.10 inches, https://doi.org/10.3133/ofr01457.","productDescription":"Report: 13 p.; Plate: 32.68 x 25.10 inches","numberOfPages":"14","additionalOnlineFiles":"Y","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":176379,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr01457.jpg"},{"id":4252,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2001/0457/","linkFileType":{"id":5,"text":"html"}},{"id":279606,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2001/0457/pdf/of2001-0457.pdf"},{"id":279607,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2001/0457/pdf/of2001-0457_plate1.pdf"}],"scale":"50000","projection":"Universal Transverse Mercator projection","datum":"North American 1927","country":"Nicaragua","otherGeospatial":"Concepci�n Volcano;Lake Nicaragua;Maderas Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.834,10.7087 ], [ -87.834,15.0293 ], [ -82.6227,15.0293 ], [ -82.6227,10.7087 ], [ -87.834,10.7087 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b43b2","contributors":{"authors":[{"text":"Vallance, J.W.","contributorId":45336,"corporation":false,"usgs":true,"family":"Vallance","given":"J.W.","affiliations":[],"preferred":false,"id":241484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schilling, S. P.","contributorId":42606,"corporation":false,"usgs":true,"family":"Schilling","given":"S. P.","affiliations":[],"preferred":false,"id":241482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Devoli, G.","contributorId":42632,"corporation":false,"usgs":true,"family":"Devoli","given":"G.","affiliations":[],"preferred":false,"id":241483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howell, M.M.","contributorId":95109,"corporation":false,"usgs":true,"family":"Howell","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":241485,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":50384,"text":"ofr0182 - 2001 - MODFLOW-2000, the U.S. Geological Survey modular ground-water model: User guide to the LMT6 package, the linkage with MT3DMS for multi-species mass transport modeling","interactions":[],"lastModifiedDate":"2020-02-20T06:32:19","indexId":"ofr0182","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","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":"2001-82","title":"MODFLOW-2000, the U.S. Geological Survey modular ground-water model: User guide to the LMT6 package, the linkage with MT3DMS for multi-species mass transport modeling","docAbstract":"MODFLOW-2000, the newest version of MODFLOW, is a computer program that numerically solves the three-dimensional ground-water flow equation for a porous medium using a finite-difference method. MT3DMS, the successor to MT3D, is a computer program for modeling multi-species solute transport in three-dimensional ground-water systems using multiple solution techniques, including the finite-difference method, the method of characteristics (MOC), and the total-variation-diminishing (TVD) method. This report documents a new version of the Link-MT3DMS Package, which enables MODFLOW-2000 to produce the information needed by MT3DMS, and also discusses new visualization software for MT3DMS. Unlike the Link-MT3D Packages that coordinated previous versions of MODFLOW and MT3D, the new Link-MT3DMS Package requires an input file that, among other things, provides enhanced support for additional MODFLOW sink/source packages and allows list-directed (free) format for the flow model produced flow-transport link file. The report contains four parts: (a) documentation of the Link-MT3DMS Package Version 6 for MODFLOW-2000; (b) discussion of several issues related to simulation setup and input data preparation for running MT3DMS with MODFLOW-2000; (c) description of two test example problems, with comparison to results obtained using another MODFLOW-based transport program; and (d) overview of post-simulation visualization and animation using the U.S. Geological Survey?s Model Viewer.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr0182","usgsCitation":"Zheng, C., Hill, M.C., and Hsieh, P.A., 2001, MODFLOW-2000, the U.S. Geological Survey modular ground-water model: User guide to the LMT6 package, the linkage with MT3DMS for multi-species mass transport modeling: U.S. Geological Survey Open-File Report 2001-82, v, 43 p., https://doi.org/10.3133/ofr0182.","productDescription":"v, 43 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":175411,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2001/0082/report-thumb.jpg"},{"id":86317,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2001/0082/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648ce8","contributors":{"authors":[{"text":"Zheng, Chunmiao","contributorId":49233,"corporation":false,"usgs":true,"family":"Zheng","given":"Chunmiao","affiliations":[],"preferred":false,"id":241328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary Catherine","contributorId":53400,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"","middleInitial":"Catherine","affiliations":[],"preferred":false,"id":241329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":241327,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":50415,"text":"ofr01251 - 2001 - Digital data used to relate nutrient input to water quality in the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2012-03-08T17:16:16","indexId":"ofr01251","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","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":"2001-251","title":"Digital data used to relate nutrient input to water quality in the Chesapeake Bay watershed","docAbstract":"Digital data sets compiled by the U.S. Geological Survey were used as input for a collection of Spatially Referenced Regressions On Watershed (SPARROW) attributes for the Chesapeake Bay region including parts of Delaware, Maryland, New York, Pennsylvania, Virginia, West Virginia, and the District of Columbia. These regressions use a nonlinear statistical approach to relate nutrient sources and land-surface characteristics to nutrient loads of streams throughout the Chesapeake Bay watershed. A digital segmented-watershed network serves as the primary framework for spatially referencing nutrient-source and land-surface characteristic data within a geographic information system. \r\n\r\nFlow direction and flow accumulation generated from a 30-meter cell-size Digital Elevation Model and attributes from 1:500,000-scale stream data were used to generate stream and watershed networks. Spatial data sets representing nutrient inputs of total nitrogen and total phosphorus from the early 1990's were created and compiled from numerous sources. Data include atmospheric deposition, septic systems, point-source locations, land use, land cover, and agricultural sources such as commercial fertilizer and manure. Some land-surface characteristic data sets representing factors that affect the transport of nutrients also were compiled. Data sets include land use, land cover, average-annual precipitation and temperature, slope, hydrogeomorphic regions, and soil permeability.\r\n\r\nNutrient-input and land-surface characteristic data sets merged with the segmented-watershed network provide the spatial detail by watershed segment required by SPARROW. Stream-nutrient load estimates for 132 sampling sites representing the early 1990's (103 for total nitrogen and 121 for total phosphorus) serve as the dependent variables for the regressions. These estimates were used to calibrate models of total nitrogen and total phosphorus depicting 1992 land-surface conditions. Examples of model predictions consist of stream-nutrient load and source percentages contributed locally to each stream reach, as well as percentages of the load that reach Chesapeake Bay.","language":"ENGLISH","doi":"10.3133/ofr01251","collaboration":"See OFR 99-60 for version 1.0; see OFR 2004-1433 for version 3.0","usgsCitation":"Brakebill, J.W., Preston, S.D., and Martucci, S.K., 2001, Digital data used to relate nutrient input to water quality in the Chesapeake Bay watershed (Version 2.0): U.S. Geological Survey Open-File Report 2001-251, 17 p., https://doi.org/10.3133/ofr01251.","productDescription":"17 p.","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":4219,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://md.water.usgs.gov/publications/ofr-01-251/","linkFileType":{"id":5,"text":"html"}},{"id":176554,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Version 2.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d551","contributors":{"authors":[{"text":"Brakebill, John W. 0000-0001-9235-6810 jwbrakeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9235-6810","contributorId":1061,"corporation":false,"usgs":true,"family":"Brakebill","given":"John","email":"jwbrakeb@usgs.gov","middleInitial":"W.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":241411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Preston, Stephen D. 0000-0003-1515-6692 spreston@usgs.gov","orcid":"https://orcid.org/0000-0003-1515-6692","contributorId":1463,"corporation":false,"usgs":true,"family":"Preston","given":"Stephen","email":"spreston@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":241412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martucci, Sarah K.","contributorId":32976,"corporation":false,"usgs":true,"family":"Martucci","given":"Sarah","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":241413,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":50424,"text":"ofr01286 - 2001 - TopoDrive and ParticleFlow--Two computer models for simulation and visualization of ground-water flow and transport of fluid particles in two dimensions","interactions":[],"lastModifiedDate":"2020-02-23T16:47:35","indexId":"ofr01286","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","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":"2001-286","displayTitle":"TopoDrive and ParticleFlow--Two Computer Models for Simulation and Visualization of Ground-Water Flow and Transport of Fluid Particles in Two Dimensions","title":"TopoDrive and ParticleFlow--Two computer models for simulation and visualization of ground-water flow and transport of fluid particles in two dimensions","docAbstract":"This report serves as a user?s guide for two computer models: TopoDrive and ParticleFlow. These two-dimensional models are designed to simulate two ground-water processes: topography-driven flow and advective transport of fluid particles. To simulate topography-driven flow, the user may specify the shape of the water table, which bounds the top of the vertical flow section. To simulate transport of fluid particles, the model domain is a rectangle with overall flow from left to right. In both cases, the flow is under steady state, and the distribution of hydraulic conductivity may be specified by the user. The models compute hydraulic head, ground-water flow paths, and the movement of fluid particles. An interactive visual interface enables the user to easily and quickly explore model behavior, and thereby better understand ground-water flow processes. In this regard, TopoDrive and ParticleFlow are not intended to be comprehensive modeling tools, but are designed for modeling at the exploratory or conceptual level, for visual demonstration, and for educational purposes.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr01286","usgsCitation":"Hsieh, P.A., 2001, TopoDrive and ParticleFlow--Two computer models for simulation and visualization of ground-water flow and transport of fluid particles in two dimensions: U.S. Geological Survey Open-File Report 2001-286, 30 p., https://doi.org/10.3133/ofr01286.","productDescription":"30 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":179579,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4222,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://water.usgs.gov/nrp/gwsoftware/tdpf/ofr01-286.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b2f7","contributors":{"authors":[{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":241434,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":50443,"text":"ofr2001368 - 2001 - The Evolution of the Lower Missouri River: Preliminary Results of NMD Research at Lisbon Bottom","interactions":[],"lastModifiedDate":"2017-09-06T14:23:15","indexId":"ofr2001368","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","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":"2001-368","title":"The Evolution of the Lower Missouri River: Preliminary Results of NMD Research at Lisbon Bottom","docAbstract":"The purpose of this investigation is to determine the relationship between the geomorphology of Lisbon Bottom and the spatial and temporal distribution of its wetlands. The project is focused specifically on the Quaternary geology of the river valley and the relationship between the valley's alluvial architecture and the hydrogeology of its wetlands. The Quaternary geology of the river valley has been determined through a field reconnaissance and visual inspection of topographic maps and digital elevation data. Data describing the morphology of the main channel and the physical properties of Lisbon Bottom have been collected. On the basis of these data, a preliminary model of the alluvial architecture of Lisbon Bottom has been developed, but it lacks subsurface verification owing to equipment failures and unseasonable high water. To date, the publications and presentations describing the project include a U.S. Geological Survey Open-File Report (OFR 01-176), two seminars hosted by the University of Missouri - Rolla, and an abstract that was submitted and accepted by the Geological Society of America for its annual fall meeting in November 2001.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr2001368","usgsCitation":"Spooner, J., 2001, The Evolution of the Lower Missouri River: Preliminary Results of NMD Research at Lisbon Bottom: U.S. Geological Survey Open-File Report 2001-368, 13 p., https://doi.org/10.3133/ofr2001368.","productDescription":"13 p.","numberOfPages":"13","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":175849,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2001/0368/coverthb.jpg"},{"id":345475,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2001/0368/ofr01368.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","otherGeospatial":"Lisbon Bottom, Missouri River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67aff4","contributors":{"authors":[{"text":"Spooner, Jeffrey","contributorId":49010,"corporation":false,"usgs":true,"family":"Spooner","given":"Jeffrey","affiliations":[],"preferred":false,"id":241468,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":53881,"text":"bsr20010001 - 2001 - Evaluation of Metal Toxicity in Streams Affected by Abandoned Mine Lands, Upper Animas River Watershed, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:10:11","indexId":"bsr20010001","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":9,"text":"Biological Science Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2001-0001","title":"Evaluation of Metal Toxicity in Streams Affected by Abandoned Mine Lands, Upper Animas River Watershed, Colorado","docAbstract":"Acid drainage from abandoned mines and from naturally-acidic rocks and soil in the upper Animas River watershed of Colorado generates elevated concentrations of acidity and dissolved metals in stream waters and deposition of metal-contaminated particulates in streambed sediments, resulting in both toxicity and habitat degradation for stream biota. High concentrations of iron (Fe), aluminum (Al), zinc (Zn), copper (Cu), cadmium (Cd), and lead (Pb) occur in acid streams draining headwaters of the upper Animas River watershed, and high concentrations of some metals, especially Zn, persist in circumneutral reaches of the Animas River and Mineral Creek, downstream of mixing zones of acid tributaries. Seasonal variation of metal concentrations is reflected in variation in toxicity of stream water. Loadings of dissolved metals to the upper Animas River and tributaries are greatest during summer, during periods of high stream discharge from snowmelt and monsoonal rains, but adverse effects on stream biota may be greater during winter low-flow periods, when stream flows are dominated by inputs of groundwater and contain greatest concentrations of dissolved metals. Fine stream-bed sediments of the upper Animas River watershed also contain elevated concentrations of potentially toxic metals. Greatest sediment metal concentrations occur in the Animas River upstream from Silverton, where there are extensive deposits of mine and mill tailings, and in mixing zones in the Animas River and lower Mineral Creek, where precipitates of Fe and Al oxides also contain high concentrations of other metals.\r\n\r\nThis report summarizes the findings of a series of toxicity studies in streams of the upper Animas River watershed, conducted on-site and in the laboratory between 1998 and 2000. The objectives of these studies were: (1) to determine the relative toxicity of stream water and fine stream-bed sediments to fish and invertebrates; (2) to determine the seasonal range of toxicity in stream water; (3) to develop site-specific thresholds for toxicity of Zn and Cu in stream water; and (4) to develop models of the contributions of Cu and Zn to toxicity of stream water, which may be used to characterize toxicity before and after planned remediation efforts.\r\n\r\nWe evaluated the toxicity of metal-contaminated sediments by conducting sediment\r\ntoxicity tests with two species of benthic invertebrates, the midge, Chironomus tentans. and the amphipod, Hyalella azteca. Laboratory toxicity tests with both taxa, exposed to fine stream-bed sediments collected in September 1997, showed some evidence of sediment toxicity, as survival of midge larvae in sediments from Cement Creek (C48) and lower Mineral Creek (M34), and growth of amphipods in sediments from these sites and three Animas River sites (A68, Animas at Silverton; A72, Animas below Silverton, and A73, Animas at Elk Park) were significantly reduced compared to a reference site, South Mineral Creek (SMC) . Amphipods were also exposed to site water and fine stream-bed sediment, separately and in combination, during the late summer low flow period (August-September) of 1998. In these studies, stream water, with no sediment present, from all five sites tested (same sites as above, except C48) caused 90% to 100% mortality of amphipods. In contrast, significant reductions in survival of amphipods occurred at two sites (A72 and SMC) in exposures with field-collected sediment plus stream water, and at only one site (A72) in exposures with sediments and clean overlying water. Concentrations of Zn, Pb, Cu, and Cd were high in both sediment and pore water (interstitial water) from most sites tested, but greatest sediment toxicity was apparently associated with greater concentrations of Fe and/or Al in sediments. These results suggest that fine stream-bed sediments of the more contaminated stream reaches of the upper Animas River watershed are toxic to benthic invertebrates, but that these impacts are less serious than tox","language":"ENGLISH","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Besser, J.M., Allert, A., Hardesty, D., Ingersoll, C.G., May, T.W., Wang, N., and Leib, K.J., 2001, Evaluation of Metal Toxicity in Streams Affected by Abandoned Mine Lands, Upper Animas River Watershed, Colorado: Biological Science Report 2001-0001, v, 72 p.","productDescription":"v, 72 p.","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":177983,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/bsr/2000/0001/report-thumb.jpg"},{"id":87803,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/bsr/2000/0001/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.83333333333333,37.75 ], [ -107.83333333333333,38 ], [ -107.5,38 ], [ -107.5,37.75 ], [ -107.83333333333333,37.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fb01c","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":248572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allert, Ann L. aallert@usgs.gov","contributorId":494,"corporation":false,"usgs":true,"family":"Allert","given":"Ann L.","email":"aallert@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":248569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardesty, Douglas K. dhardesty@usgs.gov","contributorId":3281,"corporation":false,"usgs":true,"family":"Hardesty","given":"Douglas K.","email":"dhardesty@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":248575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":248571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":248573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":248574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":248570,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":53432,"text":"wri014006 - 2001 - Application of Telescopic Mesh Refinement to a Regional Model to Simulate Ground-water Flow in Webberville, Michigan","interactions":[],"lastModifiedDate":"2012-02-02T00:11:58","indexId":"wri014006","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2001-4006","title":"Application of Telescopic Mesh Refinement to a Regional Model to Simulate Ground-water Flow in Webberville, Michigan","language":"ENGLISH","doi":"10.3133/wri014006","usgsCitation":"Luukkonen, C.L., 2001, Application of Telescopic Mesh Refinement to a Regional Model to Simulate Ground-water Flow in Webberville, Michigan: U.S. Geological Survey Water-Resources Investigations Report 2001-4006, 27 p., https://doi.org/10.3133/wri014006.","productDescription":"27 p.","costCenters":[],"links":[{"id":100363,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2001/4006/report.pdf","size":"5570","linkFileType":{"id":1,"text":"pdf"}},{"id":180715,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2001/4006/report-thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67ab6d","contributors":{"authors":[{"text":"Luukkonen, Carol L. clluukko@usgs.gov","contributorId":3489,"corporation":false,"usgs":true,"family":"Luukkonen","given":"Carol","email":"clluukko@usgs.gov","middleInitial":"L.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":247576,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":45048,"text":"wri014073 - 2001 - An alternative regionalization scheme for defining nutrient criteria for rivers and streams","interactions":[],"lastModifiedDate":"2018-02-06T12:32:25","indexId":"wri014073","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2001-4073","title":"An alternative regionalization scheme for defining nutrient criteria for rivers and streams","docAbstract":"To protect and manage rivers and streams (hereafter, collectively referred to as streams) in the United States, the U.S. Environmental Protection Agency (USEPA) is establishing regionally based nutrient criteria that reflect the natural variability in water quality. As a basic approach to establish these criteria, the USEPA has divided the country into nutrient ecoregions (delineated on the basis of natural and anthropogenic factors) to minimize variability within regions and maximize variability among regions. The USEPA has allowed states and tribes flexibility to modify or improve on this basic approach. As part of activities of a Regional Technical Assistance Group, whose role it is to examine and refine this basic approach, an alternative regionalization scheme was developed for the Upper Midwest. In this refined approach, the relative importance of various environmental characteristics affecting nutrient concentrations are determined by use of regression-tree analysis. The area is then subdivided into relatively homogeneous areas called “environmental nutrient zones” on the basis of distributions of only the most statistically significant environmental characteristics.
\nOn the basis of data from 234 sites, the most statistically significant environmental characteristics affecting nutrient concentrations were the percentage of agriculture (or absence of forest) and factors describing the climate and geology in the watershed. Environmental nutrient zones were then delineated that incorporated distributions in land use (similar to the ecoregion approach) and also delineated with land-use information excluded so the criteria should reflect only the naturally occurring variability in water quality. With the environmental nutrient zone stratification scheme, the variability in total phosphorus concentrations among zones was reduced by approximately 50 percent compared to that among nutrient ecoregions, whereas the variability in total nitrogen concentrations was reduced only slightly. Frequency distributions of data from each zone were then used to define the potential water quality of each zone.
\nThe environmental nutrient zone approach can be applied to specific states or nutrient ecoregions and used to develop criteria as a function of stream type. This approach can also be applied on the basis of environmental characteristics of the watershed alone rather than the general environmental characteristics from the region in which the site is located. The environmental nutrient zone approach will enable states to refine the basic nutrient criteria established by the USEPA by developing attainable criteria given the environmental characteristics where the streams are located.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri014073","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Regions V and VII","usgsCitation":"Robertson, D.M., Saad, D.A., and Wieben, A.M., 2001, An alternative regionalization scheme for defining nutrient criteria for rivers and streams: U.S. Geological Survey Water-Resources Investigations Report 2001-4073, v, 57 p., https://doi.org/10.3133/wri014073.","productDescription":"v, 57 p.","numberOfPages":"63","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":310676,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://wi.water.usgs.gov/pubs/wrir-01-4073/wrir-01-4073.pdf"},{"id":170878,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":3906,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://wi.water.usgs.gov/pubs/wrir-01-4073/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-66.28243,18.51476],[-65.7713,18.42668],[-65.591,18.22803],[-65.84716,17.97591],[-66.59993,17.98182],[-67.18416,17.94655],[-67.24243,18.37446],[-67.10068,18.5206],[-66.28243,18.51476]]],[[[-155.54211,19.08348],[-155.68817,18.91619],[-155.93665,19.05939],[-155.90806,19.33888],[-156.07347,19.70294],[-156.02368,19.81422],[-155.85008,19.97729],[-155.91907,20.17395],[-155.86108,20.26721],[-155.78505,20.2487],[-155.40214,20.07975],[-155.22452,19.99302],[-155.06226,19.8591],[-154.80741,19.50871],[-154.83147,19.45328],[-155.22217,19.23972],[-155.54211,19.08348]]],[[[-156.07926,20.64397],[-156.41445,20.57241],[-156.58673,20.783],[-156.70167,20.8643],[-156.71055,20.92676],[-156.61258,21.01249],[-156.25711,20.91745],[-155.99566,20.76404],[-156.07926,20.64397]]],[[[-156.75824,21.17684],[-156.78933,21.06873],[-157.32521,21.09777],[-157.25027,21.21958],[-156.75824,21.17684]]],[[[-157.65283,21.32217],[-157.70703,21.26442],[-157.7786,21.27729],[-158.12667,21.31244],[-158.2538,21.53919],[-158.29265,21.57912],[-158.0252,21.71696],[-157.94161,21.65272],[-157.65283,21.32217]]],[[[-159.34512,21.982],[-159.46372,21.88299],[-159.80051,22.06533],[-159.74877,22.1382],[-159.5962,22.23618],[-159.36569,22.21494],[-159.34512,21.982]]],[[[-94.81758,49.38905],[-94.64,48.84],[-94.32914,48.67074],[-93.63087,48.60926],[-92.61,48.45],[-91.64,48.14],[-90.83,48.27],[-89.6,48.01],[-89.27292,48.01981],[-88.37811,48.30292],[-87.43979,47.94],[-86.46199,47.55334],[-85.65236,47.22022],[-84.87608,46.90008],[-84.77924,46.6371],[-84.54375,46.53868],[-84.6049,46.4396],[-84.3367,46.40877],[-84.14212,46.51223],[-84.09185,46.27542],[-83.89077,46.11693],[-83.61613,46.11693],[-83.46955,45.99469],[-83.59285,45.81689],[-82.55092,45.34752],[-82.33776,44.44],[-82.13764,43.57109],[-82.43,42.98],[-82.9,42.43],[-83.12,42.08],[-83.142,41.97568],[-83.02981,41.8328],[-82.69009,41.67511],[-82.43928,41.67511],[-81.27775,42.20903],[-80.24745,42.3662],[-78.93936,42.86361],[-78.92,42.965],[-79.01,43.27],[-79.17167,43.46634],[-78.72028,43.62509],[-77.73789,43.62906],[-76.82003,43.62878],[-76.5,44.01846],[-76.375,44.09631],[-75.31821,44.81645],[-74.867,45.00048],[-73.34783,45.00738],[-71.50506,45.0082],[-71.405,45.255],[-71.08482,45.30524],[-70.66,45.46],[-70.305,45.915],[-69.99997,46.69307],[-69.23722,47.44778],[-68.905,47.185],[-68.23444,47.35486],[-67.79046,47.06636],[-67.79134,45.70281],[-67.13741,45.13753],[-66.96466,44.8097],[-68.03252,44.3252],[-69.06,43.98],[-70.11617,43.68405],[-70.64548,43.09024],[-70.81489,42.8653],[-70.825,42.335],[-70.495,41.805],[-70.08,41.78],[-70.185,42.145],[-69.88497,41.92283],[-69.96503,41.63717],[-70.64,41.475],[-71.12039,41.49445],[-71.86,41.32],[-72.295,41.27],[-72.87643,41.22065],[-73.71,40.9311],[-72.24126,41.11948],[-71.945,40.93],[-73.345,40.63],[-73.982,40.628],[-73.95232,40.75075],[-74.25671,40.47351],[-73.96244,40.42763],[-74.17838,39.70926],[-74.90604,38.93954],[-74.98041,39.1964],[-75.20002,39.24845],[-75.52805,39.4985],[-75.32,38.96],[-75.07183,38.78203],[-75.05673,38.40412],[-75.37747,38.01551],[-75.94023,37.21689],[-76.03127,37.2566],[-75.72205,37.93705],[-76.23287,38.31921],[-76.35,39.15],[-76.54272,38.71762],[-76.32933,38.08326],[-76.99,38.23999],[-76.30162,37.91794],[-76.25874,36.9664],[-75.9718,36.89726],[-75.86804,36.55125],[-75.72749,35.55074],[-76.36318,34.80854],[-77.39763,34.51201],[-78.05496,33.92547],[-78.55435,33.86133],[-79.06067,33.49395],[-79.20357,33.15839],[-80.30132,32.50935],[-80.86498,32.0333],[-81.33629,31.44049],[-81.49042,30.72999],[-81.31371,30.03552],[-80.98,29.18],[-80.53558,28.47213],[-80.53,28.04],[-80.05654,26.88],[-80.08801,26.20576],[-80.13156,25.81677],[-80.38103,25.20616],[-80.68,25.08],[-81.17213,25.20126],[-81.33,25.64],[-81.71,25.87],[-82.24,26.73],[-82.70515,27.49504],[-82.85526,27.88624],[-82.65,28.55],[-82.93,29.1],[-83.70959,29.93656],[-84.1,30.09],[-85.10882,29.63615],[-85.28784,29.68612],[-85.7731,30.15261],[-86.4,30.4],[-87.53036,30.27433],[-88.41782,30.3849],[-89.18049,30.31598],[-89.59383,30.15999],[-89.41373,29.89419],[-89.43,29.48864],[-89.21767,29.29108],[-89.40823,29.15961],[-89.77928,29.30714],[-90.15463,29.11743],[-90.88022,29.14854],[-91.62678,29.677],[-92.49906,29.5523],[-93.22637,29.78375],[-93.84842,29.71363],[-94.69,29.48],[-95.60026,28.73863],[-96.59404,28.30748],[-97.14,27.83],[-97.37,27.38],[-97.38,26.69],[-97.33,26.21],[-97.14,25.87],[-97.53,25.84],[-98.24,26.06],[-99.02,26.37],[-99.3,26.84],[-99.52,27.54],[-100.11,28.11],[-100.45584,28.69612],[-100.9576,29.38071],[-101.6624,29.7793],[-102.48,29.76],[-103.11,28.97],[-103.94,29.27],[-104.45697,29.57196],[-104.70575,30.12173],[-105.03737,30.64402],[-105.63159,31.08383],[-106.1429,31.39995],[-106.50759,31.75452],[-108.24,31.75485],[-108.24194,31.34222],[-109.035,31.34194],[-111.02361,31.33472],[-113.30498,32.03914],[-114.815,32.52528],[-114.72139,32.72083],[-115.99135,32.61239],[-117.12776,32.53534],[-117.29594,33.04622],[-117.944,33.62124],[-118.4106,33.74091],[-118.51989,34.02778],[-119.081,34.078],[-119.43884,34.34848],[-120.36778,34.44711],[-120.62286,34.60855],[-120.74433,35.15686],[-121.71457,36.16153],[-122.54747,37.55176],[-122.51201,37.78339],[-122.95319,38.11371],[-123.7272,38.95166],[-123.86517,39.76699],[-124.39807,40.3132],[-124.17886,41.14202],[-124.2137,41.99964],[-124.53284,42.76599],[-124.14214,43.70838],[-124.02053,44.6159],[-123.89893,45.52341],[-124.07963,46.86475],[-124.39567,47.72017],[-124.68721,48.18443],[-124.5661,48.37971],[-123.12,48.04],[-122.58736,47.096],[-122.34,47.36],[-122.5,48.18],[-122.84,49],[-120,49],[-117.03121,49],[-116.04818,49],[-113,49],[-110.05,49],[-107.05,49],[-104.04826,48.99986],[-100.65,49],[-97.22872,49.0007],[-95.15907,49],[-95.15609,49.38425],[-94.81758,49.38905]]],[[[-153.00631,57.11584],[-154.00509,56.73468],[-154.5164,56.99275],[-154.67099,57.4612],[-153.76278,57.81657],[-153.22873,57.96897],[-152.56479,57.90143],[-152.14115,57.59106],[-153.00631,57.11584]]],[[[-165.57916,59.90999],[-166.19277,59.75444],[-166.84834,59.94141],[-167.45528,60.21307],[-166.46779,60.38417],[-165.67443,60.29361],[-165.57916,59.90999]]],[[[-171.73166,63.78252],[-171.11443,63.59219],[-170.49111,63.69498],[-169.68251,63.43112],[-168.68944,63.29751],[-168.77194,63.1886],[-169.52944,62.97693],[-170.29056,63.19444],[-170.67139,63.37582],[-171.55306,63.31779],[-171.79111,63.40585],[-171.73166,63.78252]]],[[[-155.06779,71.14778],[-154.34417,70.69641],[-153.90001,70.88999],[-152.21001,70.82999],[-152.27,70.60001],[-150.73999,70.43002],[-149.72,70.53001],[-147.61336,70.21403],[-145.68999,70.12001],[-144.92001,69.98999],[-143.58945,70.15251],[-142.07251,69.85194],[-140.98599,69.712],[-140.9925,66.00003],[-140.99777,60.3064],[-140.013,60.27684],[-139.039,60.00001],[-138.34089,59.56211],[-137.4525,58.905],[-136.47972,59.46389],[-135.47583,59.78778],[-134.945,59.27056],[-134.27111,58.86111],[-133.35555,58.41029],[-132.73042,57.69289],[-131.70781,56.55212],[-130.00778,55.91583],[-129.97999,55.285],[-130.53611,54.80275],[-131.08582,55.17891],[-131.96721,55.49778],[-132.25001,56.37],[-133.53918,57.17889],[-134.07806,58.12307],[-135.03821,58.18771],[-136.62806,58.21221],[-137.80001,58.5],[-139.86779,59.53776],[-140.82527,59.72752],[-142.57444,60.08445],[-143.95888,59.99918],[-145.92556,60.45861],[-147.11437,60.88466],[-148.22431,60.67299],[-148.01807,59.97833],[-148.57082,59.91417],[-149.72786,59.70566],[-150.60824,59.36821],[-151.71639,59.15582],[-151.85943,59.74498],[-151.40972,60.7258],[-150.34694,61.03359],[-150.62111,61.28442],[-151.89584,60.7272],[-152.57833,60.06166],[-154.01917,59.35028],[-153.28751,58.86473],[-154.23249,58.14637],[-155.30749,57.72779],[-156.30833,57.42277],[-156.5561,56.97998],[-158.11722,56.46361],[-158.43332,55.99415],[-159.60333,55.56669],[-160.28972,55.64358],[-161.22305,55.36473],[-162.23777,55.02419],[-163.06945,54.68974],[-164.78557,54.40417],[-164.94223,54.57222],[-163.84834,55.03943],[-162.87,55.34804],[-161.80417,55.89499],[-160.5636,56.00805],[-160.07056,56.41806],[-158.68444,57.01668],[-158.4611,57.21692],[-157.72277,57.57],[-157.55027,58.32833],[-157.04167,58.91888],[-158.19473,58.6158],[-158.51722,58.78778],[-159.05861,58.42419],[-159.71167,58.93139],[-159.98129,58.57255],[-160.35527,59.07112],[-161.355,58.67084],[-161.96889,58.67166],[-162.05499,59.26693],[-161.87417,59.63362],[-162.51806,59.98972],[-163.81834,59.79806],[-164.66222,60.26748],[-165.34639,60.5075],[-165.35083,61.0739],[-166.12138,61.50002],[-165.73445,62.075],[-164.91918,62.63308],[-164.56251,63.14638],[-163.75333,63.21945],[-163.06722,63.05946],[-162.26056,63.54194],[-161.53445,63.45582],[-160.77251,63.76611],[-160.95834,64.2228],[-161.51807,64.40279],[-160.77778,64.7886],[-161.39193,64.77724],[-162.45305,64.55944],[-162.75779,64.33861],[-163.54639,64.55916],[-164.96083,64.44695],[-166.42529,64.68667],[-166.845,65.0889],[-168.11056,65.67],[-166.70527,66.08832],[-164.47471,66.57666],[-163.65251,66.57666],[-163.7886,66.07721],[-161.67777,66.11612],[-162.48971,66.73557],[-163.71972,67.11639],[-164.43099,67.61634],[-165.39029,68.04277],[-166.76444,68.35888],[-166.20471,68.88303],[-164.43081,68.91554],[-163.16861,69.37111],[-162.93057,69.85806],[-161.9089,70.33333],[-160.9348,70.44769],[-159.03918,70.89164],[-158.11972,70.82472],[-156.58082,71.35776],[-155.06779,71.14778]]]]},\"properties\":{\"name\":\"United States\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db68650c","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":230986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":230987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wieben, Ann M.","contributorId":85649,"corporation":false,"usgs":true,"family":"Wieben","given":"Ann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":230988,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":45012,"text":"wri014112 - 2001 - Geochemistry and origins of mineralized waters in the Floridan aquifer system, northeastern Florida","interactions":[],"lastModifiedDate":"2012-02-02T00:10:55","indexId":"wri014112","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2001-4112","title":"Geochemistry and origins of mineralized waters in the Floridan aquifer system, northeastern Florida","docAbstract":"Increases in chloride concentration have been observed in water from numerous wells tapping the Floridan aquifer system in northeastern Florida. Although most increases have been in the eastern part of Duval County, Florida, no spatial pattern in elevated chloride concentrations is discernible. Possible sources of the mineralized water include modern seawater intrusion; unflushed Miocene-to-Pleistocene-age seawater or connate water in aquifer sediments; or mineralized water from deeper zones of the aquifer system or from formations beneath the Floridan aquifer system. The purpose of this study was to document the chemical and isotopic characteristics of water samples from various aquifer zones, and from geochemical and hydrogeologic data, to infer the source of the increased mineralization. \r\n\r\nWater samples were collected from 53 wells in northeastern Florida during 1997-1999. Wells tapped various zones of the aquifer including: the Fernandina permeable zone (FPZ), the upper zone of the Lower Floridan aquifer (UZLF), the Upper Floridan aquifer (UFA), and both the UFA and the UZLF. Water samples were analyzed for major ions and trace constituents and for isotopes of carbon, oxygen, hydrogen, sulfur, strontium, chlorine, and boron. Samples of rock from the aquifer were analyzed for isotopes of oxygen, carbon, and strontium. \r\n\r\nIn general, water from various aquifer zones cannot be differentiated based on chemistry, except for water from FPZ wells. Major-ion concentrations vary as much within the upper zone of the Lower Floridan aquifer and the Upper Floridan aquifer as between these two zones. Simple models of mixing between fresh ground water and either modern seawater or water from the FPZ as a mineralized end member show that many water samples from the UZLF aquifer and the UFA are enriched in bicarbonate, calcium, magnesium, sulfate, fluoride, and silica and are depleted in sodium and potassium (as compared to concentrations predicted by simple mixing). Chemical mass-balance models of mixing and reactions between a hypothetical initial seawater and aquifer minerals cannot account for the observed water chemistry in a few wells, implying a source other than seawater, either ancient or modern, or the occurrence of other more complex rock-water reactions. \r\n\r\nHydrogeologic and geochemical data from water and aquifer samples indicate that the most likely source of mineralized water in some wells yielding water with increasing chloride concentrations is water from the FPZ. In other wells, the flushing of Miocene-to-Pleistocene-age seawater can account for the observed chloride concentrations. The fact that most of the water samples collected are a mixture of less than one percent of mineralized water with more than 99 percent fresh or recharge water makes identifying the source of the mineralized water difficult. Differences in carbon-14 and sulfur-34 values probably reflect areal differences in aquifer mineralogy and distribution of organic carbon related to paleokarst features. Geochemical mass-balance models of seawater-rock interaction are unable to account for the chemical and isotopic composition of mineralized water from the FPZ, which implies another source of mineralized water, such as a brine, or the occurrence of more complex water-rock reactions.","language":"ENGLISH","doi":"10.3133/wri014112","usgsCitation":"Phelps, G.G., 2001, Geochemistry and origins of mineralized waters in the Floridan aquifer system, northeastern Florida: U.S. Geological Survey Water-Resources Investigations Report 2001-4112, vi, 64 p. : ill., maps ; 28 cm., https://doi.org/10.3133/wri014112.","productDescription":"vi, 64 p. : ill., maps ; 28 cm.","costCenters":[],"links":[{"id":168391,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":3879,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri014112/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1fe4b07f02db6ab72c","contributors":{"authors":[{"text":"Phelps, G. G.","contributorId":82346,"corporation":false,"usgs":true,"family":"Phelps","given":"G.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":230915,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":44995,"text":"wri014245 - 2001 - Evapotranspiration from a cypress and pine forest subjected to natural fires, Volusia County, Florida, 1998-99","interactions":[],"lastModifiedDate":"2017-09-20T12:42:26","indexId":"wri014245","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2001-4245","title":"Evapotranspiration from a cypress and pine forest subjected to natural fires, Volusia County, Florida, 1998-99","docAbstract":"Daily values of evapotranspiration from a watershed in Volusia County, Florida, were estimated for a 2-year period (January 1998 through December 1999) by using an energy-budget variant of the eddy correlation method and a Priestley-Taylor model. The watershed consisted primarily of pine flatwood uplands interspersed within cypress wetlands. A drought-induced fire in spring 1998 burned about 40 percent of the watershed, most of which was subsequently logged. The model reproduced the 449 measured values of evapotranspiration reasonably well (r2=0.90) over a wide range of seasonal and surface-cover conditions. Annual evapotranspiration from the watershed was estimated to be 916 millimeters (36 inches) for 1998 and 1,070 millimeters (42 inches) for 1999. Evapotranspiration declined from near potential rates in the wet conditions of January 1998 to less than 50 percent of potential evapotranspiration after the fire and at the peak of the drought in June 1998. After the drought ended in early July 1998 and water levels returned to near land-surface, evapotranspiration increased sharply; however, the evapotranspiration rate was only about 60 percent of the potential rate in the burned areas, compared to about 90 percent of the potential rate in the unburned areas. This discrepancy can be explained as a result of fire damage to vegetation. Beginning in spring 1999, evapotranspiration from burned areas increased sharply relative to unburned areas, sometimes exceeding unburned evapotranspiration by almost 100 percent. Possible explanations for the dramatic increase in evapotranspiration from burned areas could include phenological changes associated with maturation or seasonality of plants that emerged after the fire or successional changes in composition of plant community within burned areas.
Variations in daily evapotranspiration are primarily the result of variations in surface cover, net radiation, photosynthetically active radiation, air temperature, and water-table depth. A water budget for the watershed supports the validity of the daily measurements and estimates of evapotranspiration. A water budget constructed using independent estimates of average rates of rainfall, runoff, and deep leakage, as well as evapotranspiration, was consistent within 3.8 percent. An alternative water budget constructed using evapotrans-piration estimated by the standard eddy correlation method was consistent only within 9.1 percent. This result indicates that the standard eddy correlation method is not as accurate as the energy-budget variant.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri014245","collaboration":"Prepared in cooperation with St. Johns River Water Management District County of Volusia","usgsCitation":"Sumner, D.M., 2001, Evapotranspiration from a cypress and pine forest subjected to natural fires, Volusia County, Florida, 1998-99: U.S. Geological Survey Water-Resources Investigations Report 2001-4245, viii, 56 p. , https://doi.org/10.3133/wri014245.","productDescription":"viii, 56 p. ","costCenters":[],"links":[{"id":162449,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":3866,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri014245","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","county":"Volusia County","otherGeospatial":"Tiger Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.24,\n 29.17\n ],\n [\n -81.11,\n 29.17\n ],\n [\n -81.11,\n 29.13\n ],\n [\n -81.24,\n 29.13\n ],\n [\n -81.24,\n 29.17\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9ada","contributors":{"authors":[{"text":"Sumner, D. M.","contributorId":100827,"corporation":false,"usgs":true,"family":"Sumner","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":230874,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":45043,"text":"wri014053 - 2001 - Hydrology of C-3 watershed, Seney National Wildlife Refuge, Michigan","interactions":[],"lastModifiedDate":"2017-01-25T15:28:08","indexId":"wri014053","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2001-4053","title":"Hydrology of C-3 watershed, Seney National Wildlife Refuge, Michigan","docAbstract":"Proposed changes to watershed management practices near C-3 Pool at Seney National Wildlife Refuge will affect surface-water flow patterns, ground-water levels, and possibly local plant communities. Data were collected between fall 1998 and spring 2000 to document existing conditions and to assess potential changes in hydrology that might occur as a consequence of modifications to water management practices in C-3 watershed.
Minimum and maximum measured inflows and outflows for the study period are presented in light of proposed management changes to C-3 watershed. Streamflows ranged from 0 to 8.61 cubic meters per second. Low or zero flow was generally measured in late summer and early fall, and highest flows were measured during spring runoff and winter rain events. Ground-water levels varied by about a half meter, with levels closest to or above the land surface during spring runoff into the early summer, and with levels generally below land surface during late fall into early winter.
A series of optional management practices that could conserve and restore habitat of the C-3 watershed is described. Modifications to the existing system of a drainage ditch and control structures are examined, as are the possibilities of reconnecting streams to their historical channels and the construction of additional or larger control structures to further manage the distribution of water in the watershed. The options considered could reduce erosion, restore presettlement streamflow conditions, and modify the ground-water gradient.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Lansing, MI","doi":"10.3133/wri014053","usgsCitation":"Sweat, M.J., 2001, Hydrology of C-3 watershed, Seney National Wildlife Refuge, Michigan: U.S. Geological Survey Water-Resources Investigations Report 2001-4053, PHP Document, https://doi.org/10.3133/wri014053.","productDescription":"PHP Document","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":170781,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":3904,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri014053","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan","otherGeospatial":"Seney National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.11495971679688, 46.34266158311293 ], [ -86.26155853271484, 46.34289859337118 ], [ -86.26327514648438, 46.23067803830134 ], [ -86.22379302978514, 46.230440541999506 ], [ -86.22379302978514, 46.226877974151705 ], [ -86.13590240478516, 46.227115485868595 ], [ -86.13624572753906, 46.15938305533438 ], [ -86.01093292236328, 46.158431830697126 ], [ -86.01093292236328, 46.16390114779357 ], [ -86.00715637207031, 46.16556561464647 ], [ -86.00578308105469, 46.1760268245766 ], [ -86.0006332397461, 46.17650228684226 ], [ -86.0006332397461, 46.18315832690901 ], [ -85.98793029785156, 46.18363372751015 ], [ -85.98861694335938, 46.186486044787195 ], [ -85.98037719726562, 46.18696141661177 ], [ -85.98072052001953, 46.19432915420975 ], [ -85.97488403320312, 46.19456680672094 ], [ -85.9741973876953, 46.21690155405162 ], [ -85.97145080566406, 46.21713910893101 ], [ -85.97179412841797, 46.219752144776876 ], [ -85.96012115478516, 46.21903951096931 ], [ -85.95977783203125, 46.21737666278269 ], [ -85.93196868896484, 46.21642644120982 ], [ -85.9299087524414, 46.21998968732403 ], [ -85.9292221069336, 46.225215363358814 ], [ -85.92887878417969, 46.231153027822046 ], [ -85.92887878417969, 46.23352791376573 ], [ -85.9292221069336, 46.23946467902409 ], [ -85.93471527099608, 46.23946467902409 ], [ -85.93746185302734, 46.23946467902409 ], [ -85.93952178955078, 46.24183920528805 ], [ -85.92819213867188, 46.24658794952197 ], [ -85.92887878417969, 46.250624058927734 ], [ -85.92819213867188, 46.25988224656725 ], [ -85.92681884765624, 46.28290224282112 ], [ -85.93677520751953, 46.29808539982842 ], [ -85.94295501708983, 46.29903420739236 ], [ -85.94364166259766, 46.302829273239304 ], [ -85.94913482666016, 46.302829273239304 ], [ -85.94879150390625, 46.31658418182218 ], [ -85.95256805419922, 46.3177697879667 ], [ -85.95359802246094, 46.32488288538415 ], [ -86.11564636230469, 46.32464579703593 ], [ -86.11495971679688, 46.34266158311293 ] ] ] } } ] }\n","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db604b0e","contributors":{"authors":[{"text":"Sweat, Michael J. mjsweat@usgs.gov","contributorId":356,"corporation":false,"usgs":true,"family":"Sweat","given":"Michael","email":"mjsweat@usgs.gov","middleInitial":"J.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":230981,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":44875,"text":"wri20014180 - 2001 - Simulated Effects of Alternative Pumping Strategies on Ground-Water-Flow Patterns and Areas Contributing Recharge to Selected Wells near Kenvil, Morris County, New Jersey","interactions":[],"lastModifiedDate":"2012-03-08T17:16:14","indexId":"wri20014180","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2001-4180","title":"Simulated Effects of Alternative Pumping Strategies on Ground-Water-Flow Patterns and Areas Contributing Recharge to Selected Wells near Kenvil, Morris County, New Jersey","docAbstract":"Ground-water-flow patterns and areas contributing recharge to supply wells change in response to new or altered pumping stresses. An understanding of these potential changes is essential for the effective evaluation of possible future water-supply alternatives, especially if the supply wells may be vulnerable to contamination from the land surface. Demand for water from a valley-fill and carbonate-rock aquifer system in the study area near Kenvil in Morris County, New Jersey, is expected to increase as the population of communities grows in and near the area. As withdrawals increase and new supplies are developed over time, ground-water-flow patterns and areas contributing recharge to supply wells in the area are expected to change. \r\n\r\nFlow patterns and areas contributing recharge to selected supply wells in the aquifer system in the study area, under a variety of hypothetical withdrawal conditions, were evaluated by use of numerical modeling techniques. Under the four alternative scenarios evaluated, withdrawals from selected wells are increased by a total of 1.3 to 2.4 million gallons per day, or 32 to 56 percent over the recent (1991-95) total withdrawals from the study area. The scenarios were incorporated in simulations of ground-water flow that were conducted by use of a previously developed three-dimensional numerical model. \r\n\r\nFlow-path comparisons indicate that ground-water-flow patterns change in response to changes in pumping rates and (or) new pumping stresses. Under the scenarios represented in the simulations, water levels (hydraulic heads) in the study area decline from 0 to as much as 63 ft. Under most of the scenarios evaluated, downward leakage of ground water increases and upward discharge to streams decreases. In some scenarios, supply wells intercept additional local flow, whereas in other scenarios additional regional flow is intercepted. Areas contributing recharge to wells also change or develop. Changes in flow patterns and in the location, size, and shape of areas contributing recharge to supply wells depend on the location and magnitude of the change in withdrawal stress and on other hydrogeologic factors, such as the configuration of aquifer boundaries and differences in aquifer properties.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/wri20014180","collaboration":"Prepared in cooperation with the Morris County Municipal Utilities Authority","usgsCitation":"Spitz, F.J., and Nicholson, R.S., 2001, Simulated Effects of Alternative Pumping Strategies on Ground-Water-Flow Patterns and Areas Contributing Recharge to Selected Wells near Kenvil, Morris County, New Jersey: U.S. Geological Survey Water-Resources Investigations Report 2001-4180, iii, 32 p., https://doi.org/10.3133/wri20014180.","productDescription":"iii, 32 p.","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":134765,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11706,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri01-4180/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.91666666666667,40.666666666666664 ], [ -74.91666666666667,41 ], [ -74.5,41 ], [ -74.5,40.666666666666664 ], [ -74.91666666666667,40.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49b8e4b07f02db5ccd39","contributors":{"authors":[{"text":"Spitz, Frederick J. 0000-0002-1391-2127 fspitz@usgs.gov","orcid":"https://orcid.org/0000-0002-1391-2127","contributorId":2777,"corporation":false,"usgs":true,"family":"Spitz","given":"Frederick","email":"fspitz@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":230595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholson, Robert S. rnichol@usgs.gov","contributorId":2283,"corporation":false,"usgs":true,"family":"Nicholson","given":"Robert","email":"rnichol@usgs.gov","middleInitial":"S.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":230594,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":44905,"text":"wri994270 - 2001 - Gore Creek watershed, Colorado — Assessment of historical and current water quantity, water quality, and aquatic ecology, 1968–98","interactions":[],"lastModifiedDate":"2022-02-02T21:28:24.334817","indexId":"wri994270","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"99-4270","title":"Gore Creek watershed, Colorado — Assessment of historical and current water quantity, water quality, and aquatic ecology, 1968–98","docAbstract":"The historical and current (1998) water-quantity, water-quality, and aquatic-ecology conditions in the Gore Creek watershed are described as part of a study by the U.S. Geological Survey, done in cooperation with the Town of Vail, the Eagle River Water and Sanitation District, and the Upper Eagle Regional Water Authority. Interpretation of the available water-quantity, water-quality, and aquatic-ecology data collected by various agencies since 1968 showed that background geology and land use in the watershed influence the water quality and stream biota.
Surface-water nutrient concentrations generally increased as water moved downstream through the Town of Vail, but concentrations at the mouth of Gore Creek were typical when compared with national data for urban/undeveloped sites. Nitrate concentrations in Gore Creek were highest just downstream from a wastewater-treatment plant discharge, but concentrations decreased at sites farther downstream because of dilution and nitrogen uptake by algae. Recent total phosphorus concentrations were somewhat elevated when compared to the U.S. Environmental Protection Agency recommended level of 0.10 milligram per liter for control of eutrophication in flowing water. However, total phosphorus concentrations at the mouth of Gore Creek were relatively low when compared to a national study of phosphorus in urban land-use areas.
Historically, suspended sediment associated with construction of Interstate 70 in the early 1970's has been of primary concern; however, recent data indicate that streambed aggradation of sediment originating from Interstate 70 traction sanding currently is a greater concern. About 4,000 tons of coarse sand and fine gravel is washed into Black Gore Creek each year following application of traction materials to Interstate 70 during adverse winter driving conditions. Suspended-sediment concentrations were low in Black Gore Creek; however, bedload-transport rates of as much as 4 tons per day have been measured.
Water samples were collected during spring and fall of 1997 from five alluvial monitoring wells located throughout the Town of Vail. Nutrient concentrations generally were low in the alluvial monitoring wells. Specific-conductance values ranged from 265 to 557 microsiemens per centimeter at 25 degrees Celsius. Concentrations of radon in monitoring-well samples exceeded the 300-picocuries-per-liter U.S. Environmental Protection Agency proposed maximum contaminant level (which has been suspended pending further review). Low levels of bacteria and methylene blue active substances indicate there is little or no wastewater contamination of shallow ground water in the vicinity of the monitoring wells and one of the municipal water-supply wells. Ground-water ages in the alluvial aquifer ranged from about 2 to about 50 years old. These ages indicate that changes in land-management practices may not have an effect on ground-water quality for many years.
Differences in macroinvertebrate-community structure were found among sites in Gore Creek by evaluating changes in relative abundance, total abundance, and dominant functional feeding groups of the major macroinvertebrate groups. Ephemeroptera (mayflies), Plecoptera (stoneflies), Trichoptera (caddisflies), and Coleoptera (beetles) exhibited relatively low tolerance to water-quality degradation when compared with Diptera (midges) and non-insects (sludge worms). More than 80 percent of the macroinvertebrate community at sites located farthest upstream was composed of mayflies, stoneflies, and caddisflies, indicating favorable water-quality and habitat conditions. The relative percentages of midges and sludge worms greatly increased in the downstream reaches of Gore Creek, which drain relatively larger areas of urban and recreation land uses, indicating the occurrence of nutrient and organic enrichment in Gore Creek.
The macroinvertebrate community in Black Gore Creek indicated adverse effects from sediment deposition. Macroinvertebrate abundance was considerably reduced at the two sites where streambed sediment was more prevalent; however, differences in abundance also may have been related to differences in habitat and availability of food resources.
The lower 4 miles of Gore Creek, downstream from Red Sandstone Creek, have been designated a Gold Medal fishery in recognition of the high recreational value of the abundant brown trout community. Gore Creek contained twice as many trout as a reference site with similar habitat characteristics in Rocky Mountain National Park.
Moderate increases in nutrient concentrations above background conditions have increased the growth and abundance potential for aquatic life in Gore Creek, while at the same time, esthetic and water-quality conditions have remained favorable. The spatial distribution of nitrate concentrations was consistent with the observed spatial distribution of algal biomass and macroinvertebrate-community characteristics. Algal biomass was limited by available resources (sunlight and nutrients) in the upstream reaches of Gore Creek and limited by macroinvertebrate grazing and water-quality conditions in the downstream reaches. The fish community has benefited from enhanced biological production in the downstream reach of Gore Creek. Increases in algal biomass and macroinvertebrate abundance, in response to higher nutrient concentrations, provide ample food resources necessary to support the abundant fish community.
Trace-element data for surface water, ground water, streambed sediment, fish tissue, and macroinvertebrate tissue indicate that concentrations are generally low in the Gore Creek watershed. In streambed-sediment samples, cadmium, copper, and zinc concentrations were below background levels reported for the Upper Colorado River Basin in Colorado. Concentrations of cadmium, copper, iron, and silver in surface water have occasionally exceeded stream standards in the past, but recent surface-water data indicate these trace elements currently are not of concern. Manganese concentrations commonly exceeded the 50-microgram-per-liter stream standard in Black Gore Creek. Elevated manganese concentrations were primarily attributable to the sedimentary geology of the area.
Concentrations of organic constituents are low in the Gore Creek watershed. Pesticides were detected infrequently and at low concentrations in surface-water, ground-water, bed-sediment, and whole-body fish-tissue samples. Volatile organic compounds also were detected at low concentrations in surface- and ground-water samples.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri994270","usgsCitation":"Wynn, K.H., Bauch, N.J., and Driver, N.E., 2001, Gore Creek watershed, Colorado — Assessment of historical and current water quantity, water quality, and aquatic ecology, 1968–98: U.S. Geological Survey Water-Resources Investigations Report 99-4270, v, 72 p., https://doi.org/10.3133/wri994270.","productDescription":"v, 72 p.","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":162164,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":395310,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_43712.htm"},{"id":3788,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri994270","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Gore Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.45,\n 39.532\n ],\n [\n -106.176,\n 39.532\n ],\n [\n -106.176,\n 39.716\n ],\n [\n -106.45,\n 39.716\n ],\n [\n -106.45,\n 39.532\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db6728bf","contributors":{"authors":[{"text":"Wynn, Kirby H.","contributorId":37316,"corporation":false,"usgs":true,"family":"Wynn","given":"Kirby","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":230655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bauch, Nancy J. 0000-0002-0302-2892 njbauch@usgs.gov","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":1297,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy","email":"njbauch@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":230654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driver, Nancy E.","contributorId":67858,"corporation":false,"usgs":true,"family":"Driver","given":"Nancy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":230656,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":44987,"text":"wri014225 - 2001 - Assessment of water-quality conditions in the J.B. Converse Lake watershed, Mobile County, Alabama, 1990-98","interactions":[],"lastModifiedDate":"2012-02-02T00:10:12","indexId":"wri014225","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2001-4225","title":"Assessment of water-quality conditions in the J.B. Converse Lake watershed, Mobile County, Alabama, 1990-98","docAbstract":"J.B. Converse (Converse) Lake is a 3,600-acre, tributary-storage reservoir in Mobile County, southwestern Alabama. The lake serves as the primary drinking-water supply for the city of Mobile. The Converse Lake watershed lies within the Coastal Plain Physiographic Province. Semiconsolidated to unconsolidated sediments of sand, silt, gravel, and clay underlie the watershed, and are covered by acidic soils. Land use in the watershed is mainly forest (64 percent) and agriculture (31 percent). Residential and commercial development account for only 1 percent of the total land use in the watershed.\r\n\r\nConverse Lake receives inflow from seven major tributaries. The greatest inflows are from Big Creek, Crooked Creek, and Hamilton Creek that had mean annual streamflows of 72.2, 19.4, and 25.0 cubic feet per second, respectively, for the period 1990 to 1998, which represents about 72 percent of the total annual streamflow to the lake. The total mean annual inflow to the lake is estimated to be about 163 cubic feet per second.\r\n\r\nIn general, water quality in Converse Lake and its tributaries meets the criteria established by the Alabama Department of Environmental Management (ADEM) for drinking-water supplies, whole-body contact, and aquatic life. The exceptions include acidic pH levels, iron and manganese levels above secondary or aesthetic criteria, and fecal bacterial levels in some tributaries above whole-body contact (swimmable) criteria. The pH levels throughout the watershed were commonly below the criteria level of 6.0, but this appears to have been a naturally occurring phenomenon caused by poorly buffered soil types, resistant sediments, and forested land use. Median iron and manganese levels were above aesthetic criteria levels of 300 and 50 micrograms per liter, respectively, in some tributaries. All tributary sites in the Converse Lake watershed had median and minimum dissolved-oxygen concentrations above the ADEM criteria level of 5 milligrams per liter except for Boggy Branch, which had a minimum dissolved-oxygen concentration of 3.7 milligrams per liter.\r\n\r\nThe degree to which nutrient contributions from tributaries were causing nutrient enrichment and eutrophication in Converse Lake was assessed. Trend analysis detected little or no change in nutrient concentrations at the tributary and lake sites in the Converse Lake watershed from the 1991 to 1998 water years. Nutrient concentrations at most tributary sites exhibited a significant, positive relation with streamflow that indicated the dominant source of nutrient input to the watershed is from nonpoint contributions. From 1990 to 1998, computed mean annual loads of 75,400 kilograms of total nitrogen, 36,950 kilograms of total Kjeldahl nitrogen, 28,870 kilograms of total inorganic nitrogen, and 3,480 kilograms of total phosphorus were contributed to the lake by Big Creek, Hamilton Creek, and Crooked Creek combined. These mean annual loads of nutrients corresponded to borderline eutrophic/mesotrophic conditions in the lake. Of the combined loads, 62 percent of the total nitrogen, 70 percent of the total Kjeldahl nitrogen, 54 percent of the total inorganic nitrogen, and 47 percent of the total phosphorus originated from the forested subbasin of Big Creek. The more residential and agricultural subbasins of Crooked Creek and Hamilton Creek, however, yielded over twice the total phosphorus load per hectare of land use. Crooked and Hamilton Creek subbasins also had higher yields of the more bioavailable total inorganic nitrogen. A simplistic empirical model could not explain the relation between year-to-year nutrient contributions to Converse Lake from the tributaries and the lake's ability to assimilate those contributions.\r\n\r\nThe potential presence of pathogens in the lake and its tributaries was assessed based on fecal bacterial concentrations. Fecal bacterial concentrations at some tributary sites were above existing criteria for swimmable uses. Contributions of fecal bacte","language":"ENGLISH","doi":"10.3133/wri014225","usgsCitation":"Journey, C.A., and Gill, A.C., 2001, Assessment of water-quality conditions in the J.B. Converse Lake watershed, Mobile County, Alabama, 1990-98: U.S. Geological Survey Water-Resources Investigations Report 2001-4225, vii, 131 p. : col. ill., col. maps ; 28 cm., https://doi.org/10.3133/wri014225.","productDescription":"vii, 131 p. : col. ill., col. maps ; 28 cm.","costCenters":[],"links":[{"id":99358,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2001/4225/report.pdf","size":"21162","linkFileType":{"id":1,"text":"pdf"}},{"id":3862,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri014225","linkFileType":{"id":5,"text":"html"}},{"id":162708,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2001/4225/report-thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66cf31","contributors":{"authors":[{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":230856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, Amy C. 0000-0002-5738-9390 acgill@usgs.gov","orcid":"https://orcid.org/0000-0002-5738-9390","contributorId":220,"corporation":false,"usgs":true,"family":"Gill","given":"Amy","email":"acgill@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":230855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}