{"pageNumber":"364","pageRowStart":"9075","pageSize":"25","recordCount":10450,"records":[{"id":70014423,"text":"70014423 - 1988 - Age and height distribution of holocene transgressive deposits in eastern North Island, New Zealand","interactions":[],"lastModifiedDate":"2025-06-11T17:03:37.836386","indexId":"70014423","displayToPublicDate":"2003-04-22T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Age and height distribution of holocene transgressive deposits in eastern North Island, New Zealand","docAbstract":"<p><span>Holocene transgressive deposits are frequently exposed near the present-day coastline of the study area along eastern North Island, New Zealand. They occur in sites of former estuaries that were filled during the postglacial rise in sea level. We present one hundred radiocarbon dates of Holocene transgressive deposits from the study area, ranging in age from ca. 10,000 to 5500 yr B.P. Relative sea level curves up to ca. 6000 yr B.P. were reconstructed for six locations. The curves have similar slopes prior to about 7000 yr B.P., indicating that sea level rise was much more rapid than any tectonic uplift at that time.</span></p><p><span>The postglacial rise in sea level in New Zealand is considered, in general, to have culminated at about 6500 yr B.P. but the upper limit ages of transgressive deposits in our study area vary from ca. 5500 to 7000 yr B.P. At sites where the uplift rate is high the postglacial transgression culminated rather earlier than ca. 6500 yr B.P., and at sites where there is subsidence or there is very low uplift the culmination is later than ca. 6500 yr B.P.</span></p><p><span>Nine of fourteen dates from fossil trees in growth position, that grew in and were buried by estuarine silt, cluster in the age range ca. 8000–8400 yr B.P. These data support the view that there was a minor regression or stillstand in the eustatic sea level rise at that time.</span></p><p><span>Eleven tectonic subregions are recognized in the study area on the basis of average uplift rate. Most of these subregions coincide with those established from the number and ages of younger Holocene marine terraces of probable coseismic origin.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/0031-0182(88)90036-3","issn":"00310182","usgsCitation":"Ota, Y., Berryman, K., Hull, A., Miyauchi, T., and Iso, N., 1988, Age and height distribution of holocene transgressive deposits in eastern North Island, New Zealand: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 68, no. 2-4, p. 135-151, https://doi.org/10.1016/0031-0182(88)90036-3.","productDescription":"17 p.","startPage":"135","endPage":"151","costCenters":[],"links":[{"id":225311,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"North Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              178.6417968642865,\n              -37.46958737784347\n            ],\n            [\n              174.6587686953701,\n              -37.46958737784347\n            ],\n            [\n              174.6587686953701,\n              -41.87420821870442\n            ],\n            [\n              178.6417968642865,\n              -41.87420821870442\n            ],\n            [\n              178.6417968642865,\n              -37.46958737784347\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"68","issue":"2-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e8dde4b0c8380cd47f17","contributors":{"authors":[{"text":"Ota, Y.","contributorId":22504,"corporation":false,"usgs":true,"family":"Ota","given":"Y.","email":"","affiliations":[],"preferred":false,"id":368365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berryman, K.R.","contributorId":33464,"corporation":false,"usgs":true,"family":"Berryman","given":"K.R.","email":"","affiliations":[],"preferred":false,"id":368366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hull, A.G.","contributorId":9776,"corporation":false,"usgs":true,"family":"Hull","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":368364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miyauchi, T.","contributorId":97259,"corporation":false,"usgs":true,"family":"Miyauchi","given":"T.","email":"","affiliations":[],"preferred":false,"id":368368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iso, N.","contributorId":47095,"corporation":false,"usgs":true,"family":"Iso","given":"N.","email":"","affiliations":[],"preferred":false,"id":368367,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70014862,"text":"70014862 - 1988 - Paleolimnology of Lake Tubutulik, an iron-meromictic Eocene Lake, eastern Seward Peninsula, Alaska","interactions":[],"lastModifiedDate":"2025-07-23T15:58:13.829338","indexId":"70014862","displayToPublicDate":"2003-04-14T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3368,"text":"Sedimentary Geology","active":true,"publicationSubtype":{"id":10}},"title":"Paleolimnology of Lake Tubutulik, an iron-meromictic Eocene Lake, eastern Seward Peninsula, Alaska","docAbstract":"<p><span>Sideritic lacustrine mudstone was found in drill core from a uranium deposit in the Death Valley area in the eastern part of the Seward Peninsula, Alaska. The precursor sediments for this rock were deposited in an unusual “iron-meromictic” Eocene lake, herein named Lake Tubutulik, which occupied part of the Boulder Creek basin, a structural graben that is probably a southern extension of the larger Death Valley basin. The Boulder Creek basin is bounded on the west by granite of the Late Cretaceous Darby Pluton, on the east by Precambrian to Paleozoic metasedimentary rocks. The lake basin was formed by basaltic flows that dammed the river valley of the ancestral Tubutulik River in early Eocene time. Lake Tubutulik contained a nearshore facies of fine-grained organic mud and an offshore facies of laminated sideritic mud. The offshore (profundal) laminated mudstone consists of alternating layers of authigenic siderite and detrital layers containing mostly quartz and clay minerals. Both lacustrine facies contain turbidities. The lacustrine sediments graded laterally into an onshore facies of colluvial and fluvial sandstone, paludal mudstone, and coal.</span></p><p><span>The ancient lake apparently occupied a small deep basin in a tectonically active area of high relief. Meromixus was probably stabilized by reduced iron and bicarbonate dissolved in the monimolimnion. The intensity of meromixus decreased as the lake became shallower from sediment filling. The source of the iron, abundant in the monimolimnion of Lake Tubutulik, was probably the Eocene basalt. Based on carbon isotope analysis of the siderite, the dissolved bicarbonate in the profundal facies was largely inorganic. Sideritic carbon in one sample from the onshore paludal facies has an isotopic signature (<i>δ</i><sup>13</sup>C = +16.9) consistent with residual carbon formed during methanogenic fermentation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/0037-0738(88)90038-3","issn":"00370738","usgsCitation":"Dickinson, K.A., 1988, Paleolimnology of Lake Tubutulik, an iron-meromictic Eocene Lake, eastern Seward Peninsula, Alaska: Sedimentary Geology, v. 54, no. 4, p. 303-320, https://doi.org/10.1016/0037-0738(88)90038-3.","productDescription":"18 p.","startPage":"303","endPage":"320","costCenters":[],"links":[{"id":225798,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"eastern Seward Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -168.56866198677457,\n              66.86135114826158\n            ],\n            [\n              -168.56866198677457,\n              64.30825678061103\n            ],\n            [\n              -160.65347847293947,\n              64.30825678061103\n            ],\n            [\n              -160.65347847293947,\n              66.86135114826158\n            ],\n            [\n              -168.56866198677457,\n              66.86135114826158\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a73ffe4b0c8380cd7739b","contributors":{"authors":[{"text":"Dickinson, Kendall A.","contributorId":293002,"corporation":false,"usgs":false,"family":"Dickinson","given":"Kendall","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":369469,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70013759,"text":"70013759 - 1988 - Daily cycles in coastal dunes","interactions":[],"lastModifiedDate":"2025-07-23T16:26:32.627866","indexId":"70013759","displayToPublicDate":"2003-04-11T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3368,"text":"Sedimentary Geology","active":true,"publicationSubtype":{"id":10}},"title":"Daily cycles in coastal dunes","docAbstract":"<p><span>Daily cycles of summer sea breezes produce distinctive cyclic foreset deposits in dune sands of the Texas and Oregon coasts. In both areas the winds are strong enough to transport sand only during part of the day, reach a peak during the afternoon, and vary little in direction during the period of sand transport. Cyclicity in the foreset deposits is made evident by variations in the type of sedimentary structure, the texture, and the heavy-mineral content of the sand. Some of the cyclic deposits are made up entirely of one basic type of structure, in which the character of the structure varies cyclically; for example, the angle of climb in a climbing-wind-ripple structure may vary cyclically. Other cyclic deposits are characterized by alternations of two or more structural types. Variations in the concentration of fine-grained heavy minerals, which account for the most striking cyclicity, arise mainly because of segregation on wind-rippled depositional surfaces: where the ripples climb at low angles, the coarsegrained light minerals, which accumulate preferentially on ripple crests, tend to be excluded from the local deposit. Daily cyclic deposits are thickest and best developed on small dunes and are least recognizable near the bases of large dunes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/0037-0738(88)90089-9","issn":"00370738","usgsCitation":"Hunter, R.E., and Richmond, B.M., 1988, Daily cycles in coastal dunes: Sedimentary Geology, v. 55, no. 1-2, p. 43-67, https://doi.org/10.1016/0037-0738(88)90089-9.","productDescription":"25 p.","startPage":"43","endPage":"67","costCenters":[],"links":[{"id":219821,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Texas","volume":"55","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fd59e4b0c8380cd4e7ba","contributors":{"authors":[{"text":"Hunter, R. E.","contributorId":48148,"corporation":false,"usgs":true,"family":"Hunter","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":366805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":366806,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70013733,"text":"70013733 - 1988 - An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data","interactions":[],"lastModifiedDate":"2025-07-17T15:54:35.25532","indexId":"70013733","displayToPublicDate":"2003-04-11T00:00:00","publicationYear":"1988","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":"An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data","docAbstract":"<p><span>Digital analysis of remotely sensed data has become an important component of many earth-science studies. These data are often processed through a set of preprocessing or “clean-up” routines that includes a correction for atmospheric scattering, often called haze. Various methods to correct or remove the additive haze component have been developed, including the widely used dark-object subtraction technique. A problem with most of these methods is that the haze values for each spectral band are selected independently. This can create problems because atmospheric scattering is highly wavelength-dependent in the visible part of the electromagnetic spectrum and the scattering values are correlated with each other. Therefore, multispectral data such as from the Landsat Thematic Mapper and Multispectral Scanner must be corrected with haze values that are spectral band dependent. An improved dark-object subtraction technique is demonstrated that allows the user to select a&nbsp;</span><i>relative</i><span>&nbsp;atmospheric scattering model to predict the haze values for all the spectral bands from a selected starting band haze value. The improved method normalizes the predicted haze values for the different gain and offset parameters used by the imaging system. Examples of haze value differences between the old and improved methods for Thematic Mapper Bands 1, 2, 3, 4, 5, and 7 are 40.0, 13.0, 12.0, 8.0, 5.0, and 2.0 vs. 40.0, 13.2, 8.9, 4.9, 16.7, and 3.3, respectively, using a relative scattering model of a clear atmosphere. In one Landsat multispectral scanner image the haze value differences for Bands 4, 5, 6, and 7 were 30.0, 50.0, 50.0, and 40.0 for the old method vs. 30.0, 34.4, 43.6, and 6.4 for the new method using a relative scattering model of a hazy atmosphere.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/0034-4257(88)90019-3","issn":"00344257","usgsCitation":"Chavez, P.S., 1988, An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data: Remote Sensing of Environment, v. 24, no. 3, p. 459-479, https://doi.org/10.1016/0034-4257(88)90019-3.","productDescription":"21 p.","startPage":"459","endPage":"479","costCenters":[],"links":[{"id":220218,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"northern Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.51428402871795,\n              35.76132241917742\n            ],\n            [\n              -112.51428402871795,\n              35.12484483192148\n            ],\n            [\n              -111.06027608212764,\n              35.12484483192148\n            ],\n            [\n              -111.06027608212764,\n              35.76132241917742\n            ],\n            [\n              -112.51428402871795,\n              35.76132241917742\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"24","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ea6ee4b0c8380cd48869","contributors":{"authors":[{"text":"Chavez, Pat S. Jr.","contributorId":39870,"corporation":false,"usgs":true,"family":"Chavez","given":"Pat","suffix":"Jr.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":366748,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":34934,"text":"b1594 - 1988 - Natural aggregates of the conterminous United States","interactions":[],"lastModifiedDate":"2025-05-07T18:37:36.576465","indexId":"b1594","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":306,"text":"Bulletin","code":"B","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1594","title":"Natural aggregates of the conterminous United States","docAbstract":"Crushed stone and sand and gravel are the two main sources of natural aggregates. These materials are commonly used construction materials and frequently can be interchanged with one another. They are widely used throughout the United States, with every State except two producing crushed stone. Together they amount to about half the mining volume in the United States. Approximately 96 percent of sand and gravel and 77 percent of the crushed stone produced in the United States are used in the construction industry. \r\nNatural aggregates are widely distributed throughout the United States in a variety of geologic environments. Sand and gravel deposits commonly are the results of the weathering of bedrock and subsequent transportation and deposition of the material by water or ice (glaciers). As such, they commonly occur as river or stream deposits or in glaciated areas as glaciofluvial and other deposits. Crushed stone aggregates are derived from a wide variety of parent bedrock materials. Limestone and other carbonates account for approximately three quarters of the rocks used for crushed stone, with granite and other igneous rocks making up the bulk of the remainder. Limestone deposits are widespread throughout the Central and Eastern United States and are scattered in the West. Granites are widely distributed in the Eastern and Western United States, with few exposures in the Midwest. Igneous rocks (excluding granites) are largely concentrated in the Western United States and in a few isolated localities in the East. \r\nEven though natural aggregates are widely distributed throughout the United States, they are not universally available for consumptive use. Some areas are devoid of sand and gravel, and potential sources of crushed stone may be covered with sufficient unconsolidated material to make surface mining impractical. In some areas many aggregates do not meet the physical property requirements for certain uses, or they may contain mineral constituents that react adversely when used as concrete aggregate. \r\nIn areas where suitable natural aggregate is not available or accessible, it may become necessary to improve the quality of existing aggregate, to import aggregate from outside the area, or to substitute artificial aggregate for natural aggregate. In most cases, all of these alternatives add substantially to the cost of the final product. Even though an area may be blessed with an abundance of aggregate suitable for the intended purpose, existing land uses, zoning, or regulations may preclude commercial exploitation of the aggregate. \r\nThis report also discusses the aggregate industry in general terms, including exploration, mining, and processing, as well as aggregate production rates. Proper long-range planning based on an understanding of the aggregate industry can help assure adequate supplies of aggregate.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/b1594","usgsCitation":"Langer, W.H., 1988, Natural aggregates of the conterminous United States (Version 1.0): U.S. Geological Survey Bulletin 1594, Report: 33 p.; 2 Plates: 42.50 x 31.00 inches, https://doi.org/10.3133/b1594.","productDescription":"Report: 33 p.; 2 Plates: 42.50 x 31.00 inches","costCenters":[],"links":[{"id":110407,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_21810.htm","linkFileType":{"id":5,"text":"html"}},{"id":3382,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/bul/b1594/","linkFileType":{"id":5,"text":"html"}},{"id":164349,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n  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-76.32933,\n                38.08326\n              ],\n              [\n                -76.99,\n                38.23999\n              ],\n              [\n                -76.30162,\n                37.91794\n              ],\n              [\n                -76.25874,\n                36.9664\n              ],\n              [\n                -75.9718,\n                36.89726\n              ],\n              [\n                -75.86804,\n                36.55125\n              ],\n              [\n                -75.72749,\n                35.55074\n              ],\n              [\n                -76.36318,\n                34.80854\n              ],\n              [\n                -77.39763,\n                34.51201\n              ],\n              [\n                -78.05496,\n                33.92547\n              ],\n              [\n                -78.55435,\n                33.86133\n              ],\n              [\n                -79.06067,\n                33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                -82.24,\n                26.73\n              ],\n              [\n                -82.70515,\n                27.49504\n              ],\n              [\n                -82.85526,\n                27.88624\n              ],\n              [\n                -82.65,\n                28.55\n              ],\n              [\n                -82.93,\n                29.1\n              ],\n              [\n                -83.70959,\n                29.93656\n              ],\n              [\n                -84.1,\n                30.09\n              ],\n              [\n                -85.10882,\n                29.63615\n              ],\n              [\n                -85.28784,\n                29.68612\n              ],\n              [\n                -85.7731,\n                30.15261\n              ],\n              [\n                -86.4,\n                30.4\n              ],\n              [\n                -87.53036,\n                30.27433\n              ],\n              [\n                -88.41782,\n                30.3849\n              ],\n              [\n                -89.18049,\n                30.31598\n              ],\n              [\n                -89.59383,\n                30.15999\n              ],\n              [\n                -89.41373,\n                29.89419\n              ],\n              [\n                -89.43,\n                29.48864\n              ],\n              [\n                -89.21767,\n                29.29108\n              ],\n              [\n                -89.40823,\n                29.15961\n              ],\n              [\n                -89.77928,\n                29.30714\n              ],\n              [\n                -90.15463,\n                29.11743\n              ],\n              [\n                -90.88022,\n                29.14854\n              ],\n              [\n                -91.62678,\n                29.677\n              ],\n              [\n                -92.49906,\n                29.5523\n              ],\n              [\n                -93.22637,\n                29.78375\n              ],\n              [\n                -93.84842,\n                29.71363\n              ],\n              [\n                -94.69,\n                29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                -99.52,\n                27.54\n              ],\n              [\n                -100.11,\n                28.11\n              ],\n              [\n                -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4814e4b07f02db4daaf7","contributors":{"authors":[{"text":"Langer, William H. blanger@usgs.gov","contributorId":1241,"corporation":false,"usgs":true,"family":"Langer","given":"William","email":"blanger@usgs.gov","middleInitial":"H.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":false,"id":213834,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":14856,"text":"ofr88104 - 1988 - Selected annotated bibliographies for adaptive filtering of digital image data","interactions":[],"lastModifiedDate":"2017-03-28T13:17:15","indexId":"ofr88104","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1988","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":"88-104","title":"Selected annotated bibliographies for adaptive filtering of digital image data","docAbstract":"<p>Digital spatial filtering is an important tool both for enhancing the information content of satellite image data and for implementing cosmetic effects which make the imagery more interpretable and appealing to the eye. Spatial filtering is a context-dependent operation that alters the gray level of a pixel by computing a weighted average formed from the gray level values of other pixels in the immediate vicinity.</p><p>Traditional spatial filtering involves passing a particular filter or set of filters over an entire image. This assumes that the filter parameter values are appropriate for the entire image, which in turn is based on the assumption that the statistics of the image are constant over the image. However, the statistics of an image may vary widely over the image, requiring an adaptive or \"smart\" filter whose parameters change as a function of the local statistical properties of the image. Then a pixel would be averaged only with more typical members of the same population. </p><p>This annotated bibliography cites some of the work done in the area of adaptive filtering. The methods usually fall into two categories, (a) those that segment the image into subregions, each assumed to have stationary statistics, and use a different filter on each subregion, and (b) those that use a two-dimensional \"sliding window\" to continuously estimate the filter either the spatial or frequency domain, or may utilize both domains. They may be used to deal with images degraded by space variant noise, to suppress undesirable local radiometric statistics while enforcing desirable (user-defined) statistics, to treat problems where space-variant point spread functions are involved, to segment images into regions of constant value for classification, or to \"tune\" images in order to remove (nonstationary) variations in illumination, noise, contrast, shadows, or haze.</p><p>Since adpative filtering, like nonadaptive filtering, is used in image processing to accomplish various goals, this bibliography is organized in subsections based on application areas. Contrast enhancement, edge enhancement, noise suppression, and smoothing are typically performed in order imaging process, (for example, degradations due to the optics and electronics of the sensor, or to blurring caused by the intervening atmosphere, uniform motion, or defocused optics). Some of the papers listed may apply to more than one of the above categories; when this happens the paper is listed under the category for which the paper's emphasis is greatest. A list of survey articles is also supplied. These articles are general discussions on adaptive filters and reviews of work done. Finally, a short list of miscellaneous articles are listed which were felt to be sufficiently important to be included, but do not fit into any of the above categories. This bibliography, listing items published from 1970 through 1987, is extensive, but by no means complete. It is intended as a guide for scientists and image analysts, listing references for background information as well as areas of significant development in adaptive filtering.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr88104","usgsCitation":"Mayers, M., and Wood, L., 1988, Selected annotated bibliographies for adaptive filtering of digital image data: U.S. Geological Survey Open-File Report 88-104, iii, 36 p., https://doi.org/10.3133/ofr88104.","productDescription":"iii, 36 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":146869,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1988/0104/report-thumb.jpg"},{"id":43654,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1988/0104/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fa776","contributors":{"authors":[{"text":"Mayers, Margaret","contributorId":75548,"corporation":false,"usgs":true,"family":"Mayers","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":170131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Lynnette","contributorId":8863,"corporation":false,"usgs":true,"family":"Wood","given":"Lynnette","email":"","affiliations":[],"preferred":false,"id":170130,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":13871,"text":"ofr88329 - 1988 - Flow in the unsaturated zone, Tucson, Arizona","interactions":[],"lastModifiedDate":"2012-02-02T00:06:37","indexId":"ofr88329","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1988","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":"88-329","title":"Flow in the unsaturated zone, Tucson, Arizona","docAbstract":"Field studies in Tucson, Arizona were conducted based on the discovery of contaminants in groundwater from a substantial number of municipal and private wells, and evidence that the presence of a thick unsaturated zone does not prevent the eventual migration of contaminants to regional groundwater systems. A pulse of water containing a tracer was monitored as it passed through the unsaturated zone by using six soil-moisture samplers (lysimeters) that were installed at depths of 11 to 45 ft, 10 ft apart, beneath a shallow, manmade, 3/4-acre recharge basin. The tracer was allowed to infiltrate into the ground for seven days, and water was collected from samplers at 12-hr intervals for about 30 days. Well defined tracer peaks, presented graphically as tracer breakthrough curves, were observed for all but one of the lysimeters installed at the site. Maximum tracer concentration showed no consistent relation with depth; tracer breakthrough sometimes occurred earlier in deep sampling locations than in shallow ones. Rather than moving straight down, water movement occurred along preferential flow paths, referred to as bypass or macropore flow, probably at low soil tension which occurs when the soil is near saturation. Under such conditions, contaminant arrival times can occur sooner than would be expected if flow was assumed to occur as a uniform wetting front that pushes ahead of it the water previously stored in the pores of the unsaturated sediments. Much of the water stored in the soil profile is not involved under conditions of bypass flow, and less interaction occurs between the recharge water and the solid matrix of the unsaturated zone. Therefore certain substances such as chlorinated hydrocarbons (trichloroethylene, pesticides) , other refractory organic compounds (detergents, humic acid), and microorganisms (bacteria) could pass into the underlying groundwater. Results of this study have applicability throughout the southwestern United States as well as in other parts of the country where the practice of artificial recharge is being considered. (Lantz-PTT)","language":"ENGLISH","publisher":"U.S. Geological Survey,","doi":"10.3133/ofr88329","usgsCitation":"Graham, D., 1988, Flow in the unsaturated zone, Tucson, Arizona: U.S. Geological Survey Open-File Report 88-329, 2 p. :ill. ;28 cm., https://doi.org/10.3133/ofr88329.","productDescription":"2 p. :ill. ;28 cm.","costCenters":[],"links":[{"id":144415,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1988/0329/report-thumb.jpg"},{"id":42486,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1988/0329/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d8e4b07f02db5df246","contributors":{"authors":[{"text":"Graham, D. D.","contributorId":68314,"corporation":false,"usgs":true,"family":"Graham","given":"D. D.","affiliations":[],"preferred":false,"id":168540,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":1893,"text":"wsp2319 - 1988 - Effect of water quality on survival of Lahontan cutthroat trout eggs in the Truckee River, west-central Nevada and eastern California","interactions":[{"subject":{"id":19375,"text":"ofr84437 - 1984 - Effect of water quality on survival of Lahontan Cutthroat trout eggs in the , west-central Nevada and eastern California","indexId":"ofr84437","publicationYear":"1984","noYear":false,"title":"Effect of water quality on survival of Lahontan Cutthroat trout eggs in the , west-central Nevada and eastern California"},"predicate":"SUPERSEDED_BY","object":{"id":1893,"text":"wsp2319 - 1988 - Effect of water quality on survival of Lahontan cutthroat trout eggs in the Truckee River, west-central Nevada and eastern California","indexId":"wsp2319","publicationYear":"1988","noYear":false,"title":"Effect of water quality on survival of Lahontan cutthroat trout eggs in the Truckee River, west-central Nevada and eastern California"},"id":1}],"lastModifiedDate":"2016-01-12T11:44:23","indexId":"wsp2319","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":341,"text":"Water Supply Paper","code":"WSP","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2319","title":"Effect of water quality on survival of Lahontan cutthroat trout eggs in the Truckee River, west-central Nevada and eastern California","docAbstract":"The U.S. Fish and Wildlife Service has an ongoing program to assess the feasibility of reestablishing naturally spawning populations of Lahontan cutthroat trout in the Truckee River-Pyramid Lake system in Nevada. Previous in situ egg-survival studies have documented a 100 percent mortality of cutthroat trout eggs artificially planted in potential spawning gravels in the Truckee River downstream from Reno. The relation between ambient river-quality conditions and the observed mortality of eggs, however, has not been adequately documented. This study was designed to monitor the quality of surface and intragravel water during a trout-egg incubation period that began March 10, 1980. Five sites were monitored: two upstream from Reno (background sites), one near Reno, and two downstream from Wadsworth. \r\n\r\nAfter an incubation period of about 30 days, poor egg survival was recorded at all sites, including an unexpected high mortality at the upstream background sites. Analyses of the data indicated that the principal cause of egg mortality at the two downstream sites was low concentrations (less than 5 milligrams per liter) of intragravel dissolved oxygen. Low water temperatures, rather than degraded water-quality conditions, largely contributed to the poor survival at the upstream sites. \r\n\r\nBased on the results of this study, the following were considered unlikely to be mortality factors during the incubation period: (1) high water temperatures; (2) toxicity due to ammonia, nitrite, nitrate, arsenic, cadmium, copper, iron, lead, manganese, mercury, and zinc; and (3) decreasing intragravel dissolved oxygen caused by inflow of oxygen-poor ground water.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wsp2319","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and U.S. Bureau of Indian Affairs","usgsCitation":"Hoffman, R., and Scoppettone, G.G., 1988, Effect of water quality on survival of Lahontan cutthroat trout eggs in the Truckee River, west-central Nevada and eastern California: U.S. Geological Survey Water Supply Paper 2319, iv, 21 p. , https://doi.org/10.3133/wsp2319.","productDescription":"iv, 21 p. ","numberOfPages":"28","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":138403,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wsp/2319/report-thumb.jpg"},{"id":27182,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wsp/2319/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California, Nevada","otherGeospatial":"Truckee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.72052001953125,\n              39.059716474034666\n            ],\n            [\n              -120.72052001953125,\n              40.23550866893913\n            ],\n            [\n              -118.12774658203125,\n              40.23550866893913\n            ],\n            [\n              -118.12774658203125,\n              39.059716474034666\n            ],\n            [\n              -120.72052001953125,\n              39.059716474034666\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db6253a9","contributors":{"authors":[{"text":"Hoffman, Ray J.","contributorId":53770,"corporation":false,"usgs":true,"family":"Hoffman","given":"Ray J.","affiliations":[],"preferred":false,"id":144324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scoppettone, Gary G.","contributorId":23925,"corporation":false,"usgs":true,"family":"Scoppettone","given":"Gary","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":144323,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":14701,"text":"ofr8881 - 1988 - Sediment discharge data for the lower reach of Campbell Creek, Anchorage, Alaska; May to September 1987","interactions":[],"lastModifiedDate":"2012-02-02T00:07:03","indexId":"ofr8881","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1988","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":"88-81","title":"Sediment discharge data for the lower reach of Campbell Creek, Anchorage, Alaska; May to September 1987","docAbstract":"Streamflow and suspended-sediment data were collected at three sites, two upstream and one downstream from the proposed bridge construction site in Anchorage, Alaska. Immediately downstream from the study reach, the creek enters Campbell Lake, an artificial impoundment in which sedimentation is becoming of concern to recreational users and lakeside residents. (USGS)","language":"ENGLISH","publisher":"U.S. Geological Survey,","doi":"10.3133/ofr8881","usgsCitation":"Lipscomb, S.W., 1988, Sediment discharge data for the lower reach of Campbell Creek, Anchorage, Alaska; May to September 1987: U.S. Geological Survey Open-File Report 88-81, iv, 12 p. :ill., map ;28 cm., https://doi.org/10.3133/ofr8881.","productDescription":"iv, 12 p. :ill., map ;28 cm.","costCenters":[],"links":[{"id":147603,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1988/0081/report-thumb.jpg"},{"id":43468,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1988/0081/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fae4b07f02db5f3d00","contributors":{"authors":[{"text":"Lipscomb, S. W.","contributorId":65083,"corporation":false,"usgs":true,"family":"Lipscomb","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":169873,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174904,"text":"70174904 - 1988 - Selenium accumulation in benthic bivalves and fine sediments of San Francisco Bay, the Sacramento-San Joaquin Delta, and selected tributaries","interactions":[],"lastModifiedDate":"2020-01-12T13:31:35","indexId":"70174904","displayToPublicDate":"1990-01-01T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Selenium accumulation in benthic bivalves and fine sediments of San Francisco Bay, the Sacramento-San Joaquin Delta, and selected tributaries","docAbstract":"<p><span>Spatial distributions of selenium were determined in fine-grained, oxidized, surface sediments and in two benthic bivalves (</span><i>Corbicula</i><span>&nbsp;sp., a suspension-feeding freshwater clam, and&nbsp;</span><i>Macoma balthica</i><span>, a deposit-feeding brackish-water clam) within San Francisco Bay, the San Joaquin River and three river systems unlikely to be subject to selenium inputs. Biologically available selenium enters the middle reaches of the San Joaquin River from agricultural runoff. However, selenium concentrations in sediments and&nbsp;</span><i>Corbicula</i><span>&nbsp;in the lower San Joaquin, upstream from San Francisco Bay, were not significantly different from concentrations in rivers with no known selenium inputs. Biologically available selenium did not appear to enter the northernmost reach of San Francisco Bay from the San Joaquin River in levels which could measurably influence bioaccumulation by&nbsp;</span><i>Corbicula</i><span>. Selenium concentrations in&nbsp;</span><i>Corbicula</i><span>&nbsp;were enriched in the northernmost reach of San Francisco Bay compared with the rivers, but several lines of evidence suggested that local inputs (perhaps from urban/industrial waste discharges) were the most important sources. Selenium concentrations in&nbsp;</span><i>Macoma balthica</i><span>&nbsp;were also elevated at one station in the northern reach of the Bay and at one station in the extreme South Bay. However, no enrichment was evident at two other stations, suggesting a lack of bay-wide contamination. No significant correlation between selenium and mercury concentrations in&nbsp;</span><i>Corbicula</i><span>&nbsp;tissues was observed.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/0272-7714(88)90095-9","usgsCitation":"Johns, C., Luoma, S.N., and Elrod, V., 1988, Selenium accumulation in benthic bivalves and fine sediments of San Francisco Bay, the Sacramento-San Joaquin Delta, and selected tributaries: Estuarine, Coastal and Shelf Science, v. 27, no. 4, p. 381-396, https://doi.org/10.1016/0272-7714(88)90095-9.","productDescription":"16 p.","startPage":"381","endPage":"396","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":325488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta, San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.00292968749999,\n              36.94989178681327\n            ],\n            [\n              -121.70654296874999,\n              36.94989178681327\n            ],\n            [\n              -121.70654296874999,\n              38.24680876017446\n            ],\n            [\n              -123.00292968749999,\n              38.24680876017446\n            ],\n            [\n              -123.00292968749999,\n              36.94989178681327\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5790a190e4b030378fb4745d","contributors":{"authors":[{"text":"Johns, Carolyn","contributorId":173044,"corporation":false,"usgs":false,"family":"Johns","given":"Carolyn","email":"","affiliations":[],"preferred":false,"id":643082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":643083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elrod, Virginia","contributorId":173045,"corporation":false,"usgs":false,"family":"Elrod","given":"Virginia","email":"","affiliations":[],"preferred":false,"id":643084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206938,"text":"70206938 - 1988 - Relationships between silicic plutonism and volcanism: Geochemical evidence","interactions":[],"lastModifiedDate":"2019-11-29T19:43:40","indexId":"70206938","displayToPublicDate":"1988-12-31T19:35:43","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3642,"text":"Transactions of the Royal Society of Edinburgh, Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between silicic plutonism and volcanism: Geochemical evidence","docAbstract":"<p><span>Field associations (voluminous ash flow deposits, rhyolitic stocks and dykes, ring complexes), evidence of repeated influxes of mafic magma, and thermal constraints indicate that many high-level silicic plutons (magma chambers) acted as open systems for considerable parts of their history. The long thermal lifetime, as well as other evidence from the volcanic record, suggests that some such systems reached a quasi-steady state in which magma input was balanced by magma output for times longer than those required for crystallisation. Reconstruction of the evolution of large, long-lived caldera-forming systems, such as that of the Jemez Mountains, New Mexico, indicates that many chambers have lost a highly fractionated silicic cap, in some cases cyclically. Crystallised plutons may contain no obvious record of this evolutionary phase. Geochemical data from silicic ash flow deposits can be used to reconstruct the volcanic stage of pluton development. Many silicic systems, especially of alkaline affinity, apparently pass from a stage in which melt evolution is dominated by crystal-liquid processes to one in which other processes may also contribute to differentiation. Apparently, the transition is most readily achieved in volatile-rich, alkaline silicic systems emplaced in complex, ancient sialic crust of the cratons. Once established, the preservation of highly fractionated caps on magma chambers requires a balance between thermal input and cooling-induced crystallisation. If heat enters the system too quickly, the cap may get stirred into the dominant magma volume by convection. If heat input is too slow, the magma body will crystallise inward from the margins, and the plutonic-consolidation stage will begin. © 1988, Royal Society of Edinburgh. All rights reserved.</span></p>","language":"English","publisher":"Royal Society of Edinburgh ","doi":"10.1017/S0263593300014267","issn":"02635933","usgsCitation":"Macdonald, R., and Smith, R., 1988, Relationships between silicic plutonism and volcanism: Geochemical evidence: Transactions of the Royal Society of Edinburgh, Earth Sciences, v. 79 , no. 2-3, p. 257-263, https://doi.org/10.1017/S0263593300014267.","productDescription":"7 p. ","startPage":"257","endPage":"263","costCenters":[],"links":[{"id":369768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79 ","issue":"2-3","noUsgsAuthors":false,"publicationDate":"2011-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Macdonald, R.","contributorId":92402,"corporation":false,"usgs":true,"family":"Macdonald","given":"R.","affiliations":[],"preferred":false,"id":776326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, R.L.","contributorId":47422,"corporation":false,"usgs":true,"family":"Smith","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":776327,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204484,"text":"70204484 - 1988 - Habitat relationships of island nesting seabirds along Coastal Louisiana","interactions":[],"lastModifiedDate":"2019-07-26T12:02:38","indexId":"70204484","displayToPublicDate":"1988-12-31T12:00:36","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1272,"text":"Colonial Waterbirds","printIssn":"07386028","active":false,"publicationSubtype":{"id":10}},"title":"Habitat relationships of island nesting seabirds along Coastal Louisiana","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Seabirds in the saline marsh of coastal Louisiana nest on the islands that are more isolated, smaller, have lower percentages of woody vegetation, and higher percentages of herbaceous vegetation and beach habitat. Only moderate variation in these habitat features was demonstrated among years of colonization. The factors causing these preferences appear to be protection from mammalian predators and presence of suitable nesting habitat. Forster's Terns colonized islands with a lower beach percentage than those colonized by Laughing Gulls or Black Skimmers due to interspecific differences in preferred nesting substrate. Nest site tenacity was weak in that the majority (57%) of colonies was active during only one of the three years of survey. Extreme nest site tenacity is probably selected against in these highly unstable wetlands. However, those islands colonized perennially were more geographically isolated and had higher percentages of beach cover. The relationship between seabird nesting abundance and the habitat variables was low, implying a lack of fine tuning of population numbers to habitat at a local scale. Numerous islands potentially suitable for colonization by seabirds may exist along coastal Louisiana. But the presence of alternative nesting islands may be required due to the ever changing nature of these saline marsh wetlands.</span></span><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"Waterbird Society","doi":"10.2307/1520999","usgsCitation":"Greer, R.D., Cordes, C.L., and Anderson, S.H., 1988, Habitat relationships of island nesting seabirds along Coastal Louisiana: Colonial Waterbirds, v. 11, no. 2, p. 181-188, https://doi.org/10.2307/1520999.","productDescription":"8 p.","startPage":"181","endPage":"188","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":365987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","volume":"11","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Greer, Richard D.","contributorId":7339,"corporation":false,"usgs":true,"family":"Greer","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":767196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cordes, Carroll L.","contributorId":97170,"corporation":false,"usgs":true,"family":"Cordes","given":"Carroll","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":767197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Stanley H.","contributorId":68361,"corporation":false,"usgs":true,"family":"Anderson","given":"Stanley","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":767198,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193874,"text":"70193874 - 1988 - Biochemical changes in longear sunfish, Lepomis megalotis, associated with lead, cadmium and zinc from mine tailings","interactions":[],"lastModifiedDate":"2017-12-08T12:30:26","indexId":"70193874","displayToPublicDate":"1988-12-31T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Biochemical changes in longear sunfish, <i>Lepomis megalotis</i>, associated with lead, cadmium and zinc from mine tailings","title":"Biochemical changes in longear sunfish, Lepomis megalotis, associated with lead, cadmium and zinc from mine tailings","docAbstract":"<p><span>Longear sunfish were collected from a stream contaminated with mine tailings rich in lead (Pb), cadmium (Cd) and zinc (Zn). Blood samples were analysed for δ-aminolevulinic acid dehydratase (ALA-D) activity and Pb concentration. Vertebrae were tested for bone strength and composition, and Pb, Zn, and Cd concentrations were determined in muscle tissue. ALA-D activity was negatively correlated with blood Pb concentration (</span><i>r</i><span>=–0.66), and enzyme activity was significantly higher and blood Pb significantly lower at the reference site than at the contaminated sites. Blood Pb was highly correlated with Pb in muscle tissue (</span><i>r</i><span>= 0.72), and the concentrations of Pb and Cd in muscle tissues were themselves correlated (</span><i>r</i><span>= 0.64). In fish from contaminated sites, two of the mechanical properties of the vertebrae measured (elastic limit and modulus of elasticity) were significantly different from values in fish from the reference site. These properties and one other (stress) were weakly correlated with muscle Cd concentration (0.42 &lt;<span>&nbsp;</span></span><i>r</i><span><span>&nbsp;</span>&lt; 0.46). Biochemical differences among fish from different sites were also evident; concentrations of calcium, phosphorus and collagen were lower in the vertebrae of fish from some of the contaminated sites than at the reference site, and bone phosphorus was negatively correlated with concentrations of Pb in both muscle (</span><i>r</i><span>=– 0.62) and blood (</span><i>r</i><span>=– 0.75). Collectively, these results indicate that, in addition to the well-documented effects of Pb on haem synthesis, other important biochemical pathways may be disrupted by continuous low-level exposure to elemental contaminants.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1095-8649.1988.tb05473.x","usgsCitation":"Dwyer, F., Schmitt, C., Finger, S., and Mehrle, P., 1988, Biochemical changes in longear sunfish, Lepomis megalotis, associated with lead, cadmium and zinc from mine tailings: Journal of Fish Biology, v. 33, no. 2, p. 307-317, https://doi.org/10.1111/j.1095-8649.1988.tb05473.x.","productDescription":"11 p.","startPage":"307","endPage":"317","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":348342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.527099609375,\n              37.274052809979054\n            ],\n            [\n              -90.3076171875,\n              37.274052809979054\n            ],\n            [\n              -90.3076171875,\n              38.58252615935333\n            ],\n            [\n              -91.527099609375,\n              38.58252615935333\n            ],\n            [\n              -91.527099609375,\n              37.274052809979054\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2006-01-24","publicationStatus":"PW","scienceBaseUri":"5a613986e4b06e28e9c25eb5","contributors":{"authors":[{"text":"Dwyer, F.J.","contributorId":107818,"corporation":false,"usgs":true,"family":"Dwyer","given":"F.J.","email":"","affiliations":[],"preferred":false,"id":720845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmitt, C.J.","contributorId":119731,"corporation":false,"usgs":true,"family":"Schmitt","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":720846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finger, S.E.","contributorId":29769,"corporation":false,"usgs":true,"family":"Finger","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":720847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mehrle, P. M.","contributorId":91767,"corporation":false,"usgs":true,"family":"Mehrle","given":"P. M.","affiliations":[],"preferred":false,"id":720848,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189634,"text":"70189634 - 1988 - Groundwater velocity magnitude in radionuclide transport calculations","interactions":[],"lastModifiedDate":"2024-12-12T21:46:38.323668","indexId":"70189634","displayToPublicDate":"1988-12-31T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater velocity magnitude in radionuclide transport calculations","docAbstract":"<p>Analytical solutions have been developed for many conceptual models of solute transport in groundwater (Bear 1979). Although these models usually rely on assumptions too restrictive for accurate description of actual field situations, they are useful in understanding groundwater transport and in evaluating the relative importance of the subsurface processes affecting transport. In addition, these simple models are often used for generic and screening-type analyses of groundwater contamination problems (Kent et al. 1985). For example, the Nuclear Regulatory Commission assesses potential doses resulting from the disposal of very slightly contaminated material in the ground using analytical solutions for one- and two-dimensional groundwater transport (Codell and Schreiber 1979; Codell et al. 1982; Goode et al. 1986). This note presents a method for determining a \"worst-case\" groundwater velocity value for two conceptual models of decaying radionuclide transport, resulting in maximum calculated point concentration. </p>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)0733-9429(1988)114:8(933)","usgsCitation":"Goode, D., 1988, Groundwater velocity magnitude in radionuclide transport calculations: Journal of Hydraulic Engineering, v. 114, no. 8, p. 933-939, https://doi.org/10.1061/(ASCE)0733-9429(1988)114:8(933).","productDescription":"7 p.","startPage":"933","endPage":"939","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":344000,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596f1e28e4b0d1f9f064077e","contributors":{"authors":[{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":705524,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70121904,"text":"70121904 - 1988 - Book review of Wildlife 2000: Modeling relationships of terrestrial vertebrates, edited by J. Verner, M.L. Morrison, and C.J. Ralph","interactions":[],"lastModifiedDate":"2014-08-25T10:32:08","indexId":"70121904","displayToPublicDate":"1988-12-01T10:26:15","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3783,"text":"The Wilson Bulletin","printIssn":"0043-5643","active":true,"publicationSubtype":{"id":10}},"title":"Book review of Wildlife 2000: Modeling relationships of terrestrial vertebrates, edited by J. Verner, M.L. Morrison, and C.J. Ralph","docAbstract":"\"Wildlife 2000\" is the proceedings of a conference held 7-11 October 1984, near Lake Tahoe, California, the objective of which was to present an up-to-date synthesis of models that predict the responses of wildlife to habitat change.  This extremely attractive, well-produced volume has been well received by the wildlife management profession; the editors received an outstanding publication award from The Wildlife Society for this publication.  The accolades are deserved.  The symposium was purposely integrated in terms of research and management perspectives.  Each of the six sections is summarized by both research and management points of view.  A majority of the 60 papers presented deal with birds.  Although many chapters require a strong quantitative background, especially in multivariate statistics, many others do not.  When one compares this publication with previous habitat-modeling symposia proceedings, one realizes what a superior contribution \"Wildlife 2000\" is, and how incredible far wildlife-habitat modelers have come in a short time.  There are very few redundant papers of \"nonpapers\" in this volume.  The wide array of modeling procedures, statistical methods, and computer software developed and used by the authors is impressive; we have indeed learned how to build models.  Whether or not we have learned how to build good models is another question.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wilson Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wilson Ornithological Society","publisherLocation":"Lawrence, KS","usgsCitation":"Cooper, R.J., 1988, Book review of Wildlife 2000: Modeling relationships of terrestrial vertebrates, edited by J. Verner, M.L. Morrison, and C.J. Ralph: The Wilson Bulletin, v. 100, no. 4, p. 697-699.","productDescription":"3 p.","startPage":"697","endPage":"699","numberOfPages":"3","costCenters":[],"links":[{"id":292954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fc4dc4e4b0413fd75d6a5b","contributors":{"authors":[{"text":"Cooper, Robert J.","contributorId":99245,"corporation":false,"usgs":false,"family":"Cooper","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":499313,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70199720,"text":"70199720 - 1988 - Trace element residues in bluegills and common carp from the lower San Joaquin River, California, and its tributaries","interactions":[],"lastModifiedDate":"2018-09-26T10:56:44","indexId":"70199720","displayToPublicDate":"1988-09-01T10:56:24","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Trace element residues in bluegills and common carp from the lower San Joaquin River, California, and its tributaries","docAbstract":"<p>Whole-body samples of bluegills (Lepomis macrochirus) and common carp (Cyprinus carpio) from the San Joaquin River and two tributaries (Merced River and Salt Slough) were analyzed to determine if the concentrations of any of nine elements were elevated as a result of exposure of the fish to agricultural subsurface (tile) drainage water. Highest concentrations (μg/g dry weight) detected were as follows (first number in each pair applies to bluegills and the second to carp): arsenic (As), 0.97 and 1.5; boron (B), 14 and 20; cadmium (Cd), 0.14 and 0.27; chromium (Cr), 2.7 and 2.2; mercury (hg), 3.3 and 2.9; molybdenum (Mo), 2.8 and 3.6; nickel (Ni), 0.87 and 2.2; lead (Pb), 0.26 and 2.3; and selenium (Se), 3.2 and 5.5. The lowest concentrations were below the levels of detection, except for Hg (0.15 in bluegills and 0.12 in carp) and Se (0.43 and 0.56). As judged by comparisons with data from the National Contaminant Biomonitoring Program and other published surveys, the concentrations of B, Hg, Mo, and Se were moderately elevated in fish from several sites in the San Joaquin Valley. However, only the Se concentrations were positively correlated with water quality variables (e.g., total alkalinity, conductivity, and turbidity) known to be influenced by irrigation return flows. Historical data from one site (Salt Slough), where trace elements in whole fish have been measured since 1969, indicated that Se concentrations increased more than twofold between 1973 and 1977, but thereafter remained near 3.0 μg g−1 (dry weight basis), presumably due to the continuing practice of disposing seleniferous tile drainage water into the most convenient stream channel. <br></p>","language":"English","publisher":"Elsevier","doi":"10.1016/0048-9697(88)90138-6","usgsCitation":"Saiki, M.K., and May, T.W., 1988, Trace element residues in bluegills and common carp from the lower San Joaquin River, California, and its tributaries: Science of the Total Environment, v. 74, p. 199-217, https://doi.org/10.1016/0048-9697(88)90138-6.","productDescription":"19 p.","startPage":"199","endPage":"217","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin River","volume":"74","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c113001e4b034bf6a824ced","contributors":{"authors":[{"text":"Saiki, Michael K.","contributorId":54671,"corporation":false,"usgs":true,"family":"Saiki","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":746321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":746322,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70199731,"text":"70199731 - 1988 - Effects of spatial orientation of multiple plate artificial substrates on invertebrate colonization","interactions":[],"lastModifiedDate":"2018-09-26T13:03:33","indexId":"70199731","displayToPublicDate":"1988-08-01T13:02:45","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Effects of spatial orientation of multiple plate artificial substrates on invertebrate colonization","docAbstract":"<p><span>Jumbo multiple plate samplers were suspended in a river at 0.3 and 1 m depth in one of three orientations: interplate spaces closed to downwelling light and open to flow, open to light and flow, or open to light and closed to flow. Mean numbers of colonizing taxa and individuals were not significantly different among orientations after eight weeks of submergence. All variables tested decreased significantly with depth. Mean number of taxa, number of individuals (1 m only), and insect diversity decreased between samplings at four and eight weeks for samplers that were closed to light and open to flow. All orientations, depths, and durations had one‐half to two‐thirds of the total taxa. Colonization was affected by location in the river and position on sampler suspension equipment. The results indicate lack of orientation effects on colonization or high variability that obscured such effects. The sampler suspension equipment possibly increased among‐sampler variability by forming artificial snag habitats, and interplate light and flow conditions at different orientations may not have been sufficiently distinct to elicit different biological responses. Individual samplers provided diverse microhabitats regardless of orientation, but it would be prudent to include orientation among the variables considered in use of multiple plate samplers.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/j.1752-1688.1988.tb00929.x","usgsCitation":"Slack, K.V., Ferreira, R.F., Averert, R., and Kennelly, S., 1988, Effects of spatial orientation of multiple plate artificial substrates on invertebrate colonization: Journal of the American Water Resources Association, v. 24, no. 4, p. 781-789, https://doi.org/10.1111/j.1752-1688.1988.tb00929.x.","productDescription":"9 p.","startPage":"781","endPage":"789","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"24","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-06-08","publicationStatus":"PW","scienceBaseUri":"5c113001e4b034bf6a824cf1","contributors":{"authors":[{"text":"Slack, K. V.","contributorId":82386,"corporation":false,"usgs":true,"family":"Slack","given":"K.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":746384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferreira, R. F.","contributorId":80690,"corporation":false,"usgs":true,"family":"Ferreira","given":"R.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":746385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Averert, R.C.","contributorId":208201,"corporation":false,"usgs":false,"family":"Averert","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":746386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennelly, S.S.","contributorId":75697,"corporation":false,"usgs":true,"family":"Kennelly","given":"S.S.","email":"","affiliations":[],"preferred":false,"id":746387,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":1013384,"text":"1013384 - 1988 - Summer production of coho salmon stocked in Mount St. Helens streams 3-6 years after the 1980 eruption","interactions":[],"lastModifiedDate":"2026-04-07T16:13:40.267998","indexId":"1013384","displayToPublicDate":"1988-07-01T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Summer production of coho salmon stocked in Mount St. Helens streams 3-6 years after the 1980 eruption","docAbstract":"<p><span>We monitored habitat use and summer production of stocked underyearling coho salmon&nbsp;</span><i>Oncorhynchus kisutch</i><span>&nbsp;from 1983 to 1986 in three streams affected by the 1980 eruption of Mount St. Helens, Washington. Two streams were in the blast area and one was on a volcanic mudflow terrace, Midsummer water temperatures frequently exceeded presumed stressful thresholds and occasionally surpassed the incipient lethal limit. Temperatures at the study sites (up to 29.5°C) may have been the highest ever recorded in small streams in western Washington. In addition, there was relatively little submerged cover and limited pool habitat. Despite the severe conditions created by the eruption, production rates of stocked coho salmon at all sites ranged from 15.1 to 143.8 mg/m</span><sup>2</sup><span>·d (2.3–21.6 g/m</span><sup>2</sup><span>&nbsp;over an average 150‐d summer period) and were equal to or greater than those measured in other streams of comparable size in the region. Coho salmon production in the streams was more strongly influenced by population biomass and density than by average individual growth rate. Production was also influenced by timing and average weight at stocking; larger fish stocked later in the summer had higher survival than smaller fish stocked earlier. Apparent summer mortality (true mortality plus emigration) may have been influenced by the presence of other salmonids. Coho salmon density at the end of summer was consistently lowest in the mudflow stream, the only site to have a large population of steelhead (anadromous rainbow trout&nbsp;</span><i>Oncorhynchus mykiss</i><span>, formerly&nbsp;</span><i>Salmo gairdneri</i><span>). We suspected that an abundance of both terrestrial and aquatic food was partly responsible for the high summer production of stocked coho salmon in what was an otherwise hostile environment.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1577/1548-8659(1988)117<0322:SPOCSS>2.3.CO;2","usgsCitation":"Bisson, P., Nielsen, J., and Ward, J., 1988, Summer production of coho salmon stocked in Mount St. Helens streams 3-6 years after the 1980 eruption: Transactions of the American Fisheries Society, v. 117, no. 4, p. 322-335, https://doi.org/10.1577/1548-8659(1988)117<0322:SPOCSS>2.3.CO;2.","productDescription":"14 p.","startPage":"322","endPage":"335","costCenters":[{"id":106,"text":"Alaska Biological Science Center","active":false,"usgs":true}],"links":[{"id":129805,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.3695048526613,\n              46.32827537459718\n            ],\n            [\n              -122.3695048526613,\n              46.07975816647601\n            ],\n            [\n              -122.00137080284843,\n              46.07975816647601\n            ],\n            [\n              -122.00137080284843,\n              46.32827537459718\n            ],\n            [\n              -122.3695048526613,\n              46.32827537459718\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"117","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db6986b3","contributors":{"authors":[{"text":"Bisson, P.A.","contributorId":17944,"corporation":false,"usgs":true,"family":"Bisson","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":318631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nielsen, J.L.","contributorId":105665,"corporation":false,"usgs":true,"family":"Nielsen","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":318633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, J.W.","contributorId":54930,"corporation":false,"usgs":true,"family":"Ward","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":318632,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185537,"text":"70185537 - 1988 - Arsenic in ground water of the Western United States","interactions":[],"lastModifiedDate":"2022-10-17T15:24:34.439165","indexId":"70185537","displayToPublicDate":"1988-05-01T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Arsenic in ground water of the Western United States","docAbstract":"<p><span>Natural occurrences of ground water with moderate (10 to 50 micrograms per liter) to high (greater than 50 micrograms per liter) concentrations of arsenic are common throughout much of the Western United States. High concentrations of arsenic are generally associated with one of four geochemical environments: (1) basin-fill deposits of alluvial-lacustrine origin, particularly in semiarid areas, (2) volcanic deposits, (3) geothermal systems, and (4) uranium and gold-mining areas. These findings are based on an extensive literature review, compilation of unpublished reports and data, and the review of data bases containing more than 7,000 analyses of ground-water samples for arsenic. In the first two environments, arsenic appears to be associated with sediments derived, in part, from volcanic rocks of intermediate to acidic composition. Dissolved arsenic concentrations in water from volcanic aquifers in the same regions, however, may be low (less than 10 micrograms per liter). Solid phases (minerals, amorphous solids, and sedimentary organic matter) that supply the dissolved arsenic have not been identified in most areas. Alluvial and lacustrine sedimentary deposits appear to be an important source of arsenic in volcanic areas (such as Lane County, Oregon) and in areas underlain by basin-fill deposits (such as Carson Desert in Nevada and the Tulare Lake basin in California). Mobilization of arsenic in sedimentary aquifers may be, in part, a result of changes in the geochemical environment due to agricultural irrigation. In the deeper subsurface, elevated arsenic concentrations are associated with compaction caused by groundwater withdrawals.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.1988.tb00397.x","usgsCitation":"Welch, A., Lico, M.S., and Hughes, J.L., 1988, Arsenic in ground water of the Western United States: Groundwater, v. 26, no. 3, p. 333-347, https://doi.org/10.1111/j.1745-6584.1988.tb00397.x.","productDescription":"15 p.","startPage":"333","endPage":"347","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":338182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.41992187499999,\n              31.353636941500987\n            ],\n            [\n              -104.4140625,\n              31.353636941500987\n            ],\n            [\n              -104.4140625,\n              49.38237278700955\n            ],\n            [\n              -125.41992187499999,\n              49.38237278700955\n            ],\n            [\n              -125.41992187499999,\n              31.353636941500987\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-03-21","publicationStatus":"PW","scienceBaseUri":"58d4df09e4b05ec79911d1ce","contributors":{"authors":[{"text":"Welch, Alan H.","contributorId":45286,"corporation":false,"usgs":true,"family":"Welch","given":"Alan H.","affiliations":[],"preferred":false,"id":685902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lico, Michael S.","contributorId":75897,"corporation":false,"usgs":true,"family":"Lico","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":685903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Jennifer L.","contributorId":189740,"corporation":false,"usgs":false,"family":"Hughes","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":685904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70234244,"text":"70234244 - 1988 - Vertical seismic profiling of Oroville microearthquakes: Velocity spectra and particle motion as a function of depth","interactions":[],"lastModifiedDate":"2022-08-04T16:20:39.515949","indexId":"70234244","displayToPublicDate":"1988-04-01T10:08:11","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Vertical seismic profiling of Oroville microearthquakes: Velocity spectra and particle motion as a function of depth","docAbstract":"<p>Direct evidence of site distortion of&nbsp;<i>P</i>- and&nbsp;<i>S</i>-wave microearthquake source spectra at Oroville, California, is presented. The data were gathered by placing vertical and three-component seismometers at 90 m intervals in a 500 m borehole through the Cleveland Hill normal fault, on which the 1975,&nbsp;<i>M<sub>L</sub></i>&nbsp;= 5.7 Oroville earthquake took place. High-pressure, hydraulic locking mechanisms were used to firmly lock the seismometer packages against the borehole wall. Digital, event-triggering GEOS recorders were used to receive the data. Some 30 seismic events, including 12 microearthquakes, were recorded during the 4 months the seismometers were deployed.</p><p>By comparing the velocity spectra of microearthquake waves at the different depths, it can be seen that scattering and attenuation in the shallow crust around the borehole dominantly affect high-frequency&nbsp;<i>S</i>&nbsp;waves. Above 15 Hz, the value of the apparent&nbsp;<i>S</i>-wave quality factor,&nbsp;<i>Q<sub>as</sub></i>, for the upper 500 m of crust at this site is 9. One feature of this low&nbsp;<i>Q<sub>as</sub></i>&nbsp;is a gross difference between&nbsp;<i>S</i>-wave “corner” frequencies observed at ground level and 500 m downhole. For example, the uphole and downhole&nbsp;<i>S</i>-wave corner frequencies for the&nbsp;<i>M<sub>coda</sub></i>&nbsp;= 0.4 microearthquake of Julian Day 259 differ by a factor of 2 or more. Low quality factors and depth-dependent corner frequencies were also observed for&nbsp;<i>P</i>&nbsp;waves, but these data are less definitive due to lower signal-to-noise ratios.</p><p>Based on their three-component particle motions and polarizations, the direct&nbsp;<i>S</i>&nbsp;waves of the microearthquakes appear to be composed of two phases, which have similar amplitudes but different apparent velocities. It is possible that the velocity differences are a result of anisotropy in the underlying rock.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/BSSA0780020401","usgsCitation":"Malin, P.E., Waller, J.A., Borcherdt, R.D., Cranswick, E., Jensen, E.G., and Van Schaak, J., 1988, Vertical seismic profiling of Oroville microearthquakes: Velocity spectra and particle motion as a function of depth: Bulletin of the Seismological Society of America, v. 78, no. 2, p. 401-420, https://doi.org/10.1785/BSSA0780020401.","productDescription":"20 p.","startPage":"401","endPage":"420","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"links":[{"id":404829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":404828,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.geoscienceworld.org/ssa/bssa/article/78/2/401/338588/Vertical-seismic-profiling-of-Oroville"}],"country":"United States","state":"California","city":"Oroville","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.68937683105467,\n              39.442556532077376\n            ],\n            [\n              -121.45660400390624,\n              39.442556532077376\n            ],\n            [\n              -121.45660400390624,\n              39.55964762177084\n            ],\n            [\n              -121.68937683105467,\n              39.55964762177084\n            ],\n            [\n              -121.68937683105467,\n              39.442556532077376\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"78","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Malin, P. E.","contributorId":127300,"corporation":false,"usgs":true,"family":"Malin","given":"P.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":848311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waller, J. A.","contributorId":294545,"corporation":false,"usgs":false,"family":"Waller","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":848312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borcherdt, Roger D. 0000-0002-8668-0849 borcherdt@usgs.gov","orcid":"https://orcid.org/0000-0002-8668-0849","contributorId":2373,"corporation":false,"usgs":true,"family":"Borcherdt","given":"Roger","email":"borcherdt@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":848313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cranswick, E.","contributorId":85948,"corporation":false,"usgs":true,"family":"Cranswick","given":"E.","affiliations":[],"preferred":false,"id":848314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, Edward G. gjensen@usgs.gov","contributorId":4201,"corporation":false,"usgs":true,"family":"Jensen","given":"Edward","email":"gjensen@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":848315,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Schaak, J.","contributorId":294546,"corporation":false,"usgs":false,"family":"Van Schaak","given":"J.","email":"","affiliations":[],"preferred":false,"id":848316,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70185533,"text":"70185533 - 1988 - Internal inconsistencies in dispersion-dominated models that incorporate chemical and microbial kinetics","interactions":[],"lastModifiedDate":"2020-01-12T13:49:53","indexId":"70185533","displayToPublicDate":"1988-04-01T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Internal inconsistencies in dispersion-dominated models that incorporate chemical and microbial kinetics","docAbstract":"<p><span>Current understanding of transport processes in aquifers is limited by lack of precise point chemical concentration measurements. Recently, however, some careful measurements of vertical chemical concentration profiles have been made at several locations around the world that appear to support a consistent picture concerning the persistence of large vertical concentration gradients in aquifers and, by implication, the existence of very small vertical transverse dispersivities. These data were obtained in aquifers supporting microbial activity. Data analysis using a mathematical model which considers microbial degradation coupled to nutrient and oxygen transport indicates that a vertical transverse dispersivity on the order of 0.1 cm or less is consistent with the concentration gradients that were measured. The existence of such large gradients and low dispersivities is not consistent with the use of two-dimensional vertically averaged (areal) models as currently applied, especially if one is interested in the development of transport models with predictive capability beyond that associated with standard calibration and extrapolation. Even three-dimensional models with large vertical transverse dispersivities compared to those measured will produce results inconsistent with measurements. Microbial-chemical activity is very sensitive to concentration distributions. Smearing of the oxygen profile can result in the prediction of aerobic activity where, in fact, none exists.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/WR024i004p00615","usgsCitation":"Molz, F.J., and Widdowson, M.A., 1988, Internal inconsistencies in dispersion-dominated models that incorporate chemical and microbial kinetics: Water Resources Research, v. 24, no. 4, p. 615-619, https://doi.org/10.1029/WR024i004p00615.","productDescription":"5 p.","startPage":"615","endPage":"619","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":338178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-07-09","publicationStatus":"PW","scienceBaseUri":"58d4df0ae4b05ec79911d1d2","contributors":{"authors":[{"text":"Molz, Fred J.","contributorId":189737,"corporation":false,"usgs":false,"family":"Molz","given":"Fred","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":685893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":685894,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":1014507,"text":"1014507 - 1988 - Cooperative federal-state liming research on surface waters impacted by acidic deposition","interactions":[],"lastModifiedDate":"2026-03-18T16:02:48.616166","indexId":"1014507","displayToPublicDate":"1988-03-01T00:00:00","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Cooperative federal-state liming research on surface waters impacted by acidic deposition","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>In the eastern and north-central United States, lakes and streams with low acid neutralizing capacity are at risk from acidity. Resource management agencies are interested in developing mitigation strategies that protect or restore fisheries in these waters. Addition of limestone (calcium carbonate) to improve water quality and prevent episodic depressions of pH during precipitation events and spring runoff is one mitigation technique being used. The ecological changes that accompany such treatment of streams and lakes are being investigated in a cooperative program between the U.S. Fish and Wildlife Service and individual states. Streams in Massachusetts, West Virginia and Tennessee, and a lake in Minnesota are included in this 5-yr research program. Intensive monitoring during pre- and post-liming tracks a suite of physical, chemical and biological parameters that influence the re-establishment or maintenance of healthy fisheries. Supporting studies on liming being conducted at Adirondack lakes in New York focus on fisheries management. A model on the influence of liming on light attenuation and thermal stratification is also being developed. Management guidelines are to be generated from the program results.</p></div></div><div id=\"cobranding-and-download-availability-text\" class=\"note test-pdf-link\"><br></div>","language":"English","publisher":"Springer Nature","doi":"10.1007/BF00160344","usgsCitation":"Schreiber, R., 1988, Cooperative federal-state liming research on surface waters impacted by acidic deposition: Water, Air, & Soil Pollution, v. 41, no. 1-2, p. 53-73, https://doi.org/10.1007/BF00160344.","productDescription":"21 p.","startPage":"53","endPage":"73","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":131569,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, Minnesota, Tennessee, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.9416801202762,\n              48.40174735869931\n            ],\n            [\n              -90.07247767750238,\n              34.74405492546872\n            ],\n            [\n              -81.16801617276204,\n              34.85174146240108\n            ],\n            [\n              -81.26583892959951,\n              36.616152766648426\n            ],\n            [\n              -70.08283892841514,\n              41.088904933550786\n            ],\n            [\n              -69.58877618185089,\n              43.06521980270412\n            ],\n            [\n              -88.56468899078627,\n              48.12461571189084\n            ],\n            [\n              -91.9416801202762,\n              48.40174735869931\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db6864ff","contributors":{"authors":[{"text":"Schreiber, R.K.","contributorId":92988,"corporation":false,"usgs":true,"family":"Schreiber","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":320494,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208296,"text":"70208296 - 1988 - Aliphatic hydrocarbons in sediments from Prydz Bay, Antarctica","interactions":[],"lastModifiedDate":"2020-02-03T12:12:58","indexId":"70208296","displayToPublicDate":"1988-02-03T11:49:51","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5905,"text":"Proceedings of the Ocean Drilling Program: Scientific Results","active":true,"publicationSubtype":{"id":10}},"title":"Aliphatic hydrocarbons in sediments from Prydz Bay, Antarctica","docAbstract":"<p><span>High molecular weight aliphatic hydrocarbons were extracted from sediments at two sites (741 and 742) drilled during ODP Leg 119 in Prydz Bay. The distributions of n-alkanes and triterpenoid and steroid hydrocarbons suggest that the n- alkanes and steranes are mainly of terrestrial origin and that the hydrocarbons are immature to slightly mature in the Lower Cretaceous sediments and immature to mature in the Tertiary sediments. At Site 741, the Lower Cretaceous depositional sequence, which is generally characterized by immature hydrocarbons, is interrupted by sediment having more mature components, suggesting a change of source during part of Early Cretaceous time. At Site 742, the mature geochemical parameters of a Pliocene sample correlate with results reported elsewhere for Site 739. In all but one of the other Tertiary samples, the geochemical parameters indicate intermediate maturity. The Lower Cretaceous and Pliocene sediments average about 1.9% organic carbon, a value of interest from the point of view of potential sources of petroleum offshore of Antarctica.</span></p>","language":"English","publisher":"Texas A&M ","doi":"10.2973/odp.proc.sr.119.210.1991","usgsCitation":"Kvenvolden, K.A., Hostettler, F.D., Rapp, J.B., and Frank, T., 1988, Aliphatic hydrocarbons in sediments from Prydz Bay, Antarctica: Proceedings of the Ocean Drilling Program: Scientific Results, v. 119, p. 417-424, https://doi.org/10.2973/odp.proc.sr.119.210.1991.","productDescription":"8  p.","startPage":"417","endPage":"424","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488887,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.2973/odp.proc.sr.119.210.1991","text":"Publisher Index Page"},{"id":371926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Prydz Bay, Antartica","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              59.0625,\n              -72.60712040027553\n            ],\n            [\n              102.65625,\n              -72.60712040027553\n            ],\n            [\n              102.65625,\n              -65.07213008560696\n            ],\n            [\n              59.0625,\n              -65.07213008560696\n            ],\n            [\n              59.0625,\n              -72.60712040027553\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kvenvolden, Keith A. kkvenvolden@usgs.gov","contributorId":3384,"corporation":false,"usgs":true,"family":"Kvenvolden","given":"Keith","email":"kkvenvolden@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":781308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostettler, Frances D. fdhostet@usgs.gov","contributorId":3383,"corporation":false,"usgs":true,"family":"Hostettler","given":"Frances","email":"fdhostet@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":781309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rapp, J. B.","contributorId":28987,"corporation":false,"usgs":true,"family":"Rapp","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":781310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frank, Tamara","contributorId":222132,"corporation":false,"usgs":true,"family":"Frank","given":"Tamara","email":"","affiliations":[],"preferred":false,"id":781311,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70122657,"text":"70122657 - 1988 - Proceedings of a workshop on the development and evaluation of habitat suitability criteria: A compilation of papers and discussions presented at Colorado State University, Fort Collins, Colorado, December 8-12, 1986","interactions":[],"lastModifiedDate":"2014-08-27T10:52:45","indexId":"70122657","displayToPublicDate":"1988-01-01T10:36:18","publicationYear":"1988","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Proceedings of a workshop on the development and evaluation of habitat suitability criteria: A compilation of papers and discussions presented at Colorado State University, Fort Collins, Colorado, December 8-12, 1986","docAbstract":"<p>The development of reliable habitat suitability criteria is critical to the successful implementation of the Instream Flow Incremental Methodology (IFIM), or any other habitat based evaluation technology. It is also a fascinating topic of research, for several reasons. First, the “science” of habitat quantification is relatively young. Descriptions of habitat use and partitioning can be traced back to Darwin, if not further. Attempts to actually quantify habitat use can be found predominantly during the last two decades, with most of the activity occurring in about the last five years. Second, this work is challenging because we are usually working with fish or some other organism that lives out of sight in an environment that is foreign to humans. Most of the data collection techniques that have been developed for standard fisheries work are unsuited, without modification, for criteria development.  These factors make anyone involved in this type of research a pioneer, of sorts.  Pioneers often make new and wonderful discoveries, but they also sometimes get lost.  In our opinion, however, there is an even more rewarding aspect to criteria development research.  It seems that the field of biology has tended to become increasingly clinical over the years.  Criteria development demands the unobtrusive observation of organisms in their natural environment, a fact that allows the biological to be a naturalist and still get paid for it.</p>\n<br/>\n<p>The relative youth and importance of habitat quantification have resulted in rapid advancements in the state of the art.  The expansion of methods is vividly demonstrated simply by comparing the two Instream Flow Information Papers written on the subject in 1978 and in 1986.  One of the missions of the Aquatic Systems Branch (formerly the Instream Flow Group) is to serve as a clearinghouse for new techniques and methods.  In keeping with this role, a workshop was conducted during December 1986 to discuss current and newly evolving methods for developing and evaluating habitat suitability criteria.  Participation in this workshop was largely by invitation only.  The objective was to obtain insights into problems and possible solutions to criteria development, from the perspective of professionals closely involved with the subject.  These proceedings of that workshop are intended to supplement the information contained in Instream Flow Information Paper 21, \"Development and Evaluation of Habitat Suitability Criteria for Use in the Instream Flow Incremental Methodology.\"</p>\n<br/>\n<p>The workshop was closely arranged in five sessions, roughly following the outline of Information Paper 21.  The first session dealt with various aspects of study design and how they can influence the outcome of a study.  Session two investigated techniques for developing criteria from professional judgment, and some of the problems encountered when personal or agency prejudice enters the picture.  Session three concentrated on field data collection procedures, whereas session four examined methods of converting field data into curves.  Field verification studies were discussed in session five.</p>\n<br/>\n<p>Each presentation in the workshop was followed by a question and answer period of 15 to 30 minutes.  These discussions were recorded, transcribed, and appended to the end of each paper in these proceedings.  We have attempted to capture the essence of these discussions as accurately as possible, but hope that the reader can appreciate the difficulty in translating a free-ranging discussion (from a barely audible tape) to something that makes sense in print.  These question and answer sessions constitute the peer review for each of the papers.  This provides the reader with the unique opportunity to review the interactions between authors and reviewers.</p>","conferenceTitle":"Workshop on the Development and Evaluation of Habitat Suitability Criteria","conferenceDate":"1986-12-08T00:00:00","conferenceLocation":"Fort Collins, CO","language":"English","publisher":"U.S. Department of the Interior, Fish and Wildlife Service","publisherLocation":"Washington, D.C.","usgsCitation":"Bovee, K., and Zuboy, J., 1988, Proceedings of a workshop on the development and evaluation of habitat suitability criteria: A compilation of papers and discussions presented at Colorado State University, Fort Collins, Colorado, December 8-12, 1986, 407 p.","productDescription":"407 p.","numberOfPages":"407","costCenters":[],"links":[{"id":293086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fef0e6e4b01f35f8fd6a11","contributors":{"authors":[{"text":"Bovee, Ken","contributorId":23455,"corporation":false,"usgs":true,"family":"Bovee","given":"Ken","affiliations":[],"preferred":false,"id":499564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zuboy, J.R.","contributorId":18689,"corporation":false,"usgs":true,"family":"Zuboy","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":499563,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70121896,"text":"70121896 - 1988 - Monitoring wildlife habitat: A critique of approaches","interactions":[],"lastModifiedDate":"2025-12-15T16:03:47.549357","indexId":"70121896","displayToPublicDate":"1988-01-01T10:01:55","publicationYear":"1988","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3474,"text":"Statistical Journal of the United Nations ECE","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring wildlife habitat: A critique of approaches","docAbstract":"<div>Naturalists have long recognized that wildlife cannot exist in a natural state without adequate habitat. Habitat monitoring is an effort to monitor the physical conditions that provide life support for the species, given the underlying assumption that if the habitat is available the species will respond and fill that habitat with viable populations.</div><div>Techniques for habitat monitoring are varied and depend on the species involved, geographical area, and resources available. At a very gross level, habitat monitoring may be little more than the monitoring of major vegetative associations: time series analysis of aerial photography is an excellent mechanism to monitor the changes in hectares of specified vegetative associations, which are surrogate measures of habitat.</div><div>One approach uses population monitoring to determine habitat availability. Unfortunately, many researchers fail to recognize that population levels may or may not reflect habitat quality or habitat availability. Another approach is to monitor species richness or species diversity. Finally, the habitat components that compose quality habitat for a species or species group can be used for monitoring. This approach results in the identification of important habitat attributes that can be measured independent of the presence of the species. A thorough understanding of the biological system being monitored is paramount to the development of sound monitoring study design.</div>","language":"English","publisher":"Sage Journals","doi":"10.3233/SJU-1988-5310","usgsCitation":"Schamberger, M., 1988, Monitoring wildlife habitat: A critique of approaches: Statistical Journal of the United Nations ECE, v. 5, no. 3, p. 303-313, https://doi.org/10.3233/SJU-1988-5310.","productDescription":"11 p.","startPage":"303","endPage":"313","costCenters":[],"links":[{"id":497523,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://journals.sagepub.com/doi/10.3233/SJU-1988-5310?icid=int.sj-abstract.similar-articles.6"},{"id":292945,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fc4dd6e4b0413fd75d6ae4","contributors":{"authors":[{"text":"Schamberger, Mel","contributorId":98638,"corporation":false,"usgs":true,"family":"Schamberger","given":"Mel","affiliations":[],"preferred":false,"id":499291,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}