Phytoplankton communities in 30 northern Missouri and Iowa lakes were physically separated into 5 size classes (>100 µm, 53-100 µm, 35-53 µm, 10-35 µm, 1-10 µm) during 15-21 August 2004 to determine the distribution of microcystin (MC) in size fractionated lake samples and assess how net collections influence estimates of MC concentration. MC was detected in whole water (total) from 83% of lakes sampled, and total MC values ranged from 0.1-7.0 µg/L (mean = 0.8 µg/L). On average, MC in the >100 µm size class comprised ~40% of total MC, while other individual size classes contributed 9-20% to total MC. MC values decreased with size class and were significantly greater in the >100 µm size class (mean = 0.5 µg/L) than the 35-53 µm (mean = 0.1 µg/L), 10-35 µm (mean = 0.0µg/L), and 1-10 µm (mean = 0.0 µg/L) size classes (p < 0.01). MC values in nets with 100-µm, 53-µm, 35-µm, and 10-µm mesh were cumulatively summed to simulate the potential bias of measuring MC with various size plankton nets. On average, a 100-µm net underestimated total MC by 51%, compared to 37% for a 53-µm net, 28% for a 35-µm net, and 17% for a 10-µm net. While plankton nets consistently underestimated total MC, concentration of algae with net sieves allowed detection of MC at low levels (≤0.01 µg/L); 93% of lakes had detectable levels of MC in concentrated samples. Thus, small mesh plankton nets are an option for documenting MC occurrence, but whole
water samples should be collected to characterize total MC concentrations.
Base flow water in Leavenworth Creek, a tributary to South Clear Creek in Clear Creek County, Colorado, contains copper and zinc at levels toxic to aquatic life. The metals are predominantly derived from the historical Waldorf mine, and sources include an adit, a mine-waste dump, and mill-tailings deposits. Tracer-injection and water-chemistry synoptic studies were conducted during low-flow conditions to quantify metal loads of mining-impacted inflows and their relative contributions to nearby Leavenworth Creek. During the 2-year investigation, the adit was rerouted in an attempt to reduce metal loading to the stream. During the first year, a lithium-bromide tracer was injected continuously into the stream to achieve steady-state conditions prior to synoptic sampling. Synoptic samples were collected from Leavenworth Creek and from discrete surface inflows. One year later, synoptic sampling was repeated at selected sites to evaluate whether rerouting of the adit flow had improved water quality.
\nThe largest sources of copper and zinc to the creek were from surface inflows from the adit, diffuse inflows from wetland areas, and leaching of dispersed mill tailings. Major instream processes included mixing between mining- and non-mining-impacted waters and the attenuation of iron, aluminum, manganese, and othermetals by precipitation or sorption. One year after the rerouting, the Zn and Cu loads in Leavenworth Creek from the adit discharge versus those from leaching of a large volume of dispersed mill tailings were approximately equal to, if not greater than, those before. The mine-waste dump does not appear to be a major source of metal loading. Any improvement that may have resulted from the elimination of adit flow across the dump was masked by higher adit discharge attributed to a larger snow pack. Although many mine remediation activities commonly proceed without prior scientific studies to identify the sources and pathways of metal transport, such strategies do not always translate to water-quality improvements in the stream. Assessment of sources and pathways to gain better understanding of the system is a necessary investment in the outcome of any successful remediation strategy.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2007.4017(05)","usgsCitation":"Fey, D.L., and Wirt, L., 2007, Mining-impacted sources of metal loading to an alpine stream based on a tracer-injection study, Clear Creek County, Colorado: Reviews in Engineering Geology, v. 17, p. 85-103, https://doi.org/10.1130/2007.4017(05).","productDescription":"19 p.","startPage":"85","endPage":"103","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":298725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Clear Creek County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.00433349609375,\n 39.48920467334085\n ],\n [\n -106.00433349609375,\n 39.75365697136308\n ],\n [\n -105.42755126953125,\n 39.75365697136308\n ],\n [\n -105.42755126953125,\n 39.48920467334085\n ],\n [\n -106.00433349609375,\n 39.48920467334085\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550aa1bae4b02e76d7590bf0","contributors":{"authors":[{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":541669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wirt, Laurie","contributorId":13204,"corporation":false,"usgs":true,"family":"Wirt","given":"Laurie","affiliations":[],"preferred":false,"id":541670,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70029817,"text":"70029817 - 2007 - Sap flow characteristics of neotropical mangroves in flooded and drained soils","interactions":[],"lastModifiedDate":"2016-04-12T17:19:22","indexId":"70029817","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3649,"text":"Tree Physiology","active":true,"publicationSubtype":{"id":10}},"title":"Sap flow characteristics of neotropical mangroves in flooded and drained soils","docAbstract":"Effects of flooding on water transport in mangroves have previously been investigated in a few studies, most of which were conducted on seedlings in controlled settings. In this study, we used heat-dissipation sap probes to determine if sap flow (Js) attenuates with radial depth into the xylem of mature trees of three south Florida mangrove species growing in Rookery Bay. This was accomplished by inserting sap probes at multiple depths and monitoring diurnal flow. For most species and diameter size class combinations tested, Js decreased dramatically beyond a radial depth of 2 or 4 cm, with little sap flow beyond a depth of 6 cm. Mean Js was reduced on average by 20% in Avicennia germinans (L.) Stearn, Laguncularia racemosa (L.) Gaertn. f. and Rhizophora mangle L. trees when soils were flooded. Species differences were highly significant, with L. racemosahaving the greatest midday Js of about 26g H2O H2O m−2s−1 at a radial depth of 2 cm compared with a mean for the other two species of about 15 g H2O m−2s−1. Sap flow at a depth of 2 cm in mangroves was commensurate with rates reported for other forested wetland tree species. We conclude that: (1) early spring flooding of basin mangrove forests causes reductions in sap flow in mature mangrove trees; (2) the sharp attenuations in Js along the radial profile have implications for understanding whole-tree water use strategies by mangrove forests; and (3) regardless of flood state, individual mangrove tree water use follows leaf-level mechanisms in being conservative.
","language":"English","publisher":"Heron Publishing","publisherLocation":"Victoria, Canada","doi":"10.1093/treephys/27.5.775","issn":"0829318X","usgsCitation":"Krauss, K.W., Young, P.J., Chambers, J., Doyle, T.W., and Twilley, R.R., 2007, Sap flow characteristics of neotropical mangroves in flooded and drained soils: Tree Physiology, v. 27, no. 5, p. 775-783, https://doi.org/10.1093/treephys/27.5.775.","productDescription":"9 p.","startPage":"775","endPage":"783","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":476987,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/treephys/27.5.775","text":"Publisher Index Page"},{"id":240550,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","city":"Naples","otherGeospatial":"Rookery Bay National Estuarine Research Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.70171737670898,\n 26.0476453755423\n ],\n [\n -81.70171737670898,\n 26.051770837572064\n ],\n [\n -81.70025825500488,\n 26.051770837572064\n ],\n [\n -81.70025825500488,\n 26.0476453755423\n ],\n [\n -81.70171737670898,\n 26.0476453755423\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b86bce4b08c986b3160d8","contributors":{"authors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":424453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, P. Joy","contributorId":168577,"corporation":false,"usgs":false,"family":"Young","given":"P.","email":"","middleInitial":"Joy","affiliations":[{"id":25282,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":424454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chambers, Jim L.","contributorId":16498,"corporation":false,"usgs":true,"family":"Chambers","given":"Jim L.","affiliations":[],"preferred":false,"id":424456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doyle, Thomas W. 0000-0001-5754-0671 doylet@usgs.gov","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":703,"corporation":false,"usgs":true,"family":"Doyle","given":"Thomas","email":"doylet@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":424452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Twilley, Robert R.","contributorId":34585,"corporation":false,"usgs":false,"family":"Twilley","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":424455,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70029902,"text":"70029902 - 2007 - Sources and temporal dynamics of arsenic in a New Jersey watershed, USA","interactions":[],"lastModifiedDate":"2019-09-03T08:42:42","indexId":"70029902","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Sources and temporal dynamics of arsenic in a New Jersey watershed, USA","docAbstract":"We examined potential sources and the temporal dynamics of arsenic (As) in the slightly alkaline waters of the Wallkill River, northwestern New Jersey, where violations of water-quality standards have occurred. The study design included synoptic sampling of stream water and bed sediments in tributaries and the mainstem, hyporheic-zone/ground water on the mainstem, and seasonal and diurnal sampling of water at selected mainstem sites. The river valley is bordered by gneiss and granite highlands and shale lowlands and underlain by glacial deposits over faulted dolomites and the Franklin Marble. Ore bodies in the Marble, which have been mined for rare Zn ore minerals, also contain As minerals. Tributaries, which drain predominantly forested and agricultural land, contributed relatively little As to the river. The highest concentrations of As (up to 34 μg/L) emanated from the outlet of man-made Lake Mohawk at the river's headwaters; these inputs varied substantially with season—high during warm months, low during cold months, apparently because of biological activity in the lake. Dissolved As concentrations were lower (3.3 μg/L) in river water than those in ground water discharging into the riverbed (22 μg/L) near the now-closed Franklin Mine. High total As concentrations (100–190 mg/kg) on the < 0.63 μm fraction of bed sediments near the mine apparently result from sorption of the As in the ground-water discharge as well as from the As minerals in the streambed. As concentrations in river water were diluted during high stream flow in fall, winter and spring, and concentrated during low flow in summer. In unfiltered samples from a wetlands site, diurnal cycles in trace-element concentrations occurred; As concentrations appeared to peak during late afternoon as pH increased, but Fe, Mn, and Zn concentrations peaked shortly after midnight. The temporal variability of As and its presence at elevated concentrations in ground water and sediments as well as streamwater demonstrate the importance of (1) sampling a variety of media and (2) determining the time scales of As variability to fully characterize its passage through a river system.
[1] The Châteauguay River Basin delineates a transborder watershed with roughly half of its surface area located in northern New York State and half in southern Québec Province, Canada. As part of a multidisciplinary study designed to characterize the hydrogeologic properties of this basin, geophysical logs were obtained in 12 wells strategically located to penetrate the four major sedimentary rock formations that constitute the regional aquifers. The layered rocks were classified according to their elastic properties into three primary units: soft sandstone, hard sandstone, and dolostone. Downhole measurements were analyzed to identify fracture patterns associated with each unit and to evaluate their role in controlling groundwater flow. Fracture networks are composed of orthogonal sets of laterally extensive, subhorizontal bedding plane partings and bed-delimited, subvertical joints with spacings that are consistent with rock mechanics principles and stress models. The vertical distribution of transmissive zones is confined to a few select bedding plane fractures, with soft sandstone having the fewest (one per 70-m depth) and hard sandstone the most (five per 70-m depth). Bed-normal permeability is examined using a probabilistic model that considers the lengths of flow paths winding along joints and bedding plane fractures. Soft sandstone has the smallest bed-normal permeability primarily because of its wide, geomechanically undersaturated joint spacing. Results indicate that the three formations have similar values of bulk transmissivity, within roughly an order of magnitude, but that each rock unit has its own unique system of groundwater flow paths that constitute that transmissivity.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006JB004485","issn":"01480227","usgsCitation":"Morin, R.H., Godin, R., Nastev, M., and Rouleau, A., 2007, Hydrogeologic controls imposed by mechanical stratigraphy in layered rocks of the Chateauguay River Basin, a U.S.-Canada transborder aquifer: Journal of Geophysical Research B: Solid Earth, v. 112, no. 4, B04403, 12 p., https://doi.org/10.1029/2006JB004485.","productDescription":"B04403, 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":240244,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Chateauguay River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.146484375,\n 44.75453548416007\n ],\n [\n -73.355712890625,\n 44.75453548416007\n ],\n [\n -73.355712890625,\n 45.706179285330855\n ],\n [\n -75.146484375,\n 45.706179285330855\n ],\n [\n -75.146484375,\n 44.75453548416007\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"112","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-04-06","publicationStatus":"PW","scienceBaseUri":"505a33a2e4b0c8380cd5f132","contributors":{"authors":[{"text":"Morin, Roger H. rhmorin@usgs.gov","contributorId":2432,"corporation":false,"usgs":true,"family":"Morin","given":"Roger","email":"rhmorin@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":424526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godin, Rejean","contributorId":19780,"corporation":false,"usgs":true,"family":"Godin","given":"Rejean","email":"","affiliations":[],"preferred":false,"id":424528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nastev, Miroslav","contributorId":10621,"corporation":false,"usgs":true,"family":"Nastev","given":"Miroslav","email":"","affiliations":[],"preferred":false,"id":424527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rouleau, Alain","contributorId":84165,"corporation":false,"usgs":true,"family":"Rouleau","given":"Alain","email":"","affiliations":[],"preferred":false,"id":424529,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70032794,"text":"70032794 - 2007 - Simulation of Intra- or transboundary surface-water-rights hierarchies using the farm process for MODFLOW-2000","interactions":[],"lastModifiedDate":"2018-09-27T11:10:26","indexId":"70032794","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2501,"text":"Journal of Water Resources Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of Intra- or transboundary surface-water-rights hierarchies using the farm process for MODFLOW-2000","docAbstract":"Water-rights driven surface-water allocations for irrigated agriculture can be simulated using the farm process for MODFLOW-2000. This paper describes and develops a model, which simulates routed surface-water deliveries to farms limited by streamflow, equal-appropriation allotments, or a ranked prior-appropriation system. Simulated diversions account for deliveries to all farms along a canal according to their water-rights ranking and for conveyance losses and gains. Simulated minimum streamflow requirements on diversions help guarantee supplies to senior farms located on downstream diverting canals. Prior appropriation can be applied to individual farms or to groups of farms modeled as “virtual farms” representing irrigation districts, irrigated regions in transboundary settings, or natural vegetation habitats. The integrated approach of jointly simulating canal diversions, surface-water deliveries subject to water-rights constraints, and groundwater allocations is verified on numerical experiments based on a realistic, but hypothetical, system of ranked virtual farms. Results are discussed in light of transboundary water appropriation and demonstrate the approach’s suitability for simulating effects of water-rights hierarchies represented by international treaties, interstate stream compacts, intrastate water rights, or ecological requirements.
Migration and reproductive strategies in waterbirds are tightly linked, with timing of arrival and onset of nesting having important consequences for reproductive success. Whether migratory waterbirds are capital or income breeders is predicated by their spring migration schedule, how long they are on breeding areas before nesting, and how adapted they are to exploiting early spring foods at northern breeding areas. However, for most species, we know little about individual migration schedules, arrival times, and duration of residence on breeding areas before nesting. To document these relationships in a northern nesting goose, we radiotracked winter-marked Tule Greater White-fronted Geese (Anser albifrons elgasi; hereafter “Tule Geese”; n = 116) from the time of their arrival in Alaska through nesting. Tule Geese arrived on coastal feeding areas in mid-April and moved to nesting locations a week later. They initiated nests 15 days (range: 6–24 days) after arrival, a period roughly equivalent to the duration of rapid follicle growth. Tule Geese that arrived the earliest were more likely to nest than geese that arrived later; early arrivals also spent more time on the breeding grounds and nested earlier than geese that arrived later. The length of the prenesting period was comparable to that of other populations of this species, but longer than for goose species that initiate rapid follicle growth before arrival on the breeding grounds. We suggest that Tule Geese nesting in more temperate climates are more likely to delay breeding to exploit local food resources than Arctic-nesting species that may be constrained by short growing seasons.
","language":"English","publisher":"American Ornithological Society","doi":"10.1642/0004-8038(2007)124[594:RSONGW]2.0.CO;2","issn":"00048038","usgsCitation":"Ely, C.R., Bollinger, K., Densmore, R., Rothe, T., Petrula, M., Takekawa, J.Y., and Orthmeyer, D., 2007, Reproductive strategies of northern geese: Why wait?: The Auk, v. 124, no. 2, p. 594-605, https://doi.org/10.1642/0004-8038(2007)124[594:RSONGW]2.0.CO;2.","productDescription":"12 p.","startPage":"594","endPage":"605","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":477022,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/0004-8038(2007)124[594:rsongw]2.0.co;2","text":"Publisher Index Page"},{"id":240685,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa8e2e4b0c8380cd85aec","contributors":{"authors":[{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":424948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bollinger, K.S.","contributorId":85542,"corporation":false,"usgs":true,"family":"Bollinger","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":424947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Densmore, R.V.","contributorId":72953,"corporation":false,"usgs":true,"family":"Densmore","given":"R.V.","email":"","affiliations":[],"preferred":false,"id":424945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rothe, T.C.","contributorId":10016,"corporation":false,"usgs":true,"family":"Rothe","given":"T.C.","email":"","affiliations":[],"preferred":false,"id":424943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petrula, M.J.","contributorId":106713,"corporation":false,"usgs":true,"family":"Petrula","given":"M.J.","affiliations":[],"preferred":false,"id":424949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":424944,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Orthmeyer, D.L.","contributorId":84684,"corporation":false,"usgs":true,"family":"Orthmeyer","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":424946,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70030580,"text":"70030580 - 2007 - Survival of wood duck ducklings and broods in Mississippi and Alabama","interactions":[],"lastModifiedDate":"2012-03-12T17:21:13","indexId":"70030580","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Survival of wood duck ducklings and broods in Mississippi and Alabama","docAbstract":"Although North American wood ducks (Aix sponsa) are well-studied throughout their range, researchers know little about demographic and environmental factors influencing survival of ducklings and broods, which is necessary information for population management. We studied radiomarked female and duckling wood ducks that used nest boxes and palustrine wetlands at Noxubee National Wildlife Refuge (NNWR) in Mississippi, USA, in 1996-1999, and riverine wetlands of the Tennessee-Tombigbee Rivers and Waterway (TTRW) system in Alabama in 1998-1999. We estimated survival of ducklings and broods and evaluated potentially important predictors of duckling survival, including age and body mass of brood-rearing females, hatch date of ducklings, duckling mass, brood size at nest departure, inter-day travel distance by ducklings, site and habitat use, and daily minimum air temperature and precipitation. At NNWR, survival of 300 radiomarked ducklings ranged from 0.15 (95% CI = 0.04-0.27) to 0.24 (95% CI = 0.13-0.38) and was 0.21 (95% CI = 0.15-0.28) for 1996-1999. Our overall estimate of brood survival was 0.64 (n = 91; 95% CI = 0.54-0.73). At TTRW, survival of 129 radiomarked ducklings was 0.29 in 1998 (95% CI = 0.20-0.41) and 1999 (95% CI = 0.13-0.45) and was 0.29 (95% CI = 0.20-0.40) for 1998-1999. Our overall estimate of brood survival was 0.71 (n = 38; 95% CI = 0.56-0.85). At NNWR, models that included all predictor variables best explained variation in duckling survival. Akaike weight (wi) for the best model was 0.81, suggesting it was superior to other models (<0.01 ??? wi ???0.18). We detected 4 competing models for duckling survival at TTRW. Inter-day distance traveled by ducklings was important as this variable appeared in all 4 models; duckling survival was positively related to this variable. Patterns of habitat-related survival were similar at both study areas. Ducklings in broods that used scrub-shrub habitats disjunct from wetlands containing aggregations of nest boxes had greater survival probabilities than birds remaining in wetlands with such nest structures. Managers may increase local wood duck recruitment by promoting availability of suitable brood habitats (e.g., scrub-shrub wetlands) without aggregations of nest boxes that may attract predators and by dispersing nest boxes amid or adjacent to these habitats. We did not determine an optimal density of nest boxes relative to local or regional population goals, which remains important research and conservation needs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2005-720","issn":"00225","usgsCitation":"Davis, J.B., Cox, R.R., Kaminski, R., and Leopold, B., 2007, Survival of wood duck ducklings and broods in Mississippi and Alabama: Journal of Wildlife Management, v. 71, no. 2, p. 507-517, https://doi.org/10.2193/2005-720.","startPage":"507","endPage":"517","numberOfPages":"11","costCenters":[],"links":[{"id":239596,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212157,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2005-720"}],"volume":"71","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"505ba2e3e4b08c986b31fa2b","contributors":{"authors":[{"text":"Davis, J. B. hdavis@usgs.gov","contributorId":81838,"corporation":false,"usgs":false,"family":"Davis","given":"J.","email":"hdavis@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":427733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, R. R. Jr.","contributorId":57006,"corporation":false,"usgs":true,"family":"Cox","given":"R.","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":427731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaminski, R.M.","contributorId":53330,"corporation":false,"usgs":true,"family":"Kaminski","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":427730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leopold, B.D.","contributorId":72738,"corporation":false,"usgs":true,"family":"Leopold","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":427732,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70033212,"text":"70033212 - 2007 - Thermal, chemical, and optical properties of Crater Lake, Oregon","interactions":[],"lastModifiedDate":"2017-11-15T09:58:12","indexId":"70033212","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Thermal, chemical, and optical properties of Crater Lake, Oregon","docAbstract":"Crater Lake covers the floor of the Mount Mazama caldera that formed 7700 years ago. The lake has a surface area of 53 km2 and a maximum depth of 594 m. There is no outlet stream and surface inflow is limited to small streams and springs. Owing to its great volume and heat, the lake is not covered by snow and ice in winter unlike other lakes in the Cascade Range. The lake is isothermal in winter except for a slight increase in temperature in the deep lake from hyperadiabatic processes and inflow of hydrothermal fluids. During winter and spring the water column mixes to a depth of about 200-250 m from wind energy and convection. Circulation of the deep lake occurs periodically in winter and spring when cold, near-surface waters sink to the lake bottom; a process that results in the upwelling of nutrients, especially nitrate-N, into the upper strata of the lake. Thermal stratification occurs in late summer and fall. The maximum thickness of the epilimnion is about 20 m and the metalimnion extends to a depth of about 100 m. Thus, most of the lake volume is a cold hypolimnion. The year-round near-bottom temperature is about 3.5??C. Overall, hydrothermal fluids define and temporally maintain the basic water quality characteristics of the lake (e.g., pH, alkalinity and conductivity). Total phosphorus and orthophosphate-P concentrations are fairly uniform throughout the water column, where as total Kjeldahl-N and ammonia-N are highest in concentration in the upper lake. Concentrations of nitrate-N increase with depth below 200 m. No long-term changes in water quality have been detected. Secchi disk (20-cm) clarity varied seasonally and annually, but was typically highest in June and lowest in August. During the current study, August Secchi disk clarity readings averaged about 30 m. The maximum individual clarity reading was 41.5 m in June 1997. The lowest reading was 18.1 m in July 1995. From 1896 (white-dinner plate) to 2003, the average August Secchi disk reading was about 30 m. No long-term changes in the Secchi disk clarity were observed. Average turbidity of the water column (2-550 m) between June and September from 1991 to 2000 as measured by a transmissometer ranged between 88.8% and 90.7%. The depth of 1% of the incident solar radiation during thermal stratification varied annually between 80 m and 100 m. Both of these measurements provided additional evidence about the exceptional clarity of Crater Lake. ?? 2007 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-006-0346-2","issn":"00188158","usgsCitation":"Larson, G., Hoffman, R., McIntire, D.C., Buktenica, M., and Girdner, S., 2007, Thermal, chemical, and optical properties of Crater Lake, Oregon: Hydrobiologia, v. 574, no. 1, p. 69-84, https://doi.org/10.1007/s10750-006-0346-2.","startPage":"69","endPage":"84","numberOfPages":"16","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":241164,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213534,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-006-0346-2"}],"volume":"574","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb264e4b08c986b32578f","contributors":{"authors":[{"text":"Larson, G.L.","contributorId":103021,"corporation":false,"usgs":true,"family":"Larson","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":439857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, R.L.","contributorId":28778,"corporation":false,"usgs":true,"family":"Hoffman","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":439853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McIntire, D. C.","contributorId":93710,"corporation":false,"usgs":true,"family":"McIntire","given":"D.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":439856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buktenica, M.W.","contributorId":68263,"corporation":false,"usgs":true,"family":"Buktenica","given":"M.W.","affiliations":[],"preferred":false,"id":439854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Girdner, S.F.","contributorId":71773,"corporation":false,"usgs":true,"family":"Girdner","given":"S.F.","affiliations":[],"preferred":false,"id":439855,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":77407,"text":"sir20065101B - 2007 - Chapter B. Physical, Chemical, and Biological Responses of Streams to Increasing Watershed Urbanization in the Piedmont Ecoregion of Georgia and Alabama, 2003","interactions":[],"lastModifiedDate":"2017-01-12T10:15:31","indexId":"sir20065101B","displayToPublicDate":"2006-07-28T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5101","chapter":"B","title":"Chapter B. Physical, Chemical, and Biological Responses of Streams to Increasing Watershed Urbanization in the Piedmont Ecoregion of Georgia and Alabama, 2003","docAbstract":"As part of the U.S. Geological Survey National Water-Quality Assessment Program?s effort to assess the physical, chemical, and biological responses of streams to urbanization, 30 wadable streams were sampled near Atlanta, Ga., during 2002?2003. Watersheds were selected to minimize natural factors such as geology, altitude, and climate while representing a range of urban development. A multimetric urban intensity index was calculated using watershed land use, land cover, infrastructure, and socioeconomic variables that are highly correlated with population density. The index was used to select sites along a gradient from low to high urban intensity. Response variables measured include stream hydrology and water temperature, instream habitat, field properties (pH, conductivity, dissolved oxygen, turbidity), nutrients, pesticides, suspended sediment, sulfate, chloride, Escherichia coli (E. coli) concentrations, and characterization of algal, invertebrate and fish communities. In addition, semipermeablemembrane devices (SPMDs)?passive samplers that concentrate hydrophobic organic contaminants such as polycyclicaromatic hydrocarbons (PAHs)?were used to evaluate water-quality conditions during the 4 weeks prior to biological sampling. Changes in physical, chemical, and biological conditions were evaluated using both nonparametric correlation analysis and nonmetric multidimensional scaling (MDS) ordinations and associated comparisons of dataset similarity matrices.\r\n\r\nMany of the commonly reported effects of watershed urbanization on streams were observed in this study, such as altered hydrology and increases in some chemical constituent levels. Analysis of water-chemistry data showed that specific conductance, chloride, sulfate, and pesticides increased as urbanization increased. Nutrient concentrations were not directly correlated to increases in development, but were inversely correlated to percent forest in the watershed. Analyses of SPMD-derived data showed that bioassays and certain chemical constituents such as pyrene and benzophenanthrene, both PAHs found in coal tar, were strongly correlated with measures of watershed urbanization. Hydrologic variability metrics indicated that as urban development increased, streams became flashier, with characteristic high flows having shorter duration. The hydrologic effects associated with urbanization were greatest during the fall and least apparent during the winter. No correlations were observed between increasing urbanization and stream temperature or changes in stream habitat.\r\n\r\nAlgal, invertebrate, and fish communities exhibited statistically significant changes as watersheds became increasingly urban, with the strongest responses observed in the invertebrate community followed by fishes, then algal diatom communities. Invertebrate communities were the most responsive to increasing urbanization with Ephemeroptera, Plecoptera, and Tricoptera taxa, especially Plecoptera (stoneflies) responding negatively and most strongly to increasing urbanization. Invertebrate communities were influenced more significantly by water quality, although significant responses to altered hydrology also were noted. In terms of the fish community, the percentage of cyprinids present in the stream was the only Index of Biotic Integrity metric that responded negatively to increases in watershed urbanization. Fish community response to urbanization was intermediate relative to algae and invertebrates with respect to significant metric responses as well as the overall community response to increasing urbanization. Measures of hydrologic variability were the most influential environmental variables affecting the algal community.\r\n\r\nAlthough sites were originally chosen to represent a gradient of increasing urbanization, a cluster analysis performed on the component metrics of the urban index categorized sites into four distinct groups. Multivariate analysis based on nonmetric MDS and related analyses of data ma","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Chapter B of Effects of Urbanization on Stream Ecosystems in Six Metropolitan Areas of the United States","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20065101B","usgsCitation":"Gregory, M.B., and Calhoun, D.L., 2007, Chapter B. Physical, Chemical, and Biological Responses of Streams to Increasing Watershed Urbanization in the Piedmont Ecoregion of Georgia and Alabama, 2003: U.S. Geological Survey Scientific Investigations Report 2006-5101, xii, 104 p., https://doi.org/10.3133/sir20065101B.","productDescription":"xii, 104 p.","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":120970,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5101_b.jpg"},{"id":10779,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5101B/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Georgia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.75,32.5 ], [ -85.75,34.25 ], [ -83.25,34.25 ], [ -83.25,32.5 ], [ -85.75,32.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e58e1","contributors":{"authors":[{"text":"Gregory, M. Brian","contributorId":105772,"corporation":false,"usgs":true,"family":"Gregory","given":"M.","email":"","middleInitial":"Brian","affiliations":[],"preferred":false,"id":288573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":288572,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":76934,"text":"ofr20041358 - 2007 - Initial report of the IMAGES VIII/PAGE 127 gas hydrate and paleoclimate cruise on the RV Marion Dufresne in the Gulf of Mexico, 2-18 July 2002","interactions":[],"lastModifiedDate":"2014-08-20T15:14:19","indexId":"ofr20041358","displayToPublicDate":"2006-07-03T00:00:00","publicationYear":"2007","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":"2004-1358","title":"Initial report of the IMAGES VIII/PAGE 127 gas hydrate and paleoclimate cruise on the RV Marion Dufresne in the Gulf of Mexico, 2-18 July 2002","docAbstract":"The northern Gulf of Mexico contains many documented gas hydrate deposits near the sea floor. Although gas hydrate often is present in shallow subbottom sediment, the extent of hydrate occurrence deeper than 10 meters below sea floor in basins away from vents and other surface expressions is unknown. We obtained giant piston cores, box cores, and gravity cores and performed heat-flow analyses to study these shallow gas hydrate deposits aboard the RV Marion Dufresne in July 2002. This report presents measurements and interpretations from that cruise. Our results confirm the presence of gas hydrate in vent-related sediments near the sea bed. The presence of gas hydrate near the vents is governed by the complex interaction of regional and local factors, including heat flow, fluid flow, faults, pore-water salinity, gas concentrations, and sediment properties. However, conditions appropriate for extensive gas hydrate formation were not found away from the vents.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20041358","usgsCitation":"Winters, W.J., Lorenson, T., and Paull, C.K., 2007, Initial report of the IMAGES VIII/PAGE 127 gas hydrate and paleoclimate cruise on the RV Marion Dufresne in the Gulf of Mexico, 2-18 July 2002: U.S. Geological Survey Open-File Report 2004-1358, Chapters 1-14; Appendixes A-N; Disclaimer; ReadMe, https://doi.org/10.3133/ofr20041358.","productDescription":"Chapters 1-14; Appendixes A-N; Disclaimer; ReadMe","temporalStart":"2002-07-02","temporalEnd":"2002-07-18","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":10705,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://woodshole.er.usgs.gov/pubs/of2004-1358/index.htm","linkFileType":{"id":5,"text":"html"}},{"id":194606,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20041358.PNG"}],"country":"United States","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.0,26.0 ], [ -98.0,32.0 ], [ -80.0,32.0 ], [ -80.0,26.0 ], [ -98.0,26.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66da3b","contributors":{"authors":[{"text":"Winters, William J. bwinters@usgs.gov","contributorId":522,"corporation":false,"usgs":true,"family":"Winters","given":"William","email":"bwinters@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":288169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenson, T.D. tlorenson@usgs.gov","contributorId":2622,"corporation":false,"usgs":true,"family":"Lorenson","given":"T.D.","email":"tlorenson@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":288170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":288171,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":76875,"text":"fs20043032 - 2007 - Studies on Disinfection By-Products and Drinking Water","interactions":[],"lastModifiedDate":"2012-02-02T00:14:21","indexId":"fs20043032","displayToPublicDate":"2006-06-28T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-3032","title":"Studies on Disinfection By-Products and Drinking Water","docAbstract":"Drinking water is disinfected with chemicals to remove pathogens, such as Giardia and Cryptosproridium, and prevent waterborne diseases such as cholera and typhoid. During disinfection, by-products are formed at trace concentrations. Because some of these by-products are suspected carcinogens, drinking water utilities must maintain the effectiveness of the disinfection process while minimizing the formation of by-products.","language":"ENGLISH","doi":"10.3133/fs20043032","usgsCitation":"Rostad, C.E., 2007, Studies on Disinfection By-Products and Drinking Water: U.S. Geological Survey Fact Sheet 2004-3032, 4 p., https://doi.org/10.3133/fs20043032.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":9348,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2004/3032/","linkFileType":{"id":5,"text":"html"}},{"id":121909,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2004_3032.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699df2","contributors":{"authors":[{"text":"Rostad, Colleen E. cerostad@usgs.gov","contributorId":833,"corporation":false,"usgs":true,"family":"Rostad","given":"Colleen","email":"cerostad@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":288056,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":76800,"text":"b2160 - 2007 - Geology and Mineral Resources of the East Mojave National Scenic Area, San Bernardino County, California","interactions":[],"lastModifiedDate":"2018-10-25T18:27:51","indexId":"b2160","displayToPublicDate":"2006-06-09T00:00:00","publicationYear":"2007","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":"2160","title":"Geology and Mineral Resources of the East Mojave National Scenic Area, San Bernardino County, California","docAbstract":"The rocks of the East Mojave National Scenic Area (EMNSA) record a history of dynamic geologic events that span more than 1,800 million years (m.y.). These geologic events contributed significantly to development of the spectacular vistas and panoramas present in the area today. The oldest rocks underlie much of the northern part of the EMNSA. These rocks were subjected to extreme pressures and temperatures deep in the Earth's crust about 1,700 million years ago (Ma). They were subsequently intruded by granitic magmas from about 1,695 to 1,650 Ma, by additional granitic magmas at about 1,400 Ma and, later, at about 1,100 Ma, by iron-rich magmas that crystallized to form dark igneous rocks termed diabase. Unusual potassium- and magnesium-rich rocks, emplaced at about 1,400 Ma, crop out in a few places within and near the EMNSA. Their distinctive composition results from very small degrees of partial melting of mantle peridotite that was highly enriched in incompatible trace elements. At Mountain Pass, just outside the northeast boundary of the EMNSA, the potassium- and magnesium-rich rocks are accompanied by a rare type of carbonatite, an igneous rock composed of carbonate minerals, that contains high-grade rare earth element mineralization.\r\n\r\nSubsequent to these igneous-dominated events, sedimentary strata began to be deposited at about 1,000 Ma; mostly sandstone and shale were deposited initially in marine and, less commonly, in continental environments along the west edge of the core of the North American continent. Sedimentation eventually culminated in the widespread deposition of thick marine limestones from about 400 to about 245 Ma. These limestones represent a continental-shelf environment where shallow-water limestone formed to the east and deeper water limestone formed to the west. The end of the formation of these sedimentary deposits probably was caused by uplift of the shelf, which marked the beginning of a long period of tectonic upheaval.\r\n\r\nAt about 170 Ma, widespread emplacement of coarse-grained granitic magmas began again in the region; some of these magmas also erupted as volcanic rocks. Additional episodes of magmatism took place at about 100 Ma and at 75 Ma. Most of the metallic-mineral occurrences in the EMNSA are associated with the igneous rocks that range in age from 170 to 75 Ma. During each of these magmatic events, the previously deposited sedimentary strata were buckled and broken as the entire region, part of a continental-scale fold and thrust belt, underwent crustal shortening and compression.\r\n\r\nA period of tectonic quiescence characterized the region from about 65 Ma to about 20 Ma. The quiet period ended abruptly with widespread volcanism along the southern and eastern parts of the EMNSA. The major gold deposits in the Castle Mountains are associated with this episode of volcanism. During this volcanic outburst, the crust extended laterally in several areas that border the EMNSA: along the lower Colorado River 65 km to the east, in the Kingston Range 20 km to the north, and in the central Mojave Desert 75 km to the southwest. This extensional deformation is characterized by the superposition of upper-crustal rocks over midcrustal rocks along large flat-lying faults, several of which project beneath rocks now exposed at the surface in the EMNSA. The near-surface rocks of the EMNSA, however, apparently escaped much of this intense extensional deformation. High-angle faults, which cut several of the mountain ranges, possibly have undergone several periods of movement, which date back to approximately 70 to 100 Ma. Some faults are of local importance to the physiographic development of the mountain ranges and intervening basins, and, in places, the faults seem to have localized various kinds of ore bodies and mineral occurrences.\r\n\r\nVolcanism and extensional deformation waned from 14 to 11 Ma. By approximately 10 Ma, widespread erosion had produced broad erosional dome-shaped mountains in the n","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/b2160","usgsCitation":"2007, Geology and Mineral Resources of the East Mojave National Scenic Area, San Bernardino County, California: U.S. Geological Survey Bulletin 2160, Report: viii, 265 p.; 6 Plates - Plate 1: 54 x 38 inches, Plates 2 through 6: 48 x 38 inches, https://doi.org/10.3133/b2160.","productDescription":"Report: viii, 265 p.; 6 Plates - Plate 1: 54 x 38 inches, Plates 2 through 6: 48 x 38 inches","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192236,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":110744,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81728.htm","linkFileType":{"id":5,"text":"html"},"description":"81728"},{"id":10060,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/bul/b2160/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119,32 ], [ -119,38 ], [ -114,38 ], [ -114,32 ], [ -119,32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8523","contributors":{"editors":[{"text":"Theodore, Ted G.","contributorId":6144,"corporation":false,"usgs":true,"family":"Theodore","given":"Ted","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":749891,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}} ,{"id":76193,"text":"ofr20051121 - 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2007 - Maps of Quadrangles 3062 and 2962, Charburjak (609), Khanneshin (610), Gawdezereh (615), and Galachah (616) Quadrangles, Afghanistan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:44","indexId":"ofr20051122","displayToPublicDate":"2006-03-30T00:00:00","publicationYear":"2007","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":"2005-1122","title":"Maps of Quadrangles 3062 and 2962, Charburjak (609), Khanneshin (610), Gawdezereh (615), and Galachah (616) Quadrangles, Afghanistan","docAbstract":"By selecting one of the four series options shown below, namely, -A, -B, -C, and -D for the geologic, topographic, Landsat natural-color, and Landsat false-color maps, respectively, the user will be taken to that map.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20051122","collaboration":"Prepared in cooperation with the Afghan Geological Survey and the Afghanistan Geodesy and Cartography Head Office under the auspices of the U.S. Agency for International Development and the U.S. Trade and Development Agency","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Maps of Quadrangles 3062 and 2962, Charburjak (609), Khanneshin (610), Gawdezereh (615), and Galachah (616) Quadrangles, Afghanistan: U.S. Geological Survey Open-File Report 2005-1122, 4 Maps: Varied Sizes, https://doi.org/10.3133/ofr20051122.","productDescription":"4 Maps: Varied Sizes","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10414,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1122/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 62,29.25 ], [ 62,31 ], [ 64,31 ], [ 64,29.25 ], [ 62,29.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc2db","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534775,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":53176,"text":"pp1651 - 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