{"pageNumber":"1113","pageRowStart":"27800","pageSize":"25","recordCount":40850,"records":[{"id":70026228,"text":"70026228 - 2003 - A hydrologic network supporting spatially referenced regression modeling in the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2012-03-12T17:20:24","indexId":"70026228","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"A hydrologic network supporting spatially referenced regression modeling in the Chesapeake Bay watershed","docAbstract":"The U.S. Geological Survey has developed a methodology for statistically relating nutrient sources and land-surface characteristics to nutrient loads of streams. The methodology is referred to as SPAtially Referenced Regressions On Watershed attributes (SPARROW), and relates measured stream nutrient loads to nutrient sources using nonlinear statistical regression models. A spatially detailed digital hydrologic network of stream reaches, stream-reach characteristics such as mean streamflow, water velocity, reach length, and travel time, and their associated watersheds supports the regression models. This network serves as the primary framework for spatially referencing potential nutrient source information such as atmospheric deposition, septic systems, point-sources, land use, land cover, and agricultural sources and land-surface characteristics such as land use, land cover, average-annual precipitation and temperature, slope, and soil permeability. In the Chesapeake Bay watershed that covers parts of Delaware, Maryland, Pennsylvania, New York, Virginia, West Virginia, and Washington D.C., SPARROW was used to generate models estimating loads of total nitrogen and total phosphorus representing 1987 and 1992 land-surface conditions. The 1987 models used a hydrologic network derived from an enhanced version of the U.S. Environmental Protection Agency's digital River Reach File, and course resolution Digital Elevation Models (DEMs). A new hydrologic network was created to support the 1992 models by generating stream reaches representing surface-water pathways defined by flow direction and flow accumulation algorithms from higher resolution DEMs. On a reach-by-reach basis, stream reach characteristics essential to the modeling were transferred to the newly generated pathways or reaches from the enhanced River Reach File used to support the 1987 models. To complete the new network, watersheds for each reach were generated using the direction of surface-water flow derived from the DEMs. This network improves upon existing digital stream data by increasing the level of spatial detail and providing consistency between the reach locations and topography. The hydrologic network also aids in illustrating the spatial patterns of predicted nutrient loads and sources contributed locally to each stream, and the percentages of nutrient load that reach Chesapeake Bay.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1023/A:1021356420864","issn":"01676369","usgsCitation":"Brakebill, J., and Preston, S.D., 2003, A hydrologic network supporting spatially referenced regression modeling in the Chesapeake Bay watershed: Environmental Monitoring and Assessment, v. 81, no. 1-3, p. 73-84, https://doi.org/10.1023/A:1021356420864.","startPage":"73","endPage":"84","numberOfPages":"12","costCenters":[],"links":[{"id":234288,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":208508,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1023/A:1021356420864"}],"volume":"81","issue":"1-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e42ae4b0c8380cd46465","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":408640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Preston, S. D.","contributorId":105770,"corporation":false,"usgs":true,"family":"Preston","given":"S.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":408641,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70026218,"text":"70026218 - 2003 - Inversion of high frequency surface waves with fundamental and higher modes","interactions":[],"lastModifiedDate":"2012-03-12T17:20:36","indexId":"70026218","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Inversion of high frequency surface waves with fundamental and higher modes","docAbstract":"The phase velocity of Rayleigh-waves of a layered earth model is a function of frequency and four groups of earth parameters: compressional (P)-wave velocity, shear (S)-wave velocity, density, and thickness of layers. For the fundamental mode of Rayleigh waves, analysis of the Jacobian matrix for high frequencies (2-40 Hz) provides a measure of dispersion curve sensitivity to earth model parameters. S-wave velocities are the dominant influence of the four earth model parameters. This thesis is true for higher modes of high frequency Rayleigh waves as well. Our numerical modeling by analysis of the Jacobian matrix supports at least two quite exciting higher mode properties. First, for fundamental and higher mode Rayleigh wave data with the same wavelength, higher modes can \"see\" deeper than the fundamental mode. Second, higher mode data can increase the resolution of the inverted S-wave velocities. Real world examples show that the inversion process can be stabilized and resolution of the S-wave velocity model can be improved when simultaneously inverting the fundamental and higher mode data. ?? 2002 Elsevier Science B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S0926-9851(02)00239-2","issn":"09269851","usgsCitation":"Xia, J., Miller, R., Park, C., and Tian, G., 2003, Inversion of high frequency surface waves with fundamental and higher modes: Journal of Applied Geophysics, v. 52, no. 1, p. 45-57, https://doi.org/10.1016/S0926-9851(02)00239-2.","startPage":"45","endPage":"57","numberOfPages":"13","costCenters":[],"links":[{"id":208413,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0926-9851(02)00239-2"},{"id":234149,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3e54e4b0c8380cd63caf","contributors":{"authors":[{"text":"Xia, J.","contributorId":63513,"corporation":false,"usgs":true,"family":"Xia","given":"J.","email":"","affiliations":[],"preferred":false,"id":408603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, R. D.","contributorId":92693,"corporation":false,"usgs":true,"family":"Miller","given":"R. D.","affiliations":[],"preferred":false,"id":408604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Park, C.B.","contributorId":21714,"corporation":false,"usgs":true,"family":"Park","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":408601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tian, G.","contributorId":58425,"corporation":false,"usgs":true,"family":"Tian","given":"G.","email":"","affiliations":[],"preferred":false,"id":408602,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70025057,"text":"70025057 - 2003 - The Hula Valley subsurface structure inferred from gravity data","interactions":[],"lastModifiedDate":"2017-11-18T10:06:14","indexId":"70025057","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2116,"text":"Israel Journal of Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The Hula Valley subsurface structure inferred from gravity data","docAbstract":"We use the 3-D gravity inversion technique to model the shape of the Hula basin, a pull-apart basin along the Dead Sea Transform. The interpretation was constrained using the Notera-3-well density logs and current geological knowledge. The model obtained by inversion shows a rhomb-shaped graben filled with approximately 4 km of young sediments in the deepest part of the basin. The reliability of this model was verified using 3-D forward modeling with an accuracy of 0.5 km. Curvature attributes of the gravity field depict the main fault pattern, suggesting that the Hula basin is a subsiding rhomb-shaped graben, bordered by steep-sided, deep basement faults on the western and eastern sides (Qiryat Shemona and Jordan River faults) and by gradual, en-echelon step faults on the southern and northern margins of the basin. ?? 2003 Laser Pages Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Israel Journal of Earth Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"00212164","usgsCitation":"Rybakov, M., Fleischer, L., and ten Brink, U., 2003, The Hula Valley subsurface structure inferred from gravity data: Israel Journal of Earth Sciences, v. 52, no. 3-4, p. 113-122.","startPage":"113","endPage":"122","numberOfPages":"10","costCenters":[],"links":[{"id":236094,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba77be4b08c986b3215c4","contributors":{"authors":[{"text":"Rybakov, M.","contributorId":6616,"corporation":false,"usgs":true,"family":"Rybakov","given":"M.","affiliations":[],"preferred":false,"id":403631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleischer, L.","contributorId":39565,"corporation":false,"usgs":true,"family":"Fleischer","given":"L.","email":"","affiliations":[],"preferred":false,"id":403633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":403632,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70026203,"text":"70026203 - 2003 - Hankin and Reeves' approach to estimating fish abundance in small streams: Limitations and alternatives","interactions":[],"lastModifiedDate":"2012-03-12T17:20:35","indexId":"70026203","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","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":"Hankin and Reeves' approach to estimating fish abundance in small streams: Limitations and alternatives","docAbstract":"Hankin and Reeves' (1988) approach to estimating fish abundance in small streams has been applied in stream fish studies across North America. However, their population estimator relies on two key assumptions: (1) removal estimates are equal to the true numbers of fish, and (2) removal estimates are highly correlated with snorkel counts within a subset of sampled stream units. Violations of these assumptions may produce suspect results. To determine possible sources of the assumption violations, I used data on the abundance of steelhead Oncorhynchus mykiss from Hankin and Reeves' (1988) in a simulation composed of 50,000 repeated, stratified systematic random samples from a spatially clustered distribution. The simulation was used to investigate effects of a range of removal estimates, from 75% to 100% of true fish abundance, on overall stream fish population estimates. The effects of various categories of removal-estimates-to-snorkel-count correlation levels (r = 0.75-1.0) on fish population estimates were also explored. Simulation results indicated that Hankin and Reeves' approach may produce poor results unless removal estimates exceed at least 85% of the true number of fish within sampled units and unless correlations between removal estimates and snorkel counts are at least 0.90. A potential modification to Hankin and Reeves' approach is the inclusion of environmental covariates that affect detection rates of fish into the removal model or other mark-recapture model. A potential alternative approach is to use snorkeling combined with line transect sampling to estimate fish densities within stream units. As with any method of population estimation, a pilot study should be conducted to evaluate its usefulness, which requires a known (or nearly so) population of fish to serve as a benchmark for evaluating bias and precision of estimators.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1577/1548-8659(2003)132<0069:HARATE>2.0.CO;2","issn":"00028487","usgsCitation":"Thompson, W., 2003, Hankin and Reeves' approach to estimating fish abundance in small streams: Limitations and alternatives: Transactions of the American Fisheries Society, v. 132, no. 1, p. 69-75, https://doi.org/10.1577/1548-8659(2003)132<0069:HARATE>2.0.CO;2.","startPage":"69","endPage":"75","numberOfPages":"7","costCenters":[],"links":[{"id":208926,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/1548-8659(2003)132<0069:HARATE>2.0.CO;2"},{"id":235032,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"132","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f6ee4b0c8380cd5cda7","contributors":{"authors":[{"text":"Thompson, W.L.","contributorId":83234,"corporation":false,"usgs":true,"family":"Thompson","given":"W.L.","email":"","affiliations":[],"preferred":false,"id":408499,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70026160,"text":"70026160 - 2003 - Conjunctive-management models for sustained yield of stream-aquifer systems","interactions":[],"lastModifiedDate":"2012-03-12T17:20:31","indexId":"70026160","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","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":"Conjunctive-management models for sustained yield of stream-aquifer systems","docAbstract":"Conjunctive-management models that couple numerical simulation with linear optimization were developed to evaluate trade-offs between groundwater withdrawals and streamflow depletions for alluvial-valley stream-aquifer systems representative of those of the northeastern United States. A conjunctive-management model developed for a hypothetical stream-aquifer system was used to assess the effect of interannual hydrologic variability on minimum monthly streamflow requirements. The conjunctive-management model was applied to the Hunt-Annaquatucket-Pettaquamscutt stream-aquifer system of central Rhode Island. Results show that it is possible to increase the amount of current withdrawal from the aquifer by as much as 50% by modifying current withdrawal schedules, modifying the number and configuration of wells in the supply-well network, or allowing increased streamflow depletion in the Annaquatucket and Pettaquamscutt rivers. Alternatively, it is possible to reduce current rates of streamflow depletion in the Hunt River by as much as 35% during the summer, but such reductions would result increases in groundwater withdrawals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Water Resources Planning and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)0733-9496(2003)129:1(35)","issn":"07339496","usgsCitation":"Barlow, P.M., Ahlfeld, D., and Dickerman, D., 2003, Conjunctive-management models for sustained yield of stream-aquifer systems: Journal of Water Resources Planning and Management, v. 129, no. 1, p. 35-48, https://doi.org/10.1061/(ASCE)0733-9496(2003)129:1(35).","startPage":"35","endPage":"48","numberOfPages":"14","costCenters":[],"links":[{"id":208862,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)0733-9496(2003)129:1(35)"},{"id":234925,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f9c7e4b0c8380cd4d797","contributors":{"authors":[{"text":"Barlow, P. M.","contributorId":63022,"corporation":false,"usgs":true,"family":"Barlow","given":"P.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":408194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahlfeld, D.P.","contributorId":94470,"corporation":false,"usgs":true,"family":"Ahlfeld","given":"D.P.","affiliations":[],"preferred":false,"id":408195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickerman, D.C.","contributorId":48601,"corporation":false,"usgs":true,"family":"Dickerman","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":408193,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70026159,"text":"70026159 - 2003 - Gold deposits in metamorphic belts: Overview of current understanding, outstanding problems, future research, and exploration significance","interactions":[],"lastModifiedDate":"2021-07-27T17:27:39.614134","indexId":"70026159","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Gold deposits in metamorphic belts: Overview of current understanding, outstanding problems, future research, and exploration significance","docAbstract":"Metamorphic belts are complex regions where accretion or collision has added to, or thickened, continental crust. Gold-rich deposits can be formed at all stages of orogen evolution, so that evolving metamorphic belts contain diverse gold deposit types that may be juxtaposed or overprint each other. This partly explains the high level of controversy on the origin of some deposit types, particularly those formed or overprinted/remobilized during the major compressional orogeny that shaped the final geometry of the hosting metamorphic belts. These include gold-dominated orogenic and intrusion-related deposits, but also particularly controversial gold deposits with atypical metal associations. There are a number of outstanding problems for all types of gold deposits in metamorphc belts. These include the following: (1) definitive classifications, (2) unequivocal recognition of fluid and metal sources, (3) understanding of fluid migration and focusing at all scales, (4) resolution of the precise role of granitoid magmatism, (5) precise gold-depositional mechanisms, particularly those producing high gold grades, and (6) understanding of the release of CO2-rich fluids from subducting slabs and subcreted oceanic crust and granitoid magmas at different crustal levels. Research needs to be better coordinated and more integrated, such that detailed fluid-inclusion, trace-element, and isotopic studies of both gold deposits and potential source rocks, using cutting-edge technology, are embedded in a firm geological framework at terrane to deposit scales. Ultimately, four-dimensional models need to be developed, involving high-quality, three-dimensional geological data combined with integrated chemical and fluid-flow modeling, to understand the total history of the hydrothermal systems involved. Such research, particularly that which can predict superior targets visible in data sets available to exploration companies before discovery, has obvious spin-offs for global- to deposit-scale targeting of deposits with superior size and grade in the covered terranes that will be the exploration focus of the twenty-first century.","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/gsecongeo.98.1.1","issn":"03610128","usgsCitation":"Groves, D., Goldfarb, R., Robert, F., and Hart, C., 2003, Gold deposits in metamorphic belts: Overview of current understanding, outstanding problems, future research, and exploration significance: Economic Geology, v. 98, no. 1, p. 1-29, https://doi.org/10.2113/gsecongeo.98.1.1.","productDescription":"29 p.","startPage":"1","endPage":"29","costCenters":[],"links":[{"id":387479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2984e4b0c8380cd5a9f8","contributors":{"authors":[{"text":"Groves, D.I.","contributorId":73616,"corporation":false,"usgs":true,"family":"Groves","given":"D.I.","email":"","affiliations":[],"preferred":false,"id":408192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldfarb, R.J.","contributorId":38143,"corporation":false,"usgs":true,"family":"Goldfarb","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":408190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robert, F.","contributorId":25725,"corporation":false,"usgs":true,"family":"Robert","given":"F.","email":"","affiliations":[],"preferred":false,"id":408189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, C.J.R.","contributorId":67228,"corporation":false,"usgs":true,"family":"Hart","given":"C.J.R.","email":"","affiliations":[],"preferred":false,"id":408191,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70026151,"text":"70026151 - 2003 - Microbial cycling of mercury in contaminated pelagic and wetland sediments of San Pablo Bay, California","interactions":[],"lastModifiedDate":"2018-11-19T08:10:38","indexId":"70026151","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1539,"text":"Environmental Geology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial cycling of mercury in contaminated pelagic and wetland sediments of San Pablo Bay, California","docAbstract":"<p class=\"Para\">San Pablo Bay is an estuary, within northern San Francisco Bay, containing elevated sediment mercury (Hg) levels because of historic loading of hydraulic mining debris during the California gold-rush of the late 1800s. A preliminary investigation of benthic microbial Hg cycling was conducted in surface sediment (0–4&nbsp;cm) collected from one salt-marsh and three open-water sites. A deeper profile (0–26&nbsp;cm) was evaluated at one of the open-water locations. Radiolabeled model Hg-compounds were used to measure rates of both methylmercury (MeHg) production and degradation by bacteria. While all sites and depths had similar total-Hg concentrations (0.3–0.6&nbsp;ppm), and geochemical signatures of mining debris (as εNd, range: –3.08 to –4.37), in-situ MeHg was highest in the marsh (5.4±3.5&nbsp;ppb) and ≤0.7&nbsp;ppb in all open-water sites. Microbial MeHg production (potential rate) in 0–4 surface sediments was also highest in the marsh (3.1&nbsp;ng&nbsp;g<sup>–1</sup>&nbsp;wet sediment&nbsp;day<sup>–1</sup>) and below detection (&lt;0.06&nbsp;ng&nbsp;g<sup>–1</sup>&nbsp;wet sediment&nbsp;day<sup>–1</sup>) in open-water locations. The marsh exhibited a methylation/demethylation (M/D) ratio more than 25× that of all open-water locations. Only below the surface 0–4-cm horizon was significant MeHg production potential evident in the open-water sediment profile (0.2–1.1&nbsp;ng&nbsp;g<sup>–1</sup>&nbsp;wet&nbsp;sediment&nbsp;day<sup>–1</sup>). In-situ Hg methylation rates, calculated from radiotracer rate constants, and in-situ inorganic Hg(II) concentrations compared well with potential rates. However, similarly calculated in-situ rates of MeHg degradation were much lower than potential rates. These preliminary data indicate that wetlands surrounding San Pablo Bay represent important zones of MeHg production, more so than similarly Hg-contaminated adjacent open-water areas. This has significant implications for this and other Hg-impacted systems, where wetland expansion is currently planned.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00254-002-0623-y","issn":"09430105","usgsCitation":"Marvin-DiPasquale, M., Agee, J., Bouse, R.M., and Jaffe, B.E., 2003, Microbial cycling of mercury in contaminated pelagic and wetland sediments of San Pablo Bay, California: Environmental Geology, v. 43, no. 3, p. 260-267, https://doi.org/10.1007/s00254-002-0623-y.","productDescription":"8 p.","startPage":"260","endPage":"267","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":234772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California ","otherGeospatial":"San Pablo Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.45704650878905,\n              37.98019812825676\n            ],\n            [\n              -122.46356964111327,\n              37.982092409208875\n            ],\n            [\n              -122.46803283691405,\n              37.98425724185128\n            ],\n            [\n              -122.47352600097658,\n              37.98236301678186\n            ],\n            [\n              -122.47421264648439,\n              37.979115660044805\n            ],\n            [\n              -122.47798919677733,\n              37.97397371800425\n            ],\n            [\n              -122.48416900634766,\n              37.972079227501396\n            ],\n            [\n              -122.48519897460936,\n              37.970725990064786\n            ],\n            [\n              -122.49446868896483,\n              37.96883141574578\n            ],\n            [\n              -122.48863220214842,\n              37.95719224376526\n            ],\n            [\n              -122.4869155883789,\n              37.94717566570979\n            ],\n            [\n              -122.47695922851562,\n              37.94230224202578\n            ],\n            [\n              -122.44949340820312,\n              37.9363453963773\n            ],\n            [\n              -122.41069793701172,\n              37.9330960043492\n            ],\n            [\n              -122.41378784179688,\n              37.937428495133396\n            ],\n            [\n              -122.41172790527345,\n              37.94121921509192\n            ],\n            [\n              -122.41584777832031,\n              37.94528048379506\n            ],\n            [\n              -122.42374420166016,\n              37.94582196933006\n            ],\n            [\n              -122.4196243286133,\n              37.95340234782487\n            ],\n            [\n              -122.42546081542967,\n              37.95827503526034\n            ],\n            [\n              -122.43061065673827,\n              37.96774877989782\n            ],\n            [\n              -122.4209976196289,\n              37.965854128749434\n            ],\n            [\n              -122.4100112915039,\n              37.96152331396614\n            ],\n            [\n              -122.40966796874999,\n              37.95692154339725\n            ],\n            [\n              -122.40554809570311,\n              37.95502661288625\n            ],\n            [\n              -122.39936828613281,\n              37.95394377350263\n            ],\n            [\n              -122.39765167236327,\n              37.95394377350263\n            ],\n            [\n              -122.39627838134766,\n              37.95502661288625\n            ],\n            [\n              -122.39902496337889,\n              37.95719224376526\n            ],\n            [\n              -122.39627838134766,\n              37.9585457306399\n            ],\n            [\n              -122.3938751220703,\n              37.9593578107923\n            ],\n            [\n              -122.39542007446289,\n              37.96389175994797\n            ],\n            [\n              -122.39765167236327,\n              37.96829009981737\n            ],\n            [\n              -122.39318847656249,\n              37.96991403562913\n            ],\n            [\n              -122.39112854003905,\n              37.96910207221332\n            ],\n            [\n              -122.38846778869627,\n              37.969440391394585\n            ],\n            [\n              -122.38838195800781,\n              37.97153793552019\n            ],\n            [\n              -122.38520622253417,\n              37.97167325888967\n            ],\n            [\n              -122.38572120666504,\n              37.973838398875515\n            ],\n            [\n              -122.3832321166992,\n              37.97593581733786\n            ],\n            [\n              -122.37876892089842,\n              37.97586815961326\n            ],\n            [\n              -122.37387657165527,\n              37.9743120147347\n            ],\n            [\n              -122.36409187316895,\n              37.983107182462135\n            ],\n            [\n              -122.35937118530273,\n              37.98973668903741\n            ],\n            [\n              -122.36040115356447,\n              37.9942011212103\n            ],\n            [\n              -122.36246109008789,\n              37.99650087417057\n            ],\n            [\n              -122.36580848693848,\n              37.99751544814143\n            ],\n            [\n              -122.36666679382324,\n              38.00292627228207\n            ],\n            [\n              -122.3682117462158,\n              38.00799855732857\n            ],\n            [\n              -122.36640930175781,\n              38.012935244447135\n            ],\n            [\n              -122.36400604248047,\n              38.011582760492196\n            ],\n            [\n              -122.36083030700682,\n              38.008539580355944\n            ],\n            [\n              -122.35542297363281,\n              38.00833669718854\n            ],\n            [\n              -122.35095977783202,\n              38.00833669718854\n            ],\n            [\n              -122.34649658203124,\n              38.00536101289634\n            ],\n            [\n              -122.33860015869139,\n              38.00292627228207\n            ],\n            [\n              -122.33276367187499,\n              38.00103252924477\n            ],\n            [\n              -122.3276138305664,\n              38.00292627228207\n            ],\n            [\n              -122.31834411621095,\n              38.00860720795364\n            ],\n            [\n              -122.31628417968749,\n              38.012664749652494\n            ],\n            [\n              -122.3063278198242,\n              38.0107712581413\n            ],\n            [\n              -122.29980468749999,\n              38.01104175992311\n            ],\n            [\n              -122.29705810546874,\n              38.014017213643996\n            ],\n            [\n              -122.2943115234375,\n              38.01564013749379\n            ],\n            [\n              -122.29122161865233,\n              38.01969728990135\n            ],\n            [\n              -122.29259490966795,\n              38.02213147353745\n            ],\n            [\n              -122.28641510009766,\n              38.021861012681974\n            ],\n            [\n              -122.28160858154297,\n              38.02240193339466\n            ],\n            [\n              -122.27405548095702,\n              38.032137823399275\n            ],\n            [\n              -122.27474212646483,\n              38.037546092117\n            ],\n            [\n              -122.2726821899414,\n              38.040250076719225\n            ],\n            [\n              -122.26341247558594,\n              38.03889809689809\n            ],\n            [\n              -122.26341247558594,\n              38.04755033643351\n            ],\n            [\n              -122.26306915283205,\n              38.052687119903034\n            ],\n            [\n              -122.25929260253906,\n              38.052146422828116\n            ],\n            [\n              -122.25311279296874,\n              38.052416771864834\n            ],\n            [\n              -122.24933624267578,\n              38.05701255271462\n            ],\n            [\n              -122.24109649658203,\n              38.05863452411495\n            ],\n            [\n              -122.23491668701172,\n              38.05782354290831\n            ],\n            [\n              -122.22873687744139,\n              38.05782354290831\n            ],\n            [\n              -122.22187042236328,\n              38.05782354290831\n            ],\n            [\n              -122.21260070800781,\n              38.05701255271462\n            ],\n            [\n              -122.20161437988281,\n              38.05430918716337\n            ],\n            [\n              -122.18856811523436,\n              38.05295746694274\n            ],\n            [\n              -122.18479156494142,\n              38.04944287754316\n            ],\n            [\n              -122.17964172363281,\n              38.04430586642022\n            ],\n            [\n              -122.17517852783203,\n              38.03970928778597\n            ],\n            [\n              -122.17346191406249,\n              38.03348992801713\n            ],\n            [\n              -122.16796875,\n              38.028622234587964\n            ],\n            [\n              -122.15045928955077,\n              38.021590550828236\n            ],\n            [\n              -122.14324951171874,\n              38.02294285011436\n            ],\n            [\n              -122.14050292968749,\n              38.02618826657808\n            ],\n            [\n              -122.135009765625,\n              38.02835179769117\n            ],\n            [\n              -122.12814331054686,\n              38.029703972192\n            ],\n            [\n              -122.12230682373048,\n              38.03105612173487\n            ],\n            [\n              -122.11132049560547,\n              38.03646447032118\n            ],\n            [\n              -122.10582733154295,\n              38.04079086165885\n            ],\n            [\n              -122.0972442626953,\n              38.04160203158016\n            ],\n            [\n              -122.09415435791016,\n              38.04349472645177\n            ],\n            [\n              -122.09003448486327,\n              38.04782070244462\n            ],\n            [\n              -122.07698822021484,\n              38.04944287754316\n            ],\n            [\n              -122.07286834716795,\n              38.04944287754316\n            ],\n            [\n              -122.09896087646484,\n              38.08052761936274\n            ],\n            [\n              -122.10891723632812,\n              38.07350092012434\n            ],\n            [\n              -122.11200714111328,\n              38.0694467480777\n            ],\n            [\n              -122.1247100830078,\n              38.05457952821193\n            ],\n            [\n              -122.12951660156249,\n              38.04457624441283\n            ],\n            [\n              -122.13363647460938,\n              38.043765107439675\n            ],\n            [\n              -122.1463394165039,\n              38.04268357749736\n            ],\n            [\n              -122.1566390991211,\n              38.042953961480585\n            ],\n            [\n              -122.16625213623045,\n              38.04403548742916\n            ],\n            [\n              -122.16384887695312,\n              38.04619849140099\n            ],\n            [\n              -122.1617889404297,\n              38.048091067457236\n            ],\n            [\n              -122.16247558593751,\n              38.049713236564884\n            ],\n            [\n              -122.16522216796875,\n              38.052416771864834\n            ],\n            [\n              -122.17449188232422,\n              38.0575532138423\n            ],\n            [\n              -122.18032836914062,\n              38.06106741381201\n            ],\n            [\n              -122.18410491943358,\n              38.063770529720564\n            ],\n            [\n              -122.1844482421875,\n              38.066743841880246\n            ],\n            [\n              -122.18650817871094,\n              38.068906174827404\n            ],\n            [\n              -122.19303131103516,\n              38.068906174827404\n            ],\n            [\n              -122.19303131103516,\n              38.0656626514393\n            ],\n            [\n              -122.19303131103516,\n              38.06241898424877\n            ],\n            [\n              -122.19303131103516,\n              38.060256459566865\n            ],\n            [\n              -122.1964645385742,\n              38.059715818410524\n            ],\n            [\n              -122.200927734375,\n              38.06160804498248\n            ],\n            [\n              -122.20230102539062,\n              38.06322991452768\n            ],\n            [\n              -122.20436096191405,\n              38.0656626514393\n            ],\n            [\n              -122.20642089843749,\n              38.067554724225275\n            ],\n            [\n              -122.21260070800781,\n              38.065932950547484\n            ],\n            [\n              -122.22221374511717,\n              38.065932950547484\n            ],\n            [\n              -122.2283935546875,\n              38.06620324865703\n            ],\n            [\n              -122.2335433959961,\n              38.0694467480777\n            ],\n            [\n              -122.23628997802734,\n              38.070798163726785\n            ],\n            [\n              -122.2390365600586,\n              38.0729603768343\n            ],\n            [\n              -122.24796295166017,\n              38.07674409597339\n            ],\n            [\n              -122.24933624267578,\n              38.07458199472\n            ],\n            [\n              -122.25173950195311,\n              38.07241982954952\n            ],\n            [\n              -122.25448608398436,\n              38.0729603768343\n            ],\n            [\n              -122.25723266601562,\n              38.0705278825943\n            ],\n            [\n              -122.25894927978514,\n              38.06863588670429\n            ],\n            [\n              -122.26821899414061,\n              38.06701413699389\n            ],\n            [\n              -122.27542877197264,\n              38.06539235133249\n            ],\n            [\n              -122.27714538574219,\n              38.0729603768343\n            ],\n            [\n              -122.28195190429686,\n              38.082419307649296\n            ],\n            [\n              -122.29019165039062,\n              38.09214721719905\n            ],\n            [\n              -122.3052978515625,\n              38.10592620640843\n            ],\n            [\n              -122.33585357666014,\n              38.12132317831781\n            ],\n            [\n              -122.36366271972655,\n              38.13428653167246\n            ],\n            [\n              -122.38906860351562,\n              38.14265747385727\n            ],\n            [\n              -122.39559173583984,\n              38.14319750166766\n            ],\n            [\n              -122.40280151367188,\n              38.15075747130226\n            ],\n            [\n              -122.40589141845703,\n              38.153727245014004\n            ],\n            [\n              -122.40589141845703,\n              38.14616758317493\n            ],\n            [\n              -122.40554809570311,\n              38.14076734504349\n            ],\n            [\n              -122.41207122802734,\n              38.13482662143656\n            ],\n            [\n              -122.41928100585938,\n              38.13077585078312\n            ],\n            [\n              -122.43713378906249,\n              38.120512892298976\n            ],\n            [\n              -122.43988037109374,\n              38.117001548978614\n            ],\n            [\n              -122.44468688964844,\n              38.11484063839791\n            ],\n            [\n              -122.44743347167969,\n              38.11619121500379\n            ],\n            [\n              -122.45121002197266,\n              38.1164613273278\n            ],\n            [\n              -122.45361328124999,\n              38.119162395618986\n            ],\n            [\n              -122.45704650878905,\n              38.11943249695316\n            ],\n            [\n              -122.48519897460936,\n              38.11349003681576\n            ],\n            [\n              -122.49137878417969,\n              38.110518625420134\n            ],\n            [\n              -122.48897552490234,\n              38.10457543999035\n            ],\n            [\n              -122.48794555664061,\n              38.09809141355002\n            ],\n            [\n              -122.4869155883789,\n              38.095389566050656\n            ],\n            [\n              -122.48588562011717,\n              38.0916068117397\n            ],\n            [\n              -122.48313903808594,\n              38.08160859009049\n            ],\n            [\n              -122.48416900634766,\n              38.0705278825943\n            ],\n            [\n              -122.4869155883789,\n              38.06295960543331\n            ],\n            [\n              -122.49172210693358,\n              38.05430918716337\n            ],\n            [\n              -122.4930953979492,\n              38.048631794487044\n            ],\n            [\n              -122.49378204345702,\n              38.04322434446539\n            ],\n            [\n              -122.49893188476561,\n              38.02727004012099\n            ],\n            [\n              -122.4965286254883,\n              38.02050869343089\n            ],\n            [\n              -122.49927520751953,\n              38.016451585943095\n            ],\n            [\n              -122.49481201171875,\n              38.01455819225335\n            ],\n            [\n              -122.4872589111328,\n              38.012664749652494\n            ],\n            [\n              -122.48348236083984,\n              38.01050075536135\n            ],\n            [\n              -122.47936248779295,\n              38.008066185425335\n            ],\n            [\n              -122.47592926025389,\n              38.00698412839117\n            ],\n            [\n              -122.47249603271484,\n              38.00563153464076\n            ],\n            [\n              -122.4707794189453,\n              38.004819966413194\n            ],\n            [\n              -122.46871948242186,\n              38.00454944167447\n            ],\n            [\n              -122.46391296386719,\n              38.00292627228207\n            ],\n            [\n              -122.45532989501953,\n              37.99751544814143\n            ],\n            [\n              -122.45258331298828,\n              37.99480988636414\n            ],\n            [\n              -122.44674682617188,\n              37.98858671553364\n            ],\n            [\n              -122.44606018066406,\n              37.98425724185128\n            ],\n            [\n              -122.45704650878905,\n              37.98019812825676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5649e4b0c8380cd6d4ad","contributors":{"authors":[{"text":"Marvin-DiPasquale, M. C.","contributorId":6605,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"M. C.","affiliations":[],"preferred":false,"id":408133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agee, J.L. jlagee@usgs.gov","contributorId":103452,"corporation":false,"usgs":true,"family":"Agee","given":"J.L.","email":"jlagee@usgs.gov","affiliations":[],"preferred":false,"id":408136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bouse, R. M.","contributorId":33709,"corporation":false,"usgs":true,"family":"Bouse","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":408134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaffe, B. E.","contributorId":88327,"corporation":false,"usgs":true,"family":"Jaffe","given":"B.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":408135,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70026138,"text":"70026138 - 2003 - Initial river test of a monostatic RiverSonde streamflow measurement system","interactions":[],"lastModifiedDate":"2023-03-10T18:39:27.205922","indexId":"70026138","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Initial river test of a monostatic RiverSonde streamflow measurement system","docAbstract":"A field experiment was conducted on May 7-8, 2002 using a CODAR RiverSonde UHF radar system at Vernalis, California on the San Joaquin River. The monostatic radar configuration on one bank of the river, with the antennas looking both upriver and downriver, provided very high-quality data. Estimates of both along-river and cross-river surface current were generated using several models, including one based on normal-mode analysis. Along-river surface velocities ranged from about 0.6 m/s at the river banks to about 1.0 m/s near the middle of the river. Average cross-river surface velocities were 0.02 m/s or less.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the IEEE Working Conference on Current Measurement","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Proceedings of the IEEE Seventh Working Conference on Current Measurement; Current and Wave Monitoring and Emerging Technologies","conferenceDate":"March 13-15, 2003","conferenceLocation":"San Diego, California, United States","language":"English","doi":"10.1109/CCM.2003.1194281","usgsCitation":"Teague, C., Barrick, D., Lilleboe, P., and Cheng, R.T., 2003, Initial river test of a monostatic RiverSonde streamflow measurement system, <i>in</i> Proceedings of the IEEE Working Conference on Current Measurement, San Diego, California, United States, March 13-15, 2003, p. 46-50, https://doi.org/10.1109/CCM.2003.1194281.","productDescription":"5 p.","startPage":"46","endPage":"50","costCenters":[],"links":[{"id":234522,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Vernalis","otherGeospatial":"San Joaquin River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.34306105965155,\n              37.70722574782812\n            ],\n            [\n              -121.34306105965155,\n              37.564761014880446\n            ],\n            [\n              -121.14427718513983,\n              37.564761014880446\n            ],\n            [\n              -121.14427718513983,\n              37.70722574782812\n            ],\n            [\n              -121.34306105965155,\n              37.70722574782812\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3beae4b0c8380cd62927","contributors":{"editors":[{"text":"Rizoli J.A.","contributorId":128304,"corporation":true,"usgs":false,"organization":"Rizoli J.A.","id":536577,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Teague, C.C.","contributorId":17758,"corporation":false,"usgs":true,"family":"Teague","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":408071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrick, D.E.","contributorId":86483,"corporation":false,"usgs":true,"family":"Barrick","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":408074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lilleboe, P.M.","contributorId":25284,"corporation":false,"usgs":true,"family":"Lilleboe","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":408073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheng, R. T.","contributorId":23138,"corporation":false,"usgs":false,"family":"Cheng","given":"R.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":408072,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70025032,"text":"70025032 - 2003 - Influence of salinity on the localization of Na+/K +-ATPase, Na+/K+/2Cl- cotransporter (NKCC) and CFTR anion channel in chloride cells of the Hawaiian goby (Stenogobius hawaiiensis)","interactions":[],"lastModifiedDate":"2012-03-12T17:20:12","indexId":"70025032","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of salinity on the localization of Na+/K +-ATPase, Na+/K+/2Cl- cotransporter (NKCC) and CFTR anion channel in chloride cells of the Hawaiian goby (Stenogobius hawaiiensis)","docAbstract":"Na+/K+-ATPase, Na+/K+/2Cl- cotransporter (NKCC) and cystic fibrosis transmembrane conductance regulator (CFTR) are the three major transport proteins thought to be involved in chloride secretion in teleost fish. If this is the case, the levels of these transporters should be high in chloride cells of seawater-acclimated fish. We therefore examined the influence of salinity on immunolocalization of Na +/K+-ATPase, NKCC and CFTR in the gills of the Hawaiian goby (Stenogobius hawaiiensis). Fish were acclimated to freshwater and 20??? and 30??? seawater for 10 days. Na+/K +-ATPase and NKCC were localized specifically to chloride cells and stained throughout most of the cell except for the nucleus and the most apical region, indicating a basolateral/tubular distribution. All Na+/K +-ATPase-positive chloride cells were also positive for NKCC in all salinities. Salinity caused a slight increase in chloride cell number and size and a slight decrease in staining intensity for Na+/K +-ATPase and NKCC, but the basic pattern of localization was not altered. Gill Na+/K+-ATPase activity was also not affected by salinity. CFTR was localized to the apical surface of chloride cells, and only cells staining positive for Na+/K+-ATPase were CFTR-positive. CFTR-positive cells greatly increased in number (5-fold), area stained (53%) and intensity (29%) after seawater acclimation. In freshwater, CFTR immunoreactivity was light and occurred over a broad apical surface on chloride cells, whereas in seawater there was intense immunoreactivity around the apical pit (which was often punctate in appearance) and a light subapical staining. The results indicate that Na+/K +-ATPase, NKCC and CFTR are all present in chloride cells and support current models that all three are responsible for chloride secretion by chloride cells of teleost fish.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Experimental Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1242/jeb.00711","issn":"00220949","usgsCitation":"McCormick, S., Sundell, K., Bjornsson, B.T., Brown, C.L., and Hiroi, J., 2003, Influence of salinity on the localization of Na+/K +-ATPase, Na+/K+/2Cl- cotransporter (NKCC) and CFTR anion channel in chloride cells of the Hawaiian goby (Stenogobius hawaiiensis): Journal of Experimental Biology, v. 206, no. 24, p. 4575-4583, https://doi.org/10.1242/jeb.00711.","startPage":"4575","endPage":"4583","numberOfPages":"9","costCenters":[],"links":[{"id":207708,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1242/jeb.00711"},{"id":232871,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"206","issue":"24","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3b75e4b0c8380cd62549","contributors":{"authors":[{"text":"McCormick, S. D. 0000-0003-0621-6200","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":20278,"corporation":false,"usgs":true,"family":"McCormick","given":"S. D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":403515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sundell, K.","contributorId":90909,"corporation":false,"usgs":true,"family":"Sundell","given":"K.","email":"","affiliations":[],"preferred":false,"id":403519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjornsson, Bjorn Thrandur","contributorId":28928,"corporation":false,"usgs":true,"family":"Bjornsson","given":"Bjorn","email":"","middleInitial":"Thrandur","affiliations":[],"preferred":false,"id":403516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, C. L.","contributorId":35678,"corporation":false,"usgs":true,"family":"Brown","given":"C.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":403517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hiroi, J.","contributorId":48289,"corporation":false,"usgs":true,"family":"Hiroi","given":"J.","email":"","affiliations":[],"preferred":false,"id":403518,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70025018,"text":"70025018 - 2003 - Toggling of seismicity by the 1997 Kagoshima earthquake couplet: A demonstration of time-dependent stress transfer","interactions":[],"lastModifiedDate":"2012-03-12T17:20:09","indexId":"70025018","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Toggling of seismicity by the 1997 Kagoshima earthquake couplet: A demonstration of time-dependent stress transfer","docAbstract":"Two M ??? 6 well-recorded strike-slip earthquakes struck just 4 km and 48 days apart in Kagoshima prefecture, Japan, in 1997, providing an opportunity to study earthquake interaction. Aftershocks are abundant where the Coulomb stress is calculated to have been increased by the first event, and they abruptly stop where the stress is dropped by the second event. This ability of the main shocks to toggle seismicity on and off argues that static stress changes play a major role in exciting aftershocks, whereas the dynamic Coulomb stresses, which should only promote seismicity, appear to play a secondary role. If true, the net stress changes from a sequence of earthquakes might be expected to govern the subsequent seismicity distribution. However, adding the stress changes from the two Kagoshima events does not fully capture the ensuing seismicity, such as its rate change, temporal decay, or migration away from the ends of the ruptures. We therefore implement a stress transfer model that incorporates rate/state friction, in which seismicity is treated as a sequence of independent nucleation events that are dependent on the fault slip, slip rate, and elapsed time since the last event. The model reproduces the temporal response of seismicity to successive stress changes, including toggling, decay, and aftershock migration. Nevertheless, the match of observed to predicted seismicity is quite imperfect, due perhaps to inadequate knowledge of several model parameters. However, to demonstrate the potential of this approach, we build a probabilistic forecast of larger earthquakes on the expected rate of small aftershocks, taking advantage of the large statistical sample the small shocks afford. Not surprisingly, such probabilities are highly time- and location-dependent: During the first decade after the main shocks, the seismicity rate and the chance of successive large shocks are about an order of magnitude higher than the background rate and are concentrated exclusively in the stress triggering zones. Copyright 2003 by the American Geophysical Uion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"01480227","usgsCitation":"Toda, S., and Stein, R., 2003, Toggling of seismicity by the 1997 Kagoshima earthquake couplet: A demonstration of time-dependent stress transfer: Journal of Geophysical Research B: Solid Earth, v. 108, no. 12.","costCenters":[],"links":[{"id":233224,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb42ce4b08c986b326219","contributors":{"authors":[{"text":"Toda, S.","contributorId":102228,"corporation":false,"usgs":true,"family":"Toda","given":"S.","email":"","affiliations":[],"preferred":false,"id":403459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, R.","contributorId":18507,"corporation":false,"usgs":true,"family":"Stein","given":"R.","affiliations":[],"preferred":false,"id":403458,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70025788,"text":"70025788 - 2003 - Quaternary low-angle slip on detachment faults in Death Valley, California","interactions":[],"lastModifiedDate":"2012-03-12T17:20:23","indexId":"70025788","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary low-angle slip on detachment faults in Death Valley, California","docAbstract":"Detachment faults on the west flank of the Black Mountains (Nevada and California) dip 29??-36?? and cut subhorizontal layers of the 0.77 Ma Bishop ash. Steeply dipping normal faults confined to the hanging walls of the detachments offset layers of the 0.64 Ma Lava Creek B tephra and the base of 0.12-0.18 Ma Lake Manly gravel. These faults sole into and do not cut the low-angle detachments. Therefore the detachments accrued any measurable slip across the kinematically linked hanging-wall faults. An analysis of the orientations of hundreds of the hanging-wall faults shows that extension occurred at modest slip rates (<1 mm/yr) under a steep to vertically oriented maximum principal stress. The Black Mountain detachments are appropriately described as the basal detachments of near-critical Coulomb wedges. We infer that the formation of late Pleistocene and Holocene range-front fault scarps accompanied seismogenic slip on the detachments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/0091-7613(2003)031<0343:QLASOD>2.0.CO;2","issn":"00917613","usgsCitation":"Hayman, N., Knott, J., Cowan, D., Nemser, E., and Sarna-Wojcicki, A., 2003, Quaternary low-angle slip on detachment faults in Death Valley, California: Geology, v. 31, no. 4, p. 343-346, https://doi.org/10.1130/0091-7613(2003)031<0343:QLASOD>2.0.CO;2.","startPage":"343","endPage":"346","numberOfPages":"4","costCenters":[],"links":[{"id":208745,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/0091-7613(2003)031<0343:QLASOD>2.0.CO;2"},{"id":234712,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a92d2e4b0c8380cd80a80","contributors":{"authors":[{"text":"Hayman, N.W.","contributorId":39989,"corporation":false,"usgs":true,"family":"Hayman","given":"N.W.","email":"","affiliations":[],"preferred":false,"id":406588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knott, J.R.","contributorId":26847,"corporation":false,"usgs":true,"family":"Knott","given":"J.R.","affiliations":[],"preferred":false,"id":406586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cowan, D.S.","contributorId":31555,"corporation":false,"usgs":true,"family":"Cowan","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":406587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nemser, E.","contributorId":68079,"corporation":false,"usgs":true,"family":"Nemser","given":"E.","email":"","affiliations":[],"preferred":false,"id":406589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sarna-Wojcicki, A.M. 0000-0002-0244-9149","orcid":"https://orcid.org/0000-0002-0244-9149","contributorId":104022,"corporation":false,"usgs":true,"family":"Sarna-Wojcicki","given":"A.M.","affiliations":[],"preferred":false,"id":406590,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187629,"text":"70187629 - 2003 - Ecology of selected marine communities in Glacier Bay: Zooplankton, forage fish, seabirds and marine mammals","interactions":[],"lastModifiedDate":"2017-05-11T13:22:00","indexId":"70187629","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Ecology of selected marine communities in Glacier Bay: Zooplankton, forage fish, seabirds and marine mammals","docAbstract":"<p>We studied oceanography (including primary production), secondary production, small schooling fish (SSF), and marine bird and mammal predators in Glacier Bay during 1999 and 2000. Results from these field efforts were combined with a review of current literature relating to the Glacier Bay environment. Since the conceptual model developed by Hale and Wright (1979) ‘changes and cycles’ continue to be the underlying theme of the Glacier Bay ecosystem. We found marked seasonality in many of the parameters that we investigated over the two years of research, and here we provide a comprehensive description of the distribution and relative abundance of a wide array of marine biota. </p><p>Glacier Bay is a tidally mixed estuary that leads into basins, which stratify in summer, with the upper arms behaving as traditional estuaries. The Bay is characterized by renewal and mixing events throughout the year, and markedly higher primary production than in many neighboring southeast Alaska fjords (Hooge and Hooge, 2002). </p><p>Zooplankton diversity and abundance within the upper 50 meters of the water column in Glacier Bay is similar to communities seen throughout the Gulf of Alaska. Zooplankton in the lower regions of Glacier Bay peak in abundance in late May or early June, as observed at Auke Bay and in the Gulf of Alaska. The key distinction between the lower Bay and other estuaries in the Gulf of Alaska is that a second smaller peak in densities occurs in August. The upper Bay behaved uniformly in temporal trends, peaking in July. Densities had begun to decline in August, but were still more than twice those observed in that region in May. The highest density of zooplankton observed was 17,870 organisms/m3 in Tarr Inlet during July. Trends in zooplankton community abundance and diversity within the lower Bay were distinct from upper-Glacier Bay trends. Whereas the lower Bay is strongly influenced by Gulf of Alaska processes, local processes are the strongest influence in the upper-Bay.</p><p>We identified 55 species of fish during this study (1999 and 2000) from beach seines, mid-water trawls, and rod and line catches. The diversity of physical, oceanographic, and glacial chronological conditions within Glacier Bay contribute a suite of factors that influence the distribution and abundance of fish. Accordingly, we observed significant differences in the abundance and distribution of fish within the Bay. Most significantly, abundance and diversity (primarily juvenile fish including walleye Pollock, eelblennies, and capelin) were greatest at the head of both the east and west arms where zooplankton abundance was greatest – in close proximity to tidewater glaciers and freshwater runoff. </p><p>All of Glacier Bay and Icy Strait were surveyed hydroacoustically for plankton and fish during June 1999 surveys. Acoustically determined forage biomass was concentrated in relatively few important areas such as Pt. Adolphus, Berg Bay, on the Geikie-Scidmore shelf, around the Beardslee/Marble islands, and the upper arms of Glacier Bay. Forage biomass (primarily small schooling fish and euphausiids) was concentrated in shallow, nearshore waters; 50 % of acoustic biomass was found at depths &lt; 35m, 80 % of biomass at depths &lt; 80m. During our sampling, high density patches of prey were very rare, and less than 8 % of the area surveyed in Glacier Bay contained patch densities suitable (e.g., &gt; 0.01 fish/m<sup>3</sup>) for seabirds foraging on zooplankton and small schooling fish. Less than 1 % of the area contained patches suitable (e.g., &gt;0.1 fish/m<sup>3</sup>) for whales foraging on zooplankton and small schooling fish. High-density aggregations of 0.1-10 fish/m<sup>3</sup> were comprised mostly of schools containing capelin, pollock, herring or euphausiids (0.1-1 kg/m<sup>3</sup>).</p><p>During predator surveys (1999-2000), we observed 63 species of birds and 7 species of marine mammals. Seasonal distribution and abundance of these “apex” predators was highly variable by species. Glacier Bay supports high numbers of seabirds and marine mammals that consume zooplankton and small schooling fish. Nearshore areas had higher densities of both birds and marine mammals. Several areas, such as Pt. Adolphus, Berg Bay, on the Geikie-Scidmore shelf, the Beardslee/Marble islands, and the upper arms of Glacier Bay were focal points of small schooling fish and zooplankton consuming marine birds and mammals. Comparisons between surveys and a prior study (1991) suggested that the assemblage of birds and marine mammals in the Bay is undergoing change. Most notable was a clear decline in Brachyramphus spp. murrelets while other apex species are increasing or remaining stable.</p><p>It should be noted that many of the birds and mammals observed during this project, e.g. mergansers, do not forage on zooplankton and small schooling fish; rather they forage on benthic fish and sessile invertebrates. While distribution and sampling data for these marine predator species are valid, this study did not sample benthic fish and sessile invertebrates. Thus, recommendations made by this project should be interpreted as generally specific to the zooplankton/small schooling fish marine food web components of the Glacier Bay Ecosystem. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Anchorage, AK","usgsCitation":"Robards, M.D., Drew, G.S., Piatt, J.F., Anson, J.M., Abookire, A.A., Bodkin, J.L., Hooge, P.N., and Speckman, S., 2003, Ecology of selected marine communities in Glacier Bay: Zooplankton, forage fish, seabirds and marine mammals, xiii, 156 p.","productDescription":"xiii, 156 p.","numberOfPages":"169","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":341116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341115,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://alaska.usgs.gov/science/biology/seabirds_foragefish/products/reports/Glacier_Bay_Marine_Communities.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -135,\n              58\n            ],\n            [\n              -137.5,\n              58\n            ],\n            [\n              -137.5,\n              59.25\n            ],\n            [\n              -135,\n              59.25\n            ],\n            [\n              -135,\n              58\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59155bf1e4b01a342e69138e","contributors":{"authors":[{"text":"Robards, Martin D.","contributorId":40148,"corporation":false,"usgs":false,"family":"Robards","given":"Martin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":694835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drew, Gary S. 0000-0002-6789-0891 gdrew@usgs.gov","orcid":"https://orcid.org/0000-0002-6789-0891","contributorId":3311,"corporation":false,"usgs":true,"family":"Drew","given":"Gary","email":"gdrew@usgs.gov","middleInitial":"S.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":694836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":694837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anson, Jennifer Marie","contributorId":2712,"corporation":false,"usgs":false,"family":"Anson","given":"Jennifer","email":"","middleInitial":"Marie","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":694838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abookire, Alisa A.","contributorId":107224,"corporation":false,"usgs":true,"family":"Abookire","given":"Alisa","email":"","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":694850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":694851,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hooge, Philip N.","contributorId":52029,"corporation":false,"usgs":true,"family":"Hooge","given":"Philip","email":"","middleInitial":"N.","affiliations":[{"id":106,"text":"Alaska Biological Science Center","active":false,"usgs":true}],"preferred":false,"id":694852,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Speckman, Suzann G.","contributorId":88217,"corporation":false,"usgs":true,"family":"Speckman","given":"Suzann G.","affiliations":[],"preferred":false,"id":694853,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70025616,"text":"70025616 - 2003 - Three-dimensional imaging of buried objects in very lossy earth by inversion of VETEM data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:00","indexId":"70025616","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional imaging of buried objects in very lossy earth by inversion of VETEM data","docAbstract":"The very early time electromagnetic system (VETEM) is an efficient tool for the detection of buried objects in very lossy earth, which allows a deeper penetration depth compared to the ground-penetrating radar. In this paper, the inversion of VETEM data is investigated using three-dimensional (3-D) inverse scattering techniques, where multiple frequencies are applied in the frequency range from 0-5 MHz. For small and moderately sized problems, the Born approximation and/or the Born iterative method have been used with the aid of the singular value decomposition and/or the conjugate gradient method in solving the linearized integral equations. For large-scale problems, a localized 3-D inversion method based on the Born approximation has been proposed for the inversion of VETEM data over a large measurement domain. Ways to process and to calibrate the experimental VETEM data are discussed to capture the real physics of buried objects. Reconstruction examples using synthesized VETEM data and real-world VETEM data are given to test the validity and efficiency of the proposed approach.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1109/TGRS.2003.815974","issn":"01962892","usgsCitation":"Cui, T., Aydiner, A., Chew, W., Wright, D., and Smith, D., 2003, Three-dimensional imaging of buried objects in very lossy earth by inversion of VETEM data: IEEE Transactions on Geoscience and Remote Sensing, v. 41, no. 10 PART I, p. 2197-2210, https://doi.org/10.1109/TGRS.2003.815974.","startPage":"2197","endPage":"2210","numberOfPages":"14","costCenters":[],"links":[{"id":209529,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2003.815974"},{"id":236090,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"10 PART I","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb32ee4b08c986b325c29","contributors":{"authors":[{"text":"Cui, T.J.","contributorId":72552,"corporation":false,"usgs":true,"family":"Cui","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":405879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aydiner, A.A.","contributorId":76088,"corporation":false,"usgs":true,"family":"Aydiner","given":"A.A.","affiliations":[],"preferred":false,"id":405880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chew, W.C.","contributorId":19730,"corporation":false,"usgs":true,"family":"Chew","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":405877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, D.L.","contributorId":88758,"corporation":false,"usgs":true,"family":"Wright","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":405881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, D.V.","contributorId":31143,"corporation":false,"usgs":true,"family":"Smith","given":"D.V.","email":"","affiliations":[],"preferred":false,"id":405878,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70025579,"text":"70025579 - 2003 - Setting an effective TMDL: Sediment loading and effects of suspended sediment on fish","interactions":[],"lastModifiedDate":"2021-08-21T18:10:49.561709","indexId":"70025579","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","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":"Setting an effective TMDL: Sediment loading and effects of suspended sediment on fish","docAbstract":"<p><span>The Agricultural Drainage and Pesticide Transport model was used to examine the relationship between&nbsp;</span>fish<span>&nbsp;and&nbsp;</span>suspended<span>&nbsp;</span>sediment<span>&nbsp;in the context of a proposed total maximum daily load (</span>TMDL<span>) in two agricultural watersheds in Minnesota. During a 50-year simulation, Wells Creek, a third-order cold water stream, had an estimated 1,164 events (i.e., one or more consecutive days of estimated&nbsp;</span>sediment<span>&nbsp;</span>loading<span>) and the Chippewa River, a fourth-order warm water stream, had 906 events of measurable&nbsp;</span>suspended<span>&nbsp;</span>sediment<span>. Sublethal thresholds were exceeded for 970 events and lethal levels for 194 events for brown trout in Wells Creek, whereas adult nonsalmonidis would have experienced sublethal levels for 923 events and lethal levels for 241 events. Sublethal levels were exceeded for 756 events and lethal thresholds were exceeded for 150 events in the Chippewa River. Nonsalmonids would have experienced 15 events of mortality between 0 and 20 percent in Wells Creek. In the Chippewa River, there were 35 events of mortality between 0 and 20 percent and one event in which mortality could have exceeded 20 percent. The Minnesota Pollution Control Agency has proposed listing stream reaches as being impaired for turbidity at 25 NTU, which is approximately 46 mg&nbsp;</span>suspended<span>&nbsp;</span>sediment<span>/l. We estimated that 46 mg/l would be exceeded approximately 30 days in a year (d/yr) in both systems. A&nbsp;</span>TMDL<span>&nbsp;of 46 mg SS/l may be too high to ensure that stream fishes are not negatively affected by&nbsp;</span>suspended<span>&nbsp;</span>sediment<span>. We recommend that an indicator incorporating the duration of exposure be applied.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2003.tb03688.x","issn":"1093474X","usgsCitation":"Vondracek, B., Zimmerman, J.K., and Westra, J., 2003, Setting an effective TMDL: Sediment loading and effects of suspended sediment on fish: Journal of the American Water Resources Association, v. 39, no. 5, p. 1005-1015, https://doi.org/10.1111/j.1752-1688.2003.tb03688.x.","productDescription":"11 p.","startPage":"1005","endPage":"1015","costCenters":[],"links":[{"id":498945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2003.tb03688.x","text":"Publisher Index Page"},{"id":388288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"5","noUsgsAuthors":false,"publicationDate":"2007-06-08","publicationStatus":"PW","scienceBaseUri":"505b8d6fe4b08c986b3183db","contributors":{"authors":[{"text":"Vondracek, B.","contributorId":69930,"corporation":false,"usgs":true,"family":"Vondracek","given":"B.","affiliations":[],"preferred":false,"id":405737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, J. K. H.","contributorId":105898,"corporation":false,"usgs":false,"family":"Zimmerman","given":"J.","email":"","middleInitial":"K. H.","affiliations":[],"preferred":false,"id":405739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westra, J.V.","contributorId":86159,"corporation":false,"usgs":true,"family":"Westra","given":"J.V.","email":"","affiliations":[],"preferred":false,"id":405738,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70025577,"text":"70025577 - 2003 - Modeling precipitation and sorption of elements during mixing of river water and porewater in the Coeur d'Alene River basin","interactions":[],"lastModifiedDate":"2019-05-01T09:45:44","indexId":"70025577","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Modeling precipitation and sorption of elements during mixing of river water and porewater in the Coeur d'Alene River basin","docAbstract":"Reddish brown flocs form along the edge of the Coeur d'Alene River when porewater drains into river water during the annual lowering of water level in the basin. The precipitates are efficient scavengers of dissolved elements and have characteristics that may make metals associated with them bioavailable. This work characterizes the geochemistry of the porewater and models the formation and composition of the flocs. Porewater is slightly acidic, has suboxic to anoxic characteristics, tends to have higher alkalinity, and contains elevated concentrations of many constituents relative to river water. Laboratory mixing experiments involving porewater and river water were done to produce the precipitates. Thermodynamic predictions using PHREEQC indicate that predicted amounts of ferrihydrite and gibbsite agree with removal of Fe and Al. Predictions of element removal by adsorption onto ferrihydrite are consistent with observed removal using a combination of surface complexation constants for the generalized two-layer model (As and Se), alternative surface constants derived from experiments at high sorbate-to-sorbent ratios (Cd, Co, Cu, Ni, Pb, and Zn), and adjusted surface constants to fit experimental data (Cr, Mo, and Sb). This new set of surface complexation constants needs further testing in other contaminated systems.","language":"English","publisher":"ACS","doi":"10.1021/es0303283","issn":"0013936X","usgsCitation":"Balistrieri, L.S., Box, S.E., and Tonkin, J., 2003, Modeling precipitation and sorption of elements during mixing of river water and porewater in the Coeur d'Alene River basin: Environmental Science & Technology, v. 37, no. 20, p. 4694-4701, https://doi.org/10.1021/es0303283.","productDescription":"8 p.","startPage":"4694","endPage":"4701","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":236051,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209510,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es0303283"}],"country":"United States","state":"Idaho","otherGeospatial":"Coeur d’Alene Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117,\n              47.25\n            ],\n            [\n              -115.5,\n              47.25\n            ],\n            [\n              -115.5,\n              47.75\n            ],\n            [\n              -117,\n              47.75\n            ],\n            [\n              -117,\n              47.25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"20","noUsgsAuthors":false,"publicationDate":"2003-09-17","publicationStatus":"PW","scienceBaseUri":"505a5c1fe4b0c8380cd6fa50","contributors":{"authors":[{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":761874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Box, S. E.","contributorId":38567,"corporation":false,"usgs":true,"family":"Box","given":"S.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":405731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tonkin, J.W.","contributorId":52774,"corporation":false,"usgs":true,"family":"Tonkin","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":405732,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70025574,"text":"70025574 - 2003 - Climate change and Arctic ecosystems: 1. Vegetation changes north of 55°N between the last glacial maximum, mid-Holocene, and present","interactions":[],"lastModifiedDate":"2015-05-06T16:06:08","indexId":"70025574","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and Arctic ecosystems: 1. Vegetation changes north of 55°N between the last glacial maximum, mid-Holocene, and present","docAbstract":"A unified scheme to assign pollen samples to vegetation types was used to reconstruct vegetation patterns north of 55??N at the last glacial maximum (LGM) and mid-Holocene (6000 years B.P.). The pollen data set assembled for this purpose represents a comprehensive compilation based on the work of many projects and research groups. Five tundra types (cushion forb tundra, graminoid and forb tundra, prostrate dwarf-shrub tundra, erect dwarf-shrub tundra, and low- and high-shrub tundra) were distinguished and mapped on the basis of modern pollen surface samples. The tundra-forest boundary and the distributions of boreal and temperate forest types today were realistically reconstructed. During the mid-Holocene the tundra-forest boundary was north of its present position in some regions, but the pattern of this shift was strongly asymmetrical around the pole, with the largest northward shift in central Siberia (???200 km), little change in Beringia, and a southward shift in Keewatin and Labrador (???200 km). Low- and high-shrub tundra extended farther north than today. At the LGM, forests were absent from high latitudes. Graminoid and forb tundra abutted on temperate steppe in northwestern Eurasia while prostrate dwarf-shrub, erect dwarf-shrub, and graminoid and forb tundra formed a mosaic in Beringia. Graminoid and forb tundra is restricted today and does not form a large continuous biome, but the pollen data show that it was far more extensive at the LGM, while low- and high-shrub tundra were greatly reduced, illustrating the potential for climate change to dramatically alter the relative areas occupied by different vegetation types.","language":"English","publisher":"Wiley","doi":"10.1029/2002JD002558","issn":"01480227","usgsCitation":"Bigelow, N., Brubaker, L., Edwards, M.E., Harrison, S.P., Prentice, I.C., Anderson, P.M., Andreev, A., Bartlein, P., Christensen, T., Cramer, W., Kaplan, J., Lozhkin, A., Matveyeva, N., Murray, D., McGuire, A., Razzhivin, V., Ritchie, J., Smith, B., Walker, D., Gajewski, K., Wolf, V., Holmqvist, B., Igarashi, Y., Kremenetskii, K., Paus, A., Pisaric, M., and Volkova, V., 2003, Climate change and Arctic ecosystems: 1. Vegetation changes north of 55°N between the last glacial maximum, mid-Holocene, and present: Journal of Geophysical Research D: Atmospheres, v. 108, no. 19, https://doi.org/10.1029/2002JD002558.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":478530,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2002jd002558","text":"Publisher Index Page"},{"id":235978,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"19","noUsgsAuthors":false,"publicationDate":"2003-10-08","publicationStatus":"PW","scienceBaseUri":"5059f64ae4b0c8380cd4c67b","contributors":{"authors":[{"text":"Bigelow, N.H.","contributorId":85352,"corporation":false,"usgs":true,"family":"Bigelow","given":"N.H.","email":"","affiliations":[],"preferred":false,"id":405717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brubaker, L.B.","contributorId":29153,"corporation":false,"usgs":true,"family":"Brubaker","given":"L.B.","email":"","affiliations":[],"preferred":false,"id":405702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, M. E.","contributorId":29977,"corporation":false,"usgs":true,"family":"Edwards","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":405704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, S. P.","contributorId":78488,"corporation":false,"usgs":false,"family":"Harrison","given":"S.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":405714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prentice, I. C.","contributorId":63969,"corporation":false,"usgs":true,"family":"Prentice","given":"I.","middleInitial":"C.","affiliations":[],"preferred":false,"id":405710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, P. M.","contributorId":71722,"corporation":false,"usgs":true,"family":"Anderson","given":"P.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":405711,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Andreev, A.A.","contributorId":102229,"corporation":false,"usgs":true,"family":"Andreev","given":"A.A.","email":"","affiliations":[],"preferred":false,"id":405722,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bartlein, P. J.","contributorId":54566,"corporation":false,"usgs":false,"family":"Bartlein","given":"P. J.","affiliations":[],"preferred":false,"id":405707,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Christensen, T.R.","contributorId":81440,"corporation":false,"usgs":true,"family":"Christensen","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":405715,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cramer, W.","contributorId":102231,"corporation":false,"usgs":true,"family":"Cramer","given":"W.","email":"","affiliations":[],"preferred":false,"id":405723,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kaplan, J.O.","contributorId":97288,"corporation":false,"usgs":true,"family":"Kaplan","given":"J.O.","email":"","affiliations":[],"preferred":false,"id":405719,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lozhkin, A.V.","contributorId":62782,"corporation":false,"usgs":true,"family":"Lozhkin","given":"A.V.","email":"","affiliations":[],"preferred":false,"id":405709,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Matveyeva, N.V.","contributorId":108300,"corporation":false,"usgs":true,"family":"Matveyeva","given":"N.V.","email":"","affiliations":[],"preferred":false,"id":405724,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Murray, D.F.","contributorId":29184,"corporation":false,"usgs":true,"family":"Murray","given":"D.F.","email":"","affiliations":[],"preferred":false,"id":405703,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":405699,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Razzhivin, V.Y.","contributorId":73798,"corporation":false,"usgs":true,"family":"Razzhivin","given":"V.Y.","email":"","affiliations":[],"preferred":false,"id":405713,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ritchie, J.C.","contributorId":89299,"corporation":false,"usgs":true,"family":"Ritchie","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":405718,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Smith, B.","contributorId":53740,"corporation":false,"usgs":true,"family":"Smith","given":"B.","affiliations":[],"preferred":false,"id":405706,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Walker, D.A.","contributorId":82484,"corporation":false,"usgs":false,"family":"Walker","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":405716,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Gajewski, K.","contributorId":73389,"corporation":false,"usgs":true,"family":"Gajewski","given":"K.","email":"","affiliations":[],"preferred":false,"id":405712,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Wolf, V.","contributorId":20131,"corporation":false,"usgs":true,"family":"Wolf","given":"V.","email":"","affiliations":[],"preferred":false,"id":405700,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Holmqvist, B.H.","contributorId":34701,"corporation":false,"usgs":true,"family":"Holmqvist","given":"B.H.","email":"","affiliations":[],"preferred":false,"id":405705,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Igarashi, Y.","contributorId":21329,"corporation":false,"usgs":true,"family":"Igarashi","given":"Y.","email":"","affiliations":[],"preferred":false,"id":405701,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Kremenetskii, K.","contributorId":97689,"corporation":false,"usgs":true,"family":"Kremenetskii","given":"K.","email":"","affiliations":[],"preferred":false,"id":405720,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Paus, A.","contributorId":99357,"corporation":false,"usgs":true,"family":"Paus","given":"A.","email":"","affiliations":[],"preferred":false,"id":405721,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Pisaric, M.F.J.","contributorId":13794,"corporation":false,"usgs":true,"family":"Pisaric","given":"M.F.J.","email":"","affiliations":[],"preferred":false,"id":405698,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Volkova, V.S.","contributorId":60003,"corporation":false,"usgs":true,"family":"Volkova","given":"V.S.","email":"","affiliations":[],"preferred":false,"id":405708,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}}
,{"id":70026217,"text":"70026217 - 2003 - Living with a large reduction in permited loading by using a hydrograph-controlled release scheme","interactions":[],"lastModifiedDate":"2012-03-12T17:20:22","indexId":"70026217","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Living with a large reduction in permited loading by using a hydrograph-controlled release scheme","docAbstract":"The Total Maximum Daily Load (TMDL) for ammonia and biochemical oxygen demand for the Pee Dee, Waccamaw, and Atlantic Intracoastal Waterway system near Myrtle Beach, South Carolina, mandated a 60-percent reduction in point-source loading. For waters with a naturally low background dissolved-oxygen concentrations, South Carolina anti-degradation rules in the water-quality regulations allows a permitted discharger a reduction of dissolved oxygen of 0.1 milligrams per liter (mg/L). This is known as the \"0.1 rule.\" Permitted dischargers within this region of the State operate under the \"0.1 rule\" and cannot cause a cumulative impact greater than 0.1 mg/L on dissolved-oxygen concentrations. For municipal water-reclamation facilities to serve the rapidly growing resort and retirement community near Myrtle Beach, a variable loading scheme was developed to allow dischargers to utilize increased assimilative capacity during higher streamflow conditions while still meeting the requirements of a recently established TMDL. As part of the TMDL development, an extensive real-time data-collection network was established in the lower Waccamaw and Pee Dee River watershed where continuous measurements of streamflow, water level, dissolved oxygen, temperature, and specific conductance are collected. In addition, the dynamic BRANCH/BLTM models were calibrated and validated to simulate the water quality and tidal dynamics of the system. The assimilative capacities for various streamflows were also analyzed. The variable-loading scheme established total loadings for three streamflow levels. Model simulations show the results from the additional loading to be less than a 0.1 mg/L reduction in dissolved oxygen. As part of the loading scheme, the real-time network was redesigned to monitor streamflow entering the study area and water-quality conditions in the location of dissolved-oxygen \"sags.\" The study reveals how one group of permit holders used a variable-loading scheme to implement restrictive permit limits without experiencing prohibitive capital expenditures or initiating a lengthy appeals process.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1023/A:1021316705843","issn":"01676369","usgsCitation":"Conrads, P., Martello, W., and Sullins, N., 2003, Living with a large reduction in permited loading by using a hydrograph-controlled release scheme: Environmental Monitoring and Assessment, v. 81, no. 1-3, p. 97-106, https://doi.org/10.1023/A:1021316705843.","startPage":"97","endPage":"106","numberOfPages":"10","costCenters":[],"links":[{"id":208715,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1023/A:1021316705843"},{"id":234668,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"1-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a48c2e4b0c8380cd680ed","contributors":{"authors":[{"text":"Conrads, P.A.","contributorId":57493,"corporation":false,"usgs":true,"family":"Conrads","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":408600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martello, W.P.","contributorId":8654,"corporation":false,"usgs":true,"family":"Martello","given":"W.P.","email":"","affiliations":[],"preferred":false,"id":408598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullins, N.R.","contributorId":40393,"corporation":false,"usgs":true,"family":"Sullins","given":"N.R.","email":"","affiliations":[],"preferred":false,"id":408599,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70026021,"text":"70026021 - 2003 - Temporal species richness-biomass relationships along successional gradients","interactions":[],"lastModifiedDate":"2012-03-12T17:20:34","indexId":"70026021","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Temporal species richness-biomass relationships along successional gradients","docAbstract":"Diversity-biomass relationships are frequently reported to be hump-shaped over space at a given time. However, it is not yet clear how diversity and biomass change simultaneously and how they are related to each other overtime (e.g. in succession) at one locality. This study develops a temporal model based on the projected changes of various community variables in a generalized terrestrial environment after fire and uses post-fire succession data on Santa Monica Mountains of southern California and other published succession data to examine the temporal diversity-biomass relationships. The results indicate that in the early stages of succession, both diversity and biomass increase and a positive relationship appears, while in the late stages of succession, biomass continued to increase but diversity usually declines; thus a negative relationship may be observed. When the scales of measurement become sufficiently large so that the measured diversity and biomass cross various stages of succession, a 'hump-shaped' relationship can emerge. The diversity-biomass relationship appears to be concordant in space and time when appropriate scales are used. Formerly proposed explanations for spatial patterns may well apply to the temporal patterns (particularly colonization, facilitation and competitive exclusion).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Vegetation Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"11009233","usgsCitation":"Guo, Q., 2003, Temporal species richness-biomass relationships along successional gradients: Journal of Vegetation Science, v. 14, no. 1, p. 121-128.","startPage":"121","endPage":"128","numberOfPages":"8","costCenters":[],"links":[{"id":234916,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba51ae4b08c986b3207ee","contributors":{"authors":[{"text":"Guo, Q.","contributorId":67039,"corporation":false,"usgs":true,"family":"Guo","given":"Q.","email":"","affiliations":[],"preferred":false,"id":407544,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70026020,"text":"70026020 - 2003 - Gravity and magnetic expression of the San Leandro gabbro with implications for the geometry and evolution of the Hayward Fault zone, northern California","interactions":[],"lastModifiedDate":"2021-07-19T16:17:12.456782","indexId":"70026020","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","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":"Gravity and magnetic expression of the San Leandro gabbro with implications for the geometry and evolution of the Hayward Fault zone, northern California","docAbstract":"The Hayward Fault, one of the most hazardous faults in northern California, trends north-northwest and extends for about 90 km along the eastern San Francisco Bay region. At numerous locations along its length, distinct and elongate gravity and magnetic anomalies correlate with mapped mafic and ultramafic rocks. The most prominent of these anomalies reflects the 16-km-long San Leandro gabbroic block. Inversion of magnetic and gravity data constrained with physical property measurements is used to define the subsurface extent of the San Leandro gabbro body and to speculate on its origin and relationship to the Hayward Fault Zone. Modeling indicates that the San Leandro gabbro body is about 3 km wide, dips about 75??-80?? northeast, and extends to a depth of at least 6 km. One of the most striking results of the modeling, which was performed independently of seismicity data, is that accurately relocated seismicity is concentrated along the western edge or stratigraphically lower bounding surface of the San Leandro gabbro. The western boundary of the San Leandro gabbro block is the base of an incomplete ophiolite sequence and represented at one time, a low-angle roof thrust related to the tectonic wedging of the Franciscan Complex. After repeated episodes of extension and attenuation, the roof thrust of this tectonic wedge was rotated to near vertical, and in places, the strike-slip Hayward Fault probably reactivated or preferentially followed this pre-existing feature. Because earthquakes concentrate near the edge of the San Leandro gabbro but tend to avoid its interior, we qualitatively explore mechanical models to explain how this massive igneous block may influence the distribution of stress. The microseismicity cluster along the western flank of the San Leandro gabbro leads us to suggest that this stressed volume may be the site of future moderate to large earthquakes. Improved understanding of the three-dimensional geometry and physical properties along the Hayward Fault will provide additional constraints on seismic hazard probability, earthquake modeling, and fault interactions that are applicable to other major strike-slip faults around the world.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120020013","issn":"00371106","usgsCitation":"Ponce, D., Hildenbrand, T., and Jachens, R., 2003, Gravity and magnetic expression of the San Leandro gabbro with implications for the geometry and evolution of the Hayward Fault zone, northern California: Bulletin of the Seismological Society of America, v. 93, no. 1, p. 14-26, https://doi.org/10.1785/0120020013.","productDescription":"13 p.","startPage":"14","endPage":"26","costCenters":[],"links":[{"id":387243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"Hayward Fault zone, northern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.200927734375,\n              39.095962936305476\n            ],\n            [\n              -122.7447509765625,\n              39.2492708462234\n            ],\n            [\n              -123.02490234375,\n              39.104488809440475\n            ],\n            [\n              -122.3822021484375,\n              38.14751758025121\n            ],\n            [\n              -122.1844482421875,\n              37.714244967649265\n            ],\n            [\n              -121.497802734375,\n              36.954281585675965\n            ],\n            [\n              -121.10229492187501,\n              36.677230602346214\n            ],\n            [\n              -121.51977539062499,\n              37.99183365313853\n            ],\n            [\n              -122.200927734375,\n              39.095962936305476\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"93","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2a05e4b0c8380cd5ae21","contributors":{"authors":[{"text":"Ponce, D. A. 0000-0003-4785-7354","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":104019,"corporation":false,"usgs":true,"family":"Ponce","given":"D. A.","affiliations":[],"preferred":false,"id":407543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hildenbrand, T.G.","contributorId":83892,"corporation":false,"usgs":true,"family":"Hildenbrand","given":"T.G.","email":"","affiliations":[],"preferred":false,"id":407542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jachens, R.C.","contributorId":55433,"corporation":false,"usgs":true,"family":"Jachens","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":407541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70026018,"text":"70026018 - 2003 - Modeling soil thermal and carbon dynamics of a fire chronosequence in interior Alaska","interactions":[],"lastModifiedDate":"2021-08-19T14:05:09.6048","indexId":"70026018","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Modeling soil thermal and carbon dynamics of a fire chronosequence in interior Alaska","docAbstract":"<p><span>In this study, the dynamics of soil thermal, hydrologic, and ecosystem processes were coupled to project how the carbon budgets of boreal forests will respond to changes in atmospheric CO</span><sub>2</sub><span>, climate, and fire disturbance. The ability of the model to simulate gross primary production and ecosystem respiration was verified for a mature black spruce ecosystem in Canada, the age-dependent pattern of the simulated vegetation carbon was verified with inventory data on aboveground growth of Alaskan black spruce forests, and the model was applied to a postfire chronosequence in interior Alaska. The comparison between the simulated soil temperature and field-based estimates during the growing season (May to September) of 1997 revealed that the model was able to accurately simulate monthly temperatures at 10 cm (</span><i>R</i><span>&nbsp;&gt; 0.93) for control and burned stands of the fire chronosequence. Similarly, the simulated and field-based estimates of soil respiration for control and burned stands were correlated (</span><i>R</i><span>&nbsp;= 0.84 and 0.74 for control and burned stands, respectively). The simulated and observed decadal to century-scale dynamics of soil temperature and carbon dynamics, which are represented by mean monthly values of these variables during the growing season, were correlated among stands (</span><i>R</i><span>&nbsp;= 0.93 and 0.71 for soil temperature at 20- and 10-cm depths,&nbsp;</span><i>R</i><span>&nbsp;= 0.95 and 0.91 for soil respiration and soil carbon, respectively). Sensitivity analyses indicate that along with differences in fire and climate history a number of other factors influence the response of carbon dynamics to fire disturbance. These factors include nitrogen fixation, the growth of moss, changes in the depth of the organic layer, soil drainage, and fire severity.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2001jd001244","issn":"01480227","usgsCitation":"Zhuang, Q., McGuire, A., O’Neill, K.P., Harden, J., Romanovsky, V., and Yarie, J., 2003, Modeling soil thermal and carbon dynamics of a fire chronosequence in interior Alaska: Journal of Geophysical Research D: Atmospheres, v. 108, no. 1, p. FFR 3-1-FFR 3-26, https://doi.org/10.1029/2001jd001244.","productDescription":"26 p.","startPage":"FFR 3-1","endPage":"FFR 3-26","costCenters":[],"links":[{"id":489827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2001jd001244","text":"Publisher Index Page"},{"id":388134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanana River Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -142.75634765625,\n              63.25093928818513\n            ],\n            [\n              -142.62451171875,\n              63.50447451397417\n            ],\n            [\n              -144.9810791015625,\n              64.18724867664994\n            ],\n            [\n              -145.579833984375,\n              64.21832589114345\n            ],\n            [\n              -145.78857421875,\n              63.91564308935915\n            ],\n            [\n              -143.17932128906247,\n              63.21878040291831\n            ],\n            [\n              -142.921142578125,\n              63.15435519659187\n            ],\n            [\n              -142.75634765625,\n              63.25093928818513\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"108","issue":"1","noUsgsAuthors":false,"publicationDate":"2002-12-14","publicationStatus":"PW","scienceBaseUri":"505a5c2be4b0c8380cd6fabb","contributors":{"authors":[{"text":"Zhuang, Q.","contributorId":40772,"corporation":false,"usgs":true,"family":"Zhuang","given":"Q.","email":"","affiliations":[],"preferred":false,"id":407532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":407530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neill, K. P.","contributorId":104935,"corporation":false,"usgs":true,"family":"O’Neill","given":"K.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":407535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harden, J.W. 0000-0002-6570-8259","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":38585,"corporation":false,"usgs":true,"family":"Harden","given":"J.W.","affiliations":[],"preferred":false,"id":407531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romanovsky, V.E.","contributorId":54721,"corporation":false,"usgs":true,"family":"Romanovsky","given":"V.E.","email":"","affiliations":[],"preferred":false,"id":407533,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yarie, J.","contributorId":92847,"corporation":false,"usgs":true,"family":"Yarie","given":"J.","affiliations":[],"preferred":false,"id":407534,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70026004,"text":"70026004 - 2003 - Modelling hydrologic responses in a small forested catchment (Panola Mountain, Georgia, USA): A comparison of the original and a new dynamic TOPMODEL","interactions":[],"lastModifiedDate":"2012-03-12T17:20:24","indexId":"70026004","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Modelling hydrologic responses in a small forested catchment (Panola Mountain, Georgia, USA): A comparison of the original and a new dynamic TOPMODEL","docAbstract":"Preliminary modelling results for a new version of the rainfall-runoff model TOPMODEL, dynamic TOPMODEL, are compared with those of the original TOPMODEL formulation for predicting streamflow at the Panola Mountain Research Watershed, Georgia. Dynamic TOPMODEL uses a kinematic wave routing of subsurface flow, which allows for dynamically variable upslope contributing areas, while retaining the concept of hydrological similarity to increase computational efficiency. Model performance in predicting discharge was assessed for the original TOPMODEL and for one landscape unit (LU) and three LU versions of the dynamic TOPMODEL (a bare rock area, hillslope with regolith <1 m, and a riparian zone with regolith ???5 m). All simulations used a 30 min time step for each of three water years. Each 1-LU model underpredicted the peak streamflow, and generally overpredicted recession streamflow during wet periods and underpredicted during dry periods. The difference between predicted recession streamflow generally was less for the dynamic TOPMODEL and smallest for the 3-LU model. Bayesian combination of results for different water years within the GLUE methodology left no behavioural original or 1-LU dynamic models and only 168 (of 96 000 sample parameter sets) for the 3-LU model. The efficiency for the streamflow prediction of the best 3-LU model was 0.83 for an individual year, but the results suggest that further improvements could be made. ?? 2003 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/hyp.1128","issn":"08856087","usgsCitation":"Peters, N., Freer, J., and Beven, K., 2003, Modelling hydrologic responses in a small forested catchment (Panola Mountain, Georgia, USA): A comparison of the original and a new dynamic TOPMODEL: Hydrological Processes, v. 17, no. 2, p. 345-362, https://doi.org/10.1002/hyp.1128.","startPage":"345","endPage":"362","numberOfPages":"18","costCenters":[],"links":[{"id":208694,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.1128"},{"id":234616,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2003-01-23","publicationStatus":"PW","scienceBaseUri":"505a5c6be4b0c8380cd6fca2","contributors":{"authors":[{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":407464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freer, J.","contributorId":61975,"corporation":false,"usgs":true,"family":"Freer","given":"J.","email":"","affiliations":[],"preferred":false,"id":407465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beven, K.","contributorId":25320,"corporation":false,"usgs":true,"family":"Beven","given":"K.","email":"","affiliations":[],"preferred":false,"id":407463,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70024924,"text":"70024924 - 2003 - A 16,000 14C yr B.P. packrat midden series from the USA-Mexico Borderlands","interactions":[],"lastModifiedDate":"2012-03-12T17:20:05","indexId":"70024924","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"A 16,000 14C yr B.P. packrat midden series from the USA-Mexico Borderlands","docAbstract":"A new packrat midden chronology from Playas Valley, southwestern New Mexico, is the first installment of an ongoing effort to reconstruct paleovegetation and paleoclimate in the U.S.A.-Mexico Borderlands. Playas Valley and neighboring basins supported pluvial lakes during full and/or late glacial times. Plant macrofossil and pollen assemblages from nine middens in the Playas Valley allow comparisons of two time intervals: 16,000-10,000 and 4000-0 14C yr B.P. Vegetation along pluvial lake margins consisted of open pinyon-juniper communities dominated by Pinus edulis, Juniperus scopulorum, Juniperus cf. coahuilensis, and a rich understory of C4 annuals and grasses. This summer-flowering understory is also characteristic of modern desert grassland in the Borderlands and indicates at least moderate summer precipitation. P. edulis and J. scopulorum disappeared or were rare in the midden record by 10,670 14C yr B.P. The late Holocene is marked by the arrival of Chihuahuan desert scrub elements and few departures as the vegetation gradually became modern in character. Larrea tridentata appears as late as 2190 14C yr B.P. based on macrofossils, but may have been present as early as 4095 14C yr B.P. based on pollen. Fouquieria splendens, one of the dominant desert species present at the site today, makes its first appearance only in the last millennium. The midden pollen assemblages are difficult to interpret; they lack modern analogs in surface pollen assemblages from stock tanks at different elevations in the Borderlands. ?? 2003 University of Washington. Published by Elsevier Inc. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.yqres.2003.08.001","issn":"00335894","usgsCitation":"Holmgren, C., Penalba, M., Rylander, K., and Betancourt, J., 2003, A 16,000 14C yr B.P. packrat midden series from the USA-Mexico Borderlands: Quaternary Research, v. 60, no. 3, p. 319-329, https://doi.org/10.1016/j.yqres.2003.08.001.","startPage":"319","endPage":"329","numberOfPages":"11","costCenters":[],"links":[{"id":207790,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2003.08.001"},{"id":233004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"5059e2c0e4b0c8380cd45c07","contributors":{"authors":[{"text":"Holmgren, C.A.","contributorId":19692,"corporation":false,"usgs":true,"family":"Holmgren","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":403137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Penalba, M.C.","contributorId":80462,"corporation":false,"usgs":true,"family":"Penalba","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":403139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rylander, K.A.","contributorId":58414,"corporation":false,"usgs":true,"family":"Rylander","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":403138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betancourt, J.L. 0000-0002-7165-0743","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":87505,"corporation":false,"usgs":true,"family":"Betancourt","given":"J.L.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":403140,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70025341,"text":"70025341 - 2003 - Future coral reef habitat marginality: Temporal and spatial effects of climate change in the Pacific basin","interactions":[],"lastModifiedDate":"2012-03-12T17:20:29","indexId":"70025341","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Future coral reef habitat marginality: Temporal and spatial effects of climate change in the Pacific basin","docAbstract":"Marginal reef habitats are regarded as regions where coral reefs and coral communities reflect the effects of steady-state or long-term average environmental limitations. We used classifications based on this concept with predicted time-variant conditions of future climate to develop a scenario for the evolution of future marginality. Model results based on a conservative scenario of atmospheric CO2 increase were used to examine changes in sea surface temperature and aragonite saturation state over the Pacific Ocean basin until 2069. Results of the projections indicated that essentially all reef locations are likely to become marginal with respect to aragonite saturation state. Significant areas, including some with the highest biodiversity, are expected to experience high-temperature regimes that may be marginal, and additional areas will enter the borderline high temperature range that have experienced significant ENSO-related bleaching in the recent past. The positive effects of warming in areas that are presently marginal in terms of low temperature were limited. Conditions of the late 21st century do not lie outside the ranges in which present-day marginal reef systems occur. Adaptive and acclimative capabilities of organisms and communities will be critical in determining the future of coral reef ecosystems.","largerWorkTitle":"Coral Reefs","language":"English","doi":"10.1007/s00338-003-0331-4","issn":"07224028","usgsCitation":"Guinotte, J., Buddemeier, R., and Kleypas, J., 2003, Future coral reef habitat marginality: Temporal and spatial effects of climate change in the Pacific basin, <i>in</i> Coral Reefs, v. 22, no. 4, p. 551-558, https://doi.org/10.1007/s00338-003-0331-4.","startPage":"551","endPage":"558","numberOfPages":"8","costCenters":[],"links":[{"id":209407,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00338-003-0331-4"},{"id":235816,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a142fe4b0c8380cd54944","contributors":{"authors":[{"text":"Guinotte, J.M.","contributorId":75317,"corporation":false,"usgs":true,"family":"Guinotte","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":404822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buddemeier, R. W.","contributorId":86492,"corporation":false,"usgs":true,"family":"Buddemeier","given":"R. W.","affiliations":[],"preferred":false,"id":404823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kleypas, J.A.","contributorId":13221,"corporation":false,"usgs":true,"family":"Kleypas","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":404821,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70025455,"text":"70025455 - 2003 - Sediment transport and deposition processes near ocean outfalls in southern California","interactions":[],"lastModifiedDate":"2024-09-25T15:38:36.694309","indexId":"70025455","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5339,"text":"ASTM Selected Technical Papers","active":true,"publicationSubtype":{"id":19}},"title":"Sediment transport and deposition processes near ocean outfalls in southern California","docAbstract":"An urbanized coastal ocean that has complex topography and large-scale atmospheric and oceanographic forcing can contain a variety of sediment and pollutant distribution patterns. For example, the central southern California Bight has two large embayments, Santa Monica and San Pedro Bays, that are connected by a short, very narrow shelf off the Palos Verdes peninsula. The complex topography causes quite different oceanographic and sediment distribution patterns in this fairly small region of the coastal ocean. In addition, three sewage outfalls discharge material over the outer shelf. A large suite of sediment cores was obtained and analyzed for contaminants, physical properties, accumulation rates, and grain sizes. Arrays of instrumented moorings that monitor currents, waves, water clarity, water density and collect resuspended materials were deployed. The data and models developed for the Palos Verdes margin suggest that a large reservoir of DDT and its byproducts exists in the coastal ocean sediment and will continue to be exhumed and transported along the shelf for a long time. On the Santa Monica shelf, very large internal waves, or bores, are generated at the shelf break. The near-bottom currents associated with these waves sweep sediment and the associated contaminants from the shelf onto the continental slope. On the San Pedro margin an initial examination of recent data collected in the coastal ocean does not suggest that bacterial contamination on local beaches is primarily caused by transport of material from the adjacent ocean outfall.","largerWorkTitle":"ASTM Special Technical Publication","conferenceTitle":"Contaminated Sediments: Characterization, Evaluation, Mitigation, Restoration, and Management Strategy Performance","conferenceDate":"May 26-28, 2003","conferenceLocation":"Quebec City, Quebec, Canada","language":"English","doi":"10.1520/STP11567S","usgsCitation":"Lee, H., Noble, M., and Xu, J., 2003, Sediment transport and deposition processes near ocean outfalls in southern California, <i>in</i> ASTM Special Technical Publication, no. 1442, Quebec City, Quebec, Canada, May 26-28, 2003, p. 253-265, https://doi.org/10.1520/STP11567S.","productDescription":"13 p.","startPage":"253","endPage":"265","costCenters":[],"links":[{"id":235787,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.43193147911012,\n              35.890962293701875\n            ],\n            [\n              -121.43193147911012,\n              32.55531839561759\n            ],\n            [\n              -114.45518014312299,\n              32.55531839561759\n            ],\n            [\n              -114.45518014312299,\n              35.890962293701875\n            ],\n            [\n              -121.43193147911012,\n              35.890962293701875\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","issue":"1442","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b89c7e4b08c986b316e9e","contributors":{"editors":[{"text":"Locat J.Galvez-Cloutier R.Chaney R.Demars K.","contributorId":128382,"corporation":true,"usgs":false,"organization":"Locat J.Galvez-Cloutier R.Chaney R.Demars K.","id":536567,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lee, H.J.","contributorId":96693,"corporation":false,"usgs":true,"family":"Lee","given":"H.J.","email":"","affiliations":[],"preferred":false,"id":405259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, M.A.","contributorId":93513,"corporation":false,"usgs":true,"family":"Noble","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":405258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, J.","contributorId":25324,"corporation":false,"usgs":true,"family":"Xu","given":"J.","affiliations":[],"preferred":false,"id":405257,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":1002728,"text":"1002728 - 2003 - Mass tree mortality leads to mangrove peat collapse at Bay Islands, Honduras after Hurricane Mitch","interactions":[],"lastModifiedDate":"2012-02-02T00:04:49","indexId":"1002728","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Mass tree mortality leads to mangrove peat collapse at Bay Islands, Honduras after Hurricane Mitch","docAbstract":"We measured sediment elevation and accretion dynamics in mangrove forests on the islands of Guanaja and Roatan, Honduras, impacted by Hurricane Mitch in 1998 to determine if collapse of underlying peat was occurring as a result of mass tree mortality. Little is known about the balance between production and decomposition of soil organic matter in the maintenance of sediment elevation of mangrove forests with biogenic soils.\r\nSediment elevation change measured with the rod surface elevation table from 18 months to 33 months after the storm differed significantly among low, medium and high wind impact sites. Mangrove forests suffering minimal to partial mortality gained elevation at a rate (5 mm yeara??1) greater than vertical accretion (2 mm yeara??1) measured from artificial soil marker horizons, suggesting that root production contributed to sediment elevation. Basin forests that suffered mass tree mortality experienced peat collapse of about 11 mm yeara??1 as a result of decomposition of dead root material and sediment compaction. Low soil shear strength and lack of root growth accompanied elevation decreases.\r\nModel simulations using the Relative Elevation Model indicate that peat collapse in the high impact basin mangrove forest would be 37 mm yeara??1 for the 2 years immediately after the storm, as root material decomposed. In the absence of renewed root growth, the model predicts that peat collapse will continue for at least 8 more years at a rate (7 mm yeara??1) similar to that measured (11 mm yeara??1).\r\nMass tree mortality caused rapid elevation loss. Few trees survived and recovery of the high impact forest will thus depend primarily on seedling recruitment. Because seedling establishment is controlled in large part by sediment elevation in relation to tide height, continued peat collapse could further impair recovery rates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1046/j.1365-2745.2003.00841.x","usgsCitation":"Cahoon, D.R., Hensel, P., Rybczyk, J., McKee, K., Proffitt, C., and Perez, B., 2003, Mass tree mortality leads to mangrove peat collapse at Bay Islands, Honduras after Hurricane Mitch: Journal of Ecology, v. 91, no. 6, p. 1093-1105, https://doi.org/10.1046/j.1365-2745.2003.00841.x.","productDescription":"p. 1093-1105","startPage":"1093","endPage":"1105","numberOfPages":"13","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":478438,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1046/j.1365-2745.2003.00841.x","text":"Publisher Index Page"},{"id":134429,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":15633,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1046/j.1365-2745.2003.00841.x","linkFileType":{"id":5,"text":"html"},"description":"7004.000000000000000"}],"volume":"91","issue":"6","noUsgsAuthors":false,"publicationDate":"2003-11-21","publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60fde0","contributors":{"authors":[{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":65424,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":312180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hensel, P.","contributorId":57814,"corporation":false,"usgs":true,"family":"Hensel","given":"P.","email":"","affiliations":[],"preferred":false,"id":312179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rybczyk, J.","contributorId":56617,"corporation":false,"usgs":true,"family":"Rybczyk","given":"J.","email":"","affiliations":[],"preferred":false,"id":312178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKee, K.L. 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":77113,"corporation":false,"usgs":true,"family":"McKee","given":"K.L.","affiliations":[],"preferred":false,"id":312181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Proffitt, C.E. 0000-0002-0845-8441","orcid":"https://orcid.org/0000-0002-0845-8441","contributorId":47339,"corporation":false,"usgs":true,"family":"Proffitt","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":312177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perez, B.C.","contributorId":104017,"corporation":false,"usgs":true,"family":"Perez","given":"B.C.","email":"","affiliations":[],"preferred":false,"id":312182,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}