Tropical forest destruction and fragmentation of habitat patches may reduce population persistence at the landscape level. Given the complex nature of simultaneously evaluating the effects of these factors on biotic populations, statistical presence/absence modelling has become an important tool in conservation biology. This study uses logistic regression to evaluate the independent effects of tropical forest cover and fragmentation on bird occurrence in eastern Guatemala. Logistic regression models were constructed for 10 species with varying response to habitat alteration. Predictive variables quantified forest cover, fragmentation and their interaction at three different radii (200, 500 and 1000 m scales) of 112 points where presence of target species was determined. Most species elicited a response to the 1000 m scale, which was greater than most species’ reported territory size. Thus, their presence at the landscape scale is probably regulated by extra-territorial phenomena, such as dispersal. Although proportion of forest cover was the most important predictor of species’ presence, there was strong evidence of area-independent and -dependent fragmentation effects on species presence, results that contrast with other studies from northernmost latitudes. Species’ habitat breadth was positively correlated with AIC model values, indicating a better fit for species more restricted to tropical forest. Species with a narrower habitat breadth also elicited stronger negative responses to forest loss. Habitat breadth is thus a simple measure that can be directly related to species’ vulnerability to landscape modification. Model predictive accuracy was acceptable for 4 of 10 species, which were in turn those with narrower habitat breadths.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2009.10.038","usgsCitation":"Cerezo, A., Perelman, S., and Robbins, C.S., 2010, Landscape-level impact of tropical forest loss and fragmentation on bird occurrence in eastern Guatemala: Ecological Modelling, v. 221, no. 3, p. 512-526, https://doi.org/10.1016/j.ecolmodel.2009.10.038.","productDescription":"15 p.","startPage":"512","endPage":"526","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":394110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guatemala","otherGeospatial":"Cerro San Gil Watershed Protection Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.02084350585938,\n 15.542345184874382\n ],\n [\n -88.60954284667967,\n 15.542345184874382\n ],\n [\n -88.60954284667967,\n 15.786967677939279\n ],\n [\n -89.02084350585938,\n 15.786967677939279\n ],\n [\n -89.02084350585938,\n 15.542345184874382\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"221","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cerezo, A.","contributorId":8201,"corporation":false,"usgs":true,"family":"Cerezo","given":"A.","email":"","affiliations":[],"preferred":false,"id":830517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perelman, Susana","contributorId":271044,"corporation":false,"usgs":false,"family":"Perelman","given":"Susana","email":"","affiliations":[],"preferred":false,"id":830518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Chandler S. crobbins@usgs.gov","contributorId":4275,"corporation":false,"usgs":true,"family":"Robbins","given":"Chandler","email":"crobbins@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":830519,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272978,"text":"70272978 - 2010 - Tamarisk biocontrol in the western United States: Ecological and societal implications","interactions":[],"lastModifiedDate":"2025-12-11T16:40:15.857219","indexId":"70272978","displayToPublicDate":"2009-11-04T10:31:08","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Tamarisk biocontrol in the western United States: Ecological and societal implications","docAbstract":"Tamarisk species (genus Tamarix), also commonly known as saltcedar, are among the most successful plant invaders in the western United States. At the same time, tamarisk has been cited as having enormous economic costs. Accordingly, local, state, and federal agencies have undertaken considerable efforts to eradicate this invasive plant and restore riparian habitats to pre-invasion status. Traditional eradication methods, including herbicide treatments, are now considered undesirable, because they are costly and often have unintended negative impacts on native species. A new biological control agent, the saltcedar leaf beetle (Diorhabda elongata), has been released along many watersheds in the western US, to reduce the extent of tamarisk cover in riparian areas. However, the use of this insect as a biological control agent may have unintended ecological, hydrological, and socioeconomic consequences that need to be anticipated by land managers and stakeholders undertaking restoration efforts. Here, we examine the possible ramifications of tamarisk control and offer recommendations to reduce potential negative impacts on valued riparian systems in the western US.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/090031","usgsCitation":"Hultine, K., Belnap, J., van Riper, C., Ehleringer, J.R., Dennison, P.E., Lee, M.E., Nagler, P., Snyder, K.A., Uselman, S.M., and West, J.B., 2010, Tamarisk biocontrol in the western United States: Ecological and societal implications: Frontiers in Ecology and the Environment, v. 8, no. 9, p. 467-474, https://doi.org/10.1890/090031.","productDescription":"8 p.","startPage":"467","endPage":"474","ipdsId":"IP-011143","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"8","issue":"9","noUsgsAuthors":false,"publicationDate":"2009-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Hultine, Kevin","contributorId":363779,"corporation":false,"usgs":false,"family":"Hultine","given":"Kevin","affiliations":[{"id":86735,"text":"Department of Biology, U of Utah","active":true,"usgs":false}],"preferred":false,"id":951968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne","contributorId":363776,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","affiliations":[],"preferred":true,"id":951965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":951967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ehleringer, James R","contributorId":363780,"corporation":false,"usgs":false,"family":"Ehleringer","given":"James","middleInitial":"R","affiliations":[{"id":86735,"text":"Department of Biology, U of Utah","active":true,"usgs":false}],"preferred":false,"id":951969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dennison, Philip E.","contributorId":363781,"corporation":false,"usgs":false,"family":"Dennison","given":"Philip","middleInitial":"E.","affiliations":[{"id":86736,"text":"Dept.of Geolgraphy, U of Utah","active":true,"usgs":false}],"preferred":false,"id":951970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Martha E.","contributorId":363782,"corporation":false,"usgs":false,"family":"Lee","given":"Martha","middleInitial":"E.","affiliations":[{"id":86737,"text":"School of Forestry, NAU","active":true,"usgs":false}],"preferred":false,"id":951971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagler, Pamela L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":363777,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","middleInitial":"L.","affiliations":[],"preferred":true,"id":951966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Snyder, Keirith A.","contributorId":363783,"corporation":false,"usgs":false,"family":"Snyder","given":"Keirith","middleInitial":"A.","affiliations":[{"id":86738,"text":"USDA, Ag Research","active":true,"usgs":false}],"preferred":false,"id":951972,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Uselman, Shauna M.","contributorId":261618,"corporation":false,"usgs":false,"family":"Uselman","given":"Shauna","email":"","middleInitial":"M.","affiliations":[{"id":52928,"text":"Department of Natural Resources and Environmental Science, University of Nevada, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":951985,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"West, Jason B.","contributorId":221019,"corporation":false,"usgs":false,"family":"West","given":"Jason","email":"","middleInitial":"B.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":951986,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70227365,"text":"70227365 - 2010 - Mercury flux to sediments of Lake Tahoe, California–Nevada","interactions":[],"lastModifiedDate":"2022-01-11T14:40:59.618352","indexId":"70227365","displayToPublicDate":"2009-11-04T08:31:35","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Mercury flux to sediments of Lake Tahoe, California–Nevada","docAbstract":"We report estimates of mercury (Hg) flux to the sediments of Lake Tahoe, California–Nevada: 2 and 15–20 µg/m2/year in preindustrial and modern sediments, respectively. These values result in a modern to preindustrial flux ratio of 7.5–10, which is similar to flux ratios recently reported for other alpine lakes in California, and greater than the value of 3 typically seen worldwide. We offer plausible hypotheses to explain the high flux ratios, including (1) proportionally less photoreduction and evasion of Hg with the onset of cultural eutrophication and (2) a combination of enhanced regional oxidation of gaseous elemental Hg and transport of the resulting reactive gaseous Hg to the surface with nightly downslope flows of air. If either of these mechanisms is correct, it could lead to local/regional solutions to lessen the impact of globally increasing anthropogenic emissions of Hg on Lake Tahoe and other alpine ecosystems.
","language":"English","publisher":"Springer","doi":"10.1007/s11270-009-0262-y","usgsCitation":"Drevnick, P.E., Shinneman, A.L., Lamborg, C.H., Engstrom, D., Bothner, M., and Oris, J.T., 2010, Mercury flux to sediments of Lake Tahoe, California–Nevada: Water, Air, & Soil Pollution, v. 210, p. 399-407, https://doi.org/10.1007/s11270-009-0262-y.","productDescription":"9 p.","startPage":"399","endPage":"407","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475952,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/3923","text":"External Repository"},{"id":394181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.18630981445312,\n 38.89744587262311\n ],\n [\n -119.91302490234374,\n 38.89744587262311\n ],\n [\n -119.91302490234374,\n 39.28860847419942\n ],\n [\n -120.18630981445312,\n 39.28860847419942\n ],\n [\n -120.18630981445312,\n 38.89744587262311\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"210","noUsgsAuthors":false,"publicationDate":"2009-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Drevnick, Paul E.","contributorId":218351,"corporation":false,"usgs":false,"family":"Drevnick","given":"Paul","email":"","middleInitial":"E.","affiliations":[{"id":39814,"text":"Alberta Environment and Parks, Environmental Monitoring and Science Division","active":true,"usgs":false}],"preferred":false,"id":830602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shinneman, Avery L. C.","contributorId":271054,"corporation":false,"usgs":false,"family":"Shinneman","given":"Avery","email":"","middleInitial":"L. C.","affiliations":[],"preferred":false,"id":830603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamborg, Carl H.","contributorId":100307,"corporation":false,"usgs":true,"family":"Lamborg","given":"Carl","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":830604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engstrom, Daniel R","contributorId":220562,"corporation":false,"usgs":false,"family":"Engstrom","given":"Daniel R","affiliations":[{"id":15307,"text":"St. Croix Watershed Research Station, Science Museum of Minnesota","active":true,"usgs":false}],"preferred":false,"id":830605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":830606,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oris, James T.","contributorId":179017,"corporation":false,"usgs":false,"family":"Oris","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":830607,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230291,"text":"70230291 - 2010 - Effects of temperature on silicate weathering: Solute fluxes and chemical weathering in a temperate rain forest watershed, Jamieson Creek, British Columbia","interactions":[],"lastModifiedDate":"2022-04-06T15:16:31.137286","indexId":"70230291","displayToPublicDate":"2009-09-22T10:09:41","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of temperature on silicate weathering: Solute fluxes and chemical weathering in a temperate rain forest watershed, Jamieson Creek, British Columbia","docAbstract":"Chemical weathering of silicate minerals has long been known as a sink for atmospheric CO2, and feedbacks between weathering and climate are believed to affect global climate. While warmer temperatures are believed to increase rates of weathering, weathering in cool climates can be accelerated by increased mineral exposure due to mechanical weathering by ice. In this study, chemical weathering of silicate minerals is investigated in a small temperate watershed. The Jamieson Creek watershed is covered by mature coniferous forest and receives high annual precipitation (4000 mm), mostly in the form of rainfall, and is underlain by quartz diorite bedrock and glacial till. Analysis of pore water concentration gradients indicates that weathering in hydraulically unsaturated ablation till is dominated by dissolution of plagioclase and hornblende. However, a watershed scale solute mass balance indicates high relative fluxes of K and Ca, indicating preferential leaching of these solutes possibly from the relatively unweathered lodgement till. Weathering rates for plagioclase and hornblende calculated from a watershed scale solute mass balance are similar in magnitude to rates determined using pore water concentration gradients.
When compared to the Rio Icacos basin in Puerto Rico, a pristine tropical watershed with similar annual precipitation and bedrock, but with dissimilar regolith properties, fluxes of weathering products in stream discharge from the warmer site are 1.8 to 16.2-fold higher, respectively, and regolith profile-averaged plagioclase weathering rates are 3.8 to 9.0-fold higher. This suggests that the Arrhenius effect, which predicts a 3.5- to 9-fold increase in the dissolution rate of plagioclase as temperature is increased from 3.4° to 22 °C, may explain the greater weathering fluxes and rates at the Rio Icacos site. However, more modest differences in K and Ca fluxes between the two sites are attributed to accelerated leaching of those solutes from glacial till at Jamieson Creek. Our findings suggest that under conditions of high rainfall and favorable topography, weathering rates of silicate minerals in warm tropical systems will tend to be higher than in cool temperate systems, even if the temperate system is has been perturbed by an episode of glaciation that deposits regolith high in fresh mineral surface area.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2009.09.005","usgsCitation":"Turner, B.F., White, A.F., and Brantley, S., 2010, Effects of temperature on silicate weathering: Solute fluxes and chemical weathering in a temperate rain forest watershed, Jamieson Creek, British Columbia: Chemical Geology, v. 369, no. 1-2, p. 62-78, https://doi.org/10.1016/j.chemgeo.2009.09.005.","productDescription":"17 p.","startPage":"62","endPage":"78","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":398223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Jamieson Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.09940338134764,\n 49.50269476415281\n ],\n [\n -123.00567626953125,\n 49.50269476415281\n ],\n [\n -123.00567626953125,\n 49.570649710591326\n ],\n [\n -123.09940338134764,\n 49.570649710591326\n ],\n [\n -123.09940338134764,\n 49.50269476415281\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"369","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Turner, Benjamin F.","contributorId":289845,"corporation":false,"usgs":false,"family":"Turner","given":"Benjamin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":839886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Arthur F. afwhite@usgs.gov","contributorId":3718,"corporation":false,"usgs":true,"family":"White","given":"Arthur","email":"afwhite@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":839887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brantley, Susan L.","contributorId":38461,"corporation":false,"usgs":true,"family":"Brantley","given":"Susan L.","affiliations":[],"preferred":false,"id":839888,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97809,"text":"ofr20091041 - 2010 - Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2002","interactions":[],"lastModifiedDate":"2021-08-23T19:12:15.849431","indexId":"ofr20091041","displayToPublicDate":"2009-09-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1041","title":"Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2002","docAbstract":"Streamflow and water-quality data were collected by the U.S. Geological Survey (USGS) or the Providence Water Supply Board, Rhode Island's largest drinking-water supplier. Streamflow was measured or estimated by the USGS following standard methods at 23 streamflow-gaging stations; 10 of these stations were also equipped with instrumentation capable of continuously monitoring specific conductance. Streamflow and concentrations of sodium and chloride estimated from records of specific conductance were used to calculate instantaneous (15-minute) loads of sodium and chloride during water year (WY) 2002 (October 1, 2001 to September 30, 2002). Water-quality samples were also collected at 35 of 37 sampling stations in the Scituate Reservoir drainage area by the Providence Water Supply Board during WY 2002 as part of a long-term sampling program. Water-quality data are summarized by using values of central tendency and are used, in combination with measured (or estimated) streamflows, to calculate loads and yields (loads per unit area) of selected water-quality constituents for WY 2002.\r\n\r\nThe largest tributary to the reservoir (the Ponaganset River, which was monitored by the USGS) contributed about 12.6 cubic feet per second (ft3/s) to the reservoir during WY 2002. For the same time period, annual mean streamflows measured (or estimated) for the other monitoring stations in this study ranged from about 0.14 to 8.1 ft3/s. Together, tributary streams (equipped with instrumentation capable of continuously monitoring specific conductance) transported about 534,000 kilograms (kg) of sodium and 851,000 kg of chloride to the Scituate Reservoir during WY 2002; sodium and chloride yields for the tributaries ranged from 2,900 to 40,200 kilograms per square mile (kg/mi2) and from 4,200 to 68,200 kg/mi2, respectively.\r\n\r\nAt the stations where water-quality samples were collected by the Providence Water Supply Board, the median of the median chloride concentrations was 16.8 milligrams per liter (mg/L), median nitrate concentration was 0.02 mg/L as N, median nitrite concentration was 0.002 mg/L as N, median orthophosphate concentration was 0.03 mg/L as P, and median concentrations of total coliform and Escherichia coli (E. coli) bacteria were 22 and 14 colony forming units per 100 milliliters (CFU/100 mL), respectively. The medians of the median daily loads (and yields) of chloride, nitrate, nitrite, orthophosphate and total coliform and E. coli bacteria were 21 kg/d (12 kg/d/mi2), 0.04 kg/d (0.014 kg/d/mi2), 0.005 kg/d (0.002 kg/d/mi2), 0.08 kg/d (0.035 kg/d/mi2), and 370 million colony forming units per day (CFUx106/d) (120 CFUx106/d/ mi2) and 300 CFUx106/d (75 CFUx106/d/mi2), respectively.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091041","isbn":"9781411325173","collaboration":"Prepared in cooperation with the Providence Water Supply Board and the Rhode Island Department of Environmental Management","usgsCitation":"Breault, R., 2010, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2002: U.S. Geological Survey Open-File Report 2009-1041, v, 26 p., https://doi.org/10.3133/ofr20091041.","productDescription":"v, 26 p.","temporalStart":"2001-10-01","temporalEnd":"2002-09-30","costCenters":[{"id":544,"text":"Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":126289,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1041.jpg"},{"id":12980,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1041/","linkFileType":{"id":5,"text":"html"}},{"id":388260,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87194.htm"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir drainage area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.83333333333333,41.7 ], [ -71.83333333333333,41.916666666666664 ], [ -71.53333333333333,41.916666666666664 ], [ -71.53333333333333,41.7 ], [ -71.83333333333333,41.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4d7e","contributors":{"authors":[{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":2219,"corporation":false,"usgs":true,"family":"Breault","given":"Robert F.","email":"rbreault@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303224,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70230292,"text":"70230292 - 2010 - Mercury sources to Lake Ozette and Lake Dickey: Highly contaminated remote coastal lakes, Washington State, USA","interactions":[],"lastModifiedDate":"2022-04-06T15:25:58.70318","indexId":"70230292","displayToPublicDate":"2009-08-18T10:17:57","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Mercury sources to Lake Ozette and Lake Dickey: Highly contaminated remote coastal lakes, Washington State, USA","docAbstract":"Mercury concentrations in largemouth bass and mercury accumulation rates in age-dated sediment cores were examined at Lake Ozette and Lake Dickey in Washington State. Goals of the study were to compare concentrations in fish tissues at the two lakes with a larger statewide dataset and examine mercury pathways to the lakes. After accounting for fish length, tissue concentrations at the lakes were significantly higher than other Washington State lakes. Wet deposition and historical atmospheric monitoring from the area show no indication of enhanced local or regional deposition. Sediment core records from the lakes indicate rising sedimentation rates coinciding with logging in the lakes’ drainages has greatly increased the net flux of mercury to the waterbodies.
","language":"English","publisher":"Springer Link","doi":"10.1007/s11270-009-0165-y","usgsCitation":"Van Furl, C., Colman, J.A., and Bothner, M., 2010, Mercury sources to Lake Ozette and Lake Dickey: Highly contaminated remote coastal lakes, Washington State, USA: Water, Air, & Soil Pollution, v. 208, p. 275-286, https://doi.org/10.1007/s11270-009-0165-y.","productDescription":"12 p.","startPage":"275","endPage":"286","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475956,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/3848","text":"External Repository"},{"id":398224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Dickey, Lake Ozette","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.51698303222658,\n 48.09619676148215\n ],\n [\n -124.49501037597655,\n 48.09619676148215\n ],\n [\n -124.49501037597655,\n 48.12553866602599\n ],\n [\n -124.51698303222658,\n 48.12553866602599\n ],\n [\n -124.51698303222658,\n 48.09619676148215\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.67868804931639,\n 48.032871264684964\n ],\n [\n -124.58667755126955,\n 48.032871264684964\n ],\n [\n -124.58667755126955,\n 48.15486381795689\n ],\n [\n -124.67868804931639,\n 48.15486381795689\n ],\n [\n -124.67868804931639,\n 48.032871264684964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"208","noUsgsAuthors":false,"publicationDate":"2009-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Furl, Chad","contributorId":289846,"corporation":false,"usgs":false,"family":"Van Furl","given":"Chad","email":"","affiliations":[],"preferred":false,"id":839889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colman, John A. 0000-0001-9327-0779 jacolman@usgs.gov","orcid":"https://orcid.org/0000-0001-9327-0779","contributorId":2098,"corporation":false,"usgs":true,"family":"Colman","given":"John","email":"jacolman@usgs.gov","middleInitial":"A.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":839891,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227338,"text":"70227338 - 2010 - Phosphorus and iron cycling in deep saprolite, Luquillo Mountains, Puerto Rico","interactions":[],"lastModifiedDate":"2022-01-10T16:30:47.160782","indexId":"70227338","displayToPublicDate":"2009-08-12T10:17:53","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Phosphorus and iron cycling in deep saprolite, Luquillo Mountains, Puerto Rico","docAbstract":"Rapid weathering and erosion rates in mountainous tropical watersheds lead to highly variable soil and saprolite thicknesses which in turn impact nutrient fluxes and biological populations. In the Luquillo Mountains of Puerto Rico, a 5-m thick saprolite contains high microorganism densities at the surface and at depth overlying bedrock. We test the hypotheses that the organisms at depth are limited by the availability of two nutrients, P and Fe. Many tropical soils are P-limited, rather than N-limited, and dissolution of apatite is the dominant source of P. We document patterns of apatite weathering and of bioavailable Fe derived from the weathering of primary minerals hornblende and biotite in cores augered to 7.5 m on a ridgetop as compared to spheroidally weathering bedrock sampled in a nearby roadcut.
Iron isotopic compositions of 0.5 N HCl extracts of soil and saprolite range from about δ56Fe = 0 to − 0.1‰ throughout the saprolite except at the surface and at 5 m depth where δ56Fe = − 0.26 to − 0.64‰. The enrichment of light isotopes in HCl-extractable Fe in the soil and at the saprolite–bedrock interface is consistent with active Fe cycling and consistent with the locations of high cell densities and Fe(II)-oxidizing bacteria, identified previously. To evaluate the potential P-limitation of Fe-cycling bacteria in the profile, solid-state concentrations of P were measured as a function of depth in the soil, saprolite, and weathering bedrock. Weathering apatite crystals were examined in thin sections and an apatite dissolution rate of 6.8 × 10− 14 mol m− 2 s− 1 was calculated. While surface communities depend on recycled nutrients and atmospheric inputs, deep communities survive primarily on nutrients released by the weathering bedrock and thus are tightly coupled to processes related to saprolite formation including mineral weathering. While low available P may limit microbial activity within the middle saprolite, fluxes of P from apatite weathering should be sufficient to support robust growth of microorganisms in the deep saprolite.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2009.08.001","usgsCitation":"Buss, H.L., Mathur, R., White, A.F., and Brantley, S., 2010, Phosphorus and iron cycling in deep saprolite, Luquillo Mountains, Puerto Rico: Chemical Geology, v. 269, no. 1-2, p. 52-61, https://doi.org/10.1016/j.chemgeo.2009.08.001.","productDescription":"10 p.","startPage":"52","endPage":"61","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":475958,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/f5de81fa-713b-474b-a158-6a3bde805d56","text":"External Repository"},{"id":394109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Luquillo Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.79952239990234,\n 18.267907446642408\n ],\n [\n -65.76939582824707,\n 18.267907446642408\n ],\n [\n -65.76939582824707,\n 18.301158268874033\n ],\n [\n -65.79952239990234,\n 18.301158268874033\n ],\n [\n -65.79952239990234,\n 18.267907446642408\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"269","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buss, Heather L. 0000-0002-1852-3657","orcid":"https://orcid.org/0000-0002-1852-3657","contributorId":15478,"corporation":false,"usgs":true,"family":"Buss","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":830513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mathur, R.","contributorId":75740,"corporation":false,"usgs":true,"family":"Mathur","given":"R.","email":"","affiliations":[],"preferred":false,"id":830514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Arthur F. afwhite@usgs.gov","contributorId":3718,"corporation":false,"usgs":true,"family":"White","given":"Arthur","email":"afwhite@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":830515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brantley, Susan L.","contributorId":38461,"corporation":false,"usgs":true,"family":"Brantley","given":"Susan L.","affiliations":[],"preferred":false,"id":830516,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208554,"text":"70208554 - 2010 - Effects of vegetation restoration and slope positions on soil aggregation and soil carbon accumulation on heavily eroded tropical land of Southern China","interactions":[],"lastModifiedDate":"2020-02-20T10:08:20","indexId":"70208554","displayToPublicDate":"2009-07-24T14:49:49","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2457,"text":"Journal of Soils and Sediments","active":true,"publicationSubtype":{"id":10}},"title":"Effects of vegetation restoration and slope positions on soil aggregation and soil carbon accumulation on heavily eroded tropical land of Southern China","docAbstract":"Soil organic carbon (SOC) accumulation is strongly affected by soil erosion and deposition that differ at slope positions of a watershed. However, studies on the effects of topography on soil aggregation and SOC dynamics, especially after the implementation of vegetation restoration, are rare. Poorly understood mechanisms and a lack of quantification for the suite of ecological benefits brought by the impacts of topography after planting further obstructed our understanding of terrestrial ecosystem carbon (C) sequestration. The purposes of this study are to (1) quantify the impacts of vegetation restoration on size and stability of soil aggregates and the sequestration of C in soil and (2) to address the impacts of various slope locations on aggregates and SOC distribution.
The experimental sites were set up in 1959 on a highly disturbed barren land in a tropical and coastal area of Guangdong province in South China. One site received human-induced vegetation restoration (the restored site), while the other received no planting and has remained as barren land (the barren site). The soil in the study sites was a latosol developed from granite. Soil samples were taken from 0 to 20 and 20 to 40 cm soil layer at shoulder and toe slope positions at both sites for comparisons. Soils were analyzed for proportion of soil macroaggregates (>0.25 mm), the SOC in soil layers, and the aggregate soil organic carbon (AOC) at different aggregate sizes.
Measurements in 2007 showed that fractions of water stable macroaggregates in 0–40 cm at shoulder and toe slope ranged from 28% to 45%, about one third to one half of those of dry macroaggregates (91–95%) at the restored site. Soil macroaggregates were not detected at barren site in 2007. Average SOC storage in 0–40 cm soil layer of shoulder and toe slope positions at the restored site was 56.5 ± 10.9 Mg C ha−1, about 2.4 times of that (23.4 ± 4.6 Mg C ha−1) at barren site in 2007. Since 1959, the soil aggregation and SOC storage are significantly improved at the restored site; opposite to that, soil physical and chemical quality has remained low on the barren land without planting. SOC storage in 0–40 cm at toe slope was 15.9 ± 1.8 Mg C ha−1, which is only half of that (30.9 ± 9 Mg C ha−1) at shoulder slope of the barren site; this is opposite to the pattern found at restored site. The ratios of AOC in 0–20 cm to AOC in 20–40 cm at toe slope were lower than those at shoulder slope of the restored site. The comparison of organic carbon sequestered in soils at different slope positions suggest that soil aggregates played a role in sequestering C based upon landscape positions and soil profile depth as a consequence of soil erosion and deposition.
Results indicate that vegetation restoration and SOC accumulation significantly enhance soil aggregation, which in turn promotes further organic C accumulation in the aggregates via physical protection. Soil aggregation and soil C accumulation differed between slope positions. Soil aggregation was significantly enhanced in 0–20 cm layer and aggregates absorb C into deep layers in depositional environment (toe slope) under protection from human disturbances. The interactions of erosion–deposition, soil aggregates, and vegetation restoration play important roles on SOC accumulation and redistribution on land.
The positive feedback between SOC and soil aggregates should be evaluated for improving the quantification of the impacts of land use change, erosion, and deposition on the dynamics of SOC and soil structure under the global climate change.
Land cover and land use changes can have a wide variety of ecological effects, including significant impacts on soils and water quality. In rural areas, even subtle changes in farming practices can affect landscape features and functions, and consequently the environment. Fine-scale analyses have to be performed to better understand the land cover change processes. At the same time, models of land cover change have to be developed in order to anticipate where changes are more likely to occur next. Such predictive information is essential to propose and implement sustainable and efficient environmental policies. Future landscape studies can provide a framework to forecast how land use and land cover changes is likely to react differently to subtle changes. This paper proposes a four step framework to forecast landscape futures at fine scales by coupling scenarios and landscape modelling approaches. This methodology has been tested on two contrasting agricultural landscapes located in the United States and France, to identify possible landscape changes based on forecasting and backcasting agriculture intensification scenarios. Both examples demonstrate that relatively subtle land cover and land use changes can have a large impact on future landscapes. Results highlight how such subtle changes have to be considered in term of quantity, location, and frequency of land use and land cover to appropriately assess environmental impacts on water pollution (France) and soil erosion (US). The results highlight opportunities for improvements in landscape modelling.
","language":"English","publisher":"Springer ","doi":"10.1007/s10980-009-9362-8","usgsCitation":"Houet, T., Loveland, T., Hubert-Moy, L., Gaucherel, C., Napton, D., Barnes, C., and Sayler, K., 2010, Exploring subtle land use and land cover changes: A framework for future landscape studies: Landscape Ecology, v. 25, no. 2, p. 249-266, https://doi.org/10.1007/s10980-009-9362-8.","productDescription":"18 p.","startPage":"249","endPage":"266","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475961,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-00389832","text":"External Repository"},{"id":372346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -5.185546875,\n 47.249406957888446\n ],\n [\n -1.23046875,\n 47.249406957888446\n ],\n [\n -1.23046875,\n 49.095452162534826\n ],\n [\n -5.185546875,\n 49.095452162534826\n ],\n [\n -5.185546875,\n 47.249406957888446\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.140625,\n 43.02071359427862\n ],\n [\n -97.36083984375,\n 43.02071359427862\n ],\n [\n -97.36083984375,\n 44.071800467511565\n ],\n [\n -99.140625,\n 44.071800467511565\n ],\n [\n -99.140625,\n 43.02071359427862\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Houet, Thomas","contributorId":167857,"corporation":false,"usgs":false,"family":"Houet","given":"Thomas","email":"","affiliations":[{"id":24840,"text":"University of Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":782362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubert-Moy, Laurence","contributorId":222517,"corporation":false,"usgs":false,"family":"Hubert-Moy","given":"Laurence","email":"","affiliations":[],"preferred":false,"id":782364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaucherel, Cedric","contributorId":222518,"corporation":false,"usgs":false,"family":"Gaucherel","given":"Cedric","email":"","affiliations":[],"preferred":false,"id":782365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Napton, Darrell","contributorId":176288,"corporation":false,"usgs":false,"family":"Napton","given":"Darrell","affiliations":[],"preferred":false,"id":782366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnes, Christopher 0000-0002-4608-4364 christopher.barnes.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":198908,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"christopher.barnes.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":782367,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782368,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70200499,"text":"70200499 - 2010 - Mercury contamination in three species of anuran amphibians from the Cache Creek watershed, California, USA","interactions":[],"lastModifiedDate":"2018-10-22T10:40:20","indexId":"70200499","displayToPublicDate":"2009-04-08T09:58:07","publicationYear":"2010","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":"Mercury contamination in three species of anuran amphibians from the Cache Creek watershed, California, USA","docAbstract":"Fish and wildlife may bioaccumulate mercury (Hg) to levels that adversely affect reproduction, growth, and survival. Sources of Hg within the Cache Creek Watershed in northern California have been identified, and concentrations of Hg in invertebrates and fish have been documented. However, bioaccumulation of Hg by amphibians has not been evaluated. In this study, adult and juvenile American bullfrogs (Lithobates catesbeianus) and foothill yellow-legged frogs (Rana boylii), adult Northern Pacific treefrogs (Pseudacris regilla), and larval bullfrogs were collected and analyzed for total Hg. One or more species of amphibians from 40% of the 35 sites had mean Hg concentrations greater than the US Environmental Protection Agency’s tissue residue criterion for fish (0.3 μg/g). Of the bullfrog tissues analyzed, the liver had the highest concentrations of both total Hg and methyl mercury. Total Hg in carcasses of bullfrogs was highly correlated with total Hg in leg muscle, the tissue most often consumed by humans.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-009-0847-3","usgsCitation":"Hothem, R.L., Jennings, M.R., and Crayon, J.J., 2010, Mercury contamination in three species of anuran amphibians from the Cache Creek watershed, California, USA: Environmental Monitoring and Assessment, v. 163, no. 1-4, p. 433-448, https://doi.org/10.1007/s10661-009-0847-3.","productDescription":"16 p.","startPage":"433","endPage":"448","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":358611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Cache Creek Watershed","volume":"163","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2009-04-08","publicationStatus":"PW","scienceBaseUri":"5c10c9bde4b034bf6a7f72a0","contributors":{"authors":[{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":749176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennings, Mark R.","contributorId":31345,"corporation":false,"usgs":true,"family":"Jennings","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":749177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crayon, John J.","contributorId":174935,"corporation":false,"usgs":false,"family":"Crayon","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":749178,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70180886,"text":"70180886 - 2010 - Background and introduction: Chapter 1","interactions":[{"subject":{"id":70180886,"text":"70180886 - 2010 - Background and introduction: Chapter 1","indexId":"70180886","publicationYear":"2010","noYear":false,"title":"Background and introduction: Chapter 1"},"predicate":"IS_PART_OF","object":{"id":98353,"text":"sir20095247 - 2010 - Saltcedar and Russian Olive Control Demonstration Act Science Assessment","indexId":"sir20095247","publicationYear":"2010","noYear":false,"title":"Saltcedar and Russian Olive Control Demonstration Act Science Assessment"},"id":1}],"isPartOf":{"id":98353,"text":"sir20095247 - 2010 - Saltcedar and Russian Olive Control Demonstration Act Science Assessment","indexId":"sir20095247","publicationYear":"2010","noYear":false,"title":"Saltcedar and Russian Olive Control Demonstration Act Science Assessment"},"lastModifiedDate":"2017-02-06T15:19:24","indexId":"70180886","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Background and introduction: Chapter 1","docAbstract":"The Salt Cedar and Russian Olive Control Demonstration Act of 2006 (Public Law 109-320; hereafter the Act) directs the Department of the Interior to submit a report to Congress1 that includes an assessment of several issues surrounding these two nonnative trees, now dominant components of the vegetation along many rivers in the Western United States. Specifically, the Act calls for “…an assessment of the extent of salt cedar and Russian olive infestation on public and private land in the western United States,” which shall
“A) consider existing research on methods to control salt cedar and Russian olive trees; B) consider the feasibility of reducing water consumption by salt cedar and Russian olive trees; C) consider methods of and challenges associated with the revegetation or restoration of infested land; and D) estimate the costs of destruction of salt cedar and Russian olive trees, related biomass removal, and revegetation or restoration and maintenance of the infested land.”
Finally, the Act calls for discussion of
“(i) long-term management and funding strategies…that could be implemented by Federal, State, tribal, and private land managers and owners to address the infestation by salt cedar and Russian olive; (ii) any deficiencies in the assessment or areas for additional study; and (iii) any field demonstrations that would be useful in the effort to control salt cedar and Russian olive.”
The primary intent of this report is to provide the science assessment called for under the Act. A secondary purpose is to provide a common background for applicants for prospective demonstration projects, should funds be appropriated for this second phase of the Act. In addition to relying on the direction provided under Section C of the Act, the authors of this report also drew upon the detailed list of considerations presented in Section E of the Act to guide development of more expansive discussions of topics relevant to saltcedar and Russian olive control efforts.
In addition to the legislative context described above, this chapter describes the geographic and environmental contexts surrounding the Act, including key terminology used in subsequent chapters of this report. Subsequent chapters synthesize the state-of-the-science on the following topics: distribution and abundance (extent) of saltcedar and Russian olive in the Western United States, potential for water savings associated with control of saltcedar and Russian olive and associated restoration, considerations related to wildlife use of saltcedar and Russian olive habitat or restored habitats, methods to control saltcedar and Russian olive, possible utilization of dead biomass following control, and approaches and challenges associated with revegetation or restoration following control. A concluding chapter includes discussion of possible long-term management strategies, areas for additional study, potentially useful field demonstrations, and a planning process for on-the-ground projects involving removal of saltcedar and Russian olive.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Saltcedar and Russian Olive Control Demonstration Act Science Assessment (Scientific Investigations Report 2009–5247)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Shafroth, P.B., 2010, Background and introduction: Chapter 1, chap. of Saltcedar and Russian Olive Control Demonstration Act Science Assessment (Scientific Investigations Report 2009–5247), p. 3-6.","productDescription":"4 p.","startPage":"3","endPage":"6","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":334842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334841,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2009/5247/pdf/SIR09-5247.pdf","size":"35.4 MB","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58999943e4b0efcedb71a09a","contributors":{"authors":[{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":662703,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192884,"text":"70192884 - 2010 - Predicting unsaturated zone nitrogen mass balances in agricultural settings of the United States","interactions":[],"lastModifiedDate":"2022-09-08T17:30:43.44453","indexId":"70192884","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Predicting unsaturated zone nitrogen mass balances in agricultural settings of the United States","docAbstract":"Unsaturated zone N fate and transport were evaluated at four sites to identify the predominant pathways of N cycling: an almond [Prunus dulcis (Mill.) D.A. Webb] orchard and cornfield (Zea mays L.) in the lower Merced River study basin, California; and corn–soybean [Glycine max (L.) Merr.] rotations in study basins at Maple Creek, Nebraska, and at Morgan Creek, Maryland. We used inverse modeling with a new version of the Root Zone Water Quality Model (RZWQM2) to estimate soil hydraulic and nitrogen transformation parameters throughout the unsaturated zone; previous versions were limited to 3-m depth and relied on manual calibration. The overall goal of the modeling was to derive unsaturated zone N mass balances for the four sites. RZWQM2 showed promise for deeper simulation profiles. Relative root mean square error (RRMSE) values for predicted and observed nitrate concentrations in lysimeters were 0.40 and 0.52 for California (6.5 m depth) and Nebraska (10 m), respectively, and index of agreement (d) values were 0.60 and 0.71 (d varies between 0 and 1, with higher values indicating better agreement). For the shallow simulation profile (1 m) in Maryland, RRMSE and d for nitrate were 0.22 and 0.86, respectively. Except for Nebraska, predictions of average nitrate concentration at the bottom of the simulation profile agreed reasonably well with measured concentrations in monitoring wells. The largest additions of N were predicted to come from inorganic fertilizer (153–195 kg N ha−1 yr−1 in California) and N fixation (99 and 131 kg N ha−1 yr−1 in Maryland and Nebraska, respectively). Predicted N losses occurred primarily through plant uptake (144–237 kg N ha−1 yr−1) and deep seepage out of the profile (56–102 kg N ha−1 yr−1). Large reservoirs of organic N (up to 17,500 kg N ha−1 m−1 at Nebraska) were predicted to reside in the unsaturated zone, which has implications for potential future transfer of nitrate to groundwater.
","language":"English","publisher":"Acsess","doi":"10.2134/jeq2009.0310","usgsCitation":"Nolan, B.T., Puckett, L., Ma, L., Green, C.T., Bayless, E.R., and Malone, R.W., 2010, Predicting unsaturated zone nitrogen mass balances in agricultural settings of the United States: Journal of Environmental Quality, v. 39, no. 3, p. 1051-1065, https://doi.org/10.2134/jeq2009.0310.","productDescription":"15 p.","startPage":"1051","endPage":"1065","ipdsId":"IP-013623","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":348668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Randall 0000-0002-0357-3635 ebayless@usgs.gov","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":1518,"corporation":false,"usgs":true,"family":"Bayless","given":"E.","email":"ebayless@usgs.gov","middleInitial":"Randall","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":721733,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Malone, Robert W.","contributorId":10347,"corporation":false,"usgs":false,"family":"Malone","given":"Robert","email":"","middleInitial":"W.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":721734,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70171013,"text":"70171013 - 2010 - Monitoring and characterizing natural hazards with satellite InSAR imagery","interactions":[],"lastModifiedDate":"2021-01-08T16:39:36.991136","indexId":"70171013","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5089,"text":"Annals of GIS","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring and characterizing natural hazards with satellite InSAR imagery","docAbstract":"Interferometric synthetic aperture radar (InSAR) provides an all-weather imaging capability for measuring ground-surface deformation and inferring changes in land surface characteristics. InSAR enables scientists to monitor and characterize hazards posed by volcanic, seismic, and hydrogeologic processes, by landslides and wildfires, and by human activities such as mining and fluid extraction or injection. Measuring how a volcano's surface deforms before, during, and after eruptions provides essential information about magma dynamics and a basis for mitigating volcanic hazards. Measuring spatial and temporal patterns of surface deformation in seismically active regions is extraordinarily useful for understanding rupture dynamics and estimating seismic risks. Measuring how landslides develop and activate is a prerequisite to minimizing associated hazards. Mapping surface subsidence or uplift related to extraction or injection of fluids during exploitation of groundwater aquifers or petroleum reservoirs provides fundamental data on aquifer or reservoir properties and improves our ability to mitigate undesired consequences. Monitoring dynamic water-level changes in wetlands improves hydrological modeling predictions and the assessment of future flood impacts. In addition, InSAR imagery can provide near-real-time estimates of fire scar extents and fire severity for wildfire management and control. All-weather satellite radar imagery is critical for studying various natural processes and is playing an increasingly important role in understanding and forecasting natural hazards.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19475681003700914","usgsCitation":"Lu, Z., Zhang, J., Zhang, Y., and Dzurisin, D., 2010, Monitoring and characterizing natural hazards with satellite InSAR imagery: Annals of GIS, v. 16, no. 1, p. 55-66, https://doi.org/10.1080/19475681003700914.","productDescription":"12 p.","startPage":"55","endPage":"66","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":488987,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19475681003700914","text":"Publisher Index Page"},{"id":382027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913dae4b07657d19ff1b6","contributors":{"authors":[{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":629537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Jixian","contributorId":36396,"corporation":false,"usgs":true,"family":"Zhang","given":"Jixian","affiliations":[],"preferred":false,"id":629538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Yonghong","contributorId":82563,"corporation":false,"usgs":true,"family":"Zhang","given":"Yonghong","email":"","affiliations":[],"preferred":false,"id":629539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":629540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97929,"text":"sir20095187 - 2009 - Future water-supply scenarios, Cape May County, New Jersey, 2003-2050","interactions":[],"lastModifiedDate":"2021-04-13T12:25:18.479359","indexId":"sir20095187","displayToPublicDate":"2021-04-12T09:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5187","title":"Future water-supply scenarios, Cape May County, New Jersey, 2003-2050","docAbstract":"Stewards of the water supply in New Jersey are interested in developing a plan to supply potable and non-potable water to residents and businesses of Cape May County until at least 2050. The ideal plan would meet projected demands and minimize adverse effects on currently used sources of potable, non-potable, and ecological water supplies.\r\n\r\nThis report documents past and projected potable, non-potable, and ecological water-supply demands. Past and ongoing adverse effects to production and domestic wells caused by withdrawals include saltwater intrusion and water-level declines in the freshwater aquifers. Adverse effects on the ecological water supplies caused by groundwater withdrawals include premature drying of seasonal wetlands, delayed recovery of water levels in the water-table aquifer, and reduced streamflow. To predict the effects of future actions on the water supplies, three baseline and six future scenarios were created and simulated.\r\n\r\nBaseline Scenarios 1, 2, and 3 represent withdrawals using existing wells projected until 2050. Baseline Scenario 1 represents average 1998-2003 withdrawals, and Scenario 2 represents New Jersey Department of Environmental Protection (NJDEP) full allocation withdrawals. These withdrawals do not meet projected future water demands. Baseline Scenario 3 represents the estimated full build-out water demands. Results of simulations of the three baseline scenarios indicate that saltwater would intrude into the Cohansey aquifer as much as 7,100 feet (ft) to adversely affect production wells used by Lower Township and the Wildwoods, as well as some other near-shore domestic wells; water-level altitudes in the Atlantic City 800-foot sand would decline to -156 ft; base flow in streams would be depleted by 0 to 26 percent; and water levels in the water-table aquifer would decline as much as 0.7ft. [Specific water-level altitudes, land-surface altitudes, and present sea level when used in this report are referenced to the North American Vertical Datum of 1988 (NAVD 88).]\r\n\r\nFuture scenarios 4 to 9 represent withdrawals and the effects on the water supply while using estimated full build-out water demands. In most townships, existing wells would be used for withdrawals in the simulation. However, in Lower and Middle Townships, the Wildwoods, and the Cape Mays, withdrawals from some wells would be terminated, reduced, or increased. Depending on the scenario, proposed production wells would be installed in locations far from the saltwater fronts, in deep freshwater aquifers, in deeper saltwater aquifers, or proposed injection wells would be installed to inject reused water to create a freshwater barrier to saltwater intrusion. Simulations indicate that future Scenarios 4 to 9 would reduce many of the adverse effects of Scenarios 1, 2, and 3. No future scenario will minimize all adverse impacts.\r\n\r\nIn Scenario 4, Lower Township would drill two production wells in the Cohansey aquifer farther from the Delaware shoreline than existing wells and reduce withdrawals from wells near the shoreline. Wildwood Water Utility (WWU) would reduce withdrawals from existing wells in the Cohansey aquifer and increase withdrawals from wells in the Rio Grande water-bearing zone. Results of the simulation indicate that saltwater intrusion and ecological-water supply problems would be reduced but not as much as in Scenarios 5, 7, 8, and 9.\r\n\r\nIn Scenario 5, the Wildwoods and Lower Township each would install a desalination plant and drill two wells to withdraw saltwater from the Atlantic City 800-foot sand. Saltwater intrusion problems would be reduced to the greatest extent with this scenario. Ecological water supplies remain constant or decline from 2003 baseline values. Water-level altitudes would decline to -193 ft in the Atlantic City 800-foot sand, the deepest potentiometric level for all scenarios.\r\n\r\nIn Scenario 6, Lower Township would build a tertiary treatment system and drill three wells open to the Cohanse","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095187","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Lacombe, P., Carleton, G.B., Pope, D.A., and Rice, D.E., 2009, Future water-supply scenarios, Cape May County, New Jersey, 2003-2050: U.S. Geological Survey Scientific Investigations Report 2009-5187, Report: xviii, 159 p.; Data Release, https://doi.org/10.3133/sir20095187.","productDescription":"Report: xviii, 159 p.; Data Release","temporalStart":"2003-01-01","temporalEnd":"2050-12-31","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":125679,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5187.jpg"},{"id":13101,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5187/","linkFileType":{"id":5,"text":"html"}},{"id":384999,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GQT3ZC","text":"USGS data release","linkHelpText":"SEAWAT, MODFLOW-2000, and SHARP models used to simulate future water-supply scenarios, Cape May County, New Jersey"}],"country":"United States","state":"New Jersey","county":"Cape May County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.08333333333333,38.833333333333336 ], [ -75.08333333333333,39.333333333333336 ], [ -74.5,39.333333333333336 ], [ -74.5,38.833333333333336 ], [ -75.08333333333333,38.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae262","contributors":{"authors":[{"text":"Lacombe, Pierre J. placombe@usgs.gov","contributorId":2486,"corporation":false,"usgs":true,"family":"Lacombe","given":"Pierre J.","email":"placombe@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":303610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carleton, Glen B. 0000-0002-7666-4407 carleton@usgs.gov","orcid":"https://orcid.org/0000-0002-7666-4407","contributorId":3795,"corporation":false,"usgs":true,"family":"Carleton","given":"Glen","email":"carleton@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":303611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pope, Daryll A. dpope@usgs.gov","contributorId":3796,"corporation":false,"usgs":true,"family":"Pope","given":"Daryll","email":"dpope@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":303612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Donald E.","contributorId":70440,"corporation":false,"usgs":true,"family":"Rice","given":"Donald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":303613,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179919,"text":"70179919 - 2009 - Ground-water conditions in Utah, spring of 2009","interactions":[],"lastModifiedDate":"2019-05-22T09:18:16","indexId":"70179919","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":110,"text":"Cooperative Investigations Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"50","title":"Ground-water conditions in Utah, spring of 2009","docAbstract":"This is the forty-sixth in a series of annual reports that describe ground-water conditions in Utah. Reports in this series, published cooperatively by the U.S. Geological Survey and the Utah Department of Natural Resources, Division of Water Resources and Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality, provide data to enable interested parties to maintain awareness of changing ground-water conditions.
This report, like the others in the series, contains information on well construction, ground-water withdrawal from wells, water-level changes, precipitation, streamflow, and chemical quality of water. Information on well construction included in this report refers only to wells constructed for new appropriations of ground water. Supplementary data are included in reports of this series only for those years or areas which are important to a discussion of changing ground-water conditions and for which applicable data are available.
This report includes individual discussions of selected significant areas of ground-water development in the State for calendar year 2008. Most of the reported data were collected by the U.S. Geological Survey in cooperation with the Utah Department of Natural Resources, Division of Water Resources and Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality. This report is available online at http://www.waterrights. utah.gov/techinfo/ and http://ut.water.usgs.gov/publications/ GW2009.pdf.
","language":"English","publisher":"Utah Department of Natural Resources, Division of Water Resources","publisherLocation":"Salt Lake City, UT","collaboration":"Prepared in cooperation with the Utah Department of Natural Resources, Division of Water Resources and Division of Water Rights, and Utah Department of Environmental Quality, Division of Water Quality","usgsCitation":"Burden, C.B., Allen, D.V., Rowland, R.C., Fisher, M.J., Freeman, M.L., Downhour, P., Nielson, A., Eacret, R.J., Myers, A., Slaugh, B.A., Swenson, R.L., Howells, J.H., and Christiansen, H.K., 2009, Ground-water conditions in Utah, spring of 2009: Cooperative Investigations Report 50, viii, 120 p.","productDescription":"viii, 120 p.","numberOfPages":"132","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":333558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364078,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://waterrights.utah.gov/techinfo/wwwpub/GW2009.pdf"}],"country":"United States","state":"Utah","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58833024e4b0d002316377a4","contributors":{"authors":[{"text":"Burden, Carole B. cburden@usgs.gov","contributorId":852,"corporation":false,"usgs":true,"family":"Burden","given":"Carole","email":"cburden@usgs.gov","middleInitial":"B.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, David V.","contributorId":75989,"corporation":false,"usgs":true,"family":"Allen","given":"David","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":660075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, Ryan C. rrowland@usgs.gov","contributorId":3606,"corporation":false,"usgs":true,"family":"Rowland","given":"Ryan","email":"rrowland@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":660076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Martel J. mjfisher@usgs.gov","contributorId":4410,"corporation":false,"usgs":true,"family":"Fisher","given":"Martel","email":"mjfisher@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":660077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Michael L. mfreeman@usgs.gov","contributorId":1042,"corporation":false,"usgs":true,"family":"Freeman","given":"Michael","email":"mfreeman@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":660078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Downhour, Paul downhour@usgs.gov","contributorId":968,"corporation":false,"usgs":true,"family":"Downhour","given":"Paul","email":"downhour@usgs.gov","affiliations":[],"preferred":true,"id":660079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nielson, Ashley","contributorId":178609,"corporation":false,"usgs":false,"family":"Nielson","given":"Ashley","email":"","affiliations":[],"preferred":false,"id":660080,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eacret, Robert J. rjeacret@usgs.gov","contributorId":971,"corporation":false,"usgs":true,"family":"Eacret","given":"Robert","email":"rjeacret@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":660081,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Myers, Andrew","contributorId":178610,"corporation":false,"usgs":false,"family":"Myers","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":660082,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Slaugh, Bradley A. baslaugh@usgs.gov","contributorId":966,"corporation":false,"usgs":true,"family":"Slaugh","given":"Bradley","email":"baslaugh@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":660083,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Swenson, Robert L.","contributorId":64697,"corporation":false,"usgs":true,"family":"Swenson","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660084,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Howells, James H. jhowells@usgs.gov","contributorId":969,"corporation":false,"usgs":true,"family":"Howells","given":"James","email":"jhowells@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":660085,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Christiansen, Howard K.","contributorId":47830,"corporation":false,"usgs":true,"family":"Christiansen","given":"Howard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":660086,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70175279,"text":"70175279 - 2009 - How humans and nature have shaped the San Francisco Estuary since the Gold Rush","interactions":[],"lastModifiedDate":"2017-06-30T15:33:33","indexId":"70175279","displayToPublicDate":"2015-12-29T05:15:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"How humans and nature have shaped the San Francisco Estuary since the Gold Rush","docAbstract":"The San Francisco Estuary has undergone dramatic changes since the Gold Rush, as both natural forces and human activities have added and removed massive quantities of sediment, primarily sand and mud. A long-term perspective of sediment movement and patterns of sediment deposition and erosion is vital for effective management of wetlands, sediment contamination, dredging, mining, and other phenomena. Quantitative analysis of historical depth surveys and changes between surveys provides this perspective.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The Pulse of the Estuary: Monitoring and Managing Water Quality in the San Francisco Estuary","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Regional Monitoring Program for Water Quality in the San Francisco Estuary","publisherLocation":"San Francisco, CA","usgsCitation":"Jaffe, B.E., 2009, How humans and nature have shaped the San Francisco Estuary since the Gold Rush, v. 583, 9 p.","productDescription":"9 p.","startPage":"66","endPage":"74","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":326079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326075,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.sfei.org/sites/default/files/biblio_files/RMP_Pulse09_no583_final4web.pdf","text":"The Pulse of the Estuary","size":"8.97 MB","linkFileType":{"id":1,"text":"pdf"},"description":"The Pulse of the Estuary"}],"volume":"583","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315c4e4b006cb45558ad8","contributors":{"authors":[{"text":"Jaffe, B. E.","contributorId":88327,"corporation":false,"usgs":true,"family":"Jaffe","given":"B.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":644682,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173467,"text":"70173467 - 2009 - Evaluating the power to detect temporal trends in fishery independent surveys: A case study based on Gillnets Set in the Ohio waters of Lake Erie for walleye","interactions":[],"lastModifiedDate":"2021-04-02T15:50:10.8542","indexId":"70173467","displayToPublicDate":"2015-12-22T14:15:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the power to detect temporal trends in fishery independent surveys: A case study based on Gillnets Set in the Ohio waters of Lake Erie for walleye","docAbstract":"Fishery-independent (FI) surveys provide critical information used for the sustainable management and conservation of fish populations. Because fisheries management often requires the effects of management actions to be evaluated and detected within a relatively short time frame, it is important that research be directed toward FI survey evaluation, especially with respect to the ability to detect temporal trends. Using annual FI gill-net survey data for Lake Erie walleyes Sander vitreus collected from 1978 to 2006 as a case study, our goals were to (1) highlight the usefulness of hierarchical models for estimating spatial and temporal sources of variation in catch per effort (CPE); (2) demonstrate how the resulting variance estimates can be used to examine the statistical power to detect temporal trends in CPE in relation to sample size, duration of sampling, and decisions regarding what data are most appropriate for analysis; and (3) discuss recommendations for evaluating FI surveys and analyzing the resulting data to support fisheries management. This case study illustrated that the statistical power to detect temporal trends was low over relatively short sampling periods (e.g., 5–10 years) unless the annual decline in CPE reached 10–20%. For example, if 50 sites were sampled each year, a 10% annual decline in CPE would not be detected with more than 0.80 power until 15 years of sampling, and a 5% annual decline would not be detected with more than 0.8 power for approximately 22 years. Because the evaluation of FI surveys is essential for ensuring that trends in fish populations can be detected over management-relevant time periods, we suggest using a meta-analysis–type approach across systems to quantify sources of spatial and temporal variation. This approach can be used to evaluate and identify sampling designs that increase the ability of managers to make inferences about trends in fish stocks.
","language":"English","publisher":"Taylor & Francis","doi":"10.1577/M08-197.1","usgsCitation":"Wagner, T., Vandergoot, C.S., and Tyson, J., 2009, Evaluating the power to detect temporal trends in fishery independent surveys: A case study based on Gillnets Set in the Ohio waters of Lake Erie for walleye: North American Journal of Fisheries Management, v. 29, no. 3, p. 805-816, https://doi.org/10.1577/M08-197.1.","productDescription":"11 p.","startPage":"805","endPage":"816","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008027","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.5352783203125,\n 41.97174336327968\n ],\n [\n -80.540771484375,\n 42.32606244456202\n ],\n [\n -81.287841796875,\n 42.200038266046754\n ],\n [\n -82.40295410156249,\n 41.672911819602085\n ],\n [\n -82.6885986328125,\n 41.672911819602085\n ],\n [\n -83.067626953125,\n 41.86137915587359\n ],\n [\n -83.111572265625,\n 41.95131994679697\n ],\n [\n -83.4356689453125,\n 41.701627343789184\n ],\n [\n -82.9852294921875,\n 41.56203190200195\n ],\n [\n -82.99072265625,\n 41.46742831254425\n ],\n [\n -82.913818359375,\n 41.40153558289846\n ],\n [\n -82.7490234375,\n 41.422134246213616\n ],\n [\n -82.6611328125,\n 41.44684402008925\n ],\n [\n -82.45788574218749,\n 41.347948493443546\n ],\n [\n -82.0458984375,\n 41.492120839687786\n ],\n [\n -81.88110351562499,\n 41.44272637767212\n ],\n [\n -81.6888427734375,\n 41.44684402008925\n ],\n [\n -81.3262939453125,\n 41.7180304600481\n ],\n [\n -81.1285400390625,\n 41.79179268262892\n ],\n [\n -80.804443359375,\n 41.87774145109676\n ],\n [\n -80.5352783203125,\n 41.97174336327968\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-06-01","publicationStatus":"PW","scienceBaseUri":"57651f33e4b07657d19c7898","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandergoot, Christopher S.","contributorId":71849,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":639602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tyson, Jeff","contributorId":147298,"corporation":false,"usgs":false,"family":"Tyson","given":"Jeff","affiliations":[],"preferred":false,"id":639603,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70007521,"text":"70007521 - 2009 - Contributions of nitrogen to the Barnegat Bay-Little Egg Harbor Estuary: Updated loading estimates","interactions":[],"lastModifiedDate":"2016-04-25T14:32:31","indexId":"70007521","displayToPublicDate":"2015-07-14T13:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Contributions of nitrogen to the Barnegat Bay-Little Egg Harbor Estuary: Updated loading estimates","docAbstract":"Based on the most recent and most accurate data available through 2008, the total load of nitrogen to the Barnegat Bay‐Little Egg Harbor (BB‐LEH) estuary from the most substantial sources (surface water, including surface‐water discharge and direct storm runoff; ground‐water discharge; and atmospheric deposition) is estimated to be 650,000 kilograms of nitrogen per year (kg N/yr). Surface water contributes 66 percent (431,000 kg N/yr), direct ground‐ water discharge accounts for 12 percent (78,000 kg N/yr), and atmospheric deposition accounts for 22 percent (141,000 kg N/yr). This new loading estimate was compared to a previously published estimate produced by using similar methodology but less current data through 1997. Findings of the present study include a substantially lower estimate of atmospheric deposition of nitrogen to the estuary compared to the previous estimate. The study results also offer further support of the relation between land use and nitrogen levels, and indicate that the Toms and Metedeconk River basins account for more than 60 percent of the nitrogen load to the estuary from surface‐water discharge. Differences between the two estimates can be attributed to both the use of more accurate and more recent data in the revised estimate, and actual changes in the magnitude of nitrogen loads from various sources. Gaps in available water‐quality and hydrologic data are documented, and additional analysis and monitoring that may improve the reliability of future nitrogen loading estimates are presented.
","largerWorkTitle":"Barnegat Bay Partnership State of the Bay Technical Report","language":"English","publisher":"U.S. Geological Survey","collaboration":"Prepared in cooperation with the Barnegat Bay National Estuary Program","usgsCitation":"Wieben, C.M., and Baker, R.J., 2009, Contributions of nitrogen to the Barnegat Bay-Little Egg Harbor Estuary: Updated loading estimates, 25 p.","productDescription":"25 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017449","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":320532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320531,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://bbp.ocean.edu/pages/184.asp"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay‐Little Egg Harbor estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.014892578125,\n 40.14318974292438\n ],\n [\n -74.04510498046875,\n 40.03392360399664\n ],\n [\n -74.07257080078125,\n 39.87812720644829\n ],\n [\n -74.0863037109375,\n 39.74521015328692\n ],\n [\n -74.15496826171874,\n 39.65011210186371\n ],\n [\n -74.22088623046875,\n 39.5633531658293\n ],\n [\n -74.2840576171875,\n 39.50615988027491\n ],\n [\n -74.3609619140625,\n 39.5146359327835\n ],\n [\n -74.41864013671875,\n 39.53370327008705\n ],\n [\n -74.47906494140625,\n 39.552765371831015\n ],\n [\n -74.49554443359375,\n 39.592990390285024\n ],\n [\n -74.4873046875,\n 39.66491373749128\n ],\n [\n -74.4488525390625,\n 39.707186656826565\n ],\n [\n -74.36370849609375,\n 39.7958755252971\n ],\n [\n -74.33624267578125,\n 39.838068180000015\n ],\n [\n -74.35821533203125,\n 39.871803651624425\n ],\n [\n -74.42962646484375,\n 39.90762941952987\n ],\n [\n -74.46258544921875,\n 39.95817509460007\n ],\n [\n -74.5037841796875,\n 40.03182061333687\n ],\n [\n -74.5037841796875,\n 40.157885249506506\n ],\n [\n -74.4708251953125,\n 40.24179856487036\n ],\n [\n -74.4158935546875,\n 40.25228042623783\n ],\n [\n -74.29504394531249,\n 40.250184183819854\n ],\n [\n -74.19891357421875,\n 40.2313150803688\n ],\n [\n -74.14672851562499,\n 40.21873275657031\n ],\n [\n -74.1192626953125,\n 40.20195268954057\n ],\n [\n -74.0643310546875,\n 40.176774799905445\n ],\n [\n -74.014892578125,\n 40.14318974292438\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571f3fb3e4b071321fe56a10","contributors":{"authors":[{"text":"Wieben, Christine M. 0000-0001-5825-5119 cwieben@usgs.gov","orcid":"https://orcid.org/0000-0001-5825-5119","contributorId":4270,"corporation":false,"usgs":true,"family":"Wieben","given":"Christine","email":"cwieben@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":626208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Ronald J. rbaker@usgs.gov","contributorId":1436,"corporation":false,"usgs":true,"family":"Baker","given":"Ronald","email":"rbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":626209,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004127,"text":"70004127 - 2009 - Responses of stream nitrate and dissolved organic carbon loadings to hydrological forcing and climate change in an upland forest of the northeast USA","interactions":[],"lastModifiedDate":"2015-11-16T14:43:54","indexId":"70004127","displayToPublicDate":"2015-06-08T09:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Responses of stream nitrate and dissolved organic carbon loadings to hydrological forcing and climate change in an upland forest of the northeast USA","docAbstract":"[1] In coming decades, higher annual temperatures, increased growing season length, and increased dormant season precipitation are expected across the northeastern United States in response to anthropogenic forcing of global climate. We synthesized long-term stream hydrochemical data from the Sleepers River Research Watershed in Vermont, United States, to explore the relationship of catchment wetness to stream nitrate and DOC loadings. We modeled changes in growing season length and precipitation patterns to simulate future climate scenarios and to assess how stream nutrient loadings respond to climate change. Model results for the 2070–2099 time period suggest that stream nutrient loadings during both the dormant and growing seasons will respond to climate change. During a warmer climate, growing season stream fluxes (runoff +20%, nitrate +57%, and DOC +58%) increase as more precipitation (+28%) and quick flow (+39%) occur during a longer growing season (+43 days). During the dormant season, stream water and nutrient loadings decrease. Net annual stream runoff (+8%) and DOC loading (+9%) increases are commensurate with the magnitude of the average increase of net annual precipitation (+7%). Net annual stream water and DOC loadings are primarily affected by increased dormant season precipitation. In contrast, decreased annual loading of stream nitrate (−2%) reflects a larger effect of growing season controls on stream nitrate and the effects of lengthened growing seasons in a warmer climate. Our findings suggest that leaching of nitrate and DOC from catchment soils will be affected by anthropogenic climate forcing, thereby affecting the timing and magnitude of annual stream loadings in the northeastern United States.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008JG000778","usgsCitation":"Sebestyen, S.D., Boyer, E.W., and Shanley, J.B., 2009, Responses of stream nitrate and dissolved organic carbon loadings to hydrological forcing and climate change in an upland forest of the northeast USA: Journal of Geophysical Research, v. 114, no. G2, 11 p., https://doi.org/10.1029/2008JG000778.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-006854","costCenters":[],"links":[{"id":475963,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008jg000778","text":"Publisher Index Page"},{"id":311383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311382,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1029/2008JG000778/abstract"}],"country":"United States","state":"Vermont","otherGeospatial":"Sleepers River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.8890380859375,\n 44.10139306449849\n ],\n [\n -71.8890380859375,\n 44.896741421341964\n ],\n [\n -71.0101318359375,\n 44.896741421341964\n ],\n [\n -71.0101318359375,\n 44.10139306449849\n ],\n [\n -71.8890380859375,\n 44.10139306449849\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"114","issue":"G2","noUsgsAuthors":false,"publicationDate":"2009-04-07","publicationStatus":"PW","scienceBaseUri":"564b0c5be4b0ebfbef0d3183","contributors":{"authors":[{"text":"Sebestyen, Stephen D.","contributorId":107562,"corporation":false,"usgs":true,"family":"Sebestyen","given":"Stephen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":579889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":579890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579891,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004414,"text":"70004414 - 2009 - Streamflow and fluvial sediment transport in Pool C, restored section of the Kissimmee River","interactions":[],"lastModifiedDate":"2022-12-16T18:00:51.818983","indexId":"70004414","displayToPublicDate":"2015-06-08T05:15:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"chapter":"2","title":"Streamflow and fluvial sediment transport in Pool C, restored section of the Kissimmee River","docAbstract":"The Kissimmee River Restoration Project was authorized by Congress in 1992 to restore more than 64 km2 (square kilometers) of river/floodplain ecosystem including 69 km of meandering river channel and 10,900 hectares (ha) of wetlands. Although biologic monitoring is an integral and active part of the Kissimmee River restoration, by 2007 geomorphic monitoring that included sediment transport was lacking. In 2007, the U.S. Geological Survey (USGS) entered into a cooperative agreement with the South Florida Water Management District (SFWMD) to determine sediment transport characteristics of the restored section of the Kissimmee River in Pool C. Sediment transport characteristics that are monitored include suspended-sediment concentrations and loads, bedload, and bed material. In addition, the organic content of suspended sediment and bedload was determined. This chapter describes methods and results of the sediment transport monitoring from July 2007 through September 2008 in the Kissimmee River in Pool C.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geomorphic monitoring of the Kissimmee River restoration: 2006-2009","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","usgsCitation":"Pearman, J.L., Gellis, A.C., and Habermehl, P.J., 2009, Streamflow and fluvial sediment transport in Pool C, restored section of the Kissimmee River, 21 p.","productDescription":"21 p.","startPage":"13","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2009-01-01","ipdsId":"IP-017911","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":310739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","city":"Basinger","otherGeospatial":"Kissimmee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.10438968696971,\n 27.39781131474585\n ],\n [\n -81.10438968696971,\n 27.360891958316742\n ],\n [\n -81.04414894416172,\n 27.360891958316742\n ],\n [\n -81.04414894416172,\n 27.39781131474585\n ],\n [\n -81.10438968696971,\n 27.39781131474585\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5631f207e4b0c1dd0339e4ff","contributors":{"editors":[{"text":"Mossa, Joann","contributorId":44294,"corporation":false,"usgs":false,"family":"Mossa","given":"Joann","email":"","affiliations":[{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false}],"preferred":false,"id":578642,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":859222,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":859223,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Pearman, J. 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Leroy","contributorId":75188,"corporation":false,"usgs":true,"family":"Pearman","given":"J.","email":"","middleInitial":"Leroy","affiliations":[],"preferred":false,"id":578637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":859221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Habermehl, Philip J. phaberm@usgs.gov","contributorId":4253,"corporation":false,"usgs":true,"family":"Habermehl","given":"Philip","email":"phaberm@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":578641,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041566,"text":"70041566 - 2009 - Monitoring and modeling shoreline response due to shoreface nourishment on a high-energy coast","interactions":[],"lastModifiedDate":"2015-10-29T13:03:31","indexId":"70041566","displayToPublicDate":"2015-06-02T05:15:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring and modeling shoreline response due to shoreface nourishment on a high-energy coast","docAbstract":"Shoreface nourishment can be an efficient technique to feed sediment into the littoral zone without the order of magnitude cost increase incurred by directly nourishing the beach. An erosion hot spot at Ocean Beach in San Francisco, California, USA, threatens valuable public infrastructure as well as safe recreational use of the beach. In an effort to reduce the erosion at this location, a new beneficial reuse plan was implemented in May 2005 for the sediment dredged annually from the main shipping channel at the mouth of San Francisco Bay. From 2005 to 2007, approximately 230,000 m of sand was placed annually at depths between 9 and 14 m, in a location where strong tidal currents and open-ocean waves could potentially feed sediment onto the section of beach experiencing critical erosion. The evolution of the disposal mound and adjacent beach were monitored with 12 multibeam bathymetric surveys, and over 40 high-resolution beach topographic surveys. In addition, sediment transport processes were investigated using sediment grab samples, acoustic Doppler profilers, and two separate models: a cross-shore profile model (UNIBEST-TC) and a coastal area model (Delft3D). The results of the monitoring and modeling demonstrate that the disposal mound may be effective in dissipating wave energy striking this vulnerable stretch of coast with negligible shadowing effects, but a positive shoreline response can only be achieved by placing the sediment in water depths less than 5 m.
","language":"English","publisher":"Coastal Education & Research Foundation","usgsCitation":"Barnard, P.L., Erikson, L., and Hansen, J.E., 2009, Monitoring and modeling shoreline response due to shoreface nourishment on a high-energy coast: Journal of Coastal Research, no. Special Issue 56, p. 29-33.","productDescription":"5 p.","startPage":"29","endPage":"33","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011076","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":310769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"Fort Funston, Ocean Beach, Point Lobos","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.33251953125,\n 37.67947293019486\n ],\n [\n -122.05261230468751,\n 36.16448788632064\n ],\n [\n -121.343994140625,\n 36.50963615733049\n ],\n [\n -121.00341796874999,\n 36.92793899776678\n ],\n [\n -121.72302246093749,\n 37.67947293019486\n ],\n [\n -122.1844482421875,\n 38.190704293996504\n ],\n [\n -122.288818359375,\n 38.12591462924157\n ],\n [\n -123.33251953125,\n 37.67947293019486\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"Special Issue 56","publicComments":"Proceedings of the 10th International Coastal Symposium","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5633433ee4b048076347eed2","contributors":{"authors":[{"text":"Barnard, P. L.","contributorId":115273,"corporation":false,"usgs":true,"family":"Barnard","given":"P.","email":"","middleInitial":"L.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":578708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":3170,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":578709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, J. E.","contributorId":120364,"corporation":false,"usgs":true,"family":"Hansen","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":578710,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192959,"text":"70192959 - 2009 - Characterization of rock samples and mineralogical controls on leachates","interactions":[],"lastModifiedDate":"2017-12-21T10:35:51","indexId":"70192959","displayToPublicDate":"2015-06-02T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Characterization of rock samples and mineralogical controls on leachates","docAbstract":"Rocks associated with coal beds typically include shale, sandstone, and (or) limestone. In addition to common rock-forming minerals, all of these rock types may contain sulfide and sulfate minerals, various carbonate minerals, and organic material. These different minerals have inherently different solubility characteristics, as well as different acid-generating or acid-neutralizing potentials. The abundance and composition of sulfur- and carbonate-bearing minerals are of particular interest in interpreting the leaching column data because (1) pyrite and carbonate minerals are the primary controls on the acid-base account of a sample, (2) these minerals incorporate trace metals that can be released during weathering, and (3) these minerals readily react during weathering due to mineral dissolution and oxidation of iron.
Rock samples were collected by the Pennsylvania Department of Environmental Protection (PaDEP) from five different sites to assess the draft standardized leaching column method (ADTI-WP2) for the prediction of weathering rates and water quality at coal mines. Samples were sent to USGS laboratories for mineralogical characterization and to ActLabs for chemical analysis. The samples represent a variety of rock types (shales, sandstones, and coal refuse) that are typical of coal overburden in the eastern United States. These particular samples were chosen for testing the weathering protocols because they represent a range of geochemical and lithologic characteristics, sulfur contents, and acid-base accounting characteristics (Hornberger et al., 2003). The rocks contain variable amounts of pyrite and carbonate minerals and vary in texture.
This chapter includes bulk rock chemical data and detailed mineralogical and textural data for unweathered starting materials used in the interlaboratory validation study, and for two samples used in the early phases of leaching column tests (Wadesville Sandstone, Leechburg Coal Refuse). We also characterize some of the post-weathering rock samples, report trace-element content in leachate, and discuss mineralogical controls on leachate quality based on data from one of the participating laboratories. Table 5.1 lists the samples described in this chapter, the sample numbers, and comments on the characteristics of each lithology. Sample locations are plotted in Figure 5.1. Chapters 2 and 3 describe the sample locations, sample preparation protocols, ABA characteristics, and rationale for selection of rock samples for testing. Microprobe data for pyrite and carbonate minerals are tabulated in Appendix 5.1. Leachate data, along with a series of graphs showing concentration and cumulative transport trends, for the laboratory data discussed in this chapter are included as Excel spreadsheets in Appendices 5.2 and 5.3. Leach column data for the interlaboratory study are evaluated and interpreted in Chapters 7 -11.
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The Vollenweider (1969) mixed-reactor lake model was rearranged and used to calculate Vs values for total phosphorus (TP) for three lakes treated with alum to reduce the internal flux of P to the water column (Delavan Lake, Wisconsin; Lake Morey, Vermont; and West Twin Lake, Ohio). An analysis of Vs values was conducted using data from these three lakes for both the pre- and post-alum treated conditions. Analysis of Vs values for both the pre- and post-alum conditions in Lake Morey and West Twin Lake resulted in a post-treatment mean Vs value of 7 ± 2.0 m·yr−1. The effect of the alum treatment, although short-lived in Delavan Lake, resulted in a mean post-treatment Vs value of 3.4 ± 0.3 m·yr−1. The consistency in the post-treatment Vs values in Lake Morey and West Twin Lake is used to demonstrate a predictive analysis method for water column TP concentrations in lakes following a successful treatment of the anoxic sediment area with alum. Additional pre- and post-alum in-lake and watershed loading data are needed to advance this concept into a management model.
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\"}}]}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56027bbee4b03bc34f54482c","contributors":{"authors":[{"text":"Panuska, John","contributorId":31025,"corporation":false,"usgs":false,"family":"Panuska","given":"John","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":572948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":572949,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157397,"text":"70157397 - 2009 - Rehabilitation of Delavan Lake, Wisconsin","interactions":[],"lastModifiedDate":"2018-02-06T12:35:53","indexId":"70157397","displayToPublicDate":"2015-05-04T16:15:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Rehabilitation of Delavan Lake, Wisconsin","docAbstract":"A comprehensive rehabilitation plan was developed and implemented to shift Delavan Lake, Wisconsin, from a hypereutrophic to a mesotrophic condition. The plan was threefold: (1) reduce external phosphorus (P) loading by applying Best Management Practices in the watershed, enhance an existing wetland, and short-circuit the inflows through the lake, (2) reduce internal P loading by treating the sediments with alum and removing carp, and (3) rehabilitate the fishery by removing carp and bigmouth buffalo and adding piscivores (biomanipulation). The first and second parts of the plan met with only limited success. With only minor reductions in internal and external P loading, P concentrations in the lake returned to near pre-treatment concentrations. The intensive biomanipulation and resulting trophic cascade (increased piscivores, decreased planktivores, increased large zooplankton populations, and reduced phytoplankton populations) eliminated most of the original problems in the lake (blue-green algal blooms and limited water clarity). However, now there is extensive macrophyte growth and abundant filamentous algae. Without significantly reducing the sources of the problems (high P loading) in Delavan Lake, the increased water clarity may not last. With an improved understanding of the individual components of this rehabilitation program, better future management plans can be developed for Delavan Lake and other lakes and reservoirs with similar eutrophication problems.
","language":"English","publisher":"The North American Lake Management Society","doi":"10.1080/07438140009353961","usgsCitation":"Robertson, D.M., Goddard, G.L., Helsel, D., and MacKinnon, K.L., 2009, Rehabilitation of Delavan Lake, Wisconsin: Lake and Reservoir Management, v. 16, no. 3, p. 155-176, https://doi.org/10.1080/07438140009353961.","productDescription":"22 p.","startPage":"155","endPage":"176","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":475966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/07438140009353961","text":"Publisher Index Page"},{"id":308382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Delavan Lake, Elkhorn, Jackson Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.69880676269531,\n 42.59454359788448\n ],\n [\n -88.64593505859375,\n 42.55839115400449\n ],\n [\n -88.61331939697266,\n 42.54195129663955\n ],\n [\n -88.55512619018555,\n 42.5739418016264\n ],\n [\n -88.5171890258789,\n 42.60023001112722\n ],\n [\n -88.47513198852539,\n 42.61943361476022\n ],\n [\n -88.4651756286621,\n 42.62423359056032\n ],\n [\n -88.44732284545898,\n 42.633200974757294\n ],\n [\n -88.4425163269043,\n 42.64002037386321\n ],\n [\n -88.45865249633789,\n 42.679406713370305\n ],\n [\n -88.49349975585938,\n 42.69543182848484\n ],\n [\n -88.52182388305664,\n 42.69517949650704\n ],\n [\n -88.56542587280273,\n 42.66640693046163\n ],\n [\n -88.5856819152832,\n 42.66628070564928\n ],\n [\n -88.60198974609375,\n 42.65883298807084\n ],\n [\n -88.62653732299805,\n 42.63307468254104\n ],\n [\n -88.65108489990234,\n 42.61059058539327\n ],\n [\n -88.68558883666992,\n 42.606042252773435\n ],\n [\n -88.69880676269531,\n 42.59454359788448\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-01-23","publicationStatus":"PW","scienceBaseUri":"56027c29e4b03bc34f544882","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":572997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goddard, Gerald L.","contributorId":35721,"corporation":false,"usgs":true,"family":"Goddard","given":"Gerald","email":"","middleInitial":"L.","affiliations":[{"id":676,"text":"Wisconsin Water Resource Division","active":false,"usgs":true}],"preferred":false,"id":572998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helsel, D.R.","contributorId":57448,"corporation":false,"usgs":false,"family":"Helsel","given":"D.R.","email":"","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":572999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacKinnon, Kevin L.","contributorId":147859,"corporation":false,"usgs":false,"family":"MacKinnon","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573000,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}