{"pageNumber":"771","pageRowStart":"19250","pageSize":"25","recordCount":68924,"records":[{"id":9000501,"text":"ofr20101209 - 2010 - Potentiometric Surface of the Patuxent Aquifer in Southern Maryland, September 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:14","indexId":"ofr20101209","displayToPublicDate":"2010-12-07T00:00:00","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":"2010-1209","title":"Potentiometric Surface of the Patuxent Aquifer in Southern Maryland, September 2009","docAbstract":"This report presents a map showing the potentiometric surface of the Patuxent aquifer in the Patuxent Formation of Early Cretaceous age in Southern Maryland during September 2009. The map is based on water-level measurements in 42 wells. The highest measured water level was 169 feet above sea level in the outcrop area of the aquifer in northern Prince George's County. From this area, the potentiometric surface declined south towards well fields at Glen Burnie, Bryans Road, the Morgantown power plant, and the Chalk Point power plant. The measured groundwater levels were 78 feet below sea level at Glen Burnie, 56 feet below sea level at Bryans Road, 29 feet below sea level at the Morgantown power plant, and 28 feet below sea level at the Chalk Point power plant. The map also shows well yield in gallons per day for 2008 at wells or well fields.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101209","collaboration":"Prepared in cooperation with the Maryland Geological Survey and the\r\nMaryland Department of Natural Resources","usgsCitation":"Curtin, S.E., Andreasen, D., and Staley, A., 2010, Potentiometric Surface of the Patuxent Aquifer in Southern Maryland, September 2009: U.S. Geological Survey Open-File Report 2010-1209, Map; 1 Sheet , https://doi.org/10.3133/ofr20101209.","productDescription":"Map; 1 Sheet ","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-09-01","temporalEnd":"2009-09-30","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":126170,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1209.gif"},{"id":14387,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1209/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.41666666666667,38.1175 ], [ -77.41666666666667,39.5 ], [ -75.83333333333333,39.5 ], [ -75.83333333333333,38.1175 ], [ -77.41666666666667,38.1175 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad4e4b07f02db683205","contributors":{"authors":[{"text":"Curtin, Stephen E. securtin@usgs.gov","contributorId":3703,"corporation":false,"usgs":true,"family":"Curtin","given":"Stephen","email":"securtin@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andreasen, David C.","contributorId":59003,"corporation":false,"usgs":true,"family":"Andreasen","given":"David C.","affiliations":[],"preferred":false,"id":344138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staley, Andrew W.","contributorId":43319,"corporation":false,"usgs":true,"family":"Staley","given":"Andrew W.","affiliations":[],"preferred":false,"id":344137,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":9000497,"text":"ofr20101203 - 2010 - Potentiometric Surface of the Magothy Aquifer in Southern Maryland, September 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"ofr20101203","displayToPublicDate":"2010-12-07T00:00:00","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":"2010-1203","title":"Potentiometric Surface of the Magothy Aquifer in Southern Maryland, September 2009","docAbstract":"This report presents a map showing the potentiometric surface of the Magothy aquifer in the Magothy Formation of Late Cretaceous age in Southern Maryland during September 2009. The map is based on water-level measurements in 66 wells. The highest measured water level was 85 feet above sea level near the northern boundary and outcrop area of the aquifer in the north-central part of Anne Arundel County. The potentiometric surface declined towards the south. Local hydraulic gradients were directed toward the center of a cone of depression in the Waldorf area that developed in response to pumping. Measured groundwater levels were as low as 71 feet below sea level in the Waldorf area. The map also shows well yield in gallons per day for 2008 at wells or well fields.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101203","collaboration":"Prepared in cooperation with the Maryland Gological Survey (MGS) and the Power Plant Assessment Program, Maryland Department of Natural Resources","usgsCitation":"Curtin, S.E., Andreasen, D., and Staley, A., 2010, Potentiometric Surface of the Magothy Aquifer in Southern Maryland, September 2009: U.S. Geological Survey Open-File Report 2010-1203, Map; 1 Sheet; 8.50 x 11.00 inches, https://doi.org/10.3133/ofr20101203.","productDescription":"Map; 1 Sheet; 8.50 x 11.00 inches","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":116240,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1203.bmp"},{"id":14430,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1203/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.5,38 ], [ -77.5,39.5 ], [ -75.75,39.5 ], [ -75.75,38 ], [ -77.5,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bfdc","contributors":{"authors":[{"text":"Curtin, Stephen E. securtin@usgs.gov","contributorId":3703,"corporation":false,"usgs":true,"family":"Curtin","given":"Stephen","email":"securtin@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andreasen, David C.","contributorId":59003,"corporation":false,"usgs":true,"family":"Andreasen","given":"David C.","affiliations":[],"preferred":false,"id":344129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staley, Andrew W.","contributorId":43319,"corporation":false,"usgs":true,"family":"Staley","given":"Andrew W.","affiliations":[],"preferred":false,"id":344128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":9000495,"text":"sir20105162 - 2010 - Occurrence and Distribution of Organic Wastewater Compounds in Rock Creek Park, Washington, D.C., 2007-08","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"sir20105162","displayToPublicDate":"2010-12-06T00:00:00","publicationYear":"2010","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":"2010-5162","title":"Occurrence and Distribution of Organic Wastewater Compounds in Rock Creek Park, Washington, D.C., 2007-08","docAbstract":"The U.S. Geological Survey, and the National Park Service Police Aviation Group, conducted a high-resolution, low-altitude aerial thermal infrared survey of the Washington, D.C. section of Rock Creek Basin within the Park boundaries to identify specific locations where warm water was discharging from seeps or pipes to the creek. Twenty-three stream sites in Rock Creek Park were selected based on the thermal infrared images. Sites were sampled during the summers of 2007 and 2008 for the analysis of organic wastewater compounds to verify potential sources of sewage and other anthropogenic wastewater. Two sets of stormwater samples were collected, on June 27-28 and September 6, 2008, at the Rock Creek at Joyce Road water-quality station using an automated sampler that began sampling when a specified stage threshold value was exceeded. Passive-sampler devices that accumulate organic chemicals over the duration of deployment were placed in July 2008 at the five locations that had the greatest number of detections of organic wastewater compounds from the June 2007 base-flow sampling. During the 2007 base-flow synoptic sampling, there were ubiquitous low-level detections of dissolved organic wastewater indicator compounds such as DEET, caffeine, HHCB, and organophosphate flame retardants at more than half of the 23 sites sampled in Rock Creek Park. Concentrations of DEET and caffeine in the tributaries to Rock Creek were variable, but in the main stem of Rock Creek, the concentrations were constant throughout the length of the creek, which likely reflects a distributed source. Organophosphate flame retardants in the main stem of Rock Creek were detected at estimated concentrations of 0.2 micrograms per liter or less, and generally did not increase with distance downstream. Overall, concentrations of most wastewater indicators in whole-water samples in the Park were similar to the concentrations found at the upstream sampling station at the Maryland/District of Columbia boundary. Polycyclic aromatic hydrocarbons were the dominant organic compounds found in the stormwater samples at the Joyce Road station. Polycyclic aromatic hydrocarbons were consistently found in higher concentrations either in sediment or in whole-water samples than in the dissolved samples collected during base-flow conditions at the 23 synoptic sites, or in the Joyce Road station stormwater samples.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105162","usgsCitation":"Phelan, D.J., and Miller, C.V., 2010, Occurrence and Distribution of Organic Wastewater Compounds in Rock Creek Park, Washington, D.C., 2007-08: U.S. Geological Survey Scientific Investigations Report 2010-5162, vi, 44 p.; Appendices; 8 1/2 by 11 printed book; online, https://doi.org/10.3133/sir20105162.","productDescription":"vi, 44 p.; Appendices; 8 1/2 by 11 printed book; online","numberOfPages":"68","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-06-01","temporalEnd":"2008-08-31","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":126111,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5162.gif"},{"id":19169,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5162/","linkFileType":{"id":5,"text":"html"}}],"scale":"500000","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.33333333333333,38 ], [ -77.33333333333333,39.5 ], [ -76,39.5 ], [ -76,38 ], [ -77.33333333333333,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db6963a3","contributors":{"authors":[{"text":"Phelan, Daniel J.","contributorId":51716,"corporation":false,"usgs":true,"family":"Phelan","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":344123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Cherie V. 0000-0001-7765-5919 cvmiller@usgs.gov","orcid":"https://orcid.org/0000-0001-7765-5919","contributorId":863,"corporation":false,"usgs":true,"family":"Miller","given":"Cherie","email":"cvmiller@usgs.gov","middleInitial":"V.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":344122,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9000494,"text":"sir20105170 - 2010 - Estimation of selected streamflow statistics for a network of low-flow partial-record stations in areas affected by Base Realignment and Closure (BRAC) in Maryland","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105170","displayToPublicDate":"2010-12-06T00:00:00","publicationYear":"2010","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":"2010-5170","title":"Estimation of selected streamflow statistics for a network of low-flow partial-record stations in areas affected by Base Realignment and Closure (BRAC) in Maryland","docAbstract":"The U.S. Geological Survey, in cooperation with the Maryland Department of the Environment, operated a network of 20 low-flow partial-record stations during 2008 in a region that extends from southwest of Baltimore to the northeastern corner of Maryland to obtain estimates of selected streamflow statistics at the station locations. The study area is expected to face a substantial influx of new residents and businesses as a result of military and civilian personnel transfers associated with the Federal Base Realignment and Closure Act of 2005. The estimated streamflow statistics, which include monthly 85-percent duration flows, the 10-year recurrence-interval minimum base flow, and the 7-day, 10-year low flow, are needed to provide a better understanding of the availability of water resources in the area to be affected by base-realignment activities. Streamflow measurements collected for this study at the low-flow partial-record stations and measurements collected previously for 8 of the 20 stations were related to concurrent daily flows at nearby index streamgages to estimate the streamflow statistics. Three methods were used to estimate the streamflow statistics and two methods were used to select the index streamgages. Of the three methods used to estimate the streamflow statistics, two of them--the Moments and MOVE1 methods--rely on correlating the streamflow measurements at the low-flow partial-record stations with concurrent streamflows at nearby, hydrologically similar index streamgages to determine the estimates. These methods, recommended for use by the U.S. Geological Survey, generally require about 10 streamflow measurements at the low-flow partial-record station. The third method transfers the streamflow statistics from the index streamgage to the partial-record station based on the average of the ratios of the measured streamflows at the partial-record station to the concurrent streamflows at the index streamgage. This method can be used with as few as one pair of streamflow measurements made on a single streamflow recession at the low-flow partial-record station, although additional pairs of measurements will increase the accuracy of the estimates. Errors associated with the two correlation methods generally were lower than the errors associated with the flow-ratio method, but the advantages of the flow-ratio method are that it can produce reasonably accurate estimates from streamflow measurements much faster and at lower cost than estimates obtained using the correlation methods. The two index-streamgage selection methods were (1) selection based on the highest correlation coefficient between the low-flow partial-record station and the index streamgages, and (2) selection based on Euclidean distance, where the Euclidean distance was computed as a function of geographic proximity and the basin characteristics: drainage area, percentage of forested area, percentage of impervious area, and the base-flow recession time constant, t. Method 1 generally selected index streamgages that were significantly closer to the low-flow partial-record stations than method 2. The errors associated with the estimated streamflow statistics generally were lower for method 1 than for method 2, but the differences were not statistically significant. The flow-ratio method for estimating streamflow statistics at low-flow partial-record stations was shown to be independent from the two correlation-based estimation methods. As a result, final estimates were determined for eight low-flow partial-record stations by weighting estimates from the flow-ratio method with estimates from one of the two correlation methods according to the respective variances of the estimates. Average standard errors of estimate for the final estimates ranged from 90.0 to 7.0 percent, with an average value of 26.5 percent. Average standard errors of estimate for the weighted estimates were, on average, 4.3 percent less than the best average standard errors of estima","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105170","collaboration":"Prepared in cooperation with the\r\nMaryland Department of the Environment","usgsCitation":"Ries, K., and Eng, K., 2010, Estimation of selected streamflow statistics for a network of low-flow partial-record stations in areas affected by Base Realignment and Closure (BRAC) in Maryland: U.S. Geological Survey Scientific Investigations Report 2010-5170, v, 40 p.; 8 1/2 by 11 printed book; online, https://doi.org/10.3133/sir20105170.","productDescription":"v, 40 p.; 8 1/2 by 11 printed book; online","numberOfPages":"40","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2009-06-30","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":126110,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5170.gif"},{"id":19168,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5170/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","projection":"Transverse Mercator Projection","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.5,38.666666666666664 ], [ -77.5,39.833333333333336 ], [ -75.41666666666667,39.833333333333336 ], [ -75.41666666666667,38.666666666666664 ], [ -77.5,38.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb1f3","contributors":{"authors":[{"text":"Ries, Kernell G. III kries@usgs.gov","contributorId":1913,"corporation":false,"usgs":true,"family":"Ries","given":"Kernell G.","suffix":"III","email":"kries@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":344120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken","contributorId":89480,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","affiliations":[],"preferred":false,"id":344121,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98914,"text":"fs20103068 - 2010 - Occurrence of Escherichia coli in the Cuyahoga River in the Cuyahoga Valley National Park, Ohio","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"fs20103068","displayToPublicDate":"2010-12-04T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3068","title":"Occurrence of Escherichia coli in the Cuyahoga River in the Cuyahoga Valley National Park, Ohio","docAbstract":"There are several measures of the 'cleanliness' of a natural body of water, including concentrations of indicator bacteria, anthropogenic chemicals (chemicals derived from human activities), and nutrients, such as nitrogen and phosphorous. Escherichia coli (E. coli) is a bacterium that lives in the intestinal tract of warm-blooded animals, such as humans, deer, cows, and dogs. Most strains of E. coli are not harmful and are in fact beneficial to humans by aiding in the digestive process. A few strains, such as the O157 strain, produce toxins that can cause gastrointestinal illness, but occurrence of toxic strains in the environment is not common. E. coli is considered a good indicator bacterium because its occurrence in the environment indicates the presence of fecal contamination and therefore the possible presence of pathogenic organisms associated with feces.  The U.S. Environmental Protection Agency (USEPA) recommends using measurements of E. coli to monitor freshwaters and set criteria for the concentration of bacteria that can be present in the water with minimal adverse human-health effects. Typically, a State's waters are assigned a recreational-use designation, such as bathing, primary-contact, or secondary contact waters, which is used to set the State's water-quality standards based on the USEPA criteria. The Cuyahoga River in the Cuyahoga Valley National Park is designated for primary-contact recreation; therefore, when concentrations of E. coli exceed 298 CFU/100mL, the river would be considered potentially unsafe for recreation.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103068","usgsCitation":"Brady, A., and Plona, M.B., 2010, Occurrence of Escherichia coli in the Cuyahoga River in the Cuyahoga Valley National Park, Ohio: U.S. Geological Survey Fact Sheet 2010-3068, 4 p., https://doi.org/10.3133/fs20103068.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":126026,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3068.bmp"},{"id":14335,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3068/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.66666666666667,41.083333333333336 ], [ -81.66666666666667,41.416666666666664 ], [ -81.5,41.416666666666664 ], [ -81.5,41.083333333333336 ], [ -81.66666666666667,41.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db696080","contributors":{"authors":[{"text":"Brady, Amie M. G.","contributorId":29774,"corporation":false,"usgs":true,"family":"Brady","given":"Amie M. G.","affiliations":[],"preferred":false,"id":306927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plona, Meg B.","contributorId":46470,"corporation":false,"usgs":true,"family":"Plona","given":"Meg","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":306928,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98913,"text":"fs20103104 - 2010 - Quantifying effects of climate change on the snowmelt-dominated groundwater resources of northern New England","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"fs20103104","displayToPublicDate":"2010-12-04T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3104","title":"Quantifying effects of climate change on the snowmelt-dominated groundwater resources of northern New England","docAbstract":"Recent U.S. Geological Survey (USGS) climate studies in New England have shown substantial evidence of hydrologic changes during the last 100 years, including trends toward earlier snowmelt runoff, decreasing occurrence of river ice, and decreasing winter snowpack. These studies are being expanded to include investigation of trends in groundwater levels and fluctuations. Groundwater is an important drinking-water source throughout northern New England (Maine, New Hampshire, and Vermont). The USGS is currently investigating whether or not groundwater recharge from snowmelt and precipitation exhibits historical trends. In addition to trend-testing, groundwater resources also will be analyzed by relating groundwater-level changes to the large year-to-year variability in weather conditions.\r\n\r\nIntroduction\r\n\r\nThe USGS has documented many seasonal climate-related changes in the northeastern United States that have occurred during the last 30 to 150 years. These changes include earlier snowmelt runoff in the late winter and early spring, decreasing duration of ice on rivers and lakes, decreasing ratio of snowfall to total precipitation, and denser and thinner late-winter snowpack. All of these changes are consistent with warming winter and spring air temperatures (Dudley and Hodgkins, 2002; Hodgkins and others, 2002; Huntington and others, 2004; Hodgkins and others, 2005; Hodgkins and Dudley, 2006a; Hodgkins and Dudley, 2006b). Climate-model projections for the Northeast indicate air-temperature warming, earlier snowmelt runoff, increases in annual evaporation, and decreased low streamflows (Hayhoe and others, 2007).\r\n\r\nThe contribution and timing of spring snowmelt to groundwater recharge is particularly important to groundwater resources in the northeastern United States where aquifers typically consist of thin sediments overlying crystalline bedrock with relatively little storage capacity (Mack, 2009). Following spring recharge, groundwater slowly flows into streams throughout the summer. This groundwater flow is a source of cool water during the summer and accounts for a large proportion of the streamflow during summer low-flow periods.\r\n\r\nGroundwater is an important drinking-water source in northern New England. Approximately 32 percent of public water suppliers draw water from groundwater sources in Vermont, New Hampshire, and Maine, and approximately 40 percent of the population derives its drinking water from private wells (Kenny and others, 2009). It is vital to understand changes that may be occurring to such an important resource for planning industrial and agricultural water uses and protecting drinking water. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103104","usgsCitation":"Dudley, R.W., Hodgkins, G.A., Shanley, J.B., and Mack, T.J., 2010, Quantifying effects of climate change on the snowmelt-dominated groundwater resources of northern New England: U.S. Geological Survey Fact Sheet 2010-3104, 4 p., https://doi.org/10.3133/fs20103104.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":126025,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3104.bmp"},{"id":14334,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3104/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a86e4b07f02db64dba5","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306925,"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":306924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, Thomas J. 0000-0002-0496-3918 tjmack@usgs.gov","orcid":"https://orcid.org/0000-0002-0496-3918","contributorId":1677,"corporation":false,"usgs":true,"family":"Mack","given":"Thomas","email":"tjmack@usgs.gov","middleInitial":"J.","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":306923,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98910,"text":"sir20105192 - 2010 - Water quality (2000-08) and historical phosphorus concentrations from paleolimnological studies of Swamp and Speckled Trout Lakes, Grand Portage Reservation, northeastern Minnesota","interactions":[],"lastModifiedDate":"2012-03-08T17:16:12","indexId":"sir20105192","displayToPublicDate":"2010-12-03T00:00:00","publicationYear":"2010","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":"2010-5192","title":"Water quality (2000-08) and historical phosphorus concentrations from paleolimnological studies of Swamp and Speckled Trout Lakes, Grand Portage Reservation, northeastern Minnesota","docAbstract":"A paleolimnological approach was taken to aid the Grand Portage Reservation, in northeastern Minnesota, in determining reference conditions for lakes on the reservation. The U.S. Geological Survey, in cooperation with the Grand Portage Band of Chippewa Indians and the Science Museum of Minnesota, conducted a study to describe water quality (2000-08) and historical total phosphorus concentrations (approximately 1781-2006) for Swamp and Speckled Trout Lakes. Results from this study may be used as a guide in establishing nutrient criteria in these and other lakes on the Grand Portage Reservation.\r\n\r\nHistorical phosphorus concentrations were inferred through paleolimnological reconstruction methods involving diatom analysis and lead-210 dating of lake-sediment cores. Historical diatom-inferred total phosphorus concentrations in Swamp Lake ranged from 0.017 to 0.025 milligrams per liter (mg/L) based on diatom assemblages in sediment samples dated 1781-2005. Historical diatom-inferred total phosphorus concentrations in Speckled Trout Lake ranged from 0.008 to 0.014 mg/L based on diatom assemblages in sediment samples dated 1825-2006. In both lakes, historical changes in diatom-inferred total phosphorus concentrations did not exceed model error estimates, indicating that there has been minimal change in total phosphorus concentrations in the two lakes over about two centuries.\r\n\r\nNutrient concentrations in monthly water samples collected May through October during 2000, 2002, 2004, 2006, and 2008 were compared to the diatom-inferred total phosphorus concentrations. Total phosphorus concentrations from water samples collected from Swamp Lake during 2000-08 ranged from less than 0.002 to 0.160 mg/L (median= 0.023 mg/L) compared to diatom-inferred total phosphorus concentrations of 0.018 to 0.020 mg/L for 2002 to 2005. Total phosphorus concentrations in water samples collected from Speckled Trout Lake during 2000-08 were similar to those of Swamp Lake, ranging from less than 0.002 to 0.147 mg/L (median=0.012 mg/L), whereas the diatom-inferred total phosphorus concentrations were smaller, ranging from 0.009 to 0.010 mg/L for 2003 to 2006. Differences in total phosphorus concentrations between the two lakes may be because of differences in watershed characteristics, particularly the number of wetlands in the two watersheds. Similarities between recent total phosphorus concentrations in water-quality samples and diatom-inferred total phosphorus indicate that diatom-inferred phosphorus reconstructions might be used to help establish reference conditions. Nutrient criteria for Grand Portage Reservation lakes may be established when a sampling program is designed to ensure representative phosphorus concentrations in water samples are comparable to diatom-inferred concentrations.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105192","collaboration":"Prepared in cooperation with the Grand Portage Band of Chippewa Indians and the Science Museum of Minnesota","usgsCitation":"Christensen, V.G., Jones, P.M., Edlund, M.B., and Ramstack, J.M., 2010, Water quality (2000-08) and historical phosphorus concentrations from paleolimnological studies of Swamp and Speckled Trout Lakes, Grand Portage Reservation, northeastern Minnesota: U.S. Geological Survey Scientific Investigations Report 2010-5192, viii, 17 p.; Appendices, https://doi.org/10.3133/sir20105192.","productDescription":"viii, 17 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":126023,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5192.bmp"},{"id":14330,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5192/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.86749999999999,47.86666666666667 ], [ -89.86749999999999,48.03333333333333 ], [ 89.5,48.03333333333333 ], [ 89.5,47.86666666666667 ], [ -89.86749999999999,47.86666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5f9cc6","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Perry M. 0000-0002-6569-5144 pmjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6569-5144","contributorId":2231,"corporation":false,"usgs":true,"family":"Jones","given":"Perry","email":"pmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edlund, Mark B.","contributorId":104335,"corporation":false,"usgs":true,"family":"Edlund","given":"Mark","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":306920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramstack, Joy M.","contributorId":74238,"corporation":false,"usgs":true,"family":"Ramstack","given":"Joy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":306919,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98911,"text":"fs20103114 - 2010 - Drought Monitoring with VegDRI","interactions":[],"lastModifiedDate":"2012-02-02T00:04:07","indexId":"fs20103114","displayToPublicDate":"2010-12-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3114","title":"Drought Monitoring with VegDRI","docAbstract":"Drought strikes somewhere in the United States every year, turning green landscapes brown as precipitation falls below normal levels and water supplies dwindle. Drought is typically a temporary climatic aberration, but it is also an insidious natural hazard. It might last for weeks, months, or years and may have many negative effects. Drought can threaten crops, livestock, and livelihoods, stress wildlife and habitats, and increase wildfire risks and threats to human health.\r\n\r\nDrought conditions can vary tremendously from place to place and week to week. Accurate drought monitoring is essential to understand a drought's progression and potential effects, and to provide information necessary to support drought mitigation decisions. It is also crucial in light of climate change where droughts could become more frequent, severe, and persistent.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103114","collaboration":"Prepared in cooperation with the National Drought Mitigation Center, University of Nebraska, Lincoln","usgsCitation":"Brown, J., 2010, Drought Monitoring with VegDRI: U.S. Geological Survey Fact Sheet 2010-3114, 2 p., https://doi.org/10.3133/fs20103114.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":126738,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3114.bmp"},{"id":14331,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3114/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62ae12","contributors":{"authors":[{"text":"Brown, Jesslyn F. 0000-0002-9976-1998","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":85123,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":306921,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98912,"text":"sir20105210 - 2010 - Groundwater-flow assessment of the Mississippi River Valley alluvial aquifer of northeastern Arkansas","interactions":[],"lastModifiedDate":"2012-02-10T00:10:04","indexId":"sir20105210","displayToPublicDate":"2010-12-03T00:00:00","publicationYear":"2010","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":"2010-5210","title":"Groundwater-flow assessment of the Mississippi River Valley alluvial aquifer of northeastern Arkansas","docAbstract":"The Mississippi River Valley alluvial aquifer is a water-bearing assemblage of gravels and sands that underlies about 32,000 square miles of Arkansas, Kentucky, Louisiana, Mississippi, Missouri, and Tennessee. Pumping of groundwater from the alluvial aquifer for agriculture started in the early 1900s in the Grand Prairie area for the irrigation of rice and soybeans. From 1965 to 2005, water use in the alluvial aquifer increased 655 percent. In 2005, 6,242 million gallons per day of water were pumped from the aquifer, primarily for irrigation and fish farming. Water-level declines in the alluvial aquifer were documented as early as 1927. Long-term water-level measurements in the alluvial aquifer show an average annual decline of 1 foot per year in some areas.\r\n\r\nIn this report, the utility of the updated 2009 MODFLOW groundwater-flow model of the alluvial aquifer in northeastern Arkansas was extended by performing groundwater-flow assessments of the alluvial aquifer at specific areas of interest using a variety of methods. One such area is along the western side of Crowleys Ridge, which includes western parts of Clay, Greene, Craighead, Poinsett, Cross, St. Francis, and Lee Counties. This area was designated as the Cache Critical Groundwater Area by the Arkansas Natural Resources Commission in 2009 for the alluvial and Sparta/Memphis aquifers, because of the rate of change in groundwater levels and groundwater levels have dropped below half the original saturated thickness of the alluvial aquifer.\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105210","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission","usgsCitation":"Czarnecki, J.B., 2010, Groundwater-flow assessment of the Mississippi River Valley alluvial aquifer of northeastern Arkansas: U.S. Geological Survey Scientific Investigations Report 2010-5210, v, 33 p.; Downloads: Scenario Information; Scenario 1; Scenario 2; Scenario 3, https://doi.org/10.3133/sir20105210.","productDescription":"v, 33 p.; Downloads: Scenario Information; Scenario 1; Scenario 2; Scenario 3","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":126022,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5210.bmp"},{"id":14333,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5210/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.25,33.75 ], [ -92.25,37 ], [ -89.75,37 ], [ -89.75,33.75 ], [ -92.25,33.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a91e4b07f02db656cbe","contributors":{"authors":[{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":306922,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9000493,"text":"fs20103111 - 2010 - Southeast Ecological Science Center","interactions":[],"lastModifiedDate":"2012-02-02T00:04:46","indexId":"fs20103111","displayToPublicDate":"2010-12-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3111","title":"Southeast Ecological Science Center","docAbstract":"Aquatic ecosystems, from deep sea reefs and coastal marshes to freshwater springs and wetlands, are home to diverse assemblages of life. These commercially and ecologically important systems are part of our national heritage, and are often treasured places or refuges that protect rare or threatened species. In the water-rich Southeastern United States, managers face the challenge of understanding how water and land use affect the region's aquatic life. The Southeast Ecological Science Center (SESC) helps address that challenge by providing objective science that can be used to evaluate proposed actions and develop management strategies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103111","usgsCitation":"Pawlitz, R.J., 2010, Southeast Ecological Science Center: U.S. Geological Survey Fact Sheet 2010-3111, 2 p., https://doi.org/10.3133/fs20103111.","productDescription":"2 p.","numberOfPages":"2","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":126081,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3111.jpg"},{"id":19167,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2010/3111/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e73d4","contributors":{"authors":[{"text":"Pawlitz, Rachel J. rpawlitz@usgs.gov","contributorId":4251,"corporation":false,"usgs":true,"family":"Pawlitz","given":"Rachel","email":"rpawlitz@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":344119,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9000489,"text":"sir20105187 - 2010 - Thunderstorms and flooding of August 17, 2007, with a context provided by a history of other large storm and flood events in the Black Hills area of South Dakota","interactions":[],"lastModifiedDate":"2017-10-14T11:54:34","indexId":"sir20105187","displayToPublicDate":"2010-12-02T00:00:00","publicationYear":"2010","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":"2010-5187","title":"Thunderstorms and flooding of August 17, 2007, with a context provided by a history of other large storm and flood events in the Black Hills area of South Dakota","docAbstract":"The Black Hills area of western South Dakota has a history of damaging flash floods that have resulted primarily from exceptionally strong rain-producing thunderstorms. The best known example is the catastrophic storm system of June 9-10, 1972, which caused severe flooding in several major drainages near Rapid City and resulted in 238 deaths. More recently, severe thunderstorms caused flash flooding near Piedmont and Hermosa on August 17, 2007. Obtaining a thorough understanding of peak-flow characteristics for low-probability floods will require a comprehensive long-term approach involving (1) documentation of scientific information for extreme events such as these; (2) long-term collection of systematic peak-flow records; and (3) regional assessments of a wide variety of peak-flow information. To that end, the U.S. Geological Survey cooperated with the South Dakota Department of Transportation and National Weather Service to produce this report, which provides documentation regarding the August 17, 2007, storm and associated flooding and provides a context through examination of other large storm and flood events in the Black Hills area. The area affected by the August 17, 2007, storms and associated flooding generally was within the area affected by the larger storm of June 9-10, 1972. The maximum observed 2007 precipitation totals of between 10.00 and 10.50 inches occurred within about 2-3 hours in a small area about 5 miles west of Hermosa. The maximum documented precipitation amount in 1972 was 15.0 inches, and precipitation totals of 10.0 inches or more were documented for 34 locations within an area of about 76 square miles. A peak flow of less than 1 cubic foot per second occurred upstream from the 2007 storm extent for streamflow-gaging station 06404000 (Battle Creek near Keystone); whereas, the 1972 peak flow of 26,200 cubic feet per second was large, relative to the drainage area of only 58.6 square miles. Farther downstream along Battle Creek, a 2007 flow of 26,000 cubic feet per second was generated entirely within an intervening drainage area of only 44.4 square miles. An especially large flow of 44,100 cubic feet per second was documented for this location in 1972. The 2007 peak flow of 18,600 cubic feet per second for Battle Creek at Hermosa (station 06406000) was only slightly smaller than the 1972 peak flow of 21,400 cubic feet per second. Peak-flow values from 2007 for three sites with small drainage areas (less than 1.0 square mile) plot close to a regional envelope curve, indicating exceptionally large flow values, relative to drainage area. Physiographic factors that affect flooding in the area were examined. The limestone headwater hydrogeologic setting (within and near the Limestone Plateau area on the western flank of the Black Hills) has distinctively suppressed peak-flow characteristics for small recurrence intervals. Uncertainty is large, however, regarding characteristics for large recurrence intervals (low-probability floods) because of a dearth of information regarding the potential for generation of exceptionally strong rain-producing thunderstorms. In contrast, the greatest potential for exceptionally damaging floods is around the flanks of the rest of the Black Hills area because of steep topography and limited potential for attenuation of flood peaks in narrow canyons. Climatological factors that affect area flooding also were examined. Area thunderstorms are largely terrain-driven, especially with respect to their requisite upward motion, which can be initiated by orographic lifting effects, thermally enhanced circulations, and obstacle effects. Several other meteorological processes are influential in the development of especially heavy precipitation for the area, including storm cell training, storm anchoring or regeneration, storm mergers, supercell development, and weak upper-level air flow. A composite of storm total precipitation amounts for 13 recent individual storm events indicates","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105187","collaboration":"Prepared in cooperation with the South Dakota Department of Transportation and the National Weather Service","usgsCitation":"Driscoll, D.G., Bunkers, M.J., Carter, J.M., Stamm, J., and Williamson, J., 2010, Thunderstorms and flooding of August 17, 2007, with a context provided by a history of other large storm and flood events in the Black Hills area of South Dakota: U.S. Geological Survey Scientific Investigations Report 2010-5187, viii, 140 p., https://doi.org/10.3133/sir20105187.","productDescription":"viii, 140 p.","numberOfPages":"139","additionalOnlineFiles":"N","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":126024,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5187.bmp"},{"id":19166,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5187/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Dakota","otherGeospatial":"Black Hills","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.5,43.25 ], [ -104.5,45 ], [ -102,45 ], [ -102,43.25 ], [ -104.5,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b88f","contributors":{"authors":[{"text":"Driscoll, Daniel G. dgdrisco@usgs.gov","contributorId":1558,"corporation":false,"usgs":true,"family":"Driscoll","given":"Daniel","email":"dgdrisco@usgs.gov","middleInitial":"G.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunkers, Matthew J.","contributorId":73149,"corporation":false,"usgs":true,"family":"Bunkers","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":344118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Janet M. 0000-0002-6376-3473 jmcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-6376-3473","contributorId":339,"corporation":false,"usgs":true,"family":"Carter","given":"Janet","email":"jmcarter@usgs.gov","middleInitial":"M.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":2859,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","email":"jstamm@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williamson, Joyce E. jewillia@usgs.gov","contributorId":1964,"corporation":false,"usgs":true,"family":"Williamson","given":"Joyce E.","email":"jewillia@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344116,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98906,"text":"fs20103108 - 2010 - Possible effects of groundwater pumping on surface water in the Verde Valley, Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"fs20103108","displayToPublicDate":"2010-12-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3108","title":"Possible effects of groundwater pumping on surface water in the Verde Valley, Arizona","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with The Nature Conservancy, has applied a groundwater model to simulate effects of groundwater pumping and artificial recharge on surface water in the Verde Valley sub-basin of Arizona. Results are in two sets of maps that show effects of locations of pumping or recharge on streamflow. These maps will help managers make decisions that will meet water needs and minimize environmental impacts. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103108","collaboration":"In cooperation with The Nature Conservancy","usgsCitation":"Leake, S.A., and Haney, J., 2010, Possible effects of groundwater pumping on surface water in the Verde Valley, Arizona: U.S. Geological Survey Fact Sheet 2010-3108, 4 p., https://doi.org/10.3133/fs20103108.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":126143,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3108.gif"},{"id":14325,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3108/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,34 ], [ -114,35.5 ], [ -110,35.5 ], [ -110,34 ], [ -114,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db683b7b","contributors":{"authors":[{"text":"Leake, Stanley A. 0000-0003-3568-2542 saleake@usgs.gov","orcid":"https://orcid.org/0000-0003-3568-2542","contributorId":1846,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley","email":"saleake@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, Jeanmarie","contributorId":13192,"corporation":false,"usgs":true,"family":"Haney","given":"Jeanmarie","email":"","affiliations":[],"preferred":false,"id":306904,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98907,"text":"sir20105129 - 2010 - Geochemical evolution processes and water-quality observations based on results of the National Water-Quality Assessment Program in the San Antonio segment of the Edwards aquifer, Texas, 1996-2006","interactions":[],"lastModifiedDate":"2022-01-07T20:17:48.457498","indexId":"sir20105129","displayToPublicDate":"2010-12-02T00:00:00","publicationYear":"2010","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":"2010-5129","title":"Geochemical evolution processes and water-quality observations based on results of the National Water-Quality Assessment Program in the San Antonio segment of the Edwards aquifer, Texas, 1996-2006","docAbstract":"<p>As part of the National Water-Quality Assessment Program, the U.S. Geological Survey collected and analyzed groundwater samples during 1996-2006 from the San Antonio segment of the Edwards aquifer of central Texas, a productive karst aquifer developed in Cretaceous-age carbonate rocks. These National Water-Quality Assessment Program studies provide an extensive dataset of groundwater geochemistry and water quality, consisting of 249 groundwater samples collected from 136 sites (wells and springs), including (1) wells completed in the shallow, unconfined, and urbanized part of the aquifer in the vicinity of San Antonio (shallow/urban unconfined category), (2) wells completed in the unconfined (outcrop area) part of the regional aquifer (unconfined category), and (3) wells completed in and springs discharging from the confined part of the regional aquifer (confined category). This report evaluates these data to assess geochemical evolution processes, including local- and regional-scale processes controlling groundwater geochemistry, and to make water-quality observations pertaining to sources and distribution of natural constituents and anthropogenic contaminants, the relation between geochemistry and hydrologic conditions, and groundwater age tracers and travel time. Implications for monitoring water-quality trends in karst are also discussed. Geochemical and isotopic data are useful tracers of recharge, groundwater flow, fluid mixing, and water-rock interaction processes that affect water quality. Sources of dissolved constituents to Edwards aquifer groundwater include dissolution of and geochemical interaction with overlying soils and calcite and dolomite minerals that compose the aquifer. Geochemical tracers such as magnesium to calcium and strontium to calcium ratios and strontium isotope compositions are used to evaluate and constrain progressive fluid-evolution processes. Molar ratios of magnesium to calcium and strontium to calcium in groundwater typically increase along flow paths; results for samples of Edwards aquifer groundwater show an increase from shallow/urban unconfined, to unconfined, to confined groundwater categories. These differences are consistent with longer residence times and greater extents of water-rock interaction controlling fluid compositions as groundwater evolves from shallow unconfined groundwater to deeper confined groundwater. Results for stable isotopes of hydrogen and oxygen indicate specific geochemical processes affect some groundwater samples, including mixing with downdip saline water, mixing with recent recharge associated with tropical cyclonic storms, or mixing with recharge water than has undergone evaporation. The composition of surface water recharging the aquifer, as well as mixing with downdip water from the Trinity aquifer or the saline zone, also might affect water quality. A time-series record (1938-2006) of discharge at Comal Springs, one of the major aquifer discharge points, indicates an upward trend for nitrate and chloride concentrations, which likely reflects anthropogenic activities. A small number of organic contaminants were routinely or frequently detected in Edwards aquifer groundwater samples. These were the pesticides atrazine, its degradate deethylatrazine, and simazine; the drinking-water disinfection byproduct chloroform; and the solvent tetrachloroethene. Detection of these contaminants was most frequent in samples of the shallow/urban unconfined groundwater category and least frequent in samples of the unconfined groundwater category. Results indicate that the shallow/urban unconfined part of the aquifer is most affected by anthropogenic contaminants and the unconfined part of the aquifer is the least affected. The high frequency of detection for these anthropogenic contaminants aquifer-wide and in samples of deep, confined groundwater indicates that the entire aquifer is susceptible to water-quality changes as a result of anthropogenic activities. L</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105129","usgsCitation":"Musgrove, M., Fahlquist, L., Houston, N.A., Lindgren, R.J., and Ging, P.B., 2010, Geochemical evolution processes and water-quality observations based on results of the National Water-Quality Assessment Program in the San Antonio segment of the Edwards aquifer, Texas, 1996-2006: U.S. Geological Survey Scientific Investigations Report 2010-5129, xi, 93 p., https://doi.org/10.3133/sir20105129.","productDescription":"xi, 93 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1996-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":126144,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5129.png"},{"id":14326,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5129/","linkFileType":{"id":5,"text":"html"}},{"id":394053,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94624.htm"}],"country":"United States","state":"Texas","otherGeospatial":"San Antonio segment of Edwards aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.4375,\n              29\n            ],\n            [\n              -97.66667,\n              29\n            ],\n            [\n              -97.6667,\n              30.3\n            ],\n            [\n              -100.4375,\n              30.3\n            ],\n            [\n              -100.4375,\n              29\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db697f08","contributors":{"authors":[{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":306909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fahlquist, Lynne","contributorId":8810,"corporation":false,"usgs":true,"family":"Fahlquist","given":"Lynne","affiliations":[],"preferred":false,"id":306908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houston, Natalie A. 0000-0002-6071-4545 nhouston@usgs.gov","orcid":"https://orcid.org/0000-0002-6071-4545","contributorId":1682,"corporation":false,"usgs":true,"family":"Houston","given":"Natalie","email":"nhouston@usgs.gov","middleInitial":"A.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindgren, Richard J. lindgren@usgs.gov","contributorId":1667,"corporation":false,"usgs":true,"family":"Lindgren","given":"Richard","email":"lindgren@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":306905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ging, Patricia B. 0000-0001-5491-8448 pbging@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-8448","contributorId":1788,"corporation":false,"usgs":true,"family":"Ging","given":"Patricia","email":"pbging@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306907,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98909,"text":"sir20105240 - 2010 - Channel-conveyance capacity, channel change, and sediment transport in the lower Puyallup, White, and Carbon Rivers, western Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105240","displayToPublicDate":"2010-12-02T00:00:00","publicationYear":"2010","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":"2010-5240","title":"Channel-conveyance capacity, channel change, and sediment transport in the lower Puyallup, White, and Carbon Rivers, western Washington","docAbstract":"Draining the volcanic, glaciated terrain of Mount Rainier, Washington, the Puyallup, White, and Carbon Rivers convey copious volumes of water and sediment down to Commencement Bay in Puget Sound. Recent flooding in the lowland river system has renewed interest in understanding sediment transport and its effects on flow conveyance throughout the lower drainage basin. Bathymetric and topographic data for 156 cross sections were surveyed in the lower Puyallup River system by the U.S. Geological Survey (USGS) and were compared with similar datasets collected in 1984. Regions of significant aggradation were measured along the Puyallup and White Rivers. Between 1984 and 2009, aggradation totals as measured by changes in average channel elevation were as much as 7.5, 6.5, and 2 feet on the Puyallup, White, and Carbon Rivers, respectively. These aggrading river sections correlated with decreasing slopes in riverbeds where the rivers exit relatively confined sections in the upper drainage and enter the relatively unconstricted valleys of the low-gradient Puget Lowland. Measured grain-size distributions from each riverbed showed a progressive fining downstream.\r\n\r\nAnalysis of stage-discharge relations at streamflow-gaging stations along rivers draining Mount Rainier demonstrated the dynamic nature of channel morphology on river courses influenced by glaciated, volcanic terrain. The greatest rates of aggradation since the 1980s were in the Nisqually River near National (5.0 inches per year) and the White River near Auburn (1.8 inches per year). Less pronounced aggradation was measured on the Puyallup River and the White River just downstream of Mud Mountain Dam. The largest measured rate of incision was measured in the Cowlitz River at Packwood (5.0 inches per year).\r\n\r\nChannel-conveyance capacity estimated using a one-dimensional hydraulic model decreased in some river reaches since 1984. The reach exhibiting the largest decrease (about 20-50 percent) in channel-conveyance capacity was the White River between R Street Bridge and the Lake Tapps return, a reach affected by recent flooding. Conveyance capacity also decreased in sections of the Puyallup River. Conveyance capacity was mostly unchanged along other study reaches. Bedload transport was simulated throughout the entire river network and consistent with other observations and analyses, the hydraulic model showed that the upper Puyallup and White Rivers tended to accumulate sediment. Accuracy of the bedload-transport modeling, however, was limited due to a scarcity of sediment-transport data sets from the Puyallup system, mantling of sand over cobbles in the lower Puyallup and White Rivers, and overall uncertainty in modeling sediment transport in gravel-bedded rivers. Consequently, the output results from the model were treated as more qualitative in value, useful in comparing geomorphic trends within different river reaches, but not accurate in producing precise predictions of mass of sediment moved or deposited.\r\n\r\nThe hydraulic model and the bedload-transport component were useful for analyzing proposed river-management options, if surveyed cross sections adequately represented the river-management site and proposed management options. The hydraulic model showed that setback levees would provide greater flood protection than gravel-bar scalping after the initial project construction and for some time thereafter, although the model was not accurate enough to quantify the length of time of the flood protection.  The greatest hydraulic benefit from setback levees would be a substantial increase in the effective channel-conveyance area. By widening the distance between levees, the new floodplain would accommodate larger increases in discharge with relatively small incremental increases in stage. Model simulation results indicate that the hydraulic benefit from a setback levee also would be long-lived and would effectively compensate for increased deposition within the setback reach","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105240","collaboration":"Prepared in cooperation with Pierce County Public Works and Utilities, Surface Water Managment","usgsCitation":"Czuba, J., Czuba, C.R., Magirl, C.S., and Voss, F.D., 2010, Channel-conveyance capacity, channel change, and sediment transport in the lower Puyallup, White, and Carbon Rivers, western Washington: U.S. Geological Survey Scientific Investigations Report 2010-5240, xii, 85 p.; Appendices; Data Files: 2009 Bed Material Grain Size Distributions; 2009 USGS Cross Sections; 2010 USGS Additional Sumner Cross Sections, https://doi.org/10.3133/sir20105240.","productDescription":"xii, 85 p.; Appendices; Data Files: 2009 Bed Material Grain Size Distributions; 2009 USGS Cross Sections; 2010 USGS Additional Sumner Cross Sections","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":126142,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5240.bmp"},{"id":14328,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5240/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,46.666666666666664 ], [ -122.5,47.333333333333336 ], [ -121.33333333333333,47.333333333333336 ], [ -121.33333333333333,46.666666666666664 ], [ -122.5,46.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e4e4b07f02db5e629a","contributors":{"authors":[{"text":"Czuba, Jonathan A.","contributorId":19917,"corporation":false,"usgs":true,"family":"Czuba","given":"Jonathan A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magirl, Chistopher S.","contributorId":92213,"corporation":false,"usgs":true,"family":"Magirl","given":"Chistopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":306916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, Frank D. fdvoss@usgs.gov","contributorId":1651,"corporation":false,"usgs":true,"family":"Voss","given":"Frank","email":"fdvoss@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306913,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70154929,"text":"70154929 - 2010 - Summer microhabitat use by adult and young-of-year snail darters (Percina tanasi) in two rivers","interactions":[],"lastModifiedDate":"2021-03-16T18:08:55.860634","indexId":"70154929","displayToPublicDate":"2010-12-01T13:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Summer microhabitat use by adult and young-of-year snail darters (<i>Percina tanasi</i>) in two rivers","title":"Summer microhabitat use by adult and young-of-year snail darters (Percina tanasi) in two rivers","docAbstract":"<p><span>We characterised microhabitat availability and use by adult and young‐of‐year (YOY) snail darters (</span><i>Percina tanasi </i><span><a id=\"#b6R\" class=\"bibLink tab-link\" href=\"https://onlinelibrary.wiley.com/doi/full/10.1111/j.1600-0633.2010.00442.x#b6\" data-tab=\"pane-pcw-references\" data-mce-href=\"https://onlinelibrary.wiley.com/doi/full/10.1111/j.1600-0633.2010.00442.x#b6\">Etnier 1976</a></span><span>) while snorkelling in the French Broad and Hiwassee rivers, TN, USA. Both age groups of snail darters disproportionately used most microhabitat variables compared to their availability. Snail darters primarily occupied moderately deep, swift water over gravel substrates with little macrophyte coverage and no silt. Univariate comparisons indicated that adult and YOY darters occupied different habitat, but there was no marked differences between principal components analysis plots of multivariate microhabitat use within a river. Although the availability of microhabitat variables differed between the French Broad and Hiwassee rivers, univariate means and multivariate plots illustrated that the habitats used were generally similar by age groups of snail darters between rivers. Because our observations of habitat availability and use were constrained to low flow periods and depths &lt;1 m, the transferability of our results to higher flow periods may be limited. However, the similarity in habitat use between rivers suggests that our results can be applied to low‐normal flow conditions in other streams.</span></p>","language":"English","publisher":"Wiley","publisherLocation":"Copenhagen","doi":"10.1111/j.1600-0633.2010.00442.x","usgsCitation":"Ashton, M.J., and Layzer, J.B., 2010, Summer microhabitat use by adult and young-of-year snail darters (Percina tanasi) in two rivers: Ecology of Freshwater Fish, v. 19, no. 4, p. 609-617, https://doi.org/10.1111/j.1600-0633.2010.00442.x.","productDescription":"9 p.","startPage":"609","endPage":"617","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019539","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-11-11","publicationStatus":"PW","scienceBaseUri":"55aa2740e4b0183d66e47e9f","contributors":{"authors":[{"text":"Ashton, M. J.","contributorId":24206,"corporation":false,"usgs":false,"family":"Ashton","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":565012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Layzer, James B. jim_layzer@usgs.gov","contributorId":1917,"corporation":false,"usgs":true,"family":"Layzer","given":"James","email":"jim_layzer@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":564375,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70236320,"text":"70236320 - 2010 - Seasonal ice and hydrologic controls on dissolved organic carbon and nitrogen concentrations in a boreal-rich fen","interactions":[],"lastModifiedDate":"2022-09-01T16:42:32.726099","indexId":"70236320","displayToPublicDate":"2010-12-01T11:42:18","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal ice and hydrologic controls on dissolved organic carbon and nitrogen concentrations in a boreal-rich fen","docAbstract":"<p>[1] Boreal wetland carbon cycling is vulnerable to climate change in part because hydrology and the extent of frozen ground have strong influences on plant and microbial functions. We examined the response of dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) across an experimental manipulation of water table position (both raised and lowered water table treatments) in a boreal-rich fen in interior Alaska. DOC and TDN responses to water table manipulation exhibited an interaction with seasonal ice dynamics. We observed consistently higher DOC and TDN concentrations in the lowered water table treatment (71.7 ± 6.5 and 3.0 ± 0.3 mg−L) than in both the control (55.6 ± 5.1 and 2.3 ± 0.2 mg−L) and raised (49.1 ± 4.3 and 1.9 ± 0.1 mg L−1, respectively) water table treatments. Across all plots, pore water DOC concentrations at 20 cm increased as the depth to water table increased (R2 = 0.43, p &lt; 0.001). DOC concentrations also increased as the seasonal thaw depth increased, with solutes increasing most rapidly in the drained plot (R2 = 0.62, p &lt; 0.001). About half of the TDN pool was composed of dissolved organic N (DON). Inorganic N and DON were both highly correlated with changes in DOC, and their respective constraints to mineralization are discussed. These results demonstrate that a declining water table position and dryer conditions affect thaw depth and peat temperatures, and interactions among these ecosystem properties will likely increase DOC and TDN loading and potential for export in these systems.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JG001366","usgsCitation":"Kane, E.S., Turetsky, M.R., Harden, J.W., McGuire, A.D., and Waddington, J.M., 2010, Seasonal ice and hydrologic controls on dissolved organic carbon and nitrogen concentrations in a boreal-rich fen: Journal of Geophysical Research G: Biogeosciences, v. 115, no. G4, G04012, 15 p., https://doi.org/10.1029/2010JG001366.","productDescription":"G04012, 15 p.","costCenters":[],"links":[{"id":475636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jg001366","text":"Publisher Index Page"},{"id":406075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Peatland Experiment, Bonanza Creek Experimental Forest, Tanana Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -147.3204803466797,\n              64.71831979769435\n            ],\n            [\n              -147.2995376586914,\n              64.69822506859181\n            ],\n            [\n              -147.23567962646484,\n              64.65960723743939\n            ],\n            [\n              -147.1127700805664,\n              64.6706255344161\n            ],\n            [\n              -147.1402359008789,\n              64.70218652380355\n            ],\n            [\n              -147.16976165771484,\n              64.71084102073965\n            ],\n            [\n              -147.20993041992188,\n              64.7181731748711\n            ],\n            [\n              -147.2380828857422,\n              64.7213986934753\n            ],\n            [\n              -147.26726531982422,\n              64.72975393054311\n            ],\n            [\n              -147.3204803466797,\n              64.71831979769435\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"115","issue":"G4","noUsgsAuthors":false,"publicationDate":"2010-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Kane, Evan S.","contributorId":11903,"corporation":false,"usgs":true,"family":"Kane","given":"Evan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":850600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turetsky, Merritt R.","contributorId":80980,"corporation":false,"usgs":true,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":850601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":850602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":850603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waddington, James Michael","contributorId":89774,"corporation":false,"usgs":true,"family":"Waddington","given":"James","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":850604,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70123980,"text":"70123980 - 2010 - A river system to watch: documenting the effects of saltcedar (<i>Tamarix</i> spp.) biocontrol in the Virgin River valley","interactions":[],"lastModifiedDate":"2014-09-11T10:53:31","indexId":"70123980","displayToPublicDate":"2010-12-01T10:36:06","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1462,"text":"Ecological Restoration","active":true,"publicationSubtype":{"id":10}},"title":"A river system to watch: documenting the effects of saltcedar (<i>Tamarix</i> spp.) biocontrol in the Virgin River valley","docAbstract":"<p>Throughout riparian areas of the southwestern United States, non-native saltcedar (also known as tamarisk; <i>Tamarix</i> spp.) can form dense, monotypic stands and is often reported to have detrimental effects on native plants and habitat quality (Everitt 1980; Shafroth et al. 2005). Natural resource managers of these riparian areas spend considerable time and resources controlling saltcedar using a variety of techniques, including chemical (Duncan and McDaniel 1998), mechanical, and burning methods (Shafroth et al. 2005). Approximately one billion dollars are spent each year on river restoration projects nationally (Bernhardt et al. 2005), and a majority of these projects focus on invasive species control in the Southwest (Follstad Shah et al. 2007).</p>\n<br/>\n<p>A technique that has drawn much attention is the use of the saltcedar leaf beetle (<i>Diorhabda</i> spp.), a specialist herbivore, as biological control of saltcedar (Lewis et al. 2003). Research testing was conducted with beetles housed in secure enclosures in six states in 1998 and 1999 (Dudley et al. 2001), followed by open release at some of those sites starting in 2001 (DeLoach et al. 2004). By 2005, full-scale saltcedar biocontrol was implemented in 13 states, led by the USDA Animal and Plant Health Inspection Service (APHIS), the agency that oversees biological control programs, and with the participation and support of the U.S. Fish and Wildlife Service (USFWS). Despite the widespread application of <i>Diorhabda</i>, however, only limited research has quantified the consequences (benefits and costs) on biotic communities and ecosystem services. Alterations to riparian areas caused by various non-native species control activities have the potential to affect a variety of habitat types used by wildlife (Bateman et al. 2008a); processes like water availability, fluvial deposition, and erosion; and the establishment of other non-native species (Carruthers and D'Antonio 2005, Shafroth et al. 2005, DeLoach et al. 2006). Similarly, biocontrol is expected to modify riparian ecosystems, and it is imperative to document and evaluate both the environmental benefits and the potential costs of this tamarisk management method.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Restoration","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of Wisconsin Press","publisherLocation":"Madison, WI","doi":"10.3368/er.28.4.405","usgsCitation":"Bateman, H.L., Dudley, T.L., Bean, D., Ostoja, S.M., Hultine, K.R., and Kuehn, M.J., 2010, A river system to watch: documenting the effects of saltcedar (<i>Tamarix</i> spp.) biocontrol in the Virgin River valley: Ecological Restoration, v. 28, no. 4, p. 405-410, https://doi.org/10.3368/er.28.4.405.","productDescription":"6 p.","startPage":"405","endPage":"410","numberOfPages":"6","ipdsId":"IP-022978","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293665,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3368/er.28.4.405"}],"country":"United States","otherGeospatial":"Virgin River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.151,35.9865 ], [ -115.151,37.4919 ], [ -112.4484,37.4919 ], [ -112.4484,35.9865 ], [ -115.151,35.9865 ] ] ] } } ] }","volume":"28","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-11-15","publicationStatus":"PW","scienceBaseUri":"5412b99be4b0239f1986b9fd","contributors":{"authors":[{"text":"Bateman, Heather L.","contributorId":72294,"corporation":false,"usgs":true,"family":"Bateman","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":500506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Tom L.","contributorId":59730,"corporation":false,"usgs":true,"family":"Dudley","given":"Tom","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":500505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bean, Dan W.","contributorId":58133,"corporation":false,"usgs":true,"family":"Bean","given":"Dan W.","affiliations":[],"preferred":false,"id":500504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ostoja, Steven M. sostoja@usgs.gov","contributorId":3039,"corporation":false,"usgs":true,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":33665,"text":"USDA California Climate Hub, UC Davis","active":true,"usgs":false}],"preferred":false,"id":500501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hultine, Kevin R. 0000-0001-9747-6037","orcid":"https://orcid.org/0000-0001-9747-6037","contributorId":23772,"corporation":false,"usgs":true,"family":"Hultine","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":500502,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuehn, Michael J.","contributorId":32095,"corporation":false,"usgs":true,"family":"Kuehn","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":500503,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70148155,"text":"70148155 - 2010 - Parental attendance and brood success in American Oystercatchers in South Carolina","interactions":[],"lastModifiedDate":"2015-05-27T11:37:09","indexId":"70148155","displayToPublicDate":"2010-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Parental attendance and brood success in American Oystercatchers in South Carolina","docAbstract":"<p><span>Research on breeding American Oystercatchers has focused on identifying factors that affect reproductive success but little attention has been paid to parent behavior during chick-rearing. Parental attendance of American Oystercatchers was measured in Bulls Bay and along the Atlantic Intracoastal Waterway (Waterway) within the Cape Romain Region, South Carolina, USA, during 2006. Parental attendance rates averaged 90.9% in Bulls Bay and 81.4% along the Waterway. Daily survival of chicks was higher in Bulls Bay (0.989 &plusmn; 0.007) compared to the Waterway (0.966 &plusmn; 0.012). The extent of shellfish reefs (i.e. foraging areas) adjacent to nest sites was greater in Bulls Bay (5,633 &plusmn; 658 m</span><sup>2</sup><span>) compared to the Waterway (3,273 &plusmn; 850 m</span><sup>2</sup><span>). Mean parental attendance in Bulls Bay was higher for successful broods (90.5%) compared to failed broods (79.8%). In contrast, mean parental attendance along the Waterway was higher for failed broods (93.4%) compared to successful broods (67.5%). Less extensive shellfish reefs adjacent to nest sites along the Waterway appeared to require parents to depart more frequently to forage and the resultant reduction in attendance may have negatively affected chick survival. Bulls Bay may provide higher quality nesting habitat compared to the Waterway with respect to proximity to food resources and parental attendance. Management and conservation efforts for American Oystercatchers should consider the relationship between foraging and nesting habitat and variability in behavioral attributes, such as parental attendance, in relationship to environmental conditions which ultimately affect reproductive success.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.033.0410","collaboration":"National Fish and Wildlife Foundation; South Carolina Department of Natural Resources; Department of Forestry of Natural Resources at Clemson University; USGS South Carolina Cooperative Fish and Wildlife Research Unit; Clemson University; U.S. Fish and Wildlife Service; U.S. Geological Survey","usgsCitation":"Thibault, J.M., Sanders, F.J., and Jodice, P.G., 2010, Parental attendance and brood success in American Oystercatchers in South Carolina: Waterbirds, v. 33, no. 4, p. 511-517, https://doi.org/10.1675/063.033.0410.","productDescription":"7 p.","startPage":"511","endPage":"517","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012871","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Bulls Bay, Atlantic Intracoastal Waterway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.51492309570312,\n              33.05989594347124\n            ],\n            [\n              -79.45140838623047,\n              33.0083755876936\n            ],\n            [\n              -79.63096618652344,\n              32.87036022808355\n            ],\n            [\n              -79.68006134033203,\n              32.928877377911114\n            ],\n            [\n              -79.57019805908203,\n              33.042917702091046\n            ],\n            [\n              -79.51492309570312,\n              33.05989594347124\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566eadfe4b0d9246a9ec2f9","contributors":{"authors":[{"text":"Thibault, Janet M.","contributorId":140932,"corporation":false,"usgs":false,"family":"Thibault","given":"Janet","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":547745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders, Felicia J.","contributorId":56574,"corporation":false,"usgs":false,"family":"Sanders","given":"Felicia","email":"","middleInitial":"J.","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":547746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":547497,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231351,"text":"ofr20101126 - 2010 - Distribution of the non-native gastropod Melanoides tuberculatus in Biscayne National Park, Florida","interactions":[],"lastModifiedDate":"2025-04-11T13:39:55.689436","indexId":"ofr20101126","displayToPublicDate":"2010-12-01T00:00:00","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":"2010-1126","displayTitle":"Distribution of the Non-Native Gastropod <i>Melanoides tuberculatus</i> in Biscayne National Park, Florida","title":"Distribution of the non-native gastropod Melanoides tuberculatus in Biscayne National Park, Florida","docAbstract":"<h1>Introduction &nbsp;</h1><p><i>Melanoides tuberculatus</i> (fig. 1), a gastropod that is not native to South Florida, was identified in Biscayne National Park (BNP) while researchers from the U.S. Geological Survey were conducting other studies around the Black Point canals in the summer of 2003. A study to determine the distribution, genetics, and salinity tolerance of this freshwater species began in 2004. For park managers and the recreational users of BNP, the presence of <i>Melanoides tuberculatus</i> is cause for concern because it is the intermediate host for several trematode parasites that affect humans and animals in multiple ways:</p><ol><li><i><strong>Human health concerns</strong></i> include parasites (trematode worms) that affect the lung (Paragonimus westermani) and the liver (<i>Clonorchis sinensis</i>, and <i>Opisthorchis sp.</i>). Skin irritations and lesions can also be caused by trematodes that normally infect other species.</li><li><i><strong>Animal health concerns</strong></i> include parasites that affect the eyes of waterfowl (<i>Philophthalmus megalurus</i>), a trematode that burrows into the cartilage of fish and can lead to death (<i>Centrocestus formosanus</i>), and a trematode that infects the muscle tissue of fish and causes multiple abnormalities (<i>Haplorchis sp.</i>). When parasite-infected fish or crustaceans are eaten by birds or mammals, the next stage of the life cycle is in place (fig. 2).</li><li><i><strong>Native snail species concerns</strong></i> include the potential displacement of invertebrate species that make up the natural nearshore benthic communities in BNP. <i>M. tuberculatus</i> has very high reproductive rates, reproduces via parthenogenesis, and is live bearing, factors which increase the survivability of the offspring and increase competition for limited resources.</li></ol><p>These snails are considered to be freshwater animals in their native habitat of Southeast Asia. However, they have been collected in BNP in both estuarine and marine waters along the western margins of BNP and, as far as 1.7 kilometers (km) from shore at the Black Point canal inflow into Biscayne Bay (383 live per square meter (/m<sup>2</sup> ). In BNP, M. tuberculatus is a benthic inhabitant grazing on micro algal components at the sediment surface. A documented population with as many as 23,000/m<sup>2</sup> was observed at Snapper Creek, near Coral Gables, FL (Roessler and others, 1977), north of BNP.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101126","usgsCitation":"Murray, J.B., Wingard, G.L., and Phillips, E.C., 2010, Distribution of the non-native astropod melanoides tuberculatus in Biscayne National Park Florida: U.S. Geological Survey Open-File Report 2010-1126, 18 p.","productDescription":"7 p.","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":400292,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2010/1126/coverthb.jpg"},{"id":400293,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1126/ofr20101126.pdf","text":"Report","size":"6.61 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2010-1126"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.4167,\n              25.5833\n            ],\n            [\n              -80.4167,\n              25.4167\n            ],\n            [\n              -80.25,\n              25.4167\n            ],\n            [\n              -80.25,\n              25.5833\n            ],\n            [\n              -80.4167,\n              25.5833\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>3321 College Avenue<br>Davie, FL 33314</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishedDate":"2010-12-01","noUsgsAuthors":false,"publicationDate":"2010-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Murray, James B. jbmurray@usgs.gov","contributorId":2065,"corporation":false,"usgs":true,"family":"Murray","given":"James","email":"jbmurray@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":842360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":842361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phillips, Emily C.","contributorId":65189,"corporation":false,"usgs":true,"family":"Phillips","given":"Emily","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":842362,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192514,"text":"70192514 - 2010 - Colonial nesting Yellow-crowned Night Herons on the San Antonio River Walk","interactions":[],"lastModifiedDate":"2017-11-28T14:24:21","indexId":"70192514","displayToPublicDate":"2010-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1137,"text":"Bulletin of the Texas Ornithological Society","active":true,"publicationSubtype":{"id":10}},"title":"Colonial nesting Yellow-crowned Night Herons on the San Antonio River Walk","docAbstract":"<p>Yellow-crowned Night Herons (Nyctinassa violacea) typically nest as single pairs or in small colonies of about four pairs with high internest distances. They are also reported as susceptible to disturbance and to avoid habitat with high human use. However, some Yellowcrowned Night Herons habituate to human-dominated landscapes and nest in residential areas. I located a colony of nesting Yellow-crowned Night Herons in San Antonio, Texas on the River Walk, a popular tourist destination with an estimated 2.5 million visitors annually. I located 68 and 71 active nests in 2008 and 2009, respectively. This suggests the breeding population of the colony was 142 adult birds (77 adult herons/linear km of River Walk) in 2009. Herons occurred in a colony with three nesting aggregations situated 241 (±14 SD) m apart. Aggregations averaged 23.7 (±8.7 SD) nests each with one–nine nests per tree; nest trees within each aggregation were usually adjacent. Nests averaged 16.7 m (±4.1 SD) above ground, with 56% of nests over the river, 23% over sidewalks, 17% over dining areas, and 3% over landscaping. Only bald cypress (Taxodium distichum) was used for nest trees, and these were significantly taller and larger in diameter than random bald cypress trees. The herons were habituated to pedestrian activities, often perching only a few meters over sidewalks or dining areas, and foraging along the water’s edge as pedestrians passed within 4–5 m. Nests located over dining areas and sidewalks do impose some management issues. It is apparent the species is capable of habituating to human activities to exploit suitable urban settings for nesting and foraging habitat.</p>","language":"English","publisher":"Texas Ornithological Society","usgsCitation":"Boal, C.W., 2010, Colonial nesting Yellow-crowned Night Herons on the San Antonio River Walk: Bulletin of the Texas Ornithological Society, v. 43, p. 45-48.","productDescription":"4 p.","startPage":"45","endPage":"48","ipdsId":"IP-016297","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349480,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.texasbirds.org/publications.php"}],"country":"United States","state":"Texas","city":"San Antonio","volume":"43","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610aaae4b06e28e9c256c0","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716114,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70160818,"text":"70160818 - 2010 - A generalized watershed disturbance-invertebrate relation applicable in a range of environmental settings across the continental United States","interactions":[],"lastModifiedDate":"2015-12-31T11:33:00","indexId":"70160818","displayToPublicDate":"2010-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"A generalized watershed disturbance-invertebrate relation applicable in a range of environmental settings across the continental United States","docAbstract":"<p>It is widely recognized that urbanization can affect ecological conditions in aquatic systems; numerous studies have identified impervious surface cover as an indicator of urban intensity and as an index of development at the watershed, regional, and national scale. Watershed percent imperviousness, a commonly understood urban metric was used as the basis for a generalized watershed disturbance metric that, when applied in conjunction with weighted percent agriculture and percent grassland, predicted stream biotic conditions based on Ephemeroptera, Plecoptera, and Trichoptera (EPT) richness across a wide range of environmental settings. Data were collected in streams that encompassed a wide range of watershed area (4.4-1,714 km), precipitation (38-204 cm/yr), and elevation (31-2,024 m) conditions. Nevertheless the simple 3-landcover disturbance metric accounted for 58% of the variability in EPT richness based on the 261 nationwide sites. On the metropolitan area scale, relationship r ranged from 0.04 to 0.74. At disturbance values 15. Future work may incorporate watershed management practices within the disturbance metric, further increasing the management applicability of the relation. Such relations developed on a regional or metropolitan area scale are likely to be stronger than geographically generalized models; as found in these EPT richness relations. However, broad spatial models are able to provide much needed understanding in unmonitored areas and provide initial guidance for stream potential.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11252-010-0131-x","usgsCitation":"Steuer, J.J., 2010, A generalized watershed disturbance-invertebrate relation applicable in a range of environmental settings across the continental United States: Urban Ecosystems, v. 13, no. 4, p. 415-424, https://doi.org/10.1007/s11252-010-0131-x.","productDescription":"10 p.","startPage":"415","endPage":"424","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016463","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":313131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313116,"type":{"id":15,"text":"Index 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,{"id":98903,"text":"ofr20101234 - 2010 - Water-quality data from storm runoff after the 2007 fires, San Diego County, California","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ofr20101234","displayToPublicDate":"2010-12-01T00:00:00","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":"2010-1234","title":"Water-quality data from storm runoff after the 2007 fires, San Diego County, California","docAbstract":"The U.S. Geological Survey collected water-quality samples during the first two storms after the Witch and Harris Fires (October 2007) in southern California. The sampling locations represent an urban area (two residential sites in Rancho Bernardo that were affected by the Witch Fire; a drainage ditch and a storm drain) and a rural area (Cotton-wood Creek, which was downstream of a mobile home park destroyed by the Harris Fire). \r\n\r\nFires produce ash and solid residues that contain soluble chemicals that can contaminant runoff. The contaminants, whether sorbed to soil and ash or dissolved, can seriously affect the quality of water supplies and sensitive ecosystems. \r\n\r\nStormflow water samples were analyzed for field parameters, optical properties, and for a variety of constituents, including nutrients, dissolved organic carbon (DOC), suspended sediment, and metals. \r\n\r\npH values for storm runoff from the urban areas (7.6 to 8.5) were less than pH values for ash and burned soil from previous studies (12.5 to 13). pH values for storm runoff from the rural area (about 7.7) also were less than pH values for ash and burned soil collected from the rural area (8.6 to 11.8), but were similar to pH values for wildland burned soil from previous studies. Turbidity values were much lower for the urban area than for the rural area. \r\n\r\nNitrate concentrations in stormflow samples from all sites were less than a quarter of the U.S. Environmental Protection Agency's (2006) maximum allowable contaminant level of 10 milligrams per liter (mg/L) (as nitrogen). Phosphorus concentrations were half as much in filtered samples and two orders of magnitude smaller in unfiltered samples at the urban sites than at the rural site. DOC concentrations in stormflow samples were one order of magnitude lower at the urban sites than at the rural site. Ultraviolet (UV) absorbance at 254 nanometers (UV254) in samples ranged from 0.145 to 0.782 per centimeter (cm-1). UV-absorbance data at the urban sites indicate that the composition of DOC remained similar during both storms even though the DOC concentration changed.\r\n\r\nTotal suspended-sediment concentrations ranged from 0.01 to 0.24 mg/L at the urban area, and were 12 and 45 mg/L at the rural area. Trace metals analyzed in unfiltered water samples had lower concentrations in the urban area than in the rural area. No concentrations of arsenic or mercury measured in the samples were above aquatic-life criteria. In the urban area, most concentrations of aluminum, iron, and lead exceeded aquatic-life criteria. In the rural area, aluminum, cadmium, iron, lead, and zinc exceeded aquatic-life criteria. Concentrations of aluminum and iron were two orders of magnitude larger in the rural area than in the urban area. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101234","usgsCitation":"Mendez, G.O., 2010, Water-quality data from storm runoff after the 2007 fires, San Diego County, California: U.S. Geological Survey Open-File Report 2010-1234, 8 p., https://doi.org/10.3133/ofr20101234.","productDescription":"8 p.","additionalOnlineFiles":"N","temporalStart":"2007-11-30","temporalEnd":"2010-12-07","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":126130,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1234.jpg"},{"id":14322,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1234/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e56e8","contributors":{"authors":[{"text":"Mendez, Gregory O. 0000-0002-9955-3726 gomendez@usgs.gov","orcid":"https://orcid.org/0000-0002-9955-3726","contributorId":1489,"corporation":false,"usgs":true,"family":"Mendez","given":"Gregory","email":"gomendez@usgs.gov","middleInitial":"O.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306894,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98901,"text":"sir20095269 - 2010 - Quality of stormwater runoff discharged from Massachusetts highways, 2005-07","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20095269","displayToPublicDate":"2010-12-01T00:00:00","publicationYear":"2010","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":"2009-5269","title":"Quality of stormwater runoff discharged from Massachusetts highways, 2005-07","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with U.S. Department of Transportation Federal Highway Administration and the Massachusetts Department of Transportation, conducted a field study from September 2005 through September 2007 to characterize the quality of highway runoff for a wide range of constituents. The highways studied had annual average daily traffic (AADT) volumes from about 3,000 to more than 190,000 vehicles per day. Highway-monitoring stations were installed at 12 locations in Massachusetts on 8 highways. The 12 monitoring stations were subdivided into 4 primary, 4 secondary, and 4 test stations. Each site contained a 100-percent impervious drainage area that included two or more catch basins sharing a common outflow pipe. Paired primary and secondary stations were located within a few miles of each other on a limited-access section of the same highway. Most of the data were collected at the primary and secondary stations, which were located on four principal highways (Route 119, Route 2, Interstate 495, and Interstate 95). The secondary stations were operated simultaneously with the primary stations for at least a year. Data from the four test stations (Route 8, Interstate 195, Interstate 190, and Interstate 93) were used to determine the transferability of the data collected from the principal highways to other highways characterized by different construction techniques, land use, and geography.\r\n\r\nAutomatic-monitoring techniques were used to collect composite samples of highway runoff and make continuous measurements of several physical characteristics. Flowweighted samples of highway runoff were collected automatically during approximately 140 rain and mixed rain, sleet, and snowstorms. These samples were analyzed for physical characteristics and concentrations of 6 dissolved major ions, total nutrients, 8 total-recoverable metals, suspended sediment, and 85 semivolatile organic compounds (SVOCs), which include priority polyaromatic hydrocarbons (PAHs), phthalate esters, and other anthropogenic or naturally occurring organic compounds. The distribution of particle size of suspended sediment also was determined for composite samples of highway runoff. Samples of highway runoff were collected year round and under various dry antecedent conditions throughout the 2-year sampling period. In addition to samples of highway runoff, supplemental samples also were collected of sediment in highway runoff, background soils, berm materials, maintenance sands, deicing compounds, and vegetation matter. These additional samples were collected near or on the highways to support data analysis.\r\n\r\nThere were few statistically significant differences between populations of constituent concentrations in samples from the primary and secondary stations on the same principal highways (Mann-Whitney test, 95-percent confidence level). Similarly, there were few statistically significant differences between populations of constituent concentrations for the four principal highways (data from the paired primary and secondary stations for each principal highway) and populations for test stations with similar AADT volumes. Exceptions to this include several total-recoverable metals for stations on Route 2 and Interstate 195 (highways with moderate AADT volumes), and for stations on Interstate 95 and Interstate 93 (highways with high AADT volumes). Supplemental data collected during this study indicate that many of these differences may be explained by the quantity, as well as the quality, of the sediment in samples of highway runoff.\r\n\r\nNonparametric statistical methods also were used to test for differences between populations of sample constituent concentrations among the four principal highways that differed mainly in traffic volume. These results indicate that there were few statistically significant differences (Mann-Whitney test, 95-percent confidence level) for populations of concentrations of most total-recoverable metals ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095269","collaboration":"Prepared in cooperation with the\r\nU.S. Department of Transportation Federal Highway Administration and the Massachusetts Department of Transportation","usgsCitation":"Smith, K.P., and Granato, G., 2010, Quality of stormwater runoff discharged from Massachusetts highways, 2005-07: U.S. Geological Survey Scientific Investigations Report 2009-5269, xiv, 198 p.; CD-ROM; Download of Compact Disc Menu, Download of Compact Disc Content, Download of Compact Disc Image, https://doi.org/10.3133/sir20095269.","productDescription":"xiv, 198 p.; CD-ROM; Download of Compact Disc Menu, Download of Compact Disc Content, Download of Compact Disc Image","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2005-09-01","temporalEnd":"2007-09-30","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":126132,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5269.jpg"},{"id":14319,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5269/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","projection":"Massachussetts Stateplane Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74,41 ], [ -74,43 ], [ -69.75,43 ], [ -69.75,41 ], [ -74,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d558","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","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":306888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306889,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98900,"text":"sir20105233 - 2010 - A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios","interactions":[{"subject":{"id":98503,"text":"ofr20101144 - 2010 - Public Review Draft: A Method for Assessing Carbon Stocks, Carbon Sequestration, and Greenhouse-Gas Fluxes in Ecosystems of the United States Under Present Conditions and Future Scenarios","indexId":"ofr20101144","publicationYear":"2010","noYear":false,"title":"Public Review Draft: A Method for Assessing Carbon Stocks, Carbon Sequestration, and Greenhouse-Gas Fluxes in Ecosystems of the United States Under Present Conditions and Future Scenarios"},"predicate":"SUPERSEDED_BY","object":{"id":98900,"text":"sir20105233 - 2010 - A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios","indexId":"sir20105233","publicationYear":"2010","noYear":false,"title":"A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios"},"id":1}],"lastModifiedDate":"2018-01-30T21:03:12","indexId":"sir20105233","displayToPublicDate":"2010-11-30T00:00:00","publicationYear":"2010","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":"2010-5233","title":"A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios","docAbstract":"<p>he Energy Independence and Security Act of 2007 (EISA), Section 712, mandates the U.S. Department of the Interior to develop a methodology and conduct an assessment of the Nation’s ecosystems, focusing on carbon stocks, carbon sequestration, and emissions of three greenhouse gases (GHGs): carbon dioxide, methane, and nitrous oxide. The major requirements include (1) an assessment of all ecosystems (terrestrial systems, such as forests, croplands, wetlands, grasslands/shrublands; and aquatic ecosystems, such as rivers, lakes, and estuaries); (2) an estimate of the annual potential capacities of ecosystems to increase carbon sequestration and reduce net GHG emissions in the context of mitigation strategies (including management and restoration activities); and (3) an evaluation of the effects of controlling processes, such as climate change, land-use and land-cover change, and disturbances such as wildfires.</p><p>The concepts of ecosystems, carbon pools, and GHG fluxes follow conventional definitions in use by major national and international assessment or inventory efforts. In order to estimate current ecosystem carbon stocks and GHG fluxes and to understand the potential capacity and effects of mitigation strategies, the method will use two time periods for the assessment: 2001 through 2010, which establishes a current ecosystem carbon and GHG baseline and will be used to validate the models; and 2011 through 2050, which will be used to assess potential capacities based on a set of scenarios. The scenario framework will be constructed using storylines of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES), along with both reference and enhanced land-use and land-cover (LULC) and land-management parameters. Additional LULC and land-management mitigation scenarios will be constructed for each storyline to increase carbon sequestration and reduce GHG fluxes in ecosystems. Input from regional experts and stakeholders will be solicited to construct these scenarios.</p><p>The methods for mapping the current LULC and ecosystem disturbances will require the extensive use of both remote-sensing data and field-survey data (for example, forest inventories) to capture and characterize landscape-changing events. For potential LULC changes and ecosystem disturbances, key drivers such as socioeconomic and climate changes will be used in addition to the biophysical data. The result of these analyses will be a series of maps for each future year for each scenario. These annual maps will form the basis for estimating carbon storage and GHG emissions. For terrestrial ecosystems, carbon storage, carbon-sequestration capacities, and GHG emissions under the present conditions and future scenarios will be assessed using the LULC-change and ecosystem-disturbance estimates in map format with a spatially explicit biogeochemical ensemble modeling system that incorporates properties of management activities (such as tillage or harvesting) and properties of individual ecosystems (such as energy exchange, vegetation characteristics, hydrological cycling, and soil attributes). For aquatic ecosystems, carbon burial in sediments and fluxes of GHG are functions of the present and future potential stream flow and sediment transport and will be assessed using empirical hydrological modeling methods. Validation and uncertainty analysis methods described in the methodology will follow established guidelines to assess the quality of the assessment results.</p><p>The U.S. Environmental Protection Agency’s Level II ecoregions map will be the practical instrument for developing and delivering assessment results. Consequently, the ecoregion (there are 22 modified ecoregions) will be the reporting unit of the assessment because the scenarios, assessment results, validation, and uncertainty analysis will be produced at that scale. The implementation of these methods will require collaborations among various Federal agencies, State agencies, nongovernmental organizations, and the science community. Using the method described in this document, the assessment can be completed in approximately 3 to 4 years. The primary deliverables will be assessment reports containing tables, charts, and maps that will present the estimated GHG parameters annually for 2001 through 2050 by ecosystem, pool, and scenario. The results will permit the evaluation of a range of policies, mitigation options, and research topics, such as the demographic, LULC-change, or climate-change effects on carbon stocks, carbon sequestration, and GHG fluxes in ecosystems.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105233","usgsCitation":"Bergamaschi, B., Bernknopf, R., Clow, D., Dye, D., Faulkner, S., Forney, W., Gleason, R., Hawbaker, T., Liu, J., Liu, S., Prisley, S., Reed, B., Reeves, M., Rollins, M., Sleeter, B., Sohl, T., Stackpoole, S., Stehman, S., Striegl, R.G., Wein, A., and Zhu, Z., 2010, A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios: U.S. Geological Survey Scientific Investigations Report 2010-5233, Reprot: xviii, 85 p. ; Appendixes: A-I, https://doi.org/10.3133/sir20105233.","productDescription":"Reprot: xviii, 85 p. ; Appendixes: A-I","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2001-01-01","temporalEnd":"2050-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":14318,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5233/","linkFileType":{"id":5,"text":"html"}},{"id":126775,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5233.jpg"},{"id":333243,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5233/pdf/sir2010-5233.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a48e4b07f02db623663","contributors":{"editors":[{"text":"Zhu, Zhi-Liang zzhu@usgs.gov","contributorId":3636,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","email":"zzhu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":505757,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":1448,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","email":"bbergama@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernknopf, 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,{"id":9000487,"text":"sir20105202 - 2010 - Simulation of streamflow in the McTier Creek watershed, South Carolina","interactions":[],"lastModifiedDate":"2017-01-17T10:41:08","indexId":"sir20105202","displayToPublicDate":"2010-11-29T00:00:00","publicationYear":"2010","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":"2010-5202","title":"Simulation of streamflow in the McTier Creek watershed, South Carolina","docAbstract":"The McTier Creek watershed is located in the Sand Hills ecoregion of South Carolina and is a small catchment within the Edisto River Basin. Two watershed hydrology models were applied to the McTier Creek watershed as part of a larger scientific investigation to expand the understanding of relations among hydrologic, geochemical, and ecological processes that affect fish-tissue mercury concentrations within the Edisto River Basin. The two models are the topography-based hydrological model (TOPMODEL) and the grid-based mercury model (GBMM). TOPMODEL uses the variable-source area concept for simulating streamflow, and GBMM uses a spatially explicit modified curve-number approach for simulating streamflow. The hydrologic output from TOPMODEL can be used explicitly to simulate the transport of mercury in separate applications, whereas the hydrology output from GBMM is used implicitly in the simulation of mercury fate and transport in GBMM. The modeling efforts were a collaboration between the U.S. Geological Survey and the U.S. Environmental Protection Agency, National Exposure Research Laboratory.\r\n\r\nCalibrations of TOPMODEL and GBMM were done independently while using the same meteorological data and the same period of record of observed data. Two U.S. Geological Survey streamflow-gaging stations were available for comparison of observed daily mean flow with simulated daily mean flow-station 02172300, McTier Creek near Monetta, South Carolina, and station 02172305, McTier Creek near New Holland, South Carolina. The period of record at the Monetta gage covers a broad range of hydrologic conditions, including a drought and a significant wet period. Calibrating the models under these extreme conditions along with the normal flow conditions included in the record enhances the robustness of the two models.\r\n\r\nSeveral quantitative assessments of the goodness of fit between model simulations and the observed daily mean flows were done. These included the Nash-Sutcliffe coefficient of model-fit efficiency index, Pearson's correlation coefficient, the root mean square error, the bias, and the mean absolute error. In addition, a number of graphical tools were used to assess how well the models captured the characteristics of the observed data at the Monetta and New Holland streamflow-gaging stations. The graphical tools included temporal plots of simulated and observed daily mean flows, flow-duration curves, single-mass curves, and various residual plots. The results indicated that TOPMODEL and GBMM generally produced simulations that reasonably capture the quantity, variability, and timing of the observed streamflow. For the periods modeled, the total volume of simulated daily mean flows as compared to the total volume of the observed daily mean flow from TOPMODEL was within 1 to 5 percent, and the total volume from GBMM was within 1 to 10 percent. A noticeable characteristic of the simulated hydrographs from both models is the complexity of balancing groundwater recession and flow at the streamgage when flows peak and recede rapidly. However, GBMM results indicate that groundwater recession, which affects the receding limb of the hydrograph, was more difficult to estimate with the spatially explicit curve number approach. Although the purpose of this report is not to directly compare both models, given the characteristics of the McTier Creek watershed and the fact that GBMM uses the spatially explicit curve number approach as compared to the variable-source-area concept in TOPMODEL, GBMM was able to capture the flow characteristics reasonably well. ","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105202","collaboration":"National Water-Quality Assessment Program\r\nPrepared in cooperation with the U.S. Environmental Protection Agency,\r\nNational Exposure Research Laboratory","usgsCitation":"Feaster, T., Golden, H., Odom, K.R., Lowery, M.A., Conrads, P., and Bradley, P.M., 2010, Simulation of streamflow in the McTier Creek watershed, South Carolina: U.S. Geological Survey Scientific Investigations Report 2010-5202, xiv, 55 p.; Appendices, https://doi.org/10.3133/sir20105202.","productDescription":"xiv, 55 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":203302,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14329,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5202/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","otherGeospatial":"McTier Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.63333333333334,33.7 ], [ -81.63333333333334,33.85 ], [ -81.5,33.85 ], [ -81.5,33.7 ], [ -81.63333333333334,33.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4998e4b07f02db5b9b93","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golden, Heather E.","contributorId":94914,"corporation":false,"usgs":true,"family":"Golden","given":"Heather E.","affiliations":[],"preferred":false,"id":344113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Odom, Kenneth R.","contributorId":72087,"corporation":false,"usgs":true,"family":"Odom","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":344111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowery, Mark A.","contributorId":77872,"corporation":false,"usgs":true,"family":"Lowery","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":344112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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