Understanding the effects of irrigation diversions on populations of Pacific lampreyLampetra tridentata in the Columbia River basin is needed for their recovery. We tested the effectiveness of five common fish screen materials for excluding lamprey ammocoetes: interlock (IL), vertical bar (VB), perforated plate (PP), and 12-gauge and 14-gauge wire cloth (WC12) and (WC14). When fish (28–153 mm) were exposed for 60 min to screen panels perpendicular to an approach velocity of 12 cm/s in a recirculating flume, the percentage of ammocoetes entrained (i.e., passed through the screen) was 26% for the IL, 18% for the PP, 33% for the VB, 62% for the WC14, and 65% for the WC12 screens. For all screens, most fish were entrained within the first 15–20 min. Fish length significantly influenced entrainment, with the PP, VB, and IL screens preventing fish greater than 50–65 mm from entrainment and the WC14 and WC12 screens preventing entrainment of fish greater than 90–110 mm. Fish of all sizes repeatedly became impinged (i.e., contacting the screen for more than 1 s) on the screens, with the frequency of impingement events increasing during the first 5 min and becoming relatively stable thereafter. Impingement ranges were highest on the IL screen (36–62%), lowest on the WC14 and WC12 screens (13–31%), and intermediate on the PP and VB screens (23–54%). However, the WC14 and WC12 screens had fewer and larger fish remaining as time elapsed because so many were entrained. For all screen types, injuries were rare and minor, and no fish died after overnight posttest holding. Our results indicate that wire cloth screens should be replaced, where practical, with perforated plate, vertical bar, or interlocking bar screens to reduce lamprey entrainment at water diversions.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2012.678965","usgsCitation":"Rose, B.P., and Mesa, M.G., 2012, Effectiveness of common fish screen materials to protect lamprey ammocoetes: North American Journal of Fisheries Management, v. 32, no. 3, p. 597-603, https://doi.org/10.1080/02755947.2012.678965.","productDescription":"7 p.","startPage":"597","endPage":"603","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033600","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":263704,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-06-19","publicationStatus":"PW","scienceBaseUri":"50bfb8f8e4b01744973f779a","contributors":{"authors":[{"text":"Rose, Brien P. brose@usgs.gov","contributorId":3493,"corporation":false,"usgs":true,"family":"Rose","given":"Brien","email":"brose@usgs.gov","middleInitial":"P.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":469726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":469725,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041449,"text":"70041449 - 2012 - Selenium in aquatic biota inhabiting agricultural drains in the Salton Sea Basin, California","interactions":[],"lastModifiedDate":"2016-08-30T09:42:45","indexId":"70041449","displayToPublicDate":"2012-12-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Selenium in aquatic biota inhabiting agricultural drains in the Salton Sea Basin, California","docAbstract":"Resource managers are concerned that water conservation practices in irrigated farmlands along the southern border of the Salton Sea, Imperial County, California, could increase selenium concentrations in agricultural drainwater and harm the desert pupfish (Cyprinodon macularius), a federally protected endangered species. As part of a broader attempt to address this concern, we conducted a 3-year investigation to collect baseline information on selenium concentrations in seven agricultural drains inhabited by pupfish. We collected water, sediment, selected aquatic food-chain taxa (particulate organic detritus, filamentous algae, net plankton, and midge [Chironomidae] larvae), and two poeciliid fishes (western mosquitofish Gambusia affinis and sailfin molly Poecilia latipinna) for selenium determinations. The two fish species served as ecological surrogates for pupfish, which we were not permitted to sacrifice. Dissolved selenium ranged from 0.70 to 32.8 μg/L, with selenate as the major constituent. Total selenium concentrations in other environmental matrices varied widely among drains, with one drain (Trifolium 18) exhibiting especially high concentrations in detritus, 5.98–58.0 μg Se/g; midge larvae, 12.7–50.6 μg Se/g; mosquitofish, 13.2–20.2 μg Se/g; and mollies, 12.8–30.4 μg Se/g (all tissue concentrations are based on dry weights). Although toxic thresholds for selenium in fishes from the Salton Sea are still poorly understood, available evidence suggests that ambient concentrations of this element may not be sufficiently elevated to adversely affect reproductive success and survival in selenium-tolerant poeciliids and pupfish.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-011-2367-1","usgsCitation":"Saiki, M.K., Martin, B.A., and May, T.W., 2012, Selenium in aquatic biota inhabiting agricultural drains in the Salton Sea Basin, California: Environmental Monitoring and Assessment, v. 184, no. 9, p. 5623-5640, https://doi.org/10.1007/s10661-011-2367-1.","productDescription":"18 p.","startPage":"5623","endPage":"5640","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027911","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":263721,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"184","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-14","publicationStatus":"PW","scienceBaseUri":"50c11a8ee4b005831885e265","contributors":{"authors":[{"text":"Saiki, Michael K.","contributorId":54671,"corporation":false,"usgs":true,"family":"Saiki","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":469741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Barbara A. 0000-0002-9415-6377 barbara_ann_martin@usgs.gov","orcid":"https://orcid.org/0000-0002-9415-6377","contributorId":2855,"corporation":false,"usgs":true,"family":"Martin","given":"Barbara","email":"barbara_ann_martin@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":469740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":469739,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041359,"text":"sir20125246 - 2012 - Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","interactions":[{"subject":{"id":99012,"text":"sir20105239 - 2011 - Effects of Simulated Land-Use Changes on Water Quality of Lake Maumelle, Arkansas","indexId":"sir20105239","publicationYear":"2011","noYear":false,"title":"Effects of Simulated Land-Use Changes on Water Quality of Lake Maumelle, Arkansas"},"predicate":"SUPERSEDED_BY","object":{"id":70041359,"text":"sir20125246 - 2012 - Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","indexId":"sir20125246","publicationYear":"2012","noYear":false,"title":"Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10"},"id":1}],"lastModifiedDate":"2012-12-04T11:23:00","indexId":"sir20125246","displayToPublicDate":"2012-12-04T00:00:00","publicationYear":"2012","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":"2012-5246","title":"Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","docAbstract":"Lake Maumelle, located in central Arkansas northwest of the cities of Little Rock and North Little Rock, is one of two principal drinking-water supplies for the Little Rock, and North Little Rock, Arkansas, metropolitan areas. Lake Maumelle and the Maumelle River (its primary tributary) are more pristine than most other reservoirs and streams in the region with 80 percent of the land area in the entire watershed being forested. However, as the Lake Maumelle watershed becomes increasingly more urbanized and timber harvesting becomes more extensive, concerns about the sustainability of the quality of the water supply also have increased.\n\nTwo hydrodynamic and water-quality models were developed to examine the hydrology and water quality in the Lake Maumelle watershed and changes that might occur as the watershed becomes more urbanized and timber harvesting becomes more extensive. A Hydrologic Simulation Program–FORTRAN watershed model was developed using continuous streamflow and discreet suspended-sediment and water-quality data collected from January 2004 through 2010. A CE–QUAL–W2 model was developed to simulate reservoir hydrodynamics and selected water-quality characteristics using the simulated output from the Hydrologic Simulation Program–FORTRAN model from January 2004 through 2010.\n\nThe calibrated Hydrologic Simulation Program–FORTRAN model and the calibrated CE–QUAL–W2 model were developed to simulate three land-use scenarios and to examine the potential effects of these land-use changes, as defined in the model, on the water quality of Lake Maumelle during the 2004 through 2010 simulation period. These scenarios included a scenario that simulated conversion of most land in the watershed to forest (scenario 1), a scenario that simulated conversion of potentially developable land to low-intensity urban land use in part of the watershed (scenario 2), and a scenario that simulated timber harvest in part of the watershed (scenario 3). Simulated land-use changes for scenarios 1 and 3 resulted in little (generally less than 10 percent) overall effect on the simulated water quality in the Hydrologic Simulation Program–FORTRAN model. The land-use change of scenario 2 affected subwatersheds that include Bringle, Reece, and Yount Creek tributaries and most other subwatersheds that drain into the northern side of Lake Maumelle; large percent increases in loading rates (generally between 10 and 25 percent) included dissolved nitrite plus nitrate nitrogen, dissolved orthophosphate, total phosphorus, suspended sediment, dissolved ammonia nitrogen, total organic carbon, and fecal coliform bacteria.\n\nFor scenario 1, the simulated changes in nutrient, suspended sediment, and total organic carbon loads from the Hydrologic Simulation Program–FORTRAN model resulted in very slight (generally less than 10 percent) changes in simulated water quality for Lake Maumelle, relative to the baseline condition. Following lake mixing in the falls of 2006 and 2007, phosphorus and nitrogen concentrations were higher than the baseline condition and chlorophyll a responded accordingly. The increased nutrient and chlorophyll a concentrations in late October and into 2007 were enough to increase concentrations, on average, for the entire simulation period (2004–10). For scenario 2, the simulated changes in nutrient, suspended sediment, total organic carbon, and fecal coliform bacteria loads from the Lake Maumelle watershed resulted in slight changes in simulated water quality for Lake Maumelle, relative to the baseline condition (total nitrogen decreased by 0.01 milligram per liter; dissolved orthophosphate increased by 0.001 milligram per liter; chlorophyll a decreased by 0.1 microgram per liter). The differences in these concentrations are approximately an order of magnitude less than the error between measured and simulated concentrations in the baseline model. During the driest summer in the simulation period (2006), phosphorus and nitrogen concentrations were lower than the baseline condition and chlorophyll a concentrations decreased during the same summer season. The decrease in nitrogen and chlorophyll a concentrations during the dry summer in 2006 was enough to decrease concentrations of these constituents very slightly, on average, for the entire simulation period (2004–10). For scenario 3, the changes in simulated nutrient, suspended sediment, total organic carbon, and fecal coliform bacteria loads from Lake Maumelle watershed resulted in very slight changes in simulated water quality within Lake Maumelle, relative to the baseline condition, for most of the reservoir.\n\nAmong the implications of the results of the modeling described in this report are those related to scale in both space and time. Spatial scales include limited size and location of land-use changes, their effects on loading rates, and resultant effects on water quality of Lake Maumelle. Temporally, the magnitude of the water-quality changes simulated by the land-use change scenarios over the 7-year period (2004–10) are not necessarily indicative of the changes that could be expected to occur with similar land-use changes persisting over a 20-, 30-, or 40- year period, for example. These implications should be tempered by realization of the described model limitations.\n\nThe Hydrologic Simulation Program–FORTRAN watershed model was calibrated to streamflow and water-quality data from five streamflow-gaging stations, and in general, these stations characterize a range of subwatershed areas with varying land-use types. The CE–QUAL–W2 reservoir model was calibrated to water-quality data collected during January 2004 through December 2010 at three reservoir stations, representing the upper, middle, and lower sections of the reservoir.\n\nIn general, the baseline simulation for the Hydrologic Simulation Program–FORTRAN and the CE–QUAL–W2 models matched reasonably well to the measured data. Simulated and measured suspended-sediment concentrations during periods of base flow (streamflows not substantially influenced by runoff) agree reasonably well for Maumelle River at Williams Junction, the station representing the upper end of the watershed (with differences—simulated minus measured value—generally ranging from -15 to 41 milligrams per liter, and percent difference—relative to the measured value—ranging from -99 to 182 percent) and Maumelle River near Wye, the station just above the reservoir at the lower end (differences generally ranging from -20 to 22 milligrams per liter, and percent difference ranging from -100 to 194 percent). In general, water temperature and dissolved-oxygen concentration simulations followed measured seasonal trends for all stations with the largest differences occurring during periods of lowest temperatures or during the periods of lowest measured dissolved-oxygen concentrations.\n\nFor the CE–QUAL–W2 model, simulated vertical distributions of water temperatures and dissolved-oxygen concentrations agreed with measured vertical distributions over time, even for the most complex water-temperature profiles. Considering the oligotrophic-mesotrophic (low to intermediate primary productivity and associated low nutrient concentrations) condition of Lake Maumelle, simulated algae, phosphorus, and nitrogen concentrations compared well with generally low measured concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125246","collaboration":"Prepared in cooperation with Central Arkansas Water","usgsCitation":"Hart, R.M., Green, W.R., Westerman, D.A., Petersen, J., and DeLanois, J.L., 2012, Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10: U.S. Geological Survey Scientific Investigations Report 2012-5246, ix, 119 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125246.","productDescription":"ix, 119 p.; col. ill.; maps (col.)","startPage":"i","endPage":"119","numberOfPages":"132","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":263666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5246.gif"},{"id":263664,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5246/"},{"id":263665,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5246/sir2012-5246.pdf"}],"country":"United States","state":"Arkansas","otherGeospatial":"Lake Maumelle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.62,33.0 ], [ -94.62,36.5 ], [ -89.65,36.5 ], [ -89.65,33.0 ], [ -94.62,33.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfba04e4b01744973f77ae","contributors":{"authors":[{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, W. Reed","contributorId":87886,"corporation":false,"usgs":true,"family":"Green","given":"W.","email":"","middleInitial":"Reed","affiliations":[],"preferred":false,"id":469614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, James C. petersen@usgs.gov","contributorId":2437,"corporation":false,"usgs":true,"family":"Petersen","given":"James C.","email":"petersen@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLanois, Jeanne L.","contributorId":58531,"corporation":false,"usgs":true,"family":"DeLanois","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469613,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041307,"text":"sir20125156 - 2012 - Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011","interactions":[],"lastModifiedDate":"2016-08-10T15:53:54","indexId":"sir20125156","displayToPublicDate":"2012-12-04T00:00:00","publicationYear":"2012","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":"2012-5156","title":"Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011","docAbstract":"Probabilities of arsenic occurrence in groundwater from bedrock aquifers at concentrations of 1, 5, and 10 micrograms per liter (µg/L) were estimated during 2011 using multivariate logistic regression. These estimates were developed for use by the New Hampshire Environmental Public Health Tracking Program. About 39 percent of New Hampshire bedrock groundwater was identified as having at least a 50 percent chance of containing an arsenic concentration greater than or equal to 1 µg/L. This compares to about 7 percent of New Hampshire bedrock groundwater having at least a 50 percent chance of containing an arsenic concentration equaling or exceeding 5 µg/L and about 5 percent of the State having at least a 50 percent chance for its bedrock groundwater to contain concentrations at or above 10 µg/L. The southeastern counties of Merrimack, Strafford, Hillsborough, and Rockingham have the greatest potential for having arsenic concentrations above 5 and 10 µg/L in bedrock groundwater.
\nSignificant predictors of arsenic in groundwater from bedrock aquifers for all three thresholds analyzed included geologic, geochemical, land use, hydrologic, topographic, and demographic factors. Among the three thresholds evaluated, there were some differences in explanatory variables, but many variables were the same. More than 250 individual predictor variables were assembled for this study and tested as potential predictor variables for the models. More than 1,700 individual measurements of arsenic concentration from a combination of public and private water-supply wells served as the dependent (or predicted) variable in the models.
\nThe statewide maps generated by the probability models are not designed to predict arsenic concentration in any single well, but they are expected to provide useful information in areas of the State that currently contain little to no data on arsenic concentration. They also may aid in resource decision making, in determining potential risk for private wells, and in ecological-level analysis of disease outcomes. The approach for modeling arsenic in groundwater could also be applied to other environmental contaminants that have potential implications for human health, such as uranium, radon, fluoride, manganese, volatile organic compounds, nitrate, and bacteria.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125156","collaboration":"Prepared in cooperation with the New Hampshire Department of Health and Human Services and the New Hampshire Department of Environmental Services","usgsCitation":"Ayotte, J., Cahillane, M., Hayes, L., and Robinson, K.W., 2012, Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011: U.S. Geological Survey Scientific Investigations Report 2012-5156, Report: vi, 25 p.; Geospatial Data, https://doi.org/10.3133/sir20125156.","productDescription":"Report: vi, 25 p.; Geospatial Data","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":263642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5156.gif"},{"id":263592,"type":{"id":15,"text":"Index 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Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Keith W. kwrobins@usgs.gov","contributorId":2969,"corporation":false,"usgs":true,"family":"Robinson","given":"Keith","email":"kwrobins@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":469511,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041310,"text":"70041310 - 2012 - Bird use of fields treated postharvest with two types of flooding in Tulare Basin, California","interactions":[],"lastModifiedDate":"2012-12-03T15:13:31","indexId":"70041310","displayToPublicDate":"2012-12-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Bird use of fields treated postharvest with two types of flooding in Tulare Basin, California","docAbstract":"We surveyed birds on grain and non-grain fields in the Tulare Basin of California treated post-harvest with two types of flooding that varied in duration and depth of water applied (Flooded-type fields [FLD]: <1 cm-1.5 m for >1 week; Irrigated-type fields [IRG]: <1-15 cm water for <1 week at a time). Our goal was to compare use of these field types by birds to guide habitat conservation in the region. During 19 August-6 December 2005, we counted a total of 80,316 birds during 23 surveys of 5 FLD (4 wheat, 1 alfalfa) fields and 8,225 birds during 38 surveys of 33 IRG (23 cotton, 4 tomato, 3 wheat, 1 alfalfa, 1 oat, 1 fallow) fields. We recorded 14 waterfowl (13 duck, 1 goose), 29 other waterbird (coots, shorebirds, grebes, pelicans, herons, egrets, gulls, terns), and 14 non-waterbird (passerines, raptors, and vultures) species on FLD fields compared to 5 duck, 14 other waterbird, and 9 non-waterbird species on IRG fields. Species composition differed by field type; waterfowl (FLD vs. IRG, 16.2% vs. 1.3%) and other waterbirds (80.4% vs. 71.6%) comprised a greater percentage and non-waterbirds (3.5% vs. 27.1%) a lower percentage of birds on FLD than on IRG fields. The modeled density estimate of waterfowl was 108 times greater on FLD than IRG fields and 7.4 times greater on grain than non-grain fields. The density estimate of other waterbirds was 11.8 times greater on FLD than IRG fields and 4.4 times greater on grain than non-grain fields. The density estimate of non-waterbirds was 14.3 times greater on grain than non-grain fields but did not differ by flood type. Long duration (i.e., >1 week) flooding increased waterbird use of grain fields in the Tulare Basin more than in the northern Central Valley. Thus, even though water costs are high in the Tulare Basin, if net benefit to waterbirds is considered, management programs that increase availability of FLD-type fields (especially grain) in the Tulare Basin may be a cost-effective option to help meet waterbird habitat conservation goals in the Central Valley of California.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish and Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Arlington, VA","doi":"10.3996/092011-JFWM-056","usgsCitation":"Fleskes, J.P., Skalos, D.A., and Farinha, M.A., 2012, Bird use of fields treated postharvest with two types of flooding in Tulare Basin, California: Journal of Fish and Wildlife Management, v. 3, no. 1, p. 164-174, https://doi.org/10.3996/092011-JFWM-056.","productDescription":"11 p.; Supplemental Material","startPage":"164","endPage":"174","ipdsId":"IP-032377","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092011-jfwm-056","text":"Publisher Index Page"},{"id":263635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263634,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3996/092011-JFWM-056"}],"country":"United States","state":"California","otherGeospatial":"Central Valley;Tulare;Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.1851,34.8421 ], [ -121.1851,36.9861 ], [ -118.5257,36.9861 ], [ -118.5257,34.8421 ], [ -121.1851,34.8421 ] ] ] } } ] }","volume":"3","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bdc9eae4b0f6301734766f","contributors":{"authors":[{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":1889,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":469513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skalos, Daniel A.","contributorId":64123,"corporation":false,"usgs":true,"family":"Skalos","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farinha, Melissa A.","contributorId":7791,"corporation":false,"usgs":true,"family":"Farinha","given":"Melissa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469514,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041305,"text":"70041305 - 2012 - Estimation of speciated and total mercury dry deposition at monitoring locations in eastern and central North America","interactions":[],"lastModifiedDate":"2012-12-05T09:32:59","indexId":"70041305","displayToPublicDate":"2012-12-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":922,"text":"Atmospheric Chemistry and Physics","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of speciated and total mercury dry deposition at monitoring locations in eastern and central North America","docAbstract":"Dry deposition of speciated mercury, i.e., gaseous oxidized mercury (GOM), particulate-bound mercury (PBM), and gaseous elemental mercury (GEM), was estimated for the year 2008–2009 at 19 monitoring locations in eastern and central North America. Dry deposition estimates were obtained by combining monitored two- to four-hourly speciated ambient concentrations with modeled hourly dry deposition velocities (Vd) calculated using forecasted meteorology. Annual dry deposition of GOM+PBM was estimated to be in the range of 0.4 to 8.1 μg m−2 at these locations with GOM deposition being mostly five to ten times higher than PBM deposition, due to their different modeled Vd values. Net annual GEM dry deposition was estimated to be in the range of 5 to 26 μg m−2 at 18 sites and 33 μg m−2 at one site. The estimated dry deposition agrees very well with limited surrogate-surface dry deposition measurements of GOM and PBM, and also agrees with litterfall mercury measurements conducted at multiple locations in eastern and central North America. This study suggests that GEM contributes much more than GOM+PBM to the total dry deposition at the majority of the sites considered here; the only exception is at locations close to significant point sources where GEM and GOM+PBM contribute equally to the total dry deposition. The relative magnitude of the speciated dry deposition and their good comparisons with litterfall deposition suggest that mercury in litterfall originates primarily from GEM, which is consistent with the limited number of previous field studies. The study also supports previous analyses suggesting that total dry deposition of mercury is equal to, if not more important than, wet deposition of mercury on a regional scale in eastern North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmospheric Chemistry and Physics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union (Copernicus Publications)","publisherLocation":"Munich, Germany","doi":"10.5194/acp-12-4327-2012","usgsCitation":"Zhang, L., Blanchard, P., Gay, D., Prestbo, E., Risch, M., Johnson, D., Narayan, J., Zsolway, R., Holsen, T., Miller, E., Castro, M., Graydon, J., , L., and Dalziel, J., 2012, Estimation of speciated and total mercury dry deposition at monitoring locations in eastern and central North America: Atmospheric Chemistry and Physics, v. 12, no. 9, p. 4327-4340, https://doi.org/10.5194/acp-12-4327-2012.","productDescription":"14 p.","startPage":"4327","endPage":"4340","ipdsId":"IP-033882","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":489181,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/acp-12-4327-2012","text":"Publisher Index Page"},{"id":263594,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/acp-12-4327-2012"},{"id":263596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States;Canada","otherGeospatial":"Piney Reservoir;Beltsville;Grand Bay Nerr;Thompson Farm;Brigantine;New Brunswick;Chester;Elizabeth Lab;Kejimkujik National Park;Bronx;Huntington Wildlife;Rochester;Rochester B;Athens Super Site;Stilwell;Antelope Island;Salt Lake City;Underhill;Canaan Valley Institute;Experimental Lakes Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.46,29.45 ], [ -114.46,50.51 ], [ -61.68,50.51 ], [ -61.68,29.45 ], [ -114.46,29.45 ] ] ] } } ] }","volume":"12","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-05-15","publicationStatus":"PW","scienceBaseUri":"50bd12dce4b069d93eefc4b2","contributors":{"authors":[{"text":"Zhang, L.","contributorId":41543,"corporation":false,"usgs":true,"family":"Zhang","given":"L.","email":"","affiliations":[],"preferred":false,"id":469495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blanchard, P.","contributorId":70267,"corporation":false,"usgs":true,"family":"Blanchard","given":"P.","affiliations":[],"preferred":false,"id":469500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gay, D.A.","contributorId":54018,"corporation":false,"usgs":true,"family":"Gay","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":469496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prestbo, E.M.","contributorId":83739,"corporation":false,"usgs":true,"family":"Prestbo","given":"E.M.","affiliations":[],"preferred":false,"id":469502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Risch, M.R.","contributorId":55032,"corporation":false,"usgs":true,"family":"Risch","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":469497,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, D.","contributorId":85955,"corporation":false,"usgs":true,"family":"Johnson","given":"D.","email":"","affiliations":[],"preferred":false,"id":469503,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Narayan, J.","contributorId":41309,"corporation":false,"usgs":true,"family":"Narayan","given":"J.","email":"","affiliations":[],"preferred":false,"id":469494,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zsolway, R.","contributorId":32059,"corporation":false,"usgs":true,"family":"Zsolway","given":"R.","email":"","affiliations":[],"preferred":false,"id":469492,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holsen, T.M.","contributorId":33122,"corporation":false,"usgs":true,"family":"Holsen","given":"T.M.","affiliations":[],"preferred":false,"id":469493,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, E. K.","contributorId":9832,"corporation":false,"usgs":true,"family":"Miller","given":"E. K.","affiliations":[],"preferred":false,"id":469491,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Castro, M.S.","contributorId":65358,"corporation":false,"usgs":true,"family":"Castro","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":469499,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Graydon, J.A.","contributorId":7902,"corporation":false,"usgs":true,"family":"Graydon","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":469490,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":" Louis","contributorId":71353,"corporation":false,"usgs":true,"given":"Louis","email":"","affiliations":[],"preferred":false,"id":469501,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dalziel, J.","contributorId":64484,"corporation":false,"usgs":true,"family":"Dalziel","given":"J.","email":"","affiliations":[],"preferred":false,"id":469498,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70042214,"text":"70042214 - 2012 - 3-D reconstructions of subsurface Pleistocene basalt flows from paleomagnetic inclination data and 40Ar/39Ar ages in the southern part of the Idaho National Laboratory (INL), Idaho (USA)","interactions":[],"lastModifiedDate":"2020-09-03T15:17:24.593109","indexId":"70042214","displayToPublicDate":"2012-12-01T14:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"3-D reconstructions of subsurface Pleistocene basalt flows from paleomagnetic inclination data and 40Ar/39Ar ages in the southern part of the Idaho National Laboratory (INL), Idaho (USA)","docAbstract":"The U. S. Geological Survey, in cooperation with the U.S. Department of Energy, is mapping the distribution of basalt flows and sedimentary interbeds at the Idaho National Laboratory in three dimensions to provide data for refining numerical models of groundwater flow and contaminant transport in the eastern Snake River Plain aquifer. Paleomagnetic inclination and polarity data from basalt samples from 47 coreholes are being used to create a three-dimensional (3-D) model of the subsurface of the southern part of the INL. Surface and sub-surface basalt flows can be identified in individual cores and traced in three dimensions on the surface and in the subsurface for distances of more than 20 km using a combination of paleomagnetic, stratigraphic, and 40Ar/39Ar data. Eastern Snake River Plain olivine tholeiite basalts have K2O contents of 0.2 to 1.0 weight per cent. In spite of the low-K content, high-precision 40Ar/39Ar ages were obtained by applying a protocol that employs short irradiation times (minimizing interferences from Ca derived 36Ar), frequent measurement of various size atmospheric Ar pipettes to monitor and correct for temporal variation, and signal size dependent nonlinearity in spectrometer mass bias, resulting in age dates with resolution generally between 2 to 10% of the age. 3-D models of subsurface basalt flows are being used to: (1) Estimate eruption volumes; (2) locate the approximate vent areas and extent of sub-surface flows; and (3) Help locate high and low transmissivity zones. Results indicate that large basalt eruptions (>3 km3) occurred at and near the Central Facilities Area between 637 ka and 360 ka; at and near the Radioactive Waste Management Complex before 540 ka; and north of the Naval Reactors Facility at about 580 ka. Since about 360 ka, large basalt flows have erupted along the Arco-Big Southern Butte Volcanic Rift Zone and the Axial Volcanic Zone, and flowed northerly towards the Central Facilities Area. Basalt eruptions shifted the course of the Big Lost River from a more southerly course to its present one.
","conferenceTitle":"American Geophysical Union, Fall Meeting","language":"English","publisher":"American Geophysical Union","usgsCitation":"Hodges, M., Champion, D.E., Turrin, B.D., and Swisher, C.C., 2012, 3-D reconstructions of subsurface Pleistocene basalt flows from paleomagnetic inclination data and 40Ar/39Ar ages in the southern part of the Idaho National Laboratory (INL), Idaho (USA), American Geophysical Union, Fall Meeting, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042382","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":310830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310829,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://abstractsearch.agu.org/meetings/2012/FM/V13B-2841.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.0835494995117,\n 43.48892214178582\n ],\n [\n -111.99789047241211,\n 43.48892214178582\n ],\n [\n -111.99789047241211,\n 43.539215993938164\n ],\n [\n -112.0835494995117,\n 43.539215993938164\n ],\n [\n -112.0835494995117,\n 43.48892214178582\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563494aee4b048076347fb85","contributors":{"authors":[{"text":"Hodges, Mary K. V. 0000-0001-8708-0354 mkhodges@usgs.gov","orcid":"https://orcid.org/0000-0001-8708-0354","contributorId":3023,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary K. V.","email":"mkhodges@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":578785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":578786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turrin, B. D.","contributorId":32548,"corporation":false,"usgs":true,"family":"Turrin","given":"B.","middleInitial":"D.","affiliations":[],"preferred":false,"id":516098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swisher, C. C. III","contributorId":39139,"corporation":false,"usgs":true,"family":"Swisher","given":"C.","suffix":"III","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":516095,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70057583,"text":"70057583 - 2012 - Ground water and climate change","interactions":[],"lastModifiedDate":"2018-02-21T15:24:05","indexId":"70057583","displayToPublicDate":"2012-12-01T14:14:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Ground water and climate change","docAbstract":"As the world's largest distributed store of fresh water, ground water plays a central part in sustaining ecosystems and enabling human adaptation to climate variability and change. The strategic importance of ground water for global water and food security will probably intensify under climate change as more frequent and intense climate extremes (droughts and floods) increase variability in precipitation, soil moisture and surface water. Here we critically review recent research assessing the impacts of climate on ground water through natural and human-induced processes as well as through groundwater-driven feedbacks on the climate system. Furthermore, we examine the possible opportunities and challenges of using and sustaining groundwater resources in climate adaptation strategies, and highlight the lack of groundwater observations, which, at present, limits our understanding of the dynamic relationship between ground water and climate.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/NCLIMATE1744","usgsCitation":"Taylor, R.G., Scanlon, B., Doll, P., Rodell, M., van Beek, R., Wada, Y., Longuevergne, L., Leblanc, M., Famiglietti, J.S., Edmunds, M., Konikow, L.F., Green, T.R., Chen, J., Taniguchi, M., Bierkens, M.F., MacDonald, A., Fan, Y., Maxwell, R.M., Yechieli, Y., Gurdak, J., Allen, D.M., Shamsudduha, M., Hiscock, K., Yeh, P.J., Holman, I., and Treidel, H., 2012, Ground water and climate change: Nature Climate Change, v. 3, p. 322-329, https://doi.org/10.1038/NCLIMATE1744.","productDescription":"8 p.","startPage":"322","endPage":"329","ipdsId":"IP-040827","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474227,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20140006609","text":"External Repository"},{"id":279849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationDate":"2012-11-25","publicationStatus":"PW","scienceBaseUri":"5295d10de4b0becc369c8b23","contributors":{"authors":[{"text":"Taylor, Richard G.","contributorId":26610,"corporation":false,"usgs":true,"family":"Taylor","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":486790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scanlon, Bridget R.","contributorId":74093,"corporation":false,"usgs":true,"family":"Scanlon","given":"Bridget R.","affiliations":[],"preferred":false,"id":486794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doll, Petra","contributorId":84656,"corporation":false,"usgs":true,"family":"Doll","given":"Petra","email":"","affiliations":[],"preferred":false,"id":486802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodell, Matt","contributorId":93806,"corporation":false,"usgs":true,"family":"Rodell","given":"Matt","email":"","affiliations":[],"preferred":false,"id":486807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Beek, Rens","contributorId":106788,"corporation":false,"usgs":true,"family":"van Beek","given":"Rens","email":"","affiliations":[],"preferred":false,"id":486810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wada, Yoshihide","contributorId":83827,"corporation":false,"usgs":true,"family":"Wada","given":"Yoshihide","email":"","affiliations":[],"preferred":false,"id":486801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Longuevergne, Laurent","contributorId":83014,"corporation":false,"usgs":true,"family":"Longuevergne","given":"Laurent","email":"","affiliations":[],"preferred":false,"id":486800,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leblanc, Marc","contributorId":65756,"corporation":false,"usgs":true,"family":"Leblanc","given":"Marc","email":"","affiliations":[],"preferred":false,"id":486798,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Famiglietti, James S.","contributorId":6753,"corporation":false,"usgs":true,"family":"Famiglietti","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":486785,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Edmunds, Mike","contributorId":90200,"corporation":false,"usgs":true,"family":"Edmunds","given":"Mike","email":"","affiliations":[],"preferred":false,"id":486804,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486793,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Green, Timothy R.","contributorId":93587,"corporation":false,"usgs":true,"family":"Green","given":"Timothy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486806,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Chen, Jianyao","contributorId":90201,"corporation":false,"usgs":true,"family":"Chen","given":"Jianyao","email":"","affiliations":[],"preferred":false,"id":486805,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Taniguchi, Makoto","contributorId":89789,"corporation":false,"usgs":true,"family":"Taniguchi","given":"Makoto","email":"","affiliations":[],"preferred":false,"id":486803,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bierkens, Marc F.P.","contributorId":28890,"corporation":false,"usgs":true,"family":"Bierkens","given":"Marc","email":"","middleInitial":"F.P.","affiliations":[],"preferred":false,"id":486791,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"MacDonald, Alan","contributorId":62916,"corporation":false,"usgs":true,"family":"MacDonald","given":"Alan","email":"","affiliations":[],"preferred":false,"id":486795,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Fan, Ying","contributorId":48856,"corporation":false,"usgs":true,"family":"Fan","given":"Ying","affiliations":[],"preferred":false,"id":486792,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Maxwell, Reed M.","contributorId":95373,"corporation":false,"usgs":true,"family":"Maxwell","given":"Reed","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486808,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Yechieli, Yossi","contributorId":7170,"corporation":false,"usgs":true,"family":"Yechieli","given":"Yossi","email":"","affiliations":[],"preferred":false,"id":486786,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Gurdak, Jason J.","contributorId":65125,"corporation":false,"usgs":true,"family":"Gurdak","given":"Jason J.","affiliations":[],"preferred":false,"id":486797,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Allen, Diana M.","contributorId":83010,"corporation":false,"usgs":true,"family":"Allen","given":"Diana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486799,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Shamsudduha, Mohammad","contributorId":7171,"corporation":false,"usgs":true,"family":"Shamsudduha","given":"Mohammad","email":"","affiliations":[],"preferred":false,"id":486787,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Hiscock, Kevin","contributorId":11499,"corporation":false,"usgs":true,"family":"Hiscock","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":486788,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Yeh, Pat J.-F.","contributorId":63297,"corporation":false,"usgs":true,"family":"Yeh","given":"Pat","email":"","middleInitial":"J.-F.","affiliations":[],"preferred":false,"id":486796,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Holman, Ian","contributorId":99876,"corporation":false,"usgs":true,"family":"Holman","given":"Ian","email":"","affiliations":[],"preferred":false,"id":486809,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Treidel, Holger","contributorId":25854,"corporation":false,"usgs":true,"family":"Treidel","given":"Holger","email":"","affiliations":[],"preferred":false,"id":486789,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70129120,"text":"70129120 - 2012 - Description of the U.S. Geological Survey Geo Data Portal data integration framework","interactions":[],"lastModifiedDate":"2014-10-17T11:55:02","indexId":"70129120","displayToPublicDate":"2012-12-01T11:51:58","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Description of the U.S. Geological Survey Geo Data Portal data integration framework","docAbstract":"The U.S. Geological Survey has developed an open-standard data integration framework for working efficiently and effectively with large collections of climate and other geoscience data. A web interface accesses catalog datasets to find data services. Data resources can then be rendered for mapping and dataset metadata are derived directly from these web services. Algorithm configuration and information needed to retrieve data for processing are passed to a server where all large-volume data access and manipulation takes place. The data integration strategy described here was implemented by leveraging existing free and open source software. Details of the software used are omitted; rather, emphasis is placed on how open-standard web services and data encodings can be used in an architecture that integrates common geographic and atmospheric data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Electrical and Electronics Engineers","publisherLocation":"New York, NY","doi":"10.1109/JSTARS.2012.2196759","usgsCitation":"Blodgett, D.L., Booth, N., Kunicki, T.C., Walker, J.I., and Lucido, J., 2012, Description of the U.S. Geological Survey Geo Data Portal data integration framework: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 5, no. 6, p. 1687-1691, https://doi.org/10.1109/JSTARS.2012.2196759.","productDescription":"5 p.","startPage":"1687","endPage":"1691","numberOfPages":"5","ipdsId":"IP-034402","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":295456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295455,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/JSTARS.2012.2196759"}],"volume":"5","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54422f9ce4b0192a5a42f3d2","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":503440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Booth, Nathaniel L. nlbooth@usgs.gov","contributorId":651,"corporation":false,"usgs":true,"family":"Booth","given":"Nathaniel L.","email":"nlbooth@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":503439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunicki, Thomas C. tkunicki@usgs.gov","contributorId":4609,"corporation":false,"usgs":true,"family":"Kunicki","given":"Thomas","email":"tkunicki@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":503442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Jordan I. 0000-0003-2226-3373 jiwalker@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-3373","contributorId":4608,"corporation":false,"usgs":true,"family":"Walker","given":"Jordan","email":"jiwalker@usgs.gov","middleInitial":"I.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":503441,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lucido, Jessica M. jlucido@usgs.gov","contributorId":4695,"corporation":false,"usgs":true,"family":"Lucido","given":"Jessica M.","email":"jlucido@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":503443,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148124,"text":"70148124 - 2012 - Age, growth, and reproductive biology of three catostomids from the Apalachicola River, Florida","interactions":[],"lastModifiedDate":"2015-06-03T10:25:01","indexId":"70148124","displayToPublicDate":"2012-12-01T11:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Age, growth, and reproductive biology of three catostomids from the Apalachicola River, Florida","docAbstract":"Riverine catostomids can show a wide range of interspecific variation in life-history characteristics. Understanding these differences is an important consideration in evaluating the sensitivity of these fishes to disturbance and in formulating effective conservation strategies, particularly when dealing with an assemblage consisting of multiple species within a watershed. We collected Apalachicola redhorse Moxostoma n. sp. cf. poecilurum (n = 125), spotted sucker Minytrema melanops (n = 94), and quillback Carpiodes cyprinus (n = 94) to determine age, growth, and reproductive biology of spawning catostomids in the Apalachicola River, Florida, during 2007. Quillback was the smallest in total length at age; longest-lived; most fecund; and produced the smallest eggs. Apalachicola redhorse was the largest in body size; had an intermediate life span; and produced the fewest yet largest eggs. Spotted sucker was more similar to Apalachicola redhorse in most characteristics. Growth during ages 1-3 in all three species seemed to be negatively related to the proportion of observations of extreme flow, both high (Q90) and low (Q10), per year and a positive response in growth rate to high flows (>Q75 but < Q90). However, Apalachicola redhorse and spotted sucker growth was more sensitive to flow conditions than that of quillback. Our results suggest the life histories and ecological response of Apalachicola River catostomids to flow regulation are important components for developing strategies that incorporate the needs of these fishery resources into an ecosystem-based management approach.
","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Washington, D.C.","doi":"10.3996/012012-JFWM-008","usgsCitation":"Grabowski, T.B., Young, S., Isely, J.J., and Ely, P.C., 2012, Age, growth, and reproductive biology of three catostomids from the Apalachicola River, Florida: Journal of Fish and Wildlife Management, v. 3, no. 2, p. 223-237, https://doi.org/10.3996/012012-JFWM-008.","productDescription":"15 p.","startPage":"223","endPage":"237","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034432","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"3","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5570252ce4b0d9246a9fd181","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","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":547453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, S.P.","contributorId":50265,"corporation":false,"usgs":true,"family":"Young","given":"S.P.","email":"","affiliations":[],"preferred":false,"id":548127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isely, J. Jeffery","contributorId":97224,"corporation":false,"usgs":true,"family":"Isely","given":"J.","email":"","middleInitial":"Jeffery","affiliations":[],"preferred":false,"id":548128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ely, Patrick C.","contributorId":42686,"corporation":false,"usgs":false,"family":"Ely","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":548129,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70147948,"text":"70147948 - 2012 - Fish assemblages at engineered and natural channel structures in the lower Missouri river: implications for modified dike structures","interactions":[],"lastModifiedDate":"2015-05-11T10:10:52","indexId":"70147948","displayToPublicDate":"2012-12-01T11:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Fish assemblages at engineered and natural channel structures in the lower Missouri river: implications for modified dike structures","docAbstract":"Large rivers throughout the world have been modified by using dike structures to divert water flows to deepwater habitats to maintain navigation channels. These modifications have been implicated in the decline in habitat diversity and native fishes. However, dike structures have been modified in the Missouri River USA to increase habitat diversity to aid in the recovery of native fishes. We compared species occupancy and fish community composition at natural sandbars and at notched and un-notched rock dikes along the lower Missouri River to determine if notching dikes increases species diversity or occupancy of native fishes. Fish were collected using gill nets, trammel nets, otter trawls, and mini fyke nets throughout the lower 1212 river km of the Missouri River USA from 2003 to 2006. Few differences in species richness and diversity were evident among engineered dike structures and natural sandbars. Notching a dike structure had no effect on proportional abundance of fluvial dependents, fluvial specialists, and macrohabitat generalists. Occupancy at notched dikes increased for two species but did not differ for 17 other species (81%). Our results suggest that dike structures may provide suitable habitats for fluvial species compared with channel sand bars, but dike notching did not increase abundance or occupancy of most Missouri River fishes. Published in 2011 by John Wiley & Sons, Ltd.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.1578","usgsCitation":"Schloesser, J., Paukert, C.P., Doyle, W., Hill, T., Steffensen, K., and Travnichek, V.H., 2012, Fish assemblages at engineered and natural channel structures in the lower Missouri river: implications for modified dike structures: River Research and Applications, v. 28, no. 10, p. 1695-1707, https://doi.org/10.1002/rra.1578.","productDescription":"13 p.","startPage":"1695","endPage":"1707","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-007505","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"10","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-08-15","publicationStatus":"PW","scienceBaseUri":"5551d2b2e4b0a92fa7e93be3","contributors":{"authors":[{"text":"Schloesser, J.T.","contributorId":140678,"corporation":false,"usgs":false,"family":"Schloesser","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":546569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doyle, W.J.","contributorId":140679,"corporation":false,"usgs":false,"family":"Doyle","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":546570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, T.","contributorId":21333,"corporation":false,"usgs":true,"family":"Hill","given":"T.","email":"","affiliations":[],"preferred":false,"id":546571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steffensen, K.D.","contributorId":140680,"corporation":false,"usgs":false,"family":"Steffensen","given":"K.D.","affiliations":[],"preferred":false,"id":546572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Travnichek, Vincent H.","contributorId":111523,"corporation":false,"usgs":true,"family":"Travnichek","given":"Vincent","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":546573,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70171007,"text":"70171007 - 2012 - Biodegradability of dissolved organic carbon in the Yukon River and its tributaries: Seasonality and importance of inorganic nitrogen","interactions":[],"lastModifiedDate":"2016-05-17T10:09:17","indexId":"70171007","displayToPublicDate":"2012-12-01T11:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Biodegradability of dissolved organic carbon in the Yukon River and its tributaries: Seasonality and importance of inorganic nitrogen","docAbstract":"Northern high-latitude rivers transport large amounts of terrestrially derived dissolved organic matter (DOM) from boreal and arctic ecosystems to coastal areas and oceans. Current knowledge of the biodegradability of DOM in these rivers is limited, particularly for large rivers discharging to the Arctic Ocean. We conducted a seasonally comprehensive study of biodegradable dissolved organic carbon (BDOC) dynamics in the Yukon River and two of its tributaries in Alaska, USA. Distinct seasonal patterns of BDOC, consistent across a wide range of watershed size, indicate BDOC is transported year-round. Relative biodegradability (%BDOC) was greatest during winter, and decreased into spring and summer. Due to large seasonal differences in DOC concentration, the greatest concentrations of BDOC (mg C L−1) occurred during spring freshet, followed by winter and summer. While chemical composition of DOM was an important driver of BDOC, the overriding control of BDOC was mineral nutrient availability due to wide shifts in carbon (C) and nitrogen (N) stoichiometry across seasons. We calculated seasonal and annual loads of BDOC exported by the Yukon River by applying measured BDOC concentrations to daily water discharge values, and also by applying an empirical correlation between %BDOC and the ratio of DOC to dissolved inorganic N (DIN) to total DOC loads. The Yukon River exports ∼0.2 Tg C yr−1 as BDOC that is decomposable within 28 days. This corresponds to 12–18% of the total annual DOC export. Furthermore, we calculate that the six largest arctic rivers, including the Yukon River, collectively export ∼2.3 Tg C yr−1 as BDOC to the Arctic Ocean.
","language":"English","publisher":"John Wiley & Sons, Inc.","publisherLocation":"New York, NY","doi":"10.1029/2012GB004342","usgsCitation":"Wickland, K.P., Aiken, G.R., Butler, K.D., Dornblaser, M.M., RGM Spencer, and Striegl, R.G., 2012, Biodegradability of dissolved organic carbon in the Yukon River and its tributaries: Seasonality and importance of inorganic nitrogen: Global Biogeochemical Cycles, v. 26, no. 4, p. 1-14, https://doi.org/10.1029/2012GB004342.","productDescription":"14 p.","startPage":"1","endPage":"14","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036593","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":474229,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gb004342","text":"Publisher Index Page"},{"id":321281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-09-26","publicationStatus":"PW","scienceBaseUri":"574d644ee4b07e28b66835b1","contributors":{"authors":[{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":629516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":629514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butler, Kenna D. kebutler@usgs.gov","contributorId":3283,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":629515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":629517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"RGM Spencer","contributorId":169416,"corporation":false,"usgs":false,"family":"RGM Spencer","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":629519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":629518,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70043960,"text":"70043960 - 2012 - Evaluation of stream flow effects on smolt survival in the Yakima River basin, Washington","interactions":[],"lastModifiedDate":"2016-05-03T12:32:59","indexId":"70043960","displayToPublicDate":"2012-12-01T03:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Evaluation of stream flow effects on smolt survival in the Yakima River basin, Washington","docAbstract":"The influence of stream flow on salmon smolt emigration survival is a topic of widespread management interest. We collected smolt survival data to inform flow management decisions in the Yakima Basin. The Yakima River watershed drains the eastern slopes of the Cascade Mountain Range in central Washington State. The upper basin is comprised of two major tributaries–the Naches River and the upper Yakima River. Headwater storage reservoirs capture runoff during the winter and spring seasons to support downstream irrigation needs. During summer months, water is conveyed through the upper Yakima River and diverted at Roza Dam, a major irrigation diversion that supplies water to the Roza Irrigation District and to a hydroelectric plant located near Yakima, Washington.
\nTo assess smolt survival in the 18 km reach downstream of Roza Dam, a radio telemetry project will be carried out over a three-year timeframe. The first year of study was designed to provide baseline survival estimates at two distinct flow treatments during the spring migration period. The goal was to establish flow treatments that were as divergent as possible in order to maximize the observed effect of environmental conditions on smolt survival. In total, three experimental trials were carried out in 2012–one during low flow conditions (<600 cfs) and two during high flows (>3000 cfs). Data from the first year will be used to determine experimental design requirements to adequately address study objectives in years two and three.
\nIn the spring of 2012, fixed telemetry monitoring stations were established in strategic locations upstream and downstream of Roza Dam. Yearling Chinook salmon Oncorhynchus tshawytscha smolts originating from Cle Elum Hatchery were captured at the Roza Dam fish screen bypass facility, implanted with radio tags, and released upstream of Roza Dam. Each release group of 50 fish was paired with a high or low flow condition. Fish movements were tracked as tagged fish passed each monitoring station during their migration down the upper Yakima River, through Roza Dam, past the Naches River confluence, and eventually through Sunnyside and Prosser Dams. At the conclusion of field data collection, survival rates for each release group were calculated using Cormack-Jolly-Seber mark-recapture models.
\nYearling Chinook smolt survival and travel time estimates from 2012 suggest that migration rates and survival rates in the Roza Reach may be associated with stream flow, water temperature, release timing (i.e. migratory disposition), and fish size, but the extent to which each variable influenced survival is yet to be determined. The lowest survival rate (61%) and longest travel time (median 2.26 days) was observed in Release Group 1, which had the smallest size distribution and experienced the lowest flows, lowest temperatures, and earliest release date among the three groups. Release Groups 2 and 3 survived at 96% and 98% respectively and traveled through the Roza Reach in less than eight hours. The primary focus of years two and three of this study will be to collect data that minimizes the effect of confounding explanatory variables, so that flow effects on emigration survival can be quantified independent of these other influential factors.
","language":"English","publisher":"Cramer Fish Sciences","collaboration":"Annual report prepared for: Yakima Basin Joint Board, U.S. Bureau of Reclamation, System Operations Advisory Committee","usgsCitation":"Courter, Garrison, Kock, T.J., and Perry, R.W., 2012, Evaluation of stream flow effects on smolt survival in the Yakima River basin, Washington, 31 p.","productDescription":"31 p.","numberOfPages":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042239","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320892,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fishsciences.net/reports/view_report.php?rid=6222"}],"country":"United States","state":"Washington","otherGeospatial":"Naches River, Roza Reach, Yakima River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.06933593749999,\n 45.97406038956237\n ],\n [\n -121.06933593749999,\n 47.33510005753562\n ],\n [\n -119.783935546875,\n 47.33510005753562\n ],\n [\n -119.783935546875,\n 45.97406038956237\n ],\n [\n -121.06933593749999,\n 45.97406038956237\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5729cbb2e4b0b13d3919a32f","contributors":{"authors":[{"text":"Courter, Ian","contributorId":121196,"corporation":false,"usgs":true,"family":"Courter","suffix":"Ian","affiliations":[],"preferred":false,"id":517019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrison, Tommy","contributorId":115917,"corporation":false,"usgs":true,"family":"Garrison","suffix":"Tommy","affiliations":[],"preferred":false,"id":517016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":628532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":628533,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70043769,"text":"70043769 - 2012 - Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering","interactions":[],"lastModifiedDate":"2013-06-07T11:31:03","indexId":"70043769","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering","docAbstract":"Lacustrine sedimentary successions provide exceptionally high-resolution records of continental geological processes, responding to tectonic, climatic and magmatic influences. These successions are therefore essential for correlating geological and climatic phenomena across continents and furthermore the globe. Producing accurate geochronological frameworks within lacustrine strata is challenging because the stratigraphy is often bereft of biostratigraphy and directly dateable tuff horizons. The rhenium–osmium (Re–Os) geochronometer is a well-established tool for determining precise and accurate depositional ages of marine organic-rich rocks. Lake systems with stratified water columns are predisposed to the preservation of organic-rich rocks and thus should permit direct Re–Os geochronology of lacustrine strata. We present Re–Os systematics from one of the world's best documented lacustrine systems, the Eocene Green River Formation, providing accurate Re–Os depositional dates that are supported by Ar–Ar and U–Pb ages of intercalated tuff horizons. Precision of the Green River Formation Re–Os dates is controlled by the variation in initial 187Os/188Os and the range of 187Re/188Os ratios, as also documented in marine systems. Controls on uptake and fractionation of Re and Os are considered to relate mainly to depositional setting and the type of organic matter deposited, with the need to further understand the chelating precursors of Re and Os in organic matter highlighted. In addition to geochronology, the Re–Os data records the 187Os/188Os composition of lake water (1.41–1.54) at the time of deposition, giving an insight into continental runoff derived from weathering of the geological hinterland of the Green River Formation. Such insights enable us to evaluate fluctuations in continental climatic, tectonic and magmatic processes and provide the ability for chemostratigraphic correlation combined with direct depositional dates. Furthermore, initial 187Os/188Os values can be used as a diagnostic tool to distinguish between lacustrine and marine depositional settings when compared to known oceanic 187Os/188Os values.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2012.10.012","usgsCitation":"Cumming, V.M., Selby, D., and Lillis, P.G., 2012, Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering: Earth and Planetary Science Letters, v. 359-360, https://doi.org/10.1016/j.epsl.2012.10.012.","numberOfPages":"34","ipdsId":"IP-035807","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":488173,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1498377","text":"External Repository"},{"id":273446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267778,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2012.10.012"}],"country":"United States","state":"Colorado;Utah;Wyoming","otherGeospatial":"Greater Green River Basin;Uinta Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.01638888888888889,8.333333333333334E-4 ] ] ] } } ] }","volume":"359-360","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e7e4b01368e589e3fc","contributors":{"authors":[{"text":"Cumming, Vivien M.","contributorId":69044,"corporation":false,"usgs":true,"family":"Cumming","given":"Vivien","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":474224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":474223,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041367,"text":"70041367 - 2012 - Influences on Bythotrephes longimanus life-history characteristics in the Great Lakes","interactions":[],"lastModifiedDate":"2012-12-04T11:38:59","indexId":"70041367","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Influences on Bythotrephes longimanus life-history characteristics in the Great Lakes","docAbstract":"We compared Bythotrephes population demographics and dynamics to predator (planktivorous fish) and prey (small-bodied crustacean zooplankton) densities at a site sampled through the growing season in Lakes Michigan, Huron, and Erie. Although seasonal average densities of Bythotrephes were similar across lakes (222/m2 Erie, 247/m2 Huron, 162/m2 Michigan), temporal trends in abundance differed among lakes. In central Lake Erie where Bythotrephes' prey assemblage was dominated by small individuals (60%), where planktivorous fish densities were high (14,317/ha), and where a shallow water column limited availability of a deepwater refuge, the Bythotrephes population was characterized by a small mean body size, large broods with small neonates, allocation of length increases mainly to the spine rather than to the body, and a late summer population decline. By contrast, in Lake Michigan where Bythotrephes' prey assemblage was dominated by large individuals (72%) and planktivorous fish densities were lower (5052/ha), the Bythotrephes population was characterized by a large mean body size (i.e., 37–55% higher than in Erie), small broods with large neonates, nearly all growth in body length occurring between instars 1 and 2, and population persistence into fall. Life-history characteristics in Lake Huron tended to be intermediate to those found in Lakes Michigan and Erie, reflecting lower overall prey and predator densities (1224/ha) relative to the other lakes. Because plasticity in life history can affect interactions with other species, our findings point to the need to understand life-history variation among Great Lakes populations to improve our ability to model the dynamics of these ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2011.10.003","usgsCitation":"Pothoven, S.A., Vanderploeg, H., Warner, D.M., Schaeffer, J.S., Ludsin, S.A., Claramunt, R., and Nalepa, T., 2012, Influences on Bythotrephes longimanus life-history characteristics in the Great Lakes: Journal of Great Lakes Research, v. 38, no. 1, p. 134-141, https://doi.org/10.1016/j.jglr.2011.10.003.","productDescription":"8 p.","startPage":"134","endPage":"141","ipdsId":"IP-030718","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":263670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263668,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2011.10.003"}],"country":"United States;Canada","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.88 ], [ -76.0002,48.88 ], [ -76.0002,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"38","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfbd9ce4b01744973f780c","contributors":{"authors":[{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vanderploeg, Henry A.","contributorId":85929,"corporation":false,"usgs":true,"family":"Vanderploeg","given":"Henry A.","affiliations":[],"preferred":false,"id":469634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":469631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaeffer, Jeffrey S.","contributorId":89083,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ludsin, Stuart A.","contributorId":96978,"corporation":false,"usgs":true,"family":"Ludsin","given":"Stuart","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469637,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Claramunt, Randall M.","contributorId":19047,"corporation":false,"usgs":true,"family":"Claramunt","given":"Randall M.","affiliations":[],"preferred":false,"id":469632,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":469633,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70042537,"text":"70042537 - 2012 - Sea lamprey orient toward a source of a synthesized pheromone using odor-conditioned rheotaxis","interactions":[],"lastModifiedDate":"2013-02-28T11:49:22","indexId":"70042537","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":982,"text":"Behavioral Ecology and Sociobiology","active":true,"publicationSubtype":{"id":10}},"title":"Sea lamprey orient toward a source of a synthesized pheromone using odor-conditioned rheotaxis","docAbstract":"Characterization of vertebrate chemo-orientation strategies over long distances is difficult because it is often not feasible to conduct highly controlled hypothesis-based experiments in natural environments. To overcome the challenge, we couple in-stream behavioral observations of female sea lampreys (Petromyzon marinus) orienting to plumes of a synthesized mating pheromone, 7a,12a,24-trihydroxy-5a-cholan-3-one-24-sulfate (3kPZS), and engineering algorithms to systematically test chemo-orientation hypotheses. In-stream field observations and simulated movements of female sea lampreys according to control algorithms support that odor-conditioned rheotaxis is a component of the mechanism used to track plumes of 3kPZS over hundreds of meters in flowing water. Simulated movements of female sea lampreys do not support that rheotaxis or klinotaxis alone is sufficient to enable the movement patterns displayed by females in locating 3kPZS sources in the experimental stream. Odor-conditioned rheotaxis may not only be effective at small spatial scales as previous described in crustaceans, but may also be effectively used by fishes over hundreds of meters. These results may prove useful for developing management strategies for the control of invasive species that exploit the odor-conditioned tracking behavior and for developing biologically inspired navigation strategies for robotic fish.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Behavioral Ecology and Sociobiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00265-012-1409-1","usgsCitation":"Johnson, N.S., Muhammad, A., Thompson, H., Choi, J., and Li, W., 2012, Sea lamprey orient toward a source of a synthesized pheromone using odor-conditioned rheotaxis: Behavioral Ecology and Sociobiology, v. 66, no. 12, p. 1557-1567, https://doi.org/10.1007/s00265-012-1409-1.","productDescription":"11 p.","startPage":"1557","endPage":"1567","numberOfPages":"11","ipdsId":"IP-025659","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268547,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00265-012-1409-1"}],"country":"United States","volume":"66","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-09-22","publicationStatus":"PW","scienceBaseUri":"51308a9de4b04c194073ae50","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhammad, Azizah","contributorId":32054,"corporation":false,"usgs":true,"family":"Muhammad","given":"Azizah","email":"","affiliations":[],"preferred":false,"id":471726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Henry","contributorId":100705,"corporation":false,"usgs":true,"family":"Thompson","given":"Henry","affiliations":[],"preferred":false,"id":471729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, Jongeun","contributorId":84229,"corporation":false,"usgs":true,"family":"Choi","given":"Jongeun","affiliations":[],"preferred":false,"id":471728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":471727,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70154860,"text":"70154860 - 2012 - Spatial and temporal patterns of surface water quality and ichthyotoxicity in urban and rural river basins in Texas","interactions":[],"lastModifiedDate":"2015-07-15T15:10:25","indexId":"70154860","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal patterns of surface water quality and ichthyotoxicity in urban and rural river basins in Texas","docAbstract":"The Double Mountain Fork Brazos River (Texas, USA) consists of North (NF) and South Forks (SF). The NF receives urban runoff and twice-reclaimed wastewater effluent, whereas the SF flows through primarily rural areas. The objective of this study was to determine and compare associations between standard water quality variables and ichthyotoxicity at a landscape scale that included urban (NF) and rural (SF) sites. Five NF and three SF sites were sampled quarterly from March 2008 to March 2009 for specific conductance, salinity, hardness, pH, temperature, and turbidity; and a zebrafish (Danio rerio) embryo bioassay was used to determine ichthyotoxicity. Metal and nutrient concentrations at all sites were also measured in addition to standard water quality variables in spring 2009. Principal component analyses identified hardness, specific conductance, and salinity as the water variables that best differentiate the urban NF (higher levels) from rural SF habitat. Nutrient levels were also higher in the NF, but no landscape scale patterns in metal concentrations were observed. Ichthyotoxicity was generally higher in NF water especially in winter, and multiple regression analyses suggested a positive association between water hardness and ichthyotoxicity. To test for the potential influence of the toxic golden alga (Prymnesium parvum) on overall ichthyotoxicity, a cofactor known to enhance golden alga toxin activity was used in the bioassays. Golden alga ichthyotoxicity was detected in the NF but not the SF, suggesting golden alga may have contributed to overall ichthyotoxicity in the urban but not in the rural system. In conclusion, the physicochemistry of the urban-influenced NF water was conducive to the expression of ichthyotoxicity and also point to water hardness as a novel factor influencing golden alga ichthyotoxicity in surface waters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2012.05.002","usgsCitation":"VanLandeghem, M., Meyer, M.D., Cox, S., Sharma, B., and Patino, R., 2012, Spatial and temporal patterns of surface water quality and ichthyotoxicity in urban and rural river basins in Texas: Water Research, v. 20, p. 6638-6651, https://doi.org/10.1016/j.watres.2012.05.002.","productDescription":"46","startPage":"6638","endPage":"6651","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019013","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","city":"Lubbock","otherGeospatial":"Brazos River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.94797515869139,\n 33.52565471117594\n ],\n [\n -101.94797515869139,\n 33.62376800118814\n ],\n [\n -101.78352355957031,\n 33.62376800118814\n ],\n [\n -101.78352355957031,\n 33.52565471117594\n ],\n [\n -101.94797515869139,\n 33.52565471117594\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.21429443359375,\n 32.99829825477535\n ],\n [\n -101.21429443359375,\n 33.08118605830584\n ],\n [\n -101.01242065429686,\n 33.08118605830584\n ],\n [\n -101.01242065429686,\n 32.99829825477535\n ],\n [\n -101.21429443359375,\n 32.99829825477535\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a78439e4b0183d66e45e96","contributors":{"authors":[{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":564884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Matthew D.","contributorId":145648,"corporation":false,"usgs":false,"family":"Meyer","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":564885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Stephen B.","contributorId":101505,"corporation":false,"usgs":true,"family":"Cox","given":"Stephen B.","affiliations":[],"preferred":false,"id":564886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharma, Bibek","contributorId":100106,"corporation":false,"usgs":false,"family":"Sharma","given":"Bibek","email":"","affiliations":[],"preferred":false,"id":564887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564287,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041257,"text":"70041257 - 2012 - Assessing future risks to agricultural productivity, water resources and food security: How can remote sensing help?","interactions":[],"lastModifiedDate":"2017-04-06T14:51:55","indexId":"70041257","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Assessing future risks to agricultural productivity, water resources and food security: How can remote sensing help?","docAbstract":"Although global food production has been rising, the world sti ll faces a major food security challenge. Over one billion people are currently undernourished (Wheeler and Kay, 2010). By the 2050s, the human population is projected to grow to 9.1 billion. Over three-quarters of these people will be living in developing countries, in regions that already lack the capacity to feed their populations . Under current agricultural practices, the increased demand for food would require in excess of one billion hectares of new cropland, nearly equivalent to the land area of the United States, and would lead to significant increases in greenhouse gases (Tillman et al., 2011). Since climate is the primary determinant of agricultural productivity, changes to it will influence not only crop yields, but also hydrologic balances and supplies of inputs to managed farming systems, and may lead to a shift in the geographic location of some crops . Therefore, not only must crop productivity (yield per unit of land; kg/m2) increase, but water productivity (yield per unit of water or \"crop per drop\"; kg/m3) must increase as well in order to feed a burgeoning population against a backdrop\nof changing dietary consumption patterns, a changing climate and the growing scarcity of water and land (Beddington, 2010). The impact from these changes wi ll affect the viability of both dryland subsistence and irrigated commodity food production (Knox, et al., 2010a). Since climate is a primary determinant of agricultural productivity, any changes will influence not only crop yields, but also the hydrologic balances, and supplies of inputs to managed farming systems as well as potentially shifting the geographic location for specific crops . Unless concerted and collective action is taken, society risks worldwide food shortages, scarcity of water resources and insufficient energy. This has the potential to unleash public unrest, cross-border conflicts and migration as people flee the worst-affected regions to seck refuge in \"safe havens\", a situation that Beddington described as the \"perfect storm\" (2010).","language":"English","publisher":"ASPRS","publisherLocation":"Bethesda, MD","usgsCitation":"Thenkabail, P.S., Knox, J.W., Ozdogan, M., Gumma, M., Congalton, R., Wu, Z., Milesi, C., Finkral, A., Marshall, M., Mariotto, I., You, S., Giri, C., and Nagler, P., 2012, Assessing future risks to agricultural productivity, water resources and food security: How can remote sensing help?: Photogrammetric Engineering and Remote Sensing, v. 78, no. 8, p. 773-782.","productDescription":"10 p.","startPage":"773","endPage":"782","ipdsId":"IP-035587","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":263533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Earth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"78","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d8412be4b0064e695a0a0b","contributors":{"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":469459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knox, Jerry W.","contributorId":26947,"corporation":false,"usgs":true,"family":"Knox","given":"Jerry","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":469464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ozdogan, Mutlu","contributorId":32060,"corporation":false,"usgs":true,"family":"Ozdogan","given":"Mutlu","affiliations":[],"preferred":false,"id":469465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gumma, Murali Krishna","contributorId":50426,"corporation":false,"usgs":true,"family":"Gumma","given":"Murali Krishna","affiliations":[],"preferred":false,"id":469466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Congalton, Russell G.","contributorId":84646,"corporation":false,"usgs":true,"family":"Congalton","given":"Russell G.","affiliations":[],"preferred":false,"id":469469,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":469461,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Milesi, Cristina","contributorId":107590,"corporation":false,"usgs":true,"family":"Milesi","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":469471,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Finkral, Alex","contributorId":92947,"corporation":false,"usgs":true,"family":"Finkral","given":"Alex","email":"","affiliations":[],"preferred":false,"id":469470,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marshall, Mike","contributorId":52473,"corporation":false,"usgs":true,"family":"Marshall","given":"Mike","email":"","affiliations":[],"preferred":false,"id":469467,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mariotto, Isabella","contributorId":14140,"corporation":false,"usgs":true,"family":"Mariotto","given":"Isabella","email":"","affiliations":[],"preferred":false,"id":469463,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"You, Songcai","contributorId":71459,"corporation":false,"usgs":true,"family":"You","given":"Songcai","email":"","affiliations":[],"preferred":false,"id":469468,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":2403,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":469460,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nagler, Pamela 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":8748,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","affiliations":[],"preferred":false,"id":469462,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70041527,"text":"pp1794A3 - 2012 - Willamette Valley Ecoregion: Chapter 3 in Status and trends of land change in the Western United States--1973 to 2000","interactions":[],"lastModifiedDate":"2013-02-01T10:56:19","indexId":"pp1794A3","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1794-A-3","title":"Willamette Valley Ecoregion: Chapter 3 in Status and trends of land change in the Western United States--1973 to 2000","docAbstract":"The Willamette Valley Ecoregion (as defined by Omernik, 1987; U.S. Environmental Protection Agency, 1997) covers approximately 14,458 km² (5,582 mi2), making it one of the smallest ecoregions in the conterminous United States. The long, alluvial Willamette Valley, which stretches north to south more than 193 km and ranges from 32 to 64 km wide, is nestled between the sedimentary and metamorphic Coast Ranges (Coast Range Ecoregion) to the west and the basaltic Cascade Range (Cascades Ecoregion) to the east (fig. 1). The Lewis and Columbia Rivers converge at the ecoregion’s northern boundary in Washington state; however, the majority of the ecoregion falls within northwestern Oregon. Interstate 5 runs the length of the valley to its southern boundary with the Klamath Mountains Ecoregion. Topography here is relatively flat, with elevations ranging from sea level to 122 m. This even terrain, coupled with mild, wet winters, warm, dry summers, and nutrient-rich soil, makes the Willamette Valley the most important agricultural region in Oregon. Population centers are concentrated along the valley floor. According to estimates from the Oregon Department of Fish and Wildlife (2006), over 2.3 million people lived in Willamette Valley in 2000. Portland, Oregon, is the largest city, with 529,121 residents (U.S. Census Bureau, 2000). Other sizable cities include Eugene, Oregon; Salem (Oregon’s state capital); and Vancouver, Washington. Despite the large urban areas dotting the length of the Willamette Valley Ecoregion, agriculture and forestry products are its economic foundation (figs. 2,3). The valley is a major producer of grass seed, ornamental plants, fruits, nuts, vegetables, and grains, as well as poultry, beef, and dairy products. The forestry and logging industries also are primary employers of the valley’s rural residents (Rooney, 2008). These activities have affected the watershed significantly, with forestry and agricultural runoff contributing to river sedimentation and decreased water quality in the Willamette River and its tributary streams (Oregon Department of Fish and Wildlife, 2006). Recent years have seen a marked decline in forest health related to the increased frequency of multiyear droughts. Insect damage and other diseases also are present; however, drought- related water stress is the primary factor in coniferous-tree mortality (Oregon Department of Forestry, 2008). Trees most at risk include Douglas-fir (Pseudotsuga menziesii), grand fir (Abies grandis), and western red cedar (Thuja plicata). Overstocking by timber companies and planting on sites with poor conditions increase susceptibility. Over time, these problems may lead to changes in planting practices and the use of more drought-tolerant species such as ponderosa pine (Pinus ponderosa).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Status and trends of land change in the Western United States--1973 to 2000: Volume A in Status and trends of land change in the United States--1973 to 2000 (PP 1794-A)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1794A3","collaboration":"This publication is Chapter 3 in Status and trends of land change in the Western United States--1973 to 2000, which is Volume A in Status and trends of land change in the United States--1973 to 2000, PP 1794. Volume A consists of 30 chapters. For access to other chapters, please visit PP 1794-A.","usgsCitation":"Wilson, T.S., and Sorenson, D.G., 2012, Willamette Valley Ecoregion: Chapter 3 in Status and trends of land change in the Western United States--1973 to 2000: U.S. Geological Survey Professional Paper 1794-A-3, Chapter 3: 7 p., https://doi.org/10.3133/pp1794A3.","productDescription":"Chapter 3: 7 p.","startPage":"51","endPage":"57","additionalOnlineFiles":"Y","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":263826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1794_A_3.jpg"},{"id":263823,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1794/a/"},{"id":263824,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/pp1794a_chapter03.pdf"},{"id":263825,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/"}],"country":"United States","state":"Oregon","city":"Portland","otherGeospatial":"Willamette Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.0,43.5 ], [ -124.0,46.0 ], [ -122.0,46.0 ], [ -122.0,43.5 ], [ -124.0,43.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c31ea6e4b0b57f2415d232","contributors":{"authors":[{"text":"Wilson, Tamara S.","contributorId":36640,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sorenson, Daniel G. 0000-0003-0365-9444 dsorenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0365-9444","contributorId":2898,"corporation":false,"usgs":true,"family":"Sorenson","given":"Daniel","email":"dsorenson@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":469904,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}