Groundwater quality in the Klamath Mountains (KLAM) study unit was investigated as part of the Priority Basin Project of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study unit is located in Del Norte, Humboldt, Shasta, Siskiyou, Tehama, and Trinity Counties. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey (USGS) and the Lawrence Livermore National Laboratory.
\nThe GAMA Priority Basin Project was designed to provide a spatially unbiased, statistically robust assessment of the quality of untreated (raw) groundwater in the primary aquifer system. The assessment is based on water-quality data and explanatory factors for groundwater samples collected in 2010 by the USGS from 39 sites and on water-quality data from the California Department of Public Health (CDPH) water-quality database. The primary aquifer system was defined by the depth intervals of the wells listed in the CDPH water-quality database for the KLAM study unit. The quality of groundwater in the primary aquifer system may be different from that in the shallower or deeper water-bearing zones; shallow groundwater may be more vulnerable to surficial contamination.
\nThis study included two types of assessments: (1) a status assessment, which characterized the status of the current quality of the groundwater resource by using data from samples analyzed for volatile organic compounds, pesticides, and naturally occurring inorganic constituents, such as major ions and trace elements, and (2) an understanding assessment, which evaluated the natural and human factors potentially affecting the groundwater quality. The assessments were intended to characterize the quality of groundwater resources in the primary aquifer system of the KLAM study unit, not the quality of treated drinking water delivered to consumers by water purveyors.
\nRelative-concentrations (sample concentrations divided by the health- or aesthetic-based benchmark concentrations) were used for evaluating groundwater quality for those constituents that have Federal or California regulatory or non-regulatory benchmarks for drinking-water quality. A relative-concentration greater than (>) 1.0 indicates a concentration greater than a benchmark, and a relative-concentration less than or equal to (≤) 1.0 indicates a concentration less than or equal to a benchmark. Relative-concentrations of organic constituents were classified as “high” (relative-concentration > 1.0), “moderate” (0.1 < relative-concentration ≤ 1.0), or “low” (relative-concentration ≤ 0.1). For inorganic constituents, the boundary between low and moderate relative-concentration was set at 0.5.
\nAquifer-scale proportion was used in the status assessment as the primary metric for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the percentage of the area of the primary aquifer system with a relative-concentration greater than 1.0 for a particular constituent or class of constituents; percentage is based on an areal rather than a volumetric basis. Moderate and low aquifer-scale proportions were defined as the percentages of the primary aquifer system with moderate and low relative-concentrations, respectively.
\nThe KLAM study unit includes more than 8,800 square miles (mi2), but only those areas near the sampling sites, about 920 mi2, are included in the areal assessment of the study unit. Two statistical approaches—grid-based and spatially weighted—were used to evaluate aquifer-scale proportions for individual constituents and classes of constituents. To confirm this methodology, 90 percent confidence intervals were calculated for the grid-based high aquifer-scale proportions and were compared to the spatially weighted results, which were found to be within these confidence intervals in all cases. Grid-based results were selected for use in the status assessment unless, as was observed in a few cases, a grid-based result was zero and the spatially weighted result was not zero, in which case, the spatially weighted result was used.
\nThe status assessment showed that inorganic constituents with human-health benchmarks were detected at high relative-concentrations in 2.6 percent of the primary aquifer system and at moderate relative-concentrations in 10 percent of the system. The high aquifer-scale proportion for inorganic constituents mainly reflected the high aquifer-scale proportions of boron. Inorganic constituents with secondary maximum contaminant levels were detected at high relative-concentrations in 13 percent of the primary aquifer system and at moderate relative-concentrations in 10 percent of the system. The constituents present at high relative-concentrations included iron and manganese.
\nOrganic constituents with human-health benchmarks were not detected at high relative-concentrations, but were detected at moderate relative-concentrations in 1.9 percent of the primary aquifer system. The 1.9 percent reflected a spatially weighted moderate aquifer-scale proportion for the gasoline additive methyl tert-butyl ether. Of the 148 organic constituents analyzed, 14 constituents were detected. Only one organic constituent had a detection frequency of greater than 10 percent—the trihalomethane, chloroform.
\nThe second component of this study, the understanding assessment, identified the natural and human factors that may have affected the groundwater quality in the KLAM study unit by evaluating statistical correlations between water-quality constituents and potential explanatory factors. The potential explanatory factors evaluated were aquifer lithology, land use, hydrologic conditions, depth, groundwater age, and geochemical conditions. Results of the statistical evaluations were used to explain the occurrence and distribution of constituents in the KLAM study unit.
\nGroundwater age distribution (modern, mixed, or pre-modern), redox class (oxic, mixed, or anoxic), and dissolved oxygen concentration were the explanatory factors that best explained occurrence patterns of the inorganic constituents. High concentrations of boron were found to be associated with groundwater classified as mixed or pre-modern with respect to groundwater age. Boron was also negatively correlated to dissolved oxygen and positively correlated to specific conductance. Iron and manganese concentrations were strongly associated with low dissolved oxygen concentrations, anoxic and mixed redox classifications, and pre-modern groundwater. Specific conductance concentrations were found to be related to pre-modern groundwater, low dissolved oxygen concentrations, and high pH.
\nChloroform was selected for additional evaluation in the understanding assessment because it was detected in more than 10 percent of wells sampled in the KLAM study unit. Septic tank density was the only explanatory factor that was found to relate to chloroform concentrations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145065","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Bennett, G.L., Fram, M.S., and Belitz, K., 2014, Status and understanding of groundwater quality in the Klamath Mountains study unit, 2010: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2014-5065, viii, 58 p., https://doi.org/10.3133/sir20145065.","productDescription":"viii, 58 p.","numberOfPages":"70","ipdsId":"IP-043179","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":293462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145065.jpg"},{"id":293460,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5065/"},{"id":293461,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5065/pdf/sir2014-5065.pdf"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Klamath Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.00,32.00 ], [ -125.00,42.00 ], [ -114.00,42.00 ], [ -114.00,32.00 ], [ -125.00,32.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540ac032e4b023c1f29d587d","contributors":{"authors":[{"text":"Bennett, George L. V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70101016,"text":"fs20143031 - 2014 - Groundwater quality in the Klamath Mountains, California","interactions":[],"lastModifiedDate":"2014-09-05T12:15:57","indexId":"fs20143031","displayToPublicDate":"2014-09-05T12:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3031","title":"Groundwater quality in the Klamath Mountains, California","docAbstract":"Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and increases public access to groundwater-quality information. The Klamath Mountains constitute one of the study units being evaluated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143031","collaboration":"Prepared in cooperation with California State Water Resources Control Board","usgsCitation":"Bennett, G.L., and Fram, M.S., 2014, Groundwater quality in the Klamath Mountains, California: U.S. Geological Survey Fact Sheet 2014-3031, 4 p., https://doi.org/10.3133/fs20143031.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-043180","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":293459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143031.PNG"},{"id":293457,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3031/"},{"id":293458,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3031/pdf/fs2014-3031.pdf"}],"country":"United States","state":"California","otherGeospatial":"Klamath Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.2997,40.704 ], [ -124.2997,42.7185 ], [ -122.396,42.7185 ], [ -122.396,40.704 ], [ -124.2997,40.704 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540ac030e4b023c1f29d585c","contributors":{"authors":[{"text":"Bennett, George L. V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492544,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70123528,"text":"70123528 - 2014 - Effectiveness of Aquaflor (50% florfenicol) administered in feed to control mortality associated with Streptococcus iniae in tilapia at a commercial tilapia production facility","interactions":[],"lastModifiedDate":"2014-10-23T09:24:27","indexId":"70123528","displayToPublicDate":"2014-09-05T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of Aquaflor (50% florfenicol) administered in feed to control mortality associated with Streptococcus iniae in tilapia at a commercial tilapia production facility","docAbstract":"The efficacy of Aquaflor (florfenicol; FFC) to control mortality caused by Streptococcus iniae in tilapia was evaluated under field conditions. The trial was initiated following presumptive diagnosis of S. iniae infection in a mixed group of fingerling (mean, 4.5 g) Nile Tilapia Oreochromis niloticus and a hybrid of Nile Tilapia×Blue Tilapia O. aureus. Diagnoses included mortality in source tank; examination of clinical signs and presence or absence of gram-positive cocci in brain, and collection of samples for microbiological review and disease confirmation of 60 moribund fish. Following presumptive diagnosis, tilapia (83/tank) were randomly transferred to each of 20 test tanks receiving the same water as the source tank (test tank water was not reused). Tilapia were offered either nonmedicated control feed or FFC-medicated feed (FFC at 15 mg/kg body weight/d; 10 tanks per regimen) for 10 consecutive days followed by a 14-d observation period during which only the nonmedicated control feed was offered. Streptococcus iniae was presumptively identified during pretreatment necropsy and confirmed by polymerase chain reaction assay; S. iniae was confirmed in samples taken during the dosing period but was not detected during the postdosing period. The FFC disk diffusion zone of inhibition ranged from 29 to 32 mm, while the minimum inhibitory concentration of FFC ranged from 2 to 4 μg/mL for the S. iniae isolates collected. Survival of tilapia assigned to the FFC-dose group was significantly greater at 14 d posttreatment than that of the nonmedicated controls. The odds of tilapia assigned to the FFC-dose group surviving to the end of the postdosing period were 1.34 times the odds of survival of tilapia assigned to the nonmedicated control group. There were no clinically apparent adverse effects associated with the administration of FFC-medicated feed in this study.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Aquaculture","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/15222055.2013.855283","usgsCitation":"Gaikowski, M.P., Schleis, S., Leis, E., Lasee, B.A., and Endris, R.G., 2014, Effectiveness of Aquaflor (50% florfenicol) administered in feed to control mortality associated with Streptococcus iniae in tilapia at a commercial tilapia production facility: North American Journal of Aquaculture, v. 76, no. 4, p. 375-382, https://doi.org/10.1080/15222055.2013.855283.","productDescription":"8 p.","startPage":"375","endPage":"382","numberOfPages":"8","ipdsId":"IP-037098","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":293451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293441,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/15222055.2013.855283"}],"volume":"76","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-09-03","publicationStatus":"PW","scienceBaseUri":"540ac030e4b023c1f29d5852","contributors":{"authors":[{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":796,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark","email":"mgaikowski@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":500173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schleis, Susan M.","contributorId":97778,"corporation":false,"usgs":true,"family":"Schleis","given":"Susan M.","affiliations":[],"preferred":false,"id":500177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leis, Eric","contributorId":29743,"corporation":false,"usgs":true,"family":"Leis","given":"Eric","affiliations":[],"preferred":false,"id":500174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lasee, Becky A.","contributorId":30586,"corporation":false,"usgs":true,"family":"Lasee","given":"Becky","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":500175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Endris, Richard G.","contributorId":44784,"corporation":false,"usgs":true,"family":"Endris","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":500176,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70123288,"text":"ofr20141186 - 2014 - Demographics and run timing of adult Lost River (Deltistes luxatus) and short nose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2012","interactions":[],"lastModifiedDate":"2014-09-05T10:44:47","indexId":"ofr20141186","displayToPublicDate":"2014-09-05T10:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1186","title":"Demographics and run timing of adult Lost River (Deltistes luxatus) and short nose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2012","docAbstract":"Data from a long-term capture-recapture program were used to assess the status and dynamics of populations of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. In addition, beginning in 2005, individuals that had been previously PIT-tagged were re-encountered on remote underwater antennas deployed throughout sucker spawning areas. Captures and remote encounters during spring 2012 were used to describe the spawning migrations in that year and also were incorporated into capture-recapture analyses of population dynamics.
\nCormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning populations. In addition, data on the size composition of captured fish were examined to provide corroborating evidence of recruitment. Model estimates of survival and recruitment were used to derive estimates of changes in population size over time and to determine the status of the populations in 2011. Separate analyses were conducted for each species and also for each subpopulation of Lost River suckers (LRS). Shortnose suckers (SNS) and one subpopulation of LRS migrate into tributary rivers to spawn, whereas the other LRS subpopulation spawns at groundwater upwelling areas along the eastern shoreline of the lake.
\nIn 2012, we captured, tagged, and released 749 LRS at four lakeshore spawning areas and recaptured an additional 969 individuals that had been tagged in previous years. Across all four areas, the remote antennas detected 6,578 individual LRS during the spawning season. Spawning activity peaked in April and most individuals were encountered at Cinder Flats and Sucker Springs. In the Williamson River, we captured, tagged, and released 3,376 LRS and 299 SNS, and recaptured 551 LRS and 125 SNS that had been tagged in previous years. Remote PIT tag antennas in the traps at the weir on the Williamson River and remote antenna systems that spanned the river at four different locations on the Williamson and Sprague Rivers detected a total of 19,321 LRS and 6,124 SNS. Most LRS passed upstream between late April and mid-May when water temperatures were increasing and greater than 10 °C. In contrast, most upstream passage for SNS occurred in early and mid-May when water temperatures were increasing and near or greater than 12 °C. Finally, an additional 1,188 LRS and 1,665 SNS were captured in trammel net sampling at pre-spawn staging areas in the northeastern part of the lake. Of these, 291 of the LRS and 653 of the SNS had been PIT-tagged in previous years. For LRS captured at the staging areas that had encounter histories that were informative about their spawning location, over 90 percent of the fish were members of the subpopulation that spawns in the rivers.
\nCapture-recapture analyses for the LRS subpopulation that spawns at the shoreline areas included encounter histories for more than 12,150 individuals, and analyses for the subpopulation that spawns in the rivers included more than 29,500 encounter histories. With a few exceptions, the survival of males and females in both subpopulations was high (greater than 0.9) between 1999 and 2010. Notably lower survival occurred for both sexes from the rivers in 2000, for both sexes from the shoreline areas in 2002, and for males from the rivers in 2006. Between 2001 and 2011, the abundance of males in the lakeshore spawning subpopulation decreased by 53–65 percent and the abundance of females decreased by 36–48 percent. Capture-recapture models suggested that the abundance of both sexes in the river spawning subpopulation of LRS had increased substantially since 2006; increases were due to large estimated recruitment events in 2006 and 2008. We know that the estimates in 2006 are substantially biased in favor of recruitment because of a sampling issue. We are skeptical of the magnitude of recruitment indicated by the 2008 estimates as well because (1) few small individuals that would indicate the presence of new recruits were captured in that year, and (2) recapture probabilities in recruitment models based on just physical recaptures were lower than desired for robust inferences from capture-recapture models. If we assume that little or no recruitment occurred in 2006 or 2008, the abundance of both sexes in the river spawning subpopulation likely has decreased at rates similar to the rates for the lakeshore spawning subpopulation between 2002 and 2011.
\nCapture-recapture analyses for SNS included encounter histories for more than 17,700 individuals. Most annual survival estimates between 2001 and 2010 were high (greater than 0.8), but SNS experienced more years of low survival than either LRS subpopulation. Annual survival of both sexes was particularly low in 2001, 2004, and 2010. In addition, male survival was somewhat low in 2002. Capture-recapture models and size composition data indicate that recruitment of new individuals into the SNS spawning population was trivial between 2001 and 2005. Models indicate substantial recruitment of new individuals into the SNS spawning population in 2006, 2008, and 2009. As a result, capture-recapture modeling suggests that the abundance of adult spawning SNS was relatively stable between 2006 and 2010. We are skeptical of the estimated recruitment in 2006, 2008, and 2009 because few small individuals that would indicate the presence of new recruits were captured in any of those years, and recapture probabilities in recruitment models were low. The best-case scenario for SNS, based on capture-recapture recruitment modeling, indicates that the abundance of males in the spawning population decreased by 71 percent and the abundance of females decreased by 69 percent between 2001 and 2011. The worst-case scenario, which assumes no recruitment and seems more likely, suggests an 86 percent decrease for males and an 81 percent decrease for females.
\nDespite relatively high survival in most years, we conclude that both species have experienced substantial declines in the abundance of spawning fish because losses from mortality have not been balanced by recruitment of new individuals. Although capture-recapture data indicate substantial recruitment of new individuals into the adult spawning populations for SNS and river spawning LRS in some years, size data do not corroborate these estimates. In fact, fork length data indicate that all populations are largely comprised of fish that were present in the late 1990s and early 2000s. As a result, the status of the endangered sucker populations in Upper Klamath Lake remains worrisome, and the situation is especially dire for shortnose suckers. Future investigations should explore the connections between sucker recruitment and survival and various environmental factors, such as water quality and disease. Our monitoring program provides a robust platform for estimating vital population parameters, evaluating the status of the populations, and assessing the effectiveness of conservation and recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141186","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Hewitt, D.A., Janney, E.C., Hayes, B., and Harris, A., 2014, Demographics and run timing of adult Lost River (Deltistes luxatus) and short nose (Chasmistes brevirostris) suckers in Upper Klamath Lake, Oregon, 2012: U.S. Geological Survey Open-File Report 2014-1186, vi, 44 p., https://doi.org/10.3133/ofr20141186.","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-056892","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":293448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141186.PNG"},{"id":293447,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1186/pdf/ofr2014-1186.pdf"},{"id":293446,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1186/"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.105786,42.233567 ], [ -122.105786,42.598638 ], [ -121.801545,42.598638 ], [ -121.801545,42.233567 ], [ -122.105786,42.233567 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540ac02fe4b023c1f29d584d","contributors":{"authors":[{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janney, Eric C. 0000-0002-0228-2174","orcid":"https://orcid.org/0000-0002-0228-2174","contributorId":83629,"corporation":false,"usgs":true,"family":"Janney","given":"Eric","email":"","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":499965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Brian S. 0000-0001-8229-4070","orcid":"https://orcid.org/0000-0001-8229-4070","contributorId":37022,"corporation":false,"usgs":true,"family":"Hayes","given":"Brian S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":499964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Alta C. 0000-0002-2123-3028 aharris@usgs.gov","orcid":"https://orcid.org/0000-0002-2123-3028","contributorId":3490,"corporation":false,"usgs":true,"family":"Harris","given":"Alta C.","email":"aharris@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499962,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70123449,"text":"70123449 - 2014 - Incorporating cold-air pooling into downscaled climate models increases potential refugia for snow-dependent species within the Sierra Nevada Ecoregion, CA","interactions":[],"lastModifiedDate":"2018-10-16T13:58:26","indexId":"70123449","displayToPublicDate":"2014-09-04T16:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating cold-air pooling into downscaled climate models increases potential refugia for snow-dependent species within the Sierra Nevada Ecoregion, CA","docAbstract":"We present a unique water-balance approach for modeling snowpack under historic, current and future climates throughout the Sierra Nevada Ecoregion. Our methodology uses a finer scale (270 m) than previous regional studies and incorporates cold-air pooling, an atmospheric process that sustains cooler temperatures in topographic depressions thereby mitigating snowmelt. Our results are intended to support management and conservation of snow-dependent species, which requires characterization of suitable habitat under current and future climates. We use the wolverine (Gulo gulo) as an example species and investigate potential habitat based on the depth and extent of spring snowpack within four National Park units with proposed wolverine reintroduction programs. Our estimates of change in spring snowpack conditions under current and future climates are consistent with recent studies that generally predict declining snowpack. However, model development at a finer scale and incorporation of cold-air pooling increased the persistence of April 1st snowpack. More specifically, incorporation of cold-air pooling into future climate projections increased April 1st snowpack by 6.5% when spatially averaged over the study region and the trajectory of declining April 1st snowpack reverses at mid-elevations where snow pack losses are mitigated by topographic shading and cold-air pooling. Under future climates with sustained or increased precipitation, our results indicate a high likelihood for the persistence of late spring snowpack at elevations above approximately 2,800 m and identify potential climate refugia sites for snow-dependent species at mid-elevations, where significant topographic shading and cold-air pooling potential exist.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0106984","usgsCitation":"Curtis, J.A., Flint, L.E., Flint, A.L., Lundquist, J., Hudgens, B., Boydston, E.E., and Young, J.K., 2014, Incorporating cold-air pooling into downscaled climate models increases potential refugia for snow-dependent species within the Sierra Nevada Ecoregion, CA: PLoS ONE, v. 9, no. 9, p. 1-13, https://doi.org/10.1371/journal.pone.0106984.","productDescription":"e0124729; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-052199","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0106984","text":"Publisher Index Page"},{"id":293430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293429,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0106984"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.96,34.93 ], [ -122.96,42.58 ], [ -116.86,42.58 ], [ -116.86,34.93 ], [ -122.96,34.93 ] ] ] } } ] }","volume":"9","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-09-04","publicationStatus":"PW","scienceBaseUri":"54096eb1e4b03a5cfcdfafbd","contributors":{"authors":[{"text":"Curtis, Jennifer A. 0000-0001-7766-994X jacurtis@usgs.gov","orcid":"https://orcid.org/0000-0001-7766-994X","contributorId":927,"corporation":false,"usgs":true,"family":"Curtis","given":"Jennifer","email":"jacurtis@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":500133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":500134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":500135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lundquist, Jessica D.","contributorId":12792,"corporation":false,"usgs":true,"family":"Lundquist","given":"Jessica D.","affiliations":[],"preferred":false,"id":500137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudgens, Brian","contributorId":34058,"corporation":false,"usgs":true,"family":"Hudgens","given":"Brian","email":"","affiliations":[],"preferred":false,"id":500138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500136,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Julie K.","contributorId":69473,"corporation":false,"usgs":true,"family":"Young","given":"Julie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":500139,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70123324,"text":"70123324 - 2014 - Physiological condition of juvenile wading birds in relation to multiple landscape stressors in the Florida Everglades: effects of hydrology, prey availability, and mercury bioaccumulation","interactions":[],"lastModifiedDate":"2018-09-14T16:48:36","indexId":"70123324","displayToPublicDate":"2014-09-04T15:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Physiological condition of juvenile wading birds in relation to multiple landscape stressors in the Florida Everglades: effects of hydrology, prey availability, and mercury bioaccumulation","docAbstract":"The physiological condition of juvenile birds can be influenced by multiple ecological stressors, and few studies have concurrently considered the effects of environmental contaminants in combination with ecological attributes that can influence foraging conditions and prey availability. Using three temporally distinct indices of physiological condition, we compared the physiological response of nestling great egrets (Ardea alba) and white ibises (Eudocimus albus) to changing prey availability, hydrology (water depth, recession rate), and mercury exposure in the Florida Everglades. We found that the physiological response of chicks varied between species and among environmental variables. Chick body condition (short-term index) and fecal corticosterone levels (medium-term) were influenced by wetland water depth, prey availability, region, and age, but not by mercury contamination. However, mercury exposure did influence heat shock protein 70 (HSP70) in egret chicks, indicating a longer-term physiological response to contamination. Our results indicate that the physiological condition of egret and ibis chicks were influenced by several environmental stressors, and the time frame of the effect may depend on the specialized foraging behavior of the adults provisioning the chicks.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0106447","usgsCitation":"Herring, G., Eagles-Smith, C.A., Gawlik, D.E., Beerens, J., and Ackerman, J., 2014, Physiological condition of juvenile wading birds in relation to multiple landscape stressors in the Florida Everglades: effects of hydrology, prey availability, and mercury bioaccumulation: PLoS ONE, v. 9, no. 9, 10 p., https://doi.org/10.1371/journal.pone.0106447.","productDescription":"10 p.","ipdsId":"IP-056103","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0106447","text":"Publisher Index Page"},{"id":293428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293341,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0106447"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.46309,26.471496 ], [ -80.46309,26.527636 ], [ -80.208971,26.527636 ], [ -80.208971,26.471496 ], [ -80.46309,26.471496 ] ] ] } } ] }","volume":"9","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-09-03","publicationStatus":"PW","scienceBaseUri":"542a66b5e4b01535cb427298","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":500016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":500015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":500018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beerens, James M. 0000-0001-8143-916X","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":25440,"corporation":false,"usgs":false,"family":"Beerens","given":"James M.","affiliations":[],"preferred":false,"id":500017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500019,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70115049,"text":"sim3306 - 2014 - California State Waters Map Series — Offshore of San Gregorio, California","interactions":[],"lastModifiedDate":"2022-04-18T19:14:54.096311","indexId":"sim3306","displayToPublicDate":"2014-09-04T12:59:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3306","title":"California State Waters Map Series — Offshore of San Gregorio, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California's State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.
\nThe Offshore of San Gregorio map area is located in northern California, on the Pacific coast of the San Francisco Peninsula about 50 kilometers south of the Golden Gate. The map area lies offshore of the Santa Cruz Mountains, part of the northwest-trending Coast Ranges that run roughly parallel to the San Andreas Fault Zone. The Santa Cruz Mountains lie between the San Andreas Fault Zone and the San Gregorio Fault system.
\nThe nearest significant onshore cultural centers in the map area are San Gregorio and Pescadero, both unincorporated communities with populations well under 1,000. Both communities are situated inland of state beaches that share their names. No harbor facilities are within the Offshore of San Gregorio map area. The hilly coastal area is virtually undeveloped grazing land for sheep and cattle.
\nThe coastal geomorphology is controlled by late Pleistocene and Holocene slip in the San Gregorio Fault system. A westward bend in the San Andreas Fault Zone, southeast of the map area, coupled with right-lateral movement along the San Gregorio Fault system have caused regional folding and uplift. The coastal area consists of high coastal bluffs and vertical sea cliffs. Coastal promontories in the northern and southern parts of the map area are the result of right-lateral motion on strands of the San Gregorio Fault system. In the south, headlands near Pescadero Point have been uplifted by motion along the west strand of the San Gregorio Fault (also called the Frijoles Fault), which separates rocks of the Pigeon Point Formation south of the fault from rocks of the Purisima Formation north of the fault. The regional uplift in this map area has caused relatively shallow water depths within California's State Waters and, thus, little accommodation space for sediment accumulation. Sediment is observed offshore in the central part of the map area, in the shelter of the headlands north of the east strand of the San Gregorio Fault (also called the Coastways Fault) around Miramontes Point (about 5 km north of the map area) and also on the outer half of the California's State Waters shelf in the south where depths exceed 40 m. Sediment in the outer shelf of California's State Waters is rippled, indicating some mobility.
\nThe Offshore of San Gregorio map area lies within the cold-temperate biogeographic zone that is called either the \"Oregonian province\" or the \"northern California ecoregion.\" This biogeographic province is maintained by the long-term stability of the southward-flowing California Current, an eastern limb of the North Pacific subtropical gyre that flows from Oregon to Baja California. At its midpoint off central California, the California Current transports subarctic surface (0–500 m deep) waters southward, about 150 to 1,300 km from shore. Seasonal northwesterly winds that are, in part, responsible for the California Current, generate coastal upwelling. The south end of the Oregonian province is at Point Conception (about 350 km south of the map area), although its associated phylogeographic group of marine fauna may extend beyond to the area offshore of Los Angeles in southern California. The ocean off of central California has experienced a warming over the last 50 years that is driving an ecosystem shift away from the productive subarctic regime towards a depopulated subtropical environment.
\nSeafloor habitats in the Offshore of San Gregorio map area, which lies within the Shelf (continental shelf) megahabitat, range from significant rocky outcrops that support kelp-forest communities nearshore to rocky-reef communities in deep water. Biological productivity resulting from coastal upwelling supports diverse populations of sea birds such as Sooty Shearwater, Western Gull, Common Murre, Cassin's Auklet, and many other less populous bird species. In addition, an observable recovery of Humpback and Blue Whales has occurred in the area; both species are dependent on coastal upwelling to provide nutrients. The large extent of exposed inner shelf bedrock supports large forests of \"bull kelp,\" which is well adapted for high wave-energy environments. Common fish species found in the kelp beds and rocky reefs include lingcod and various species of rockfish and greenling.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3306","usgsCitation":"Cochrane, G.R., Dartnell, P., Greene, H., Watt, J., Golden, N., Endris, C.A., Phillips, E., Hartwell, S., Johnson, S.Y., Kvitek, R.G., Erdey, M.D., Bretz, C.K., Manson, M.W., Sliter, R.W., Ross, S.L., Dieter, B., Chin, J., and Cochran, S., 2014, California State Waters Map Series — Offshore of San Gregorio, California: U.S. Geological Survey Scientific Investigations Map 3306, Pamphlet: iv, 38 p.; 10 Plates: 50.0 x 36.0 inches or smaller, https://doi.org/10.3133/sim3306.","productDescription":"Pamphlet: iv, 38 p.; 10 Plates: 50.0 x 36.0 inches or smaller","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051117","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":293419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3306.jpg"},{"id":293409,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet1.pdf"},{"id":293410,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet2.pdf"},{"id":293412,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet4.pdf"},{"id":293411,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet3.pdf"},{"id":293413,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet5.pdf"},{"id":293414,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet6.pdf"},{"id":293415,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet7.pdf"},{"id":293416,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet8.pdf"},{"id":293417,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet9.pdf"},{"id":293418,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_sheet10.pdf"},{"id":293408,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3306/"},{"id":293420,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3306/pdf/sim3306_pamphlet.pdf"},{"id":398962,"rank":14,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100686.htm"}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 10N","country":"United States","state":"California","city":"San Gregorio","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.55,37.216667 ], [ -122.55,37.4 ], [ -122.333333,37.4 ], [ -122.333333,37.216667 ], [ -122.55,37.216667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54096eafe4b03a5cfcdfafb2","contributors":{"editors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":509912,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":509913,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greene, H. Gary","contributorId":87983,"corporation":false,"usgs":true,"family":"Greene","given":"H. Gary","affiliations":[],"preferred":false,"id":495509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Golden, Nadine E.","contributorId":58356,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine E.","affiliations":[],"preferred":false,"id":495507,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Endris, Charles A.","contributorId":87824,"corporation":false,"usgs":true,"family":"Endris","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495508,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Eleyne L.","contributorId":104289,"corporation":false,"usgs":true,"family":"Phillips","given":"Eleyne L.","affiliations":[],"preferred":false,"id":495511,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hartwell, Stephen R.","contributorId":31669,"corporation":false,"usgs":true,"family":"Hartwell","given":"Stephen R.","affiliations":[],"preferred":false,"id":495505,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495497,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kvitek, Rikk G.","contributorId":107804,"corporation":false,"usgs":true,"family":"Kvitek","given":"Rikk","email":"","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495512,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Erdey, Mercedes D. merdey@usgs.gov","contributorId":5411,"corporation":false,"usgs":true,"family":"Erdey","given":"Mercedes","email":"merdey@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495500,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bretz, Carrie K.","contributorId":25472,"corporation":false,"usgs":true,"family":"Bretz","given":"Carrie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":495503,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Manson, Michael W.","contributorId":50447,"corporation":false,"usgs":true,"family":"Manson","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":495506,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495496,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ross, Stephanie L. 0000-0003-1389-4405 sross@usgs.gov","orcid":"https://orcid.org/0000-0003-1389-4405","contributorId":1024,"corporation":false,"usgs":true,"family":"Ross","given":"Stephanie","email":"sross@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495495,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Dieter, Bryan E.","contributorId":21859,"corporation":false,"usgs":true,"family":"Dieter","given":"Bryan E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495502,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Chin, John L.","contributorId":98291,"corporation":false,"usgs":true,"family":"Chin","given":"John L.","affiliations":[],"preferred":false,"id":495510,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":495504,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70118930,"text":"fs20143067 - 2014 - Science for the stewardship of the groundwater resources of Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2019-05-13T15:53:00","indexId":"fs20143067","displayToPublicDate":"2014-09-04T09:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3067","title":"Science for the stewardship of the groundwater resources of Cape Cod, Massachusetts","docAbstract":"Groundwater is the sole source of drinking water and a major source of freshwater for domestic, industrial, and agricultural uses on Cape Cod, Massachusetts. Groundwater discharged from aquifers also supports freshwater pond and stream ecosystems and coastal wetlands. Six hydraulically distinct groundwater-flow systems (lenses) have been delineated on Cape Cod. Of the approximately 450 million gallons per day of water that enters these lenses as recharge from precipitation, about 69 percent discharges directly to the coast, about 24 percent discharges to streams, and almost 7 percent is withdrawn by public-supply wells. In most areas, groundwater in the sand and gravel aquifers is shallow and susceptible to contamination from anthropogenic sources and saltwater intrusion. Continued land development and population growth on Cape Cod have created concerns that potable water will become less available and that the quantity and quality of water flowing to natural discharge areas such as ponds, streams, and coastal waters will continue to decline.
\nThe U.S. Geological Survey (USGS) has been investigating groundwater and surface-water resources on Cape Cod for more than 50 years. Recent studies highlighted in this fact sheet have focused on the sources of water to public-supply wells, ponds, streams, and coastal areas; the transport and discharge of nitrogen derived from domestic and municipal disposal of wastewater; and the effects of climate change on groundwater and surface-water resources. Other USGS activities include long-term monitoring of groundwater and pond levels and field research on groundwater contamination at the USGS Cape Cod Toxic Substances Hydrology Research Site (http://ma.water.usgs.gov/MMRCape/) near the Joint Base Cape Cod (JBCC), formerly the Massachusetts Military Reservation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143067","collaboration":"This fact sheet was prepared with support from the Toxic Substances Hydrology and Groundwater Resources Programs of the U.S. Geological Survey.","usgsCitation":"Barbaro, J.R., Masterson, J., and LeBlanc, D.R., 2014, Science for the stewardship of the groundwater resources of Cape Cod, Massachusetts: U.S. Geological Survey Fact Sheet 2014-3067, 6 p., https://doi.org/10.3133/fs20143067.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-057579","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":293356,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3067/"},{"id":293358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143067.jpg"},{"id":293357,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3067/pdf/fs2014-3067.pdf"}],"country":"United States","state":"Massachusetts","city":"Cape Cod","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.25,41.50 ], [ -70.25,42.15 ], [ -70.00,42.15 ], [ -70.00,41.50 ], [ -70.25,41.50 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542a66b8e4b01535cb4272b5","contributors":{"authors":[{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142 jrbarbar@usgs.gov","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":1626,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"jrbarbar@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":497521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497520,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70117443,"text":"ds871 - 2014 - Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, July 2013","interactions":[],"lastModifiedDate":"2014-09-03T14:20:15","indexId":"ds871","displayToPublicDate":"2014-09-03T14:09:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"871","title":"Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, July 2013","docAbstract":"Previous investigations indicate that concentrations of chlorinated volatile organic compounds (CVOCs) are substantial in groundwater beneath the 9-acre former landfill at Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington. The U.S. Geological Survey has continued to monitor groundwater geochemistry to ensure that conditions remain favorable for contaminant biodegradation as specified in the Record of Decision for the site.
\nThis report presents groundwater geochemical and selected CVOC data collected at Operable Unit 1 by the U.S. Geological Survey during July 9–18, 2013, in support of longterm monitoring for natural attenuation. Groundwater samples were collected from 13 wells and 9 piezometers, as well as from 10 shallow groundwater passive-diffusion sampling sites in the nearby marsh. Samples from all wells and piezometers were analyzed for oxidation-reduction (redox) sensitive constituents and dissolved gases. Samples from all piezometers and four wells also were analyzed for CVOCs, as were all samples from the passive-diffusion sampling sites.
\nIn 2013, concentrations of redox-sensitive constituents measured at all wells and piezometers were consistent with those measured in previous years, with dissolved oxygen concentrations at all except an upgradient well 0.2 milligrams per liter or less; little to no detectable nitrate; abundant dissolved manganese, iron, and methane; and commonly detected sulfide. In the upper aquifer of the northern plantation in 2013, CVOC concentrations at all piezometers were similar to those measured in previous years, and concentrations of the reductive dechlorination byproducts ethane and ethene were slightly lower or the same as concentrations measured in 2012. In the upper aquifer of the southern plantation, CVOC concentrations measured in piezometers during 2013 continued to be variable as in previous years, and often very high, and reductive dechlorination byproducts were detected in two of the three wells and in all but one piezometer. Beneath the marsh adjacent to the southern plantation, chloroethene concentrations measured in 2013 continued to vary spatially and temporaly, and also were very high. Total CVOC concentrations, at what have been historically the most contaminated passive-diffusion sampler sites (S-4, S-4B, S-5, and S-5B) remained elevated. For the intermediate aquifer in 2013, concentrations of reductive dechlorination byproducts ethane and ethene and CVOCs were consistent with those measured in previous years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds871","collaboration":"Prepared in cooperation with Department of the Navy, Naval Facilities Engineering Command, Northwest","usgsCitation":"Huffman, R.L., 2014, Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, July 2013: U.S. Geological Survey Data Series 871, iv, 45 p., https://doi.org/10.3133/ds871.","productDescription":"iv, 45 p.","numberOfPages":"54","onlineOnly":"Y","temporalStart":"2013-07-09","temporalEnd":"2013-07-18","ipdsId":"IP-054013","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":293338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds871.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":293336,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/871/"},{"id":293337,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/871/pdf/ds871.pdf"}],"country":"United States","state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.06,47.24 ], [ -123.06,48.14 ], [ -121.75,48.14 ], [ -121.75,47.24 ], [ -123.06,47.24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54081d30e4b03a4d430775c1","contributors":{"authors":[{"text":"Huffman, Raegan L. 0000-0001-8523-5439 rhuffman@usgs.gov","orcid":"https://orcid.org/0000-0001-8523-5439","contributorId":1638,"corporation":false,"usgs":true,"family":"Huffman","given":"Raegan","email":"rhuffman@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495993,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70117821,"text":"ds873 - 2014 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2013","interactions":[],"lastModifiedDate":"2021-08-26T14:12:58.688485","indexId":"ds873","displayToPublicDate":"2014-09-03T11:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"873","displayTitle":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2013","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2013","docAbstract":"The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25–40 miles wide. The basin is defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift within the basin. Drinking-water supplies throughout the basin were obtained solely from groundwater resources until December 2008, when treatment and distribution of surface water from the Rio Grande began. A population increase of about 20 percent in the basin from 1990 to 2000 and a 22-percent increase from 2000 to 2010 resulted in an increased demand for water. An initial network of wells was established by the U.S. Geological Survey (USGS) in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the basin. This network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly in 1983. Currently (2013), the network consists of 123 wells and piezometers. (A piezometer is a specialized well open to a specific depth in the aquifer, often of small diameter and nested with other piezometers open to different depths.) The USGS, in cooperation with the Albuquerque Bernalillo County Water Utility Authority, currently (2013) measures and reports water levels from the 123 wells and piezometers in the network; this report presents water-level data collected by USGS personnel at those 123 sites through water year 2013.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds873","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Beman, J.E., 2014, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2013 (ver. 1.1, August 2021): U.S. Geological Survey Data Series 873, 40 p., https://doi.org/10.3133/ds873.","productDescription":"iii, 40 p.","numberOfPages":"47","onlineOnly":"Y","temporalStart":"2012-10-01","temporalEnd":"2013-09-30","ipdsId":"IP-056615","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":388352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/873/coverthb.jpg"},{"id":388353,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/873/ds873.pdf","text":"Report","size":"6.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 873"},{"id":388354,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/873/versionHist.txt","text":"Version History","size":"536 B","linkFileType":{"id":2,"text":"txt"},"description":"DS 873 Version History"}],"country":"United States","state":"New Mexico","otherGeospatial":"Albuquerque Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.52,33.99 ], [ -107.52,35.97 ], [ -106.27,35.97 ], [ -106.27,33.99 ], [ -107.52,33.99 ] ] ] } } ] }","edition":"Version 1.1: August 2021","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
The Chinese mystery snail (Bellamya chinensis) is a freshwater snail native to Southeast Asia, Japan, and Russia and is currently classified as an invasive species in at least 27 states in the USA. The species tolerates a wide range of environmental conditions, making management of established populations difficult. We tested the efficacy of two traditional chemical treatments, rotenone and copper sulfate, on the elimination of adult Chinese mystery snails in laboratory experiments. All snails (N=50) survived 72-hour exposure to rotenone-treated lake water, and 96% (N=25) survived 72-hour exposure to pre-determined rotenone concentrations of 0.25, 2.5, and 25.0 mg/L. All snails (N=10) survived exposure to 1.25 mg/L copper sulfate solution, 90% (N=10) survived exposure to 2.50 mg/L copper sulfate solution, and 80% (N=5) survived exposure to 5.0 mg/L copper sulfate solution. Neither rotenone nor copper sulfate effectively killed adult Chinese mystery snails in laboratory experiments, most likely due to their relatively large size, thick shell, and operculum. Therefore, it appears that populations will be very difficult to control once established, and management should focus on preventing additional spread or introductions of this species.
\nA major issue facing the greater New Hanover County, North Carolina, area is the increased demand for drinking water resources as a result of rapid growth. The principal sources of freshwater supply in the greater New Hanover County area are withdrawals of surface water from the Cape Fear River and groundwater from the underlying Castle Hayne and Peedee aquifers. Industrial, mining, irrigation, and aquaculture groundwater withdrawals increasingly compete with public-supply utilities for freshwater resources. Future population growth and economic expansion will require increased dependence on high-quality sources of fresh groundwater.
\nAn evaluation of the hydrogeology and water-quality conditions in the surficial, Castle Hayne, and Peedee aquifers was conducted in New Hanover, eastern Brunswick, and southern Pender Counties, North Carolina. A hydrogeologic framework was delineated by using a description of the geologic and hydrogeologic units that compose aquifers and their confining units. Current and historic water-level, water-quality, and water-isotope data were used to approximate the present boundary between freshwater and brackish water in the study area.
\nWater-level data collected during August–September 2012 and March 2013 in the Castle Hayne aquifer show that recharge areas with the highest groundwater altitudes are located in central New Hanover County, and the lowest are located in a discharge area along the Atlantic Ocean. Between 1964 and 2012, groundwater levels in the Castle Hayne aquifer in central New Hanover County have rebounded by about 10 feet, but in the Pages Creek area groundwater levels declined in excess of 20 feet. In the Peedee aquifer, the August–September 2012 groundwater levels were affected by industrial withdrawals in north-central New Hanover County. Groundwater levels in the Peedee aquifer declined more than 20 feet between 1964 and 2012 in northeastern New Hanover County because of increased withdrawals. Vertical gradients calculated between the Castle Hayne and Peedee aquifers at six well cluster sites were downward in August–September 2012 and March 2013 with the exception of one well pair that had a slight upward gradient in March 2013.
\nMajor ion chemistry results from samples collected in August–September 2012 from 97 well sites suggest that seawater is mixing with groundwater in both the Castle Hayne and Peedee aquifers in several locations in Brunswick, New Hanover, and Pender Counties. The 250 milligram per liter line of equal chloride concentration has moved inland in both aquifers since 1965, with the area between Futch and Pages Creeks in northeastern New Hanover County experiencing the greatest increase. Groundwater from the surficial, Castle Hayne, and Peedee aquifers had a stable isotope of water composition similar to that of modern precipitation. A comparison of chloride concentration data collected from public-supply wells in the 1960s with that collected in 2012 shows marked increases in chloride concentrations in the Peedee aquifer near the town of Carolina Beach at the southern end of New Hanover County.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145169","collaboration":"Prepared in cooperation with the Cape Fear Public Utility Authority","usgsCitation":"McSwain, K., Gurley, L., and Antolino, D., 2014, Hydrogeology, hydraulic characteristics, and water-quality conditions in the surficial, Castle Hayne and Peedee aquifers of the greater New Hanover County area, North Carolina, 2012-13: U.S. Geological Survey Scientific Investigations Report 2014-5169, Report: ix, 52 p.; 2 Appendixes, https://doi.org/10.3133/sir20145169.","productDescription":"Report: ix, 52 p.; 2 Appendixes","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051297","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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,{"id":70119630,"text":"sir20145151 - 2014 - Stream seepage and groundwater levels, Wood River Valley, south-central Idaho, 2012-13","interactions":[],"lastModifiedDate":"2014-09-04T09:20:13","indexId":"sir20145151","displayToPublicDate":"2014-09-02T11:49:00","publicationYear":"2014","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":"2014-5151","title":"Stream seepage and groundwater levels, Wood River Valley, south-central Idaho, 2012-13","docAbstract":"Stream discharge and water levels in wells were measured at multiple sites in the Wood River Valley, south-central Idaho, in August 2012, October 2012, and March 2013, as a component of data collection for a groundwater-flow model of the Wood River Valley aquifer system. This model is a cooperative and collaborative effort between the U.S. Geological Survey and the Idaho Department of Water Resources.
\nStream-discharge measurements for determination of seepage were made during several days on three occasions: August 27–28, 2012, October 22–24, 2012, and March 27–28, 2013. Discharge measurements were made at 49 sites in August and October, and 51 sites in March, on the Big Wood River, Silver Creek, their tributaries, and nearby canals.
\nThe Big Wood River generally gains flow between the Big Wood River near Ketchum streamgage (13135500) and the Big Wood River at Hailey streamgage (13139510), and loses flow between the Hailey streamgage and the Big Wood River at Stanton Crossing near Bellevue streamgage (13140800). Shorter reaches within these segments may differ in the direction or magnitude of seepage or may be indeterminate because of measurement uncertainty. Additional reaches were measured on Silver Creek, the North Fork Big Wood River, Warm Springs Creek, Trail Creek, and the East Fork Big Wood River. Discharge measurements also were made on the Hiawatha, Cove, District 45, Glendale, and Bypass Canals, and smaller tributaries to the Big Wood River and Silver Creek.
\nWater levels in 93 wells completed in the Wood River Valley aquifer system were measured during October 22–24, 2012; these wells are part of a network established by the U.S. Geological Survey in 2006. Maps of the October 2012 water-table altitude in the unconfined aquifer and the potentiometric-surface altitude of the confined aquifer have similar topology to those on maps of October 2006 conditions.
\nBetween October 2006 and October 2012, water-table altitude in the unconfined aquifer rose by as much as 1.86 feet in 6 wells and declined by as much as 14.28 feet in 77 wells; average decline was 2.9 feet. A map of changes in the water‑table altitude of the unconfined aquifer shows that the largest declines were in tributary canyons and in an area roughly between Baseline and Glendale Roads.
\nFrom October 2006 to October 2012, the potentiometric-surface altitude in 10 wells completed in the confined aquifer declined between 0.12 and 20.50 feet; average decline was 6.8 feet. A map of changes in the potentiometric-surface altitude of the confined aquifer shows that the largest declines were in the southwestern part of the Bellevue fan.
\nReduced precipitation prior to the October 2012 water-level measurements likely is partially responsible for 2006–12 water-table declines in the unconfined aquifer; the relative contribution of precipitation deficit and groundwater withdrawals to the declines is not known. Although the confined aquifer may not receive direct recharge from precipitation or streams, groundwater withdrawal from the confined aquifer induces flow from the unconfined aquifer. Declines in the confined aquifer are likely due to groundwater withdrawals and declines in the water table of the unconfined aquifer. A statistical analysis of five long-term monitoring wells (three completed in the unconfined aquifer, one in the confined aquifer, and one outside the aquifer system boundary) showed statistically significant declining trends in four wells.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145151","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Bartolino, J.R., 2014, Stream seepage and groundwater levels, Wood River Valley, south-central Idaho, 2012-13: U.S. Geological Survey Scientific Investigations Report 2014-5151, Report: v, 34 p.; 3 Plates: 16.02 x 24.50 inches or smaller, https://doi.org/10.3133/sir20145151.","productDescription":"Report: v, 34 p.; 3 Plates: 16.02 x 24.50 inches or smaller","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-039539","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":293290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145151.jpg"},{"id":293286,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151.pdf"},{"id":293287,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151_Plate01.pdf"},{"id":293288,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151_Plate02.pdf"},{"id":293289,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5151/pdf/sir2014-5151_Plate03.pdf"},{"id":293285,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5151/"}],"country":"United States","state":"Idaho","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.299315,43.3254 ], [ -114.299315,43.341632 ], [ -114.33133,43.341632 ], [ -114.33133,43.3254 ], [ -114.299315,43.3254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5406cbb1e4b044dc0e823997","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497746,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70058554,"text":"70058554 - 2014 - Using posts to an online social network to assess fishing effort","interactions":[],"lastModifiedDate":"2015-11-13T15:44:46","indexId":"70058554","displayToPublicDate":"2014-09-01T16:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Using posts to an online social network to assess fishing effort","docAbstract":"Fisheries management has evolved from reservoir to watershed management, creating a need to simultaneously gather information within and across interacting reservoirs. However, costs to gather information on the fishing effort on multiple reservoirs using traditional creel methodology are often prohibitive. Angler posts about reservoirs online provide a unique medium to test hypotheses on the distribution of fishing pressure. We show that the activity on an online fishing social network is related to fishing effort and can be used to facilitate management goals. We searched the Nebraska Fish and Game Association Fishing Forum for all references from April 2009 to December 2010 to 19 reservoirs that comprise the Salt Valley regional fishery in southeastern Nebraska. The number of posts was positively related to monthly fishing effort on a regional scale, with individual reservoirs having the most annual posts also having the most annual fishing effort. Furthermore, this relationship held temporally. Online fishing social networks provide the potential to assess effort on larger spatial scales than currently feasible.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.fishres.2014.03.013","usgsCitation":"Martin, D., Chizinski, C.J., Eskridge, K.M., and Pope, K.L., 2014, Using posts to an online social network to assess fishing effort: Fisheries Research, v. 157, p. 24-27, https://doi.org/10.1016/j.fishres.2014.03.013.","productDescription":"4 p.","startPage":"24","endPage":"27","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039480","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":311319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Salt Valley watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.02850341796875,\n 40.212440718286466\n ],\n [\n -97.02850341796875,\n 40.81796653313175\n ],\n [\n -96.295166015625,\n 40.81796653313175\n ],\n [\n -96.295166015625,\n 40.212440718286466\n ],\n [\n -97.02850341796875,\n 40.212440718286466\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"157","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564717e3e4b0e2669b313136","contributors":{"authors":[{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":579815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":579816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eskridge, Kent M.","contributorId":149856,"corporation":false,"usgs":false,"family":"Eskridge","given":"Kent","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":579817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L","contributorId":119665,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":518405,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70115187,"text":"70115187 - 2014 - Quantifying biomineralization of zinc in the Rio Naracauli (Sardinia, Italy), using a tracer injection and synoptic sampling","interactions":[],"lastModifiedDate":"2014-10-03T13:41:28","indexId":"70115187","displayToPublicDate":"2014-09-01T13:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying biomineralization of zinc in the Rio Naracauli (Sardinia, Italy), using a tracer injection and synoptic sampling","docAbstract":"Streams draining mined areas throughout the world commonly have high concentrations of Zn. Because Zn is not easily removed from stream water and because it can be toxic to aquatic organisms, its presence is a persistent problem. The discovery of biomineralization of Zn-bearing solids in the mine drainage of Rio Naracauli, in Sardinia, Italy, provides insights into strategies for removing Zn and improving water quality in streams affected by mine drainage. Until now, the transport and attenuation of Zn has not been quantified in this stream setting. A continuous tracer injection experiment was conducted to quantify the biomineralization process and to identify the loading of constituents that causes a change from precipitation of hydrozincite [Zn5(CO3)2(OH)6] in the upstream reach to precipitation of a Zn-silicate phase downstream. Based on the mass-load calculations derived from the tracer experiment, about 1.2 kg/day of Zn is sequestered in hydrozincite. This biomineralization represents nearly 90% removal of Zn. Other elements such as Pb and Cd also are sequestered, either in the hydrozincite, or in a separate phase that forms simultaneously. In the lower 600 m of the stream, where the Zn-silicate forms, as much as 0.7 kg/day Zn are sequestered in this solid, but additions of Zn to the stream from groundwater discharge lead to an overall increase in load in that portion of the Rio Naracauli.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2014.07.002","usgsCitation":"De Giudici, G., Wanty, R.B., Podda, F., Kimball, B.A., Verplanck, P.L., Lattanzi, P., Cidu, R., and Medas, D., 2014, Quantifying biomineralization of zinc in the Rio Naracauli (Sardinia, Italy), using a tracer injection and synoptic sampling: Chemical Geology, v. 384, p. 110-119, https://doi.org/10.1016/j.chemgeo.2014.07.002.","productDescription":"10 p.","startPage":"110","endPage":"119","numberOfPages":"10","ipdsId":"IP-055444","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":294922,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2014.07.002"},{"id":294923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","state":"Sardinia","volume":"384","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542fbaa9e4b092f17df61d9e","contributors":{"authors":[{"text":"De Giudici, Giovanni","contributorId":12799,"corporation":false,"usgs":true,"family":"De Giudici","given":"Giovanni","affiliations":[],"preferred":false,"id":495582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":495579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Podda, F.","contributorId":89074,"corporation":false,"usgs":false,"family":"Podda","given":"F.","affiliations":[],"preferred":false,"id":495584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":495581,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lattanzi, P.","contributorId":100305,"corporation":false,"usgs":true,"family":"Lattanzi","given":"P.","affiliations":[],"preferred":false,"id":495585,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cidu, R.","contributorId":22708,"corporation":false,"usgs":true,"family":"Cidu","given":"R.","affiliations":[],"preferred":false,"id":495583,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Medas, D.","contributorId":108421,"corporation":false,"usgs":true,"family":"Medas","given":"D.","affiliations":[],"preferred":false,"id":495586,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70128740,"text":"70128740 - 2014 - Soil resources influence vegetation and response to fire and fire-surrogate treatments in sagebrush-steppe ecosystems","interactions":[],"lastModifiedDate":"2017-11-24T17:35:18","indexId":"70128740","displayToPublicDate":"2014-09-01T13:23:16","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Soil resources influence vegetation and response to fire and fire-surrogate treatments in sagebrush-steppe ecosystems","docAbstract":"Current paradigm suggests that spatial and temporal competition for resources limit an exotic invader, cheatgrass (Bromus tectorum L.), which once established, alters fire regimes and can result in annual grass dominance in sagebrush steppe. Prescribed fire and fire surrogate treatments (mowing, tebuthiuron, and imazapic) are used to reduce woody fuels and increase resistance to exotic annuals, but may alter resource availability and inadvertently favor invasive species. We used four study sites within the Sagebrush Steppe Treatment Evaluation Project (SageSTEP) to evaluate 1) how vegetation and soil resources were affected by treatment, and 2) how soil resources influenced native herbaceous perennial and exotic annual grass cover before and following treatment. Treatments increased resin exchangeable NH4+, NO3−, H2PO4−, and K+, with the largest increases caused by prescribed fire and prolonged by application of imazapic. Burning with imazapic application also increased the number of wet growing degree days. Tebuthiuron and imazapic reduced exotic annual grass cover, but imazapic also reduced herbaceous perennial cover when used with prescribed fire. Native perennial herbaceous species cover was higher where mean annual precipitation and soil water resources were relatively high. Exotic annual grass cover was higher where resin exchangeable H2PO4− was high and gaps between perennial plants were large. Prescribed fire, mowing, and tebuthiuron were successful at increasing perennial herbaceous cover, but the results were often ephemeral and inconsistent among sites. Locations with sandy soil, low mean annual precipitation, or low soil water holding capacity were more likely to experience increased exotic annual grass cover after treatment, and treatments that result in slow release of resources are needed on these sites. This is one of few studies that correlate abiotic variables to native and exotic species cover across a broad geographic setting, and that demonstrates how soil resources potentially influence the outcome of management treatments.","language":"English","publisher":"Society for Range Management","publisherLocation":"Lakewood, CO","doi":"10.2111/REM-D-14-00027.1","usgsCitation":"Rau, B.M., Chambers, J.C., Pyke, D.A., Roundy, B.A., Schupp, E., Doescher, P., and Caldwell, T., 2014, Soil resources influence vegetation and response to fire and fire-surrogate treatments in sagebrush-steppe ecosystems: Rangeland Ecology and Management, v. 67, no. 5, p. 506-521, https://doi.org/10.2111/REM-D-14-00027.1.","productDescription":"16 p.","startPage":"506","endPage":"521","ipdsId":"IP-057427","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":472782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2111/rem-d-14-00027.1","text":"Publisher Index Page"},{"id":295305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"543e3b31e4b0fd76af69cf34","contributors":{"authors":[{"text":"Rau, Benjamin M.","contributorId":105247,"corporation":false,"usgs":true,"family":"Rau","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":503164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambers, Jeanne C.","contributorId":92186,"corporation":false,"usgs":true,"family":"Chambers","given":"Jeanne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":503162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":503158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roundy, Bruce A.","contributorId":95824,"corporation":false,"usgs":true,"family":"Roundy","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":503163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schupp, Eugene W.","contributorId":83455,"corporation":false,"usgs":true,"family":"Schupp","given":"Eugene W.","affiliations":[],"preferred":false,"id":503161,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doescher, Paul","contributorId":60973,"corporation":false,"usgs":true,"family":"Doescher","given":"Paul","affiliations":[],"preferred":false,"id":503160,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caldwell, Todd G.","contributorId":34449,"corporation":false,"usgs":true,"family":"Caldwell","given":"Todd G.","affiliations":[],"preferred":false,"id":503159,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70133392,"text":"70133392 - 2014 - Using sightability-adjusted brood-pair ratios to estimate waterfowl productivity","interactions":[],"lastModifiedDate":"2017-11-27T12:44:53","indexId":"70133392","displayToPublicDate":"2014-09-01T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Using sightability-adjusted brood-pair ratios to estimate waterfowl productivity","docAbstract":"Historically, biologists used brood-pair ratios (BPRs) as an index to waterfowl productivity to help guide management decisions and evaluate conservation practices. However, BPRs are biased by imperfect detection probabilities, especially for broods. We conducted roadside surveys for breeding waterfowl pairs on 7–8 study sites in the springs of 2006–2008 in northeastern North Dakota, USA. Later each year, we conducted replicate counts of broods on the same wetlands and used mark–recapture methods to estimate sightability-adjusted BPRs (SA-BPRs). Traditional roadside brood surveys detected only 30–45% of the available broods, depending on species. We explored the potential for using SA-BPRs to measure hen success (i.e., the probability a female hatches ≥1 egg across all nesting attempts) for mallards (Anas platyrhynchos) and other upland-nesting dabbling ducks (Anas spp.). We found that SA-BPRs explained 40% of the variation in hen success over 5 species of dabbling ducks, and we were able to detect an effect of predator reduction on hen success in combined dabblers, but not in mallards alone. However, we found no relationship between SA-BPRs and mallard fledging rates (hen success × initial brood size × duckling survival). Our results suggest that SA-BPRs can provide a cost-effective alternative to traditional measures of productivity such as nesting success, but not to measures of duckling survival. Nevertheless, SA-BPRs may be useful in areas where traditional measures of waterfowl productivity are logistically or financially challenging.
","language":"English","publisher":"Wildlife Society","publisherLocation":"Bethesda, MD","usgsCitation":"Pagano, A.M., Amundson, C.L., Pieron, M., Arnold, T.W., and Kimmel, T.C., 2014, Using sightability-adjusted brood-pair ratios to estimate waterfowl productivity: Wildlife Society Bulletin, v. 38, no. 3, p. 566-573.","productDescription":"8 p.","startPage":"566","endPage":"573","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051068","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296021,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/wsb.422/abstract"}],"volume":"38","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5465d63fe4b04d4b7dbd66da","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":525111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":525110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pieron, Matt","contributorId":127428,"corporation":false,"usgs":false,"family":"Pieron","given":"Matt","email":"","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":525113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arnold, Todd W.","contributorId":36058,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd","email":"","middleInitial":"W.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":525112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kimmel, Timothy C.","contributorId":127429,"corporation":false,"usgs":false,"family":"Kimmel","given":"Timothy","email":"","middleInitial":"C.","affiliations":[{"id":6947,"text":"Providence Engineering and Environmental Group","active":true,"usgs":false}],"preferred":false,"id":525114,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156769,"text":"70156769 - 2014 - Integrated conceptual ecological model and habitat indices for the southwest Florida coastal wetlands","interactions":[],"lastModifiedDate":"2015-08-31T11:09:54","indexId":"70156769","displayToPublicDate":"2014-09-01T12:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Integrated conceptual ecological model and habitat indices for the southwest Florida coastal wetlands","docAbstract":"The coastal wetlands of southwest Florida that extend from Charlotte Harbor south to Cape Sable, contain more than 60,000 ha of mangroves and 22,177 ha of salt marsh. These coastal wetlands form a transition zone between the freshwater and marine environments of the South Florida Coastal Marine Ecosystem (SFCME). The coastal wetlands provide diverse ecosystem services that are valued by society and thus are important to the economy of the state. Species from throughout the region spend part of their life cycle in the coastal wetlands, including many marine and coastal-dependent species, making this zone critical to the ecosystem health of the Everglades and the SFCME. However, the coastal wetlands are increasingly vulnerable due to rising sea level, changes in storm intensity and frequency, land use, and water management practices. They are at the boundary of the region covered by the Comprehensive Everglades Restoration Plan (CERP), and thus are impacted by both CERP and marine resource management decisions. An integrated conceptual ecological model (ICEM) for the southwest coastal wetlands of Florida was developed that illustrates the linkages between drivers, pressures, ecological process, and ecosystem services. Five ecological indicators are presented: (1) mangrove community structure and spatial extent; (2) waterbirds; (3) prey-base fish and macroinvertebrates; (4) crocodilians; and (5) periphyton. Most of these indicators are already used in other areas of south Florida and the SFCME, and therefore will allow metrics from the coastal wetlands to be used in system-wide assessments that incorporate the entire Greater Everglades Ecosystem.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolind.2014.01.007","collaboration":"NOAA, National Park Service (Everglades NP), US Fish & Wildlife Service, Florida Audubon Society","usgsCitation":"Wingard, G.L., and Lorenz, J.L., 2014, Integrated conceptual ecological model and habitat indices for the southwest Florida coastal wetlands: Ecological Indicators, v. 44, p. 92-107, https://doi.org/10.1016/j.ecolind.2014.01.007.","productDescription":"16 p.","startPage":"92","endPage":"107","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038687","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":307718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e57ab0e4b05561fa2086a3","contributors":{"authors":[{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":570446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, J. L.","contributorId":147122,"corporation":false,"usgs":false,"family":"Lorenz","given":"J.","email":"","middleInitial":"L.","affiliations":[{"id":16789,"text":"Audubon Society of Florida","active":true,"usgs":false}],"preferred":false,"id":570447,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70148177,"text":"70148177 - 2014 - Multiscale habitat selection of wetland birds in the northern Gulf Coast","interactions":[],"lastModifiedDate":"2015-05-26T11:05:30","indexId":"70148177","displayToPublicDate":"2014-09-01T12:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale habitat selection of wetland birds in the northern Gulf Coast","docAbstract":"The spatial scale of habitat selection has become a prominent concept in ecology, but has received less attention in coastal ecology. In coastal marshes, broad-scale marsh types are defined by vegetation composition over thousands of hectares, water-level management is applied over hundreds of hectares, and fine-scale habitat is depicted by tens of meters. Individually, these scales are known to affect wetland fauna, but studies have not examined all three spatial scales simultaneously. We investigated wetland bird habitat selection at the three scales and compared single- and multiscale models. From 2009 to 2011, we surveyed marsh birds (i.e., Rallidae, bitterns, grebes), shorebirds, and wading birds in fresh and intermediate (oligohaline) coastal marsh in Louisiana and Texas, USA. Within each year, six repeated surveys of wintering, resident, and migratory breeding birds were conducted at > 100 points (n = 304). The results revealed fine-scale factors, primarily water depth, were consistently better predictors than marsh type or management. However, 10 of 11 species had improved models with the three scales combined. Birds with a linear association with water depth were, correspondingly, most abundant with deeper fresh marsh and permanently impounded water. Conversely, intermediate marsh had a greater abundance of shallow water species, such as king rail Rallus elegans, least bittern Ixobrychus exilis, and sora Porzana carolina. These birds had quadratic relationships with water depth or no relationship. Overall, coastal birds were influenced by multiple scales corresponding with hydrological characteristics. The effects suggest the timing of drawdowns and interannual variability in spring water levels can greatly affect wetland bird abundance.
","language":"English","publisher":"Estuarine Research Federation","publisherLocation":"Port Republic, MD","doi":"10.1007/s12237-013-9757-2","collaboration":"US Geological Survey; US Fish and Wildlife Service; Gulf Coast Joint Venture; Louisiana State University","usgsCitation":"Pickens, B.A., and King, S.L., 2014, Multiscale habitat selection of wetland birds in the northern Gulf Coast: Estuaries and Coasts, v. 37, no. 5, p. 1301-1311, https://doi.org/10.1007/s12237-013-9757-2.","productDescription":"11 p.","startPage":"1301","endPage":"1311","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050159","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-07","publicationStatus":"PW","scienceBaseUri":"5565994de4b0d9246a9eb633","contributors":{"authors":[{"text":"Pickens, Bradley A.","contributorId":140926,"corporation":false,"usgs":false,"family":"Pickens","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":547607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547535,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70126397,"text":"70126397 - 2014 - Conserving Prairie Pothole Region wetlands and surrounding grasslands: evaluating effects on amphibians","interactions":[],"lastModifiedDate":"2018-01-05T12:34:14","indexId":"70126397","displayToPublicDate":"2014-09-01T12:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Conserving Prairie Pothole Region wetlands and surrounding grasslands: evaluating effects on amphibians","docAbstract":"The maintenance of viable and genetically diverse populations of amphibians in the Prairie Pothole Region of the United States depends on upland as well as wetland over-wintering and landscape level habitat features.
Prairie pothole wetlands provide important amphibian breeding habitat while grasslands surrounding these wetlands provide foraging habitat for adults, overwintering habitat for some species, and important connectivity among breeding wetlands.
Grasslands surrounding wetlands were found to be especially important for wood frogs and northern leopard frogs, while croplands dominated habitat utilized by Great Plains toads and Woodhouse’s toads.
Habitat suitability mapping highlighted (1) the influence of deep-water overwintering wetlands on suitable habitat for four of five anuran species encountered; (2) the lack of overlap between areas of core habitat for both the northern leopard frog and wood frog compared to the core habitat for both toad species; and (3) the importance of conservation programs in providing grassland components of northern leopard frog and wood frog habitat.
Currently, there are approximately 7.2 million acres (2.9 million hectares, ha) of habitat in the PPR identified as suitable for amphibians. WRP and CRP wetland and grassland habitats accounted for approximately 1.9 million acres (0.75 million ha) or 26 percent of this total area.
Continued loss of amphibian habitat resulting from an ongoing trend of returning PPR conservation lands to crop production, will likely have significant negative effects on the region’s ability to maintain amphibian biodiversity. Conversely, increases in conservation wetlands and surrounding grasslands on the PPR landscape have great potential to positively influence the region’s amphibian populations.
","language":"English","publisher":"U.S. Department of Agriculture","publisherLocation":"Washington D.C.","usgsCitation":"Mushet, D.M., and Neau, J.L., 2014, Conserving Prairie Pothole Region wetlands and surrounding grasslands: evaluating effects on amphibians, 8 p.","productDescription":"8 p.","ipdsId":"IP-051058","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":294330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb1ee4b08312ac7cefb7","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":501989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neau, Jordan L. jneau@usgs.gov","contributorId":4737,"corporation":false,"usgs":true,"family":"Neau","given":"Jordan","email":"jneau@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":501990,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70143059,"text":"70143059 - 2014 - Experimental test of theory for the stability of partially saturated vertical cut slopes","interactions":[],"lastModifiedDate":"2015-03-17T10:53:50","indexId":"70143059","displayToPublicDate":"2014-09-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Experimental test of theory for the stability of partially saturated vertical cut slopes","docAbstract":"This paper extends Culmann's vertical-cut analysis to unsaturated soils. To test the extended theory, unsaturated sand was compacted to a uniform porosity and moisture content in a laboratory apparatus. A sliding door that extended the height of the free face of the slope was lowered until the vertical cut failed. Digital images of the slope cross section and upper surface were acquired concurrently. A recently developed particle image velocimetry (PIV) tool was used to quantify soil displacement. The PIV analysis showed strain localization at varying distances from the sliding door prior to failure. The areas of localized strain were coincident with the location of the slope crest after failure. Shear-strength and soil-water-characteristic parameters of the sand were independently tested for use in extended analyses of the vertical-cut stability and of the failure plane angle. Experimental failure heights were within 22.3% of the heights predicted using the extended theory.
","language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"New York, NY","doi":"10.1061/(ASCE)GT.1943-5606.0001119","usgsCitation":"Morse, M., Lu, N., Wayllace, A., Godt, J.W., and Take, W., 2014, Experimental test of theory for the stability of partially saturated vertical cut slopes: Journal of Geotechnical and Geoenvironmental Engineering, v. 140, no. 9, https://doi.org/10.1061/(ASCE)GT.1943-5606.0001119.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055441","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":298615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298592,"type":{"id":15,"text":"Index Page"},"url":"https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29GT.1943-5606.0001119"}],"volume":"140","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5509502ee4b02e76d757e61b","contributors":{"authors":[{"text":"Morse, Michael M.","contributorId":11115,"corporation":false,"usgs":true,"family":"Morse","given":"Michael M.","affiliations":[],"preferred":false,"id":542463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, N.","contributorId":96025,"corporation":false,"usgs":true,"family":"Lu","given":"N.","email":"","affiliations":[],"preferred":false,"id":542487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wayllace, Alexandra","contributorId":23044,"corporation":false,"usgs":true,"family":"Wayllace","given":"Alexandra","affiliations":[],"preferred":false,"id":542465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":542466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Take, W.A.","contributorId":139686,"corporation":false,"usgs":false,"family":"Take","given":"W.A.","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542467,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155272,"text":"70155272 - 2014 - Indo-Pacific sea surface temperature influences on failed consecutive rainy seasons over eastern Africa","interactions":[],"lastModifiedDate":"2017-01-18T11:32:03","indexId":"70155272","displayToPublicDate":"2014-09-01T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1248,"text":"Climate Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Indo-Pacific sea surface temperature influences on failed consecutive rainy seasons over eastern Africa","docAbstract":"Rainfall over eastern Africa (10°S–10°N; 35°E–50°E) is bimodal, with seasonal maxima during the \"long rains\" of March–April–May (MAM) and the \"short rains\" of October–November–December (OND). Below average precipitation during consecutive long and short rains seasons over eastern Africa can have devastating long-term impacts on water availability and agriculture. Here, we examine the forcing of drought during consecutive long and short rains seasons over eastern Africa by Indo-Pacific sea surface temperatures (SSTs). The forcing of eastern Africa precipitation and circulation by SSTs is tested using ten ensemble simulations of a global weather forecast model forced by 1950–2010 observed global SSTs. Since the 1980s, Indo-Pacific SSTs have forced more frequent droughts spanning consecutive long and short rains seasons over eastern Africa. The increased frequency of dry conditions is linked to warming SSTs over the Indo-west Pacific and to a lesser degree to Pacific Decadal Variability. During MAM, long-term warming of tropical west Pacific SSTs from 1950–2010 has forced statistically significant precipitation reductions over eastern Africa. The warming west Pacific SSTs have forced changes in the regional lower tropospheric circulation by weakening the Somali Jet, which has reduced moisture and rainfall over the Horn of Africa. During OND, reductions in precipitation over recent decades are oftentimes overshadowed by strong year-to-year precipitation variability forced by the Indian Ocean Dipole and the El Niño–Southern Oscillation.
","language":"English","publisher":"EBSCO Publishing","publisherLocation":"Heidelberg","doi":"10.1007/s00382-013-1991-6","usgsCitation":"Hoell, A., and Funk, C.C., 2014, Indo-Pacific sea surface temperature influences on failed consecutive rainy seasons over eastern Africa: Climate Dynamics, v. 43, no. 5-6, p. 1645-1660, https://doi.org/10.1007/s00382-013-1991-6.","productDescription":"16 p.","startPage":"1645","endPage":"1660","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048997","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":306485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5-6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-19","publicationStatus":"PW","scienceBaseUri":"57f7f076e4b0bc0bec09f795","contributors":{"authors":[{"text":"Hoell, Andrew","contributorId":145803,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":565445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":565444,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157132,"text":"70157132 - 2014 - Quaternary ostracode and foraminiferal biostratigraphy and paleoceanography in the western Arctic Ocean","interactions":[],"lastModifiedDate":"2015-09-09T10:32:31","indexId":"70157132","displayToPublicDate":"2014-09-01T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary ostracode and foraminiferal biostratigraphy and paleoceanography in the western Arctic Ocean","docAbstract":"The stratigraphic distributions of ostracodes and selected calcareous benthic and planktic foraminiferal species were studied in sediment cores from ~ 700 to 2700 m water depth on the Northwind, Mendeleev, and Lomonosov Ridges in the western Arctic Ocean. Microfaunal records in most cores cover mid- to late Quaternary sediments deposited in the last ~ 600 ka, with one record covering the last ~ 1.5 Ma. Results show a progressive faunal turnover during the mid-Pleistocene transition (MPT, ~ 1.2 to 0.7 Ma) and around the mid-Brunhes event (MBE, ~ 0.4 Ma) reflecting major changes in Arctic Ocean temperature, circulation and sea-ice cover. The observed MPT shift is characterized by the extinction of species that today inhabit the sea-ice free subpolar North Atlantic and/or seasonally sea-ice free Nordic Seas (Echinocythereis sp., Rockalliacf. enigmatica, Krithe cf. aquilonia, Pterygocythereis vannieuwenhuisei). After a very warm interglacial during marine isotope stage (MIS) 11 dominated by the temperate planktic foraminifer Turborotalita egelida, the MBE experienced a shift to polar assemblages characteristic of predominantly perennial Arctic sea-ice cover during the interglacial and interstadial periods of the last 300 ka. These include the planktic foraminifera Neogloboquadrina pachyderma, the sea-ice dwelling ostracodeAcetabulastoma arcticum and associated benthic taxa Pseudocythere caudata,Pedicythere neofluitans, and Polycope spp. Several species can be used as biostratigraphic markers of specific intervals such as ostracodes Rabilimis mirabilis — MIS 5 and P. vannieuwenhuisei extinction after MIS 11, and foraminiferal abundance zones Bulimina aculeata — late MIS 5 and Bolivina arctica — MIS 5-11.
","language":"English","publisher":"Elsevier Scientific Pub. Co.","publisherLocation":"Amsterdam","doi":"10.1016/j.marmicro.2014.05.001","usgsCitation":"Cronin, T.M., DeNinno, L.H., Polyak, L., Caverly, E.K., Poore, R.Z., Brenner, A.R., Rodriguez-Lazaro, J., and Marzen, R., 2014, Quaternary ostracode and foraminiferal biostratigraphy and paleoceanography in the western Arctic Ocean: Marine Micropaleontology, v. 111, p. 118-133, https://doi.org/10.1016/j.marmicro.2014.05.001.","productDescription":"16 p.","startPage":"118","endPage":"133","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054506","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":307991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f15831e4b0dacf699eb972","contributors":{"authors":[{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":571765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeNinno, Lauren H. ldeninno@usgs.gov","contributorId":5312,"corporation":false,"usgs":true,"family":"DeNinno","given":"Lauren","email":"ldeninno@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":571766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polyak, L.V.","contributorId":64819,"corporation":false,"usgs":true,"family":"Polyak","given":"L.V.","email":"","affiliations":[],"preferred":false,"id":571767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caverly, Emma K. ecaverly@usgs.gov","contributorId":5314,"corporation":false,"usgs":true,"family":"Caverly","given":"Emma","email":"ecaverly@usgs.gov","middleInitial":"K.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":571768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":147454,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":571769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brenner, Alec R. abrenner@usgs.gov","contributorId":5315,"corporation":false,"usgs":true,"family":"Brenner","given":"Alec","email":"abrenner@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":571770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rodriguez-Lazaro, J.","contributorId":92002,"corporation":false,"usgs":true,"family":"Rodriguez-Lazaro","given":"J.","affiliations":[],"preferred":false,"id":571771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marzen, R.E.","contributorId":147455,"corporation":false,"usgs":false,"family":"Marzen","given":"R.E.","email":"","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":571772,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70132321,"text":"70132321 - 2014 - Combining demographic and genetic factors to assess population vulnerability in stream species","interactions":[],"lastModifiedDate":"2020-12-28T12:29:46.865868","indexId":"70132321","displayToPublicDate":"2014-09-01T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Combining demographic and genetic factors to assess population vulnerability in stream species","docAbstract":"Accelerating climate change and other cumulative stressors create an urgent need to understand the influence of environmental variation and landscape features on the connectivity and vulnerability of freshwater species. Here, we introduce a novel modeling framework for aquatic systems that integrates spatially explicit, individual‐based, demographic and genetic (demogenetic) assessments with environmental variables. To show its potential utility, we simulated a hypothetical network of 19 migratory riverine populations (e.g., salmonids) using a riverscape connectivity and demogenetic model (CDFISH). We assessed how stream resistance to movement (a function of water temperature, fluvial distance, and physical barriers) might influence demogenetic connectivity, and hence, population vulnerability. We present demographic metrics (abundance, immigration, and change in abundance) and genetic metrics (diversity, differentiation, and change in differentiation), and combine them into a single vulnerability index for identifying populations at risk of extirpation. We considered four realistic scenarios that illustrate the relative sensitivity of these metrics for early detection of reduced connectivity: (1) maximum resistance due to high water temperatures throughout the network, (2) minimum resistance due to low water temperatures throughout the network, (3) increased resistance at a tributary junction caused by a partial barrier, and (4) complete isolation of a tributary, leaving resident individuals only. We then applied this demogenetic framework using empirical data for a bull trout (Salvelinus confluentus) metapopulation in the upper Flathead River system, Canada and USA, to assess how current and predicted future stream warming may influence population vulnerability. Results suggest that warmer water temperatures and associated barriers to movement (e.g., low flows, dewatering) are predicted to fragment suitable habitat for migratory salmonids, resulting in the loss of genetic diversity and reduced numbers in certain vulnerable populations. This demogenetic simulation framework, which is illustrated in a web‐based interactive mapping prototype, should be useful for evaluating population vulnerability in a wide variety of dendritic and fragmented riverscapes, helping to guide conservation and management efforts for freshwater species.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0499.1","usgsCitation":"Landguth, E., Muhlfeld, C.C., Jones, L.W., Waples, R.S., Whited, D., Lowe, W.H., Lucotch, J., Neville, H., and Luikart, G., 2014, Combining demographic and genetic factors to assess population vulnerability in stream species: Ecological Applications, v. 24, no. 6, p. 1505-1524, https://doi.org/10.1890/13-0499.1.","productDescription":"20 p.","startPage":"1505","endPage":"1524","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044696","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":296045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Flathead River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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