This report details modeling to: 1) codify flow-ecology relationships for riparian species of the Bill Williams River as operational guidance for water managers, 2) test the guidance under different climate scenarios, and 3) revise the operational guidance as needed to address the effects of climate change. Model applications detailed herein include the River Analysis System (HEC-RAS) and the Ecosystem Functions Model (HEC-EFM), which was used to generate more than three million estimates of local seedling recruitment areas. Areas were aggregated and compared to determine which scenarios generated the most seedling area per unit volume of water. Scenarios that maximized seedling area were grouped into a family of curves that serve as guidance for water managers. This work has direct connections to water management decision-making and builds upon and adds to the rich history of science-based management for the Bill Williams River, Arizona, USA.
","language":"English","publisher":"U.S. Army Corps of Engineers","usgsCitation":"Hickey, J., Fields, W., Andrew Hautzinger, Sesnie, S., Shafroth, P.B., and Gilbert, D., 2016, Managing water and riparian habitats on the Bill Williams River with scientific benefit for other desert river systems, Report: xii, 90 p. .","productDescription":"Report: xii, 90 p. ","startPage":"1","endPage":"90","numberOfPages":"106","ipdsId":"IP-073662","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":343714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343706,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.hec.usace.army.mil/publications/"}],"country":"United States","state":"Arizona ","otherGeospatial":"Bill Williams River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.15206909179688,\n 34.178861487501464\n ],\n [\n -113.499755859375,\n 34.178861487501464\n ],\n [\n -113.499755859375,\n 34.34570381052938\n ],\n [\n -114.15206909179688,\n 34.34570381052938\n ],\n [\n -114.15206909179688,\n 34.178861487501464\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59673543e4b0d1f9f05dd7db","contributors":{"authors":[{"text":"Hickey, John","contributorId":194519,"corporation":false,"usgs":false,"family":"Hickey","given":"John","email":"","affiliations":[],"preferred":false,"id":704431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fields, Woodrow","contributorId":194518,"corporation":false,"usgs":false,"family":"Fields","given":"Woodrow","email":"","affiliations":[],"preferred":false,"id":704430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrew Hautzinger","contributorId":194520,"corporation":false,"usgs":false,"family":"Andrew Hautzinger","affiliations":[],"preferred":false,"id":704432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sesnie, Steven","contributorId":194521,"corporation":false,"usgs":false,"family":"Sesnie","given":"Steven","email":"","affiliations":[],"preferred":false,"id":704433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":704429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gilbert, Dick","contributorId":194522,"corporation":false,"usgs":false,"family":"Gilbert","given":"Dick","email":"","affiliations":[],"preferred":false,"id":704434,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70170574,"text":"sir20165055 - 2016 - Budgets and chemical characterization of groundwater for the Diamond Valley flow system, central Nevada, 2011–12","interactions":[],"lastModifiedDate":"2019-08-16T08:36:22","indexId":"sir20165055","displayToPublicDate":"2016-07-29T15:00:00","publicationYear":"2016","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":"2016-5055","title":"Budgets and chemical characterization of groundwater for the Diamond Valley flow system, central Nevada, 2011–12","docAbstract":"The Diamond Valley flow system consists of six hydraulically connected hydrographic areas in central Nevada. The general down-gradient order of the areas are southern and northern Monitor Valleys, Antelope Valley, Kobeh Valley, Stevens Basin, and Diamond Valley. Groundwater flow in the Diamond Valley flow system terminates at a large playa in the northern part of Diamond Valley. Concerns relating to continued water-resources development of the flow system resulted in a phased hydrologic investigation that began in 2005 by the U.S. Geological Survey in cooperation with Eureka County. This report presents the culmination of the phased investigation to increase understanding of the groundwater resources of the basin-fill aquifers in the Diamond Valley flow system through evaluations of groundwater chemistry and budgets. Groundwater chemistry was characterized using major ions and stable isotopes from groundwater and precipitation samples. Groundwater budgets accounted for all inflows, outflows, and changes in storage, and were developed for pre-development (pre-1950) and recent (average annual 2011–12) conditions. Major budget components include groundwater discharge by evapotranspiration and groundwater withdrawals; groundwater recharge by precipitation, and interbasin flow; and storage change.
\nGroundwater in the basin-fill aquifer of the Diamond Valley flow system was mostly a calcium or sodium bicarbonate water type and generally within acceptable drinking-water standards. The general water type was similar among the individual hydrographic areas. Stable isotopes of oxygen-18 and deuterium from precipitation varied seasonally, such that enrichment from evaporation was greater during warmer months than cooler months. The isotopic signature of shallow groundwater was similar to cool season precipitation, indicating recharge was relatively recent (similar to recent climatic conditions) and was derived from cool season precipitation.
\nSite-scale groundwater evapotranspiration was estimated from eddy-covariance and micrometeorological measurements collected at four sites and ranged from 0.15 feet per year in sparse, undisturbed shrubland to 1.13 feet per year in a grassland meadow. Vegetation indices calculated from satellite imagery and field mapping were used to define three evapotranspiration units (shrubland, grassland, and playa) and to extrapolate site-scale groundwater evapotranspiration rates to basin-scale estimates. Annual pre-development groundwater evapotranspiration for individual hydrographic areas ranged from 2,900 acre-feet per year (acre-ft/yr) in northern Monitor Valley to 35,000 acre-ft/yr in Diamond Valley. Total groundwater evapotranspiration from the Diamond Valley flow system under pre-development conditions was about 70,000 acre-ft/yr.
\nAreas of irrigated land in the Diamond Valley flow system increased from less than 5,000 acres in the early 1960s to more than 25,000 acres in 2012 and are mostly for growing alfalfa in southern Diamond Valley. Annual (2011–12) net groundwater withdrawals for irrigation, assumed to be the volume of groundwater consumed by crops and pastureland, ranged from about 420 acre-ft/yr in Antelope Valley to 67,000 acre-ft/yr in Diamond Valley. Total net groundwater withdrawals for irrigation in the Diamond Valley flow system were about 69,000 acre-ft/yr (2011–12).
\nGroundwater recharge, the largest inflow component to the Diamond Valley flow system, was determined as the sum of groundwater evapotranspiration and net subsurface outflow (subsurface outflow minus subsurface inflow). Annual groundwater recharge estimates ranged from 200 acre-ft/yr in Stevens Basin to 35,000 acre-ft/yr in Diamond Valley.
\nSubsurface flow between hydrographic basins was evaluated using estimated transmissivity, groundwater-flow sections derived from remotely sensed imagery, and hydraulic gradients determined from 2012 water-level data. Subsurface outflow ranged from 0 acre-ft/yr for Diamond Valley to 3,400 acre-ft/yr for northern Monitor Valley into western Kobeh Valley. Subsurface inflow ranged from 0 acre-ft/yr for southern Monitor Valley to 4,200 acre-ft/yr for Kobeh Valley from northern Monitor and Antelope Valleys.
\nThe pre-development, steady state, groundwater budget for the Diamond Valley flow system was estimated at about 70,000 acre-ft/yr of inflow and outflow. During years 2011–12, inflow components of groundwater recharge from precipitation and subsurface inflow from adjacent basins totaled 70,000 acre-ft/yr for the DVFS, whereas outflow components included 64,000 acre-ft/yr of groundwater evapotranspiration and 69,000 acre-ft/yr of net groundwater withdrawals, or net pumpage. Spring discharge in northern Diamond Valley declined about 6,000 acre-ft/yr between pre-development time and years 2011–12. Assuming net groundwater withdrawals minus spring flow decline is equivalent to the storage change, the 2011–12 summation of inflow and storage change was balanced with outflow at about 133,000 acre-ft/yr.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165055","collaboration":"Prepared in cooperation with Eureka County, Nevada","usgsCitation":"Berger, D.L., Mayers, C.J., Garcia, C.A., Buto, S.G., and Huntington, J.M., 2016, Budgets and chemical characterization of groundwater for the Diamond Valley flow system, central Nevada, 2011–12: U.S. Geological Survey Scientific Investigations Report 2016–5055, 83 p., https://dx.doi.org/10.3133/sir20165055.","productDescription":"Report: x, 84 p.; Plate: 22 x 33 inches; 5 Datasets","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042275","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":325830,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7JM27QV","text":"Irrigated Agricultural Lands and Associated Land Disturbance in the Diamond Valley Flow System, Central Nevada, 2011"},{"id":325831,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F75B00K7","text":"Groundwater Discharge Area for the Diamond Valley Flow System, Central Nevada"},{"id":325832,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7930R9K","text":"Summer Mean Enhanced Vegetation Index for the Diamond Valley Flow System Groundwater Discharge Area, 2010"},{"id":325833,"rank":9,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7DV1H0J","text":"Evapotranspiration Units for the Diamond Valley Flow System, Central Nevada, 2010"},{"id":325829,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F71J97VZ","text":"Water-Level Altitude Contours for the Diamond Valley Flow System, Central Nevada, 2012"},{"id":325825,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5055/coverthb.jpg"},{"id":325826,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5055/sir20165055.pdf","text":"Report","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5055 Report PDF"},{"id":325827,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5055/sir20165055_high-res.pdf","text":"Report - Print Resolution","size":"47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5055 Report Print PDF"},{"id":325828,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5055/sir20165055_plate.pdf","text":"Plate 1","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5055 Plate 1","linkHelpText":"Groundwater Levels in Basin-Fill Deposits, Groundwater-Discharge Areas, and Agricultural Areas of the Diamond Valley Flow System, Central Nevada"},{"id":366584,"rank":10,"type":{"id":28,"text":"Dataset"},"url":" https://doi.org/10.5066/P9NZ9XSP","text":"Evapotranspiration data, Kobeh Valley, Nevada, 2010–12"}],"country":"United States","state":"Nevada","county":"Elko County, Eureka County, Lander County, Nye County","otherGeospatial":"Diamond Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.33333,\n 38.33333\n ],\n [\n -117.33333,\n 40.33333\n ],\n [\n -115.33333,\n 40.33333\n ],\n [\n -115.33333,\n 38.33333\n ],\n [\n -117.33333,\n 38.33333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, NV 89701
http://nevada.usgs.gov/water/
","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-07-29","noUsgsAuthors":false,"publicationDate":"2016-07-29","publicationStatus":"PW","scienceBaseUri":"579c7020e4b0589fa1c98a08","contributors":{"authors":[{"text":"Berger, David L. dlberger@usgs.gov","contributorId":1861,"corporation":false,"usgs":true,"family":"Berger","given":"David","email":"dlberger@usgs.gov","middleInitial":"L.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":627724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayers, C. Justin cjmayers@usgs.gov","contributorId":2306,"corporation":false,"usgs":true,"family":"Mayers","given":"C. Justin","email":"cjmayers@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":627725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":627726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buto, Susan G. 0000-0002-1107-9549 sbuto@usgs.gov","orcid":"https://orcid.org/0000-0002-1107-9549","contributorId":1057,"corporation":false,"usgs":true,"family":"Buto","given":"Susan","email":"sbuto@usgs.gov","middleInitial":"G.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":627727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huntington, Jena M. 0000-0002-9291-1404 jmhunt@usgs.gov","orcid":"https://orcid.org/0000-0002-9291-1404","contributorId":2294,"corporation":false,"usgs":true,"family":"Huntington","given":"Jena","email":"jmhunt@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":627728,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175081,"text":"70175081 - 2016 - Osmoregulatory physiology and rapid evolution of salinity tolerance in threespine stickleback recently introduced to fresh water","interactions":[],"lastModifiedDate":"2016-07-28T13:47:47","indexId":"70175081","displayToPublicDate":"2016-07-28T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1604,"text":"Evolutionary Ecology Research","active":true,"publicationSubtype":{"id":10}},"title":"Osmoregulatory physiology and rapid evolution of salinity tolerance in threespine stickleback recently introduced to fresh water","docAbstract":"
Background: Post-Pleistocene diversification of threespine stickleback in fresh water offers a valuable opportunity to study how changes in environmental salinity shape physiological evolution in fish. In Alaska, the presence of both ancestral oceanic populations and derived landlocked populations, including recent lake introductions, allows us to examine rates and direction of evolution of osmoregulation following halohabitat transition.
\nHypotheses: Strong selection for enhanced freshwater tolerance will improve survival of recently lake-introduced stickleback in ion-poor conditions compared with their oceanic ancestors. Trade-offs between osmoregulation in fresh water and seawater will allow members of the ancestral population to survive better in response to seawater challenge, as mediated by upregulating salt-secreting transporters in the gill. Poorer hypo-osmoregulatory performance of derived fish will be marked by higher levels of taurine and other organic osmolytes.
\nMethods: We reared clutches at a common salinity from an anadromous and a descendant population, Scout Lake, which has been landlocked for only two generations. We challenged 6-week-old juveniles with extreme low and high salinity treatments and sampled fish over 10 days to investigate putative molecular mechanisms underlying differences in halotolerance. We measured whole-body organic osmolyte content as well as gill Na+/K+-ATPase (NKA) activity and Na+/K+/2Cl− cotransporter (NKCC) protein abundance. Other juveniles from these populations and also from Cheney Lake, a fourth-generation landlocked descendant, were gradually salt-acclimated to determine maximum halotolerance limits.
\nResults: Scout Lake stickleback exhibited 67% higher survival in fresh water than the ancestral anadromous population, but individuals from both groups exhibited similar seawater tolerance. Likewise, the gradual salinity threshold for each population was equivalent (71 ppt). Gill NKA activity and NKCC abundance were both higher in seawater-challenged fish, but did not differ between populations. Sticklebacks from both populations responded to acute salinity stress by transiently increasing osmolyte levels in seawater and decreasing them in fresh water.
\nConclusion: Enhanced freshwater tolerance has evolved rapidly in recently landlocked stickleback compared with their anadromous ancestors (0.569 haldanes), but the former have retained ancestral seawater-osmoregulatory function.
","language":"English","publisher":"Evolution and Ecology Research","usgsCitation":"Divino, J.N., Monette, M.Y., McCormick, S.D., Yancey, P.H., Flannery, K.G., Bell, M.A., Rollins, J.L., von Hippel, F., and Schultz, E., 2016, Osmoregulatory physiology and rapid evolution of salinity tolerance in threespine stickleback recently introduced to fresh water: Evolutionary Ecology Research, v. 17, p. 179-201.","productDescription":"23 p.","startPage":"179","endPage":"201","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070426","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":325786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325785,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://evolutionary-ecology.com/abstracts/v17/2982.html"}],"volume":"17","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579b1e9fe4b0589fa1c951cf","contributors":{"authors":[{"text":"Divino, Jeffrey N","contributorId":173236,"corporation":false,"usgs":false,"family":"Divino","given":"Jeffrey","email":"","middleInitial":"N","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":643844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monette, Michelle Y.","contributorId":95769,"corporation":false,"usgs":true,"family":"Monette","given":"Michelle","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":643850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":643843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yancey, Paul H.","contributorId":173237,"corporation":false,"usgs":false,"family":"Yancey","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":643851,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flannery, Kyle G.","contributorId":173238,"corporation":false,"usgs":false,"family":"Flannery","given":"Kyle","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":643852,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bell, Michael A.","contributorId":173239,"corporation":false,"usgs":false,"family":"Bell","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":643853,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rollins, Jennifer L.","contributorId":173240,"corporation":false,"usgs":false,"family":"Rollins","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":643854,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"von Hippel, Frank A.","contributorId":96599,"corporation":false,"usgs":true,"family":"von Hippel","given":"Frank A.","affiliations":[],"preferred":false,"id":643855,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schultz, Eric T.","contributorId":77071,"corporation":false,"usgs":true,"family":"Schultz","given":"Eric T.","affiliations":[],"preferred":false,"id":643845,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70174819,"text":"ofr20161111 - 2016 - Agricultural irrigated land-use inventory for the counties in the Suwannee River Water Management District in Florida, 2015","interactions":[],"lastModifiedDate":"2016-08-16T16:39:28","indexId":"ofr20161111","displayToPublicDate":"2016-07-28T11:00:00","publicationYear":"2016","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":"2016-1111","title":"Agricultural irrigated land-use inventory for the counties in the Suwannee River Water Management District in Florida, 2015","docAbstract":"A detailed inventory of irrigated crop acreage is not available at the level of resolution needed to accurately estimate agricultural water use or to project future water demands in many Florida counties. A detailed digital map and summary of irrigated acreage during the 2015 growing season was developed for 13 of the 15 counties that compose the Suwannee River Water Management District. The irrigated areas were delineated using land-use data, orthoimagery, and information obtained from the water management district consumptive water-use permits that were then field verified between May and November of 2015. Selected attribute data were collected for the irrigated areas, including crop type, primary water source, and type of irrigation system. Results indicate that an estimated 113,134 acres were either irrigated or had potential for irrigation in all or part of the 13 counties within the Suwannee River Water Management District during 2015. This estimate includes 108,870 acres of field-verified, irrigated crops and 4,264 acres of irrigated land observed as (1) idle (with an irrigation system visible but no crop present at the time of the field-verification visit), (2) acres that could not be verified during field visits, or (3) acres that were located on publicly owned research lands.
\nOf the total field-verified crops, 83,721 acres were field crops; 20,962 acres were vegetable crops (sometimes referred to as row crops); 3,089 acres were in tree nurseries, ornamentals, and sod production; and 1,098 acres were fruit crops. Specific irrigated crops included 32,468 acres of corn (primarily for silage); 28,170 acres of peanuts; and 10,331 acres of hay. About 40 percent of the vegetable acreage (8,340 acres) was double cropped (planted with both a spring and a fall crop on the same field). Beans, carrots, and watermelons were the most commonly grown vegetable crops in these 13 counties in 2015.
\nSprinkler irrigation systems including center pivots, portable or traveling guns, and permanent or solid overhead fixtures accounted for nearly 91 percent (102,874 acres) of the total irrigated acreage in the Suwannee River Water Management District, whereas microirrigation systems including drip irrigation accounted for 9 percent (10,260 acres) of the irrigated acreage. A total of 1,466 center pivots were observed during field verification in 2015 and accounted for 93,093 irrigated acres (which represents 82 percent of the total irrigated acreage). Most center pivots were in use at the time of the field verification, although about 3 percent appeared idle. No flood irrigation systems were observed during field verification in 2015. Overall, groundwater was used to irrigate nearly all of the field-verified acreage (99.8 percent). Dairy wastewater effluent was used on many fields during 2015; however, a quantitative estimate of acreage using effluent could not be determined.
\nIrrigated cropland totaled 26,927 acres in Suwannee County; 16,511 acres in Madison County; 14,862 acres in Hamilton County; and 14,155 acres in Gilchrist County; these four counties accounted for nearly two-thirds (64 percent) of the acres irrigated within the Suwannee River Water Management District during 2015. Corn (primarily for silage) and peanuts were the primary irrigated crops, accounting for 48, 70, and 71 percent, respectively, of the total irrigated acreage in Suwannee, Madison, and Gilchrist Counties; vegetables accounted for 52 percent of the total irrigated acres in Hamilton County. Other counties with substantial irrigated acreage included Levy (10,122 acres), Alachua (9,547 acres), and Lafayette (8,110 acres); these three counties, combined with Suwannee, Madison, Hamilton, and Gilchrist Counties, accounted for 88 percent of the irrigated acreage in the Suwannee River Water Management District.
\nThe irrigated acreage that was field verified in 2015 for the 13 counties in the Suwannee River Water Management District (113,134 acres) is about 6 percent higher than the estimated acreage published by the U.S. Department of Agriculture (107,217 acres) for 2012; however, this 2012 value represents acreage for the entire portion of all 13 counties, not just the Suwannee River Water Management District portion. Differences between the 2015 field-verified acreage totals and those published by the U.S. Department of Agriculture for 2012 may occur because (1) irrigated acreage for some specific crops increased or decreased substantially during the 3-year interval due to commodity prices or economic changes, (2) calculated field-verified irrigated acreage may be an overestimate because irrigation was assumed if an irrigation system was present and therefore the acreage was counted as irrigated, when in fact that may not have been the case as some farmers may not have used their irrigation systems during this growing period even if they had a crop in the field, or (3) the amount of irrigated acreages published by the U.S. Department of Agriculture for selected crops may be underestimated in some cases.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161111","collaboration":"Prepared in cooperation with the Florida Department of Agriculture and Consumer Services and the Suwannee River Water Management District","usgsCitation":"Marella, R.L., Dixon, J.F., and Berry, D.R., 2016, Agricultural irrigated land-use inventory for the counties in the Suwannee River Water Management District in Florida, 2015: U.S. Geological Survey Open-File Report 2016–1111, 18 p., https://dx.doi.org/10.3133/ofr20161111.","productDescription":"Report: 18 p.; Appendixes: 1-2; Data Release","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-071711","costCenters":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"links":[{"id":438580,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NK3C4V","text":"USGS data release","linkHelpText":"Map, Data, and GIS Files Pertaining to the Agricultural Irrigated Land-use Inventory for the Counties in the Suwannee River Water Management District, 2015"},{"id":325761,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1111/ofr20161111_appendix1.pdf","text":"Appendix 1","size":"9.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1111 Appendix 1"},{"id":325760,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1111/ofr20161111.pdf","text":"Report","size":"1.13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1111"},{"id":325762,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1111/ofr20161111_appendix2.xlsx","text":"Appendix 2","size":"216 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016–1111 Appendix 2"},{"id":325763,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7NK3C4V","text":"USGS data release - GIS Data and Tables Pertaining to the Agricultural Irrigated Land-use Inventory for the Counties in the Suwannee River Water Management District, 2015","description":"USGS data release"},{"id":325759,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1111/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Suwannee River Water Management District","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.0673828125,\n 30.680439786468128\n ],\n [\n -82.3974609375,\n 30.58117925738696\n ],\n [\n -82.3974609375,\n 30.164126343161097\n ],\n [\n -82.0513916015625,\n 30.149877316442065\n ],\n [\n -82.034912109375,\n 29.3965337391284\n ],\n [\n -82.7435302734375,\n 28.96489485992114\n ],\n [\n -83.0621337890625,\n 29.14736383122664\n ],\n [\n -83.408203125,\n 29.53522956294847\n ],\n [\n -83.583984375,\n 29.783449456820605\n ],\n [\n -84.0838623046875,\n 30.102365696412445\n ],\n [\n -84.0673828125,\n 30.680439786468128\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
12703 Research Parkway
Orlando, FL 32826
Efficient and responsible management of water resources relies on accurate streamflow records. However, many watersheds are ungaged, limiting the ability to assess and understand local hydrology. Several tools have been developed to alleviate this data scarcity, but few provide continuous daily streamflow records at individual streamgages within an entire region. Building on the history of hydrologic mapping, ordinary kriging was extended to predict daily streamflow time series on a regional basis. Pooling parameters to estimate a single, time-invariant characterization of spatial semivariance structure is shown to produce accurate reproduction of streamflow. This approach is contrasted with a time-varying series of variograms, representing the temporal evolution and behavior of the spatial semivariance structure. Furthermore, the ordinary kriging approach is shown to produce more accurate time series than more common, single-index hydrologic transfers. A comparison between topological kriging and ordinary kriging is less definitive, showing the ordinary kriging approach to be significantly inferior in terms of Nash–Sutcliffe model efficiencies while maintaining significantly superior performance measured by root mean squared errors. Given the similarity of performance and the computational efficiency of ordinary kriging, it is concluded that ordinary kriging is useful for first-order approximation of daily streamflow time series in ungaged watersheds.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-20-2721-2016","usgsCitation":"Farmer, W.H., 2016, Ordinary kriging as a tool to estimate historical daily streamflow records: Hydrology and Earth System Sciences, v. 20, no. 7, p. 2721-2735, https://doi.org/10.5194/hess-20-2721-2016.","productDescription":"15 p.","startPage":"2721","endPage":"2735","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070177","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-20-2721-2016","text":"Publisher Index Page"},{"id":325769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-12","publicationStatus":"PW","scienceBaseUri":"579b1e9fe4b0589fa1c951cc","contributors":{"authors":[{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":643738,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70175058,"text":"70175058 - 2016 - Evaluation of leaf removal as a means to reduce nutrient concentrations and loads in urban stormwater","interactions":[],"lastModifiedDate":"2016-07-28T09:50:40","indexId":"70175058","displayToPublicDate":"2016-07-28T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of leaf removal as a means to reduce nutrient concentrations and loads in urban stormwater","docAbstract":"While the sources of nutrients to urban stormwater are many, the primary contributor is often organic detritus, especially in areas with dense overhead tree canopy. One way to remove organic detritus before it becomes entrained in runoff is to implement a city-wide leaf collection and street cleaning program. Improving our knowledge of the potential reduction of nutrients to stormwater through removal of leaves and other organic detritus on streets could help tailor more targeted municipal leaf collection programs. This study characterized an upper ideal limit in reductions of total and dissolved forms of phosphorus and nitrogen in stormwater through implementation of a municipal leaf collection and street cleaning program in Madison, WI, USA. Additional measures were taken to remove leaf litter from street surfaces prior to precipitation events.
\nLoads of total and dissolved phosphorus were reduced by 84 and 83% (p < 0.05), and total and dissolved nitrogen by 74 and 71% (p < 0.05) with an active leaf removal program. Without leaf removal, 56% of the annual total phosphorus yield (winter excluded) was due to leaf litter in the fall compared to 16% with leaf removal. Despite significant reductions in load, total nitrogen showed only minor changes in fall yields without and with leaf removal at 19 and 16%, respectively. The majority of nutrient concentrations were in the dissolved fraction making source control through leaf removal one of the few treatment options available to environmental managers when reducing the amount of dissolved nutrients in stormwater runoff. Subsequently, the efficiency, frequency, and timing of leaf removal and street cleaning are the primary factors to consider when developing a leaf management program.
\n\n
A period-of-record flow duration curve (FDC) represents the relationship between the magnitude and frequency of daily streamflows. Prediction of FDCs is of great importance for locations characterized by sparse or missing streamflow observations. We present a detailed comparison of two methods which are capable of predicting an FDC at ungauged basins: (1) an adaptation of the geostatistical method, Top-kriging, employing a linear weighted average of dimensionless empirical FDCs, standardised with a reference streamflow value; and (2) regional multiple linear regression of streamflow quantiles, perhaps the most common method for the prediction of FDCs at ungauged sites. In particular, Top-kriging relies on a metric for expressing the similarity between catchments computed as the negative deviation of the FDC from a reference streamflow value, which we termed total negative deviation (TND). Comparisons of these two methods are made in 182 largely unregulated river catchments in the southeastern U.S. using a three-fold cross-validation algorithm. Our results reveal that the two methods perform similarly throughout flow-regimes, with average Nash-Sutcliffe Efficiencies 0.566 and 0.662, (0.883 and 0.829 on log-transformed quantiles) for the geostatistical and the linear regression models, respectively. The differences between the reproduction of FDC's occurred mostly for low flows with exceedance probability (i.e. duration) above 0.98.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2016.06.008","usgsCitation":"Pugliese, A., Farmer, W.H., Castellarin, A., Archfield, S.A., and Vogel, R.M., 2016, Regional flow duration curves: Geostatistical techniques versus multivariate regression: Advances in Water Resources, v. 96, p. 11-22, https://doi.org/10.1016/j.advwatres.2016.06.008.","productDescription":"12 p.","startPage":"11","endPage":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070176","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":325767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579b1e9fe4b0589fa1c951d6","contributors":{"authors":[{"text":"Pugliese, Alessio","contributorId":138746,"corporation":false,"usgs":false,"family":"Pugliese","given":"Alessio","email":"","affiliations":[{"id":12516,"text":"Dept. DICAM, Sch of CE, U of Bol, Italy","active":true,"usgs":false}],"preferred":false,"id":643734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":643733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castellarin, Attilio","contributorId":138747,"corporation":false,"usgs":false,"family":"Castellarin","given":"Attilio","email":"","affiliations":[{"id":12516,"text":"Dept. DICAM, Sch of CE, U of Bol, Italy","active":true,"usgs":false}],"preferred":false,"id":643735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":643736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643737,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70168414,"text":"sir20155179 - 2016 - Quantifying the eroded volume of mercury-contaminated sediment using terrestrial laser scanning at Stocking Flat, Deer Creek, Nevada County, California, 2010–13","interactions":[],"lastModifiedDate":"2016-07-28T11:38:03","indexId":"sir20155179","displayToPublicDate":"2016-07-28T10:15:00","publicationYear":"2016","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":"2015-5179","title":"Quantifying the eroded volume of mercury-contaminated sediment using terrestrial laser scanning at Stocking Flat, Deer Creek, Nevada County, California, 2010–13","docAbstract":"High-resolution ground-based light detection and ranging (lidar), also known as terrestrial laser scanning, was used to quantify the volume of mercury-contaminated sediment eroded from a stream cutbank at Stocking Flat along Deer Creek in the Sierra Nevada foothills, about 3 kilometers west of Nevada City, California. Terrestrial laser scanning was used to collect sub-centimeter, three-dimensional images of the complex cutbank surface, which could not be mapped non-destructively or in sufficient detail with traditional surveying techniques.
The stream cutbank, which is approximately 50 meters long and 8 meters high, was surveyed on four occasions: December 1, 2010; January 20, 2011; May 12, 2011; and February 4, 2013. Volumetric changes were determined between the sequential, three-dimensional lidar surveys. Volume was calculated by two methods, and the average value is reported. Between the first and second surveys (December 1, 2010, to January 20, 2011), a volume of 143 plus or minus 15 cubic meters of sediment was eroded from the cutbank and mobilized by Deer Creek. Between the second and third surveys (January 20, 2011, to May 12, 2011), a volume of 207 plus or minus 24 cubic meters of sediment was eroded from the cutbank and mobilized by the stream. Total volumetric change during the winter and spring of 2010–11 was 350 plus or minus 28 cubic meters. Between the third and fourth surveys (May 12, 2011, to February 4, 2013), the differencing of the three-dimensional lidar data indicated that a volume of 18 plus or minus 10 cubic meters of sediment was eroded from the cutbank. The total volume of sediment eroded from the cutbank between the first and fourth surveys was 368 plus or minus 30 cubic meters.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155179","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Howle, J.F., Alpers, C.N., Bawden, G.W., and Bond, Sandra, 2016, Quantifying the eroded volume of mercury-contaminated sediment using terrestrial laser scanning at Stocking Flat, Deer Creek, Nevada County, California, 2010–13: U.S. Geological Survey Scientific Investigations Report 2015–5179, 23 p., https://dx.doi.org/10.3133/sir20155179.","productDescription":"vi, 23 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-043568","costCenters":[{"id":154,"text":"California Water Science 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California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
http://ca.water.usgs.gov
Rock outcrop ecosystems, such as limestone cedar glades (LCGs), are known for their rare and endemic plant species adapted to high levels of abiotic stress. Soils in LCGs are thin (< 25 cm), soil-moisture conditions fluctuate seasonally between xeric and saturated, and summer soil temperatures commonly exceed 48 °C. The effects of these stressors on soil microbial communities (SMC) remain largely unstudied, despite the importance of SMC-plant interactions in regulating the structure and function of terrestrial ecosystems. SMC profiles and functional diversity were characterized in LCGs using community level physiological profiling (CLPP) and plate-dilution frequency assays (PDFA). Most-probable number (MPN) estimates and microbial substrate-utilization diversity (H) were positively related to soil thickness, soil organic matter (OM), soil water content, and vegetation density, and were diminished in alkaline soil relative to circumneutral soil. Soil nitrate showed no relationship to SMCs, suggesting lack of N-limitation. Canonical correlation analysis indicated strong correlations between microbial CLPP patterns and several physical and chemical properties of soil, primarily temperature at the ground surface and at 4-cm depth, and secondarily soil-water content, enabling differentiation by season. Thus, it was demonstrated that several well-described abiotic determinants of plant community structure in this ecosystem are also reflected in SMC profiles.
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","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163048","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L.B., 2016, Water resources of Livingston Parish, Louisiana: U.S. Geological Survey Fact Sheet 2016–3048, 6 p., https://dx.doi.org/10.3133/fs20163048. 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Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
Information concerning the availability, use, and quality of water in St. Helena Parish, Louisiana, is critical for proper water-resource management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163047","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L.B., 2016, Water resources of St. Helena Parish, Louisiana: U.S. Geological Survey Fact Sheet 2016–3047, 6 p., https://dx.doi.org/10.3133/fs20163047. ","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065607","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":325681,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3047/coverthb.jpg"},{"id":325682,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3047/fs20163047.pdf","text":"Fact Sheet","size":"1.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3047"}],"country":"United States","state":"Louisiana","county":"St. Helena Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-90.5669,31],[-90.5672,30.8864],[-90.5673,30.8795],[-90.5668,30.8763],[-90.5668,30.869],[-90.568,30.768],[-90.5668,30.7301],[-90.5664,30.7241],[-90.5676,30.6652],[-90.5704,30.6501],[-90.6033,30.6499],[-90.6156,30.65],[-90.9104,30.6506],[-90.9099,30.6525],[-90.9088,30.657],[-90.9024,30.6629],[-90.9013,30.6638],[-90.8932,30.6743],[-90.8863,30.6775],[-90.882,30.6779],[-90.8773,30.6788],[-90.8767,30.6797],[-90.8777,30.6834],[-90.8788,30.6866],[-90.875,30.6902],[-90.8697,30.6911],[-90.8676,30.6929],[-90.866,30.6952],[-90.8638,30.6961],[-90.8569,30.6979],[-90.8532,30.6983],[-90.8495,30.7001],[-90.851,30.7024],[-90.8521,30.7038],[-90.8515,30.7061],[-90.8489,30.7065],[-90.8457,30.7088],[-90.8451,30.7124],[-90.8462,30.7143],[-90.8477,30.7198],[-90.8461,30.7211],[-90.8434,30.7229],[-90.8413,30.7234],[-90.8407,30.7266],[-90.8418,30.7325],[-90.846,30.7362],[-90.8502,30.7417],[-90.8523,30.744],[-90.8512,30.75],[-90.8479,30.7563],[-90.8447,30.7623],[-90.8436,30.7641],[-90.8404,30.7732],[-90.8419,30.7782],[-90.8419,30.7869],[-90.8423,30.7906],[-90.8434,30.7933],[-90.8396,30.797],[-90.8385,30.8024],[-90.839,30.8066],[-90.8379,30.8102],[-90.8347,30.8166],[-90.8352,30.8193],[-90.8378,30.8207],[-90.8405,30.8248],[-90.8421,30.8271],[-90.8447,30.8308],[-90.8457,30.8335],[-90.8468,30.8372],[-90.8425,30.8427],[-90.8414,30.8449],[-90.8424,30.8486],[-90.8493,30.8505],[-90.853,30.8528],[-90.8551,30.856],[-90.8577,30.8629],[-90.8598,30.8679],[-90.8598,30.8743],[-90.856,30.8761],[-90.8528,30.8788],[-90.8491,30.8825],[-90.8484,30.8962],[-90.8505,30.8985],[-90.8532,30.9012],[-90.8553,30.9053],[-90.852,30.9108],[-90.8541,30.9186],[-90.8572,30.9309],[-90.8588,30.9355],[-90.8619,30.9451],[-90.8565,30.9515],[-90.8506,30.9565],[-90.8474,30.9597],[-90.8458,30.9619],[-90.843,30.9747],[-90.8435,30.9839],[-90.8386,30.9916],[-90.829,30.9947],[-90.8268,30.9992],[-90.8124,30.9992],[-90.5669,31]]]},\"properties\":{\"name\":\"Saint Helena\",\"state\":\"LA\"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
Recent data are lacking to assess whether impairments still exist at four of Wisconsin’s largest Lake Michigan harbors that were designated as Areas of Concern (AOCs) in the late 1980s due to sediment contamination and multiple Beneficial Use Impairments (BUIs), such as those affecting benthos (macroinvertebrates) and plankton (zooplankton and phytoplankton) communities. During three seasonal sampling events (“seasons”) in May through August 2012, the U.S. Geological Survey collected sediment benthos and water plankton at the four AOCs as well as six less-degraded non-AOCs along the western Lake Michigan shoreline to assess whether AOC communities were degraded in comparison to non-AOC communities. The four AOCs are the Lower Menominee River, the Lower Green Bay and Fox River, the Sheboygan River, and the Milwaukee Estuary. Due to their size and complexity, multiple locations or “subsites” were sampled within the Lower Green Bay and Fox River AOC (Lower Green Bay, the Fox River near Allouez, and the Fox River near De Pere) and within the Milwaukee Estuary AOC (the Milwaukee River, the Menomonee River, and the Milwaukee Harbor) and single locations were sampled at the other AOCs and non-AOCs. The six non-AOCs are the Escanaba River in Michigan, and the Oconto River, Ahnapee River, Kewaunee River, Manitowoc River, and Root River in Wisconsin. Benthos samples were collected by using Hester-Dendy artificial substrates deployed for 30 days and by using a dredge sampler; zooplankton were collected by net and phytoplankton by whole-water sampler. Except for the Lower Green Bay and Milwaukee Harbor locations, communities at each AOC were compared to all non-AOCs as a group and to paired non-AOCs using taxa relative abundances and metrics, including richness, diversity, and an Index of Biotic Integrity (IBI, for Hester-Dendy samples only). Benthos samples collected during one or more seasons were rated as degraded for at least one metric at all AOCs. In the Milwaukee Estuary, benthos richness was lower in the Milwaukee River subsite spring and summer samples and in the Menomonee River subsite spring sample relative to the paired non-AOCs. Benthos diversity and IBIs at the Menomonee River subsite and IBIs at the Milwaukee River subsite and Sheboygan River were significantly lower than at all non-AOCs as a group across all seasons and therefore were rated as degraded. In addition, IBIs at the Lower Menominee River were significantly lower than those at the paired non-AOCs during all seasons and were therefore rated degraded. Benthos at both Fox River subsites and the Milwaukee River subsite were significantly different from their paired non-AOCs during all three seasons, based on a comparison of the relative abundances of taxa using multivariate testing. Metrics for plankton at AOCs were not significantly lower than those at the paired or group non-AOCs during all seasons; however, zooplankton richness in spring at the Sheboygan River and in fall at the Menomonee River subsite was rated as degraded in comparison to paired non-AOCs. Also, zooplankton richness in fall at the Fox River near Allouez subsite and in spring at the Milwaukee River subsite was rated degraded overall because values were lower than at all non-AOCs as a group and lower than at the paired non-AOCs. Zooplankton diversity in fall at the Fox River near Allouez subsite and the Lower Menominee River was rated degraded in comparison to paired non-AOC comparison sites. Zooplankton communities at the Fox River near Allouez subsite were significantly different from the paired non-AOCs when multivariate comparisons were made without rotifers other than A. priodonta. Overall, benthos and zooplankton BUIs remained at the AOCs in 2012 but no AOCs with a phytoplankton BUI were rated degraded in comparison to non-AOCs. The use of a multiple ecological measures, structural and functional, and multiple statistical analyses, biological metrics and multivariate statistics, provided assessments that defined 2012 status of communities relative to less-impaired non-AOCs in the Great Lakes area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165090","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources and the U.S. Environmental Protection Agency—Great Lakes National Program Office","usgsCitation":"Scudder Eikenberry, B.C., Bell, A.H., Templar, H.A., and Burns, D.J., 2016, Comparison of benthos and plankton for selected Areas of Concern and non-Areas of Concern in Western Lake Michigan Rivers and Harbors in 2012: U.S. Geological Survey Scientific Investigations Report 2016–5090, 28 p., https://dx.doi.org/10.3133/sir20165090.","productDescription":"vi, 38 p.","startPage":"1","endPage":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-071418","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":325585,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5090/sir20165090.pdf","text":"Report","size":"1.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5090"},{"id":325584,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5090/coverthb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.4951171875,\n 41.713930073371294\n ],\n [\n -87.703857421875,\n 42.19596877629178\n ],\n [\n -87.73681640625,\n 42.391008609205045\n ],\n [\n -87.747802734375,\n 42.80346172417078\n ],\n [\n -87.81372070312499,\n 43.004647127794435\n ],\n [\n -87.791748046875,\n 43.46089378008257\n ],\n [\n -87.60498046875,\n 43.82660134505384\n ],\n [\n -87.615966796875,\n 44.03232064275084\n ],\n [\n -87.440185546875,\n 44.32384807250689\n ],\n [\n -87.396240234375,\n 44.61393394730626\n ],\n [\n -87.29736328125,\n 44.77793589631623\n ],\n [\n -87.528076171875,\n 44.879228141635274\n ],\n [\n -87.84530639648436,\n 44.621265367781014\n ],\n [\n -87.86453247070312,\n 44.621265367781014\n ],\n [\n -87.91706085205078,\n 44.57848569904532\n ],\n [\n -87.91053771972656,\n 44.56870306646167\n ],\n [\n -87.96066284179688,\n 44.535429806668404\n ],\n [\n -87.99671173095703,\n 44.54497334861026\n ],\n [\n -88.341064453125,\n 44.68427737181225\n ],\n [\n -88.450927734375,\n 44.89479576469787\n ],\n [\n -88.08837890625,\n 44.98811302615805\n ],\n [\n -87.890625,\n 45.10454630976873\n ],\n [\n -87.264404296875,\n 45.259422036351694\n ],\n [\n -87.57202148437499,\n 45.62940492064501\n ],\n [\n -87.066650390625,\n 45.706179285330855\n ],\n [\n -86.9677734375,\n 46.263442671779885\n ],\n [\n -87.4951171875,\n 46.430285240839964\n ],\n [\n -87.9345703125,\n 46.61171462536894\n ],\n [\n -88.3740234375,\n 46.64189395892874\n ],\n [\n -88.70361328125,\n 46.61171462536894\n ],\n [\n -88.604736328125,\n 46.31658418182218\n ],\n [\n -89.18701171875,\n 46.20264638061019\n ],\n [\n -89.154052734375,\n 45.96642454131025\n ],\n [\n -89.09912109375,\n 45.775186183521036\n ],\n [\n -89.02221679687499,\n 45.60635207711834\n ],\n [\n -89.12109375,\n 45.38301927899065\n ],\n [\n -89.176025390625,\n 45.1433047394883\n ],\n [\n -89.20898437499999,\n 44.88701247981298\n ],\n [\n -89.47265625,\n 44.42593442145313\n ],\n [\n -90.054931640625,\n 43.82660134505384\n ],\n [\n -89.527587890625,\n 43.48481212891603\n ],\n [\n -88.846435546875,\n 43.52465500687185\n ],\n [\n -88.494873046875,\n 43.39706523932025\n ],\n [\n -88.39599609375,\n 42.98857645832184\n ],\n [\n -87.4951171875,\n 41.713930073371294\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
http://wi.water.usgs.gov
Sagebrush steppe of North America is considered highly imperilled, in part owing to increased fire frequency. Sagebrush ecosystems support numerous species, and it is important to understand those factors that affect rates of post-fire sagebrush recovery. We explored recovery of Wyoming big sagebrush (Artemisia tridentata ssp.wyomingensis) and basin big sagebrush (A. tridentata ssp. tridentata) communities following fire in the northern Columbia Basin (Washington, USA). We sampled plots across 16 fires that burned in big sagebrush communities from 5 to 28 years ago, and also sampled nearby unburned locations. Mixed-effects models demonstrated that density of large–mature big sagebrush plants and percentage cover of big sagebrush were higher with time since fire and in plots with more precipitation during the winter immediately following fire, but were lower when precipitation the next winter was higher than average, especially on soils with higher available water supply, and with greater post-fire mortality of mature big sagebrush plants. Bunchgrass cover 5 to 28 years after fire was predicted to be lower with higher cover of both shrubs and non-native herbaceous species, and only slightly higher with time. Post-fire recovery of big sagebrush in the northern Columbia Basin is a slow process that may require several decades on average, but faster recovery rates may occur under specific site and climate conditions.
","language":"English","publisher":"CSIRO","doi":"10.1071/WF16013","usgsCitation":"Shinneman, D.J., and McIlroy, S., 2016, Identifying key climate and environmental factors affecting rates of post-fire big sagebrush (Artemisia tridentata) recovery in the northern Columbia Basin, USA: International Journal of Wildland Fire, v. 25, no. 9, p. 933-945, https://doi.org/10.1071/WF16013.","productDescription":"13 p.","startPage":"933","endPage":"945","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071151","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":325597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.99243164062501,\n 46.13417004624326\n ],\n [\n -120.99243164062501,\n 48.22467264956519\n ],\n [\n -117.103271484375,\n 48.22467264956519\n ],\n [\n -117.103271484375,\n 46.13417004624326\n ],\n [\n -120.99243164062501,\n 46.13417004624326\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57972a21e4b021cadec86f1f","contributors":{"authors":[{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","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":643467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":169446,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","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":643468,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174960,"text":"70174960 - 2016 - Environmental toxicology without chemistry and publications without discourse: Linked impediments to better science","interactions":[],"lastModifiedDate":"2016-07-25T13:09:37","indexId":"70174960","displayToPublicDate":"2016-07-25T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Environmental toxicology without chemistry and publications without discourse: Linked impediments to better science","docAbstract":"No abstract available.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.3418","usgsCitation":"Mebane, C.A., and Meyer, J.S., 2016, Environmental toxicology without chemistry and publications without discourse: Linked impediments to better science: Environmental Toxicology and Chemistry, v. 35, no. 6, p. 1335-1336, https://doi.org/10.1002/etc.3418.","productDescription":"2 p.","startPage":"1335","endPage":"1336","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071559","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":325594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-01","publicationStatus":"PW","scienceBaseUri":"57972a21e4b021cadec86f19","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Joseph S.","contributorId":173130,"corporation":false,"usgs":false,"family":"Meyer","given":"Joseph","email":"","middleInitial":"S.","affiliations":[{"id":27156,"text":"Colorado School of Mines/ARCADIS Inc.","active":true,"usgs":false}],"preferred":false,"id":643395,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174823,"text":"fs20163049 - 2016 - Water resources of Tangipahoa Parish, Louisiana","interactions":[],"lastModifiedDate":"2016-09-27T09:31:30","indexId":"fs20163049","displayToPublicDate":"2016-07-25T00:00:00","publicationYear":"2016","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":"2016-3049","title":"Water resources of Tangipahoa Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in Tangipahoa Parish, Louisiana, is critical for proper water-resource management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163049","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L.B., 2016, Water resources of Tangipahoa Parish, Louisiana: U.S. Geological Survey Fact Sheet 2016–3049, 6 p., https://dx.doi.org/10.3133/fs20163049.","productDescription":"6 p.","startPage":"1","endPage":"6","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065604","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":325340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3049/coverthb.jpg"},{"id":325595,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3049/fs20163049.pdf","text":"Fact Sheet","size":"2.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3049"}],"country":"United States","state":"Louisiana","county":"Tangipahoa Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-90.3482,31.0012],[-90.3477,30.9949],[-90.3468,30.9058],[-90.3346,30.9048],[-90.3347,30.9016],[-90.3298,30.902],[-90.33,30.891],[-90.3167,30.8913],[-90.3168,30.8813],[-90.3159,30.8748],[-90.3159,30.8703],[-90.3139,30.8643],[-90.3097,30.8574],[-90.3013,30.8509],[-90.2992,30.8472],[-90.2971,30.8445],[-90.2956,30.8385],[-90.2936,30.8316],[-90.2926,30.828],[-90.2917,30.8134],[-90.2939,30.8079],[-90.2913,30.8033],[-90.2861,30.7987],[-90.2809,30.7936],[-90.2794,30.7812],[-90.2768,30.7775],[-90.2731,30.7757],[-90.2716,30.7738],[-90.2663,30.7674],[-90.2648,30.7655],[-90.2637,30.7623],[-90.2651,30.7413],[-90.2636,30.7372],[-90.2615,30.7339],[-90.2578,30.7321],[-90.2552,30.7284],[-90.2553,30.7224],[-90.2554,30.7174],[-90.256,30.7124],[-90.2567,30.7024],[-90.2515,30.6936],[-90.2495,30.6863],[-90.2485,30.6799],[-90.2491,30.6758],[-90.2508,30.6698],[-90.2525,30.6657],[-90.2525,30.6612],[-90.2521,30.657],[-90.25,30.652],[-90.2458,30.6469],[-90.2448,30.6428],[-90.2444,30.6391],[-90.2461,30.6323],[-90.2467,30.5925],[-90.2458,30.577],[-90.2444,30.5299],[-90.2442,30.5093],[-90.2443,30.5061],[-90.2443,30.5038],[-90.2433,30.2247],[-90.2776,30.2306],[-90.2972,30.294],[-90.312,30.2955],[-90.3199,30.2988],[-90.3337,30.2953],[-90.349,30.2973],[-90.3629,30.2905],[-90.373,30.2833],[-90.3841,30.2871],[-90.3915,30.2849],[-90.4016,30.2854],[-90.42,30.2902],[-90.4316,30.2958],[-90.4426,30.3046],[-90.475,30.3365],[-90.476,30.3401],[-90.4738,30.3438],[-90.4759,30.3507],[-90.48,30.3585],[-90.4896,30.3554],[-90.4884,30.3631],[-90.4921,30.3664],[-90.5027,30.3624],[-90.5043,30.3637],[-90.5026,30.3692],[-90.5009,30.3779],[-90.5019,30.3848],[-90.504,30.3871],[-90.5077,30.3885],[-90.5114,30.3913],[-90.5119,30.3954],[-90.5123,30.3986],[-90.5134,30.4018],[-90.5155,30.4041],[-90.5175,30.4069],[-90.5186,30.4105],[-90.5196,30.4124],[-90.5254,30.4174],[-90.5301,30.4179],[-90.5343,30.4212],[-90.539,30.4244],[-90.5427,30.4277],[-90.5459,30.4304],[-90.5468,30.4378],[-90.5468,30.4423],[-90.5457,30.4469],[-90.5478,30.4492],[-90.5499,30.4515],[-90.5503,30.4588],[-90.5502,30.4657],[-90.5528,30.4698],[-90.5549,30.4749],[-90.5554,30.4785],[-90.559,30.4845],[-90.567,30.4869],[-90.5671,30.5239],[-90.567,30.5317],[-90.5674,30.6313],[-90.5704,30.6501],[-90.5676,30.6652],[-90.5664,30.7241],[-90.5668,30.7301],[-90.568,30.768],[-90.5668,30.869],[-90.5668,30.8763],[-90.5673,30.8795],[-90.5672,30.8864],[-90.5669,31],[-90.5502,31],[-90.5048,31.0003],[-90.3482,31.0012]]]},\"properties\":{\"name\":\"Tangipahoa\",\"state\":\"LA\"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-07-25","noUsgsAuthors":false,"publicationDate":"2016-07-25","publicationStatus":"PW","scienceBaseUri":"57972a21e4b021cadec86f21","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":139067,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","email":"lprakken@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":643479,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70170934,"text":"sir20165051 - 2016 - Evaluation of National Atmospheric Deposition Program measurements for colocated sites CO89 and CO98 at Rocky Mountain National Park, water years 2010–14","interactions":[],"lastModifiedDate":"2016-07-25T09:15:52","indexId":"sir20165051","displayToPublicDate":"2016-07-22T16:00:00","publicationYear":"2016","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":"2016-5051","title":"Evaluation of National Atmospheric Deposition Program measurements for colocated sites CO89 and CO98 at Rocky Mountain National Park, water years 2010–14","docAbstract":"
Atmospheric wet-deposition monitoring in Rocky Mountain National Park included precipitation depth and aqueous chemical measurements at colocated National Atmospheric Deposition Program/National Trends Network (NADP/NTN) sites CO89 and CO98 (Loch Vale) during water years 2010–14 (study period). The colocated sites were separated by approximately 6.5 meters horizontally and 0.5 meter in elevation, in accordance with NADP siting criteria. Assessment of the 5-year record of colocated data is intended to inform man-agement decisions pertaining to the achievement of nitrogen deposition reduction goals of the Rocky Mountain National Park Nitrogen Deposition Reduction Plan.
The data at site CO98 met NADP completeness criteria for the first time in 29 years of operation in 2011 and then again in 2012. During the study period, data at site CO89 met completeness criteria in 2012. Median weekly relative precipitation-depth differences between sites CO89 and CO98 ranged from 0 to 0.25 millimeter during the study period. Median weekly absolute percent differences in sample volume ranged from 5 to 10 percent. Median relative concentration differences for weekly ammonium (NH4+) and nitrate (NO3-) concentrations were near the NADP Central Analytical Laboratory’s method detection limits and thus were considered small. Absolute percent differences for water-year 2010–14 precipitation-weighted mean concentrations of NH4+, NO3-, and inorganic nitrogen (Ninorg) ranged from 0.0 to 25.7 percent. Absolute percent differences for water-year 2010–14 NH4+, NO3-, and Ninorg deposition ranged from 2.1 to 18.9 percent, 3.3 to 24.5 percent, and 0.3 to 17.4 percent, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165051","usgsCitation":"Wetherbee, G.A., 2016, Evaluation of National Atmospheric Deposition Program measurements for colocated sites CO89 and CO98 at Rocky Mountain National Park, water years 2010–14: U.S. Geological Survey Scientific Investigations Report 2016–5051, 32 p., https://dx.doi.org/10.3133/sir20165051.","productDescription":"vi, 32 p.","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073496","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":325482,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5051/sir20165051.pdf","text":"Report","size":"16.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5051"},{"id":325481,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5051/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.5,\n 39.5\n ],\n [\n -104.5,\n 41\n ],\n [\n -106,\n 41\n ],\n [\n -106,\n 39.5\n ],\n [\n -104.5,\n 39.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Chief, USGS Branch of Quality Systems
Box 25046, Mail Stop 401
Denver, CO 80225
Drag force at the bed acting on water flow is a major control on water circulation and sediment transport. Bed drag has been thoroughly studied in sandy waters, but less so in muddy coastal waters. The variation of bed drag on a muddy shelf is investigated here using field observations of currents, waves, and sediment concentration collected during moderate wind and wave events. To estimate bottom shear stress and the bed drag coefficient, an indirect empirical method of logarithmic fitting to current velocity profiles (log-law), a bottom boundary layer model for combined wave-current flow, and a direct method that uses turbulent fluctuations of velocity are used. The overestimation by the log-law is significantly reduced by taking turbulence suppression due to sediment-induced stratification into account. The best agreement between the model and the direct estimates is obtained by using a hydraulic roughness of 10
Trace-metal concentrations in sediment and in the clam Macoma petalum (formerly reported as Macoma balthica), clam reproductive activity, and benthic macroinvertebrate community structure were investigated in a mudflat 1 kilometer south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in South San Francisco Bay, California. This report includes data collected by U.S. Geological Survey (USGS) scientists for the period from January 2015 to December 2015. These data are appended to long-term datasets extending back to 1974, and serve as the basis for the City of Palo Alto’s Near-Field Receiving Water Monitoring Program, initiated in 1994.
\nFollowing significant reductions in the late 1980s, silver (Ag) and copper (Cu) concentrations in sediment and M. petalum appear to have stabilized. Data for other metals, including chromium (Cr), mercury (Hg), nickel (Ni), selenium (Se), and zinc (Zn), have been collected since 1994. Over this period, concentrations of these elements have remained relatively constant, aside from seasonal variation that is common to all elements. In 2015, concentrations of Ag and Cu in M. petalum varied seasonally in response to a combination of site-specific metal exposures and annual growth and reproduction, as reported previously. Seasonal patterns for other elements, including Cr, Ni, Zn, Hg, and Se, were generally similar in timing and magnitude as those for Ag and Cu. In M. petalum, all observed elements showed annual maxima in January–February and minima in April, except for Zn, which was lowest in December. In sediments, annual maxima also occurred in January–February, and minima were measured in June and September. In 2015, metal concentrations in both sediments and clam tissue were among the lowest on record. This record suggests that regional-scale factors now largely control sedimentary and bioavailable concentrations of Ag and Cu, as well as other elements of regulatory interest, at the Palo Alto site.
\nAnalyses of the benthic community structure at the same mudflat over a 40-year period show that changes in the community have occurred concurrent with reduced concentrations of metals in the sediment and in the tissues of the biosentinel clam, M. petalum, from the same area. Analysis of M. petalum shows increases in reproductive activity concurrent with the decline in metal concentrations in the tissues of this organism. Reproductive activity is presently stable (2015), with almost all animals initiating reproduction in the fall and spawning the following spring. The entire infaunal community has shifted from being dominated by several opportunistic species to a community where the species are more similar in abundance, a pattern that indicates a more stable community that is subjected to fewer stressors. In addition, two of the opportunistic species (Ampelisca abdita and Streblospio benedicti) that brood their young and live on the surface of the sediment in tubes have shown a continual decline in dominance coincident with the decline in metals; both species had short-lived rebounds in abundance in 2008, 2009, and 2010 and showed signs of increasing abundance in 2015. Heteromastus filiformis (a subsurface polychaete worm that lives in the sediment, consumes sediment and organic particles residing in the sediment, and reproduces by laying its eggs on or in the sediment) showed an increase in dominance, concurrent with the decrease in Ag and Cu concentrations, and in the last several years before 2008, showed a stable population. H. filiformis abundance increased slightly in 2011–2012 and returned to pre-2011 abundance in 2015. An unidentified disturbance occurred on the mudflat in early 2008 that resulted in the loss of the benthic animals, except for deep-dwelling animals like M. petalum. However, within two months of this event animals returned to the mudflat. The resilience of the community suggested that the disturbance was not due to a persistent toxin or to anoxia. The reproductive mode of most species present in 2015 is reflective of species that were available either as pelagic larvae or as mobile adults. Although oviparous (live-birth) species were lower in number in this group, the authors hypothesize that these species will return slowly as more species move back into the area. The use of functional ecology was highlighted in the 2015 benthic community data, which showed that the animals that have now returned to the mudflat are those that can respond successfully to a physical, nontoxic disturbance. Today, community data show a mix of species that consume the sediment, or filter feed, have pelagic larvae that must survive landing on the sediment, and those that brood their young. USGS scientists view the 2008 disturbance event as a response by the infaunal community to an episodic natural stressor (possibly sediment accretion or a pulse of freshwater), in contrast to the long-term recovery from metal contamination. We will compare this recovery to the long-term recovery observed after the 1970s when the decline in sediment pollutants was the dominating factor.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161118","collaboration":"Prepared in cooperation with the City of Palo Alto, California","usgsCitation":"Cain, D.J., Thompson, J.K., Crauder, Jeff, Parchaso, Francis, Stewart, Robin, Turner, Mathew, Hornberger, M.I., and Luoma, S.N., 2016, Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2015: U.S. Geological Survey Open-File Report 2016–1118, 78 p., https://dx.doi.org/10.3133/ofr20161118.","productDescription":"vii, 78 p.","numberOfPages":"87","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076608","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":416191,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231017","text":"Open-File Report 2023-1017","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2020"},{"id":416190,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20211079","text":"Open-File Report 2021-1079","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2019"},{"id":416189,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20191084","text":"Open-File Report 2019-1084","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2018"},{"id":416188,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181107","text":"Open-File Report 2018-1107","linkHelpText":"- Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2017"},{"id":416187,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20171135","text":"Open-File Report 2017-1135","linkHelpText":"- Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2016"},{"id":325514,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1118/coverthb.jpg"},{"id":325515,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1118/ofr20161118.pdf","text":"Report","size":"4.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1118"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.14530944824217,\n 37.40452830389465\n ],\n [\n -122.14530944824217,\n 37.52443079581378\n ],\n [\n -121.91871643066406,\n 37.52443079581378\n ],\n [\n -121.91871643066406,\n 37.40452830389465\n ],\n [\n -122.14530944824217,\n 37.40452830389465\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"NRP staff
National Research Program
U.S. Geological Survey
345 Middlefield Road, MS-435
Menlo Park, CA 94025
http://water.usgs.gov/nrp/
A forty year time series of Secchi depth observations from approximately 25 lakes in Acadia National Park, Maine, USA, evidences large variations in transparency between lakes but relatively little seasonal cycle within lakes. However, there are coherent patterns over the time series, suggesting large scale processes are responsible. It has been suggested that variations in colored dissolved organic matter (CDOM) are primarily responsible for the variations in transparency, both between lakes and over time and further that CDOM is a robust optical proxy for dissolved organic carbon (DOC). Here we present a forward model of Secchi depth as a function of DOC based upon first principles and bio-optical relationships. Inverting the model to estimate DOC concentration from Secchi depth observations compared well with the measured DOC concentrations collected since 1995 (RMS error < 1.3 mg C l-1). This inverse model allows the time series of DOC to be extended back to the mid 1970s when only Secchi depth observations were collected, and thus provides a means for investigating lake response to climate forcing, changing atmospheric chemistry and watershed characteristics, including land cover and land use.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Aquatic nutrient biogeochemistry and microbial ecology: A dual perspective","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-30259-1_18","usgsCitation":"Roesler, C.S., and Culbertson, C.W., 2016, Lake transparency: a window into decadal variations in dissolved organic carbon concentrations in Lakes of Acadia National Park, Maine, chap. of Aquatic nutrient biogeochemistry and microbial ecology: A dual perspective, p. 225-236, https://doi.org/10.1007/978-3-319-30259-1_18.","productDescription":"12 p.","startPage":"225","endPage":"236","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070183","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":328115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-22","publicationStatus":"PW","scienceBaseUri":"57c7ffb7e4b0f2f0cebfc2a4","contributors":{"authors":[{"text":"Roesler, Collin S.","contributorId":152025,"corporation":false,"usgs":false,"family":"Roesler","given":"Collin","email":"","middleInitial":"S.","affiliations":[{"id":18855,"text":"Department of Earth and Oceanographic Science, Bowdoin College, Brunswick, ME","active":true,"usgs":false}],"preferred":false,"id":587575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culbertson, Charles W. cculbert@usgs.gov","contributorId":1607,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles","email":"cculbert@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587574,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70170955,"text":"ofr20161074 - 2016 - The structure and composition of Holocene coral reefs in the Middle Florida Keys","interactions":[],"lastModifiedDate":"2023-11-15T12:39:12.399765","indexId":"ofr20161074","displayToPublicDate":"2016-07-21T16:45:00","publicationYear":"2016","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":"2016-1074","title":"The structure and composition of Holocene coral reefs in the Middle Florida Keys","docAbstract":"The Florida Keys reef tract (FKRT) is the largest coral-reef ecosystem in the continental United States. The modern FKRT extends for 362 kilometers along the coast of South Florida from Dry Tortugas National Park in the southwest, through the Florida Keys National Marine Sanctuary (FKNMS), to Fowey Rocks reef in Biscayne National Park in the northeast. Most reefs along the FKRT are sheltered by the exposed islands of the Florida Keys; however, large channels are located between the islands of the Middle Keys. These openings allow for tidal transport of water from Florida Bay onto reefs in the area. The characteristics of the water masses coming from Florida Bay, which can experience broad swings in temperature, salinity, nutrients, and turbidity over short periods of time, are generally unfavorable or “inimical” to coral growth and reef development.
Although reef habitats are ubiquitous throughout most of the Upper and Lower Keys, relatively few modern reefs exist in the Middle Keys most likely because of the impacts of inimical waters from Florida Bay. The reefs that are present in the Middle Keys generally are poorly developed compared with reefs elsewhere in the region. For example, Acropora palmata has been the dominant coral on shallow-water reefs in the Caribbean over the last 1.5 million years until populations of the coral declined throughout the region in recent decades. Although A. palmata was historically abundant in the Florida Keys, it was conspicuously absent from reefs in the Middle Keys. Instead, contemporary reefs in the Middle Keys have been dominated by occasional massive (that is, boulder or head) corals and, more often, small, non-reef-building corals.
Holocene reef cores have been collected from many locations along the FKRT; however, despite the potential importance of the history of reefs in the Middle Florida Keys to our understanding of the environmental controls on reef development throughout the FKRT, there are currently no published records of the Holocene history of reefs in the region. The objectives of the present study were to (1) provide general descriptions of unpublished core records from Alligator Reef and (2) collect and describe new Holocene reef cores from two additional locations in the Middle Keys: Sombrero and Tennessee Reefs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161074","usgsCitation":"Toth, L.T., Stathakopoulos, Anastasios, and Kuffner, I.B., 2016, The structure and composition of Holocene coral reefs in the Middle Florida Keys: U.S. Geological Survey Open-File Report 2016–1074, 27 p., https://dx.doi.org/10.3133/ofr20161074.","productDescription":"v, 27 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074381","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":325513,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1074/ofr20161074.pdf","text":"Report","size":"5.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1074"},{"id":325512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1074/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.32080078125,\n 24.58459276519208\n ],\n [\n -81.32080078125,\n 25.013439812256372\n ],\n [\n -80.43365478515625,\n 25.013439812256372\n ],\n [\n -80.43365478515625,\n 24.58459276519208\n ],\n [\n -81.32080078125,\n 24.58459276519208\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
6000 4th Street South
St. Petersburg, FL 33701
(727) 502-8068
http://coastal.er.usgs.gov/
Survival of out-migrating juvenile Chinook salmon (Oncorhynchus tshawytscha) in the Sacramento–San Joaquin River delta, California, USA, varies by migration route. Survival of salmonids that enter the interior and southern Delta can be as low as half that of salmonids that remain in the main-stem Sacramento River. Reducing entrainment into the higher-mortality routes, such as Georgiana Slough, should increase overall survival. In spring 2014, a floating fish-guidance structure (FFGS) designed to reduce entrainment into Georgiana Slough was deployed just upstream of the Georgiana Slough divergence. We used acoustic telemetry to evaluate the effect of the FFGS on Chinook entrainment to Georgiana Slough. At intermediate discharge (200–400 m3 s–1), entrainment into Georgiana Slough was five percentage points lower when the FFGS was in the on state (19.1% on; 23.9% off). At higher discharge (>400 m3 s–1), entrainment was higher when the FFGS was in the on state (19.3% on; 9.7% off), and at lower discharge (0–200 m3 s–1) entrainment was lower when the FFGS was in the on state (43.7% on; 47.3% off). We found that discharge, cross-stream fish position, time of day, and proportion of flow remaining in the Sacramento River contributed to the probability of being entrained to Georgiana Slough.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF15285","usgsCitation":"Romine, J.G., Perry, R.W., Pope, A.C., Stumpner, P., Liedtke, T.L., Kumagai, K.K., and Reeves, R., 2016, Evaluation of a floating fish guidance structure at a hydrodynamically complex river junction in the Sacramento-San Joaquin River Delta, California, USA: Marine and Freshwater Research, v. 68, no. 5, p. 878-888, https://doi.org/10.1071/MF15285.","productDescription":"11 p.","startPage":"878","endPage":"888","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069658","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":325703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River delta","volume":"68","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5799db4de4b0589fa1c7e87d","contributors":{"authors":[{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pope, Adam C. 0000-0002-7253-2247 apope@usgs.gov","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":5664,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","email":"apope@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":643499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stumpner, Paul 0000-0002-0933-7895 pstump@usgs.gov","orcid":"https://orcid.org/0000-0002-0933-7895","contributorId":5667,"corporation":false,"usgs":true,"family":"Stumpner","given":"Paul","email":"pstump@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643500,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643501,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kumagai, Kevin K.","contributorId":173161,"corporation":false,"usgs":false,"family":"Kumagai","given":"Kevin","email":"","middleInitial":"K.","affiliations":[{"id":27168,"text":"Hydroacoustic Technology, Inc., Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":643502,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reeves, Ryan L.","contributorId":173162,"corporation":false,"usgs":false,"family":"Reeves","given":"Ryan L.","affiliations":[{"id":27169,"text":"California Department of Water Resources, Bay-Delta Office, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":643503,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173914,"text":"70173914 - 2016 - Characterization of mean transit time at large springs in the Upper Colorado River Basin, USA: A tool for assessing groundwater discharge vulnerability","interactions":[],"lastModifiedDate":"2016-12-09T16:26:20","indexId":"70173914","displayToPublicDate":"2016-07-20T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of mean transit time at large springs in the Upper Colorado River Basin, USA: A tool for assessing groundwater discharge vulnerability","docAbstract":"Environmental tracers (noble gases, tritium, industrial gases, stable isotopes, and radio-carbon) and hydrogeology were interpreted to determine groundwater transit-time distribution and calculate mean transit time (MTT) with lumped parameter modeling at 19 large springs distributed throughout the Upper Colorado River Basin (UCRB), USA. The predictive value of the MTT to evaluate the pattern and timing of groundwater response to hydraulic stress (i.e., vulnerability) is examined by a statistical analysis of MTT, historical spring discharge records, and the Palmer Hydrological Drought Index. MTTs of the springs range from 10 to 15,000 years and 90 % of the cumulative discharge-weighted travel-time distribution falls within the range of 2−10,000 years. Historical variability in discharge was assessed as the ratio of 10–90 % flow-exceedance (R 10/90%) and ranged from 2.8 to 1.1 for select springs with available discharge data. The lag-time (i.e., delay in discharge response to drought conditions) was determined by cross-correlation analysis and ranged from 0.5 to 6 years for the same select springs. Springs with shorter MTTs (<80 years) statistically correlate with larger discharge variations and faster responses to drought, indicating MTT can be used for estimating the relative magnitude and timing of groundwater response. Results indicate that groundwater discharge to streams in the UCRB will likely respond on the order of years to climate variation and increasing groundwater withdrawals.
","language":"English","publisher":"International Association of Hydrogeologists","doi":"10.1007/s10040-016-1440-9","usgsCitation":"Solder, J.E., Stolp, B.J., Heilweil, V.M., and Susong, D.D., 2016, Characterization of mean transit time at large springs in the Upper Colorado River Basin, USA: A tool for assessing groundwater discharge vulnerability: Hydrogeology Journal, v. 24, no. 8, p. 2017-2033, https://doi.org/10.1007/s10040-016-1440-9.","productDescription":"17 p.","startPage":"2017","endPage":"2033","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075897","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":325907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","volume":"24","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-20","publicationStatus":"PW","scienceBaseUri":"57a1c42de4b006cb45552bfb","contributors":{"authors":[{"text":"Solder, John E. 0000-0002-0660-3326 jsolder@usgs.gov","orcid":"https://orcid.org/0000-0002-0660-3326","contributorId":171916,"corporation":false,"usgs":true,"family":"Solder","given":"John","email":"jsolder@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":639086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stolp, Bernard J. 0000-0003-3803-1497 bjstolp@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":963,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard","email":"bjstolp@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":639088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":639087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Susong, David D. ddsusong@usgs.gov","contributorId":1040,"corporation":false,"usgs":true,"family":"Susong","given":"David","email":"ddsusong@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":639089,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174821,"text":"sir20165100 - 2016 - Water-quality trends and constituent-transport analysis for selected sampling sites in the Milltown Reservoir/Clark Fork River Superfund Site in the upper Clark Fork Basin, Montana, water years 1996–2015","interactions":[],"lastModifiedDate":"2016-07-20T11:54:23","indexId":"sir20165100","displayToPublicDate":"2016-07-20T00:00:00","publicationYear":"2016","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":"2016-5100","title":"Water-quality trends and constituent-transport analysis for selected sampling sites in the Milltown Reservoir/Clark Fork River Superfund Site in the upper Clark Fork Basin, Montana, water years 1996–2015","docAbstract":"During the extended history of mining in the upper Clark Fork Basin in Montana, large amounts of waste materials enriched with metallic contaminants (cadmium, copper, lead, and zinc) and the metalloid trace element arsenic were generated from mining operations near Butte and milling and smelting operations near Anaconda. Extensive deposition of mining wastes in the Silver Bow Creek and Clark Fork channels and flood plains had substantial effects on water quality. Federal Superfund remediation activities in the upper Clark Fork Basin began in 1983 and have included substantial remediation near Butte and removal of the former Milltown Dam near Missoula. To aid in evaluating the effects of remediation activities on water quality, the U.S. Geological Survey began collecting streamflow and water-quality data in the upper Clark Fork Basin in the 1980s.
Trend analysis was done on specific conductance, selected trace elements (arsenic, copper, and zinc), and suspended sediment for seven sampling sites in the Milltown Reservoir/Clark Fork River Superfund Site for water years 1996–2015. The most upstream site included in trend analysis is Silver Bow Creek at Warm Springs, Montana (sampling site 8), and the most downstream site is Clark Fork above Missoula, Montana (sampling site 22), which is just downstream from the former Milltown Dam. Water year is the 12-month period from October 1 through September 30 and is designated by the year in which it ends. Trend analysis was done by using a joint time-series model for concentration and streamflow. To provide temporal resolution of changes in water quality, trend analysis was conducted for four sequential 5-year periods: period 1 (water years 1996–2000), period 2 (water years 2001–5), period 3 (water years 2006–10), and period 4 (water years 2011–15). Because of the substantial effect of the intentional breach of Milltown Dam on March 28, 2008, period 3 was subdivided into period 3A (October 1, 2005–March 27, 2008) and period 3B (March 28, 2008–September 30, 2010) for the Clark Fork above Missoula (sampling site 22). Trend results were considered statistically significant when the statistical probability level was less than 0.01.
In conjunction with the trend analysis, estimated normalized constituent loads (hereinafter referred to as “loads”) were calculated and presented within the framework of a constituent-transport analysis to assess the temporal trends in flow-adjusted concentrations (FACs) in the context of sources and transport. The transport analysis allows assessment of temporal changes in relative contributions from upstream source areas to loads transported past each reach outflow.
Trend results indicate that FACs of unfiltered-recoverable copper decreased at the sampling sites from the start of period 1 through the end of period 4; the decreases ranged from large for one sampling site (Silver Bow Creek at Warm Springs [sampling site 8]) to moderate for two sampling sites (Clark Fork near Galen, Montana [sampling site 11] and Clark Fork above Missoula [sampling site 22]) to small for four sampling sites (Clark Fork at Deer Lodge, Montana [sampling site 14], Clark Fork at Goldcreek, Montana [sampling site 16], Clark Fork near Drummond, Montana [sampling site 18], and Clark Fork at Turah Bridge near Bonner, Montana [sampling site 20]). For period 4 (water years 2011–15), the most notable changes indicated for the Milltown Reservoir/Clark Fork River Superfund Site were statistically significant decreases in FACs and loads of unfiltered-recoverable copper for sampling sites 8 and 22. The period 4 changes in FACs of unfiltered-recoverable copper for all other sampling sites were not statistically significant.
Trend results indicate that FACs of unfiltered-recoverable arsenic decreased at the sampling sites from period 1 through period 4 (water years 1996–2015); the decreases ranged from minor (sampling sites 8–20) to small (sampling site 22). For period 4 (water years 2011–15), the most notable changes indicated for the Milltown Reservoir/Clark Fork River Superfund Site were statistically significant decreases in FACs and loads of unfiltered-recoverable arsenic for sampling site 8 and near statistically significant decreases for sampling site 22. The period 4 changes in FACs of unfiltered-recoverable arsenic for all other sampling sites were not statistically significant.
Trend results indicate that FACs of suspended sediment decreased at the sampling sites from period 1 through period 4 (water years 1996–2015); the decreases ranged from moderate (sampling site 8) to small (sampling sites 11–22). For period 4 (water years 2011–15), the changes in FACs of suspended sediment were not statistically significant for any sampling sites.
The reach of the Clark Fork from Galen to Deer Lodge is a large source of metallic contaminants and suspended sediment, which strongly affects downstream transport of those constituents. Mobilization of copper and suspended sediment from flood-plain tailings and the streambed of the Clark Fork and its tributaries within the reach results in a contribution of those constituents that is proportionally much larger than the contribution of streamflow from within the reach. Within the reach from Galen to Deer Lodge, unfiltered-recoverable copper loads increased by a factor of about 4 and suspended-sediment loads increased by a factor of about 5, whereas streamflow increased by a factor of slightly less than 2. For period 4 (water years 2011–15), unfiltered-recoverable copper and suspended-sediment loads sourced from within the reach accounted for about 41 and 14 percent, respectively, of the loads at Clark Fork above Missoula (sampling site 22), whereas streamflow sourced from within the reach accounted for about 4 percent of the streamflow at sampling site 22. During water years 1996–2015, decreases in FACs and loads of unfiltered-recoverable copper and suspended sediment for the reach generally were proportionally smaller than for most other reaches.
Unfiltered-recoverable copper loads sourced within the reaches of the Clark Fork between Deer Lodge and Turah Bridge near Bonner (just upstream from the former Milltown Dam) were proportionally smaller than contributions of streamflow sourced from within the reaches; these reaches contributed proportionally much less to copper loading in the Clark Fork than the reach between Galen and Deer Lodge. Although substantial decreases in FACs and loads of unfiltered-recoverable copper and suspended sediment were indicated for Silver Bow Creek at Warm Springs (sampling site 8), those substantial decreases were not translated to downstream reaches between Deer Lodge and Turah Bridge near Bonner. The effect of the reach of the Clark Fork from Galen to Deer Lodge as a large source of copper and suspended sediment, in combination with little temporal change in those constituents for the reach, contributes to this pattern.
With the removal of the former Milltown Dam in 2008, substantial amounts of contaminated sediments that remained in the Clark Fork channel and flood plain in reach 9 (downstream from Turah Bridge near Bonner) became more available for mobilization and transport than before the dam removal. After the removal of the former Milltown Dam, the Clark Fork above Missoula (sampling site 22) had statistically significant decreases in FACs of unfiltered-recoverable copper in period 3B (March 28, 2008, through water year 2010) that continued in period 4 (water years 2011–15). Also, decreases in FACs of unfiltered-recoverable arsenic and suspended sediment were indicated for period 4 at this site. The decrease in FACs of unfiltered-recoverable copper for sampling site 22 during period 4 was proportionally much larger than the decrease for the Clark Fork at Turah Bridge near Bonner (sampling site 20). Net mobilization of unfiltered-recoverable copper and arsenic from sources within reach 9 are smaller for period 4 than for period 1 when the former Milltown Dam was in place, providing evidence that contaminant source materials have been substantially reduced in reach 9.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165100","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Sando, S.K., and Vecchia, A.V., 2016, Water-quality trends and constituent-transport analysis for selected sampling sites in the Milltown Reservoir/Clark Fork River Superfund Site in the upper Clark Fork Basin, Montana, water years 1996–2015: U.S. Geological Survey Scientific Investigations Report 2016–5100, 82 p., https://dx.doi.org/10.3133/sir20165100.","productDescription":"viii, 82 p.","numberOfPages":"94","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1996-10-01","ipdsId":"IP-074218","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":325351,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5100/coverthb.jpg"},{"id":325352,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5100/sir20165100.pdf","text":"Report","size":"3.84 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5100"}],"country":"United States","state":"Montana","otherGeospatial":"Upper Clark Fork Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.027099609375,\n 45.706179285330855\n ],\n [\n -114.027099609375,\n 47.517200697839414\n ],\n [\n -112.225341796875,\n 47.517200697839414\n ],\n [\n -112.225341796875,\n 45.706179285330855\n ],\n [\n -114.027099609375,\n 45.706179285330855\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Ave
Helena, MT 59601
The Lower Rio Grande Valley (LRGV) of southern Texas is located on the United States-Mexico borderland and represents a 240-kilometer (150-mile) linear stretch that ends at the Gulf of Mexico. The LRGV represents a unique transition between temperate and tropical conditions and, as such, sustains an exceptionally high diversity of plants and animals—some of them found in few, or no other, places in the United States. Examples include Leopardus pardalis albescens (northern ocelot) and Falco femoralis septentrionalis (northern aplomado falcon)—both endangered in the United States and emblematic of the LRGV. The U.S. Fish and Wildlife Service (USFWS) manages three national wildlife refuges (Santa Ana, Lower Rio Grande Valley, and Laguna Atascosa) that together make up the South Texas Refuge Complex, which actively conserves biodiversity in about 76,006 hectares (187,815.5 acres) of native riparian and upland habitats in the LRGV. These diminished habitats harbor many rare, threatened, and endangered species. This report updates the widely used 1988 USFWS biological report titled “Tamaulipan Brushland of the Lower Rio Grande Valley of South Texas: Description, Human Impacts, and Management Options” by synthesizing nearly 400 peer-reviewed scientific publications that have resulted from biological and sociological research conducted specifically in the four Texas counties of the LRGV in the past nearly 30 years. This report has three goals: (1) synthesize scientific insights gained since 1988 related to the biology and management of the LRGV and its unique biota, focusing on flora and fauna of greatest conservation concern; (2) update ongoing challenges facing Federal and State agencies and organizations that focus on conservation or key natural resources in the LRGV; and (3) redefine conservation opportunities and land-acquisition strategies that are feasible and appropriate today, given the many new and expanding constraints that challenge conservation activities in the LRGV. The LRGV faces every contemporary conservation challenge of the 21st century, but ongoing human population growth and its associated demands, international border issues, and oil, gas, and alternative energy development dominate impacts that affect conservation in the LRGV. Continued careful syntheses of existing and future information collected in the LRGV are needed on many biological and sociological topics to guide conservation activities. Quick response will no doubt be necessary to face contemporary and difficult-to-predict challenges such as climate change, diminished water availability and quality, spread of invasive species, and habitat loss and fragmentation. Complexities of a guarded international borderland add pressure to small patches of native habitat that remain in many places of the LRGV, particularly along the Rio Grande. Large connected corridors of restored native habitat could be the best option to maintain, and even enhance, the exceptional biodiversity of the LRGV in the face of exceptional human demand.
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