Bioelectrical impedance analysis (BIA) is a nonlethal tool with which to estimate the physiological condition of animals that has potential value in research on endangered species. However, the effectiveness of BIA varies by species, the methodology continues to be refined, and incidental mortality rates are unknown. Under laboratory conditions we tested the value of using BIA in addition to morphological measurements such as total length and wet mass to estimate proximate composition (lipid, protein, ash, water, dry mass, energy density) in the endangered Humpback Chub Gila cypha and Bonytail G. elegans and the species of concern Roundtail Chub G. robusta and conducted separate trials to estimate the mortality rates of these sensitive species. Although Humpback and Roundtail Chub exhibited no or low mortality in response to taking BIA measurements versus handling for length and wet-mass measurements, Bonytails exhibited 14% and 47% mortality in the BIA and handling experiments, respectively, indicating that survival following stress is species specific. Derived BIA measurements were included in the best models for most proximate components; however, the added value of BIA as a predictor was marginal except in the absence of accurate wet-mass data. Bioelectrical impedance analysis improved the R2 of the best percentage-based models by no more than 4% relative to models based on morphology. Simulated field conditions indicated that BIA models became increasingly better than morphometric models at estimating proximate composition as the observation error around wet-mass measurements increased. However, since the overall proportion of variance explained by percentage-based models was low and BIA was mostly a redundant predictor, we caution against the use of BIA in field applications for these sensitive fish species.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1302993","usgsCitation":"Dibble, K.L., Yard, M.D., Ward, D.L., and Yackulic, C.B., 2017, Does bioelectrical impedance analysis accurately estimate the condition of threatened and endangered desert fish species?: Transactions of the American Fisheries Society, v. 146, no. 5, p. 888-902, https://doi.org/10.1080/00028487.2017.1302993.","productDescription":"15 p.","startPage":"888","endPage":"902","ipdsId":"IP-076886","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488591,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/dataset/Does_Bioelectrical_Impedance_Analysis_Accurately_Estimate_the_Physiological_Condition_of_Threatened_and_Endangered_Desert_Fish_Species_/5177047","text":"External Repository"},{"id":438281,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CF9NMV","text":"USGS data release","linkHelpText":"Bioelectrical impedance analysis for an endangered desert fish—Data"},{"id":343551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-05","publicationStatus":"PW","scienceBaseUri":"5965b1b8e4b0d1f9f05b379e","contributors":{"authors":[{"text":"Dibble, Kimberly L. 0000-0003-0799-4477 kdibble@usgs.gov","orcid":"https://orcid.org/0000-0003-0799-4477","contributorId":5174,"corporation":false,"usgs":true,"family":"Dibble","given":"Kimberly","email":"kdibble@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":704088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yard, Micheal D. myard@usgs.gov","contributorId":147386,"corporation":false,"usgs":true,"family":"Yard","given":"Micheal","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":704089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":704090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":704091,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192984,"text":"70192984 - 2017 - Tributary use by imperiled Flannelmouth and Bluehead Suckers in the upper Colorado River Basin","interactions":[],"lastModifiedDate":"2017-11-07T11:32:47","indexId":"70192984","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Tributary use by imperiled Flannelmouth and Bluehead Suckers in the upper Colorado River Basin","docAbstract":"Habitat alterations and establishment of nonnative fishes have reduced the distributions of Flannelmouth Sucker Catostomus latipinnis and Bluehead Sucker C. discobolus to less than 50% of their historical ranges in the Colorado River basin. Tributaries are sometimes less altered than main-stem habitat in the basin and may be important to support various life history processes, but their role in the maintenance of Flannelmouth Sucker and Bluehead Sucker populations is poorly understood. Using mark–recapture techniques, we show tributaries are important habitat for native suckers in the upper Colorado River basin and report three main findings. First, both Flannelmouth and Bluehead suckers likely respond to a thermal cue that initiates spawning movement patterns. Suckers moved into Coal Creek from the White River beginning in mid-May of 2012 and 2013 to spawn. The majority of sucker spawning movements occurred when water temperatures in White River exceeded 11–14°C and those in Coal Creek were 2.5–4°C warmer, while flows varied between years. Second, based on PIT tag detection arrays, 13–45% of suckers showed spawning site fidelity. Sampling only with fyke nets would have resulted in the conclusion that site fidelity by native suckers was only 1–17%, because nets were less efficient at detecting marked fish. Third, most suckers of both species emigrated from Coal Creek within 48 h after being captured while suckers that were detected only via arrays remained resident for 10–12 d. The posthandling flight response we observed was not anticipated and to our knowledge has not been previously reported for these species. Remote PIT tag antenna arrays allowed for a stronger inference regarding movement and tributary use by these species than what could be achieved using just fyke nets. Tributaries are an important part of Flannelmouth Sucker and Bluehead Sucker life history and thus important to conservation strategies for these species.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1312522","usgsCitation":"Fraser, G.S., Winkelman, D.L., Bestgen, K.R., and Thompson, K.G., 2017, Tributary use by imperiled Flannelmouth and Bluehead Suckers in the upper Colorado River Basin: Transactions of the American Fisheries Society, v. 146, no. 5, p. 858-871, https://doi.org/10.1080/00028487.2017.1312522.","productDescription":"13 p.","startPage":"858","endPage":"871","ipdsId":"IP-080491","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.85964965820312,\n 40.002371935876475\n ],\n [\n -107.742919921875,\n 40.002371935876475\n ],\n [\n -107.742919921875,\n 40.07281723396798\n ],\n [\n -107.85964965820312,\n 40.07281723396798\n ],\n [\n -107.85964965820312,\n 40.002371935876475\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-28","publicationStatus":"PW","scienceBaseUri":"5a07e8b8e4b09af898c8cb9f","contributors":{"authors":[{"text":"Fraser, Gregory S.","contributorId":198883,"corporation":false,"usgs":false,"family":"Fraser","given":"Gregory","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":717532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bestgen, Kevin R. 0000-0001-8691-2227","orcid":"https://orcid.org/0000-0001-8691-2227","contributorId":171573,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":717533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Kevin G.","contributorId":198884,"corporation":false,"usgs":false,"family":"Thompson","given":"Kevin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":717534,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191873,"text":"70191873 - 2017 - An “EAR” on environmental surveillance and monitoring: A case study on the use of Exposure–Activity Ratios (EARs) to prioritize sites, chemicals, and bioactivities of concern in Great Lakes waters","interactions":[],"lastModifiedDate":"2017-10-18T15:17:45","indexId":"70191873","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"An “EAR” on environmental surveillance and monitoring: A case study on the use of Exposure–Activity Ratios (EARs) to prioritize sites, chemicals, and bioactivities of concern in Great Lakes waters","docAbstract":"Current environmental monitoring approaches focus primarily on chemical occurrence. However, based on concentration alone, it can be difficult to identify which compounds may be of toxicological concern and should be prioritized for further monitoring, in-depth testing, or management. This can be problematic because toxicological characterization is lacking for many emerging contaminants. New sources of high-throughput screening (HTS) data, such as the ToxCast database, which contains information for over 9000 compounds screened through up to 1100 bioassays, are now available. Integrated analysis of chemical occurrence data with HTS data offers new opportunities to prioritize chemicals, sites, or biological effects for further investigation based on concentrations detected in the environment linked to relative potencies in pathway-based bioassays. As a case study, chemical occurrence data from a 2012 study in the Great Lakes Basin along with the ToxCast effects database were used to calculate exposure–activity ratios (EARs) as a prioritization tool. Technical considerations of data processing and use of the ToxCast database are presented and discussed. EAR prioritization identified multiple sites, biological pathways, and chemicals that warrant further investigation. Prioritized bioactivities from the EAR analysis were linked to discrete adverse outcome pathways to identify potential adverse outcomes and biomarkers for use in subsequent monitoring efforts.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.7b01613","usgsCitation":"Blackwell, B., Ankley, G., Corsi, S., DeCicco, L.A., Houck, K., Judson, R.S., Li, S., Martin, M.T., Murphy, E., Schroeder, A.L., Smith, E., Swintek, J., and Villeneuve, D.L., 2017, An “EAR” on environmental surveillance and monitoring: A case study on the use of Exposure–Activity Ratios (EARs) to prioritize sites, chemicals, and bioactivities of concern in Great Lakes waters: Environmental Science & Technology, v. 51, no. 15, p. 8713-8724, https://doi.org/10.1021/acs.est.7b01613.","productDescription":"12 p.","startPage":"8713","endPage":"8724","ipdsId":"IP-088064","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":469709,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6132252","text":"External Repository"},{"id":346899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"51","issue":"15","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-18","publicationStatus":"PW","scienceBaseUri":"59e86835e4b05fe04cd4d1f0","contributors":{"authors":[{"text":"Blackwell, Brett R.","contributorId":173601,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brett R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":713482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ankley, Gerald T.","contributorId":177970,"corporation":false,"usgs":false,"family":"Ankley","given":"Gerald T.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":713483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeCicco, Laura A. 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":174716,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houck, Kieth A.","contributorId":197428,"corporation":false,"usgs":false,"family":"Houck","given":"Kieth A.","affiliations":[],"preferred":false,"id":713485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Judson, Richard S.","contributorId":197429,"corporation":false,"usgs":false,"family":"Judson","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":713486,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Shibin","contributorId":197430,"corporation":false,"usgs":false,"family":"Li","given":"Shibin","email":"","affiliations":[],"preferred":false,"id":713487,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martin, Matthew T.","contributorId":197431,"corporation":false,"usgs":false,"family":"Martin","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":713488,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Elizabeth","contributorId":197432,"corporation":false,"usgs":false,"family":"Murphy","given":"Elizabeth","affiliations":[],"preferred":false,"id":713489,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schroeder, Anthony L.","contributorId":173596,"corporation":false,"usgs":false,"family":"Schroeder","given":"Anthony","email":"","middleInitial":"L.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false},{"id":12503,"text":"University of Minnesota - Saint Paul","active":true,"usgs":false}],"preferred":false,"id":713490,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, Edwin R.","contributorId":197434,"corporation":false,"usgs":false,"family":"Smith","given":"Edwin R.","affiliations":[],"preferred":false,"id":713491,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Swintek, Joe","contributorId":197435,"corporation":false,"usgs":false,"family":"Swintek","given":"Joe","email":"","affiliations":[],"preferred":false,"id":713492,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Villeneuve, Daniel L.","contributorId":32091,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":713493,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70193526,"text":"70193526 - 2017 - Population dynamics of brown trout (Salmo trutta) in Spruce Creek Pennsylvania: A quarter-century perspective","interactions":[],"lastModifiedDate":"2017-11-14T14:17:27","indexId":"70193526","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Population dynamics of brown trout (Salmo trutta) in Spruce Creek Pennsylvania: A quarter-century perspective","title":"Population dynamics of brown trout (Salmo trutta) in Spruce Creek Pennsylvania: A quarter-century perspective","docAbstract":"Eleven of 15 species of cranes (family: Gruidae) are considered vulnerable or endangered, and the increase of agriculture and aquaculture at the expense of natural wetlands and grasslands is a threat to Gruidae worldwide. A reintroduced population of Whooping Crane (Grus americana) was studied in coastal and agricultural wetlands of Louisiana and Texas, USA. The objectives were to compare Whooping Crane movements across seasons, quantify multiscale habitat selection, and identify seasonal shifts in selection. Whooping Cranes (n = 53) were tracked with satellite transmitters to estimate seasonal core-use areas (50% home range contours) via Brownian bridge movement models and assess habitat selection. Whooping Crane core-use areas (n = 283) ranged from 4.7 to 438.0 km2, and habitat selection changed seasonally as shallow water availability varied. Whooping Crane core-use areas were composed of more fresh marsh in spring/summer, but shifted towards rice and crawfish (Procambarus spp.) aquaculture in the fall/winter. Within core-use areas, aquaculture was most strongly selected, particularly in fall when fresh marsh became unsuitable. Overall, the shifting of Whooping Crane habitat selection over seasons is likely to require large, heterogeneous areas. Whooping Crane use of agricultural and natural wetlands may depend on spatio-temporal dynamics of water depth.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.040.0404","usgsCitation":"Pickens, B.A., King, S.L., Vasseur, P.L., Zimorski, S.E., and Selman, W., 2017, Seasonal movements and multiscale habitat selection of Whooping Crane (Grus americana) in natural and agricultural wetlands: Waterbirds, v. 40, no. 4, p. 322-333, https://doi.org/10.1675/063.040.0404.","productDescription":"12 p.","startPage":"322","endPage":"333","ipdsId":"IP-077755","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94,\n 29.625996273660785\n ],\n [\n -91.71936035156249,\n 29.625996273660785\n ],\n [\n -91.71936035156249,\n 31\n ],\n [\n -94,\n 31\n ],\n [\n -94,\n 29.625996273660785\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc40d","contributors":{"authors":[{"text":"Pickens, Bradley A.","contributorId":140926,"corporation":false,"usgs":false,"family":"Pickens","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vasseur, Phillip L.","contributorId":204493,"corporation":false,"usgs":false,"family":"Vasseur","given":"Phillip","email":"","middleInitial":"L.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":734163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimorski, Sara E.","contributorId":204494,"corporation":false,"usgs":false,"family":"Zimorski","given":"Sara","email":"","middleInitial":"E.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":734164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Selman, Will","contributorId":204495,"corporation":false,"usgs":false,"family":"Selman","given":"Will","email":"","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":734165,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193165,"text":"70193165 - 2017 - Diet composition of age-0 fishes in created habitats of the Lower Missouri River","interactions":[],"lastModifiedDate":"2017-11-20T15:50:40","indexId":"70193165","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5153,"text":"The American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Diet composition of age-0 fishes in created habitats of the Lower Missouri River","docAbstract":"Channelization of the Missouri River has greatly reduced the availability of shallow water habitats used by many larval and juvenile fishes and contributed to imperilment of floodplain-dependent biota. Creation of small side channels, or chutes, is being used to restore shallow water habitat and reverse negative environmental effects associated with channelization. In the summer of 2012, the U.S. Army Corps of Engineers collected early life stages of fishes from constructed chutes and nearby unrestored shallow habitats at six sites on the Missouri River between Rulo, Nebraska and St. Louis, Missouri. We compared the diets of two abundant species of fishes to test the hypothesis that created shallow chutes provided better foraging habitat for early life stages than nearby unrestored shallow habitats. Graphical analysis of feeding patterns of freshwater drum indicated specialization on chironomid larvae, which were consumed in greater numbers in unrestored mainstem reaches compared to chutes. Hiodon spp. were more generalist feeders with no differences in prey use between habitat types. Significantly greater numbers of individuals with empty stomachs were observed in chute shallow-water habitats, indicating poor foraging habitat. For these two species, constructed chute shallow-water habitat does not appear to provide the hypothesized benefits of higher quality foraging habitat.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-178.1.112","usgsCitation":"Starks, T.A., and Long, J.M., 2017, Diet composition of age-0 fishes in created habitats of the Lower Missouri River: The American Midland Naturalist, v. 178, no. 1, p. 112-122, https://doi.org/10.1674/0003-0031-178.1.112.","productDescription":"11 p.","startPage":"112","endPage":"122","ipdsId":"IP-069056","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.526123046875,\n 38.47509432050245\n ],\n [\n -90.0604248046875,\n 38.47509432050245\n ],\n [\n -90.0604248046875,\n 40.1452892956766\n ],\n [\n -95.526123046875,\n 40.1452892956766\n ],\n [\n -95.526123046875,\n 38.47509432050245\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"178","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb8ee4b06e28e9c23289","contributors":{"authors":[{"text":"Starks, Trevor A.","contributorId":145640,"corporation":false,"usgs":false,"family":"Starks","given":"Trevor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718113,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192632,"text":"70192632 - 2017 - Complex networks of functional connectivity in a wetland reconnected to its floodplain","interactions":[],"lastModifiedDate":"2017-11-06T12:27:36","indexId":"70192632","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Complex networks of functional connectivity in a wetland reconnected to its floodplain","docAbstract":"Disturbances such as fire or flood, in addition to changing the local magnitude of ecological, hydrological, or biogeochemical processes, can also change their functional connectivity—how those processes interact in space. Complex networks offer promise for quantifying functional connectivity in watersheds. The approach resolves connections between nodes in space based on statistical similarities in perturbation signals (derived from solute time series) and is sensitive to a wider range of timescales than traditional mass-balance modeling. We use this approach to test hypotheses about how fire and flood impact ecological and biogeochemical dynamics in a wetland (Everglades, FL, USA) that was reconnected to its floodplain. Reintroduction of flow pulses after decades of separation by levees fundamentally reconfigured functional connectivity networks. The most pronounced expansion was that of the calcium network, which reflects periphyton dynamics and may represent an indirect influence of elevated nutrients, despite the comparatively smaller observed expansion of phosphorus networks. With respect to several solutes, periphyton acted as a “biotic filter,” shifting perturbations in water-quality signals to different timescales through slow but persistent transformations of the biotic community. The complex-networks approach also revealed portions of the landscape that operate in fundamentally different regimes with respect to dissolved oxygen, separated by a threshold in flow velocity of 1.2 cm/s, and suggested that complete removal of canals may be needed to restore connectivity with respect to biogeochemical processes. Fire reconfigured functional connectivity networks in a manner that reflected localized burn severity, but had a larger effect on the magnitude of solute concentrations.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2017WR020375","usgsCitation":"Larsen, L., Newman, S., Saunders, C., and Harvey, J., 2017, Complex networks of functional connectivity in a wetland reconnected to its floodplain: Water Resources Research, v. 53, no. 7, p. 6089-6108, https://doi.org/10.1002/2017WR020375.","productDescription":"10 p.","startPage":"6089","endPage":"6108","ipdsId":"IP-086967","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020375","text":"Publisher Index Page"},{"id":348265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","volume":"53","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-28","publicationStatus":"PW","scienceBaseUri":"5a07e8b9e4b09af898c8cba7","contributors":{"authors":[{"text":"Larsen, Laurel G.","contributorId":191391,"corporation":false,"usgs":false,"family":"Larsen","given":"Laurel G.","affiliations":[],"preferred":false,"id":716602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newman, Susan","contributorId":15308,"corporation":false,"usgs":true,"family":"Newman","given":"Susan","email":"","affiliations":[],"preferred":false,"id":716603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saunders, Colin","contributorId":73913,"corporation":false,"usgs":true,"family":"Saunders","given":"Colin","email":"","affiliations":[],"preferred":false,"id":716604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":716601,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189706,"text":"70189706 - 2017 - Land before water: The relative temporal sequence of human alteration of freshwater ecosystems in the conterminous United States","interactions":[],"lastModifiedDate":"2025-01-29T15:51:33.601712","indexId":"70189706","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":815,"text":"Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Land before water: The relative temporal sequence of human alteration of freshwater ecosystems in the conterminous United States","docAbstract":"Human alteration of ecosystems prior to Euro-American contact in the area that became the\nconterminous United States disproportionately affected terrestrial systems compared to freshwater\necosystems, primarily through the use of\nfire and agriculture in some regions of the United States. After\ncirca 1600 AD, trapping of beaver, along with intensive modification of rivers and wetlands for navigation,\nmining,\nflood control, power generation, and agriculture, substantially altered river corridors throughout\nthe country. River corridor here refers to channels of all sizes, from headwater streams to very large rivers,\nand includes\nfloodplains and wetlands associated with channels. Literature suggests that ecosystem\nalteration by humans prior to and during Euro-American settlement changed from predominantly\nterrestrial to both terrestrial and freshwater in a manner that was time-transgressive with Euro-\nAmerican colonization and U.S. settlement between the 17th and 19th centuries. The extent and intensity\nof post-Euro-American alteration of freshwater environments in the United States has resulted in\nwidespread river metamorphosis toward more geomorphically and ecologically homogenous systems.\nRecognition of the rapidity and ubiquity of this alteration, and the consequent instability of many\ncontemporary river corridors, should underpin contemporary river management","language":"English","publisher":"Elsevier","doi":"10.1016/j.ancene.2017.05.004","usgsCitation":"Wohl, E., Lininger, K.B., and Baron, J., 2017, Land before water: The relative temporal sequence of human alteration of freshwater ecosystems in the conterminous United States: Anthropocene, v. 18, p. 27-46, https://doi.org/10.1016/j.ancene.2017.05.004.","productDescription":"20 p.","startPage":"27","endPage":"46","ipdsId":"IP-086054","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":357276,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70189706/70189706.pdf","text":"USGS open-access version of article","linkFileType":{"id":1,"text":"pdf"}},{"id":344151,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.867044,36.550754],[-75.536428,35.780118],[-75.723662,36.003139],[-75.85147,36.415785],[-76.019261,36.503506],[-75.793974,36.07171],[-75.922344,36.244122],[-75.904999,36.164188],[-76.184702,36.298166],[-76.064224,36.143775],[-76.447812,36.192514],[-76.298733,36.1012],[-76.514335,36.00564],[-76.676484,36.043612],[-76.693253,36.278357],[-76.7521,36.147328],[-76.667547,35.933509],[-76.024162,35.970891],[-76.04015,35.65131],[-75.947293,35.959835],[-75.80935,35.959308],[-75.71294,35.69849],[-75.775328,35.579335],[-75.895045,35.573152],[-76.149655,35.326411],[-76.485762,35.371375],[-76.586349,35.508957],[-76.471207,35.55742],[-76.634468,35.510332],[-76.580187,35.387113],[-77.023912,35.514802],[-76.467776,35.276951],[-76.60042,35.067867],[-76.801426,34.964369],[-76.982904,35.060607],[-76.762931,34.920374],[-76.463468,35.076411],[-76.395625,34.975179],[-76.288354,35.005726],[-76.524712,34.681964],[-76.604796,34.787482],[-76.673619,34.71491],[-76.523303,34.652271],[-76.038648,35.065045],[-76.535946,34.588577],[-76.726969,34.69669],[-77.169701,34.622023],[-77.740136,34.272546],[-77.970606,33.844517],[-78.276147,33.912364],[-78.772737,33.768511],[-79.084588,33.483669],[-79.18787,33.173712],[-79.359961,33.006672],[-79.55756,33.021269],[-79.576006,32.906235],[-79.999374,32.611851],[-80.472068,32.496964],[-80.455192,32.326458],[-80.858735,32.099581],[-80.862814,31.969346],[-81.203572,31.719448],[-81.133493,31.623348],[-81.260076,31.54828],[-81.177254,31.517074],[-81.288403,31.211065],[-81.493651,30.977528],[-81.403409,30.957914],[-81.447087,30.503679],[-81.163581,29.55529],[-80.525094,28.459454],[-80.606874,28.336484],[-80.566432,28.09563],[-80.031362,26.796339],[-80.127987,25.772245],[-80.154972,25.66549],[-80.197674,25.74437],[-80.296719,25.622195],[-80.31036,25.3731],[-80.418872,25.235532],[-81.079859,25.118797],[-81.352731,25.822015],[-81.527665,25.901531],[-81.68954,25.85271],[-81.868983,26.378648],[-82.105672,26.48393],[-82.181565,26.681712],[-82.093023,26.665614],[-82.063126,26.950214],[-82.175241,26.916867],[-82.147068,26.789803],[-82.259867,26.717398],[-82.745748,27.538834],[-82.65072,27.523115],[-82.393383,27.837519],[-82.478063,27.92768],[-82.47244,27.822559],[-82.553946,27.848462],[-82.553918,27.966998],[-82.678606,27.993715],[-82.720395,27.937199],[-82.566819,27.858002],[-82.733076,27.612972],[-82.846526,27.854301],[-82.654138,28.590837],[-82.804736,29.146624],[-83.053207,29.130839],[-83.686423,29.923735],[-84.000716,30.096209],[-84.256439,30.103791],[-84.358923,30.058224],[-84.349066,29.896812],[-85.344768,29.654793],[-85.413575,29.85294],[-85.353885,29.684765],[-85.302591,29.808094],[-85.405052,29.938487],[-86.2987,30.363049],[-86.750906,30.391881],[-88.028401,30.221132],[-87.755263,30.277292],[-88.008396,30.684956],[-88.136173,30.320729],[-88.841328,30.409598],[-89.291444,30.303296],[-89.335942,30.374016],[-89.461275,30.174745],[-89.857558,30.004439],[-89.660568,29.862909],[-89.481926,30.079128],[-89.372375,30.054729],[-89.433411,29.991205],[-89.368019,29.911491],[-89.218071,29.97275],[-89.322289,29.887333],[-89.236298,29.877081],[-89.383789,29.838928],[-89.271034,29.756355],[-89.651237,29.749479],[-89.485367,29.624357],[-89.688141,29.615055],[-89.700501,29.515967],[-89.508551,29.386168],[-89.189354,29.345061],[-89.000674,29.180091],[-89.41148,28.925011],[-89.354798,29.072543],[-89.482844,29.215053],[-89.850305,29.311768],[-89.849642,29.477996],[-90.01251,29.462775],[-90.009678,29.294785],[-90.096038,29.240673],[-89.949925,29.263154],[-90.174273,29.105301],[-90.348768,29.057817],[-90.234235,29.110268],[-90.271251,29.204639],[-90.332796,29.276956],[-90.472489,29.192688],[-90.510555,29.290925],[-90.803699,29.063709],[-90.637495,29.066608],[-90.839345,29.039167],[-90.961278,29.180817],[-91.278792,29.247776],[-91.33275,29.305816],[-91.221166,29.436421],[-91.531021,29.531543],[-91.553537,29.632766],[-91.648941,29.633635],[-91.632829,29.742576],[-91.88075,29.710839],[-91.889118,29.836023],[-92.149349,29.697052],[-91.712002,29.56474],[-91.782387,29.482882],[-92.046316,29.584362],[-92.61627,29.578729],[-93.267456,29.778113],[-94.056506,29.671163],[-94.778691,29.361483],[-94.495025,29.525031],[-94.779674,29.530533],[-94.735271,29.785433],[-94.893107,29.661336],[-94.965963,29.70033],[-95.018253,29.554885],[-94.909898,29.49691],[-94.893994,29.30817],[-95.16525,29.113566],[-94.72253,29.331446],[-95.38239,28.866348],[-96.378616,28.383909],[-95.978526,28.650594],[-96.228909,28.580873],[-96.222802,28.698431],[-96.487943,28.569677],[-96.648758,28.709627],[-96.403973,28.44245],[-96.672677,28.335579],[-96.775985,28.405809],[-96.800413,28.224128],[-96.934765,28.123873],[-97.037008,28.185528],[-97.214039,28.087494],[-97.022806,28.107588],[-97.186709,27.825453],[-97.379042,27.837867],[-97.253955,27.696696],[-97.401942,27.335574],[-97.532223,27.278577],[-97.501688,27.366618],[-97.639094,27.253131],[-97.42408,27.264073],[-97.563266,26.842188],[-97.295072,26.108342],[-97.216954,25.993838],[-97.152009,26.062108],[-97.145567,25.971132],[-97.422636,25.840378],[-97.649176,26.021499],[-98.197046,26.056153],[-98.807348,26.369421],[-99.085126,26.398782],[-99.268613,26.843213],[-99.446524,27.023008],[-99.512219,27.568094],[-99.841708,27.766464],[-99.931812,27.980967],[-100.293468,28.278475],[-100.333814,28.499252],[-100.797671,29.246943],[-101.254895,29.520342],[-101.415402,29.756561],[-102.315389,29.87992],[-102.386678,29.76688],[-102.670971,29.741954],[-102.866846,29.225015],[-103.115328,28.98527],[-103.28119,28.982138],[-104.507568,29.639624],[-104.924796,30.604832],[-106.207837,31.468188],[-106.451541,31.764808],[-108.208394,31.783599],[-108.208573,31.333395],[-111.074825,31.332239],[-114.813613,32.494277],[-114.719633,32.718763],[-117.124862,32.534156],[-117.469794,33.296417],[-118.132698,33.753217],[-118.411211,33.741985],[-118.519514,34.027509],[-119.130169,34.100102],[-119.559459,34.413395],[-120.471376,34.447846],[-120.637805,34.56622],[-120.644311,35.139616],[-120.856047,35.206487],[-120.884757,35.430196],[-121.284973,35.674109],[-121.503112,36.000299],[-121.888491,36.30281],[-121.978592,36.580488],[-121.814462,36.682858],[-121.862266,36.931552],[-122.105976,36.955951],[-122.405073,37.195791],[-122.514483,37.780829],[-122.398139,37.80563],[-122.378545,37.605592],[-122.111344,37.50758],[-122.430087,37.963115],[-122.273006,38.07438],[-122.489974,38.112014],[-122.438268,37.880974],[-122.505383,37.822128],[-122.882114,38.025273],[-123.024066,37.994878],[-122.977082,38.267902],[-123.725367,38.917438],[-123.851714,39.832041],[-124.363414,40.260974],[-124.408601,40.443201],[-124.137066,40.925732],[-124.063076,41.439579],[-124.147412,41.717955],[-124.255994,41.783014],[-124.214213,42.005939],[-124.410982,42.250547],[-124.401177,42.627192],[-124.552441,42.840568],[-124.233534,43.55713],[-124.067569,44.428582],[-123.927891,46.009564],[-124.024305,46.229256],[-123.854801,46.157342],[-123.547636,46.265595],[-124.080671,46.267239],[-124.068655,46.634879],[-124.026032,46.462978],[-123.943667,46.477197],[-123.960642,46.636364],[-123.84621,46.716795],[-124.092176,46.741624],[-124.138225,46.905534],[-123.86018,46.948556],[-124.122057,47.04165],[-124.180111,46.926357],[-124.425195,47.738434],[-124.672427,47.964414],[-124.733174,48.163393],[-124.65894,48.331057],[-124.731828,48.381157],[-123.981032,48.164761],[-123.332699,48.11297],[-123.133445,48.177276],[-122.877641,48.047025],[-122.833173,48.134406],[-122.760448,48.14324],[-122.766648,48.04429],[-122.68724,48.101662],[-122.718082,47.987739],[-122.610341,47.887343],[-122.811929,47.679861],[-122.820178,47.835904],[-123.15598,47.355745],[-122.549072,47.919072],[-122.470333,47.757109],[-122.554454,47.745704],[-122.479089,47.583654],[-122.547521,47.285344],[-122.611464,47.2181],[-122.697378,47.283969],[-122.632463,47.376394],[-122.725738,47.33047],[-122.641802,47.205013],[-122.711997,47.127681],[-122.832799,47.243412],[-122.803688,47.355071],[-122.863732,47.270221],[-122.858735,47.167955],[-122.67813,47.103866],[-122.547747,47.316403],[-122.4442,47.266723],[-122.324833,47.348521],[-122.421139,47.57602],[-122.339513,47.599113],[-122.429841,47.658919],[-122.224979,48.016626],[-122.395499,48.228551],[-122.479008,48.175703],[-122.358375,48.056133],[-122.512031,48.133931],[-122.530996,48.249821],[-122.371693,48.287839],[-122.712322,48.464143],[-122.471832,48.470724],[-122.534719,48.574246],[-122.425271,48.599522],[-122.535803,48.776128],[-122.673472,48.733082],[-122.821631,48.941369],[-122.75802,49.002357],[-95.153711,48.998903],[-95.15335,49.383079],[-94.957465,49.370186],[-94.816222,49.320987],[-94.645083,48.744143],[-93.840754,48.628548],[-93.794454,48.516021],[-92.954876,48.631493],[-92.634931,48.542873],[-92.712562,48.463013],[-92.456325,48.414204],[-92.369174,48.220268],[-92.26228,48.354933],[-92.055228,48.359213],[-91.567254,48.043719],[-90.88548,48.245784],[-90.751608,48.090968],[-89.489226,48.014528],[-90.86827,47.5569],[-92.094089,46.787839],[-91.961889,46.682539],[-90.855874,46.962232],[-90.750952,46.890293],[-90.951476,46.597033],[-90.73726,46.692267],[-90.436512,46.561748],[-88.972802,47.002096],[-88.418841,47.371058],[-87.929672,47.478743],[-87.710471,47.4062],[-87.957058,47.38726],[-88.227552,47.199938],[-88.443901,46.972251],[-88.462349,46.786711],[-88.142807,46.966302],[-88.175197,46.90458],[-87.681561,46.842392],[-87.352448,46.501324],[-87.008724,46.532723],[-86.850111,46.434114],[-86.698139,46.438624],[-86.678182,46.561039],[-86.586168,46.463324],[-86.161681,46.669475],[-84.989497,46.772403],[-85.015211,46.479712],[-84.551496,46.418522],[-84.128925,46.530119],[-84.097766,46.256512],[-84.251424,46.175888],[-83.873147,45.993426],[-83.765277,46.018363],[-83.815826,46.108529],[-83.581315,46.089613],[-83.510623,45.929324],[-84.376429,45.931962],[-84.656567,46.052654],[-84.746985,45.835597],[-85.01399,46.010774],[-85.499422,46.09692],[-85.697203,45.960158],[-86.278007,45.942057],[-86.616893,45.606796],[-86.718191,45.67732],[-86.541464,45.890234],[-86.78208,45.860195],[-86.964275,45.672761],[-87.031435,45.837238],[-87.600796,45.146842],[-87.630298,44.976865],[-87.837647,44.933091],[-88.005518,44.539216],[-87.756048,44.649117],[-87.609784,44.838514],[-87.384821,44.865532],[-87.238426,45.166492],[-86.970355,45.278455],[-87.467089,44.553557],[-87.512903,44.192808],[-87.735436,43.882219],[-87.702685,43.687596],[-87.911787,43.250406],[-87.766675,42.784896],[-87.828569,42.269922],[-87.42344,41.642835],[-87.066033,41.661845],[-86.616978,41.896625],[-86.297168,42.358207],[-86.208654,42.69209],[-86.254646,43.083409],[-86.540916,43.633158],[-86.43114,43.815569],[-86.514704,44.057672],[-86.26871,44.345324],[-86.254996,44.691935],[-85.551072,45.210742],[-85.652355,44.849092],[-85.593833,44.768651],[-85.475204,44.991053],[-85.576566,44.760208],[-85.3958,44.931018],[-85.371593,45.270834],[-84.91585,45.393115],[-85.115479,45.539406],[-84.942636,45.714292],[-85.014509,45.760329],[-84.726192,45.786905],[-84.215268,45.634767],[-84.095905,45.497298],[-83.488826,45.355872],[-83.265896,45.026844],[-83.454168,45.03188],[-83.274747,44.714893],[-83.332533,44.340464],[-83.53771,44.248171],[-83.58409,44.056748],[-83.877047,43.959351],[-83.909479,43.672622],[-83.666052,43.591292],[-83.26153,43.973525],[-82.967439,44.066138],[-82.746255,43.996037],[-82.643166,43.852468],[-82.412965,42.977041],[-82.518782,42.613888],[-82.686417,42.518597],[-82.630851,42.673341],[-82.813518,42.640833],[-82.894013,42.389437],[-83.096521,42.290138],[-83.133511,42.088143],[-83.455626,41.727445],[-82.934369,41.514353],[-82.834101,41.587587],[-82.499099,41.381541],[-82.011966,41.515639],[-81.738755,41.48855],[-81.288892,41.758945],[-80.329976,42.036168],[-79.148723,42.553672],[-78.851355,42.791758],[-79.074467,43.077855],[-79.070469,43.262454],[-78.370221,43.376505],[-77.760231,43.341161],[-77.551022,43.235763],[-76.958402,43.270005],[-76.235834,43.529256],[-76.28272,43.858601],[-76.125023,43.912773],[-76.360306,44.070907],[-76.312647,44.199044],[-74.992756,44.977449],[-71.502487,45.013367],[-71.443882,45.235462],[-71.296509,45.29919],[-71.13943,45.242958],[-71.01081,45.34725],[-70.857042,45.22916],[-70.795009,45.428145],[-70.634661,45.383608],[-70.688214,45.563981],[-70.259117,45.890755],[-70.292736,46.191599],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.043947,47.427634],[-69.050334,47.256621],[-68.902425,47.178839],[-68.329879,47.36023],[-67.955669,47.199542],[-67.789461,47.062544],[-67.750422,45.917898],[-67.817892,45.693705],[-67.429716,45.583773],[-67.489464,45.282653],[-67.345585,45.126392],[-67.157919,45.161004],[-66.950569,44.814539],[-67.293403,44.599265],[-67.308538,44.707454],[-67.405492,44.594236],[-67.551133,44.621938],[-67.568159,44.531117],[-67.839896,44.558771],[-67.855108,44.419434],[-68.049334,44.33073],[-68.117746,44.475038],[-68.261708,44.484062],[-68.173608,44.328397],[-68.317588,44.225101],[-68.430946,44.298624],[-68.3791,44.430049],[-68.565161,44.39907],[-68.525302,44.227554],[-68.827197,44.31216],[-68.783679,44.473879],[-68.927452,44.448039],[-69.100863,44.104529],[-69.031878,44.079036],[-69.214205,43.935583],[-69.398455,43.971804],[-69.838689,43.70514],[-69.884066,43.778035],[-70.041351,43.738053],[-70.009869,43.859315],[-70.190014,43.771866],[-70.196911,43.565146],[-70.361214,43.52919],[-70.810069,42.909549],[-70.778671,42.693622],[-70.594014,42.63503],[-70.871382,42.546404],[-71.01568,42.326019],[-70.722269,42.207959],[-70.63848,42.081579],[-70.710034,41.999544],[-70.552941,41.929641],[-70.471552,41.761563],[-70.024734,41.787364],[-70.095595,42.032832],[-70.245385,42.063733],[-70.058531,42.040363],[-69.935952,41.809422],[-69.998071,41.54365],[-70.007011,41.671579],[-70.351634,41.634687],[-70.948431,41.409193],[-70.658659,41.543385],[-70.623652,41.707398],[-70.718739,41.73574],[-71.19302,41.457931],[-71.240709,41.619225],[-71.24071,41.474872],[-71.337695,41.448902],[-71.19564,41.67509],[-71.350057,41.727835],[-71.449318,41.687401],[-71.483295,41.371722],[-72.916827,41.282033],[-73.643478,41.002171],[-73.781369,40.794907],[-73.485365,40.946397],[-72.585327,40.997587],[-72.278789,41.158722],[-72.317238,41.088659],[-72.10216,40.991509],[-71.856214,41.070598],[-73.23914,40.6251],[-73.934512,40.545175],[-74.024543,40.709436],[-74.186027,40.646076],[-74.261889,40.464706],[-73.978282,40.440208],[-74.096906,39.76303],[-74.864458,38.94041],[-74.971995,38.94037],[-74.887167,39.158825],[-75.136548,39.179425],[-75.536431,39.460559],[-75.509342,39.685313],[-75.587147,39.651012],[-75.402035,39.066885],[-75.089473,38.797198],[-75.048939,38.451263],[-75.195382,38.093582],[-75.514921,37.799149],[-75.906734,37.114193],[-76.018645,37.31782],[-75.663095,37.961195],[-75.892686,37.916848],[-75.812913,38.058932],[-75.843862,38.144599],[-75.958786,38.135572],[-75.848473,38.20934],[-75.970514,38.233668],[-75.973876,38.36585],[-76.032044,38.216684],[-76.258189,38.318373],[-76.33636,38.492235],[-76.147158,38.63684],[-76.238685,38.735434],[-76.347998,38.686234],[-76.271575,38.851771],[-76.19343,38.821787],[-76.203638,38.928382],[-76.376031,38.848777],[-76.311766,39.035257],[-76.164004,38.99953],[-76.145174,39.092824],[-76.231765,39.018518],[-76.274741,39.164961],[-76.170588,39.331954],[-76.002408,39.367501],[-75.970337,39.557637],[-76.096072,39.536912],[-76.060988,39.447775],[-76.281374,39.304531],[-76.341443,39.354217],[-76.425281,39.205708],[-76.535885,39.211008],[-76.394358,39.01216],[-76.557535,38.744687],[-76.321499,38.03805],[-76.920778,38.291529],[-77.016371,38.445572],[-77.250172,38.382781],[-77.263599,38.512344],[-77.12634,38.6177],[-77.246704,38.635217],[-77.279633,38.339444],[-77.043526,38.400548],[-76.962311,38.214075],[-76.613939,38.148587],[-76.236725,37.889174],[-76.339892,37.655966],[-76.28037,37.613715],[-76.36232,37.610368],[-76.784618,37.869569],[-76.542666,37.616857],[-76.300144,37.561734],[-76.360474,37.51924],[-76.265056,37.481365],[-76.275552,37.309964],[-76.415167,37.402133],[-76.349489,37.273963],[-76.50364,37.233856],[-76.292344,37.126615],[-76.304272,37.001378],[-76.428869,36.969947],[-76.649869,37.220914],[-76.802511,37.198308],[-76.685614,37.198851],[-76.662558,37.045748],[-76.469914,36.882898],[-76.297663,36.968147],[-75.996252,36.922047],[-75.867044,36.550754]],[[-77.038598,38.791513],[-76.910795,38.891712],[-77.040999,38.99511],[-77.1199,38.934311],[-77.038598,38.791513]]],[[[-88.124658,30.28364],[-88.075856,30.246139],[-88.313323,30.230024],[-88.124658,30.28364]]],[[[-120.248484,33.999329],[-120.043259,34.035806],[-119.97026,33.944359],[-120.121817,33.895712],[-120.248484,33.999329]]],[[[-119.789798,34.05726],[-119.52064,34.034262],[-119.758141,33.959212],[-119.923337,34.069361],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.605534,33.030999],[-118.353504,32.821962],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.305084,33.310323],[-118.465368,33.326056],[-118.60403,33.47654],[-118.500212,33.449592]]],[[[-81.582923,24.658732],[-81.425483,24.752989],[-81.298028,24.656774],[-81.81289,24.546468],[-81.582923,24.658732]]],[[[-84.777208,29.707398],[-84.696726,29.76993],[-85.097082,29.625215],[-84.777208,29.707398]]],[[[-85.156415,29.679628],[-85.077237,29.670862],[-85.222546,29.678039],[-85.156415,29.679628]]],[[[-82.255777,26.703437],[-82.166042,26.489679],[-82.013913,26.452058],[-82.177017,26.471558],[-82.255777,26.703437]]],[[[-80.250581,25.34193],[-80.659395,24.897433],[-80.174544,25.518406],[-80.250581,25.34193]]],[[[-88.865067,29.752714],[-88.944435,29.658806],[-88.8312,29.878839],[-88.881454,30.053202],[-88.865067,29.752714]]],[[[-70.59628,41.471905],[-70.451084,41.348161],[-70.838777,41.347209],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-70.049053,41.391702],[-69.960181,41.264546],[-70.275526,41.310464],[-70.092142,41.297741]]],[[[-68.453236,44.189998],[-68.384903,44.154955],[-68.502096,44.152388],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.605906,44.230772],[-68.675056,44.137131],[-68.680773,44.279242]]],[[[-68.785601,44.053503],[-68.944597,44.11284],[-68.825067,44.186338],[-68.785601,44.053503]]],[[[-68.942826,44.281073],[-68.868444,44.38144],[-68.95189,44.218719],[-68.942826,44.281073]]],[[[-88.684434,48.115785],[-88.418244,48.18037],[-88.968903,47.901675],[-88.899698,47.902445],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-84.612845,45.834528],[-84.35602,45.771895],[-84.484128,45.73071],[-84.612845,45.834528]]],[[[-85.566441,45.760222],[-85.487026,45.621211],[-85.561634,45.572213],[-85.630016,45.598166],[-85.566441,45.760222]]],[[[-88.710719,30.250799],[-88.562067,30.227476],[-88.771991,30.245523],[-88.710719,30.250799]]],[[[-75.753765,35.199612],[-75.529393,35.288272],[-75.533512,35.773577],[-75.458659,35.596597],[-75.52592,35.233839],[-76.013145,35.061855],[-75.753765,35.199612]]],[[[-74.144428,40.53516],[-74.254588,40.502303],[-74.1894,40.642121],[-74.075884,40.648101],[-74.144428,40.53516]]],[[[-97.240849,26.411504],[-97.387459,26.820789],[-97.361796,27.359988],[-96.879424,28.131402],[-96.403206,28.371475],[-96.966996,27.950531],[-97.30447,27.407734],[-97.370731,26.909706],[-97.154271,26.066841],[-97.240849,26.411504]]],[[[-122.519535,48.288314],[-122.668385,48.223967],[-122.54512,48.05255],[-122.376259,48.034457],[-122.380497,47.904023],[-122.770045,48.224395],[-122.664659,48.401508],[-122.519535,48.288314]]],[[[-122.474684,47.511068],[-122.373628,47.388718],[-122.51885,47.33332],[-122.474684,47.511068]]],[[[-122.800217,48.60169],[-122.803521,48.428748],[-122.874135,48.418196],[-123.203026,48.596178],[-122.987296,48.561895],[-123.048652,48.621002],[-122.894599,48.71503],[-122.743049,48.661991],[-122.800217,48.60169]]],[[[-90.572383,46.958835],[-90.508157,46.956836],[-90.654796,46.919249],[-90.572383,46.958835]]],[[[-90.757147,47.03372],[-90.544875,47.017383],[-90.671581,46.948973],[-90.757147,47.03372]]],[[[-86.880572,45.331467],[-86.943041,45.41525],[-86.810055,45.422619],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA \"}}]}","volume":"18","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5971c1c1e4b0ec1a4885dabc","contributors":{"authors":[{"text":"Wohl, Ellen 0000-0001-7435-5013","orcid":"https://orcid.org/0000-0001-7435-5013","contributorId":194945,"corporation":false,"usgs":false,"family":"Wohl","given":"Ellen","affiliations":[],"preferred":false,"id":705879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lininger, Katherine B. 0000-0003-0378-9505","orcid":"https://orcid.org/0000-0003-0378-9505","contributorId":194946,"corporation":false,"usgs":false,"family":"Lininger","given":"Katherine","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":705880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":705878,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189122,"text":"70189122 - 2017 - How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?","interactions":[],"lastModifiedDate":"2017-06-30T12:08:19","indexId":"70189122","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?","docAbstract":"Suspended sediment concentration is an important estuarine health indicator. Estuarine ecosystems rely on the maintenance of habitat conditions, which are changing due to direct human impact and climate change. This study aims to evaluate the impact of climate change relative to engineering measures on estuarine fine sediment dynamics and sediment budgets. We use the highly engineered San Francisco Bay-Delta system as a case study. We apply a process-based modeling approach (Delft3D-FM) to assess the changes in hydrodynamics and sediment dynamics resulting from climate change and engineering scenarios. The scenarios consider a direct human impact (shift in water pumping location), climate change (sea level rise and suspended sediment concentration decrease), and abrupt disasters (island flooding, possibly as the results of an earthquake). Levee failure has the largest impact on the hydrodynamics of the system. Reduction in sediment input from the watershed has the greatest impact on turbidity levels, which are key to primary production and define habitat conditions for endemic species. Sea level rise leads to more sediment suspension and a net sediment export if little room for accommodation is left in the system due to continuous engineering works. Mitigation measures like levee reinforcement are effective for addressing direct human impacts, but less effective for a persistent, widespread, and increasing threat like sea level rise. Progressive adaptive mitigation measures to the changes in sediment and flow dynamics resulting from sea level rise may be a more effective strategy. Our approach shows that a validated process-based model is a useful tool to address long-term (decades to centuries) changes in sediment dynamics in highly engineered estuarine systems. In addition, our modeling approach provides a useful basis for long-term, process-based studies addressing ecosystem dynamics and health.
","language":"English","publisher":"Springer","doi":"10.1007/s10584-017-1954-8","usgsCitation":"Achete, F., Van der Wegen, M., Roelvink, J.A., and Jaffe, B.E., 2017, How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?: Climatic Change, v. 142, p. 375-389, https://doi.org/10.1007/s10584-017-1954-8.","productDescription":"15 p.","startPage":"375","endPage":"389","ipdsId":"IP-081766","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-017-1954-8","text":"Publisher Index Page"},{"id":343222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay-Delta system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.3709716796875,\n 37.26968150969715\n ],\n [\n -120.6243896484375,\n 37.26968150969715\n ],\n [\n -120.6243896484375,\n 39.39799959542146\n ],\n [\n -123.3709716796875,\n 39.39799959542146\n ],\n [\n -123.3709716796875,\n 37.26968150969715\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"142","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"59576333e4b0d1f9f051b4f9","contributors":{"authors":[{"text":"Achete, Fernanda","contributorId":174686,"corporation":false,"usgs":false,"family":"Achete","given":"Fernanda","email":"","affiliations":[{"id":27497,"text":"UNESCO-IHE, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":703061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":703062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelvink, Jan Adriaan","contributorId":194052,"corporation":false,"usgs":false,"family":"Roelvink","given":"Jan","email":"","middleInitial":"Adriaan","affiliations":[],"preferred":false,"id":703063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":703060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189057,"text":"70189057 - 2017 - Response of deep groundwater to land use change in desert basins of the Trans-Pecos region, Texas, USA: Effects on infiltration, recharge, and nitrogen fluxes","interactions":[],"lastModifiedDate":"2025-01-29T15:48:32.30352","indexId":"70189057","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Response of deep groundwater to land use change in desert basins of the Trans-Pecos region, Texas, USA: Effects on infiltration, recharge, and nitrogen fluxes","docAbstract":"Quantifying the effects of anthropogenic processes on groundwater in arid regions can be complicated by thick unsaturated zones with long transit times. Human activities can alter water and nutrient fluxes, but their impact on groundwater is not always clear. This study of basins in the Trans-Pecos region of Texas links anthropogenic land use and vegetation change with alterations to unsaturated zone fluxes and regional increases in basin groundwater NO3−concentrations. Median increases in groundwater NO3− (by 0.7–0.9 mg-N/l over periods ranging from 10 to 50+ years) occurred despite low precipitation (220–360 mm/year), high potential evapotranspiration (~1570 mm/year), and thick unsaturated zones (10–150+ m). Recent model simulations indicate net infiltration and groundwater recharge can occur beneath Trans-Pecos basin floors, and may have increased due to irrigation and vegetation change. These processes were investigated further with chemical and isotopic data from groundwater and unsaturated zone cores. Some unsaturated zone solute profiles indicate flushing of natural salt accumulations has occurred. Results are consistent with human-influenced flushing of naturally accumulated unsaturated zone nitrogen as an important source of NO3− to the groundwater. Regional mass balance calculations indicate the mass of natural unsaturated zone NO3− (122–910 kg-N/ha) was sufficient to cause the observed groundwater NO3− increases, especially if augmented locally with the addition of fertilizer N. Groundwater NO3− trends can be explained by small volumes of high NO3− modern recharge mixed with larger volumes of older groundwater in wells. This study illustrates the importance of combining long-term monitoring and targeted process studies to improve understanding of human impacts on recharge and nutrient cycling in arid regions, which are vulnerable to the effects of climate change and increasing human reliance on dryland ecosystems.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11178","usgsCitation":"Robertson, W.M., Bohlke, J., and Sharp, J.M., 2017, Response of deep groundwater to land use change in desert basins of the Trans-Pecos region, Texas, USA: Effects on infiltration, recharge, and nitrogen fluxes: Hydrological Processes, v. 31, no. 13, p. 2349-2364, https://doi.org/10.1002/hyp.11178.","productDescription":"16 p.","startPage":"2349","endPage":"2364","ipdsId":"IP-079579","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":343208,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357279,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70189057/70189057.pdf","text":"USGS open-access version of article","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Texas","otherGeospatial":"Trans-Pecos region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.5,\n 30.1\n ],\n [\n -104.05,\n 30.1\n ],\n [\n -104.05,\n 31.4\n ],\n [\n -105.5,\n 31.4\n ],\n [\n -105.5,\n 30.1\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"13","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-11","publicationStatus":"PW","scienceBaseUri":"59576334e4b0d1f9f051b504","contributors":{"authors":[{"text":"Robertson, Wendy Marie","contributorId":193940,"corporation":false,"usgs":false,"family":"Robertson","given":"Wendy","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":702677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":702676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharp, John M.","contributorId":149229,"corporation":false,"usgs":false,"family":"Sharp","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":702678,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188652,"text":"fs20173051 - 2017 - The U.S. Geological Survey Flagstaff Science Campus—Providing expertise on planetary science, ecology, water resources, geologic processes, and human interactions with the Earth","interactions":[],"lastModifiedDate":"2017-06-29T15:06:23","indexId":"fs20173051","displayToPublicDate":"2017-06-29T00:00:00","publicationYear":"2017","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":"2017-3051","title":"The U.S. Geological Survey Flagstaff Science Campus—Providing expertise on planetary science, ecology, water resources, geologic processes, and human interactions with the Earth","docAbstract":"The U.S. Geological Survey’s Flagstaff Science Campus is focused on interdisciplinary study of the Earth and solar system, and has the scientific expertise to detect early environmental changes and provide strategies to minimize possible adverse effects on humanity. The Flagstaff Science Campus (FSC) is located in Flagstaff, Arizona, which is situated in the northern part of the State, home to a wide variety of landscapes and natural resources, including (1) young volcanoes in the San Francisco Volcanic Field, (2) the seven ecological life zones of the San Francisco Peaks, (3) the extensive geologic record of the Colorado Plateau and Grand Canyon, (4) the Colorado River and its perennial, ephemeral, and intermittent tributaries, and (5) a multitude of canyons, mountains, arroyos, and plains. More than 200 scientists, technicians, and support staff provide research, monitoring, and technical advancements in planetary geology and mapping, biology and ecology, Earth-based geology, hydrology, and changing climate and landscapes. Scientists at the FSC work in collaboration with multiple State, Federal, Tribal, municipal, and academic partners to address regional, national, and global environmental issues, and provide scientific outreach to the general public.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173051","usgsCitation":"Hart, R.J., Vaughan, R.G., McDougall, K., Wojtowicz, T., and Thenkenbail, P., 2017, The U.S. Geological Survey Flagstaff Science Campus—Providing expertise on planetary science, ecology, water resources, geologic processes, and human interactions with the Earth: U.S. Geological Survey Fact Sheet 2017–3051, 2 p., https://doi.org/10.3133/fs20173051.","productDescription":"2 p.","ipdsId":"IP-086978","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":343101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3051/coverthb.jpg"},{"id":343102,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3051/fs20173051.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3051"}],"country":"United States","state":"Arizona","city":"Flagstaff","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.73027038574219,\n 35.139282901732635\n ],\n [\n -111.53594970703125,\n 35.139282901732635\n ],\n [\n -111.53594970703125,\n 35.27084997704059\n ],\n [\n -111.73027038574219,\n 35.27084997704059\n ],\n [\n -111.73027038574219,\n 35.139282901732635\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"U.S. Geological Survey
Flagstaff Science Campus
2255 N. Gemini Dr.
Flagstaff, AZ 86001
Tel: (928) 556-7000
A model to compute reservoir sedimentation rates at daily timescales is presented. The model uses streamflow and sediment load data from nearby stream gauges to obtain an initial estimate of sediment yield for the reservoir’s watershed; it is then calibrated to the total deposition calculated from repeat bathymetric surveys. Long-term changes to reservoir trapping efficiency are also taken into account. The model was applied to the Fena Valley Reservoir, a water supply reservoir on the island of Guam. This reservoir became operational in 1951 and was recently surveyed in 2014. The model results show that the highest rate of deposition occurred during two typhoons (Typhoon Alice in 1953 and Typhoon Tingting in 2004); each storm decreased reservoir capacity by approximately 2–3% in only a few days. The presented model can be used to evaluate the impact of an extreme event, or it can be coupled with a watershed runoff model to evaluate potential impacts to storage capacity as a result of climate change or other hydrologic modifications.
","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)HY.1943-7900.0001344","usgsCitation":"Marineau, M.D., and Wright, S., 2017, Daily reservoir sedimentation model: Case study from the Fena Valley Reservoir, Guam: Journal of Hydraulic Engineering, v. 143, no. 9, Article 05017003; 11 p., https://doi.org/10.1061/(ASCE)HY.1943-7900.0001344.","productDescription":"Article 05017003; 11 p.","ipdsId":"IP-082309","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":343086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1bae4b0d1f9f05b37a8","contributors":{"authors":[{"text":"Marineau, Mathieu D. 0000-0002-6568-0743 mmarineau@usgs.gov","orcid":"https://orcid.org/0000-0002-6568-0743","contributorId":4954,"corporation":false,"usgs":true,"family":"Marineau","given":"Mathieu","email":"mmarineau@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698946,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187880,"text":"70187880 - 2017 - A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA","interactions":[],"lastModifiedDate":"2018-03-15T10:26:15","indexId":"70187880","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","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":"A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA","docAbstract":"Intense demand for water in the Central Valley of California and related increases in groundwater nitrate concentration threaten the sustainability of the groundwater resource. To assess contamination risk in the region, we developed a hybrid, non-linear, machine learning model within a statistical learning framework to predict nitrate contamination of groundwater to depths of approximately 500 m below ground surface. A database of 145 predictor variables representing well characteristics, historical and current field and landscape-scale nitrogen mass balances, historical and current land use, oxidation/reduction conditions, groundwater flow, climate, soil characteristics, depth to groundwater, and groundwater age were assigned to over 6000 private supply and public supply wells measured previously for nitrate and located throughout the study area. The boosted regression tree (BRT) method was used to screen and rank variables to predict nitrate concentration at the depths of domestic and public well supplies. The novel approach included as predictor variables outputs from existing physically based models of the Central Valley. The top five most important predictor variables included two oxidation/reduction variables (probability of manganese concentration to exceed 50 ppb and probability of dissolved oxygen concentration to be below 0.5 ppm), field-scale adjusted unsaturated zone nitrogen input for the 1975 time period, average difference between precipitation and evapotranspiration during the years 1971–2000, and 1992 total landscape nitrogen input. Twenty-five variables were selected for the final model for log-transformed nitrate. In general, increasing probability of anoxic conditions and increasing precipitation relative to potential evapotranspiration had a corresponding decrease in nitrate concentration predictions. Conversely, increasing 1975 unsaturated zone nitrogen leaching flux and 1992 total landscape nitrogen input had an increasing relative impact on nitrate predictions. Three-dimensional visualization indicates that nitrate predictions depend on the probability of anoxic conditions and other factors, and that nitrate predictions generally decreased with increasing groundwater age.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.05.192","usgsCitation":"Ransom, K.M., Nolan, B.T., Traum, J.A., Faunt, C., Bell, A.M., Gronberg, J.A., Wheeler, D.C., Zamora, C., Jurgens, B.C., Schwarz, G., Belitz, K., Eberts, S.M., Kourakos, G., and Harter, T., 2017, A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA: Science of the Total Environment, v. 601-602, p. 1160-1172, https://doi.org/10.1016/j.scitotenv.2017.05.192.","productDescription":"13 p.","startPage":"1160","endPage":"1172","ipdsId":"IP-082440","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":461489,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.05.192","text":"Publisher Index Page"},{"id":438283,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7V40SDN","text":"USGS data release","linkHelpText":"A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA"},{"id":343088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.87109375,\n 40.43858586704331\n ],\n [\n -122.64038085937499,\n 39.49556336059472\n ],\n [\n -122.11303710937499,\n 38.59970036588819\n ],\n [\n -121.9482421875,\n 38.06539235133249\n ],\n [\n -121.48681640624999,\n 37.65773212628272\n ],\n [\n -120.87158203125,\n 36.83566824724438\n ],\n [\n -120.17944335937499,\n 35.90684930677121\n ],\n [\n -119.37744140625,\n 34.96699890670367\n ],\n [\n -118.76220703125001,\n 34.903952965590065\n ],\n [\n -118.6083984375,\n 35.65729624809628\n ],\n [\n -118.88305664062499,\n 36.31512514748051\n ],\n [\n -119.608154296875,\n 37.020098201368114\n ],\n [\n -120.99243164062501,\n 38.53097889440024\n ],\n [\n -121.30004882812499,\n 39.317300373271024\n ],\n [\n -121.915283203125,\n 40.6723059714534\n ],\n [\n -122.33276367187499,\n 40.730608477796636\n ],\n [\n -122.87109375,\n 40.43858586704331\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"601-602","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1bae4b0d1f9f05b37aa","contributors":{"authors":[{"text":"Ransom, Katherine M. 0000-0001-6195-7699","orcid":"https://orcid.org/0000-0001-6195-7699","contributorId":192230,"corporation":false,"usgs":false,"family":"Ransom","given":"Katherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":695868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":695867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":695869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":695870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bell, Andrew M.","contributorId":192231,"corporation":false,"usgs":false,"family":"Bell","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":695871,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gronberg, Jo Ann M.","contributorId":192232,"corporation":false,"usgs":false,"family":"Gronberg","given":"Jo","email":"","middleInitial":"Ann M.","affiliations":[],"preferred":false,"id":695872,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wheeler, David C.","contributorId":146297,"corporation":false,"usgs":false,"family":"Wheeler","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":695873,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zamora, Celia 0000-0003-1456-4360 czamora@usgs.gov","orcid":"https://orcid.org/0000-0003-1456-4360","contributorId":1514,"corporation":false,"usgs":true,"family":"Zamora","given":"Celia","email":"czamora@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":695874,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127842,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","email":"bjurgens@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":695875,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":false,"id":695876,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":695877,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Eberts, Sandra M. 0000-0001-5138-8293 smeberts@usgs.gov","orcid":"https://orcid.org/0000-0001-5138-8293","contributorId":127844,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra","email":"smeberts@usgs.gov","middleInitial":"M.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":695878,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kourakos, George","contributorId":192233,"corporation":false,"usgs":false,"family":"Kourakos","given":"George","email":"","affiliations":[],"preferred":false,"id":695879,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Harter, Thomas","contributorId":178245,"corporation":false,"usgs":false,"family":"Harter","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":695880,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70188999,"text":"70188999 - 2017 - Wave dynamics and flooding on low-lying tropical reef-lined coasts","interactions":[],"lastModifiedDate":"2017-06-28T16:58:22","indexId":"70188999","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Wave dynamics and flooding on low-lying tropical reef-lined coasts","docAbstract":"Many tropical islands and coasts are lined with coral reefs. These reefs are host to valuable ecosystems that support\nabundant marine species and provide resources for fisheries and recreation. As a flood defense, reefs protect coastlines\nfrom coastal storm damage and flooding by reducing the majority of incident wave energy. However, during storm and\nlarge swell conditions, coastal wave-driven flooding and overwash still occur due to high water levels, (infra) gravity\nwaves, and/or low-frequency wave resonance. The wave and flooding effects cause erosion, damage to infrastructure,\nagricultural crops, and salinization of precious drinking water supplies. These impacts, which are likely to increase due\nto climate change and ongoing development on the islands, may cause many low-lying tropical islands and coastal\nareas to become uninhabitable before the end of the century. This paper investigates aspects of wave dynamics for the\ncase of a small island in the tropical Pacific Ocean, shows projections of flooding under climate change scenarios, and\noutlines approaches to generalize the results to other islands, including mitigation options.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Coastal Dynamics 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Dynamics 2017","conferenceDate":"June 12-16, 2017","conferenceLocation":"Helsingør, Denmark","language":"English","publisher":"Coastal Dynamics","usgsCitation":"van Dongeran, A., Storlazzi, C.D., Quataert, E., and Pearson, S., 2017, Wave dynamics and flooding on low-lying tropical reef-lined coasts, in Proceedings Coastal Dynamics 2017, Helsingør, Denmark, June 12-16, 2017, p. 654-664.","productDescription":"11 p.","startPage":"654","endPage":"664","ipdsId":"IP-085779","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":343109,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://coastaldynamics2017.dk/proceedings.html"},{"id":343110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1b9e4b0d1f9f05b37a0","contributors":{"authors":[{"text":"van Dongeran, Ap","contributorId":176244,"corporation":false,"usgs":false,"family":"van Dongeran","given":"Ap","email":"","affiliations":[],"preferred":false,"id":702344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":702343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quataert, Ellen","contributorId":193834,"corporation":false,"usgs":false,"family":"Quataert","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":702345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Stuart","contributorId":193835,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","affiliations":[],"preferred":false,"id":702346,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188985,"text":"70188985 - 2017 - Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki","interactions":[],"lastModifiedDate":"2017-07-10T14:35:39","indexId":"70188985","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki","title":"Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki","docAbstract":"Macrhybopsis reproduction and propagule traits were studied in the laboratory using two temperature regimes and three hormone treatments to determine which methods produced the most spawns. Only sicklefin chub Macrhybopsis meeki spawned successfully although sturgeon chub Macrhybopsis gelida released unfertilized eggs. All temperature and hormone treatments produced M. meeki spawns, but two treatments had similar success rates at 44 and 43%, consisting of a constant daily temperature with no hormone added, or daily temperature fluctuations with hormone added to the water. Spawns consisted of multiple successful demersal circular swimming spawning embraces interspersed with circular swims without embraces. The most spawns observed for one female was four and on average, 327 eggs were collected after each spawn. The water-hardened eggs were semi-buoyant and non-adhesive, the first confirmation of this type of reproductive guild in the Missouri River Macrhybopsis sp. From spawn, larvae swam vertically until 123 accumulated degree days (° D) and 167° D for consumption of first food. Using average water speed and laboratory development time, the predicted drift distance for eggs and larvae could be 468–592 km in the lower Missouri River. Results from this study determined the reproductive biology and early life history of Macrhybopsis spp. and provided insight into their population dynamics in the Missouri River.
","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13329","usgsCitation":"Albers, J.L., and Wildhaber, M.L., 2017, Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki: Journal of Fish Biology, v. 91, no. 1, p. 58-79, https://doi.org/10.1111/jfb.13329.","productDescription":"22 p.","startPage":"58","endPage":"79","ipdsId":"IP-064083","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":438285,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70P0X9Q","text":"USGS data release","linkHelpText":"Reproductive strategy, spawning induction, spawning temperatures and early life history of captive sicklefin chub Macrhybopsis meeki-Data"},{"id":343074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-13","publicationStatus":"PW","scienceBaseUri":"59649235e4b0d1f9f05acd44","contributors":{"authors":[{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":702247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":702248,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188977,"text":"70188977 - 2017 - Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics","interactions":[],"lastModifiedDate":"2021-06-07T11:56:43.805323","indexId":"70188977","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics","docAbstract":"We used bioenergetic simulations combined with satellite-measured water temperature and estimates of algal food availability to predict the habitat suitability of Lake Michigan for adult silver carp (Hypophthalmichthys \r\nmolitrix) and bighead carp (H. nobilis). Depending on water temperature, we found that bigheaded carp require ambient algal concentrations between 1 and 7 μg chlorophyll/L or between 0.25 × 105 and 1.20 × 105 cells/mL \r\nMicrocystis to maintain body weight. When the bioenergetics model is forced with the observed average annual temperature cycle, our simulations predicted silver carp bioenergetics predicted annual weight change ranging \r\nfrom 9% weight loss to 23% gain; bighead carp ranged from 68 to 177% weight gain. Algal concentrations b4 μg chlorophyll/L and b200,000 cells/mL were below the detection limits of the remote sensing method. However, all areas with detectable algae have sufficient concentrations of algal foods for bigheaded carp weight-maintenance and growth. Those areas are predominately along the nearshore areas.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.03.005","usgsCitation":"Anderson, K.R., Chapman, D., Wynne, T.T., and Paukert, C.P., 2017, Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics: Journal of Great Lakes Research, v. 43, no. 3, p. 90-99, https://doi.org/10.1016/j.jglr.2017.03.005.","productDescription":"10 p.","startPage":"90","endPage":"99","ipdsId":"IP-077126","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":343065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","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 -87.593994140625,\n 45.00365115687186\n ],\n [\n -87.901611328125,\n 44.902577996288876\n ],\n [\n -88.13232421875,\n 44.55133484083592\n ],\n [\n -87.967529296875,\n 44.457309801319305\n ],\n [\n -87.4951171875,\n 44.63739123445585\n ],\n [\n -87.286376953125,\n 44.88701247981298\n ],\n [\n -87.550048828125,\n 45.01918507438176\n ],\n [\n -87.593994140625,\n 45.00365115687186\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.616455078125,\n 45.13555516012536\n ],\n [\n -85.71533203125,\n 44.72332018895825\n ],\n [\n -85.341796875,\n 44.762336674810996\n ],\n [\n -85.177001953125,\n 45.00365115687186\n ],\n [\n -85.242919921875,\n 45.22848059584359\n ],\n [\n -85.308837890625,\n 45.31352900692258\n ],\n [\n -85.616455078125,\n 45.13555516012536\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.8466796875,\n 42.431565872579185\n ],\n [\n -87.703857421875,\n 42.06560675405716\n ],\n [\n -87.62695312499999,\n 41.73852846935917\n ],\n [\n -87.56103515625,\n 41.566141964768384\n ],\n [\n -87.242431640625,\n 41.590796851056005\n ],\n [\n -87.16552734375,\n 41.91045347666418\n ],\n [\n -87.20947265625,\n 42.13896840458089\n ],\n [\n -87.36328125,\n 42.439674178149424\n ],\n [\n -87.57202148437499,\n 42.54498667313236\n ],\n [\n -87.857666015625,\n 42.39912215986002\n ],\n [\n -87.8466796875,\n 42.431565872579185\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.319580078125,\n 43.205175817237304\n ],\n [\n -86.297607421875,\n 43.15710884095329\n ],\n [\n -86.6162109375,\n 43.11702412135048\n ],\n [\n -86.737060546875,\n 42.94033923363181\n ],\n [\n -86.748046875,\n 42.8115217450979\n ],\n [\n -86.693115234375,\n 42.65820178455667\n ],\n [\n -86.5283203125,\n 42.4234565179383\n ],\n [\n -86.253662109375,\n 42.415346114253616\n ],\n [\n -86.1328125,\n 42.69051116998238\n ],\n [\n -86.02294921875,\n 42.96446257387128\n ],\n [\n -86.319580078125,\n 43.205175817237304\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1b9e4b0d1f9f05b37a4","contributors":{"authors":[{"text":"Anderson, Karl R. 0000-0002-8584-1225 karlanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-8584-1225","contributorId":5113,"corporation":false,"usgs":true,"family":"Anderson","given":"Karl","email":"karlanderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":702081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":702082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wynne, Tim T.","contributorId":193798,"corporation":false,"usgs":false,"family":"Wynne","given":"Tim","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":702083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":702084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188891,"text":"70188891 - 2017 - The contribution of lakes to global inland fisheries harvest","interactions":[],"lastModifiedDate":"2017-08-03T08:43:25","indexId":"70188891","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"The contribution of lakes to global inland fisheries harvest","docAbstract":"Freshwater ecosystems provide numerous services for communities worldwide, including irrigation, hydropower, and municipal water; however, the services provided by inland fisheries – nourishment, employment, and recreational opportunities – are often comparatively undervalued. We provide an independent estimate of global lake harvest to improve biological and socioeconomic assessments of inland fisheries. On the basis of satellite-derived estimates of chlorophyll concentration from 80,012 globally distributed lakes, lake-specific fishing effort based on human population, and output from a Bayesian hierarchical model, we estimated that the global lake fishery harvest in the year 2011 was 8.4 million tons (mt). Our calculations excluded harvests from highly productive rivers, wetlands, and very small lakes; therefore, the true cumulative global fishery harvest from all freshwater sources likely exceeded 11 mt as reported by the Food and Agriculture Organization of the United Nations (FAO). This putative underestimate by the FAO could diminish the perceived importance of inland fisheries and perpetuate decisions that adversely affect these fisheries and millions of people.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1503","usgsCitation":"Deines, A.M., Bunnell, D., Rogers, M.W., Bennion, D., Woelmer, W., Sayers, M.J., Grimm, A.G., Shuchman, R.A., Raymer, Z.B., Brooks, C.N., Mychek-Londer, J.G., Taylor, W.W., and Beard, 2017, The contribution of lakes to global inland fisheries harvest: Frontiers in Ecology and the Environment, v. 15, no. 6, p. 293-298, https://doi.org/10.1002/fee.1503.","productDescription":"6 p.","startPage":"293","endPage":"298","ipdsId":"IP-073799","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":342933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"59536ea3e4b062508e3c7a5b","contributors":{"authors":[{"text":"Deines, Andrew M.","contributorId":166920,"corporation":false,"usgs":false,"family":"Deines","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":700847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":169859,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":700846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennion, David 0000-0003-4927-4195 dbennion@usgs.gov","orcid":"https://orcid.org/0000-0003-4927-4195","contributorId":149533,"corporation":false,"usgs":true,"family":"Bennion","given":"David","email":"dbennion@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woelmer, Whitney 0000-0001-5147-3877 wwoelmer@usgs.gov","orcid":"https://orcid.org/0000-0001-5147-3877","contributorId":150485,"corporation":false,"usgs":true,"family":"Woelmer","given":"Whitney","email":"wwoelmer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sayers, Michael J.","contributorId":172893,"corporation":false,"usgs":false,"family":"Sayers","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":27113,"text":"Michigan Tech University","active":true,"usgs":false}],"preferred":false,"id":700851,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grimm, Amanda G.","contributorId":150482,"corporation":false,"usgs":false,"family":"Grimm","given":"Amanda","email":"","middleInitial":"G.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":700852,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shuchman, Robert A.","contributorId":150483,"corporation":false,"usgs":false,"family":"Shuchman","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":700853,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Raymer, Zachary B.","contributorId":193573,"corporation":false,"usgs":false,"family":"Raymer","given":"Zachary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700854,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brooks, Colin N. 0000-0003-4544-2569","orcid":"https://orcid.org/0000-0003-4544-2569","contributorId":193574,"corporation":false,"usgs":false,"family":"Brooks","given":"Colin","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":700855,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mychek-Londer, Justin G.","contributorId":193575,"corporation":false,"usgs":false,"family":"Mychek-Londer","given":"Justin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":700856,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Taylor, William W.","contributorId":166927,"corporation":false,"usgs":false,"family":"Taylor","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":700857,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Beard, Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":169459,"corporation":false,"usgs":true,"family":"Beard","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":700858,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70188892,"text":"70188892 - 2017 - Light climate and dissolved organic carbon concentration influence species-specific changes in fish zooplanktivory","interactions":[],"lastModifiedDate":"2017-09-18T15:38:29","indexId":"70188892","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Light climate and dissolved organic carbon concentration influence species-specific changes in fish zooplanktivory","docAbstract":"Dissolved organic carbon (DOC) in lakes reduces light penetration and limits fish production in low nutrient lakes, reportedly via reduced primary and secondary production. Alternatively, DOC and light reductions could influence fish by altering their visual feeding. Previous studies report mixed effects of DOC on feeding rates of zooplanktivorous fish, but most investigators tested effects of a single concentration of DOC against clear-water, turbid, or algal treatments. We used a controlled laboratory study to quantify the effects of a DOC gradient (3–19 mg L−1) on average light climate and the zooplankton feeding rate of 3 common, north temperate fishes. Light availability, which was inversely related to DOC concentration, had a positive and linear effect on zooplankton consumption by juvenile largemouth bass (Micropterus salmoides) and bluegill (Lepomis macrochirus), explaining 22% and 28% of the variation in consumption, respectively. By contrast, zooplankton feeding rates by fathead minnow (Pimephales promelas) were best predicted by a nonlinear, negative influence of light (R2 = 0.13). In bluegill feeding trials we found a general trend for positive selection of larger zooplankton (Cladocera and Chaoboridae); however, the light climate did not influence the selection of prey type. Largemouth bass selected for larger-bodied zooplankton, with weak evidence that selectivity for large Cladocera changed from negative to neutral selection based on electivity values across the light gradient. Our results suggest that the effect of DOC on the light climate of lakes may directly influence fish zooplanktivory and that this influence may vary among fish species.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/20442041.2017.1329121","usgsCitation":"Weidel, B., Baglini, K., Jones, S., Kelly, P.T., Solomon, C.T., and Zwart, J., 2017, Light climate and dissolved organic carbon concentration influence species-specific changes in fish zooplanktivory: Inland Waters, v. 7, no. 2, p. 210-217, https://doi.org/10.1080/20442041.2017.1329121.","productDescription":"8 p.","startPage":"210","endPage":"217","ipdsId":"IP-060067","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":342932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"59536ea3e4b062508e3c7a59","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baglini, Katherine","contributorId":193576,"corporation":false,"usgs":false,"family":"Baglini","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":700860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Stuart E.","contributorId":22222,"corporation":false,"usgs":false,"family":"Jones","given":"Stuart E.","affiliations":[{"id":6966,"text":"Department of Biological Sciences, University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":700861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Patrick T.","contributorId":193577,"corporation":false,"usgs":false,"family":"Kelly","given":"Patrick","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":700862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solomon, Christopher T.","contributorId":34014,"corporation":false,"usgs":false,"family":"Solomon","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":700863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zwart, Jacob A.","contributorId":173345,"corporation":false,"usgs":false,"family":"Zwart","given":"Jacob A.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":700864,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185497,"text":"sir20175022B - 2017 - Field-trip guide to subaqueous volcaniclastic facies in the Ancestral Cascades arc in southern Washington State—The Ohanapecosh Formation and Wildcat Creek beds","interactions":[{"subject":{"id":70185497,"text":"sir20175022B - 2017 - Field-trip guide to subaqueous volcaniclastic facies in the Ancestral Cascades arc in southern Washington State—The Ohanapecosh Formation and Wildcat Creek beds","indexId":"sir20175022B","publicationYear":"2017","noYear":false,"chapter":"B","title":"Field-trip guide to subaqueous volcaniclastic facies in the Ancestral Cascades arc in southern Washington State—The Ohanapecosh Formation and Wildcat Creek beds"},"predicate":"IS_PART_OF","object":{"id":70188710,"text":"sir20175022 - 2017 - Field-trip guides to selected volcanoes and volcanic landscapes of the western United States","indexId":"sir20175022","publicationYear":"2017","noYear":false,"title":"Field-trip guides to selected volcanoes and volcanic landscapes of the western United States"},"id":1}],"isPartOf":{"id":70188710,"text":"sir20175022 - 2017 - Field-trip guides to selected volcanoes and volcanic landscapes of the western United States","indexId":"sir20175022","publicationYear":"2017","noYear":false,"title":"Field-trip guides to selected volcanoes and volcanic landscapes of the western United States"},"lastModifiedDate":"2017-07-27T12:29:14","indexId":"sir20175022B","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","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":"2017-5022","chapter":"B","title":"Field-trip guide to subaqueous volcaniclastic facies in the Ancestral Cascades arc in southern Washington State—The Ohanapecosh Formation and Wildcat Creek beds","docAbstract":"Partly situated in the idyllic Mount Rainier National Park, this field trip visits exceptional examples of Oligocene subaqueous volcaniclastic successions in continental basins adjacent to the Ancestral Cascades arc. The >800-m-thick Ohanapecosh Formation (32–26 Ma) and the >300-m-thick Wildcat Creek (27 Ma) beds record similar sedimentation processes from various volcanic sources. Both show evidence of below-wave-base deposition, and voluminous accumulation of volcaniclastic facies from subaqueous density currents and suspension settling. Eruption-fed facies include deposits from pyroclastic flows that crossed the shoreline, from tephra fallout over water, and from probable Surtseyan eruptions, whereas re-sedimented facies comprise subaqueous density currents and debris flow deposits.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175022B","usgsCitation":"Jutzeler, M., and McPhie, J., 2017, Field-trip guide to subaqueous volcaniclastic facies in the Ancestral Cascades arc in southern Washington State—The Ohanapecosh Formation and Wildcat Creek beds: U.S. Geological Survey Scientific Investigations Report 2017–5022–B, 24 p., https://doi.org/10.3133/sir20175022B.","productDescription":"vii, 24 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-076025","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":342970,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/b/sir20175022b.pdf","text":"Report","size":"11.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5022-B"},{"id":342969,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5022/b/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Ancestral Cascades Arc, Ohanapecosh Formation, Wildcat Creek Beds","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.62139892578125,\n 46.649436163350245\n ],\n [\n -120.9814453125,\n 46.649436163350245\n ],\n [\n -120.9814453125,\n 46.903369029728054\n ],\n [\n -121.62139892578125,\n 46.903369029728054\n ],\n [\n -121.62139892578125,\n 46.649436163350245\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
One poorly constrained reservoir of the Earth's water budget is that of clinopyroxene in metasomatised, mantle peridotites. This study presents reconnaissance Sensitive High-Resolution, Ion Microprobe–Stable Isotope (SHRIMP–SI) determinations of the H2O contents of (dominantly) clinopyroxenes in rare mantle xenoliths from four different subduction zones, i.e. Mexico, Kamchatka, Philippines, and New Britain (Tabar-Feni island chain) as well as one intra-plate setting (western Victoria). All of the sub-arc xenoliths have been metasomatised and carry strong arc trace element signatures. Average measured H2O contents of the pyroxenes range from 70 ppm to 510 ppm whereas calculated bulk H2O contents range from 88 ppm to 3 737 ppm if the variable presence of amphibole is taken into account. In contrast, the intra-plate, continental mantle xenolith from western Victoria has higher water contents (3 447 ppm) but was metasomatised by alkali and/or carbonatitic melts and does not carry a subduction-related signature. Material similar to the sub-arc peridotites can either be accreted to the base of the lithosphere or potentially be transported by convection deeper into the mantle where it will lose water due to amphibole breakdown.
","language":"English","publisher":"Wiley","doi":"10.1111/iar.12210","usgsCitation":"Turner, M., Turner, S., Blatter, D.L., Maury, R., Perfit, M., and Yogodzinski, G., 2017, Water contents of clinopyroxenes from sub-arc mantle peridotites: Island Arc, v. 26, no. 5, e12210; 10 p., https://doi.org/10.1111/iar.12210.","productDescription":"e12210; 10 p.","ipdsId":"IP-064559","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":461499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/iar.12210","text":"Publisher Index Page"},{"id":342984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-27","publicationStatus":"PW","scienceBaseUri":"59536ea1e4b062508e3c7a55","contributors":{"authors":[{"text":"Turner, Michael","contributorId":193627,"corporation":false,"usgs":false,"family":"Turner","given":"Michael","email":"","affiliations":[],"preferred":false,"id":701124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Simon","contributorId":67783,"corporation":false,"usgs":true,"family":"Turner","given":"Simon","affiliations":[],"preferred":false,"id":701125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blatter, Dawnika L. 0000-0002-7161-6844 dblatter@usgs.gov","orcid":"https://orcid.org/0000-0002-7161-6844","contributorId":4899,"corporation":false,"usgs":true,"family":"Blatter","given":"Dawnika","email":"dblatter@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":701123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maury, Rene","contributorId":193629,"corporation":false,"usgs":false,"family":"Maury","given":"Rene","email":"","affiliations":[],"preferred":false,"id":701126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perfit, Michael","contributorId":13736,"corporation":false,"usgs":false,"family":"Perfit","given":"Michael","affiliations":[],"preferred":false,"id":701127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yogodzinski, Gene","contributorId":193631,"corporation":false,"usgs":false,"family":"Yogodzinski","given":"Gene","email":"","affiliations":[],"preferred":false,"id":701128,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187492,"text":"sir20175034 - 2017 - Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds","interactions":[],"lastModifiedDate":"2017-06-26T10:38:00","indexId":"sir20175034","displayToPublicDate":"2017-06-26T10:15:00","publicationYear":"2017","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":"2017-5034","title":"Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds","docAbstract":"Quantitative estimates of base flow are necessary to address questions concerning the vulnerability and response of the Nation’s water supply to natural and human-induced change in environmental conditions. An objective of the U.S. Geological Survey National Water-Quality Assessment Project is to determine how hydrologic systems are affected by watershed characteristics, including land use, land cover, water use, climate, and natural characteristics (geology, soil type, and topography). An important component of any hydrologic system is base flow, generally described as the part of streamflow that is sustained between precipitation events, fed to stream channels by delayed (usually subsurface) pathways, and more specifically as the volumetric discharge of water, estimated at a measurement site or gage at the watershed scale, which represents groundwater that discharges directly or indirectly to stream reaches and is then routed to the measurement point.
Hydrograph separation using a recursive digital filter was applied to 225 sites in the Chesapeake Bay watershed. The recursive digital filter was chosen for the following reasons: it is based in part on the assumption that groundwater acts as a linear reservoir, and so has a physical basis; it has only two adjustable parameters (alpha, obtained directly from recession analysis, and beta, the maximum value of the base-flow index that can be modeled by the filter), which can be determined objectively and with the same physical basis of groundwater reservoir linearity, or that can be optimized by applying a chemical-mass-balance constraint. Base-flow estimates from the recursive digital filter were compared with those from five other hydrograph-separation methods with respect to two metrics: the long-term average fraction of streamflow that is base flow, or base-flow index, and the fraction of days where streamflow is entirely base flow. There was generally good correlation between the methods, with some biased slightly high and some biased slightly low compared to the recursive digital filter. There were notable differences between the days at base flow estimated by the different methods, with the recursive digital filter having a smaller range of values. This was attributed to how the different methods determine cessation of quickflow (the part of streamflow which is not base flow).
For 109 Chesapeake Bay watershed sites with available specific conductance data, the parameters of the filter were optimized using a chemical-mass-balance constraint and two different models for the time-dependence of base-flow specific conductance. Sixty-seven models were deemed acceptable and the results compared well with non-optimized results. There are a number of limitations to the optimal hydrograph-separation approach resulting from the assumptions implicit in the conceptual model, the mathematical model, and the approach taken to impose chemical mass balance (including tracer choice). These limitations may be evidenced by poor model results; conversely, poor model fit may provide an indication that two-component separation does not adequately describe the hydrologic system’s runoff response.
The results of this study may be used to address a number of questions regarding the role of groundwater in understanding past changes in stream-water quality and forecasting possible future changes, such as the timing and magnitude of land-use and management practice effects on stream and groundwater quality. Ongoing and future modeling efforts may benefit from the estimates of base flow as calibration targets or as a means to filter chemical data to model base-flow loads and trends. Ultimately, base-flow estimation might provide the basis for future work aimed at improving the ability to quantify groundwater discharge, not only at the scale of a gaged watershed, but at the scale of individual reaches as well.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175034","isbn":"978-1-4113-4135-7","collaboration":"National Water Quality Program","usgsCitation":"Raffensperger, J.P., Baker, A.C., Blomquist, J.D., and Hopple, J.A., 2017, Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds: U.S. Geological Survey Scientific Investigations Report 2017–5034, 51 p., https://doi.org/10.3133/sir20175034.","productDescription":"Report: vii, 51 p.; Data Release","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-080740","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":342818,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5034/sir20175034.pdf","text":"Report","size":"2.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5034"},{"id":342817,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5034/coverthb.jpg"},{"id":342819,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F757194G","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydrograph-separation results for 225 streams in the Chesapeake Bay watershed derived by using PART, HYSEP (Fixed, Local minimum, Slide), BFI, and a Recursive Digital Filter with streamflow data ranging from 1913 through 2016"}],"contact":"Director, MD-DE-DC Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
The highly pathogenic avian influenza (H5N2) outbreak in the Midwestern United States (US) in 2015 was historic due to the number of birds and poultry operations impacted and the corresponding economic loss to the poultry industry and was the largest animal health emergency in US history. The U.S. Geological Survey (USGS), with the assistance of several state and federal agencies, aided the response to the outbreak by developing a study to determine the extent of virus transport in the environment. The study goals were to: develop the appropriate sampling methods and protocols for measuring avian influenza virus (AIV) in groundwater, provide the first baseline data on AIV and outbreak- and poultry-related contaminant occurrence and movement into groundwater, and document climatological factors that may have affected both survival and transport of AIV to groundwater during the months of the 2015 outbreak. While site selection was expedient, there were often delays in sample response times due to both relationship building between agencies, groups, and producers and logistical time constraints. This study's design and sampling process highlights the unpredictable nature of disease outbreaks and the corresponding difficulty in environmental sampling of such events. The lessons learned, including field protocols and approaches, can be used to improve future research on AIV in the environment.
A study was conducted in 2014–15 by the U.S. Geological Survey (USGS), in cooperation with the Municipality of Caguas, to determine if changes in the stream sanitary quality during base-flow conditions have occurred since 1997–99, when a similar study was completed by the USGS. Water samples were collected for the current study during two synoptic surveys in 2014 and 2015. Water samples were analyzed for fecal and total coliform bacteria, nitrate plus nitrite as nitrogen, nitrogen and oxygen isotopes of nitrate, and human health and pharmaceutical products. Water sampling occurred at 39 stream locations used during the 1997–99 study by the USGS and at 11 additional sites. A total of 151 stream miles were classified on the basis of fecal and total coliform bacteria results.
The overall spatial pattern of the sanitary quality of surface water during 2014–15 is similar to the pattern observed in 1997–99 in relation to the standards adopted by the Puerto Rico Environmental Quality Board in 1990. Surface water at most of the water-sampling sites exceeded the current standard for fecal coliform of 200 colonies per 100 milliliters adopted by the Puerto Rico Environmental Quality Board in 2010. The poorest sanitary quality was within the urban area of the Municipality of Caguas, particularly in urban stream reaches of Río Caguitas and in rural and suburban reaches bordered by houses in high density that either have inadequate septic tanks or discharge domestic wastewater directly into the stream channels. The best sanitary quality occurred in areas having little or no human development, such as in the wards of San Salvador and Beatriz to the south and southwest of Caguas, respectively. The concentration of nitrate plus nitrite as nitrogen ranged from 0.02 to 9.0 milligrams per liter, and did not exceed the U.S. Environmental Protection Agency drinking-water standard for nitrate as nitrogen of 10 milligrams per liter. The composition of nitrogen and oxygen isotopes of nitrate indicates that the origin of nitrate in the streams is most likely animal and human waste. A baseline was established for the concentrations of selected human health and pharmaceutical products at stations in some of the streams within the Municipality of Caguas. Thirty-eight human health and pharmaceutical products were present at or above the measurement detection level.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175045","collaboration":"Prepared in cooperation with the Autonomous Municipality of Caguas","usgsCitation":"Rodríguez-Martínez, Jesús, and Guzmán-Ríos, Senén, 2017, Sanitary quality of surface water during base-flow conditions in the Municipality of Caguas, Puerto Rico, 2014–15: A comparison with results from a similar 1997–99 study: U.S. Geological Survey Scientific Investigations Report 2017–5045, 20 p., https://doi.org/10.3133/sir20175045.","productDescription":"Report: vii, 20 p.; Plate: 20.66 x 40.73 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068670","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":342871,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5045/sir20175045.pdf","text":"Report","size":"6.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5045"},{"id":342870,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5045/coverthb.jpg"},{"id":342872,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5045/sir20175045_plate1.pdf","text":"Plate 1","size":"2.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5045 Plate 1"}],"state":"Puerto Rico","city":"Caguas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.11846923828125,\n 18.21043697192524\n ],\n [\n -66.11469268798828,\n 18.205544990993996\n ],\n [\n -66.1105728149414,\n 18.202283594051302\n ],\n [\n -66.10748291015625,\n 18.196412925723553\n ],\n [\n -66.10576629638672,\n 18.19347751740534\n ],\n [\n -66.10404968261719,\n 18.189563562762388\n ],\n [\n -66.10198974609375,\n 18.182713930748225\n ],\n [\n -66.1050796508789,\n 18.17097107872978\n ],\n [\n -66.10198974609375,\n 18.16934006457067\n ],\n [\n -66.09786987304688,\n 18.16934006457067\n ],\n [\n -66.09580993652344,\n 18.167382827465936\n ],\n [\n -66.09340667724608,\n 18.165751779785175\n ],\n [\n -66.09100341796875,\n 18.16248963871919\n ],\n [\n -66.08036041259766,\n 18.152702849970225\n ],\n [\n -66.06525421142578,\n 18.147483005164343\n ],\n [\n -66.06937408447266,\n 18.142263004485088\n ],\n [\n -66.06937408447266,\n 18.13932668561848\n ],\n [\n -66.06937408447266,\n 18.13639031745169\n ],\n [\n -66.06903076171875,\n 18.13378017103228\n ],\n [\n -66.0666275024414,\n 18.132801356084773\n ],\n [\n -66.06525421142578,\n 18.131169985669935\n ],\n [\n -66.06319427490234,\n 18.128233480594282\n ],\n [\n -66.06285095214844,\n 18.124970639386515\n ],\n [\n -66.060791015625,\n 18.122360322627372\n ],\n [\n -66.0604476928711,\n 18.117792174646205\n ],\n [\n -66.05289459228516,\n 18.113223907492948\n ],\n [\n -66.05117797851562,\n 18.114202831913992\n ],\n [\n -66.04877471923828,\n 18.114529138838503\n ],\n [\n -66.04328155517578,\n 18.114855445155094\n ],\n [\n -66.04053497314453,\n 18.116486967618844\n ],\n [\n -66.03710174560547,\n 18.119749966946426\n ],\n [\n -66.03469848632812,\n 18.123339195973454\n ],\n [\n -66.03229522705078,\n 18.128886041536276\n ],\n [\n -66.03057861328125,\n 18.132475083218672\n ],\n [\n -66.02783203125,\n 18.13345389999159\n ],\n [\n -66.02371215820312,\n 18.135737784498\n ],\n [\n -66.02474212646484,\n 18.140305464052165\n ],\n [\n -66.02027893066406,\n 18.142915513093\n ],\n [\n -66.02062225341797,\n 18.145851771694467\n ],\n [\n -66.02130889892578,\n 18.149766706448922\n ],\n [\n -66.02165222167969,\n 18.154986483048052\n ],\n [\n -66.02027893066406,\n 18.158901213171138\n ],\n [\n -66.0219955444336,\n 18.16542556842076\n ],\n [\n -66.01856231689453,\n 18.16934006457067\n ],\n [\n -66.01821899414062,\n 18.17292827560514\n ],\n [\n -66.01547241210936,\n 18.176190221627056\n ],\n [\n -66.01238250732422,\n 18.176516412876\n ],\n [\n -66.01238250732422,\n 18.179125920916775\n ],\n [\n -66.01341247558594,\n 18.18238775108558\n ],\n [\n -66.0113525390625,\n 18.184344819912738\n ],\n [\n -66.00894927978516,\n 18.18662803912506\n ],\n [\n -66.005859375,\n 18.18662803912506\n ],\n [\n -66.00345611572266,\n 18.184997171309004\n ],\n [\n -66.00345611572266,\n 18.18728038198146\n ],\n [\n -66.0007095336914,\n 18.188911228446756\n ],\n [\n -65.99899291992188,\n 18.189237395909608\n ],\n [\n -65.99761962890625,\n 18.19282519773319\n ],\n [\n -65.99830627441406,\n 18.19576061703578\n ],\n [\n -66.0003662109375,\n 18.200652872686913\n ],\n [\n -66.00002288818358,\n 18.205218854047093\n ],\n [\n -65.99933624267578,\n 18.208480196039883\n ],\n [\n -66.00002288818358,\n 18.21141535162357\n ],\n [\n -65.99967956542967,\n 18.214350457738227\n ],\n [\n -66.00139617919922,\n 18.2166332838444\n ],\n [\n -66.00345611572266,\n 18.21826385559403\n ],\n [\n -66.00894927978516,\n 18.21956830199711\n ],\n [\n -66.0116958618164,\n 18.222177165476367\n ],\n [\n -66.01375579833984,\n 18.22739477511041\n ],\n [\n -66.01066589355469,\n 18.22935133838668\n ],\n [\n -66.00826263427734,\n 18.233264398922486\n ],\n [\n -66.00791931152342,\n 18.236525215453405\n ],\n [\n -66.00963592529297,\n 18.24141632559917\n ],\n [\n -66.01375579833984,\n 18.245655176416278\n ],\n [\n -66.01341247558594,\n 18.24793759172965\n ],\n [\n -66.0110092163086,\n 18.25087208165509\n ],\n [\n -66.01238250732422,\n 18.258371108503052\n ],\n [\n -66.01512908935545,\n 18.26326160374951\n ],\n [\n -66.01306915283203,\n 18.264239686269697\n ],\n [\n -66.00791931152342,\n 18.267173900767588\n ],\n [\n -66.00963592529297,\n 18.271086109608877\n ],\n [\n -66.00929260253906,\n 18.273368190705977\n ],\n [\n -66.00791931152342,\n 18.276628254494177\n ],\n [\n -66.01032257080078,\n 18.279236261417182\n ],\n [\n -66.01341247558594,\n 18.281518235308905\n ],\n [\n -66.016845703125,\n 18.282170222334766\n ],\n [\n -66.0171890258789,\n 18.284126168705537\n ],\n [\n -66.0230255126953,\n 18.286082093014507\n ],\n [\n -66.0274887084961,\n 18.288363976821937\n ],\n [\n -66.03057861328125,\n 18.291623758731014\n ],\n [\n -66.02886199951172,\n 18.295861383561334\n ],\n [\n -66.02714538574219,\n 18.29749121167395\n ],\n [\n -66.02954864501953,\n 18.298469101183045\n ],\n [\n -66.03092193603514,\n 18.30107677955731\n ],\n [\n -66.02954864501953,\n 18.30368441867933\n ],\n [\n -66.02645874023438,\n 18.304662273229386\n ],\n [\n -66.0226821899414,\n 18.30368441867933\n ],\n [\n -66.02130889892578,\n 18.30531417319567\n ],\n [\n -66.02474212646484,\n 18.307269858371694\n ],\n [\n -66.02714538574219,\n 18.310203344724197\n ],\n [\n -66.03023529052734,\n 18.31052928458448\n ],\n [\n -66.0336685180664,\n 18.309877404250322\n ],\n [\n -66.0391616821289,\n 18.311181162464266\n ],\n [\n -66.04328155517578,\n 18.312484910860487\n ],\n [\n -66.04671478271483,\n 18.309877404250322\n ],\n [\n -66.04705810546875,\n 18.308247692677657\n ],\n [\n -66.04637145996092,\n 18.30564012225866\n ],\n [\n -66.04602813720703,\n 18.30107677955731\n ],\n [\n -66.04568481445312,\n 18.29944698517295\n ],\n [\n -66.04877471923828,\n 18.299121024456245\n ],\n [\n -66.05117797851562,\n 18.303358465935858\n ],\n [\n -66.0549545288086,\n 18.303358465935858\n ],\n [\n -66.05770111083984,\n 18.302054648828193\n ],\n [\n -66.060791015625,\n 18.30107677955731\n ],\n [\n -66.0659408569336,\n 18.30270655860875\n ],\n [\n -66.07486724853516,\n 18.270760095573696\n ],\n [\n -66.0769271850586,\n 18.25771903206406\n ],\n [\n -66.07521057128906,\n 18.253480475537533\n ],\n [\n -66.0779571533203,\n 18.249567870028727\n ],\n [\n -66.08516693115234,\n 18.24239453111627\n ],\n [\n -66.08516693115234,\n 18.234242650301468\n ],\n [\n -66.0882568359375,\n 18.230981790974354\n ],\n [\n -66.09237670898438,\n 18.227068679091815\n ],\n [\n -66.09683990478516,\n 18.222177165476367\n ],\n [\n -66.10370635986328,\n 18.21695939941613\n ],\n [\n -66.10885620117186,\n 18.21337209453032\n ],\n [\n -66.11503601074219,\n 18.211089225668186\n ],\n [\n -66.11846923828125,\n 18.21043697192524\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559