Floodplain surface topography is an important component of floodplain ecosystems. It is the primary physical template upon which ecosystem processes are acted out, and complexity in this template can contribute to the high biodiversity and productivity of floodplain ecosystems. There has been a limited appreciation of floodplain surface complexity because of the traditional focus on temporal variability in floodplains as well as limitations to quantifying spatial complexity. An index of floodplain surface complexity (FSC) is developed in this paper and applied to eight floodplains from different geographic settings. The index is based on two key indicators of complexity, variability in surface geometry (VSG) and the spatial organisation of surface conditions (SPO), and was determined at three sampling scales. FSC, VSG, and SPO varied between the eight floodplains and these differences depended upon sampling scale. Relationships between these measures of spatial complexity and seven geomorphological and hydrological drivers were investigated. There was a significant decline in all complexity measures with increasing floodplain width, which was explained by either a power, logarithmic, or exponential function. There was an initial rapid decline in surface complexity as floodplain width increased from 1.5 to 5 km, followed by little change in floodplains wider than 10 km. VSG also increased significantly with increasing sediment yield. No significant relationships were determined between any of the four hydrological variables and floodplain surface complexity.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-20-431-2016","usgsCitation":"Scown, M.W., Thoms, M.C., and De Jager, N.R., 2016, An index of floodplain surface complexity: Hydrology and Earth System Sciences, v. 20, p. 431-441, https://doi.org/10.5194/hess-20-431-2016.","productDescription":"11 p.","startPage":"431","endPage":"441","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064127","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":471251,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-20-431-2016","text":"Publisher Index Page"},{"id":317895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-26","publicationStatus":"PW","scienceBaseUri":"56bc5f2de4b08d617f65ffe8","contributors":{"authors":[{"text":"Scown, Murray W.","contributorId":145709,"corporation":false,"usgs":false,"family":"Scown","given":"Murray","email":"","middleInitial":"W.","affiliations":[{"id":24492,"text":"Riverine Landscapes Research Laboratory, University of New England, Armidale, Australia","active":true,"usgs":false}],"preferred":false,"id":619713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thoms, Martin C. 0000-0002-8074-0476","orcid":"https://orcid.org/0000-0002-8074-0476","contributorId":145710,"corporation":false,"usgs":false,"family":"Thoms","given":"Martin","email":"","middleInitial":"C.","affiliations":[{"id":16205,"text":"Riverine Landscapes Research Laboratory, University of New England, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":619714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":619712,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173988,"text":"70173988 - 2016 - Regional monitoring programs in the United States: Synthesis of four case studies from Pacific, Atlantic, and Gulf Coasts","interactions":[],"lastModifiedDate":"2017-10-30T11:23:43","indexId":"70173988","displayToPublicDate":"2016-02-10T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5094,"text":"Regional Studies in Marine Science","onlineIssn":"2352-4855","active":true,"publicationSubtype":{"id":10}},"title":"Regional monitoring programs in the United States: Synthesis of four case studies from Pacific, Atlantic, and Gulf Coasts","docAbstract":"Water quality monitoring is a cornerstone of environmental protection and ambient monitoring provides managers with the critical data they need to take informed action. Unlike site-specific monitoring that is at the heart of regulatory permit compliance, regional monitoring can provide an integrated, holistic view of the environment, allowing managers to obtain a more complete picture of natural variability and cumulative impacts, and more effectively prioritize management actions. By reviewing four long-standing regional monitoring programs that cover portions of all three coasts in the United States – Chesapeake Bay, Tampa Bay, Southern California Bight, and San Francisco Bay – important insights can be gleaned about the benefits that regional monitoring provides to managers. These insights include the underlying reasons that make regional monitoring programs successful, the challenges to maintain relevance and viability in the face of ever-changing technology, competing demands and shifting management priorities. The lessons learned can help other managers achieve similar successes as they seek to establish and reinvigorate their own monitoring programs.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rsma.2015.11.007","usgsCitation":"Tango, P.J., Schiff, K., Trowbridge, P., Sherwood, E., and Batiuk, R., 2016, Regional monitoring programs in the United States: Synthesis of four case studies from Pacific, Atlantic, and Gulf Coasts: Regional Studies in Marine Science, v. 4, p. 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2016 - Antemortem detection of chronic wasting disease prions in nasal brush collections and rectal biopsies from white-tailed deer by real time quaking-induced conversion","interactions":[],"lastModifiedDate":"2016-06-14T15:20:19","indexId":"70173439","displayToPublicDate":"2016-02-10T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2218,"text":"Journal of Clinical Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Antemortem detection of chronic wasting disease prions in nasal brush collections and rectal biopsies from white-tailed deer by real time quaking-induced conversion","docAbstract":"Chronic wasting disease (CWD), a transmissible spongiform encephalopathy of cervids, was first documented nearly 50 years ago in Colorado and Wyoming and has since spread to cervids in 23 states, two Canadian provinces, and the Republic of Korea. The expansion of this disease makes the development of sensitive diagnostic assays and antemortem sampling techniques crucial for the mitigation of its spread; this is especially true in cases of relocation/reintroduction of farmed or free-ranging deer and elk or surveillance studies of private or protected herds, where depopulation is contraindicated. This study sought to evaluate the sensitivity of the real-time quaking-induced conversion (RT-QuIC) assay by using recto-anal mucosa-associated lymphoid tissue (RAMALT) biopsy specimens and nasal brush samples collected antemortem from farmed white-tailed deer (n = 409). Antemortem findings were then compared to results from ante- and postmortem samples (RAMALT, brainstem, and medial retropharyngeal lymph nodes) evaluated by using the current gold standard in vitro assay, immunohistochemistry (IHC) analysis. We hypothesized that the sensitivity of RT-QuIC would be comparable to IHC analysis in antemortem tissues and would correlate with both the genotype and the stage of clinical disease. Our results showed that RAMALT testing by RT-QuIC assay had the highest sensitivity (69.8%) compared to that of postmortem testing, with a specificity of >93.9%. These data suggest that RT-QuIC, like IHC analysis, is an effective assay for detection of PrPCWD in rectal biopsy specimens and other antemortem samples and, with further research to identify more sensitive tissues, bodily fluids, or experimental conditions, has potential for large-scale and rapid automated testing for CWD diagnosis.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JCM.02699-15","usgsCitation":"Haley, N.J., Siepker, C., Walter, W.D., Thomsen, B.V., Greenlee, J.J., Lehmkuhl, A.D., and Richt, J.A., 2016, Antemortem detection of chronic wasting disease prions in nasal brush collections and rectal biopsies from white-tailed deer by real time quaking-induced conversion: Journal of Clinical Microbiology, v. 54, no. 4, p. 1108-1116, https://doi.org/10.1128/JCM.02699-15.","productDescription":"9 p.","startPage":"1108","endPage":"1116","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069676","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471254,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jcm.02699-15","text":"Publisher Index Page"},{"id":323603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57612aade4b04f417c2ce46a","contributors":{"authors":[{"text":"Haley, Nicholas J.","contributorId":171814,"corporation":false,"usgs":false,"family":"Haley","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siepker, Chris","contributorId":171815,"corporation":false,"usgs":true,"family":"Siepker","given":"Chris","email":"","affiliations":[],"preferred":false,"id":638773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walter, W. David 0000-0003-3068-1073 wwalter@usgs.gov","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":5083,"corporation":false,"usgs":true,"family":"Walter","given":"W.","email":"wwalter@usgs.gov","middleInitial":"David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomsen, Bruce V.","contributorId":171816,"corporation":false,"usgs":false,"family":"Thomsen","given":"Bruce","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":638774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greenlee, Justin J.","contributorId":171817,"corporation":false,"usgs":false,"family":"Greenlee","given":"Justin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lehmkuhl, Aaron D.","contributorId":171818,"corporation":false,"usgs":false,"family":"Lehmkuhl","given":"Aaron","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richt, Jurgen a.","contributorId":171819,"corporation":false,"usgs":false,"family":"Richt","given":"Jurgen","email":"","middleInitial":"a.","affiliations":[],"preferred":false,"id":638777,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70168926,"text":"70168926 - 2016 - Asthenosphere–lithosphere interactions in Western Saudi Arabia: Inferences from 3He/4He in xenoliths and lava flows from Harrat Hutaymah","interactions":[],"lastModifiedDate":"2016-03-08T16:02:15","indexId":"70168926","displayToPublicDate":"2016-02-10T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2588,"text":"LITHOS","active":true,"publicationSubtype":{"id":10}},"title":"Asthenosphere–lithosphere interactions in Western Saudi Arabia: Inferences from 3He/4He in xenoliths and lava flows from Harrat Hutaymah","docAbstract":"Extensive volcanic fields on the western Arabian Plate have erupted intermittently over the last 30 Ma following emplacement of the Afar flood basalts in Ethiopia. In an effort to better understand the origin of this volcanism in western Saudi Arabia, we analyzed3He/4He, and He, CO2 and trace element concentrations in minerals separated from xenoliths and lava flows from Harrat Hutaymah, supplemented with reconnaissance He isotope data from several other volcanic fields (Harrat Al Birk, Harrat Al Kishb and Harrat Ithnayn). Harrat Hutaymah is young (< 850 ka) and the northeasternmost of the volcanic fields. There is a remarkable homogeneity of 3He/4He trapped within most xenoliths, with a weighted mean of 7.54 ± 0.03 RA (2σ, n = 20). This homogeneity occurs over at least eight different xenolith types (including spinel lherzolite, amphibole clinopyroxenite, olivine websterite, clinopyroxenite and garnet websterite), and encompasses ten different volcanic centers within an area of ~ 2500 km2. The homogeneity is caused by volatile equilibration between the xenoliths and fluids derived from their host magma, as fluid inclusions are annealed during the infiltration of vapor-saturated magmas along crystalline grain boundaries. The notable exceptions are the anhydrous spinel lherzolites, which have a lower weighted mean 3He/4He of 6.8 ± 0.3 RA (2σ, n = 2), contain lower concentrations of trapped He, and have a distinctly depleted light rare earth element signature. 3He/4He values of ~ 6.8 RA are also commonly found in spinel lherzolites from harrats Ithnayn, Al Birk, and from Zabargad Island in the Red Sea. Olivine from non-xenolith-bearing lava flows at Hutaymah spans the He isotope range of the xenoliths. The lower 3He/4He in the anhydrous spinel lherzolites appears to be tied to remnant Proterozoic lithosphere prior to metasomatic fluid overprinting.
\nElevated 3He/4He in the western harrats has been observed only at Rahat (up to 11.8 RA; Murcia et al., 2013), a volcanic field situated above thinned lithosphere beneath the Makkah-Medinah-Nafud volcanic lineament. Previous work established that spinel lherzolites at Hutaymah are sourced near the lithosphere-asthenosphere boundary (LAB), while other xenolith types there are derived from shallower depths within the lithosphere itself (Thornber, 1992). Helium isotopes are consistent with melts originating near the LAB beneath many of the Arabian harrats, and any magma derived from the Afar mantle plume currently appears to be of minor importance.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.lithos.2016.01.031","usgsCitation":"Konrad, K., Graham, D.W., Thornber, C., Duncan, R.A., Kent, A., and Al-Amri, A., 2016, Asthenosphere–lithosphere interactions in Western Saudi Arabia: Inferences from 3He/4He in xenoliths and lava flows from Harrat Hutaymah: LITHOS, v. 248-251, p. 339-352, https://doi.org/10.1016/j.lithos.2016.01.031.","productDescription":"14 p.","startPage":"339","endPage":"352","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070268","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471252,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.lithos.2016.01.031","text":"Publisher Index Page"},{"id":318695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saudi Arabia, Yemen","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 34.62890625,\n 28.14950321154457\n ],\n [\n 39.63867187499999,\n 30.29701788337205\n ],\n [\n 48.9990234375,\n 14.179186142354181\n ],\n [\n 43.59375,\n 12.46876014482322\n ],\n [\n 34.62890625,\n 28.14950321154457\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"248-251","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56e005c1e4b015c306fd0ef3","contributors":{"authors":[{"text":"Konrad, Kevin","contributorId":167397,"corporation":false,"usgs":false,"family":"Konrad","given":"Kevin","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":622137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, David W.","contributorId":167398,"corporation":false,"usgs":false,"family":"Graham","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":622138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thornber, Carl 0000-0002-6382-4408 cthornber@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-4408","contributorId":167396,"corporation":false,"usgs":true,"family":"Thornber","given":"Carl","email":"cthornber@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":622136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duncan, Robert A.","contributorId":167399,"corporation":false,"usgs":false,"family":"Duncan","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":622139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kent, Adam J. R.","contributorId":99842,"corporation":false,"usgs":true,"family":"Kent","given":"Adam J. R.","affiliations":[],"preferred":false,"id":622140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Al-Amri, Abdulla","contributorId":167400,"corporation":false,"usgs":false,"family":"Al-Amri","given":"Abdulla","affiliations":[{"id":24707,"text":"King Saud University, Riyahd, KSA","active":true,"usgs":false}],"preferred":false,"id":622141,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173600,"text":"70173600 - 2016 - Predicting the risk of toxic blooms of golden alga from cell abundance and environmental covariates","interactions":[],"lastModifiedDate":"2016-06-10T14:59:45","indexId":"70173600","displayToPublicDate":"2016-02-09T09:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2622,"text":"Limnology and Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the risk of toxic blooms of golden alga from cell abundance and environmental covariates","docAbstract":"Golden alga (Prymnesium parvum) is a toxic haptophyte that has caused considerable ecological damage to marine and inland aquatic ecosystems worldwide. Studies focused primarily on laboratory cultures have indicated that toxicity is poorly correlated with the abundance of golden alga cells. This relationship, however, has not been rigorously evaluated in the field where environmental conditions are much different. The ability to predict toxicity using readily measured environmental variables and golden alga abundance would allow managers rapid assessments of ichthyotoxicity potential without laboratory bioassay confirmation, which requires additional resources to accomplish. To assess the potential utility of these relationships, several a priori models relating lethal levels of golden alga ichthyotoxicity to golden alga abundance and environmental covariates were constructed. Model parameters were estimated using archived data from four river basins in Texas and New Mexico (Colorado, Brazos, Red, Pecos). Model predictive ability was quantified using cross-validation, sensitivity, and specificity, and the relative ranking of environmental covariate models was determined by Akaike Information Criterion values and Akaike weights. Overall, abundance was a generally good predictor of ichthyotoxicity as cross validation of golden alga abundance-only models ranged from ∼ 80% to ∼ 90% (leave-one-out cross-validation). Environmental covariates improved predictions, especially the ability to predict lethally toxic events (i.e., increased sensitivity), and top-ranked environmental covariate models differed among the four basins. These associations may be useful for monitoring as well as understanding the abiotic factors that influence toxicity during blooms.
","language":"English","publisher":"Wiley","doi":"10.1002/lom3.10048","usgsCitation":"Patino, R., VanLandeghem, M.M., and Denny, S., 2016, Predicting the risk of toxic blooms of golden alga from cell abundance and environmental covariates: Limnology and Oceanography: Methods, v. 13, no. 10, p. 568-586, https://doi.org/10.1002/lom3.10048.","productDescription":"18 p.","startPage":"568","endPage":"586","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053132","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.10048","text":"Publisher Index Page"},{"id":323461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Colorado River Basin, Brazos River Basin, Red River Basin, Pecos River 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Shawn","contributorId":145738,"corporation":false,"usgs":false,"family":"Denny","given":"Shawn","email":"","affiliations":[],"preferred":false,"id":638471,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70164478,"text":"70164478 - 2016 - Aerobic biodegradation potential of endocrine disrupting chemicals in surface-water sediment at Rocky Mountains National Park, USA","interactions":[],"lastModifiedDate":"2018-08-09T12:08:22","indexId":"70164478","displayToPublicDate":"2016-02-08T09:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1529,"text":"Environmental Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Aerobic biodegradation potential of endocrine disrupting chemicals in surface-water sediment at Rocky Mountains National Park, USA","docAbstract":"Endocrine disrupting chemicals (EDC) in surface water and bed sediment threaten the structure and function of aquatic ecosystems. In natural, remote, and protected surface-water environments where contaminant releases are sporadic, contaminant biodegradation is a fundamental driver of exposure concentration, timing, duration, and, thus, EDC ecological risk. Anthropogenic contaminants, including known and suspected EDC, were detected in surface water and sediment collected from 2 streams and 2 lakes in Rocky Mountains National Park (ROMO). The potential for aerobic EDC biodegradation was assessed in collected sediments using 6 14C-radiolabeled model compounds. Aerobic microbial mineralization of natural (estrone and 17β-estradiol) and synthetic (17α-ethinylestradiol) estrogen was significant at all sites. ROMO bed sediment microbial communities also effectively degraded the xenoestrogens, bisphenol-A and 4-nonylphenol. The same sediment samples exhibited little potential for aerobic biodegradation of triclocarban, however, illustrating the need to assess a wider range of contaminant compounds. The current results support recent concerns over the widespread environmental occurrence of carbanalide antibacterials, like triclocarban and triclosan, and suggest that backcountry use of products containing these compounds should be discouraged.
","language":"English","publisher":"Wiley, Inc.","doi":"10.1002/etc.3266","usgsCitation":"Bradley, P.M., Battaglin, W.A., Iwanowicz, L., Clark, J.M., and Journey, C.A., 2016, Aerobic biodegradation potential of endocrine disrupting chemicals in surface-water sediment at Rocky Mountains National Park, USA: Environmental Chemistry, v. 35, no. 5, p. 1087-1096, https://doi.org/10.1002/etc.3266.","productDescription":"10 p.","startPage":"1087","endPage":"1096","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067297","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":316641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rocky Mountain National Park","volume":"35","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-20","publicationStatus":"PW","scienceBaseUri":"56b9bc28e4b08d617f63a7df","chorus":{"doi":"10.1002/etc.3266","url":"http://dx.doi.org/10.1002/etc.3266","publisher":"Wiley-Blackwell","authors":"Bradley Paul M., Battaglin William A., Iwanowicz Luke R., Clark Jimmy M., Journey Celeste A.","journalName":"Environmental Toxicology and Chemistry","publicationDate":"3/15/2016","auditedOn":"4/19/2016"},"contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":150383,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R. ","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":597546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Jimmy M. 0000-0002-3138-5738 jmclark@usgs.gov","orcid":"https://orcid.org/0000-0002-3138-5738","contributorId":4773,"corporation":false,"usgs":true,"family":"Clark","given":"Jimmy","email":"jmclark@usgs.gov","middleInitial":"M.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":597548,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70164477,"text":"70164477 - 2016 - Spatial and temporal variation in microcystins occurrence in wadeable streams in the southeastern USA","interactions":[],"lastModifiedDate":"2018-08-07T12:32:00","indexId":"70164477","displayToPublicDate":"2016-02-08T09:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variation in microcystins occurrence in wadeable streams in the southeastern USA","docAbstract":"Despite historical observations of potential microcystin-producing cyanobacteria (including Leptolyngbya,Phormidium, Pseudoanabaena, and Anabaena species) in 74% of headwater streams in Alabama, Georgia, South Carolina, and North Carolina (USA) from 1993 to 2011, fluvial cyanotoxin occurrence has not been systematically assessed in the southeastern United States. To begin to address this data gap, a spatial reconnaissance of fluvial microcystin concentrations was conducted in 75 wadeable streams in the Piedmont region (southeastern USA) during June 2014. Microcystins were detected using enzyme-linked immunosorbent assay (limit = 0.10 µg/L) in 39% of the streams with mean, median, and maximum detected concentrations of 0.29 µg/L, 0.11 µg/L, and 3.2 µg/L, respectively. Significant (α = 0.05) correlations were observed between June 2014 microcystin concentrations and stream flow, total nitrogen to total phosphorus ratio, and water temperature; but each of these factors explained 38% or less of the variability in fluvial microcystins across the region. Temporal microcystin variability was assessed monthly through October 2014 in 5 of the streams where microcystins were observed in June and in 1 reference location; microcystins were repeatedly detected in all but the reference stream. Although microcystin concentrations in the present study did not exceed World Health Organization recreational guidance thresholds, their widespread occurrence demonstrates the need for further investigation of possible in-stream environmental health effects as well as potential impacts on downstream lakes and reservoirs. Environ Toxicol Chem 2016;9999:1–7. Published 2016 Wiley Periodicals Inc. on behalf of SETAC. This article is a US Government work and, as such, is in the public domain in the United States of America.
","language":"English","publisher":"Wiley, Inc.","doi":"10.1002/etc.3391","usgsCitation":"Loftin, K.A., Clark, J.M., Journey, C.A., Kolpin, D.W., Van Metre, P., and Bradley, P.M., 2016, Spatial and temporal variation in microcystins occurrence in wadeable streams in the southeastern USA: Environmental Toxicology and Chemistry, v. 35, no. 9, p. 2281-2287, https://doi.org/10.1002/etc.3391.","productDescription":"7 p.","startPage":"2281","endPage":"2287","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069266","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":438637,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VQ30RM","text":"USGS data release","linkHelpText":"Periphyton (1993-2011) and Water Quality (2014) Data for ET&C Article Entitled Spatial and Temporal Variation in Microcystins Occurrence in Wadeable Streams in the Southeastern USA"},{"id":316642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, Maryland, North Carolina, South Carolina, Virginia","city":"Atlanta, Charlotte, Raleigh/Durham, Washington D.C.","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.7724609375,\n 38.95940879245423\n ],\n [\n -76.46484375,\n 38.61687046392973\n ],\n [\n -76.5087890625,\n 37.96152331396616\n ],\n [\n -77.9150390625,\n 36.421282443649496\n ],\n [\n -78.75,\n 35.24561909420681\n ],\n [\n -80.2880859375,\n 34.415973384481866\n ],\n [\n -82.001953125,\n 33.7243396617476\n ],\n [\n -84.3310546875,\n 33.211116472416855\n ],\n [\n -86.572265625,\n 33.02708758002871\n ],\n [\n -87.6708984375,\n 33.137551192346145\n ],\n [\n 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cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":597541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":597543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597538,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70169886,"text":"70169886 - 2016 - Chaparral","interactions":[],"lastModifiedDate":"2016-04-06T15:31:06","indexId":"70169886","displayToPublicDate":"2016-02-08T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chaparral","docAbstract":"One of the most dynamic California ecosystems is chaparral. Dominated by evergreen, sclerophyllous shrubs and small trees, chaparral is the most extensive vegetation type in the state (Figure 1). The nearly impenetrable tangle of stiff branches of this unusual vegetation inhibits exploration, and as a consequence the public know little about its natural history and unique characteristics. This under-valued ecosystem is recognized instead by the threat of its extensive, high-intensity canopy-burning wildfires that characterize the dry summer and fall seasons of the state. Because urban areas frequently share borders or intermix with chaparral, societal interests often conflict with conservation of this ecosystem, and understanding its history and dynamics are a key to appreciating its importance.
In this chapter we emphasize the principal structure and dynamics of this important ecosystem. The long summer rainless period has strong impacts on all organisms and, importantly, the droughts influence the fire regime that characterizes chaparral. An ecosystem currently characterized by a specific drought and wildfire regime can expect significant impacts from climate change. Because of its dominance at lower elevations, chaparral also is frequently found at or near the boundaries of urban developments and metropolitan centers. Attempts to suppress fire also affect chaparral dynamics in the long absence of fire. The conflicts between the impacts of chaparral wildfire and human life and structures has been an aspect of California’s history since the beginning, but as development encroaches ever more into chaparral regions, the conflicts have increased. Consequently, understanding this vegetation is important not only because of its significance in understanding ecological evolution and the ecological services provided by chaparral, but also because of its direct impacts on human settlements.
Diamondback terrapins (Malaclemys terrapin) are currently in decline across much of their historical range, and demographic data on a regional scale are needed to identify where their populations are at greatest risk. Because terrapins residing in salt marshes are difficult to capture, we designed a cylindrical bait trap (CBT) that could be deployed in shallow tidal waters. From 2003 to 2006, trials were conducted with CBTs in the Chesapeake Bay, Maryland (USA) to determine terrapin sex, size, and age distribution within 3 salt marsh interior habitats—open bays, tidal guts, and broken marshes—using 15 traps/habitat. Analyses based on 791 total captures with CBTs indicate that smaller terrapins, (i.e., adult male and subadult) were more prevalent within the transecting tidal guts and broken marshes, whereas the adult females were more evenly distributed among habitats, including open bays. Subadult females made up the largest percent of catch in the CBTs deployed within the 3 marsh interior habitats. During a 12-day trial in which we compared capture performance of CBTs and modified fyke nets along open shorelines during the nesting season, fyke nets outperformed CBTs by accounting for 95.2% of the 604 terrapin captures. Although the long drift leads of the fyke nets proved more effective for intercepting along-shore travel of adult female terrapins during the nesting season, CBTs provided a more effective means of live-trapping terrapins within the shallow interior marshes.
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P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":625871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haramis, G. Michael mharamis@usgs.gov","contributorId":4001,"corporation":false,"usgs":true,"family":"Haramis","given":"G. 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Sparse study has been devoted to understanding the influence of waterfowl and wetland management on production of invertebrates for waterfowl foods; however, manipulation of hydrology and soils may change or enhance production. Fish can compete with waterfowl for invertebrate forage in wetlands and harm aquatic macrophytes; biomanipulation (e.g., stocking piscivores) may improve waterfowl habitat quality. Similarly, some terrestrial vertebrates (e.g., beaver (Castor canadensis)) may positively or negatively impact invertebrate communities in waterfowl habitats. Various challenges exist to wetland management for invertebrates for waterfowl, but the lack of data on factors influencing production may be the most limiting.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Invertebrates in freshwater wetlands: an international perspective on their ecology","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-24978-0","usgsCitation":"Stafford, J.D., Janke, A.K., Webb, E.B., and Chipps, S.R., 2016, Invertebrates in managed waterfowl marshes, chap. of Invertebrates in freshwater wetlands: an international perspective on their ecology, p. 565-600, https://doi.org/10.1007/978-3-319-24978-0.","productDescription":"36 p.","startPage":"565","endPage":"600","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066622","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb1e4b07657d1a90cd5","contributors":{"authors":[{"text":"Stafford, Joshua D. jstafford@usgs.gov","contributorId":4267,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":640985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janke, Adam K. 0000-0003-2781-7857","orcid":"https://orcid.org/0000-0003-2781-7857","contributorId":130959,"corporation":false,"usgs":false,"family":"Janke","given":"Adam","email":"","middleInitial":"K.","affiliations":[{"id":7176,"text":"Dept of Natl Res Mgmt, SDSU, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":641116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":641117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":641118,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168669,"text":"70168669 - 2016 - Dissolved gases in hydrothermal (phreatic) and geyser eruptions at Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2019-02-01T16:14:36","indexId":"70168669","displayToPublicDate":"2016-02-05T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved gases in hydrothermal (phreatic) and geyser eruptions at Yellowstone National Park, USA","docAbstract":"Multiphase and multicomponent fluid flow in the shallow continental crust plays a significant role in a variety of processes over a broad range of temperatures and pressures. The presence of dissolved gases in aqueous fluids reduces the liquid stability field toward lower temperatures and enhances the explosivity potential with respect to pure water. Therefore, in areas where magma is actively degassing into a hydrothermal system, gas-rich aqueous fluids can exert a major control on geothermal energy production, can be propellants in hazardous hydrothermal (phreatic) eruptions, and can modulate the dynamics of geyser eruptions. We collected pressurized samples of thermal water that preserved dissolved gases in conjunction with precise temperature measurements with depth in research well Y-7 (maximum depth of 70.1 m; casing to 31 m) and five thermal pools (maximum depth of 11.3 m) in the Upper Geyser Basin of Yellowstone National Park, USA. Based on the dissolved gas concentrations, we demonstrate that CO2 mainly derived from magma and N2 from air-saturated meteoric water reduce the near-surface saturation temperature, consistent with some previous observations in geyser conduits. Thermodynamic calculations suggest that the dissolved CO2 and N2 modulate the dynamics of geyser eruptions and are likely triggers of hydrothermal eruptions when recharged into shallow reservoirs at high concentrations. Therefore, monitoring changes in gas emission rate and composition in areas with neutral and alkaline chlorine thermal features could provide important information on the natural resources (geysers) and hazards (eruptions) in these areas.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G37478.1","usgsCitation":"Hurwitz, S., Clor, L., McCleskey, R.B., Nordstrom, D.K., Hunt, A.G., and Evans, W.C., 2016, Dissolved gases in hydrothermal (phreatic) and geyser eruptions at Yellowstone National Park, USA: Geology, v. 44, no. 3, p. 235-238, https://doi.org/10.1130/G37478.1.","productDescription":"4 p.","startPage":"235","endPage":"238","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072475","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":318362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","volume":"44","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-05","publicationStatus":"PW","scienceBaseUri":"56cee25ce4b015c306ec5ea7","contributors":{"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":621227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clor, Laura 0000-0003-2633-5100 lclor@usgs.gov","orcid":"https://orcid.org/0000-0003-2633-5100","contributorId":150878,"corporation":false,"usgs":false,"family":"Clor","given":"Laura","email":"lclor@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":621257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":621258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":621259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":621260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":621261,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70161832,"text":"sir20155188 - 2016 - Water balance monitoring for two bioretention gardens in Omaha, Nebraska, 2011–14","interactions":[],"lastModifiedDate":"2016-02-08T08:27:29","indexId":"sir20155188","displayToPublicDate":"2016-02-05T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5188","title":"Water balance monitoring for two bioretention gardens in Omaha, Nebraska, 2011–14","docAbstract":"Bioretention gardens are used to help mitigate stormwater runoff in urban settings in an attempt to restore the hydrologic response of the developed land to a natural predevelopment response in which more water is infiltrated rather than routed directly to urban drainage networks. To better understand the performance of bioretention gardens in facilitating infiltration of stormwater in eastern Nebraska, the U.S. Geological Survey, in cooperation with the Douglas County Environmental Services and the Nebraska Environmental Trust, assessed the water balance of two bioretention gardens located in Omaha, Nebraska by monitoring the amount of stormwater entering and leaving the gardens. One garden is on the Douglas County Health Center campus, and the other garden is on the property of the Eastern Nebraska Office on Aging.
For the Douglas County Health Center, bioretention garden performance was evaluated on the basis of volume reduction by comparing total inflow volume to total outflow volume. The bioretention garden reduced inflow volumes from a minimum of 33 percent to 100 percent (a complete reduction in inflow volume) depending on the size of the event. Although variable, the percent reduction of the inflow volume tended to decrease with increasing total event rainfall. To assess how well the garden reduces stormwater peak inflow rates, peak inflows were plotted against peak outflows measured at the bioretention garden. Only 39 of the 255 events had any overflow, indicating 100 percent peak reduction in the other events. Of those 39 events having overflow, the mean peak reduction was 63 percent.
No overflow events were recorded at the bioretention garden at the Eastern Nebraska Office on Aging; therefore, data were not available for an event-based overflow analysis.Monitoring period summary of the water balance at both bio-retention gardens indicates that most of the stormwater in the bioretention gardens is stored in the subsurface.
Evapotranspiration was attributed to a small percentage of the outputs on an annual basis (3 percent at Douglas County Health Center site and 5 percent at Eastern Nebraska Office onAging site), which indicates that vegetative water uptake is not a primary factor in the water budget.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155188","collaboration":"Prepared in cooperation with Douglas County Environmental Services and the Nebraska Environmental Trust","usgsCitation":"Strauch, K.R., Rus, D.L., Holm, K.E., 2016, Water balance monitoring for two bioretention gardens in Omaha, Nebraska, 2011–14, U.S. Geological Survey Scientific Investigation Report 2015–5188, 19 p., https://dx.doi.org/10.3133/sir20155188.","productDescription":"vi, 19 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066874","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":438638,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TS1H1R","text":"USGS data release","linkHelpText":"Water Balance Monitoring Data for Two Biorentention Gardens in Omaha, Nebraska 2011-17"},{"id":315021,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5188/coverthb.jpg"},{"id":315022,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5188/sir20155188.pdf","text":"Report","size":"3.62 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5188"}],"country":"United States","state":"Nebraska","county":"Douglas County","city":"Omaha","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96,\n 41.2\n ],\n [\n -96,\n 41.3\n ],\n [\n -95.9,\n 41.3\n ],\n [\n -95.9,\n 41.2\n ],\n [\n -96,\n 41.2\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, USGS Nebraska Water Science Center
5231 South 19th Street
Lincoln, Nebraska 68512
Passage performance of brown trout (Salmo trutta), Iberian barbel (Luciobarbus bocagei), and northern straight-mouth nase (Pseudochondrostoma duriense) was investigated in a vertical slot fishway in the Porma River (Duero River basin, Spain) using PIT telemetry. We analysed the effects of different fishway discharges on motivation and passage success. Both cyprinid species ascended the fishway easily, performing better than the trout despite their theoretically weaker swimming performance. Fishway discharge affected fish motivation although it did not clearly influence passage success. Observed results can guide design and operation criteria of vertical slot fishways for native Iberian fish.
","language":"English","publisher":"EDP Sciences","publisherLocation":"Les Ulis, France","doi":"10.1051/kmae/2015043","usgsCitation":"Sanz-Ronda, F.J., Bravo-Cordoba, F., Fuentes-Perez, J., and Castro-Santos, T.R., 2016, Ascent ability of brown trout, Salmo trutta, and two Iberian cyprinids − Iberian barbel, Luciobarbus bocagei, and northern straight-mouth nase, Pseudochondrostoma duriense − in a vertical slot fishway: Knowledge and Management of Aquatic Ecosystems, v. 417, no. 10, 9 p., https://doi.org/10.1051/kmae/2015043.","productDescription":"9 p.","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066020","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":471256,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1051/kmae/2015043","text":"Publisher Index Page"},{"id":319898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","county":"Castilla y León region","otherGeospatial":"Porma River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -5.381755828857422,\n 42.675494443387045\n ],\n [\n -5.381755828857422,\n 42.69136285031433\n ],\n [\n -5.352959632873535,\n 42.69136285031433\n ],\n [\n -5.352959632873535,\n 42.675494443387045\n ],\n [\n -5.381755828857422,\n 42.675494443387045\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"417","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-05","publicationStatus":"PW","scienceBaseUri":"572485bbe4b0b13d3915932e","contributors":{"authors":[{"text":"Sanz-Ronda, Fco. Javier","contributorId":168519,"corporation":false,"usgs":false,"family":"Sanz-Ronda","given":"Fco.","email":"","middleInitial":"Javier","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":626252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bravo-Cordoba, F.J.","contributorId":168520,"corporation":false,"usgs":false,"family":"Bravo-Cordoba","given":"F.J.","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":626253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuentes-Perez, J.F.","contributorId":168521,"corporation":false,"usgs":false,"family":"Fuentes-Perez","given":"J.F.","email":"","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":626254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":626251,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70161893,"text":"sir20165002 - 2016 - Sediment loads and transport at constructed chutes along the Missouri River - Upper Hamburg Chute near Nebraska City, Nebraska, and Kansas Chute near Peru, Nebraska","interactions":[],"lastModifiedDate":"2016-02-04T11:50:10","indexId":"sir20165002","displayToPublicDate":"2016-02-04T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5002","title":"Sediment loads and transport at constructed chutes along the Missouri River - Upper Hamburg Chute near Nebraska City, Nebraska, and Kansas Chute near Peru, Nebraska","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, monitored suspended sediment within constructed Missouri River chutes during March through October 2012. Chutes were constructed at selected river bends by the U.S. Army Corps of Engineers to help mitigate aquatic habitat lost through the creation and maintenance of the navigation channel on the Missouri River. The restoration and development of chutes is one method for creating shallow-water habitat within the Missouri River to meet requirements established by the amended 2000 Biological Opinion. Understanding geomorphic channel-evolution processes and sediment transport is important for the design of chutes, monitoring and maintenance of existing chutes, and characterizing the habitat that the chutes provide. This report describes the methods used to monitor suspended sediment at two Missouri River chutes and presents the results of the data analysis to help understand the suspended-sediment characteristics of each chute and the effect the chutes have on the Missouri River. Upper Hamburg chute, near Nebraska City, Nebraska, and Kansas chute, near Peru, Nebraska, were selected for monitoring. At each study site, monthly discrete samples were collected from April through October in the Missouri River main-channel transects upstream from the chute inlet, downstream from the chute outlet, at the outlet (downstream transect) of both chutes, and at the inlet (upstream transect) of Kansas chute. In addition, grab samples from all chute sampling locations were collected using autosamplers. Suspended-sediment concentration (SSC) and grain-size metrics were determined for all samples (discrete and grab). Continuous water-quality monitors recorded turbidity and water temperature at 15-minute intervals at the three chute sampling locations. Two acoustic Doppler velocimeters, one within each chute, measured water depth and current velocities continuously. The depth and velocity data were used to estimate streamflow within each chute. The sampling design was developed to understand the suspended-sediment differences within each chute and between the chute and the Missouri River main channel during discrete sampling. The sampling design also allowed for site-specific surrogate relations between SSC and turbidity to be developed, which could be used to compute real-time estimates of SSC and sediment loads within the chutes. Real-time estimates of SSC and sediment loads enable a better understanding of sediment transport within the chutes during times when physical samples are not collected, including periods of high flow.
\nHigh flows during the summer of 2011 resulted in substantial alterations to both studied chutes; therefore, the U.S. Army Corps of Engineers repaired and modified both chutes during 2012. These unforeseen repairs and modifications within the chutes added uncertainty to the analysis because concentrations were altered by construction equipment and flow alteration.
\nDaily suspended-sediment and suspended-silt loads were estimated based on surrogate relations with turbidity. A linear regression was used to estimate equal-width increment (EWI)-equivalent SSC from autosampler SSC before using the model-calibration dataset to determine the best-fit model for prediction of SSC from the turbidity and, in some cases, discharge. Correlation between suspended-sand concentration (SSandC) in EWI samples and concurrent samples collected by an autosampler was low; therefore, SSandC was excluded from development of surrogate relations because a large part of the calibration dataset was from autosamples. Instead, SSandC was estimated as SSC minus suspended-silt-clay concentration (SSiltC). At all sites, the best-fit models included the base-10 logarithm of concentration and turbidity, and at Kansas chute upstream, the base-10 logarithm of streamflow was also included in the best-fit models. These surrogate models were used to estimate continuous time series of SSC and SSiltC. Estimated concentrations of suspended sediment were used to estimate instantaneous and daily loads for total suspended sediment, suspended silt-clay, and suspended sand. Estimated daily suspended-sediment loads were not significantly different between upstream and downstream transects within the Kansas chute, and most individual daily loads within the chute were not significantly different between upstream and downstream transects when evaluated using overlap in daily 95-percent confidence intervals. The comparison of daily load values for upstream and downstream chute transects, as estimated from turbidity-based surrogate models for Kansas chute, documents the daily dynamic nature of sediment transport within the chute with a temporal resolution that is not practical with discrete suspended-sediment sampling alone.
\nComparisons of concentrations and loads from EWI samples collected from different transects within a study site resulted in few significant differences, but comparisons are limited by small sample sizes and large within-transect variability. When comparing the Missouri River upstream transect to the chute inlet transect, similar results were determined in 2012 as were determined in 2008—the chute inlet affected the amount of sediment entering the chute from the main channel. In addition, the Kansas chute is potentially affecting the sediment concentration within the Missouri River main channel, but small sample size and construction activities within the chute limit the ability to fully understand either the effect of the chute in 2012 or the effect of the chute on the main channel during a year without construction. Finally, some differences in SSC were detected between the Missouri River upstream transects and the chute downstream transects; however, the effect of the chutes on the Missouri River main-channel sediment transport was difficult to isolate because of construction activities and sampling variability.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165002","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Omaha District","usgsCitation":"Densmore, B.K., Rus, D.L., Moser, M.T., Hall, B.M., and Andersen, M.J., 2016, Sediment loads and transport at constructed chutes along the Missouri River—Upper Hamburg chute near Nebraska City, Nebraska, and Kansas chute near Peru, Nebraska, 2012: U.S. Geological Survey Scientific Investigations Report 2016–5002, 47 p. https://dx.doi.org/10.3133/sir20165002.","productDescription":"vii, 47 p.","numberOfPages":"60","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064671","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":316553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5002/coverthb.jpg"},{"id":316554,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5002/sir20165002.pdf","text":"Report","size":"20.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5002"}],"country":"United States","state":"Nebraska","city":"Nebraska City, Peru","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 -95.78601837158203,\n 40.564937785967224\n ],\n [\n -95.78601837158203,\n 40.61681920737131\n ],\n [\n -95.74241638183592,\n 40.61681920737131\n ],\n [\n -95.74241638183592,\n 40.564937785967224\n ],\n [\n -95.78601837158203,\n 40.564937785967224\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.73881149291991,\n 40.513277131087484\n ],\n [\n -95.73881149291991,\n 40.53050177574321\n ],\n [\n -95.70259094238281,\n 40.53050177574321\n ],\n [\n -95.70259094238281,\n 40.513277131087484\n ],\n [\n -95.73881149291991,\n 40.513277131087484\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, USGS Nebraska Water Science Center
5231 South 19th Street
Lincoln, NE 68512
Hydrodynamic connectivity describes the sources and destinations of water parcels within a domain over a given time. When combined with biological models, it can be a powerful concept to explain the patterns of constituent dispersal within marine ecosystems. However, providing connectivity metrics for a given domain is a three-dimensional problem: two dimensions in space to define the sources and destinations and a time dimension to evaluate connectivity at varying temporal scales. If the time scale of interest is not predefined, then a general approach is required to describe connectivity over different time scales. For this purpose, we have introduced the concept of a “retention clock” that highlights the change in connectivity through time. Using the example of connectivity between protected areas within Barnegat Bay, New Jersey, we show that a retention clock matrix is an informative tool for multitemporal analysis of connectivity.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL066888","usgsCitation":"Defne, Z., Ganju, N.K., and Aretxabaleta, A., 2016, Estimating time-dependent connectivity in marine systems: Geophysical Research Letters, v. 43, no. 3, p. 1193-1201, https://doi.org/10.1002/2015GL066888.","productDescription":"9 p.","startPage":"1193","endPage":"1201","ipdsId":"IP-068617","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471257,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl066888","text":"Publisher Index Page"},{"id":328842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-04","publicationStatus":"PW","scienceBaseUri":"57f7c6cfe4b0bc0bec09cb72","contributors":{"authors":[{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":174763,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil","email":"nganju@usgs.gov","middleInitial":"K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":649216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649217,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70164413,"text":"70164413 - 2016 - Dietary uptake of Cu sorbed to hydrous iron oxide is linked to cellular toxicity and feeding inhibition in a benthic grazer","interactions":[],"lastModifiedDate":"2018-08-07T12:09:29","indexId":"70164413","displayToPublicDate":"2016-02-03T15:30:00","publicationYear":"2016","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":"Dietary uptake of Cu sorbed to hydrous iron oxide is linked to cellular toxicity and feeding inhibition in a benthic grazer","docAbstract":"Whereas feeding inhibition caused by exposure to contaminants has been extensively documented, the underlying mechanism(s) are less well understood. For this study, the behavior of several key feeding processes, including ingestion rate and assimilation efficiency, that affect the dietary uptake of Cu were evaluated in the benthic grazer Lymnaea stagnalis following 4–5 h exposures to Cu adsorbed to synthetic hydrous ferric oxide (Cu–HFO). The particles were mixed with a cultured alga to create algal mats with Cu exposures spanning nearly 3 orders of magnitude at variable or constant Fe concentrations, thereby allowing first order and interactive effects of Cu and Fe to be evaluated. Results showed that Cu influx rates and ingestion rates decreased as Cu exposures of the algal mat mixture exceeded 104 nmol/g. Ingestion rate appeared to exert primary control on the Cu influx rate. Lysosomal destabilization rates increased directly with Cu influx rates. At the highest Cu exposure where the incidence of lysosomal membrane damage was greatest (51%), the ingestion rate was suppressed 80%. The findings suggested that feeding inhibition was a stress response emanating from excessive uptake of dietary Cu and cellular toxicity.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5b04755","usgsCitation":"Cain, D.J., Croteau, M.N., Fuller, C.C., and Ringwood, A.H., 2016, Dietary uptake of Cu sorbed to hydrous iron oxide is linked to cellular toxicity and feeding inhibition in a benthic grazer: Environmental Science & Technology, v. 50, no. 3, p. 1552-1560, https://doi.org/10.1021/acs.est.5b04755.","productDescription":"9 p.","startPage":"1552","endPage":"1560","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071269","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":316542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-13","publicationStatus":"PW","scienceBaseUri":"56b324aae4b0cc79997f04da","chorus":{"doi":"10.1021/acs.est.5b04755","url":"http://dx.doi.org/10.1021/acs.est.5b04755","publisher":"American Chemical Society (ACS)","authors":"Cain Daniel J., Croteau Marie-Noële, Fuller Christopher C., Ringwood Amy H.","journalName":"Environmental Science & Technology","publicationDate":"2/2/2016"},"contributors":{"authors":[{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":597179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":597180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":597181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ringwood, Amy H.","contributorId":156285,"corporation":false,"usgs":false,"family":"Ringwood","given":"Amy","email":"","middleInitial":"H.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":597182,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207057,"text":"70207057 - 2016 - Climate change implications for tropical islands: Interpolating and interpreting statistically downscaled GCM projections for management and planning","interactions":[],"lastModifiedDate":"2019-12-04T15:26:55","indexId":"70207057","displayToPublicDate":"2016-02-03T15:19:57","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5202,"text":"Journal of Applied Meteorology and Climatology","onlineIssn":"1558-8432","printIssn":"1558-8424","active":true,"publicationSubtype":{"id":10}},"title":"Climate change implications for tropical islands: Interpolating and interpreting statistically downscaled GCM projections for management and planning","docAbstract":"The potential ecological and economic effects of climate change for tropical islands were studied using output from 12 statistically downscaled general circulation models (GCMs) taking Puerto Rico as a test case. Two model selection/model averaging strategies were used: the average of all available GCMs and the average of the models that are able to reproduce the observed large-scale dynamics that control precipitation over the Caribbean. Five island-wide and multidecadal averages of daily precipitation and temperature were estimated by way of a climatology-informed interpolation of the site-specific downscaled climate model output. Annual cooling degree-days (CDD) were calculated as a proxy index for air-conditioning energy demand, and two measures of annual no-rainfall days were used as drought indices. Holdridge life zone classification was used to map the possible ecological effects of climate change. Precipitation is predicted to decline in both model ensembles, but the decrease was more severe in the “regionally consistent” models. The precipitation declines cause gradual and linear increases in drought intensity and extremes. The warming from the 1960–90 period to the 2071–99 period was 4.6°–9°C depending on the global emission scenarios and location. This warming may cause increases in CDD, and consequently increasing energy demands. Life zones may shift from wetter to drier zones with the possibility of losing most, if not all, of the subtropical rain forests and extinction risks to rain forest specialists or obligates.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JAMC-D-15-0182.1","usgsCitation":"Henareh Khalyani, A., Gould, W.A., Harmsen, E., Terando, A.J., Quinones, M., and Collazo, J., 2016, Climate change implications for tropical islands: Interpolating and interpreting statistically downscaled GCM projections for management and planning: Journal of Applied Meteorology and Climatology, v. 55, no. 2, p. 265-282, https://doi.org/10.1175/JAMC-D-15-0182.1.","productDescription":"18 p.","startPage":"265","endPage":"282","ipdsId":"IP-069429","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":471258,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jamc-d-15-0182.1","text":"Publisher Index Page"},{"id":369918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.4066162109375,\n 17.814071002942764\n ],\n [\n -65.56915283203125,\n 17.814071002942764\n ],\n [\n -65.56915283203125,\n 18.609807415471877\n ],\n [\n -67.4066162109375,\n 18.609807415471877\n ],\n [\n -67.4066162109375,\n 17.814071002942764\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Henareh Khalyani, Azad","contributorId":194189,"corporation":false,"usgs":false,"family":"Henareh Khalyani","given":"Azad","email":"","affiliations":[],"preferred":false,"id":776658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, William A.","contributorId":103535,"corporation":false,"usgs":true,"family":"Gould","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":776659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harmsen, Eric 0000-0003-1462-1281","orcid":"https://orcid.org/0000-0003-1462-1281","contributorId":212206,"corporation":false,"usgs":false,"family":"Harmsen","given":"Eric","email":"","affiliations":[{"id":38459,"text":"Department of Agricultural and Biosystems Engineering, University of Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":776660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":776661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quinones, Maya","contributorId":221026,"corporation":false,"usgs":false,"family":"Quinones","given":"Maya","email":"","affiliations":[],"preferred":false,"id":776662,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collazo, Jaime A.","contributorId":191545,"corporation":false,"usgs":false,"family":"Collazo","given":"Jaime A.","affiliations":[],"preferred":false,"id":776663,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159631,"text":"ofr20151219 - 2016 - A seasonal comparison of surface sediment characteristics in Chincoteague Bay, Maryland and Virginia, USA","interactions":[],"lastModifiedDate":"2025-05-13T16:52:04.747944","indexId":"ofr20151219","displayToPublicDate":"2016-02-03T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1219","title":"A seasonal comparison of surface sediment characteristics in Chincoteague Bay, Maryland and Virginia, USA","docAbstract":"Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of surficial sediments from Chincoteague Bay and Tom's Cove, between Assateague Island and the Delmarva Peninsula in late March/early April 2014 and October 2014. The sampling efforts were part of a larger U.S. Geological Survey study to assess the effects of storm events on sediment distribution in back-barrier environments of the United States. By sampling during the spring and fall, a more complete understanding of seasonal variability in the area can help determine baseline conditions. The objective of this study was to characterize the sediments of Chincoteague Bay in order to create baseline conditions to incorporate with the hydrodynamic and sediment transport models used to evaluate pre- and post-storm change and compare with future field measurements.
\nThis report is an archive for sedimentological data derived from the surface sediment of Chincoteague Bay. Data are available for the spring (March/April 2014) and fall (October 2014) samples collected. Downloadable data are provided as Excel spreadsheets and as JPEG files. Additional files include ArcGIS shapefiles of the sampling sites, detailed results of sediment grain-size analyses, and formal Federal Geographic Data Committee metadata (data downloads).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151219","usgsCitation":"Ellis, A.M., Marot, M.E., Wheaton, C.J., Bernier, J.C., and Smith, C.G., 2015, A seasonal comparison of surface sediment characteristics in Chincoteague Bay, Maryland and Virginia, USA: U.S. Geological Survey Open-File Report 2015-1219, https://dx.doi.org/10.3133/ofr20151219.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065701","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":315341,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1219","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1219"},{"id":316535,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chincoteague Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.19317626953125,\n 38.28778081436419\n ],\n [\n -75.50628662109375,\n 37.88677656291023\n ],\n [\n -75.3717041015625,\n 37.83364941345968\n ],\n [\n -75.17532348632812,\n 38.09241741843045\n ],\n [\n -75.09292602539062,\n 38.272688535980976\n ],\n [\n -75.19317626953125,\n 38.28778081436419\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
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Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, scientific research, national security, recreation, and many others. For the Commonwealth of Puerto Rico, elevation data are critical for flood risk management, landslide mitigation, natural resources conservation, sea level rise and subsidence, coastal zone management, infrastructure and construction management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, U.S. territorial, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States, Hawaii, and selected U.S. territories, and quality level 5 interferometric synthetic aperture radar (IfSAR) data for Alaska, all with a 6- to 10-year acquisition cycle, provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A‒16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other three-dimensional (3D) representations of the Nation’s natural and constructed features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153088","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-067133","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":315015,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3088/fs20153088.pdf","text":"Report","size":"565 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3088"},{"id":315014,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3088/coverthb1.jpg"}],"country":"United States","otherGeospatial":"Puerto 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U.S. Geological Survey
511 National Center
Reston, VA 20192
http://www.usgs.gov/ngpo/
http://nationalmap.gov/3DEP/
The ability to infect a host is a key trait of a virus, and differences in infectivity could put one virus at an evolutionary advantage over another. In this study we have quantified the infectivity of two strains of infectious hematopoietic necrosis virus (IHNV) that are known to differ in fitness and virulence. By exposing juvenile rainbow trout (Oncorhynchus mykiss) hosts to a wide range of virus doses, we were able to calculate the infectious dose in terms of ID50 values for the two genotypes. Lethal dose experiments were also conducted to confirm the virulence difference between the two virus genotypes, using a range of virus doses and holding fish either in isolation or in batch so as to calculate LD50values. We found that infectivity is positively correlated with virulence, with the more virulent genotype having higher infectivity. Additionally, infectivity increases more steeply over a short range of doses compared to virulence, which has a shallower increase. We also examined the data using models of virion interaction and found no evidence to suggest that virions have either an antagonistic or a synergistic effect on each other, supporting the independent action hypothesis in the process of IHNV infection of rainbow trout.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.virusres.2015.12.020","usgsCitation":"McKenney, D., Kurath, G., and Wargo, A., 2016, Characterization of infectious dose and lethal dose of two strains of infectious hematopoietic necrosis virus (IHNV): Virus Research, v. 214, p. 80-89, https://doi.org/10.1016/j.virusres.2015.12.020.","productDescription":"10 p.","startPage":"80","endPage":"89","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068876","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":471260,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://scholarworks.wm.edu/vimsarticles/810","text":"Publisher Index Page"},{"id":316512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"214","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56b324a9e4b0cc79997f04d3","contributors":{"authors":[{"text":"McKenney, Douglas dmckenney@usgs.gov","contributorId":156278,"corporation":false,"usgs":true,"family":"McKenney","given":"Douglas","email":"dmckenney@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":597135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":597136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wargo, Andrew","contributorId":73480,"corporation":false,"usgs":true,"family":"Wargo","given":"Andrew","affiliations":[],"preferred":false,"id":597137,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70164377,"text":"70164377 - 2016 - Timing of translocation influences birth rate and population dynamics in a forest carnivore","interactions":[],"lastModifiedDate":"2017-11-22T17:33:16","indexId":"70164377","displayToPublicDate":"2016-02-03T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Timing of translocation influences birth rate and population dynamics in a forest carnivore","docAbstract":"Timing can be critical for many life history events of organisms. Consequently, the timing of management activities may affect individuals and populations in numerous and unforeseen ways. Translocations of organisms are used to restore or expand populations but the timing of translocations is largely unexplored as a factor influencing population success. We hypothesized that the process of translocation negatively influences reproductive rates of individuals that are moved just before their birthing season and, therefore, the timing of releases could influence translocation success. Prior to reintroducing fishers (Pekania pennanti) into northern California and onto the Olympic Peninsula of Washington, we predicted that female fishers released in November and December (early) would have a higher probability of giving birth to kits the following March or April than females released in January, February, and March (late), just prior to or during the period of blastocyst implantation and gestation. Over four winters (2008–2011), we translocated 56 adult female fishers that could have given birth in the spring immediately after release. Denning rates, an index of birth rate, for females released early were 92% in California and 38% in Washington. In contrast, denning rates for females released late were 40% and 11%, in California and Washington, a net reduction in denning rate of 66% across both sites. To understand how releasing females nearer to parturition could influence population establishment and persistence, we used stochastic population simulations using three-stage Lefkovitch matrices. These simulations showed that translocating female fishers early had long-term positive influences on the mean population size and on quasi-extinction thresholds compared to populations where females were released late. The results from both empirical data and simulations show that the timing of translocation, with respect to life history events, should be considered during planning of translocations and implemented before the capture, movement, and release of organisms for translocation.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1223","usgsCitation":"Facka, A., Lewis, J.C., Happe, P., Jenkins, K.J., Callas, R., and Powell, R.A., 2016, Timing of translocation influences birth rate and population dynamics in a forest carnivore: Ecosphere, v. 7, no. 1, e01223; 18 p., https://doi.org/10.1002/ecs2.1223.","productDescription":"e01223; 18 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068426","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471259,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1223","text":"Publisher Index Page"},{"id":316513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-02","publicationStatus":"PW","scienceBaseUri":"56b324ade4b0cc79997f04ef","contributors":{"authors":[{"text":"Facka, Aaron N","contributorId":156275,"corporation":false,"usgs":false,"family":"Facka","given":"Aaron N","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":597120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Jeffrey C.","contributorId":141090,"corporation":false,"usgs":false,"family":"Lewis","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":13674,"text":"WDFW","active":true,"usgs":false}],"preferred":false,"id":597121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Happe, Patricia","contributorId":83248,"corporation":false,"usgs":true,"family":"Happe","given":"Patricia","affiliations":[],"preferred":false,"id":597122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":597119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callas, Richard","contributorId":156276,"corporation":false,"usgs":false,"family":"Callas","given":"Richard","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":597123,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Powell, Roger A.","contributorId":9163,"corporation":false,"usgs":true,"family":"Powell","given":"Roger","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":597124,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70161652,"text":"fs20163002 - 2016 - New insights into the Edwards Aquifer—Brackish-water simulation, drought, and the role of uncertainty analysis","interactions":[],"lastModifiedDate":"2016-02-03T11:08:03","indexId":"fs20163002","displayToPublicDate":"2016-02-03T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3002","title":"New insights into the Edwards Aquifer—Brackish-water simulation, drought, and the role of uncertainty analysis","docAbstract":"The Edwards aquifer is an important water resource in south-central Texas, providing water for residents, businesses, and ecosystems. The aquifer is a highly complex karst system characterized by areas of rapid groundwater flow, faulted and fractured Cretaceous-age rocks, and multiple water-quality zones. Karst aquifer systems include soluble rocks such as limestone and dolomite that can convey tremendous amounts of water through dissolution-enhanced faults and fractures. Recent sustained droughts (2011–15) have heightened concerns about the possible effects of drought on this vital water resource.
\nThe Edwards aquifer consists of three water-quality zones. The freshwater zone of the Edwards aquifer is bounded to the south by a zone of brackish water (transition zone) where the aquifer transitions from fresh to saline water. The saline zone is downdip from the transition zone. There is concern that a recurrence of extreme drought, such as the 7-year drought from 1950 through 1956, could cause the transition zone to move toward (encroach upon) the freshwater zone, causing production wells near the transition zone to pump saltier water. There is also concern of drought effects on spring flows from Comal and San Marcos Springs. These concerns were evaluated through the development of a new numerical model of the Edwards aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163002","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Foster, L.K., and White, J.T., 2016, New insights into the Edwards aquifer—Brackish-water simulation, drought, and the role of uncertainty analysis: U.S. Geological Survey Fact Sheet 2016–3002, 6 p., https://dx.doi.org/10.3133/fs20163002.","productDescription":"6 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070683","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":316352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3002/coverthbr.jpg"},{"id":316353,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3002/fs20163002.pdf","text":"Report","size":"5.11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3002"}],"country":"United States","state":"Texas","otherGeospatial":"Edwards Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.1298828125,\n 30.774878871959746\n ],\n [\n -100.62377929687499,\n 29.080175989623203\n ],\n [\n -99.82177734375,\n 27.994401411046173\n ],\n [\n -96.866455078125,\n 29.864465259258\n ],\n [\n -98.1298828125,\n 30.774878871959746\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754
http://tx.usgs.gov
Animal telemetry is the science of elucidating the movements and behavior of animals in relation to their environment or habitat. Here, we focus on telemetry of aquatic species (marine mammals, sharks, fish, sea birds and turtles) and so are concerned with animal movements and behavior as they move through and above the world’s oceans, coastal rivers, estuaries and great lakes. Animal telemetry devices (“tags”) yield detailed data regarding animal responses to the coupled ocean–atmosphere and physical environment through which they are moving. Animal telemetry has matured and we describe a developing US Animal Telemetry Network (ATN) observing system that monitors aquatic life on a range of temporal and spatial scales that will yield both short- and long-term benefits, fill oceanographic observing and knowledge gaps and advance many of the U.S. National Ocean Policy Priority Objectives. ATN has the potential to create a huge impact for the ocean observing activities undertaken by the U.S. Integrated Ocean Observing System (IOOS) and become a model for establishing additional national-level telemetry networks worldwide.
","language":"English","publisher":"BioMed Central","doi":"10.1186/s40317-015-0092-1","usgsCitation":"Block, B.A., Holbrook, C., Simmons, S.E., Holland, K.N., Ault, J.S., Costa, D.P., Mate, B., Seitz, A.C., Arendt, M.D., Payne, J., Mahmoudi, B., Moore, P.L., Price, J., Levenson, J.J., Wilson, D., and Kochevar, R.E., 2016, Toward a national animal telemetry network for aquatic observations in the United States: Animal Biotelemetry, v. 4, no. 6, 8 p., https://doi.org/10.1186/s40317-015-0092-1.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069947","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":471261,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-015-0092-1","text":"Publisher Index 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cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":597413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simmons, Samantha E.","contributorId":156320,"corporation":false,"usgs":false,"family":"Simmons","given":"Samantha","email":"","middleInitial":"E.","affiliations":[{"id":20313,"text":"Marine Mammal Commission","active":true,"usgs":false}],"preferred":false,"id":597417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holland, Kim N","contributorId":156321,"corporation":false,"usgs":false,"family":"Holland","given":"Kim","email":"","middleInitial":"N","affiliations":[{"id":20314,"text":"Hawaii Institute of Marine Biology, University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":597418,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ault, Jerald S.","contributorId":59286,"corporation":false,"usgs":true,"family":"Ault","given":"Jerald","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":597419,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Costa, Daniel P.","contributorId":141212,"corporation":false,"usgs":false,"family":"Costa","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":597421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mate, Bruce R","contributorId":156323,"corporation":false,"usgs":false,"family":"Mate","given":"Bruce R","affiliations":[{"id":20316,"text":"Oregon State University Marine Mammal Institute","active":true,"usgs":false}],"preferred":false,"id":597423,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Seitz, Andrew C.","contributorId":156324,"corporation":false,"usgs":true,"family":"Seitz","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":597425,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arendt, Michael D.","contributorId":105639,"corporation":false,"usgs":true,"family":"Arendt","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":597426,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Payne, John","contributorId":146663,"corporation":false,"usgs":false,"family":"Payne","given":"John","email":"","affiliations":[],"preferred":false,"id":597427,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mahmoudi, Behzad","contributorId":156325,"corporation":false,"usgs":false,"family":"Mahmoudi","given":"Behzad","email":"","affiliations":[{"id":20317,"text":"Florida Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":597428,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moore, Peter L.","contributorId":54504,"corporation":false,"usgs":true,"family":"Moore","given":"Peter","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":597430,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Price, James","contributorId":156327,"corporation":false,"usgs":false,"family":"Price","given":"James","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":false,"id":597431,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Levenson, J. J.","contributorId":156326,"corporation":false,"usgs":false,"family":"Levenson","given":"J.","email":"","middleInitial":"J.","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":false,"id":597429,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wilson, Doug","contributorId":7581,"corporation":false,"usgs":true,"family":"Wilson","given":"Doug","email":"","affiliations":[],"preferred":false,"id":597432,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kochevar, Randall E","contributorId":156328,"corporation":false,"usgs":false,"family":"Kochevar","given":"Randall","email":"","middleInitial":"E","affiliations":[{"id":16719,"text":"Hopkins Marine Station, Stanford University, Pacific Grove, CA 909350, USA","active":true,"usgs":false}],"preferred":false,"id":597433,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70168507,"text":"70168507 - 2016 - Plastic pikas: Behavioural flexibility in low-elevation pikas (Ochotona princeps)","interactions":[],"lastModifiedDate":"2016-02-16T21:51:09","indexId":"70168507","displayToPublicDate":"2016-02-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":987,"text":"Behavioural Processes","active":true,"publicationSubtype":{"id":10}},"title":"Plastic pikas: Behavioural flexibility in low-elevation pikas (Ochotona princeps)","docAbstract":"Behaviour is an important mechanism for accommodating rapid environmental changes. Understanding a species’ capacity for behavioural plasticity is therefore a key, but understudied, aspect of developing tractable conservation and management plans under climate-change scenarios. Here, we quantified behavioural differences between American pikas (Ochotona princeps) living in an atypical, low-elevation habitat versus those living in a more-typical, alpine habitat. With respect to foraging strategy, low-elevation pikas spent more time consuming vegetation and less time caching food for winter, compared to high-elevation pikas. Low-elevation pikas were also far more likely to be detected in forested microhabitats off the talus than their high-elevation counterparts at midday. Finally, pikas living in the atypical habitat had smaller home range sizes compared to those in typical habitat or any previously published home ranges for this species. Our findings indicate that behavioural plasticity likely allows pikas to accommodate atypical conditions in this low-elevation habitat, and that they may rely on critical habitat factors such as suitable microclimate refugia to behaviourally thermoregulate. Together, these results suggest that behavioural adjustments are one important mechanism by which pikas can persist outside of their previously appreciated dietary and thermal niches.
","language":"English","publisher":"Elsevier Science Pub. Co.","publisherLocation":"New York, NY","doi":"10.1016/j.beproc.2016.01.009","usgsCitation":"Varner, J., Horns, J.J., Lambert, M.S., Westberg, E., Ruff, J., Wolfenberger, K., Beever, E., and Dearing, M.D., 2016, Plastic pikas: Behavioural flexibility in low-elevation pikas (Ochotona princeps): Behavioural Processes, v. 125, p. 63-71, https://doi.org/10.1016/j.beproc.2016.01.009.","productDescription":"9 p.","startPage":"63","endPage":"71","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065677","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":471262,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.beproc.2016.01.009","text":"Publisher Index Page"},{"id":318101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Columbia River Gorge, Mt. Hood","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.43713378906249,\n 45.07352060670971\n ],\n [\n -122.43713378906249,\n 45.767522962149904\n ],\n [\n -121.53625488281249,\n 45.767522962149904\n ],\n [\n -121.53625488281249,\n 45.07352060670971\n ],\n [\n -122.43713378906249,\n 45.07352060670971\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c45652e4b0946c65218587","contributors":{"authors":[{"text":"Varner, Johanna","contributorId":147700,"corporation":false,"usgs":false,"family":"Varner","given":"Johanna","email":"","affiliations":[{"id":16911,"text":"Dept. of Biology, University of Utah, Salt Lake City, UT","active":true,"usgs":false}],"preferred":false,"id":620652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horns, Joshua J.","contributorId":147702,"corporation":false,"usgs":false,"family":"Horns","given":"Joshua","email":"","middleInitial":"J.","affiliations":[{"id":16911,"text":"Dept. of Biology, University of Utah, Salt Lake City, UT","active":true,"usgs":false}],"preferred":false,"id":620653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lambert, Mallory S.","contributorId":147701,"corporation":false,"usgs":false,"family":"Lambert","given":"Mallory","email":"","middleInitial":"S.","affiliations":[{"id":16911,"text":"Dept. of Biology, University of Utah, Salt Lake City, UT","active":true,"usgs":false}],"preferred":false,"id":620654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westberg, Elizabeth","contributorId":166987,"corporation":false,"usgs":false,"family":"Westberg","given":"Elizabeth","email":"","affiliations":[{"id":24590,"text":"University of Utah, Department of Biology, Salt Lake City, UT, USA","active":true,"usgs":false}],"preferred":false,"id":620655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruff, James","contributorId":166988,"corporation":false,"usgs":false,"family":"Ruff","given":"James","email":"","affiliations":[{"id":24590,"text":"University of Utah, Department of Biology, Salt Lake City, UT, USA","active":true,"usgs":false}],"preferred":false,"id":620656,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolfenberger, Katelyn","contributorId":166989,"corporation":false,"usgs":false,"family":"Wolfenberger","given":"Katelyn","email":"","affiliations":[{"id":24590,"text":"University of Utah, Department of Biology, Salt Lake City, UT, USA","active":true,"usgs":false}],"preferred":false,"id":620657,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":620651,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dearing, M. Denise","contributorId":147705,"corporation":false,"usgs":false,"family":"Dearing","given":"M.","email":"","middleInitial":"Denise","affiliations":[{"id":16911,"text":"Dept. of Biology, University of Utah, Salt Lake City, UT","active":true,"usgs":false}],"preferred":false,"id":620658,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70161858,"text":"ofr20161002 - 2016 - Quality of surface-water supplies in the Triangle area of North Carolina, water years 2010-11","interactions":[],"lastModifiedDate":"2016-12-08T17:09:07","indexId":"ofr20161002","displayToPublicDate":"2016-02-02T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1002","title":"Quality of surface-water supplies in the Triangle area of North Carolina, water years 2010-11","docAbstract":"Surface-water supplies are important sources of drinking water for residents in the Triangle area of North Carolina, which is located within the upper Cape Fear and Neuse River Basins. Since 1988, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in several of the area’s water-supply lakes and streams. This report summarizes data collected through this cooperative effort, known as the Triangle Area Water Supply Monitoring Project, during October 2009 through September 2010 (water year 2010) and October 2010 through September 2011 (water year 2011). Major findings for this data-collection effort include
\nDirector, South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road
Columbia, SC 29210
http://www.usgs.gov/water/southatlantic/