{"pageNumber":"843","pageRowStart":"21050","pageSize":"25","recordCount":184617,"records":[{"id":70198082,"text":"70198082 - 2018 - Post-spring migration colony-site prospecting by Roseate Terns (Sterna dougallii)","interactions":[],"lastModifiedDate":"2018-07-16T10:44:23","indexId":"70198082","displayToPublicDate":"2018-07-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2881,"text":"North American Bird Bander","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Post-spring migration colony-site prospecting by Roseate Terns (Sterna dougallii)","title":"Post-spring migration colony-site prospecting by Roseate Terns (Sterna dougallii)","docAbstract":"We recorded banded Roseate Terns (Sterna dougallii) and unbanded individuals mated to banded individuals in May and the first third of June in 2001 and 2002 to quantify post spring migration prospecting by this species at Falkner Island, Connecticut, USA. In 2001, more than one quarter: 34/125 (27.2%) of those observed by 19 May and 38/150 (25.3%) of those observed by 25 May did not remain at this colony site and went elsewhere to attempt breeding. In 2002, fewer terns were observed by 19 May, but an even higher percentage: 11/28 (39.3%) of those seen by 19 May and 58/151 (38.4%) of those seen by 25 May did not stay and nest. Our results demonstrate that a substantial proportion of the earliest arriving individuals at this site are prospecting and gathering information about local conditions before making a decision about going elsewhere to nest.","language":"English","usgsCitation":"Spendelow, J.A., and Eichenwald, A.J., 2018, Post-spring migration colony-site prospecting by Roseate Terns (Sterna dougallii): North American Bird Bander, v. 43, no. 1, p. 1-6.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-074482","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":355681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc414e4b0f5d57878e9cd","contributors":{"authors":[{"text":"Spendelow, Jeffrey A. 0000-0001-8167-0898 jspendelow@usgs.gov","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":4355,"corporation":false,"usgs":true,"family":"Spendelow","given":"Jeffrey","email":"jspendelow@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":739933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eichenwald, Adam J.","contributorId":205977,"corporation":false,"usgs":false,"family":"Eichenwald","given":"Adam","email":"","middleInitial":"J.","affiliations":[{"id":37202,"text":"School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":739934,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198125,"text":"70198125 - 2018 - Outburst floods provide erodability estimates consistent with long-term landscape evolution","interactions":[],"lastModifiedDate":"2018-07-17T09:56:50","indexId":"70198125","displayToPublicDate":"2018-07-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Outburst floods provide erodability estimates consistent with long-term landscape evolution","docAbstract":"

Most current models for the landscape evolution over geological timescales are based on semi-empirical laws that consider riverbed incision proportional to rock erodability (dependent on lithology) and to the work performed by water flow (stream power). However, the erodability values obtained from these models are entangled with poorly known conditions of past climate and streamflow. Here we use the erosion reported for 82 outburst floods triggered by overtopping lakes as a way to estimate the outlet erodability. This avoids the common assumptions regarding past hydrology because water discharge from overtopping floods is often well constrained from geomorphological evidence along the spillway. This novel methodology yields values of erodability that show a quantitative relation to lithology similar to previous river erosion analyses, expanding the range of hydrological and temporal scales of fluvial incision models and suggesting some consistency between the mathematical formulations of long-term and catastrophic erosional mechanisms. Our results also clarify conditions leading to the runaway erosion responsible for outburst floods triggered by overtopping lakes.

","language":"English","publisher":"Nature","doi":"10.1038/s41598-018-28981-y","usgsCitation":"Garcia-Castellanos, D., and O'Connor, J., 2018, Outburst floods provide erodability estimates consistent with long-term landscape evolution: Scientific Reports, v. 8, p. 1-9, https://doi.org/10.1038/s41598-018-28981-y.","productDescription":"Article number: 10573; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-098874","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-28981-y","text":"Publisher Index Page"},{"id":355719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b6fc413e4b0f5d57878e9c7","contributors":{"authors":[{"text":"Garcia-Castellanos, Daniel","contributorId":203800,"corporation":false,"usgs":false,"family":"Garcia-Castellanos","given":"Daniel","email":"","affiliations":[{"id":36720,"text":"Instituto de Ciencias de la Tierra Jaume Almera, ICTJA-CSIC, Solé i Sabarís s/n, 08028 Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":740150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":740149,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70197877,"text":"sir20185084 - 2018 - Water budget of the upper Chehalis River Basin, southwestern Washington","interactions":[],"lastModifiedDate":"2018-07-17T10:32:26","indexId":"sir20185084","displayToPublicDate":"2018-07-16T00:00:00","publicationYear":"2018","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":"2018-5084","title":"Water budget of the upper Chehalis River Basin, southwestern Washington","docAbstract":"

Groundwater and surface water collectively supply the domestic, agricultural, and industrial needs of the 895-square mile upper Chehalis River Basin upstream of Grand Mound, Washington, while providing streamflow for fish and other aquatic species in the Chehalis River and its tributaries. To support sustainable water management decision-making, a water budget (including precipitation, interception, groundwater recharge, surface runoff, and groundwater pumping) was developed for the upper Chehalis River Basin during October 2001–September 2015. Water-budget components were estimated from the U.S. Geological Survey Soil-Water-Balance (SWB) model except for groundwater pumping, which was estimated from public water purveyor records, annual system data from the Washington State Department of Health, census population data, and water-use estimates. Groundwater recharge estimated from the SWB model was compared to base flow, a proxy for groundwater recharge, independently estimated from separation of the hydrograph recorded by the U.S. Geological Survey streamgage at the outlet of the basin. Mean annual precipitation for the basin was estimated at 72.6 inches, of which 35 percent was lost to evapotranspiration, 30 percent was recharged to groundwater, 30 percent was surface runoff, and 5 percent was lost to interception. SWB model estimates of groundwater recharge were 17 percent less than estimates of base flow from hydrograph separation. Groundwater pumpage in the basin was estimated at 1 percent of groundwater recharge estimated by SWB and 0.8 percent of base flow estimated by hydrograph separation. These estimates form a baseline for understanding future changes to components of water use and may be used to inform numerical groundwater models to support sustainable management of water resources in the upper Chehalis River Basin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185084","collaboration":"Prepared in cooperation with the City of Centrailia","usgsCitation":"Gendaszek, A.S., and Welch, W.B., 2018, Water budget of the upper Chehalis River Basin, southwestern Washington: U.S. Geological Survey Scientific Investigations Report 2018-5084, 17 p., https://doi.org/10.3133/sir20185084.","productDescription":"v, 17 p.","onlineOnly":"Y","ipdsId":"IP-096130","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":437827,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78G8K1F","text":"USGS data release","linkHelpText":"Soil Water Balance Model of Upper Chehalis River Basin, Southwestern Washington"},{"id":355593,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5084/coverthb.jpg"},{"id":355594,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5084/sir20185084.pdf","text":"Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5084"}],"country":"United States","state":"Washington","otherGeospatial":"Chehalis River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.1667,\n 46.8333\n ],\n [\n -122.3333,\n 46.8333\n ],\n [\n -122.3333,\n 46.3333\n ],\n [\n -123.1667,\n 46.3333\n ],\n [\n -123.1667,\n 46.8333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-07-16","noUsgsAuthors":false,"publicationDate":"2018-07-16","publicationStatus":"PW","scienceBaseUri":"5b6fc415e4b0f5d57878e9cf","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welch, Wendy B. 0000-0003-2724-0808 wwelch@usgs.gov","orcid":"https://orcid.org/0000-0003-2724-0808","contributorId":140515,"corporation":false,"usgs":true,"family":"Welch","given":"Wendy","email":"wwelch@usgs.gov","middleInitial":"B.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":738896,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200628,"text":"70200628 - 2018 - Explicit consideration of preferential groundwater discharges as surface water ecosystem control points","interactions":[],"lastModifiedDate":"2018-10-25T12:28:21","indexId":"70200628","displayToPublicDate":"2018-07-15T12:28:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Explicit consideration of preferential groundwater discharges as surface water ecosystem control points","docAbstract":"
Heterogeneities in sediment and rock permeability induce preferentialgroundwater flow from the scale of pore networks to large basins. Inthe unsaturated zone, preferential flow is frequently conceptualizedas an infiltration process dominated by macropores, resulting in stron-ger delivery of surface‐derived solute than would be predicted via dif-fuse percolation alone (Beven & Germann, 2013). In the saturatedzone, preferential flow occurs in bedrock fractures and karst, alonggeologic contacts and fault zones, and through unconsolidated mate-rials of relatively high connectivity (Winter, Harvey, Franke, & Alley,1998). Focused flow paths emanate on the land surface as preferentialgroundwater discharges, observed throughout stream, lake, wetland,and estuary systems. The prevalence, and perhaps dominance, of spa-tially focused discharges to surface water contrasts with the spatiallydiffuse flow often assumed in various conceptual and predictiveprocess‐based models. This simplification is not made out of anunawareness of preferential groundwater discharge; rather, the abilityto reliably measure focused flow across a range of scales is hamperedby a reliance on (relatively) sparse point measurements. Additionally,realistic distributions of <1‐ to 100‐m‐scale preferential groundwaterdischarges are computationally expensive to simulate at scales rele-vant to decision making. If we accept that preferential discharge ofgroundwater to surface water is an ubiquitous process, fundamentalquestions facing contemporary hydrogeology include (a) When doesspatially focused groundwater discharge matter to the process wewould like to predict? Followed by (b) If we determine when preferen-tial discharge “matters” and should not be simplified to diffuse inflows,how do we measure it at the spatial and temporal scales needed toinform process‐based models?
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13178","usgsCitation":"Briggs, M.A., and Hare, D.K., 2018, Explicit consideration of preferential groundwater discharges as surface water ecosystem control points: Hydrological Processes, v. 32, no. 15, p. 2435-2440, https://doi.org/10.1002/hyp.13178.","productDescription":"6 p.","startPage":"2435","endPage":"2440","ipdsId":"IP-098374","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488999,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1457824","text":"External Repository"},{"id":358818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"15","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-29","publicationStatus":"PW","scienceBaseUri":"5c10a984e4b034bf6a7e5266","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":749747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hare, Danielle K.","contributorId":76222,"corporation":false,"usgs":true,"family":"Hare","given":"Danielle","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":749797,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198872,"text":"70198872 - 2018 - White-nose syndrome: cutaneous invasive ascomycosis in hibernating bats","interactions":[],"lastModifiedDate":"2018-08-24T12:13:19","indexId":"70198872","displayToPublicDate":"2018-07-15T12:10:43","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"White-nose syndrome: cutaneous invasive ascomycosis in hibernating bats","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fowler's Zoo and Wild Animal Medicine Current Therapy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","isbn":"9780323552288","usgsCitation":"Meteyer, C., and Verant, M., 2018, White-nose syndrome: cutaneous invasive ascomycosis in hibernating bats, chap. of Fowler's Zoo and Wild Animal Medicine Current Therapy, p. 508-513.","productDescription":"6 p.","startPage":"508","endPage":"513","ipdsId":"IP-095786","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":356729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356728,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.us.elsevierhealth.com/miller-fowlers-zoo-and-wild-animal-medicine-current-therapy-volume-9-9780323552288.html"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a298e4b0702d0e842f8b","contributors":{"authors":[{"text":"Meteyer, Carol 0000-0002-4007-3410","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":207215,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":743194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verant, Michelle 0000-0001-6994-6257","orcid":"https://orcid.org/0000-0001-6994-6257","contributorId":204269,"corporation":false,"usgs":false,"family":"Verant","given":"Michelle","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":743195,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198100,"text":"70198100 - 2018 - Using earthquakes, T waves, and infrasound to investigate the eruption of Bogoslof Volcano, Alaska","interactions":[],"lastModifiedDate":"2018-08-30T14:56:06","indexId":"70198100","displayToPublicDate":"2018-07-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using earthquakes, T waves, and infrasound to investigate the eruption of Bogoslof Volcano, Alaska","title":"Using earthquakes, T waves, and infrasound to investigate the eruption of Bogoslof Volcano, Alaska","docAbstract":"

The 2016‐2017 eruption of Bogoslof volcano, a submarine stratovolcano in the Bering Sea, produced 70 discrete explosive eruptions over 8 months. With no local monitoring data, activity was seismically recorded on nearby islands 50‐100 km away, limiting the detection and resolution of seismic observations. We construct a matched filter catalog of 3199 events from 49 earthquake families, many of which occurred with hydroacousticT waves of varying strength. We then use a 2D finite difference model to show that hydroacoustic amplitudes should decrease with increased source depth beneath the edifice and leverage each family's seismically recorded T wave amplitude as a proxy for source depth, which we compare to regional infrasound data. This unique combination of using P and S waves to detect events, T waves as a proxy for depth, and infrasound for precise timing of emissions allows us to interpret the dynamics and evolution of the Bogoslof eruption.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GL078457","usgsCitation":"Wech, A., Tepp, G., Lyons, J.J., and Haney, M.M., 2018, Using earthquakes, T waves, and infrasound to investigate the eruption of Bogoslof Volcano, Alaska: Geophysical Research Letters, v. 45, no. 14, p. 6918-6925, https://doi.org/10.1029/2018GL078457.","productDescription":"8 p.","startPage":"6918","endPage":"6925","ipdsId":"IP-097523","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":355679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -168.06129455566406,\n 53.92021282471509\n ],\n [\n -168.01769256591797,\n 53.92021282471509\n ],\n [\n -168.01769256591797,\n 53.95335826795407\n ],\n [\n -168.06129455566406,\n 53.95335826795407\n ],\n [\n -168.06129455566406,\n 53.92021282471509\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"14","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-25","publicationStatus":"PW","scienceBaseUri":"5b6fc415e4b0f5d57878e9d1","contributors":{"authors":[{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tepp, Gabrielle 0000-0001-5388-5138","orcid":"https://orcid.org/0000-0001-5388-5138","contributorId":206305,"corporation":false,"usgs":true,"family":"Tepp","given":"Gabrielle","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":740024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740025,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197045,"text":"ofr20181084 - 2018 - Streamflow, water quality, and constituent loads and yields, Scituate Reservoir Drainage Area, Rhode Island, Water Year 2016","interactions":[],"lastModifiedDate":"2018-07-14T10:03:26","indexId":"ofr20181084","displayToPublicDate":"2018-07-13T14:00:00","publicationYear":"2018","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":"2018-1084","title":"Streamflow, water quality, and constituent loads and yields, Scituate Reservoir Drainage Area, Rhode Island, Water Year 2016","docAbstract":"

As part of a long-term cooperative program to monitor water quality within the Scituate Reservoir watershed, the U.S. Geological Survey in cooperation with the Providence Water Supply Board collected streamflow and water-quality data at the Scituate Reservoir and tributaries. Streamflow and concentrations of chloride and sodium estimated from records of specific conductance were used to calculate loads of chloride and sodium during water year (WY) 2016 (October 1, 2015, through September 30, 2016) for tributaries to the Scituate Reservoir, Rhode Island. Streamflow was measured or estimated by the U.S. Geological Survey following standard methods at 23 streamgages; 14 of these streamgages are equipped with instrumentation capable of continuously monitoring water level, specific conductance, and water temperature. Water-quality samples were collected by the Providence Water Supply Board at 34 sampling stations that also include 14 continuous-record streamgages maintained by the U.S. Geological Survey during WY 2016 as part of a long-term sampling program; all stations are in the Scituate Reservoir drainage area. Water-quality data collected by the Providence Water Supply Board are summarized by using values of central tendency and are used, in combination with measured (or estimated) streamflows, to calculate loads and yields (loads per unit area) of selected water-quality constituents for WY 2016.

The largest tributary to the reservoir, the Ponaganset River, which was monitored by the U.S. Geological Survey, contributed a mean streamflow of 18 cubic feet per second to the reservoir during WY 2016. For the same period, annual mean streamflows measured (or estimated) for the other monitoring stations in this study ranged from about 0.27 to about 12 cubic feet per second. Together, tributaries equipped with instrumentation capable of continuously monitoring specific conductance transported about 2,100,000 kilograms of chloride and 1,300,000 kilograms of sodium to the Scituate Reservoir during WY 2016; chloride and sodium yields for the tributaries ranged from 14,000 to 95,000 kilograms per square mile and from 8,600 to 56,000 kilograms per square mile, respectively.

At the stations where water-quality samples were collected by the Providence Water Supply Board, the medians of the median concentrations were 27.9 milligrams per liter for chloride, 0.002 milligram per liter as nitrogen for nitrite, 0.13 milligrams per liter as nitrogen for nitrate, 0.07 milligram per liter as phosphate for orthophosphate, and 700 and 10 colony forming units per 100 milliliters for total coliform bacteria and Escherichia coli (E. coli), respectively. The medians of the median daily loads of chloride, nitrite nitrogen, nitrate nitrogen, orthophosphate, and total coliform and E. coli bacteria were 170 kilograms per day, 8.9 grams per day, 570 grams per day, 320 grams per day, 41,000 million colony forming units per day, and 680 million colony forming units per day. The medians of the median yields of chloride, nitrite nitrogen, nitrate nitrogen, orthophosphate, total coliform, and E. coli bacteria were 53 kilograms per day per square mile, 4.7 grams per day per square mile, 130 grams per day per square mile, 165 grams per day per square mile, 23,000 million colony forming units per day per square mile, and 340 million colony forming units per day per square mile, respectively.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181084","collaboration":"Prepared in cooperation with the Providence Water Supply Board ","usgsCitation":"Smith, K.P., 2018, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2016: U.S. Geological Survey Open-File Report 2018–1084, 23 p., https://doi.org/10.3133/ofr20181084.","productDescription":"v, 32 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-088041","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":355643,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1084/ofr201810841.pdf","text":"Report","size":"3.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1084"},{"id":355642,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1084/coverthb22.jpg"},{"id":355644,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z60NC5","text":"USGS data release","description":"USGS data release","linkHelpText":"Water quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir, water year 2016"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir Drainage Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.79290771484375,\n 41.73237975329554\n ],\n [\n -71.54296874999999,\n 41.73237975329554\n ],\n [\n -71.54296874999999,\n 41.97786911170172\n ],\n [\n -71.79290771484375,\n 41.97786911170172\n ],\n [\n -71.79290771484375,\n 41.73237975329554\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2018-07-13","noUsgsAuthors":false,"publicationDate":"2018-07-13","publicationStatus":"PW","scienceBaseUri":"5b6fc416e4b0f5d57878e9d3","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":735362,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70226629,"text":"70226629 - 2018 - Accurate predictions of microscale oxygen barometry in basaltic glasses using V K-edge X-ray absorption spectroscopy: A multivariate approach","interactions":[],"lastModifiedDate":"2021-12-01T12:43:42.425767","indexId":"70226629","displayToPublicDate":"2018-07-13T06:39:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Accurate predictions of microscale oxygen barometry in basaltic glasses using V K-edge X-ray absorption spectroscopy: A multivariate approach","docAbstract":"

Because magmatic oxygen fugacity (fO2) exerts a primary control on the discrete vanadium (V) valence states that will exist in quenched melts, V valence proxies for fO2, measured using X-ray absorption near-edge spectroscopy (XANES), can provide highly sensitive measurements of the redox conditions in basaltic melts. However, published calibrations for basaltic glasses primarily relate measured intensities of specific spectral features to V valence or oxygen fugacity. These models have not exploited information contained within the entire XANES spectrum, which also provide a measure of changes in V chemical state as a function of fO2. Multivariate analysis (MVA) holds significant promise for the development of calibration models that employ the full XANES spectral range. In this study, new calibration models are developed using MVA partial least-squares (PLS) regression and least absolute shrinkage and selection operator (Lasso) regression to predict the fO2 of equilibration in glasses of basaltic composition directly. The models are then tested on a suite of natural glasses from mid-ocean ridge basalts and from Kilauea. The models relate the measured XANES spectral features directly to buffer-relative fO2 as the predicted variable, avoiding the need for an external measure of the V valence in the experimental glasses used to train the models. It is also shown that by predicting buffer-relative fO2 directly, these models also minimize temperature-relative uncertainties in the calibration. The calibration developed using the Lasso regression model, using a Lasso hyperparameter value of α = 0.0008, yields nickel-nickel oxide (NNO) relative fO2 predictions with a root-mean-square-error of ±0.33 log units. When applied to natural basaltic glasses, the V MVA calibration model generally yields predicted NNO-relative fO2 values that are within the analytical uncertainty of what is calculated using Fe XANES to predict Fe3+/ΣFe. When applied to samples of natural basaltic glass collected in 2014 from an active lava flow at Kilauea, a mean fO2 of NNO-1.15 ± 0.19 (1σ) is calculated, which is generally consistent with other published fO2 estimates for subaerial Kilauea lavas. When applied to a sample of pillow-rim basaltic glass dredged from the East Pacific Rise, calculated fO2 varies from NNO-2.67 (±0.33) to NNO-3.72 (±0.33) with distance from the quenched pillow rim. Fe oxybarometry in this sample provides an fO2 of NNO-2.54 ± 0.19 (1σ), which is in good agreement with that provided by the V oxybarometry within the uncertainties of the modeling. However, the data may indicate that V XANES oxybarometry has greater sensitivity to small changes in fO2 at these more reduced redox conditions than can be detected using Fe XANES.

","language":"English","publisher":"De Gruyter","doi":"10.2138/am-2018-6319","usgsCitation":"Lanzirotti, A., Dyar, M., Sutton, S., Newville, M., Head, E., Carey, C., McCanta, M., Lee, R.L., King, P., and Jones, J., 2018, Accurate predictions of microscale oxygen barometry in basaltic glasses using V K-edge X-ray absorption spectroscopy: A multivariate approach: American Mineralogist, v. 103, no. 8, https://doi.org/10.2138/am-2018-6319.","ipdsId":"IP-091620","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":392289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.4174041748047,\n 19.188623199306065\n ],\n [\n -155.05760192871094,\n 19.188623199306065\n ],\n [\n -155.05760192871094,\n 19.484718252643226\n ],\n [\n -155.4174041748047,\n 19.484718252643226\n ],\n [\n -155.4174041748047,\n 19.188623199306065\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"103","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lanzirotti, Antonio 0000-0002-7597-5924","orcid":"https://orcid.org/0000-0002-7597-5924","contributorId":223780,"corporation":false,"usgs":false,"family":"Lanzirotti","given":"Antonio","email":"","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":827539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dyar, M. Darby","contributorId":269611,"corporation":false,"usgs":false,"family":"Dyar","given":"M. Darby","affiliations":[{"id":56007,"text":"Department of Astronomy, Mount Holyoke College, South Hadley, MA 01075, USA","active":true,"usgs":false}],"preferred":false,"id":827540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutton, Steve","contributorId":269612,"corporation":false,"usgs":false,"family":"Sutton","given":"Steve","email":"","affiliations":[{"id":56009,"text":"Center for Advanced Radiation Sources, The University of Chicago, Argonne, IL 60439, USA","active":true,"usgs":false}],"preferred":false,"id":827541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newville, Matthew","contributorId":269613,"corporation":false,"usgs":false,"family":"Newville","given":"Matthew","affiliations":[{"id":56009,"text":"Center for Advanced Radiation Sources, The University of Chicago, Argonne, IL 60439, USA","active":true,"usgs":false}],"preferred":false,"id":827542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Head, Elisabet","contributorId":269614,"corporation":false,"usgs":false,"family":"Head","given":"Elisabet","affiliations":[{"id":56010,"text":"Department of Earth Science, Northeastern Illinois University, Chicago, IL 60625, USA","active":true,"usgs":false}],"preferred":false,"id":827543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carey, CJ","contributorId":269615,"corporation":false,"usgs":false,"family":"Carey","given":"CJ","email":"","affiliations":[{"id":56011,"text":"College of Information and Computer Sciences, University of Massachusetts, Amherst, MA 01003, USA","active":true,"usgs":false}],"preferred":false,"id":827544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCanta, Molly","contributorId":269616,"corporation":false,"usgs":false,"family":"McCanta","given":"Molly","affiliations":[{"id":56012,"text":"Department of Earth and Planetary Sciences, University of Tennessee, Knoxville, TN 37996, USA","active":true,"usgs":false}],"preferred":false,"id":827545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, R. Lopaka 0000-0002-6352-0340","orcid":"https://orcid.org/0000-0002-6352-0340","contributorId":223777,"corporation":false,"usgs":true,"family":"Lee","given":"R.","email":"","middleInitial":"Lopaka","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":827546,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, Penelope L.","contributorId":269617,"corporation":false,"usgs":false,"family":"King","given":"Penelope L.","affiliations":[{"id":56013,"text":"Research School of Earth Sciences, Australian National University, Canberra, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":827547,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jones, John","contributorId":269618,"corporation":false,"usgs":false,"family":"Jones","given":"John","affiliations":[{"id":56014,"text":"National Aeronautics and Space Administration/Johnson Space Center, Houston, TX 77058, USA","active":true,"usgs":false}],"preferred":false,"id":827548,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70198093,"text":"70198093 - 2018 - Icebergs in the Nordic Seas throughout the Late Pliocene","interactions":[],"lastModifiedDate":"2018-07-16T10:46:19","indexId":"70198093","displayToPublicDate":"2018-07-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Icebergs in the Nordic Seas throughout the Late Pliocene","docAbstract":"The Arctic cryosphere is changing and making a significant contribution to sea level rise. The Late Pliocene had similar CO2 levels to the present and a warming comparable to model predictions for the end of this century. However, the state of the Arctic cryosphere during the Pliocene remains poorly constrained. For the first time we combine outputs from a climate model with a thermodynamic iceberg model to simulate likely source regions for ice‐rafted debris (IRD) found in the Nordic Seas from Marine Isotope Stage M2 to the mid‐Piacenzian Warm Period and what this implies about the nature of the Arctic cryosphere at this time. We compare the fraction of melt given by the model scenarios with IRD data from four Ocean Drilling Program sites in the Nordic Seas. Sites 911A, 909C, and 907A show a persistent occurrence of IRD that model results suggest is consistent with permanent ice on Svalbard. Our results indicate that icebergs sourced from the east coast of Greenland do not reach the Nordic Seas sites during the warm Late Pliocene but instead travel south into the North Atlantic. In conclusion, we suggest a continuous occurrence of marine‐terminating glaciers on Svalbard and on East Greenland (due to the elevation of the East Greenland Mountains during the Late Pliocene). The study has highlighted the usefulness of coupled climate model‐iceberg trajectory modeling for understanding ice sheet behavior when proximal geological records for Pliocene ice presence or absence are absent or are inconclusive.","language":"English","publisher":"AGU","doi":"10.1002/2017PA003240","usgsCitation":"Smith, Y.M., Hill, D., Dolan, A.M., Haywood, A.M., Dowsett, H.J., and Risebrobakken, B., 2018, Icebergs in the Nordic Seas throughout the Late Pliocene: Paleoceanography, v. 33, no. 3, p. 318-335, https://doi.org/10.1002/2017PA003240.","productDescription":"18 p.","startPage":"318","endPage":"335","ipdsId":"IP-091705","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":468590,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017pa003240","text":"Publisher Index Page"},{"id":355676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-30","publicationStatus":"PW","scienceBaseUri":"5b6fc416e4b0f5d57878e9d5","contributors":{"authors":[{"text":"Smith, Yvonne M.","contributorId":206285,"corporation":false,"usgs":false,"family":"Smith","given":"Yvonne","email":"","middleInitial":"M.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":739980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Daniel","contributorId":206286,"corporation":false,"usgs":false,"family":"Hill","given":"Daniel","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":739981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dolan, Aisling M","contributorId":206287,"corporation":false,"usgs":false,"family":"Dolan","given":"Aisling","email":"","middleInitial":"M","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":739982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haywood, Alan M","contributorId":206288,"corporation":false,"usgs":false,"family":"Haywood","given":"Alan","email":"","middleInitial":"M","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":739983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":739979,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Risebrobakken, Bjorg","contributorId":206289,"corporation":false,"usgs":false,"family":"Risebrobakken","given":"Bjorg","email":"","affiliations":[{"id":37301,"text":"Bjerknes Centre for Climate Research, University of Norway","active":true,"usgs":false}],"preferred":false,"id":739984,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197800,"text":"ofr20181100 - 2018 - Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center Samples Repository","interactions":[{"subject":{"id":70197800,"text":"ofr20181100 - 2018 - Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center Samples Repository","indexId":"ofr20181100","publicationYear":"2018","noYear":false,"title":"Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center Samples Repository"},"predicate":"SUPERSEDED_BY","object":{"id":70238145,"text":"sir20225106 - 2022 - Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center samples repository","indexId":"sir20225106","publicationYear":"2022","noYear":false,"title":"Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center samples repository"},"id":1}],"supersededBy":{"id":70238145,"text":"sir20225106 - 2022 - Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center samples repository","indexId":"sir20225106","publicationYear":"2022","noYear":false,"title":"Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center samples repository"},"lastModifiedDate":"2022-11-14T20:49:46.741009","indexId":"ofr20181100","displayToPublicDate":"2018-07-12T15:00:00","publicationYear":"2018","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":"2018-1100","title":"Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center Samples Repository","docAbstract":"

Since 2002, the Woods Hole Coastal and Marine Science Center Samples Repository has been supporting research by providing secure storage for geological, biological, and geochemical samples; maintaining organization and an active inventory of these sample collections; and providing researchers access to these scientific collections for study and reuse.

Over the years, local storage facilities have changed and new collections management strategies have been adapted as sample collections have grown and as research programs and focuses have shifted. The commitment of the Samples Repository to preserve and provide physical samples for future research, however, has remained the same. This report documents the collections management plan developed and implemented by the Woods Hole Coastal and Marine Science Center Samples Repository to manage its scientific collections.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181100","usgsCitation":"Buczkowski, B.J., 2018, Collections management plan for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center Samples Repository: U.S. Geological Survey Open-File Report 2018–1100, 12 p., https://doi.org/10.3133/ofr20181100. [Supersedes USGS Open-File Report 2006–1187.]","productDescription":"Report: vii, 12 p.; Data Release; Project Site","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-088603","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":355640,"rank":4,"type":{"id":18,"text":"Project Site"},"url":"https://woodshole.er.usgs.gov/operations/ia/samprepo/","linkHelpText":"- U.S. Geological Survey Woods Hole Coastal and Marine Science Center Samples Repository"},{"id":355639,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7319TT0","text":"USGS data release","description":"USGS data release","linkHelpText":"Collections inventory for the U.S. Geological Survey Woods Hole Coastal and Marine Science Center Samples Repository"},{"id":355604,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1100/ofr20181100.pdf","text":"Report","size":"3.70 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1100"},{"id":355603,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1100/coverthb2.jpg"}],"contact":"

Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2018-07-12","noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b6fc417e4b0f5d57878e9d7","contributors":{"authors":[{"text":"Buczkowski, Brian J. 0000-0003-2801-6904","orcid":"https://orcid.org/0000-0003-2801-6904","contributorId":205823,"corporation":false,"usgs":true,"family":"Buczkowski","given":"Brian J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":738568,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70198018,"text":"fs20183039 - 2018 - A database of biodiversity and habitat quantification tools used in market-based conservation","interactions":[],"lastModifiedDate":"2018-07-16T13:13:36","indexId":"fs20183039","displayToPublicDate":"2018-07-12T14:45:00","publicationYear":"2018","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":"2018-3039","title":"A database of biodiversity and habitat quantification tools used in market-based conservation","docAbstract":"

Market-based conservation uses economic incentives to leverage market forces in ways that encourage and improve efficiency in the restoration, enhancement, and preservation of species and habitats. Biodiversity and habitat quantification tools are vital to the operation of this conservation strategy, as they are used to measure the quality and functionality of areas of land that have undergone or are proposed for preservation, improvement, or development activities (for example, construction of energy or transportation infrastructure and residential development).

The U.S. Geological Survey (USGS) Science and Decisions Center in partnership with the U.S. Department of Agriculture Office of Environmental Markets have created a database of the quantification tools available for use in biodiversity and habitat markets in the contiguous United States. This database provides landowners, regulatory agencies, tool developers, and the general public with a central location from which to search for and identify the tools applicable to specific species, habitats, or locations of interest, such as those shown in figures 1 and 2. The database contains summary information about the intended application and features of each tool and will be updated as the need to add new tools warrants.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183039","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Office of Environmental Markets","usgsCitation":"Chiavacci, S.J., and Pindilli, E.J., 2018, A database of biodiversity and habitat quantification tools used in market-based conservation: U.S. Geological Survey Fact Sheet 2018–3039, 4 p., https://doi.org/10.3133/fs20183039.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-095555","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":355521,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79G5M3X","text":"USGS data release","description":"USGS data release","linkHelpText":"Database of Biodiversity and Habitat Quantification Tools Used for Market-based Conservation in the United States"},{"id":355519,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3039/coverthb2.jpg"},{"id":355520,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3039/fs20183039.pdf","text":"Report","size":"3.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3039"}],"contact":"

Science and Decisions Center
U.S. Geological Survey
913 National Center
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-07-12","noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b6fc417e4b0f5d57878e9d9","contributors":{"authors":[{"text":"Chiavacci, Scott J. 0000-0003-3579-8377","orcid":"https://orcid.org/0000-0003-3579-8377","contributorId":206161,"corporation":false,"usgs":true,"family":"Chiavacci","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":739628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":739629,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198798,"text":"70198798 - 2018 - The flathead catfish invasion of the Great Lakes","interactions":[],"lastModifiedDate":"2018-10-12T15:54:22","indexId":"70198798","displayToPublicDate":"2018-07-12T14:06:01","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"The flathead catfish invasion of the Great Lakes","docAbstract":"

A detailed review of historical literature and museum data revealed that flathead catfish were not historically native in the Great Lakes Basin, with the possible exception of a relict population in Lake Erie. The species has invaded Lake Erie, Lake St. Clair, Lake Huron, nearly all drainages in Michigan, and the Fox/Wolf and Milwaukee drainages in Wisconsin. They have not been collected from Lake Superior yet, and the temperature suitability of that lake is questionable. Flathead catfish have been stocked sparingly in the Great Lakes and is not the mechanism responsible for their spread. A stocking in 1968 in Ohio may be one exception to this. Dispersal resulted from both natural range expansions and unauthorized introductions. The invasion is ongoing, with the species invading both from the east and the west to meet in northern Lake Michigan. Much of this invasion has likely taken place since the 1990s. This species has been documented to have significant impacts on native fishes in other areas where it has been introduced; therefore, educating the public not to release them into new waters is important. Frequent monitoring of rivers and lakes for the presence of this species would detect new populations early so that management actions could be utilized on new populations if desired.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2018.07.001","usgsCitation":"Fuller, P.L., and Whelan, G., 2018, The flathead catfish invasion of the Great Lakes: Journal of Great Lakes Research, v. 44, no. 5, p. 1081-1092, https://doi.org/10.1016/j.jglr.2018.07.001.","productDescription":"12 p.","startPage":"1081","endPage":"1092","ipdsId":"IP-090192 ","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":460877,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2018.07.001","text":"Publisher Index Page"},{"id":437829,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7V69HSC","text":"USGS data release","linkHelpText":"Flathead catfish occurrence data for the Great Lakes Basin 1890-2017"},{"id":356594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92,\n 40\n ],\n [\n -74,\n 40\n ],\n [\n -74,\n 49.5\n ],\n [\n -92,\n 49.5\n ],\n [\n -92,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02fcbe4b0fc368eb53986","contributors":{"authors":[{"text":"Fuller, Pamela L. 0000-0002-9389-9144 pfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":3217,"corporation":false,"usgs":true,"family":"Fuller","given":"Pamela","email":"pfuller@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":742993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whelan, Gary","contributorId":146115,"corporation":false,"usgs":false,"family":"Whelan","given":"Gary","email":"","affiliations":[{"id":16584,"text":"Fisheries Division, Michigan Department of Natural Resources, P.O. Box 30446, Lansing, MI 48909","active":true,"usgs":false}],"preferred":false,"id":742994,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202307,"text":"70202307 - 2018 - Rapid, remote assessment of Hurricane Matthew impacts using four-dimensional structure-from-motion photogrammetry","interactions":[],"lastModifiedDate":"2019-02-21T12:57:44","indexId":"70202307","displayToPublicDate":"2018-07-12T12:57:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Rapid, remote assessment of Hurricane Matthew impacts using four-dimensional structure-from-motion photogrammetry","docAbstract":"

Timely assessment of coastal landforms and structures after storms is important for evaluating storm impacts, aiding emergency response and restoration, and initializing and assessing morphological models. Four-dimensional multiview photogrammetry, also known as structure from motion (4D SfM), provides a method for generating three-dimensional reconstructions of landscapes at two times (before and after events) using only photos and existing information for ground control points. Here, these techniques were applied using National Oceanic and Atmospheric Administration (NOAA)-obtained oblique aerial photos taken before (2015) and immediately after Hurricane Matthew (2016) to assess coastal changes near Matanzas, Florida. This work demonstrated that 3D digital elevation models can be constructed within 48 hours of postevent photo collection without on-site ground control measurements. One advantage of timely SfM elevation-change assessments is that they avoid confusion of storm impacts with changes that occur after the event but before LIDAR surveys can be performed. The accuracy and precision of the 4D SfM maps were assessed a posteriori using the first-available LIDAR data, which were collected more than a month after the hurricane, and 11 independent ground-truth survey points measured a week after the hurricane. Horizontal coordinates of the 4D SfM reconstruction were biased by an average of 0.79 m (0.83 m root-mean-square difference; RMSD) compared with the ground-truth points, but vertical elevations were more accurate. They were biased from the LIDAR by −0.09 to −0.25 m, with ∼0.20 m RMSD from both the LIDAR data and five ground-truth points with good vertical positioning and 0.25 m RMSD from LIDAR data along a 60-m stretch of pavement. This level of precision was sufficient to quantify geomorphological change that was often in excess of 1 m. The methodology is conducive for rapid assessment of changes along short stretches (tens of kilometers) of coast with modest resources and could be scaled up for larger regions.

","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-18-00016.1","usgsCitation":"Sherwood, C.R., Warrick, J.A., Hill, A.D., Ritchie, A.C., Andrews, B.D., and Plant, N.G., 2018, Rapid, remote assessment of Hurricane Matthew impacts using four-dimensional structure-from-motion photogrammetry: Journal of Coastal Research, v. 34, no. 6, p. 1303-1316, https://doi.org/10.2112/JCOASTRES-D-18-00016.1.","productDescription":"14 p.","startPage":"1303","endPage":"1316","ipdsId":"IP-094558","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2112/jcoastres-d-18-00016.1","text":"Publisher Index Page"},{"id":361409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.23505592346191,\n 29.655164600486\n ],\n [\n -81.20484352111816,\n 29.655164600486\n ],\n [\n -81.20484352111816,\n 29.70676659773517\n ],\n [\n -81.23505592346191,\n 29.70676659773517\n ],\n [\n -81.23505592346191,\n 29.655164600486\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Andrew D.","contributorId":213440,"corporation":false,"usgs":false,"family":"Hill","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":757730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritchie, Andrew C. 0000-0002-5906-1014 aritchie@usgs.gov","orcid":"https://orcid.org/0000-0002-5906-1014","contributorId":213438,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrews, Brian D. 0000-0003-1024-9400 bandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-1024-9400","contributorId":201662,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":757729,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198361,"text":"70198361 - 2018 - Breaching of strike-slip faults and successive flooding of pull-apart basins to form the Gulf of California seaway from ca. 8–6 Ma","interactions":[],"lastModifiedDate":"2018-08-02T11:25:09","indexId":"70198361","displayToPublicDate":"2018-07-12T11:25:03","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Breaching of strike-slip faults and successive flooding of pull-apart basins to form the Gulf of California seaway from ca. 8–6 Ma","docAbstract":"

The geologic record of the formation of marine basins during continental rifting is uncommonly preserved. Using GIS-based paleotectonic maps, we show that marine basin formation in the Gulf of California–Salton trough oblique rift (Mexico and the United States) occurred in a stepwise manner as crustal thinning lowered elevations within the Gulf of California Shear Zone, and subsidence along strike-slip and transtensional faults linked isolated pull-apart basins. At 8 Ma, the earliest marine conditions in the Gulf of California were restricted to an embayment at its southern mouth. Farther north, the plate boundary was a set of continental strike-slip faults and linked pull-apart basins, similar to the modern Walker Lane in Nevada and California. By ca. 7 Ma, a series of marine incursions breached across strike-slip faults to the Pescadero and Farallon basins. Marine waters then breached a 75–100 km-long transtensional fault zone between the Farallon and Guaymas basins, with intermittent flooding that led to accumulation of extensive evaporite deposits in the Guaymas basin. Marine incursion north of the Guaymas basin via breaches across the Guaymas and Tiburón strike-slip faults and transtensional zones resulted in flooding of the northern >500 km of the oblique rift by 6.5–6.3 Ma. Thus, strike-slip and transtensional faulting promoted localization of plate boundary strain and guided punctuated marine flooding of the Gulf of California seaway. Inception of the narrow, 1500-km-long Gulf of California at ca. 6.3 Ma was followed by complete continental rupture in the Guaymas basin at ca. 6.0 Ma.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G40242.1","usgsCitation":"Umhoefer, P.J., Darin, M.H., Bennett, S.E., Skinner, L.A., Dorsey, R.J., and Oskin, M.E., 2018, Breaching of strike-slip faults and successive flooding of pull-apart basins to form the Gulf of California seaway from ca. 8–6 Ma: Geology, v. 46, no. 8, p. 695-698, https://doi.org/10.1130/G40242.1.","productDescription":"4 p.","startPage":"695","endPage":"698","ipdsId":"IP-095497","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g40242.1","text":"Publisher Index Page"},{"id":356107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b6fc417e4b0f5d57878e9db","contributors":{"authors":[{"text":"Umhoefer, Paul J.","contributorId":200335,"corporation":false,"usgs":false,"family":"Umhoefer","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":741254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Darin, Michael H.","contributorId":200333,"corporation":false,"usgs":false,"family":"Darin","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":741255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":741253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skinner, Lisa A.","contributorId":200334,"corporation":false,"usgs":false,"family":"Skinner","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":741257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":741256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oskin, Michael E.","contributorId":191806,"corporation":false,"usgs":false,"family":"Oskin","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":741258,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197297,"text":"sir20185043 - 2018 - Flood-inundation maps for the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island","interactions":[],"lastModifiedDate":"2018-07-13T11:46:00","indexId":"sir20185043","displayToPublicDate":"2018-07-12T08:15:00","publicationYear":"2018","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":"2018-5043","title":"Flood-inundation maps for the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island","docAbstract":"

A series of 15 digital flood-inundation maps was developed for a 10.2-mile reach of the Pawtuxet River in the municipalities of West Warwick, Warwick, and Cranston, Rhode Island, by the U.S. Geological Survey (USGS), in cooperation with the Rhode Island Emergency Management Agency and the U.S. Army Corps of Engineers. The coverage of the maps extends downstream from Natick Pond dam near State Route 33/Providence Street bridge in West Warwick to the mouth of the river at Pawtuxet Cove (Broad Street bridge) on the border between Cranston and Warwick, R.I. A one-dimensional step-backwater hydraulic model created and calibrated for the Federal Emergency Management Agency Flood Insurance Studies for Kent and Providence Counties in 2015 was updated for this study. The updated hydraulic model reflects the removal of the Pawtuxet Falls dam during 2011 and the raised elevation of a levee surrounding the Warwick Sewer Authority wastewater treatment facility during 2014–17. The hydraulic model was calibrated by using the current (2018) stage-discharge relation at the USGS Pawtuxet River at Cranston, Rhode Island, streamgage (01116500) and documented high-water marks from the March 31, 2010, flood, which had a peak flow greater than the estimated 0.2-percent annual exceedance probability floodflow.

The hydraulic model was used to compute water-surface profiles for 15 flood stages at 1-foot (ft) intervals referenced to the USGS Pawtuxet River at Cranston, Rhode Island, streamgage (01116500) and ranging from 8.0 ft (15.2 ft, North American Vertical Datum of 1988), which is the National Weather Service Advanced Hydrologic Prediction Service flood category “action stage,” to 22.0 ft (29.2 ft, North American Vertical Datum of 1988), which is the maximum stage of the stage-discharge relation at the streamgage and exceeds the National Weather Service Advanced Hydrologic Prediction Service flood category “major flood stage” of 13.0 ft. The simulated water-surface profiles were combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data with a 1.0-ft vertical accuracy to create flood-inundation maps. The flood-inundation maps depict estimates of the areal extent and depth of flooding corresponding to 15 selected flood stages at the streamgage. The flood-inundation maps depict only riverine flooding and do not depict any tidal backwater or coastal storm surge that might occur in the lower part of the river reach. The flood-inundation maps can be accessed through the USGS Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation. Near-real-time stages and discharges at the Pawtuxet River streamgage can be obtained from the USGS National Water Information System at https://waterdata.usgs.gov/. The National Weather Service Advanced Hydrologic Prediction Service provides flood forecasts of stage for this site (CRAR1) at https:/water.weather.gov/ahps/.

The availability of flood-inundation maps referenced to current and forecasted water levels at the USGS Pawtuxet River at Cranston, Rhode Island, streamgage (01116500) can provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, and postflood recovery efforts. The flood-inundation maps are nonregulatory but provide Federal, State, and local agencies and the public with estimates of the potential extent of flooding during flood events.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185043","collaboration":"Prepared in cooperation with the Rhode Island Emergency Management Agency and the U.S. Army Corps of Engineers","usgsCitation":"Bent, G.C., and Lombard, P.J., 2018, Flood-inundation maps for the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island: U.S. Geological Survey Scientific Investigations Report 2018–5043, 16 p., https://doi.org/10.3133/sir20185043.","productDescription":"Report: vii, 16 p.; Application; Data Release","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-090311","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":355600,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5043/sir20185043.pdf","text":"Report","size":"1.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5043"},{"id":355601,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78C9V6B","text":"USGS data release","description":"USGS data release","linkHelpText":"Flood-inundation Grids and Shapefiles for the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island"},{"id":355602,"rank":4,"type":{"id":4,"text":"Application Site"},"url":"https://wimcloud.usgs.gov/apps/FIM/FloodInundationMapper.html","linkHelpText":"- Flood Inundation Mapper"},{"id":355599,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5043/coverthb.jpg"}],"country":"United States","state":"Rhode Island","city":"Cranston, Warwick, West Warwick","otherGeospatial":"Pawtuxet River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.630859375,\n 41.572306568724365\n ],\n [\n -71.27105712890625,\n 41.572306568724365\n ],\n [\n -71.27105712890625,\n 41.912497421968425\n ],\n [\n -71.630859375,\n 41.912497421968425\n ],\n [\n -71.630859375,\n 41.572306568724365\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2018-07-12","noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b6fc418e4b0f5d57878e9dd","contributors":{"authors":[{"text":"Bent, Gardner C. 0000-0002-5085-3146","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":205226,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":205225,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela","email":"","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736572,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216332,"text":"70216332 - 2018 - Limited nitrate retention capacity in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2020-11-12T14:19:13.634131","indexId":"70216332","displayToPublicDate":"2018-07-12T08:13:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Limited nitrate retention capacity in the Upper Mississippi River","docAbstract":"

The Mississippi River and other large rivers have the potential to regulate nitrogen export from terrestrial landscapes, and thus mitigate eutrophication in downstream aquatic ecosystems. In large rivers, human-constructed impoundments and connected backwaters may facilitate nitrogen removal; however, the capacity of these features is poorly quantified and incompletely incorporated into model frameworks. Using a high-resolution and spatially intensive sampling technique, we assessed the contribution of individual navigation pools, as well as impounded open waters and backwater wetlands within them, to overall nitrate retention by mapping the entire length (1370 km) of the Upper Mississippi River (UMR) main channel. Based on this single spatial survey of water chemistry, the river appeared to act primarily as a passive nitrate transporter, retaining only 12.5% of the incoming load, most of which occurred in the upper 150 km of the river, which includes the largest and only naturally impounded reach of the river. Although reservoirs typically are nitrogen sinks, our data indicate that UMR dams do not impede river flows to the extent necessary to promote substantial changes in water residence times and subsequent nitrogen removal. Backwaters routinely had lower nitrate concentrations than the main channel, but their limited hydrologic connectivity to the through-flowing river channel constrained their influence on downstream export. As a whole, the UMR did not remove a substantial proportion of its nitrate load despite optimal N removal conditions, numerous impoundments, and the presence of extensive backwater habitats. These results suggest that efforts to reduce delivery of nitrogen to the Gulf of Mexico should emphasize mitigation strategies that target upland nutrient sources rather than relying on removal within the Mississippi River.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/aacd51","usgsCitation":"Loken, L.C., Crawford, J.T., Dornblaser, M.M., Striegl, R.G., Houser, J.N., Turner, P.A., and Stanley, E.H., 2018, Limited nitrate retention capacity in the Upper Mississippi River: Environmental Research Letters, v. 13, no. 7, 14 p., https://doi.org/10.1088/1748-9326/aacd51.","productDescription":"14 p.","ipdsId":"IP-099033","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":468593,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aacd51","text":"Publisher Index Page"},{"id":380447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.0869140625,\n 45.82879925192134\n ],\n [\n -94.2626953125,\n 45.36758436884978\n ],\n [\n -92.8564453125,\n 44.5278427984555\n ],\n [\n -92.4169921875,\n 43.96119063892024\n ],\n [\n -91.58203125,\n 43.100982876188546\n ],\n [\n -91.0546875,\n 42.293564192170095\n ],\n [\n -91.318359375,\n 41.672911819602085\n ],\n [\n -92.10937499999999,\n 40.81380923056958\n ],\n [\n -92.10937499999999,\n 40.17887331434696\n ],\n [\n -91.4501953125,\n 39.13006024213511\n ],\n [\n -90.966796875,\n 38.685509760012\n ],\n [\n -90.966796875,\n 38.30718056188316\n ],\n [\n -90.3076171875,\n 37.64903402157866\n ],\n [\n -89.384765625,\n 37.020098201368114\n ],\n [\n -89.20898437499999,\n 36.80928470205937\n ],\n [\n -89.033203125,\n 37.33522435930639\n ],\n [\n -89.912109375,\n 39.13006024213511\n ],\n [\n -91.14257812499999,\n 39.9434364619742\n ],\n [\n -90.65917968749999,\n 41.07935114946899\n ],\n [\n -89.9560546875,\n 42.4234565179383\n ],\n [\n -90.65917968749999,\n 43.644025847699496\n ],\n [\n -91.8896484375,\n 45.120052841530544\n ],\n [\n -94.0869140625,\n 45.82879925192134\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"7","noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":804721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","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":true,"id":804722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":804723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":804724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":804725,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turner, Peter A 0000-0003-0839-1408","orcid":"https://orcid.org/0000-0003-0839-1408","contributorId":244831,"corporation":false,"usgs":false,"family":"Turner","given":"Peter","email":"","middleInitial":"A","affiliations":[{"id":37643,"text":"University of Minnesota-Twin Cities","active":true,"usgs":false}],"preferred":false,"id":804726,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":804727,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196300,"text":"ofr20181058 - 2018 - A comparison of synthetic flowpaths derived from light detection and ranging topobathymetric data and National Hydrography Dataset High Resolution Flowlines","interactions":[],"lastModifiedDate":"2018-07-16T13:14:50","indexId":"ofr20181058","displayToPublicDate":"2018-07-12T00:00:00","publicationYear":"2018","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":"2018-1058","title":"A comparison of synthetic flowpaths derived from light detection and ranging topobathymetric data and National Hydrography Dataset High Resolution Flowlines","docAbstract":"

Bathymetric and topobathymetric light detection and ranging (lidar) digital elevation models created for the Delaware River were provided to the National Geospatial Program and used to evaluate synthetic flowpath extraction from bathymetric/topobathymetric lidar survey data as a data source for improving the density, distribution, and connectivity of the National Hydrography Dataset High Resolution Flowline Network. As the surface-water component of The National Map, the National Hydrography Dataset maintains the Nation’s drainage network flow information and geometries for surface-water features used in hydrologic, hydraulic, and other science and engineering disciplines. The regional lidar survey for the Delaware River between Hancock, New York, and Trenton, New Jersey, was collected for the U.S. Geological Survey using the Experimental Advanced Airborne Research Lidar sensor system and processed by the Coastal National Elevation Database Applications Program.

Using 1 percent of the maximum flow accumulation value for the surveyed Delaware River corridor as the flow accumulation threshold for grid cells at 1-, 5-, and 10-meter resolution created 223 to 283 kilometers of synthetic flowpaths potentially representing the river channel thalweg, which is the deepest point in a riverbed cross-section. There was potential for improving the High Resolution National Hydrography Dataset (HR NHD) Flowline network in places where the Delaware River channel, depicted as an Artificial Path in the HR NHD, is offset from the extracted synthetic river flowpath which sometimes appeared better positioned than the Artificial Path to represent the river thalweg. For the same area, using 0.05 percent of the maximum flow accumulation at the 1-, 5-, and 10-meter resolutions extracted 744 to 1,317 kilometers of synthetic flowpaths, with extracted synthetic flowpaths representing the main river channel and additional synthetic flowpaths representing tributaries or streams adjacent to the main channel. Overlaying these results with the HR NHDFlowline Network indicates that some of the additional synthetic flowpaths are connected to or extend HR NHD stream/river feature types. Some disconnected or isolated synthetic flowpaths not included in stream/river feature types were validated in orthoimagery and U.S. Topo Maps and provide examples of how extracted synthetic flowpaths could be used to delineate new stream/river features. Other additional extracted synthetic flowpaths depict linear features such as canals, tree lines, roads, or linear topographic depressions.

For some river reaches where obstructions to flow or where low-relief topographic or bathymetric surfaces alter the flow direction, the software tool used to develop the flow direction grid did not calculate a primary flowpath for the river channel. Based on the results of this analysis, site conditions for the Delaware River corridor did not affect the quality of lidar bathymetric survey data. However, depending on the resolution of the lidar bathymetric digital elevation models (BDEMs), site conditions do have different effects on results for extracted synthetic flowpaths. We found that synthetic flowpaths extracted from 1-meter resolution lidar DEMs had more varied flow directions around in-channel landforms that obstructed flow than synthetic flowpaths extracted from 5- or 10-meter resolution lidar DEMs. As a result the 1-meter resolution DEM created some isolated or discontinuous synthetic flowpath segments where the 5- and 10-meter DEMs developed more continuous flowpaths. In this case the river bed upstream from the in-channel obstruction is shallower than the river bed downstream. Under these conditions the 1-meter resolution DEM provided synthetic flowpaths delineating a potential river thalweg. In this same area, the software solution modified (virtually raised) the river bed in the 5- and 10-meter resolution DEMs and flattened the bathymetric surface to create a continuous downstream flow direction, which caused trellis-patterned synthetic flowpaths to form. Under different site conditions and converse to the above development of synthetic flowpaths at different resolutions, at an abandoned river flood plain (terrace) with low relief that is adjacent to the river channel, the flow direction grid for the 1-meter resolution DEM developed continuous synthetic flowpath corresponding to a HR NHD Flowline network stream/river feature that connected to the main river channel but the larger resolution DEMs created isolated or disconnected synthetic flowpaths.

A project to continue an evaluation of benefits of or issues caused by extracting synthetic flowpaths to enhance the HR NHD could include a study to assess the potential for merging surface-water flowpaths extracted from lidar topobathymetry and 3D Elevation Program digital elevation models. The merged DEM approach to synthetic flowpath extraction could extend the HR NHDFlowline network and enhance flow accumulations that might develop better flow direction grids in low-relief areas. Because of the confined lateral extent of the Delaware River, the lidar DEMs were not used to create catchments or watersheds; however, the merged DEM approach could also be tested as a resource for enhancing HR NHD catchments and watersheds.

This lidar DEM synthetic flowpath extraction project supports the National Geospatial Program efforts to collect and produce high-quality lidar data to provide 3-dimensional representations of natural feature and aligns with the National Spatial Data Infrastructure to improve utilization of geospatial data. The results also can be useful for understanding strategies that can help maintain quality data in the HR NHD programs.

KEYWORDS: bathymetric, digital elevation model, extracted synthetic flowpath, lidar, High Resolution National Hydrography Dataset, topobathymetric

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181058","usgsCitation":"Miller-Corbett, C., 2018, A comparison of synthetic flowpaths derived from light detection and ranging topobathymetric data and National Hydrography Dataset high resolution flowlines: U.S. Geological Survey Open-File Report 2018–1058, 29 p., https://doi.org/10.3133/ofr20181058.","productDescription":"vii, 29 p.","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-079961","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":355596,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1058/ofr20181058.pdf","text":"Report","size":"4.32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1058"},{"id":355595,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1058/coverthb.jpg"}],"country":"United States","state":"New Jersey","city":"Hancock Narrows, Middle River, Trenton","otherGeospatial":"Delaware River","contact":"

Director, National Geospatial Technical Operations Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-07-12","noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b6fc418e4b0f5d57878e9df","contributors":{"authors":[{"text":"Miller-Corbett, Cynthia 0000-0002-9740-2502 cmcorbet@usgs.gov","orcid":"https://orcid.org/0000-0002-9740-2502","contributorId":203758,"corporation":false,"usgs":true,"family":"Miller-Corbett","given":"Cynthia","email":"cmcorbet@usgs.gov","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":732234,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70197844,"text":"sir20185083 - 2018 - Temporal and spatial monitoring of cyanobacterial blooms at Willow Creek Reservoir, North-Central Oregon","interactions":[],"lastModifiedDate":"2018-07-13T11:26:04","indexId":"sir20185083","displayToPublicDate":"2018-07-11T00:00:00","publicationYear":"2018","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":"2018-5083","title":"Temporal and spatial monitoring of cyanobacterial blooms at Willow Creek Reservoir, North-Central Oregon","docAbstract":"

The U.S. Geological Survey (USGS) and U.S. Army Corps of Engineers (USACE) investigated the spatial and temporal dynamics of cyanobacterial (blue-green algal) blooms in Willow Creek Reservoir in north-central Oregon in 2015–16. A combination of cameras and water-quality monitoring equipment was used to assess the frequency and duration of blooms and their effects on water quality. A surveillance camera captured color images every 15 minutes during daylight hours of the northwestern corner of Willow Creek Reservoir, where surface blooms tend to accumulate due to the prevailing summer winds. In 2015, a water-quality instrument was deployed in the northwestern corner of the reservoir to continuously measure water temperature, pH, dissolved oxygen, specific conductance, turbidity, total chlorophyll, and the blue-green algae pigment phycocyanin. In 2016, a water-quality instrument was used to collect measurements along transects throughout the reservoir to create spatial maps of water quality. The spatially integrated mapping process was repeated on three different days under varying algal conditions. Also in 2016, a telemetry connection was established allowing resource managers to view the reservoir images in near-real time.

Results from 2015 indicate that surface accumulations of cyanobacteria can form and dissipate within minutes in the reservoir, and that blooms can cause substantial changes to water quality. A persistent cyanobacterial bloom in August and September 2015 resulted in pH values of 9.5 standard units, 220 percent oxygen saturation, and pronounced increases in turbidity and total chlorophyll. The stationary water-quality instrument collected data during periods with and without blooms, increasing our understanding of the effects of blooms on water quality and revealing potential restoration benchmarks for the freshwater reservoir. The spatially integrated mapping data showed the variation in water quality across the reservoir that occurs during blooms and baseline conditions and indicated regions of the reservoir to focus restoration efforts. Additional spatial data collection can be timed to collect daily extremes.

The camera deployment in 2016 demonstrated that telemetering images from remote sites is possible and provides valuable and timely information. Monitoring with a surveillance camera is inexpensive and supplies data regarding surface-bloom presence or absence. The use of a camera can help target site visits to periods when blooms are observed, which may increase the accuracy of beginning and ending dates for water body closures.

Monitoring cyanobacterial blooms in Willow Creek Reservoir with multiple devices provided a more comprehensive dataset than any one monitoring method. The camera images showed when a surface bloom initiated and dissipated while the water-quality instrument revealed the magnitude, or potential severity, of the effects on water quality.  

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185083","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Smith, C.D., 2018, Temporal and spatial monitoring of cyanobacterial blooms at Willow Creek Reservoir, north-central Oregon: U.S. Geological Survey Scientific Investigations Report 2018–5083, 26 p., https://doi.org/10.3133/sir20185083.","productDescription":"v, 26 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-096392","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":355555,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5083/coverthb2.jpg"},{"id":355556,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5083/sir20185083.pdf","text":"Report","size":"21.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5083"}],"country":"United States","state":"Oregon","city":"Keppner","otherGeospatial":"Willow Creek Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.55923080444335,\n 45.33187500352944\n ],\n [\n -119.51288223266602,\n 45.33187500352944\n ],\n [\n -119.51288223266602,\n 45.35781478828095\n ],\n [\n -119.55923080444335,\n 45.35781478828095\n ],\n [\n -119.55923080444335,\n 45.33187500352944\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon, 97201

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-07-11","noUsgsAuthors":false,"publicationDate":"2018-07-11","publicationStatus":"PW","scienceBaseUri":"5b46e53ae4b060350a15d04b","contributors":{"authors":[{"text":"Smith, Cassandra D. 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":205220,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":738730,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70197413,"text":"ds1089 - 2018 - Pesticide inputs to the Sacramento–San Joaquin Delta, 2015–16: Results from the Delta Regional Monitoring Program","interactions":[],"lastModifiedDate":"2018-07-16T13:16:57","indexId":"ds1089","displayToPublicDate":"2018-07-11T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1089","title":"Pesticide inputs to the Sacramento–San Joaquin Delta, 2015–16: Results from the Delta Regional Monitoring Program","docAbstract":"

Emergent hypotheses about causes of the pelagic organism decline in the Sacramento–San Joaquin Delta (Delta) indicate that a more complete understanding of the quality of water entering the Delta is needed. Less than half of all pesticides used in the Delta watershed are measured in samples collected for routine monitoring, and with new pesticides continually being registered for use, the concentrations of unmonitored pesticides in the Delta ecosystem are unknown. In response, a multi-year, cooperative effort to improve monitoring of mercury, nutrients, pathogens, and pesticides was begun by the Delta Regional Monitoring Program (RMP). In July 2015, the U.S. Geological Survey in cooperation with the Delta RMP began measuring concentrations of 154 pesticide compounds in monthly samples of surface water and suspended sediment collected at five major inputs to the Sacramento–San Joaquin Delta from July 2015 to June 2016. In addition to pesticide concentration measurements, field water-quality indicators (water temperature, specific conductance, dissolved oxygen, pH, and turbidity) were measured at each site and samples were collected for the analysis of dissolved organic carbon, dissolved copper, particulate organic carbon, particulate inorganic carbon, total particulate carbon, and total particulate nitrogen. Pesticide concentrations in particulates were measured in collected suspended-sediment samples by gas chromatography with mass spectrometry, whereas concentrations measured in surface-water samples utilized a combination of gas chromatography with mass spectrometry and liquid chromatography with tandem mass spectrometry. Samples were collected from two sites in the San Joaquin River watershed and at one site for each of the Mokelumne River, Sacramento River, and Ulatis Creek watersheds.

All water samples contained mixtures of 2–25 pesticides. Pesticides were detected in 100 percent of surface-water samples. A total of 54 pesticide compounds were detected in water samples during the study period (19 fungicides, 18 herbicides, 9 insecticides, 7 breakdown products, and 1 synergist). The most frequently detected pesticide compounds were the herbicides hexazinone (95 percent) and diuron (73 percent) and the fungicides boscalid (93 percent) and azoxystrobin (75 percent). Pesticide concentrations ranged from below the method detection limits to 2,630 nanograms per liter for the herbicide metolachlor.

A total of 11 pesticide compounds were detected in the suspended sediments filtered from water samples (6 herbicides, 3 insecticides, 1 fungicide, and 1 breakdown product). The most frequently detected compounds were the insecticides permethrin (7 percent) and bifenthrin (5 percent) and the herbicide pendimethalin (5 percent). Pesticide concentrations in the suspended-sediment ranged from below the method detection limit to 265 nanograms per liter for the herbicide pendimethalin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1089","collaboration":"Prepared in cooperation with the Delta Regional Monitoring Program","usgsCitation":"De Parsia, M., Orlando, J.L., McWayne, M.M., and Hladik, M.L., 2018, Pesticide inputs to the Sacramento–San Joaquin Delta, 2015–16: Results from the Delta Regional Monitoring Program: U.S. Geological Survey Data Series 1089, 49 p., https://doi.org/10.3133/ds1089.","productDescription":"vi, 49 p.","numberOfPages":"59","onlineOnly":"Y","ipdsId":"IP-081632","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":355605,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1089/coverthb.jpg"},{"id":355606,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1089/ds1089_.pdf","text":"Report","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1089"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.310791015625,\n 37.483576550426996\n ],\n [\n -121.14624023437499,\n 37.483576550426996\n ],\n [\n -121.14624023437499,\n 38.44498466889473\n ],\n [\n -122.310791015625,\n 38.44498466889473\n ],\n [\n -122.310791015625,\n 37.483576550426996\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"
Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2018-07-11","noUsgsAuthors":false,"publicationDate":"2018-07-11","publicationStatus":"PW","scienceBaseUri":"5b46e53be4b060350a15d04d","contributors":{"authors":[{"text":"De Parsia, Matthew D. 0000-0001-5806-5403","orcid":"https://orcid.org/0000-0001-5806-5403","contributorId":204707,"corporation":false,"usgs":true,"family":"De Parsia","given":"Matthew D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, James L. 0000-0002-0099-7221 jorlando@usgs.gov","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":1368,"corporation":false,"usgs":true,"family":"Orlando","given":"James","email":"jorlando@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":737079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McWayne, Megan M. 0000-0001-8069-6420","orcid":"https://orcid.org/0000-0001-8069-6420","contributorId":22214,"corporation":false,"usgs":true,"family":"McWayne","given":"Megan M.","affiliations":[],"preferred":false,"id":737080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":189904,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":737081,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70198053,"text":"70198053 - 2018 - An update on Toxoplasma gondii infections in northern sea otters (Enhydra lutris kenyoni) from Washington State, USA","interactions":[],"lastModifiedDate":"2018-07-12T22:20:58","indexId":"70198053","displayToPublicDate":"2018-07-11T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3686,"text":"Veterinary Parasitology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"An update on Toxoplasma gondii infections in northern sea otters (Enhydra lutris kenyoni) from Washington State, USA","title":"An update on Toxoplasma gondii infections in northern sea otters (Enhydra lutris kenyoni) from Washington State, USA","docAbstract":"

Toxoplasmosis in marine mammals is epidemiologically and clinically important. Toxoplasma gondii antibodies (by modified agglutination test, cut-off ≥1:25) were detected in serum of 65 of 70 (92.9%) northern sea otters (Enhydra lutris kenyoni) from Washington State, USA. Brains and/or muscles of 44 sea otters were bioassayed in mice (INF-γ knock-out [KO], Swiss Webster outbred [SW]) and viable T. gondii was isolated from 22 of 44 (50%); T. gondii strains were lethal to KO mice but not SW mice. These T. gondii isolates were further propagated in cell culture. Multi-locus PCR-RFLP genotyping of cell culture-derived tachyzoites revealed four different genotypes among 22 isolates including ToxoDB PCR-RFLP genotype #5 (14 isolates), #1 (three isolates), #3 (four isolates), and #167 (one isolate). PCR-DNA sequencing based genotyping using polymorphic gene GRA6 revealed one of four different alleles. Among the 14 RFLP genotype #5 strains, 10 have GRA6 sequences that match with the Type A, one match with the Type X, two strains did not generate sequence data, and one strain had double peaks at known polymorphic sites indicating a mixed infection. The seven strains belong to genotypes #1 and #3, all have identical sequences to T. gondii Type II reference isolate ME49. Genotype #167 strain has identical sequence to Type I reference strain. In summary, we observed high seroprevalence, and high rate of isolation of T. gondii from northern sea otters and predominant genotype #5 that has been previously reported a dominant and widespread strain among terrestrial wildlife in North America. GRA6 sequence analysis of the genotype #5 isolates indicated the dominance of Type A lineage in sea otters in Washington State.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.1016/j.vetpar.2018.05.011","usgsCitation":"Verma, S.K., Knowles, S., Cerqueira-Cezar, C.K., Kwok, O.C., Jiang, T., Su, C., and Dubey, J.P., 2018, An update on Toxoplasma gondii infections in northern sea otters (Enhydra lutris kenyoni) from Washington State, USA: Veterinary Parasitology, v. 258, p. 133-137, https://doi.org/10.1016/j.vetpar.2018.05.011.","productDescription":"5 p.","startPage":"133","endPage":"137","ipdsId":"IP-095836","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":355625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","volume":"258","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e538e4b060350a15d049","contributors":{"authors":[{"text":"Verma, Shiv K.","contributorId":167589,"corporation":false,"usgs":false,"family":"Verma","given":"Shiv","email":"","middleInitial":"K.","affiliations":[{"id":24764,"text":"US Department of Agriculture, Agricultural Research Service, Animal Parasitic Diseases Laboratory, Beltsville, MD, 20705-2350","active":true,"usgs":false}],"preferred":false,"id":739790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":739788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cerqueira-Cezar, Camila K.","contributorId":206207,"corporation":false,"usgs":false,"family":"Cerqueira-Cezar","given":"Camila","email":"","middleInitial":"K.","affiliations":[{"id":37284,"text":"United States Department of Agriculture, Agricultural Research Service, Beltsville Agricultural Research Center, Animal Parasitic Diseases Laboratory, Building 1001, Beltsville, MD, 20705-2350, USA","active":true,"usgs":false}],"preferred":false,"id":739791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kwok, Oliver C.","contributorId":167593,"corporation":false,"usgs":false,"family":"Kwok","given":"Oliver","email":"","middleInitial":"C.","affiliations":[{"id":24764,"text":"US Department of Agriculture, Agricultural Research Service, Animal Parasitic Diseases Laboratory, Beltsville, MD, 20705-2350","active":true,"usgs":false}],"preferred":false,"id":739792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jiang, Tiantian","contributorId":206208,"corporation":false,"usgs":false,"family":"Jiang","given":"Tiantian","email":"","affiliations":[{"id":37286,"text":"16\tDepartment of Microbiology, University of Tennessee, Knoxville, TN 37996-0845,","active":true,"usgs":false}],"preferred":false,"id":739793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Su, Chunlei","contributorId":167590,"corporation":false,"usgs":false,"family":"Su","given":"Chunlei","email":"","affiliations":[{"id":24765,"text":"University of Tennessee, Department of Microbiology, Knoxville, TN 37996-0845","active":true,"usgs":false}],"preferred":false,"id":739794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dubey, Jitender P.","contributorId":206206,"corporation":false,"usgs":false,"family":"Dubey","given":"Jitender","email":"","middleInitial":"P.","affiliations":[{"id":37284,"text":"United States Department of Agriculture, Agricultural Research Service, Beltsville Agricultural Research Center, Animal Parasitic Diseases Laboratory, Building 1001, Beltsville, MD, 20705-2350, USA","active":true,"usgs":false}],"preferred":false,"id":739789,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204571,"text":"70204571 - 2018 - Implicit decision framing as an unrecognized source of confusion in endangered species classification","interactions":[],"lastModifiedDate":"2019-08-05T12:19:40","indexId":"70204571","displayToPublicDate":"2018-07-10T12:15:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Implicit decision framing as an unrecognized source of confusion in endangered species classification","docAbstract":"Legal classification of species requires scientific and values‐based components, and how those components interact depends on how people frame the decision. Is classification a negotiation of trade‐offs, a decision on how to allocate conservation efforts, or simply a comparison of the biological status of a species to a legal standard? The answers to problem‐framing questions such as these influence decision making in species classifications. In our experience, however, decision makers, staff biologists, and stakeholders often have differing perspectives of the decision problem and assume different framings. In addition to differences between individuals, in some cases it appears individuals themselves are unclear about the decision process, which contributes to regulatory paralysis, litigation, and a loss of trust by agency staff and the public. We present 5 framings: putting species in the right bin, doing right by the species over time, saving the most species on a limited budget, weighing extinction risk against other objectives, and strategic classification to advance conservation. These framings are inspired by elements observed in current classification practices. Putting species in the right bin entails comparing a scientific status assessment with policy thresholds and accounting for potential misclassification costs. Doing right by the species adds a time dimension to the classification decision, and saving the most species on a limited budget classifies a suite of species simultaneously. Weighing extinction risk against other objectives would weigh ecological or socioeconomic concerns in classification decisions, and strategic classification to advance conservation would make negotiation a component of classification. We view these framings as a means to generate thought, discussion, and movement toward selection and application of explicit classification framings. Being explicit about the decision framing could lead decision makers toward more efficient and defensible decisions, reduce internal confusion and external conflict, and support better collaboration between scientists and policy makers.","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13185","usgsCitation":"Cummings, J., Converse, S.J., Smith, D., Morey, S., and Runge, M.C., 2018, Implicit decision framing as an unrecognized source of confusion in endangered species classification: Conservation Biology, v. 32, no. 6, p. 1246-1254, https://doi.org/10.1111/cobi.13185.","productDescription":"9 p.","startPage":"1246","endPage":"1254","ipdsId":"IP-085771","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468594,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.13185","text":"Publisher Index Page"},{"id":366266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cummings, Jonathan 0000-0001-8028-5787 jwcummings@usgs.gov","orcid":"https://orcid.org/0000-0001-8028-5787","contributorId":139320,"corporation":false,"usgs":true,"family":"Cummings","given":"Jonathan","email":"jwcummings@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":767607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":767606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David R.","contributorId":173756,"corporation":false,"usgs":false,"family":"Smith","given":"David R.","affiliations":[],"preferred":false,"id":767679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morey, Steve","contributorId":147048,"corporation":false,"usgs":false,"family":"Morey","given":"Steve","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":767680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767608,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194826,"text":"ofr20171161 - 2018 - Long Island South Shore Estuary Reserve Coordinated Water Resources Monitoring Strategy","interactions":[],"lastModifiedDate":"2018-07-13T11:12:01","indexId":"ofr20171161","displayToPublicDate":"2018-07-10T11:30:00","publicationYear":"2018","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":"2017-1161","title":"Long Island South Shore Estuary Reserve Coordinated Water Resources Monitoring Strategy","docAbstract":"

Executive Summary

The Long Island South Shore Estuary Reserve Coordinated Water Resources Monitoring Strategy (CWRMS) provides an overview of the water-quality and ecological monitoring within the Reserve and presents suggestions from stakeholders for future data collection, data management, and coordination among monitoring programs. The South Shore Estuary Reserve, hereafter referred to as the Reserve, is a 173-square-mile network of bays and tributaries shaped by the south shore of Long Island (New York) and the barrier islands that was formed as a result of the last ice age (roughly 18,000 years ago). This overview and coordination document is based on information assembled from a series of meetings, a workshop, and individual correspondences with the CWRMS Project Advisory Committee, which was formed in 2015 to help guide the creation of the document, which reflects the current (2017) status of the Reserve and the need for additional data to address its water-quality issues and ecological health and to respond to a changing climate. The U.S. Geological Survey (USGS), in cooperation with the New York State Department of State Office of Planning, Development and Community Infrastructure and the South Shore Estuary Reserve Office, compiled information and recommendations to help stakeholders efficiently evaluate waters currently being monitored and address areas where necessary data are lacking. Water-quality monitoring in the Reserve is ongoing on the Federal, State, and local levels, and coordination among the various programs administered by the U.S. Environmental Protection Agency; National Oceanic and Atmospheric Administration; USGS; Shinnecock Tribal Nation; New York State; Nassau and Suffolk Counties; the Towns of Hempstead, Oyster Bay, Babylon, Islip, Brookhaven, and Southampton; and local universities and nonprofit organizations is necessary to ensure cooperation and efficient use of limited resources. Proper collection and archival of data are critical to the usability of data and methods—a sample of available repositories for monitoring data are provided in this report. Equally important are quality assurances of data and proper techniques of archival such that water and ecological data are collected and analyzed in a consistent manner, regardless of their sources, and that differences in methodologies are identified that might result in discrepancies in the compiled data. Details on monitoring programs, data gaps that are perceived by stakeholders and researchers in the area, and Project Advisory Committee recommendations are provided in this report to promote discussion and coordination. In most cases, resources to fill data gaps are needed, and the use of citizen science volunteers has been shown to help extend programs and provide insight into previously unaddressed areas of concern. This document, in conjunction with the CWRMS website and interactive mapper, is intended to inform the latest iteration of the Comprehensive Management Plan for the Reserve. Moreover, resource managers can use the CWRMS and mapper to identify areas of potential overlap and initiate conversations with stakeholders about addressing needs for additional monitoring of water quality and ecological health in the bays and tributaries of the Reserve.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171161","collaboration":"Prepared in cooperation with the New York State Department of State Office of Planning, Development and Community Infrastructure and the South Shore Estuary Reserve Office","usgsCitation":"Fisher, S.C., Welk, R.J., and Finkelstein, J.S., 2018, Long Island South Shore Estuary Reserve Coordinated Water Resources Monitoring Strategy: U.S. Geological Survey Open-File Report 2017–1161, 105 p., https://doi.org/10.3133/ofr20171161.","productDescription":"xi, 105 p.","numberOfPages":"122","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":352790,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1161/coverthb.jpg"},{"id":352791,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1161/ofr20171161.pdf","text":"Report","size":"3.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1161"},{"id":355586,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://ny.water.usgs.gov/maps/sser/","linkHelpText":"- South Shore Estuary Reserve Coordinated Water Resources Monitoring Strategy mapper"}],"country":"United States","state":"New York","otherGeospatial":"Long Island, South Shore Estuary Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.3939208984375,\n 40.27533480732468\n ],\n [\n -71.47705078125,\n 40.27533480732468\n ],\n [\n -71.47705078125,\n 41.422134246213616\n ],\n [\n -74.3939208984375,\n 41.422134246213616\n ],\n [\n -74.3939208984375,\n 40.27533480732468\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
2045 Route 112, Building 4
Coram, NY 11727

","tableOfContents":"","publishedDate":"2018-07-10","noUsgsAuthors":false,"publicationDate":"2018-07-10","publicationStatus":"PW","scienceBaseUri":"5b46e53be4b060350a15d04f","contributors":{"authors":[{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welk, Robert J. 0000-0003-0852-5584 rwelk@usgs.gov","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":194109,"corporation":false,"usgs":true,"family":"Welk","given":"Robert","email":"rwelk@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236 jfinkels@usgs.gov","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":4949,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason","email":"jfinkels@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":725481,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205251,"text":"70205251 - 2018 - Reestablishing a host–affiliate relationship: Migratory fish reintroduction increases native mussel recruitment","interactions":[],"lastModifiedDate":"2019-09-13T09:58:58","indexId":"70205251","displayToPublicDate":"2018-07-10T11:10:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Reestablishing a host–affiliate relationship: Migratory fish reintroduction increases native mussel recruitment","docAbstract":"

Co‐extirpation among host–affiliate species is thought to be a leading cause of biodiversity loss worldwide. Freshwater mussels (Unionida) are at risk globally and face many threats to survival, including limited access to viable host fish required to complete their life history. We examine the relationship between the common eastern elliptio mussel (Elliptio complanata) and its migratory host fish the American eel (Anguilla rostrata), whose distribution in the Chesapeake Bay watershed is limited, in part, by dams. We examined population demographics of E. complanata across locations in the Chesapeake Bay watershed, primarily in the Susquehanna River in the absence of American eels, and conducted experimental restocking of eels to assess potential impacts on mussel recruitment. Compared to surveys completed ~20 yr prior, E. complanata could be experiencing declines at several historically abundant sites. These sites also had extremely limited evidence of recruitment. Restoration of host fish improved recruitment, but results were not equivalent between stocking sites, indicating that host reintroduction alone may not be fully effective in reestablishing mussel populations. One site where eels were introduced (Pine Creek, Tioga County, Pennsylvania, USA) experienced an increase from 0 juveniles found during quantitative surveys prior to eel stocking to 151 (21% of individuals collected during quantitative surveys) E. complanata juveniles found four years after stocking. A second site (Buffalo Creek, Union County, Pennsylvania) experienced a more moderate increase from 2 to 7 juveniles found during 2010 and 2014 quantitative surveys, respectively. Continued examination of other potential interacting factors affecting recruitment, including water quality or habitat conditions, is necessary to target favorable sites for successful restoration.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1775","usgsCitation":"Galbraith, H.S., Devers, J.L., Blakeslee, C.J., Cole, J.C., St. John White, B., Minkkinen, S., and Lellis, W.A., 2018, Reestablishing a host–affiliate relationship: Migratory fish reintroduction increases native mussel recruitment: Ecological Applications, v. 28, no. 7, p. 1841-1852, https://doi.org/10.1002/eap.1775.","productDescription":"12 p.","startPage":"1841","endPage":"1852","ipdsId":"IP-090648","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":367318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania","otherGeospatial":"Buffalo Creek, Pine Creek, Susquehanna River","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-76.048373,38.12055],[-76.063661,38.126078],[-76.090872,38.11446],[-76.095548,38.125123],[-76.088639,38.192649],[-76.07147,38.203502],[-76.046539,38.201549],[-76.02217,38.177882],[-76.034038,38.157902],[-76.015155,38.131548],[-76.011916,38.122214],[-76.021305,38.108608],[-76.008168,38.095385],[-76.005904,38.07717],[-76.0233,38.07076],[-76.05831,38.094906],[-76.03962,38.11199],[-76.048373,38.12055]]],[[[-76.022325,37.953878],[-76.045561,37.953669],[-76.048617,38.014843],[-76.041668,38.032148],[-76.013128,38.039762],[-75.975494,38.020834],[-75.970345,38.008222],[-75.98502,38.001855],[-75.993905,37.953489],[-76.022325,37.953878]]],[[[-77.042045,38.720202],[-77.039498,38.791113],[-76.910795,38.891712],[-77.040999,38.99511],[-77.1199,38.934311],[-77.146601,38.96421],[-77.221502,38.97131],[-77.249803,38.985909],[-77.255703,39.002409],[-77.244603,39.020109],[-77.248403,39.026909],[-77.293105,39.046508],[-77.340287,39.062991],[-77.458202,39.073723],[-77.481279,39.105658],[-77.524559,39.127821],[-77.527282,39.146236],[-77.510631,39.178484],[-77.478596,39.189168],[-77.45768,39.22502],[-77.484664,39.246123],[-77.540581,39.264947],[-77.560854,39.286152],[-77.566596,39.306121],[-77.615939,39.302722],[-77.677123,39.324077],[-77.727379,39.321666],[-77.761115,39.339757],[-77.74593,39.353221],[-77.753274,39.37832],[-77.735905,39.389665],[-77.740012,39.401694],[-77.75872,39.42681],[-77.803249,39.437136],[-77.78856,39.442829],[-77.796196,39.461722],[-77.777815,39.461924],[-77.797787,39.47876],[-77.765551,39.493025],[-77.781608,39.499067],[-77.80183,39.489395],[-77.845666,39.498628],[-77.829045,39.514425],[-77.827188,39.530458],[-77.839061,39.531117],[-77.840651,39.520941],[-77.860195,39.514325],[-77.864315,39.534813],[-77.888648,39.558054],[-77.83633,39.56637],[-77.829814,39.587288],[-77.838008,39.606125],[-77.885124,39.615775],[-77.881823,39.600039],[-77.888477,39.597343],[-77.923298,39.604852],[-77.94194,39.61879],[-77.936371,39.594508],[-77.946182,39.584814],[-77.957642,39.608614],[-77.984815,39.59942],[-78.009985,39.602893],[-78.035992,39.63572],[-78.097118,39.678161],[-78.182759,39.69511],[-78.201081,39.677866],[-78.233138,39.672875],[-78.223864,39.662607],[-78.254077,39.640089],[-78.263371,39.621675],[-78.351905,39.640486],[-78.358264,39.63966],[-78.353878,39.627722],[-78.380504,39.629359],[-78.372404,39.612297],[-78.378181,39.608178],[-78.43025,39.62329],[-78.425581,39.607599],[-78.395317,39.584215],[-78.408031,39.578593],[-78.443175,39.591155],[-78.457187,39.587379],[-78.454376,39.574319],[-78.420019,39.551745],[-78.459274,39.535919],[-78.468639,39.516789],[-78.521388,39.52479],[-78.565929,39.519444],[-78.597659,39.53505],[-78.675629,39.540371],[-78.72501,39.563973],[-78.733149,39.58369],[-78.756747,39.58069],[-78.778141,39.601364],[-78.733759,39.613931],[-78.748499,39.626262],[-78.777516,39.621712],[-78.76534,39.643987],[-78.775241,39.645687],[-78.801741,39.627488],[-78.795857,39.606934],[-78.809347,39.608063],[-78.824788,39.590233],[-78.816764,39.561691],[-78.838553,39.5673],[-78.851196,39.559924],[-78.874744,39.522611],[-78.891197,39.5189],[-78.916488,39.486544],[-78.942618,39.479614],[-78.955483,39.442277],[-78.965484,39.438455],[-79.017147,39.466977],[-79.028159,39.46506],[-79.046276,39.483801],[-79.054989,39.473096],[-79.098059,39.472073],[-79.104217,39.448358],[-79.132193,39.418275],[-79.149581,39.407767],[-79.159213,39.413021],[-79.16722,39.393256],[-79.195543,39.38779],[-79.213961,39.36532],[-79.25227,39.356663],[-79.253891,39.337222],[-79.282037,39.323048],[-79.290236,39.299323],[-79.33238,39.299919],[-79.35375,39.278039],[-79.387023,39.26554],[-79.43983,39.217074],[-79.476037,39.203728],[-79.486862,39.205959],[-79.476662,39.721078],[-80.519342,39.721403],[-80.519405,41.976158],[-80.329976,42.036168],[-80.188085,42.094257],[-80.154084,42.114757],[-80.136213,42.149937],[-80.117368,42.166341],[-80.077388,42.171262],[-80.071981,42.155357],[-80.078781,42.151457],[-80.06108,42.144857],[-79.931324,42.206737],[-79.761951,42.26986],[-79.761374,41.999067],[-75.359579,41.999445],[-75.341125,41.992772],[-75.34246,41.974303],[-75.312817,41.950182],[-75.293713,41.954593],[-75.279094,41.938917],[-75.267773,41.901971],[-75.271292,41.88736],[-75.257564,41.877108],[-75.260527,41.8638],[-75.243345,41.866875],[-75.22572,41.857481],[-75.204002,41.869867],[-75.186993,41.860109],[-75.170565,41.871608],[-75.161541,41.849836],[-75.118789,41.845819],[-75.113334,41.822782],[-75.072172,41.813732],[-75.07827,41.797467],[-75.101463,41.787941],[-75.10464,41.774203],[-75.064901,41.766686],[-75.053431,41.752538],[-75.049699,41.715093],[-75.068642,41.710146],[-75.052736,41.688393],[-75.058765,41.674412],[-75.04992,41.662556],[-75.044224,41.617978],[-75.074626,41.607905],[-75.018524,41.551802],[-75.024757,41.535099],[-75.00385,41.524052],[-74.999612,41.5074],[-74.987645,41.508738],[-74.983341,41.480894],[-74.917282,41.477041],[-74.890358,41.455324],[-74.896025,41.439987],[-74.888691,41.438259],[-74.858578,41.444427],[-74.830671,41.430503],[-74.805655,41.442101],[-74.795396,41.42398],[-74.784339,41.422397],[-74.736688,41.429228],[-74.738554,41.401191],[-74.713411,41.389814],[-74.689516,41.363843],[-74.720923,41.347384],[-74.753239,41.346122],[-74.771588,41.325079],[-74.79504,41.320407],[-74.792377,41.314088],[-74.830057,41.2872],[-74.861678,41.241575],[-74.860837,41.222317],[-74.882139,41.180836],[-74.923169,41.138146],[-74.979873,41.110423],[-74.991718,41.092284],[-74.969434,41.096074],[-74.968389,41.087797],[-75.01257,41.066281],[-75.02543,41.04071],[-75.130575,40.991093],[-75.13378,40.970973],[-75.122603,40.970152],[-75.050839,40.868067],[-75.064328,40.848338],[-75.097221,40.844672],[-75.083929,40.824471],[-75.108505,40.791094],[-75.139106,40.773606],[-75.169523,40.778473],[-75.196533,40.751631],[-75.182084,40.731522],[-75.20392,40.691498],[-75.19692,40.681299],[-75.177587,40.677731],[-75.200452,40.649219],[-75.188579,40.624628],[-75.201348,40.614628],[-75.192291,40.602676],[-75.194046,40.576256],[-75.168609,40.564111],[-75.141906,40.575273],[-75.117292,40.573211],[-75.068615,40.542223],[-75.062227,40.481391],[-75.070568,40.456348],[-75.056102,40.416066],[-75.028315,40.403883],[-74.996378,40.410528],[-74.969597,40.39977],[-74.942954,40.341643],[-74.868209,40.295207],[-74.842308,40.250508],[-74.77136,40.215399],[-74.721604,40.15381],[-74.740605,40.13521],[-74.782106,40.12081],[-74.819007,40.12751],[-74.859809,40.08491],[-74.944412,40.063211],[-75.007914,40.023111],[-75.047016,40.008912],[-75.072017,39.980612],[-75.12692,39.961112],[-75.13612,39.933912],[-75.12792,39.911813],[-75.145421,39.884213],[-75.189323,39.880713],[-75.243431,39.854597],[-75.341765,39.846082],[-75.415041,39.801786],[-75.463341,39.823812],[-75.518444,39.836311],[-75.634706,39.830164],[-75.716969,39.791998],[-75.753066,39.757631],[-75.773558,39.722411],[-75.788359,39.721811],[-75.693521,38.460128],[-75.053483,38.451274],[-75.054591,38.41483],[-75.073852,38.352006],[-75.087466,38.322769],[-75.102947,38.311525],[-75.204684,38.079317],[-75.241817,38.027802],[-75.624341,37.994211],[-75.633833,37.984519],[-75.628855,37.977798],[-75.641823,37.975967],[-75.647606,37.947027],[-75.655681,37.945435],[-75.671681,37.966576],[-75.708179,37.974972],[-75.735125,37.964592],[-75.783444,37.972565],[-75.832414,37.933313],[-75.881913,37.912563],[-75.895791,37.921406],[-75.890871,37.954847],[-75.898956,37.974514],[-75.875297,38.011965],[-75.87319,38.034375],[-75.847922,38.03437],[-75.812913,38.058932],[-75.839935,38.071314],[-75.874189,38.060288],[-75.880515,38.075011],[-75.865697,38.098036],[-75.837204,38.114468],[-75.827993,38.132803],[-75.843862,38.144599],[-75.866,38.134886],[-75.900355,38.14115],[-75.932738,38.126216],[-75.936663,38.109956],[-75.959496,38.136915],[-75.942375,38.187066],[-75.848473,38.20934],[-75.851396,38.226432],[-75.87031,38.243425],[-75.888513,38.241423],[-75.890669,38.228009],[-75.911143,38.257951],[-75.938577,38.272329],[-75.954483,38.264366],[-75.946414,38.23889],[-75.970514,38.233668],[-75.962235,38.24754],[-76.016291,38.307206],[-75.964237,38.324285],[-75.961948,38.341431],[-75.971541,38.361069],[-76.001839,38.374343],[-76.016682,38.332429],[-76.047992,38.313044],[-76.05022,38.304101],[-76.028234,38.282035],[-76.043927,38.249712],[-76.032044,38.216684],[-76.05801,38.227079],[-76.073493,38.248609],[-76.09972,38.253647],[-76.111296,38.286946],[-76.137238,38.281648],[-76.166154,38.290431],[-76.180115,38.277019],[-76.164388,38.250061],[-76.126623,38.242949],[-76.140068,38.231305],[-76.17335,38.247037],[-76.211446,38.302656],[-76.254473,38.31512],[-76.264186,38.346436],[-76.238452,38.347986],[-76.256788,38.366712],[-76.273003,38.366483],[-76.28302,38.413512],[-76.331383,38.473323],[-76.33636,38.492235],[-76.327257,38.500121],[-76.263968,38.503452],[-76.247894,38.523019],[-76.244396,38.536966],[-76.274057,38.531207],[-76.281047,38.53613],[-76.27964,38.557231],[-76.308321,38.571769],[-76.273496,38.59139],[-76.268633,38.597753],[-76.279589,38.60952],[-76.271827,38.615661],[-76.23665,38.628598],[-76.231187,38.61401],[-76.212427,38.606738],[-76.147158,38.63684],[-76.174611,38.672811],[-76.212808,38.681892],[-76.237818,38.711762],[-76.238685,38.735434],[-76.255093,38.736476],[-76.271243,38.716209],[-76.298499,38.718005],[-76.312756,38.730708],[-76.334017,38.703127],[-76.322418,38.679304],[-76.34322,38.67688],[-76.341288,38.751505],[-76.301886,38.824595],[-76.277854,38.831256],[-76.271575,38.851771],[-76.250364,38.825438],[-76.221162,38.813052],[-76.198138,38.81444],[-76.19109,38.82966],[-76.202598,38.862616],[-76.203638,38.928382],[-76.233895,38.942123],[-76.250157,38.938667],[-76.249163,38.9218],[-76.255819,38.919008],[-76.273022,38.94184],[-76.291211,38.931394],[-76.298208,38.92206],[-76.293358,38.903854],[-76.308425,38.898404],[-76.317947,38.911312],[-76.336104,38.905977],[-76.331103,38.864686],[-76.372719,38.838324],[-76.36205,38.936568],[-76.323293,38.998767],[-76.320277,39.022998],[-76.302029,39.039571],[-76.29409,39.004263],[-76.275964,38.982587],[-76.20236,38.973079],[-76.163956,39.000437],[-76.184207,39.046264],[-76.15896,39.065486],[-76.145174,39.092824],[-76.183908,39.096344],[-76.203333,39.085654],[-76.212563,39.041641],[-76.200666,39.01452],[-76.209114,39.01001],[-76.231765,39.018518],[-76.240905,39.039798],[-76.231212,39.060769],[-76.233457,39.091385],[-76.252946,39.133577],[-76.274907,39.145279],[-76.274303,39.166115],[-76.220475,39.259433],[-76.181496,39.291797],[-76.176804,39.306229],[-76.185581,39.319334],[-76.170588,39.331954],[-76.133225,39.340491],[-76.13495,39.35107],[-76.110598,39.372119],[-76.006546,39.366374],[-76.002514,39.384805],[-76.035464,39.386176],[-76.040854,39.393594],[-75.977751,39.44302],[-75.990005,39.458646],[-76.002497,39.450231],[-76.011716,39.454165],[-75.966955,39.53865],[-75.970337,39.557637],[-75.992633,39.563098],[-76.006213,39.550546],[-76.096072,39.536912],[-76.11461,39.488619],[-76.100218,39.476918],[-76.073119,39.475331],[-76.060931,39.452208],[-76.157108,39.406176],[-76.180057,39.377638],[-76.226976,39.349908],[-76.243377,39.361808],[-76.266365,39.353352],[-76.253928,39.336768],[-76.272671,39.326015],[-76.281374,39.304531],[-76.296546,39.302383],[-76.291078,39.318108],[-76.30177,39.352216],[-76.341443,39.354217],[-76.338898,39.325783],[-76.327579,39.314108],[-76.337858,39.305799],[-76.36439,39.31184],[-76.380662,39.299161],[-76.384901,39.275928],[-76.400094,39.261753],[-76.38138,39.249508],[-76.38438,39.242708],[-76.425281,39.205708],[-76.441411,39.196049],[-76.46156,39.204947],[-76.497977,39.204697],[-76.519804,39.222946],[-76.534285,39.213208],[-76.525785,39.177908],[-76.500926,39.161286],[-76.475983,39.161109],[-76.430946,39.132818],[-76.423081,39.07421],[-76.438845,39.0529],[-76.407398,39.034551],[-76.395639,39.016074],[-76.421535,38.989524],[-76.474198,38.972647],[-76.471281,38.956512],[-76.451695,38.94249],[-76.46188,38.924013],[-76.459479,38.907113],[-76.475761,38.914469],[-76.49368,38.910013],[-76.491107,38.884492],[-76.519442,38.863135],[-76.516944,38.851157],[-76.493639,38.848595],[-76.491387,38.835161],[-76.510078,38.801216],[-76.559697,38.767443],[-76.557535,38.744687],[-76.544561,38.727784],[-76.529868,38.728435],[-76.532056,38.676936],[-76.511278,38.615745],[-76.517506,38.539149],[-76.507489,38.5083],[-76.492699,38.482849],[-76.386229,38.382013],[-76.386931,38.363184],[-76.409291,38.325891],[-76.402894,38.311402],[-76.37531,38.299583],[-76.394171,38.278233],[-76.399078,38.258569],[-76.385244,38.217751],[-76.320492,38.138966],[-76.337411,38.110888],[-76.321499,38.03805],[-76.361237,38.059542],[-76.390917,38.101286],[-76.421066,38.105989],[-76.437242,38.135699],[-76.459236,38.139471],[-76.469798,38.119264],[-76.465479,38.106603],[-76.473266,38.103035],[-76.501258,38.137744],[-76.52899,38.134708],[-76.552957,38.187209],[-76.588683,38.21295],[-76.673462,38.234401],[-76.778625,38.22847],[-76.811647,38.250129],[-76.802347,38.280743],[-76.820799,38.299064],[-76.845846,38.297783],[-76.834908,38.274299],[-76.842038,38.254657],[-76.920778,38.291529],[-76.929554,38.321088],[-76.975092,38.347067],[-76.987838,38.391965],[-77.016371,38.445572],[-77.040638,38.444618],[-77.091073,38.407546],[-77.123325,38.410646],[-77.139968,38.390102],[-77.205009,38.360511],[-77.250172,38.382781],[-77.264238,38.414282],[-77.259962,38.435821],[-77.274021,38.481127],[-77.263599,38.512344],[-77.237724,38.55187],[-77.209905,38.56887],[-77.183767,38.600699],[-77.148651,38.6056],[-77.125191,38.619096],[-77.135901,38.649817],[-77.122001,38.685816],[-77.042045,38.720202]]]]},\"properties\":{\"name\":\"Maryland\",\"nation\":\"USA \"}}]}","volume":"28","issue":"7","noUsgsAuthors":false,"publicationDate":"2018-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Devers, Julie L.","contributorId":218866,"corporation":false,"usgs":false,"family":"Devers","given":"Julie","email":"","middleInitial":"L.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":770570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blakeslee, Carrie J. 0000-0002-0801-5325 cblakeslee@usgs.gov","orcid":"https://orcid.org/0000-0002-0801-5325","contributorId":5462,"corporation":false,"usgs":true,"family":"Blakeslee","given":"Carrie","email":"cblakeslee@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770572,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"St. John White, Barbara 0000-0001-8131-0534 bwhite@usgs.gov","orcid":"https://orcid.org/0000-0001-8131-0534","contributorId":141183,"corporation":false,"usgs":false,"family":"St. John White","given":"Barbara","email":"bwhite@usgs.gov","affiliations":[],"preferred":false,"id":770573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Minkkinen, Steven","contributorId":16734,"corporation":false,"usgs":true,"family":"Minkkinen","given":"Steven","email":"","affiliations":[],"preferred":false,"id":770574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":770575,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70216311,"text":"70216311 - 2018 - Evaluating anthropogenic landscape alterations as wildlife hazards, with wind farms as an example","interactions":[],"lastModifiedDate":"2020-11-11T15:10:06.098277","indexId":"70216311","displayToPublicDate":"2018-07-10T09:06:58","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating anthropogenic landscape alterations as wildlife hazards, with wind farms as an example","docAbstract":"

Anthropogenic alterations to landscape are indicators of potential compromise of that landscape’s ecology. We describe how alterations can be assessed as ‘hazards’ to wildlife through a sequence of three steps: diagnosing the means by which the hazard acts on individual organisms at risk; estimating the fitness cost of the hazard to those individuals and the rate at which that cost occurs; and translating that cost rate into a demographic cost by identifying the relevant demographically-closed population. We exploit the conservation-oriented literature on wind farms to illustrate this conceptual scheme. For wind farms, the third component has received less attention than the first two, which suggests it is the most challenging of the three components. A wind farm provides an example of a ‘spatially localized hazard’, i.e., a discrete alteration of landscape hazardous to some population but of which there are some individuals that do not interact directly with the hazard themselves but nevertheless suffer a reduction in fitness in terms of their contribution to the next generation. Spatially localized hazards are identified via the third component of the scheme and are of particular conservation concern as, by their nature, their depredations on wildlife may be underestimated without an appropriate population-level estimation of the demographic cost of the hazard.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2018.06.061","usgsCitation":"Law, P.R., and Fuller, M.R., 2018, Evaluating anthropogenic landscape alterations as wildlife hazards, with wind farms as an example: Ecological Indicators, v. 34, no. 1, p. 380-385, https://doi.org/10.1016/j.ecolind.2018.06.061.","productDescription":"6 p.","startPage":"380","endPage":"385","ipdsId":"IP-098397","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468595,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2018.06.061","text":"Publisher Index Page"},{"id":380412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Law, Peter R.","contributorId":190824,"corporation":false,"usgs":false,"family":"Law","given":"Peter","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":804629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Mark R. 0000-0001-7459-1729 mark_fuller@usgs.gov","orcid":"https://orcid.org/0000-0001-7459-1729","contributorId":2296,"corporation":false,"usgs":true,"family":"Fuller","given":"Mark","email":"mark_fuller@usgs.gov","middleInitial":"R.","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":804630,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196535,"text":"sir20185059 - 2018 - Santa Barbara and Foothill groundwater basins Geohydrology and optimal water resources management—Developed using density dependent solute transport and optimization models","interactions":[],"lastModifiedDate":"2018-08-06T16:46:22","indexId":"sir20185059","displayToPublicDate":"2018-07-10T00:00:00","publicationYear":"2018","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":"2018-5059","title":"Santa Barbara and Foothill groundwater basins Geohydrology and optimal water resources management—Developed using density dependent solute transport and optimization models","docAbstract":"

Groundwater has been a part of the city of Santa Barbara’s water-supply portfolio since the 1800s; however, since the 1960s, the majority of the city’s water has come from local surface water, and the remainder has come from groundwater, State Water Project, recycled water, increased water conservation, and as needed, seawater desalination. Although groundwater from the Santa Barbara and Foothill groundwater basins only accounts for a small percentage of the long-term supply, it is an important source of supplemental water during times of surface-water shortages. During the late 1980s and early 1990s, production wells extracted additional groundwater to compensate for drought related water-delivery shortfalls from other sources; in response, water levels declined substantially in the Santa Barbara and Foothill groundwater basins (below sea level in the Santa Barbara groundwater basin).

In coastal basins that have groundwater extraction near shore, seawater intrusion is often a problem. Seawater intrusion in the Santa Barbara groundwater basin is thought to be more limited than in other coastal basins because of an offshore fault that acts as a partial barrier to groundwater flow. During the late 1980s and early 1990s, seawater intrusion was observed in the Santa Barbara groundwater basin, as indicated by increased chloride concentrations at several monitoring wells that ranged from 200 ft to 1,300 ft from the ocean and as close as 2,900 ft to the nearest pumping well. This demonstrated that seawater can intrude into the Santa Barbara groundwater basin when groundwater levels fall below sea level near the coast.

The city of Santa Barbara is interested in developing a better understanding of the sustainability of its groundwater supplies. In 2014, California adopted historic legislation to manage its groundwater: the Sustainable Groundwater Management Act (SGMA). The SGMA requires the development and implementation of “Groundwater Sustainability Plans” in 127 priority groundwater basins; although Santa Barbara was not a designated priority basin, the city is taking steps to achieve sustainability. Sustainability was defined in the SGMA in terms of avoiding undesirable results: significant and unreasonable groundwater-level declines, reduction in groundwater storage, seawater intrusion, water-quality degradation, land subsidence, and surface-water depletion.

In this project, a cooperative study between the U.S. Geological Survey (USGS) and the city of Santa Barbara, sustainable yield is defined as the volume of groundwater that can be pumped from storage without causing water-level drawdowns and the associated increases in seawater intrusion (as indicated by increases in measured chloride concentrations) at selected wells. In order to estimate the sustainability of Santa Barbara’s groundwater basins, a three-dimensional density-dependent groundwater-flow and solute-transport model (the Santa Barbara Flow and Transport Model, or SBFTM) was developed on the basis of an existing groundwater-flow model. To simulate seawater intrusion to the Santa Barbara Basin under various management strategies, the SBFTM uses the USGS code SEAWAT to simulate salinity transport and variable-density flow. The completed SBFTM was coupled with a management optimization tool, in this case a multi-objective evolutionary algorithm, to determine optimal pumping strategies that maximize the sustainable yield and at the same time satisfy user-defined drawdown and chloride-concentration constraints.

As part of this study, a three-dimensional hydrogeologic framework model was developed to quantify the extent and hydrogeologic characteristics of the Santa Barbara and Foothill groundwater basins and to help define the discretization and hydraulic properties used in the SBFTM. The development of the hydrogeologic framework model required the collection and reconciliation of geologic and geophysical data from existing maps, reports, and databases, along with geologic and hydrologic data from recently drilled wells. These data were integrated into a three-dimensional hydrogeologic framework model that defines the stratigraphy and geometry of the aquifer zones and the major geologic structures in the basin. The hydrogeologic framework model also quantifies the variation in sediment grain size within each aquifer zone as the percentage of coarse-grained sediment. Previous studies indicated that there are two principal water-producing zones in the Santa Barbara groundwater basin, the upper and lower producing zones; an additional thin, productive zone was identified as part of this study. This “middle producing zone” is not as areally extensive as the upper and lower producing zones and only exists in the coastal part of Storage Unit I. These producing zones are bounded at depth by less productive shallow, middle, and deep zones.

Two versions of the SBFTM were constructed: an initial-condition model and a modern transient model. The initial-condition model is a long-term transient model that simulates flow and solute-transport conditions during a period with limited anthropogenic influences preceeding the modern transient model. The simulation-transient model simulates flow and transport conditions from 1929 through 2013; however, because of data availability, the focus of the model calibration was 1972–2013. The SBFTM was calibrated to measured groundwater levels and drawdown, as well as measured chloride concentrations and change in concentrations, using a combination of automated and trial-and-error parameter-estimation techniques.

A sensitivity analysis indicated that, in general, the SBFTM was most sensitive to recharge- and pumping-distribution parameters, specifically those controlling the amount of small-catchment recharge and the distribution of water extraction by hydrogeologic layer for production wells. The model was also sensitive to parameters controlling stream-recharge rates, horizontal and vertical hydraulic conductivity, and porosity.

From 1929 to 1971, most of the water entering the area represented by the SBFTM was from creek and small-catchment recharge, and the majority of water leaving the SBFTM area was from pumping, discharge to creeks, and drains. In addition, about 37 percent of the total pumpage came from a net reduction in groundwater storage. From 1972 to 2013, the amount of water entering and leaving the SBFTM was fairly similar as that from 1929 to 1971, except the reduction in pumpage added about 17,000 acre-ft of water to storage. During this later period, there were also times of storage loss. For example, during July 1990, a month when approximately 705 acre-ft of groundwater was pumped in the study area, the pumpage was much greater than all sources of recharge combined, and about 382 acre-ft of water was removed from groundwater storage.

Simulated hydraulic heads replicated the observed data to an acceptable matching of the measured water-level, flow direction, and vertical gradients. Simulated hydrographs for selected wells were in good agreement with the measured data, with an average residual of -2.7 ft and a standard deviation of 14.5 ft, indicating that the simulated heads, on average, underestimated the observed water levels. An examination of the model fit indicated that most of the discrepancies were lower simulated heads at wells proximal to production well sites.

The simulated chloride concentrations reasonably matched the rising limbs of the measured breakthrough curves in terms of timing and magnitude; however, the simulation overestimated the chloride concentrations on the falling limbs. The overestimation of low chloride concentrations was attributed to the model overestimating the advance of the chloride front during periods of heavy pumping and underestimating the retreat of the chloride front during periods of low pumping. These simulation errors would result in a conservative response by local water managers to seawater intrusion.

The SBFTM was used to develop a collection of predictive simulations optimized to produce pumping schedules that maximize yield, subject to a set of constraints and competing objectives. The simulations were grouped as scenarios that differed in their time horizon, initial conditions for groundwater levels and chloride concentrations, as well as precipitation, which was incorporated into the model through simulated recharge. Overall, five scenarios were developed in a multi-objective framework to obtain optimal pumping rates for all of the wells managed by the city, while minimizing excessive drawdown and seawater intrusion.

For the current study, complexities in the simulation model and the optimization formulation required additional considerations. Incorporating the solute-transport equations to simulate chloride transport added a highly nonlinear process that is solved iteratively in each time step of the groundwater-flow model. These nonlinearities, coupled with the highly refined grid in the current model, creates challenges for many traditional optimization methods. Therefore, an optimization method was needed that could address nonlinear relationships as well as a very large problem size. Lastly, the optimization problem was reformulated to include multiple objectives without requiring convergence to a single solution. This approach, guided by the city’s objectives, allowed the maximum extraction of information from the complex simulation.

Borg, a multi-objective evolutionary algorithm, was chosen as the optimization algorithm for this study for several reasons: (1) it is very computationally efficient; (2) it can run in parallel; (3) it requires little user input; and (4) it can solve for multiple competing objectives. The first three points allow the algorithm to proceed toward the optimal solutions at the fastest possible rate. The fourth point is advantageous for large, complex optimization problems because it is difficult to formulate the optimization problem in a way that produces only one optimal solution.

The problem formulation consisted of four competing objectives and a constraint set in accordance with the main concerns of the city. The objectives were maximizing total pumpage, minimizing seawater intrusion, minimizing total drawdown in production wells, and minimizing the maximum drawdown. The constraints were pump capacity, meeting drinking-water standards for chloride, maintaining a specified minimum flowrate to a groundwater treatment plant, and maintaining minimum water levels in pumping wells. The decision variables either were quarterly pumpage by well or total pumpage by basin.

Five optimization scenarios were developed that allow the decision makers to evaluate a range of optimal solutions for a variety of water levels and chloride concentrations as well as potential future climatic conditions. Three scenarios (1, 2, and 5) were multi-objective optimization formulations that allowed for variations in management preferences and climatic conditions. The other two scenarios (3 and 4) were designed to examine the optimization results to answer specific questions. Scenario 1 described the best-case sustainable yield assuming a “full” basin (that is, high initial water levels) and typical climate conditions for 10 years. Scenario 2 also started with a “full” basin; however, this was followed by a 10-year drought. Scenario 3 determined if an “empty” basin (that is, low initial water levels) would recover to full conditions (1998 conditions) given climate assumptions and optimal pumping schedules from scenarios 1 and 2. Scenario 4 was designed to produce decision rules that can be used by water managers to help choose an optimal pumping schedule based on measured water-level or chloride data. Scenario 5 identified future pumping schedules based on short-term climate variations during a 2-year management horizon.

The results from scenarios 1 and 2 described the differences in maximum pumpage in the basin under typical and dry long-term climate projections, respectively. The scenario 1 results indicated the maximum 10-year pumpage of the basin was about 31,300 acre-ft under typical conditions and controlling simulated seawater intrusion and drawdowns. For scenario 2, less recharge over the 10-year dry climate produced a maximum pumpage estimate of 30,000 acre-ft to control seawater intrusion and drawdowns. The larger pumpage for scenario 1 resulted in more seawater intrusion, but less total drawdown, compared to that of scenario 2.

Results for scenarios 3 and 4 showed the basin’s response to management actions combined with climate projections. Both scenarios used the optimal pumping schedules and the 10-year climates from scenarios 1 and 2. The scenario 3 results showed that under minimal pumping, the basin did not fully recover to 1998 water levels within 10 years under either climate scenario. The relatively larger recharge from the typical climate resulted in less drawdown at coastal monitoring wells after the 10-year recovery period than that from the dry climate. The location of the seawater intrusion front was not appreciably different between the scenarios, however. Scenario 4 used the optimal results from scenarios 1 and 2 to produce decision-rule curves that illustrated the pumpage for each basin, given measured levels of chloride concentration or drawdown. This allowed the use of additional measurements at monitoring wells to assess future management decisions on the basis of the sensitivity of observations of drawdown and seawater intrusion to various pumping rates.

Scenario 5 allowed managers to investigate the effects of short-term climate variations on optimal pumping schedules. Three specific 2-year simulations were optimized: typical-to-dry (scenario 5A), dry-to-typical (scenario 5B), and dry-to-dry (scenario 5C). The most noteable result from scenario 5 was the overall reduction in optimal pumpage for most schedules in scenario 5C, when the climate is simulated as dry-to-dry. There are also many optimal pumping schedules that produced an overall increase in waterlevels over the two-year simulation period, regardless of climatic condition. Similar to scenario 2, the scenario 5C results represents conservative yield estimates under a minimal-precipitation climatic condition.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185059","collaboration":"Prepared in cooperation with the city of Santa Barbara","usgsCitation":"Nishikawa, T., ed., 2018, Santa Barbara and Foothill groundwater basins Geohydrology and optimal water resources management—Developed using density dependent solute transport and optimization models, U.S. Geological Survey, Scientific Investigations Report 2018-5059, 4 chap. (A–D), variously paged, https://doi.org/10.3133/sir20185059.","productDescription":"xiv, 384 p.","numberOfPages":"402","onlineOnly":"Y","ipdsId":"IP-063921","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":355581,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5059/sir20185059_.pdf","text":"Report","size":"81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5059"},{"id":355580,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5059/coverthb_.jpg"},{"id":356222,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74J0DF5","text":"Data release","description":"USGS Data Release","linkHelpText":"SEAWAT model used to evaluate water management issues in the Santa Barbara and Foothill groundwater basins, California"}],"country":"United States","state":"California","city":"Santa Barbara","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.94299316406249,\n 34.134541681937364\n ],\n [\n -119.10278320312499,\n 34.134541681937364\n ],\n [\n -119.10278320312499,\n 35.10193405724606\n ],\n [\n -120.94299316406249,\n 35.10193405724606\n ],\n [\n -120.94299316406249,\n 34.134541681937364\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"
Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2018-07-10","noUsgsAuthors":false,"publicationDate":"2018-07-10","publicationStatus":"PW","scienceBaseUri":"5b46e540e4b060350a15d059","contributors":{"editors":[{"text":"Nishikawa, Tracy 0000-0002-7348-3838","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":204242,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733467,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Paulinski, Scott R. 0000-0001-6548-8164","orcid":"https://orcid.org/0000-0001-6548-8164","contributorId":204240,"corporation":false,"usgs":true,"family":"Paulinski","given":"Scott R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nishikawa, Tracy 0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cromwell, Geoffrey 0000-0001-8481-405X gcromwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-405X","contributorId":5920,"corporation":false,"usgs":true,"family":"Cromwell","given":"Geoffrey","email":"gcromwell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanko, Zachary P. 0000-0001-7047-6846","orcid":"https://orcid.org/0000-0001-7047-6846","contributorId":204241,"corporation":false,"usgs":true,"family":"Stanko","given":"Zachary","email":"","middleInitial":"P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733465,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}