Food web productivity in lakes can be limited by dissolved organic carbon (DOC), which reduces fish production by limiting the abundance of their zoobenthic prey. We demonstrate that in a set of 10 small, north temperate lakes spanning a wide DOC gradient, these negative effects of high DOC concentrations on zoobenthos production are driven primarily by availability of warm, well-oxygenated habitat, rather than by light limitation of benthic primary production as previously proposed. There was no significant effect of benthic primary production on zoobenthos production after controlling for oxygen, even though stable isotope analysis indicated that zoobenthos do use this resource. Mean whole-lake zoobenthos production was lower in high-DOC lakes with reduced availability of oxygenated habitat, as was fish biomass. These insights improve understanding of lake food webs and inform management in the face of spatial variability and ongoing temporal change in lake DOC concentrations.
","language":"English","publisher":"ASLO","doi":"10.1002/lno.10153","usgsCitation":"Craig, N., Jones, S., Weidel, B., and Solomon, C.T., 2015, Habitat, not resource availability, limits consumer production in lake ecosystems: Limnology and Oceanography, v. 60, no. 6, p. 2079-2089, https://doi.org/10.1002/lno.10153.","productDescription":"11 p.","startPage":"2079","endPage":"2089","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056993","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":471814,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10153","text":"Publisher Index Page"},{"id":312745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin and Michigan","otherGeospatial":"University of Notre Dame Environmental Research Centre","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.56054687499999,\n 46.24397619106172\n ],\n [\n -89.39815521240234,\n 46.21737666278269\n ],\n [\n -89.4290542602539,\n 46.158194021968384\n ],\n [\n -89.59693908691406,\n 46.18672373121336\n ],\n [\n -89.56432342529297,\n 46.24350131252777\n ],\n [\n -89.56054687499999,\n 46.24397619106172\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"60","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-03","publicationStatus":"PW","scienceBaseUri":"567a823ce4b0a04ef490fcea","contributors":{"authors":[{"text":"Craig, Nicola","contributorId":150803,"corporation":false,"usgs":false,"family":"Craig","given":"Nicola","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":583074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Stuart E.","contributorId":22222,"corporation":false,"usgs":false,"family":"Jones","given":"Stuart E.","affiliations":[{"id":6966,"text":"Department of Biological Sciences, University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":583075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Solomon, Christopher T.","contributorId":34014,"corporation":false,"usgs":false,"family":"Solomon","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":583076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156909,"text":"ds950 - 2015 - Mercury, monomethyl mercury, and dissolved organic carbon concentrations in surface water entering and exiting constructed wetlands treated with metal-based coagulants, Twitchell Island, California","interactions":[],"lastModifiedDate":"2017-04-04T11:45:55","indexId":"ds950","displayToPublicDate":"2015-09-02T14:00:00","publicationYear":"2015","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":"950","title":"Mercury, monomethyl mercury, and dissolved organic carbon concentrations in surface water entering and exiting constructed wetlands treated with metal-based coagulants, Twitchell Island, California","docAbstract":"Coagulation with metal-based salts is a practice commonly employed by drinking-water utilities to decrease particle and dissolved organic carbon concentrations in water. In addition to decreasing dissolved organic carbon concentrations, the effectiveness of iron- and aluminum-based coagulants for decreasing dissolved concentrations both of inorganic and monomethyl mercury in water was demonstrated in laboratory studies that used agricultural drainage water from the Sacramento–San Joaquin Delta of California. To test the effectiveness of this approach at the field scale, nine 15-by-40‑meter wetland cells were constructed on Twitchell Island that received untreated water from island drainage canals (control) or drainage water treated with polyaluminum chloride or ferric sulfate coagulants. Surface-water samples were collected approximately monthly during November 2012–September 2013 from the inlets and outlets of the wetland cells and then analyzed by the U.S. Geological Survey for total concentrations of mercury and monomethyl mercury in filtered (less than 0.3 micrometers) and suspended-particulate fractions and for concentrations of dissolved organic carbon.
\nIn the control wetland cells, total mercury concentrations in filtered water samples ranged from 0.94 to 2.47 nanograms per liter (ng/L) at the control inlets and from 0.84 to 2.63 ng/L at the control outlets, and particulate total mercury concentrations in water ranged from 0.27 to 1.49 ng/L at the control inlets and from 0.17 to 1.11 ng/L at the control outlets. Monomethyl mercury concentrations in filtered water ranged from 0.16 to 0.88 ng/L at the control inlets and from 0.13 to 1.30 ng/L at the control outlets; particulate monomethyl mercury concentrations in water ranged from 0.03 to 0.24 ng/L at the control inlets and from 0.03 to 0.23 ng/L at the control outlets. Dissolved organic carbon concentrations in water ranged from 7.9 to 26.7 milligrams per liter at the control inlets and from 8.5 to 28.0 milligrams per liter at the control outlets.
\nFollowing coagulation, but prior to passage through the wetland cells, coagulation treatments transferred dissolved mercury and carbon to the particulate fraction relative to untreated source water: at the wetland cell inlets, the coagulation treatments decreased concentrations of filtered total mercury by 59–76 percent, filtered monomethyl mercury by 40–70 percent, and dissolved organic carbon by 65–86 percent. Passage through the wetland cells decreased the particulate fraction of mercury in wetland cells that received coagulant-treated water. Changes in total mercury, monomethyl mercury, and dissolved organic carbon concentrations resulting from wetland passage varied both by treatment and season. Despite increased monomethyl mercury in the filtered fraction during wetland passage between March and August, the coagulation-wetland systems generally decreased total mercury (filtered plus particulate) and monomethyl mercury (filtered plus particulate) concentrations relative to source water. Coagulation—either alone or in association with constructed wetlands—could be an effective way to decrease concentrations of mercury and dissolved organic carbon in surface water as well as the bioavailability of mercury in the Sacramento–San Joaquin Delta.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds950","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency and the California Department of Water Resources","usgsCitation":"Stumpner, E.B., Kraus, T.E.C., Fleck, J.A., Hansen, A.M., Bachand, S.M., Horwath, W.R., DeWild, J.F., Krabbenhoft, D.P., and Bachand, P.A.M., 2015, Mercury, monomethyl mercury, and dissolved organic carbon concentrations in surface water entering and exiting constructed wetlands treated with metal-based coagulants, Twitchell Island, California: U.S. Geological Survey Data Series 950, 26 p., https://dx.doi.org/10.3133/ds950.","productDescription":"vi, 26 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064756","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":307801,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0950/ds950.pdf","text":"Report","size":"8.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 950"},{"id":307800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0950/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Twitchell Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.66465759277344,\n 38.18584706613636\n ],\n [\n -121.69967651367188,\n 38.12969560730616\n ],\n [\n -121.70860290527342,\n 38.1080873807306\n ],\n [\n -121.68663024902344,\n 38.085391861792274\n ],\n [\n -121.63993835449219,\n 38.08485140639173\n ],\n [\n -121.59049987792969,\n 38.08809407886681\n ],\n [\n -121.56097412109375,\n 38.0907961960593\n ],\n [\n -121.55479431152344,\n 38.108627664321276\n ],\n [\n -121.55136108398436,\n 38.12861534784239\n ],\n [\n -121.51908874511717,\n 38.16641491595218\n ],\n [\n -121.49848937988281,\n 38.19232329797254\n ],\n [\n -121.48818969726561,\n 38.213906578463856\n ],\n [\n -121.48338317871094,\n 38.23656213571519\n ],\n [\n -121.497802734375,\n 38.267836780226276\n ],\n [\n -121.56509399414061,\n 38.24680876017446\n ],\n [\n -121.57882690429688,\n 38.21552506654349\n ],\n [\n -121.59805297851561,\n 38.19232329797254\n ],\n [\n -121.63169860839845,\n 38.18692647809604\n ],\n [\n -121.66465759277344,\n 38.18584706613636\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
http://ca.water.usgs.gov
The U.S. Geological Survey developed flood elevations in cooperation with the Federal Emergency Management Agency for a 30-mile reach of the Deerfield River from the confluence of the Cold River tributary to the Connecticut River in the towns of Charlemont, Buckland, Shelburne, Conway, Deerfield, and Greenfield in Franklin County, Massachusetts to assist land owners, and emergency management workers prepare for and recover from floods. Peak flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities were computed for the reach from updated flood-frequency analyses. These peak flows were routed through a one-dimensional step-backwater hydraulic model to obtain the corresponding peak water-surface elevations and to place the tropical storm Irene flood of August 28, 2011 into historical context. The hydraulic model was calibrated by using current [2015] stage-discharge relations at two U.S. Geological Survey streamgages in the study reach—Deerfield River at Charlemont, MA (01168500) and Deerfield River near West Deerfield, MA (01170000)—and from documented high-water marks from the tropical storm Irene flood, which had between a 1- and 0.2-percent AEP.
\nThe hydraulic model was used to compute water-surface profiles for flood stages referenced to the two streamgages. Two sets of flood-inundation map libraries were created from the modeled profiles. The library for the upstream, western portion of the modeled reach is 9.1 miles long, extends from just downstream of the confluence of the Deerfield River with the Cold River to just upstream of the confluence with Clesson Brook, and is calibrated to the Deerfield River at Charlemont, MA streamgage. The library for the downstream, eastern portion of the modeled reach is 8.9 miles long, extends from just downstream of the confluence of the Deerfield River with the South River to just upstream of the confluence with the Green River, and is calibrated to the Deerfield River near West Deerfield streamgage. Stages for mapped profiles of the upstream reach range from 8.7 feet (ft) at the local datum (525.6 ft when converted to the North American Vertical Datum of 1988 [NAVD 88]) to 25.7 ft (542.6 ft at NAVD 88) at the Charlemont streamgage, and stages for mapped profiles of the downstream reach range from 8.5 ft (165.2 ft at NAVD 88) to 29.0 ft (185.7 ft at NAVD 88) at the West Deerfield streamgage. The simulated water-surface profiles were combined with a geographic information system digital elevation model derived from 0.5-ft vertical accuracy light detection and ranging (lidar) data to create the two sets of flood-inundation maps.
\nThe availability of the flood-inundation maps at http://water.usgs.gov/osw/flood_inundation/, combined with information regarding current (near real-time) stage from the two U.S. Geological Survey streamgages in the study reach, can provide emergency management personnel and residents with information to aid in flood response activities, such as evacuations and road closures, and with 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 selected peak-flow events.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155104","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Lombard, P.J., and Bent, G.C., 2015, Flood-inundation maps for the Deerfield River, Franklin County, Massachusetts, from the confluence with the Cold River tributary to the Connecticut River: U.S. Geological Survey Scientific Investigations Report 2015–5104, 22 p., appendixes, https://dx.doi.org/10.3133/sir20155104.","productDescription":"Report: vi, 22 p.; 2 Appendixes; Metadata","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-061958","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":310302,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5104/downloads/sir20155104_flood-inundation_gis_charlemont.xml","text":"Charlemont flood inundation mapping GIS metadata (xml)","size":"12.3 KB","description":"SIR 2015-5104 - 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Metadata"},{"id":307527,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5104/sir20155104.pdf","text":"Report","size":"1.66MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5104"},{"id":307526,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5104/coverthb.jpg"},{"id":307536,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5104/downloads/sir20155104_appendix2.zip","text":"Appendix 2","size":"350 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5104 Appendix 2","linkHelpText":"Area of Flood Inundation for the 1- and 0.2-Percent Annual Exceedance Probability Flows Along the Deerfield River Study Reach in Franklin County, Massachusetts"},{"id":307528,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5104/downloads/sir20155104_appendix1.xlsx","text":"Appendix 1","size":"24 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5104 Appendix 1","linkHelpText":"Water-Surface Elevations at Modeled Cross Sections Along the Deerfield River, Franklin County, Massachusetts"}],"country":"United States","state":"Massachusetts","county":"Franklin County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.35870361328125,\n 42.72280375732727\n ],\n [\n -72.3175048828125,\n 42.6895017559477\n ],\n [\n -72.24746704101562,\n 42.67839711889057\n ],\n [\n -72.22824096679688,\n 42.65214190481525\n ],\n [\n -72.22137451171874,\n 42.622844161937174\n ],\n [\n -72.26943969726562,\n 42.60465241823049\n ],\n [\n -72.28179931640625,\n 42.589488572714245\n ],\n [\n -72.2625732421875,\n 42.56521874494336\n ],\n [\n -72.24746704101562,\n 42.527784255084676\n ],\n [\n -72.27630615234375,\n 42.50551526821832\n ],\n [\n -72.30926513671875,\n 42.533856237848504\n ],\n [\n -72.32162475585938,\n 42.47310984904908\n ],\n [\n -72.333984375,\n 42.453861188491175\n ],\n [\n -72.322998046875,\n 42.42244277484678\n ],\n [\n -72.32437133789062,\n 42.3839083919257\n ],\n [\n -72.32025146484375,\n 42.34941019930749\n ],\n [\n -72.34634399414061,\n 42.3179394544685\n ],\n [\n -72.34634399414061,\n 42.33926006673673\n ],\n [\n -72.35458374023438,\n 42.39912215986002\n ],\n [\n -72.38616943359375,\n 42.45791402988027\n ],\n [\n -72.38204956054688,\n 42.42142901536395\n ],\n [\n -72.4822998046875,\n 42.39506551565123\n ],\n [\n -72.50564575195312,\n 42.420415239489934\n ],\n [\n -72.79266357421875,\n 42.382894009614056\n ],\n [\n -72.80502319335938,\n 42.445754718858524\n ],\n [\n -72.94235229492188,\n 42.49133996306382\n ],\n [\n -72.93960571289062,\n 42.55510352893436\n ],\n [\n -73.06182861328125,\n 42.58544425738491\n ],\n [\n -73.10440063476562,\n 42.742978093466434\n ],\n [\n -72.35870361328125,\n 42.72280375732727\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Or visit our Web site at
http://newengland.water.usgs.gov
The presence of mercury (Hg), particularly methylmercury (MeHg), is a concern for both human and ecological health as MeHg is a neurotoxin and can bioaccumulate to lethal levels in upper trophic level organisms. Recent research has demonstrated that coagulation with metal-based salts can effectively remove both inorganic mercury (IHg) and MeHg from solution through association with dissolved organic matter (DOM) and subsequent flocculation and precipitation. In this study, we sought to further examine interactions between Hg and DOM and the resulting organo-metallic precipitate (floc) to assess if (1) newly added IHg could be removed to the same extent as ambient IHg or whether the association between IHg and DOM requires time, and (2) once formed, if the floc has the capacity to remove additional Hg from solution. Agricultural drainage water samples containing ambient concentrations of both DOM and IHg were spiked with a traceable amount of isotopically enriched IHg and dosed with ferric sulfate after 0, 1, 5, and 30 days. Both ambient and newly added IHg were removed within hours, with 69–79 % removed. To a separate sample set, isotopically enriched IHg was added to solution after floc had formed. Under those conditions, 81–95 % of newly added Hg was removed even at Hg concentrations 1000-fold higher than ambient levels. Results of this study indicate coagulation with ferric sulfate effectively removes both ambient and newly added IHg entering a system and suggests rapid association between IHg and DOM. This work also provides new information regarding the ability of floc to remove additional Hg from solution even after it has formed.
","language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/s00267-015-0601-2","usgsCitation":"Henneberry, Y.K., Kraus, T.E., Krabbenhoft, D.P., and Horwath, W., 2015, Investigating the temporal effects of metal-based coagulants to remove mercury from solution in the presence of dissolved organic matter: Environmental Management, v. 57, no. 1, p. 220-228, https://doi.org/10.1007/s00267-015-0601-2.","productDescription":"9 p.","startPage":"220","endPage":"228","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063553","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":308426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-02","publicationStatus":"PW","scienceBaseUri":"5603cd45e4b03bc34f544b15","contributors":{"authors":[{"text":"Henneberry, Yumiko K.","contributorId":66157,"corporation":false,"usgs":true,"family":"Henneberry","given":"Yumiko","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":573005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":573004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":573006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horwath, William R.","contributorId":37234,"corporation":false,"usgs":true,"family":"Horwath","given":"William R.","affiliations":[],"preferred":false,"id":573007,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156871,"text":"70156871 - 2015 - Effects of urbanization and stormwater control measures on streamflows in the vicinity of Clarksburg, Maryland, USA","interactions":[],"lastModifiedDate":"2015-09-02T09:00:25","indexId":"70156871","displayToPublicDate":"2015-09-02T10:00:00","publicationYear":"2015","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":"Effects of urbanization and stormwater control measures on streamflows in the vicinity of Clarksburg, Maryland, USA","docAbstract":"Understanding the efficacy of revised watershed management methods is important to mitigating the impacts of urbanization on streamflow. We evaluated the influence of land use change, primarily as urbanization, and stormwater control measures on the relationship between precipitation and stream discharge over an 8-year period for five catchments near Clarksburg, Montgomery County, Maryland, USA. A unit-hydrograph model based on a temporal transfer function was employed to account for and standardize temporal variation in rainfall pattern, and properly apportion rainfall to streamflow at different time lags. From these lagged relationships, we quantified a correction to the precipitation time series to achieve a hydrograph that showed good agreement between precipitation and discharge records. Positive corrections appeared to include precipitation events that were of limited areal extent and therefore not captured by our rain gages. Negative corrections were analysed for potential causal relationships. We used mixed-model statistical techniques to isolate different sources of variance as drivers that mediate the rainfall–runoff dynamic before and after management. Seasonal periodicity mediated rainfall–runoff relationships, and land uses (i.e. agriculture, natural lands, wetlands and stormwater control measures) were statistically significant predictors of precipitation apportionment to stream discharge. Our approach is one way to evaluate actual effectiveness of management efforts in the face of complicating circumstances and could be paired with cost data to understand economic efficiency or life cycle aspects of watershed management. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
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The long-tailed duck adenovirus genome was approximately 27 kb. A 907 bp hexon gene segment was used to design primers specific for the long-tailed duck adenovirus. Nineteen isolates were phylogenetically characterized based on portions of their hexon gene and 12 were most closely related to Goose adenovirus A. The remaining 7 shared no hexon sequences with any known adenoviruses. Experimental infections of mallards with a long-tailed duck reference adenovirus caused mild lymphoid infiltration of the intestine and paint brush hemorrhages of the mucosa and dilation of the intestine. This study shows novel adenoviruses from long-tailed ducks are diverse and provides further evidence that they should be considered in cases of morbidity and mortality in sea ducks. Conserved and specific primers have been developed that will help screen sea ducks for adenoviral infections.
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To support management and restoration efforts aquatic system models are requiredthat are able to capture the often complex trajectories that these systems display in response to multiplestressors. This paper explores the abilities and limitations of current model approaches in meeting this chal-lenge, and outlines a strategy based on integration of flexible model libraries and data from observationnetworks, within a learning framework, as a means to improve the accuracy and scope of model predictions.The framework is comprised of a data assimilation component that utilizes diverse data streams from sensornetworks, and a second component whereby model structural evolution can occur once the model isassessed against theoretically relevant metrics of system function. Given the scale and transdisciplinarynature of the prediction challenge, network science initiatives are identified as a means to develop and inte-grate diverse model libraries and workflows, and to obtain consensus on diagnostic approaches to modelassessment that can guide model adaptation. We outline how such a framework can help us explore thetheory of how aquatic systems respond to change by bridging bottom-up and top-down lines of enquiry,and, in doing so, also advance the role of prediction in aquatic ecosystem management.
","language":"English","publisher":"Wiley","doi":"10.1002/2015WR017175","usgsCitation":"Hipsey, M., Hamilton, D., Hanson, P.C., Carey, C.C., Coletti, J.Z., Read, J.S., Ibelings, B.W., Valensini, F.J., and Brookes, J.D., 2015, Predicting the resilience and recovery of aquatic systems: a framework for model evolution within environmental observatories: Water Resources Research, v. 51, no. 9, p. 7023-7043, https://doi.org/10.1002/2015WR017175.","productDescription":"21 p.","startPage":"7023","endPage":"7043","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063945","costCenters":[],"links":[{"id":471816,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr017175","text":"Publisher Index Page"},{"id":311939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-02","publicationStatus":"PW","scienceBaseUri":"5662c758e4b06a3ea36c67c7","contributors":{"authors":[{"text":"Hipsey, Matthew R.","contributorId":80968,"corporation":false,"usgs":true,"family":"Hipsey","given":"Matthew R.","affiliations":[],"preferred":false,"id":581334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamilton, David P.","contributorId":18633,"corporation":false,"usgs":true,"family":"Hamilton","given":"David P.","affiliations":[],"preferred":false,"id":581335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":581336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carey, Cayelan C.","contributorId":130969,"corporation":false,"usgs":false,"family":"Carey","given":"Cayelan","email":"","middleInitial":"C.","affiliations":[{"id":7185,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":581337,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coletti, Janaine Z","contributorId":150282,"corporation":false,"usgs":false,"family":"Coletti","given":"Janaine","email":"","middleInitial":"Z","affiliations":[{"id":17958,"text":"Aquatic Ecodynamics, School of Earth and Environment, The University of Western Australia, Perth, Australia","active":true,"usgs":false}],"preferred":false,"id":581338,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":581339,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ibelings, Bas W","contributorId":130973,"corporation":false,"usgs":false,"family":"Ibelings","given":"Bas","email":"","middleInitial":"W","affiliations":[{"id":7189,"text":"Institut F.A. Forel, Versoix, Switzerland","active":true,"usgs":false}],"preferred":false,"id":581340,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valensini, Fiona J","contributorId":150283,"corporation":false,"usgs":false,"family":"Valensini","given":"Fiona","email":"","middleInitial":"J","affiliations":[{"id":17959,"text":"Centre for Fish and Fisheries Research, Murdoch University, Perth, Australia","active":true,"usgs":false}],"preferred":false,"id":581341,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brookes, Justin D","contributorId":130984,"corporation":false,"usgs":false,"family":"Brookes","given":"Justin","email":"","middleInitial":"D","affiliations":[{"id":7196,"text":"Water Research Centre, The Environment Institute, School of Earth and Environmental Science, University of Adelaide, South Australia, Australia","active":true,"usgs":false}],"preferred":false,"id":581342,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70157313,"text":"70157313 - 2015 - Trimming the FAT for seafloor research in China—Constructing a tripod to monitor deep-sea sediment movement","interactions":[],"lastModifiedDate":"2015-09-21T14:05:49","indexId":"70157313","displayToPublicDate":"2015-09-01T17:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3363,"text":"Sea Technology","active":true,"publicationSubtype":{"id":10}},"title":"Trimming the FAT for seafloor research in China—Constructing a tripod to monitor deep-sea sediment movement","docAbstract":"Summarizes technical aspects of the Free Ascending Tripod for very deep water, designed by George Tate for joint US-China research lead by Jingping Xu in South China Sea.
","language":"English","publisher":"Compass Publications, Inc.","collaboration":"University of Tongji, Shanghai, China","usgsCitation":"West, A., 2015, Trimming the FAT for seafloor research in China—Constructing a tripod to monitor deep-sea sediment movement: Sea Technology, v. 56, no. 6, p. 38-40.","productDescription":"3 p.","startPage":"38","endPage":"40","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061412","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":308318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308317,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sea-technology.com/features/index.html","text":"Index Page","linkFileType":{"id":5,"text":"html"},"description":"Index Page"}],"otherGeospatial":"South China Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 117.99316406249999,\n 23.765236889758672\n ],\n [\n 121.11328124999999,\n 19.47695020648843\n ],\n [\n 117.94921874999999,\n 10.358151400943683\n ],\n [\n 112.236328125,\n 3.337953961416485\n ],\n [\n 109.072265625,\n 2.1088986592431382\n ],\n [\n 105.29296874999999,\n 7.841615185204699\n ],\n [\n 109.64355468749999,\n 11.824341483849048\n ],\n [\n 109.072265625,\n 16.04581345375218\n ],\n [\n 106.0400390625,\n 18.89589255941504\n ],\n [\n 107.22656249999999,\n 20.92039691397189\n ],\n [\n 108.45703125,\n 20.550508894195637\n ],\n [\n 108.67675781249999,\n 18.687878686034196\n ],\n [\n 110.830078125,\n 18.771115062337024\n ],\n [\n 110.9619140625,\n 20.673905264672843\n ],\n [\n 117.99316406249999,\n 23.765236889758672\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56012ab7e4b03bc34f54443d","contributors":{"authors":[{"text":"West, Amy awest@usgs.gov","contributorId":147791,"corporation":false,"usgs":true,"family":"West","given":"Amy","email":"awest@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":572667,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156006,"text":"fs20153054 - 2015 - Assessment of undiscovered oil and gas resources in the Cherokee Platform Province area of Kansas, Oklahoma, and Missouri, 2015","interactions":[],"lastModifiedDate":"2018-02-15T15:00:31","indexId":"fs20153054","displayToPublicDate":"2015-09-01T15:15:00","publicationYear":"2015","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":"2015-3054","title":"Assessment of undiscovered oil and gas resources in the Cherokee Platform Province area of Kansas, Oklahoma, and Missouri, 2015","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean volumes of undiscovered, technically recoverable resources of 463 million barrels of oil, 11.2 trillion cubic feet of gas, and 35 million barrels of natural gas liquids in the Cherokee Platform Province area of Kansas, Oklahoma, and Missouri.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153054","collaboration":"Prepared in cooperation with National and Global Petroleum Assessment Project","usgsCitation":"Drake, R.M., II, Hatch, J.R., Schenk, C.J., Charpentier, R.R., Klett, T.R., Phuong, A.L., Leathers, H.M., Brownfield, M.E., Gaswirth, S.B., Marra, K.R., Pitman, J.K., Potter, C.J., Tennyson, M.E., 2015, Assessment of undiscovered oil and gas resources in the Cherokee Platform Province area of Kansas, Oklahoma, and Missouri, 2015: U.S. Geological Survey Fact Sheet 2015-3054, 2 p., https://dx.doi.org/10.3133/fs20153054.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065431","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":438686,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PC30FK","text":"USGS data release","linkHelpText":"USGS National Assessment of Oil and Gas Project - Cherokee Platform Province Assessment Units"},{"id":307665,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3054/fs20153054.pdf","text":"Report","size":"860 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3054"},{"id":307664,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3054/coverthb.jpg"}],"country":"United States","state":"Kansas, Oklahoma, Missouri","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.36035156249999,\n 33.99802726234877\n ],\n [\n -99.36035156249999,\n 39.01064750994083\n ],\n [\n -92.21923828124999,\n 39.01064750994083\n ],\n [\n -92.21923828124999,\n 33.99802726234877\n ],\n [\n -99.36035156249999,\n 33.99802726234877\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
http://energy.usgs.gov/
Oil development in the Bakken shale region has increased rapidly as a result of new technologies and strong demand for fossil fuel. This region also supports a particularly high density and diversity of grassland bird species, which are declining across North America. We examined grassland bird response to unconventional oil extraction sites (i.e. developed with hydraulic fracturing and horizontal drilling techniques) and associated roads in North Dakota. Our goal was to quantify the amount of habitat that was indirectly degraded by oil development, as evidenced by patterns of avoidance by birds. Grassland birds avoided areas within 150 m of roads (95% CI: 87–214 m), 267 m of single-bore well pads (95% CI: 157–378 m), and 150 m of multi-bore well pads (95% CI: 67–233 m). Individual species demonstrated variable tolerance of well pads. Clay-colored sparrows (Spizella pallida) were tolerant of oil-related infrastructure, whereas Sprague's pipit (Anthus spragueii) avoided areas within 350 m (95% CI: 215–485 m) of single-bore well pads. Given these density patterns around oil wells, the potential footprint of any individual oil well, and oil development across the region, is greatly multiplied for sensitive species. Efforts to reduce new road construction, concentrate wells along developed corridors, combine numerous wells on multi-bore pads rather than build many single-bore wells, and to place well pads near existing roads will serve to minimize loss of suitable habitat for birds. Quantifying environmental degradation caused by oil development is a critical step in understanding how to better mitigate harm to wildlife populations.
","language":"English","publisher":"Elsevier","publisherLocation":"Kidlington, Oxford","doi":"10.1016/j.biocon.2015.08.040","usgsCitation":"Thompson, S.J., Johnson, D.H., Nieumuth, N., and Ribic, C., 2015, Avoidance of unconventional oil wells and roads exacerbates habitat loss for grassland birds in the North American great plains: Biological Conservation, v. 192, p. 82-90, https://doi.org/10.1016/j.biocon.2015.08.040.","productDescription":"9 p.","startPage":"82","endPage":"90","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061836","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":309375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560d07ace4b058f706e542f8","contributors":{"authors":[{"text":"Thompson, Sarah J. 0000-0002-5733-8198 sjthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-5733-8198","contributorId":5434,"corporation":false,"usgs":true,"family":"Thompson","given":"Sarah","email":"sjthompson@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":573445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":573446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nieumuth, Neal","contributorId":147951,"corporation":false,"usgs":false,"family":"Nieumuth","given":"Neal","email":"","affiliations":[{"id":16966,"text":"USFWS, HAPET Bismarck, ND","active":true,"usgs":false}],"preferred":false,"id":573447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":573448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157226,"text":"70157226 - 2015 - Effects of flooding on ion exchange rates in an Upper Mississippi River floodplain forest impacted by herbivory, invasion, and restoration","interactions":[],"lastModifiedDate":"2015-09-16T11:38:54","indexId":"70157226","displayToPublicDate":"2015-09-01T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Effects of flooding on ion exchange rates in an Upper Mississippi River floodplain forest impacted by herbivory, invasion, and restoration","docAbstract":"We examined effects of flooding on supply rates of 14 nutrients in floodplain areas invaded by Phalaris arundinacea (reed canarygrass), areas restored to young successional forests (browsed by white-tailed deer and unbrowsed), and remnant mature forests in the Upper Mississippi River floodplain. Plant Root Simulator ion-exchange probes were deployed for four separate 28-day periods. The first deployment occurred during flooded conditions, while the three subsequent deployments were conducted during progressively drier periods. Time after flooding corresponded with increases in NO3 −-N, K+ and Zn+2, decreases in H2PO4 −-P, Fe+3, Mn+2, and B(OH)4-B, a decrease followed by an increase in NH4 +-N, Ca+2, Mg+2 and Al+3, and an increase followed by a decrease for SO4 −2-S. Plant community type had weak to no effects on nutrient supply rates compared to the stronger effects of flooding duration. Our results suggest that seasonal dynamics in floodplain nutrient availability are similarly driven by flood pulses in different community types. However, reed canarygrass invasion has potential to increase availability of some nutrients, while restoration of forest cover may promote recovery of nutrient availability to that observed in reference mature forests.
","language":"English","publisher":"Society of Wetland Scientists","publisherLocation":"McClean, VA","doi":"10.1007/s13157-015-0675-x","collaboration":"University of Wisconsin-La Crosse","usgsCitation":"Kreiling, R., De Jager, N.R., Swanson, W., Eric A. Strauss, and Meredith Thomsen, 2015, Effects of flooding on ion exchange rates in an Upper Mississippi River floodplain forest impacted by herbivory, invasion, and restoration: Wetlands, v. 35, no. 5, p. 1005-1012, https://doi.org/10.1007/s13157-015-0675-x.","productDescription":"8 p.","startPage":"1005","endPage":"1012","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063008","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":308202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-04","publicationStatus":"PW","scienceBaseUri":"55fa92b7e4b05d6c4e501a7e","contributors":{"authors":[{"text":"Kreiling, Rebecca 0000-0002-9295-4156 rkreiling@usgs.gov","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":147679,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","email":"rkreiling@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":572311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":572312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Whitney","contributorId":147680,"corporation":false,"usgs":false,"family":"Swanson","given":"Whitney","email":"","affiliations":[{"id":16896,"text":"Biology Department and River Studies Center, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":572313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eric A. Strauss","contributorId":147681,"corporation":false,"usgs":false,"family":"Eric A. Strauss","affiliations":[{"id":16896,"text":"Biology Department and River Studies Center, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":572314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meredith Thomsen","contributorId":147682,"corporation":false,"usgs":false,"family":"Meredith Thomsen","affiliations":[{"id":16896,"text":"Biology Department and River Studies Center, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":572315,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157231,"text":"70157231 - 2015 - Climate change and physical disturbance cause similar community shifts in biological soil crusts","interactions":[],"lastModifiedDate":"2015-10-05T16:04:25","indexId":"70157231","displayToPublicDate":"2015-09-01T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and physical disturbance cause similar community shifts in biological soil crusts","docAbstract":"Biological soil crusts (biocrusts)—communities of mosses, lichens, cyanobacteria, and heterotrophs living at the soil surface—are fundamental components of drylands worldwide, and destruction of biocrusts dramatically alters biogeochemical processes, hydrology, surface energy balance, and vegetation cover. While there has been long-standing concern over impacts of 5 physical disturbances on biocrusts (e.g., trampling by livestock, damage from vehicles), there is also increasing concern over the potential for climate change to alter biocrust community structure. Using long-term data from the Colorado Plateau, USA, we examined the effects of 10 years of experimental warming and altered precipitation (in full-factorial design) on biocrust communities, and compared the effects of altered climate with those of long-term physical 10 disturbance (>10 years of replicated human trampling). Surprisingly, altered climate and physical disturbance treatments had similar effects on biocrust community structure. Warming, altered precipitation frequency [an increase of small (1.2 mm) summer rainfall events], and physical disturbance from trampling all promoted early successional community states marked by dramatic declines in moss cover and increased cyanobacteria cover, with more variable effects 15 on lichens. While the pace of community change varied significantly among treatments, our results suggest that multiple aspects of climate change will affect biocrusts to the same degree as physical disturbance. This is particularly disconcerting in the context of warming, as temperatures for drylands are projected to increase beyond those imposed by the climate treatments used in our study.
","language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1509150112","usgsCitation":"Ferrenberg, S., Reed, S.C., and Belnap, J., 2015, Climate change and physical disturbance cause similar community shifts in biological soil crusts: PNAS, v. 112, no. 39, p. 12116-12121, https://doi.org/10.1073/pnas.1509150112.","productDescription":"6 p.","startPage":"12116","endPage":"12121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066539","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":471818,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1509150112","text":"External Repository"},{"id":308199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"39","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-14","publicationStatus":"PW","scienceBaseUri":"55fa92b1e4b05d6c4e501a60","contributors":{"authors":[{"text":"Ferrenberg, Scott 0000-0002-3542-0334 sferrenberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3542-0334","contributorId":147684,"corporation":false,"usgs":true,"family":"Ferrenberg","given":"Scott","email":"sferrenberg@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572331,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157377,"text":"70157377 - 2015 - Landscape-scale distribution and density of raptor populations wintering in anthropogenic-dominated desert landscapes","interactions":[],"lastModifiedDate":"2017-11-24T18:08:55","indexId":"70157377","displayToPublicDate":"2015-09-01T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale distribution and density of raptor populations wintering in anthropogenic-dominated desert landscapes","docAbstract":"Anthropogenic development has great potential to affect fragile desert environments. Large-scale development of renewable energy infrastructure is planned for many desert ecosystems. Development plans should account for anthropogenic effects to distributions and abundance of rare or sensitive wildlife; however, baseline data on abundance and distribution of such wildlife are often lacking. We surveyed for predatory birds in the Sonoran and Mojave Deserts of southern California, USA, in an area designated for protection under the “Desert Renewable Energy Conservation Plan”, to determine how these birds are distributed across the landscape and how this distribution is affected by existing development. We developed species-specific models of resight probability to adjust estimates of abundance and density of each individual common species. Second, we developed combined-species models of resight probability for common and rare species so that we could make use of sparse data on the latter. We determined that many common species, such as red-tailed hawks, loggerhead shrikes, and especially common ravens, are associated with human development and likely subsidized by human activity. Species-specific and combined-species models of resight probability performed similarly, although the former model type provided higher quality information. Comparing abundance estimates with past surveys in the Mojave Desert suggests numbers of predatory birds associated with human development have increased while other sensitive species not associated with development have decreased. This approach gave us information beyond what we would have collected by focusing either on common or rare species, thus it provides a low-cost framework for others conducting surveys in similar desert environments outside of California.
","language":"English","publisher":"Springer","doi":"10.1007/s10531-015-0916-6","usgsCitation":"Duerr, A.E., Miller, T., Cornell Duerr, K.L., Lanzone, M.J., Fesnock-Parker, A., and Katzner, T., 2015, Landscape-scale distribution and density of raptor populations wintering in anthropogenic-dominated desert landscapes: Biodiversity and Conservation, v. 24, no. 10, p. 2365-2381, https://doi.org/10.1007/s10531-015-0916-6.","productDescription":"17 p.","startPage":"2365","endPage":"2381","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061915","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":308435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert, Sonoran Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.63037109375,\n 37.97884504049713\n ],\n [\n -114.6533203125,\n 35.04798673426734\n ],\n [\n -114.60937499999999,\n 34.867904962568744\n ],\n [\n -114.45556640625,\n 34.687427949314845\n ],\n [\n -114.345703125,\n 34.452218472826566\n ],\n [\n -114.19189453125,\n 34.361576287484176\n ],\n [\n -114.3017578125,\n 34.125447565116126\n ],\n [\n -114.43359375,\n 33.99802726234877\n ],\n [\n -114.43359375,\n 33.8521697014074\n ],\n [\n -114.58740234375,\n 33.63291573870476\n ],\n [\n -114.71923828124999,\n 33.43144133557529\n ],\n [\n -114.71923828124999,\n 33.22949814144951\n ],\n [\n -114.6533203125,\n 33.119150226768866\n ],\n [\n -114.5654296875,\n 33.04550781490999\n ],\n [\n -114.54345703125,\n 32.879587173066305\n ],\n [\n -114.697265625,\n 32.713355353177555\n ],\n [\n -116.49902343749999,\n 32.62087018318113\n ],\n [\n -116.60888671874999,\n 32.97180377635759\n ],\n [\n -116.806640625,\n 33.61461929233378\n ],\n [\n -117.1142578125,\n 33.925129700072\n ],\n [\n -117.6416015625,\n 34.052659421375964\n ],\n [\n -118.23486328125,\n 34.23451236236987\n ],\n [\n -118.564453125,\n 34.56085936708387\n ],\n [\n -118.740234375,\n 34.75966612466248\n ],\n [\n -118.71826171875,\n 35.28150065789119\n ],\n [\n -118.91601562499999,\n 36.50963615733049\n ],\n [\n -118.7841796875,\n 37.78808138412046\n ],\n [\n -118.63037109375,\n 37.97884504049713\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-01","publicationStatus":"PW","scienceBaseUri":"5603cd46e4b03bc34f544b17","contributors":{"authors":[{"text":"Duerr, Adam E.","contributorId":102324,"corporation":false,"usgs":true,"family":"Duerr","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":572915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Tricia A.","contributorId":64790,"corporation":false,"usgs":true,"family":"Miller","given":"Tricia A.","affiliations":[],"preferred":false,"id":572916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cornell Duerr, Kerri L","contributorId":147850,"corporation":false,"usgs":false,"family":"Cornell Duerr","given":"Kerri","email":"","middleInitial":"L","affiliations":[{"id":16946,"text":"Westminster College","active":true,"usgs":false}],"preferred":false,"id":572917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanzone, Michael J.","contributorId":147851,"corporation":false,"usgs":false,"family":"Lanzone","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13392,"text":"Cellular Tracking Technologies","active":true,"usgs":false}],"preferred":false,"id":572918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fesnock-Parker, Amy","contributorId":140129,"corporation":false,"usgs":false,"family":"Fesnock-Parker","given":"Amy","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":572919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":572914,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70156700,"text":"70156700 - 2015 - Successful mitigation of viral disease based on a delayed exposure rearing strategy at a large-scale steelhead trout conservation hatchery","interactions":[],"lastModifiedDate":"2020-06-23T20:23:11.38055","indexId":"70156700","displayToPublicDate":"2015-09-01T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":853,"text":"Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Successful mitigation of viral disease based on a delayed exposure rearing strategy at a large-scale steelhead trout conservation hatchery","docAbstract":"In 2009, the largest steelhead trout conservation hatchery in the state of Idaho, Dworshak National Fish Hatchery (NFH), lost over 50% of the juvenile steelhead trout (Oncorhynchus mykiss) population being reared for release. The causative agent of this high mortality was the viral pathogen infectious hematopoietic necrosis virus (IHNV). This was neither the first nor the worst epidemic of IHNV to occur at the hatchery, but it was the worst in over a decade. Genetic analysis of IHNV isolates taken from juveniles suffering epidemic IHN disease in 2009 revealed that the virus was of the M group of IHNV viruses, known to have high virulence for trout. The water supply for steelhead trout rearing at Dworshak NFH is untreated water taken directly from the Clearwater River. Further genetic analysis of IHNV isolates from adults spawned in 2009 indicated that adult steelhead trout in the river (in the hatchery water supply) were the most probable transmission source for the epidemic IHN disease in the juvenile fish. Previously, Dworshak NFH had been able to gain access to reservoir water from behind the Dworshak Dam for nursery egg incubation and the earliest stage of fry rearing, which nearly eliminated incidence of IHN disease in that stage of rearing. Additionally, the nearby Clearwater State Fish Hatchery (SFH), which operates entirely with reservoir water, has never had a case of IHN disease in juvenile steelhead trout. Therefore, staff at Dworshak NFH sought and obtained access to a limited supply of reservoir water for the first few months of outdoor rearing of juvenile steelhead trout, beginning in 2010. This strategy delayed the exposure of juvenile steelhead trout to river water for several months. The effects of this program change were: drastic reduction in IHN disease in juvenile steelhead trout; interruption in the transmission of highly virulent M group IHNV from adult steelhead trout; no interruption in the transmission of low virulent U group IHNV from adult Chinook salmon; and a shift of IHNV types in adult fish spawned at Dworshak NFH in subsequent years from M to U group viruses. While juvenile steelhead trout may still be infected via exposure to IHNV in river water, the disruption of virulent M group IHNV has been successful in dramatically reducing IHN disease in steelhead trout every year since 2010.
","language":"English","publisher":"Elsevier Pub. Co.","publisherLocation":"Amsterdam","doi":"10.1016/j.aquaculture.2015.07.014","usgsCitation":"Breyta, R., Samson, C., Blair, M., Black, A., and Kurath, G., 2015, Successful mitigation of viral disease based on a delayed exposure rearing strategy at a large-scale steelhead trout conservation hatchery: Aquaculture, v. 450, p. 213-224, https://doi.org/10.1016/j.aquaculture.2015.07.014.","productDescription":"12 p.","startPage":"213","endPage":"224","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066419","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":471819,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquaculture.2015.07.014","text":"Publisher Index Page"},{"id":307831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Clearwater River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.00439453125,\n 45.93587062119052\n ],\n [\n -114.884033203125,\n 45.93587062119052\n ],\n [\n -114.884033203125,\n 47.67278567576541\n ],\n [\n -117.00439453125,\n 47.67278567576541\n ],\n [\n -117.00439453125,\n 45.93587062119052\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"450","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560ba84be4b058f706e53ac0","chorus":{"doi":"10.1016/j.aquaculture.2015.07.014","url":"http://dx.doi.org/10.1016/j.aquaculture.2015.07.014","publisher":"Elsevier BV","authors":"Breyta Rachel, Samson Corie, Blair Marilyn, Black Allison, Kurath Gael","journalName":"Aquaculture","publicationDate":"1/2016"},"contributors":{"authors":[{"text":"Breyta, R.","contributorId":92949,"corporation":false,"usgs":true,"family":"Breyta","given":"R.","email":"","affiliations":[],"preferred":false,"id":570135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samson, Corie","contributorId":147060,"corporation":false,"usgs":false,"family":"Samson","given":"Corie","email":"","affiliations":[{"id":16781,"text":"U.S. Fish and Wildlife Service, Idaho Fish Health Center, Orofino, ID","active":true,"usgs":false}],"preferred":false,"id":570136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blair, Marilyn","contributorId":44388,"corporation":false,"usgs":true,"family":"Blair","given":"Marilyn","affiliations":[],"preferred":false,"id":570137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, Allison","contributorId":147061,"corporation":false,"usgs":false,"family":"Black","given":"Allison","email":"","affiliations":[{"id":16782,"text":"Institute for Public Health Genetics, UW, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":570138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":570139,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157110,"text":"70157110 - 2015 - Trends in pesticide concentrations and use for major rivers of the United States","interactions":[],"lastModifiedDate":"2017-10-12T20:02:17","indexId":"70157110","displayToPublicDate":"2015-09-01T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Trends in pesticide concentrations and use for major rivers of the United States","docAbstract":"Trends in pesticide concentrations in 38 major rivers of the United States were evaluated in relation to use trends for 11 commonly occurring pesticide compounds. Pesticides monitored in water were analyzed for trends in concentration in three overlapping periods, 1992–2001, 1997–2006, and 2001–2010 to facilitate comparisons among sites with variable sample distributions over time and among pesticides with changes in use during different periods and durations. Concentration trends were analyzed using the SEAWAVE-Q model, which incorporates intra-annual variability in concentration and measures of long-term, mid-term, and short-term streamflow variability. Trends in agricultural use within each of the river basins were determined using interval-censored regression with high and low estimates of use.
\nPesticides strongly dominated by agricultural use (cyanazine, alachlor, atrazine and its degradate deethylatrazine, metolachlor, and carbofuran) had widespread agreement between concentration trends and use trends. Pesticides with substantial use in both agricultural and nonagricultural applications (simazine, chlorpyrifos, malathion, diazinon, and carbaryl) had concentration trends that were mostly explained by a combination of agricultural-use trends, regulatory changes, and urban use changes inferred from concentration trends in urban streams. When there were differences, concentration trends usually were greater than use trends (increased more or decreased less). These differences may occur because of such factors as unaccounted pesticide uses, delayed transport to the river through groundwater, greater uncertainty in the use data, or unquantified land use and management practice changes.
","language":"English","publisher":"Elsevier Pub. Co.","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2015.06.095","usgsCitation":"Ryberg, K.R., and Gilliom, R.J., 2015, Trends in pesticide concentrations and use for major rivers of the United States: Science of the Total Environment, v. 538, p. 431-444, https://doi.org/10.1016/j.scitotenv.2015.06.095.","productDescription":"14 p.","startPage":"431","endPage":"444","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059356","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":307996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"538","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f15834e4b0dacf699eb987","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":571688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":571689,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156879,"text":"70156879 - 2015 - Stock-specific advection of larval walleye (Sander vitreus) in western Lake Erie: Implications for larval growth, mixing, and stock discrimination","interactions":[],"lastModifiedDate":"2017-08-15T12:43:17","indexId":"70156879","displayToPublicDate":"2015-09-01T11:15:00","publicationYear":"2015","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":"Stock-specific advection of larval walleye (Sander vitreus) in western Lake Erie: Implications for larval growth, mixing, and stock discrimination","docAbstract":"Physical processes can generate spatiotemporal heterogeneity in habitat quality for fish and also influence the overlap of pre-recruit individuals (e.g., larvae) with high-quality habitat through hydrodynamic advection. In turn, individuals from different stocks that are produced in different spawning locations or at different times may experience dissimilar habitat conditions, which can underlie within- and among-stock variability in larval growth and survival. While such physically-mediated variation has been shown to be important in driving intra- and inter-annual patterns in recruitment in marine ecosystems, its role in governing larval advection, growth, survival, and recruitment has received less attention in large lake ecosystems such as the Laurentian Great Lakes. Herein, we used a hydrodynamic model linked to a larval walleye (Sander vitreus) individual-based model to explore how the timing and location of larval walleye emergence from several spawning sites in western Lake Erie (Maumee, Sandusky, and Detroit rivers; Ohio reef complex) can influence advection pathways and mixing among these local spawning populations (stocks), and how spatiotemporal variation in thermal habitat can influence stock-specific larval growth. While basin-wide advection patterns were fairly similar during 2011 and 2012, smaller scale advection patterns and the degree of stock mixing varied both within and between years. Additionally, differences in larval growth were evident among stocks and among cohorts within stocks which were attributed to spatiotemporal differences in water temperature. Using these findings, we discuss the value of linked physical–biological models for understanding the recruitment process and addressing fisheries management problems in the world's Great Lakes.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2015.04.008","usgsCitation":"Fraker, M.E., Anderson, E., May, C.J., Chen, K., Davis, J.J., DeVanna, K.M., DuFour, M., Marschall, E.A., Mayer, C.M., Miner, J.G., Pangle, K.L., Pritt, J., Roseman, E., Tyson, J.T., Zhao, Y., and Ludsin, S.A., 2015, Stock-specific advection of larval walleye (Sander vitreus) in western Lake Erie: Implications for larval growth, mixing, and stock discrimination: Journal of Great Lakes Research, v. 41, no. 3, p. 830-845, https://doi.org/10.1016/j.jglr.2015.04.008.","productDescription":"16 p.","startPage":"830","endPage":"845","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066933","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":307818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560ba84ae4b058f706e53abc","contributors":{"authors":[{"text":"Fraker, Michael E. 0000-0002-1813-706X","orcid":"https://orcid.org/0000-0002-1813-706X","contributorId":150962,"corporation":false,"usgs":false,"family":"Fraker","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":570938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Eric J.","contributorId":89434,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric J.","affiliations":[],"preferred":false,"id":570939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Cassandra J.","contributorId":150961,"corporation":false,"usgs":false,"family":"May","given":"Cassandra","email":"","middleInitial":"J.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":570940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Kuan-Yu","contributorId":140818,"corporation":false,"usgs":false,"family":"Chen","given":"Kuan-Yu","email":"","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":570941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Jeremiah J.","contributorId":150963,"corporation":false,"usgs":false,"family":"Davis","given":"Jeremiah","email":"","middleInitial":"J.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":570942,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeVanna, Kristen M.","contributorId":64991,"corporation":false,"usgs":true,"family":"DeVanna","given":"Kristen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":570943,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DuFour, Mark R.","contributorId":36451,"corporation":false,"usgs":true,"family":"DuFour","given":"Mark R.","affiliations":[],"preferred":false,"id":570944,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marschall, Elizabeth A.","contributorId":41388,"corporation":false,"usgs":true,"family":"Marschall","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570945,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mayer, Christine M.","contributorId":50814,"corporation":false,"usgs":true,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":570946,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miner, Jeffery G.","contributorId":150965,"corporation":false,"usgs":false,"family":"Miner","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":570947,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pangle, Kevin L.","contributorId":40947,"corporation":false,"usgs":true,"family":"Pangle","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":570948,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pritt, Jeremy J. jpritt@usgs.gov","contributorId":139770,"corporation":false,"usgs":true,"family":"Pritt","given":"Jeremy J.","email":"jpritt@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":570949,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":147266,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":570937,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tyson, Jeffrey T.","contributorId":104433,"corporation":false,"usgs":true,"family":"Tyson","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":570950,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zhao, Yingming","contributorId":49752,"corporation":false,"usgs":true,"family":"Zhao","given":"Yingming","affiliations":[],"preferred":false,"id":570951,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ludsin, Stuart A","contributorId":120607,"corporation":false,"usgs":true,"family":"Ludsin","given":"Stuart","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":570952,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70158591,"text":"70158591 - 2015 - Estimating the short-term recovery potential of little brown bats in the eastern United States in the face of White-nose syndrome","interactions":[],"lastModifiedDate":"2018-01-04T15:39:04","indexId":"70158591","displayToPublicDate":"2015-09-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the short-term recovery potential of little brown bats in the eastern United States in the face of White-nose syndrome","docAbstract":"White-nose syndrome (WNS) was first detected in North American bats in New York in 2006. Since that time WNS has spread throughout the northeastern United States, southeastern Canada, and southwest across Pennsylvania and as far west as Missouri. Suspect WNS cases have been identified in Minnesota and Iowa, and the causative agent of WNS (Pseudogymnoascus destructans) has recently been detected in Mississippi. The impact of WNS is devastating for little brown bats (Myotis lucifugus), causing up to 100% mortality in some overwintering populations, and previous research has forecast the extirpation of the species due to the disease. Recent evidence indicates that remnant populations may persist in areas where WNS is endemic. We developed a spatially explicit model of little brown bat population dynamics to investigate the potential for populations to recover under alternative scenarios. We used these models to investigate how starting population sizes, potential changes in the number of bats overwintering successfully in hibernacula, and potential changes in demographic rates of the population post WNS may influence the ability of the bats to recover to former levels of abundance. We found that populations of the little brown bat and other species that are highly susceptible to WNS are unlikely to return to pre-WNS levels in the near future under any of the scenarios we examined.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolmodel.2015.07.016","usgsCitation":"Russell, R., Thogmartin, W.E., Erickson, R.A., Szymanski, J.A., and Tinsley, K., 2015, Estimating the short-term recovery potential of little brown bats in the eastern United States in the face of White-nose syndrome: Ecological Modelling, v. 314, p. 111-117, https://doi.org/10.1016/j.ecolmodel.2015.07.016.","productDescription":"7 p.","startPage":"111","endPage":"117","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":309365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"314","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560d07b5e4b058f706e54306","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":10269,"corporation":false,"usgs":true,"family":"Russell","given":"Robin E.","affiliations":[],"preferred":false,"id":576214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":576215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":576216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Szymanski, Jennifer A.","contributorId":51593,"corporation":false,"usgs":true,"family":"Szymanski","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":576217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tinsley, Karl","contributorId":23457,"corporation":false,"usgs":false,"family":"Tinsley","given":"Karl","email":"","affiliations":[{"id":6969,"text":"U.S. Fish and Wildlife Service, Division of Endangered Species","active":true,"usgs":false}],"preferred":false,"id":576218,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156240,"text":"ofr20151156 - 2015 - Water withdrawals in Florida, 2012","interactions":[],"lastModifiedDate":"2015-09-01T09:01:14","indexId":"ofr20151156","displayToPublicDate":"2015-09-01T09:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1156","title":"Water withdrawals in Florida, 2012","docAbstract":"In 2012, the total amount of water withdrawn in Florida was estimated to be 14,237 million gallons per day (Mgal/d). Saline water accounted for 7,855 Mgal/d (55 percent), and freshwater accounted for 6,383 Mgal/d (45 percent). Groundwater accounted for 4,167 Mgal/d (65 percent) of freshwater withdrawals, and surface water accounted for the remaining 2,216 Mgal/d (35 percent). Surface water accounted for nearly all (99.9 percent) saline-water withdrawals. Freshwater withdrawals were greatest in Palm Beach County (682 Mgal/d), and saline-water withdrawals were greatest in Pasco County (1,822 Mgal/d). Fresh groundwater provided drinking water (through either public supply or private domestic wells) for 17.699 million residents (93 percent of Florida’s population), and fresh surface water provided drinking water for 1.375 million residents (7 percent). The statewide public-supply gross per capita water use for 2012 was estimated at 136 gallons per day.
\nOverall, agricultural self-supplied accounted for 39 percent of the total freshwater withdrawals (groundwater and surface water), followed by public supply (36 percent). Public supply accounted for 49 percent of groundwater withdrawals, followed by agricultural self-supplied (34 percent), commercial-industrial-mining self-supplied (7 percent), recreational-landscape irrigation and domestic self-supplied (5 percent each), and power generation (less than 1 percent). Agricultural self-supplied accounted for 50 percent of fresh surface-water withdrawals, followed by power generation (26 percent), public supply (11 percent), recreational-landscape irrigation (9 percent), and commercial-industrial-mining self-supplied (4 percent). Power generation accounted for nearly all (99.8 percent) saline-water withdrawals.
\nThe largest percentage of freshwater withdrawals was from the South Florida Water Management District (46 percent), followed by the St. Johns River Water Management District (20 percent), Southwest Florida Water Management District (19 percent), Northwest Florida Water Management District (9 percent), and Suwannee River Water Management District (6 percent). The South Florida Water Management District accounted for the largest percentage of freshwater withdrawals for public-supply use (46 percent), commercial-industrial-mining self-supplied use (24 percent), agricultural self-supplied use (59 percent), and recreational-landscape irrigation use (63 percent). The Northwest Florida Water Management District accounted for the largest percentage of freshwater withdrawals for power-generation use (44 percent), and the Southwest Florida Water Management District accounted for the largest percentage of saline-water withdrawals for power-generation use (58 percent).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151156","collaboration":"Prepared in cooperation with the Florida Department of Environmental Protection","usgsCitation":"Marella, R.L., 2015, Water withdrawals in Florida, 2012: U.S. Geological Survey Open-File Report 2015–1156, 10 p., https://dx.doi.org/10.3133/ofr20151156.","productDescription":"10 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-064707","costCenters":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"links":[{"id":307712,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1156/coverthb.jpg"},{"id":307713,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1156/ofr20151156_marella-water-use-2012.pdf","text":"Report","size":"588 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1156"}],"country":"United 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\"}}]}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
12703 Research Parkway
Orlando, FL 32826
http://fl.water.usgs.gov
The Frazier Mountain paleoseismic site is located within the northern Big Bend of the southern San Andreas Fault (lat 34.8122° N., lon 118.9034° W.), in a small structural basin formed by the fault (fig. 1). The site has been the focus of over a decade of paleoseismic study due to high stratigraphic resolution and abundant dateable material. Trench 1 (T1) was initially excavated as a 50-m long, fault-perpendicular trench crossing the northern half of the basin (Lindvall and others, 2002; Scharer and others, 2014a). Owing to the importance of a high-resolution trench site at this location on a 200-km length of the fault with no other long paleoseismic records, later work progressively lengthened and deepened T1 in a series of excavations, or cuts, that enlarged the original excavation. Scharer and others (2014a) provide the photomosaics and event evidence for the first four cuts, which largely show the upper section of the site, represented by alluvial deposits that date from about A.D. 1500 to present. Scharer and others (2014b) discuss the earthquake evidence and dating at the site within the context of prehistoric rupture lengths and magnitudes on the southern San Andreas Fault. Here we present the photomosaics and event evidence for a series of cuts from the lower section, covering sediments that were deposited from about A.D. 500 to 1500 (fig. 2).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151147","usgsCitation":"Scharer, K.M., Fumal, T.E., Weldon, R.J., II, Streig, A.R., 2015, Photomosaics and event evidence from the Frazier Mountain paleoseismic site, trench 1, cuts 5–24, San Andreas Fault Zone, southern California (2010–2012): U.S. Geological Survey Open-File Report 2015–1147, 25 p., 3 sheets, https://dx.doi.org/10.3133/ofr20151147.","productDescription":"Pamphlet: iii, 28 p.; 6 Sheets: 36.0 x 38.9 inches or smaller","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-065601","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":307515,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet2lg.pdf","text":"Sheet 2 print optimized","size":"76.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 2 print version"},{"id":307517,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet1.pdf","text":"Sheet 1 screen optimized","size":"7.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 1 screen version"},{"id":307513,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet1lg.pdf","text":"Sheet 1 print optimized","size":"62 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 1 print version"},{"id":307516,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet3lg.pdf","text":"Sheet 3 print optimized","size":"71.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 3 print version"},{"id":307519,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet3.pdf","text":"Sheet 3 screen optimized","size":"10.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 3 screen version"},{"id":307518,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_sheet2.pdf","text":"Sheet 2 screen optimized","size":"5.6 Mb","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Sheet 2 screen version"},{"id":307215,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1147/coverthb.gif"},{"id":307216,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1147/ofr20151147_pamphlet.pdf","text":"Pamphlet","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1147 Pamphlet to accompany map sheets"}],"country":"United States","state":"California","otherGeospatial":"Frazier Mountain, San Andreas Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,34.0 ], [ -120.0,36.0 ], [ -118.0,36.0 ], [ -118.0,34.0 ], [ -120.0,34.0 ] ] ] } } ] }","contact":"Earthquake Science Center—Menlo Park, Calif. Office
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025 http://earthquake.usgs.gov/
We analyzed counts from the annual Midwinter Bald Eagle Survey to examine state, regional, and national trends in counts of wintering Bald Eagles (Haliaeetus leucocephalus) within the conterminous 48 United States from 1986 to 2010. Using hierarchical mixed model methods, we report trends in counts from 11 729 surveys along 844 routes in 44 states. Nationwide Bald Eagle counts increased 0.6% per yr over the 25-yr period, compared to an estimate of 1.9% per yr from 1986 to 2000. Trend estimates for Bald Eagles were significant (P ≤ 0.05) and positive in the northeastern and northwestern U.S. (3.9% and 1.1%, respectively), while trend estimates for Bald Eagles were negative (P ≤ 0.05) in the southwestern U.S. (−2.2%). After accounting for potential biases resulting from temporal and regional differences in surveys, we believe trends reflect post-DDT recovery and subsequent early effects of density-dependent population regulation.
I report on the unusual behavior of an adult House Wren (Troglodytes aedon) leading recently fledged young back to the nest for two consecutive nights. The ambient temperature reached below 0°C during both nights. Despite disadvantages associated with remaining in the nest, this observation suggests that adult birds may assess trade-offs between perceived risks versus the benefits of engaging in other activities, in this case roosting communally for thermoregulation.
","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/14-083.1","usgsCitation":"Scholer, M.N., 2015, Unusual behavior in the parental care of a house wren (Troglodytes aedon): Post fledging use of an old nest during cold nights: Wilson Journal of Ornithology, v. 127, no. 3, p. 545-547, https://doi.org/10.1676/14-083.1.","productDescription":"3 p.","startPage":"545","endPage":"547","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057723","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":314780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","county":"Harney County","otherGeospatial":"Steens Mountain Cooperative Management and Protection Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.5,\n 42.6\n ],\n [\n -118.5,\n 42.7\n ],\n [\n -118.6,\n 42.7\n ],\n [\n -118.6,\n 42.6\n ],\n [\n -118.5,\n 42.6\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a7556fe4b0b28f1184d8a7","contributors":{"authors":[{"text":"Scholer, Micah N.","contributorId":152524,"corporation":false,"usgs":false,"family":"Scholer","given":"Micah","email":"","middleInitial":"N.","affiliations":[{"id":18937,"text":"Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver","active":true,"usgs":false}],"preferred":false,"id":589628,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70168977,"text":"70168977 - 2015 - Sediment yields from small, steep coastal watersheds of California","interactions":[],"lastModifiedDate":"2016-03-10T09:35:29","indexId":"70168977","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Sediment yields from small, steep coastal watersheds of California","docAbstract":"Global inventories of sediment discharge to the ocean highlight the importance of small, steep watersheds (i.e., those having drainage areas less than 100,000 km2 and over 1000 m of relief) that collectively provide a dominant flux of sediment. The smallest of these coastal watersheds (e.g., those that have drainage areas less than 1000 km2) can represent a large portion of the drainage areas of active margin coasts, such as California’s coast, but remain almost universally unmonitored. Here we report on the suspended-sediment discharge of several small coastal watersheds (10-56 km2) of the Santa Ynez Mountains, California, that were found to have ephemeral discharge and suspended-sediment concentrations ranging between 1 and over 200,000 mgL-1. Sediment concentrations were weakly correlated with discharge (r2 = 0.10–0.25), and all types of hysteresis patterns were observed during high flows (clockwise, counterclockwise, no hysteresis, and complex). Sediment discharge varied strongly with time and was measurably elevated in one watershed following a wildfire. Although sediment yields varied by over 100-fold across the watersheds (e.g., 15 – 2100 tkm-2 yr -1during the relatively wet 2005 water year), the majority of sediment discharge (65-80%) occurred during only 1% of the time for all watersheds. Furthermore, sampling of dozens of high flow events provides evidence that sediment yields were generally related to peak discharge yields, although these relationships were not consistent across the watersheds. These results suggest that small watersheds of active margins can provide large fluxes of sediment to the coast, but that the rates and timing of this sediment discharge is more irregular in time – and thus more difficult to characterize – than the better monitored and studied watersheds that are 1000-100,000 km2.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.08.004","usgsCitation":"Warrick, J., Melack, J.M., and Goodridge, B.M., 2015, Sediment yields from small, steep coastal watersheds of California: Journal of Hydrology: Regional Studies, v. 4, no. Part B, p. 516-534, https://doi.org/10.1016/j.ejrh.2015.08.004.","productDescription":"19 p.","startPage":"516","endPage":"534","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052345","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.08.004","text":"Publisher Index Page"},{"id":318770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.69305419921874,\n 33.831638461142866\n ],\n [\n -120.69305419921874,\n 34.69194468425019\n ],\n [\n -118.50952148437499,\n 34.69194468425019\n ],\n [\n -118.50952148437499,\n 33.831638461142866\n ],\n [\n -120.69305419921874,\n 33.831638461142866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"Part B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56e2a8cce4b0f59b85d391b0","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":146720,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":622424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melack, John M.","contributorId":167466,"corporation":false,"usgs":false,"family":"Melack","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodridge, Blair M.","contributorId":167467,"corporation":false,"usgs":false,"family":"Goodridge","given":"Blair","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168969,"text":"70168969 - 2015 - Linking magma transport structures at Kīlauea volcano","interactions":[],"lastModifiedDate":"2016-03-10T09:40:01","indexId":"70168969","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","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}},"title":"Linking magma transport structures at Kīlauea volcano","docAbstract":"Identifying magma pathways is important for understanding and interpreting volcanic signals. At Kīlauea volcano, seismicity illuminates subsurface plumbing, but the broad spectrum of seismic phenomena hampers event identification. Discrete, long-period events (LPs) dominate the shallow (5-10 km) plumbing, and deep (40+ km) tremor has been observed offshore. However, our inability to routinely identify these events limits their utility in tracking ascending magma. Using envelope cross-correlation, we systematically catalog non-earthquake seismicity between 2008-2014. We find the LPs and deep tremor are spatially distinct, separated by the 15-25 km deep, horizontal mantle fault zone (MFZ). Our search corroborates previous observations, but we find broader-band (0.5-20 Hz) tremor comprising collocated earthquakes and reinterpret the deep tremor as earthquake swarms in a volume surrounding and responding to magma intruding from the mantle plume beneath the MFZ. We propose the overlying MFZ promotes lateral magma transport, linking this deep intrusion with Kīlauea’s shallow magma plumbing.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL064869","usgsCitation":"Wech, A.G., and Thelen, W.A., 2015, Linking magma transport structures at Kīlauea volcano: Geophysical Research Letters, v. 42, no. 17, p. 7090-7097, https://doi.org/10.1002/2015GL064869.","productDescription":"8 p.","startPage":"7090","endPage":"7097","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064405","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471822,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064869","text":"Publisher Index Page"},{"id":318771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.3308868408203,\n 19.37010185290975\n ],\n [\n -155.3308868408203,\n 19.456233596018\n ],\n [\n -155.19973754882812,\n 19.456233596018\n ],\n [\n -155.19973754882812,\n 19.37010185290975\n ],\n [\n -155.3308868408203,\n 19.37010185290975\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-15","publicationStatus":"PW","scienceBaseUri":"56e2a8c8e4b0f59b85d3919c","contributors":{"authors":[{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":622419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thelen, Weston A. 0000-0003-2534-5577 wthelen@usgs.gov","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":4126,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","email":"wthelen@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":622420,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70169237,"text":"70169237 - 2015 - Rising methane emissions from northern wetlands associated with sea ice decline","interactions":[],"lastModifiedDate":"2016-03-24T11:47:51","indexId":"70169237","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","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}},"title":"Rising methane emissions from northern wetlands associated with sea ice decline","docAbstract":"The Arctic is rapidly transitioning toward a seasonal sea ice-free state, perhaps one of the most apparent examples of climate change in the world. This dramatic change has numerous consequences, including a large increase in air temperatures, which in turn may affect terrestrial methane emissions. Nonetheless, terrestrial and marine environments are seldom jointly analyzed. By comparing satellite observations of Arctic sea ice concentrations to methane emissions simulated by three process-based biogeochemical models, this study shows that rising wetland methane emissions are associated with sea ice retreat. Our analyses indicate that simulated high-latitude emissions for 2005–2010 were, on average, 1.7 Tg CH4 yr−1 higher compared to 1981–1990 due to a sea ice-induced, autumn-focused, warming. Since these results suggest a continued rise in methane emissions with future sea ice decline, observation programs need to include measurements during the autumn to further investigate the impact of this spatial connection on terrestrial methane emissions.
","language":"English","publisher":"Wiley","doi":"10.1002/2015GL065013","usgsCitation":"Parmentier, F.W., Zhang, W., Zhu, X., van Huissteden, J., Hayes, D.J., Zhuang, Q., Christensen, T.R., and McGuire, A.D., 2015, Rising methane emissions from northern wetlands associated with sea ice decline: Geophysical Research Letters, v. 42, no. 17, p. 7214-7222, https://doi.org/10.1002/2015GL065013.","productDescription":"9 p.","startPage":"7214","endPage":"7222","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063606","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471824,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl065013","text":"Publisher Index Page"},{"id":319362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"17","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-10","publicationStatus":"PW","scienceBaseUri":"56f50fd1e4b0f59b85e1eba4","contributors":{"authors":[{"text":"Parmentier, Frans-Jan W.","contributorId":60537,"corporation":false,"usgs":true,"family":"Parmentier","given":"Frans-Jan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":623638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Wenxin","contributorId":167815,"corporation":false,"usgs":false,"family":"Zhang","given":"Wenxin","email":"","affiliations":[],"preferred":false,"id":623639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Xudong","contributorId":19684,"corporation":false,"usgs":true,"family":"Zhu","given":"Xudong","email":"","affiliations":[],"preferred":false,"id":623640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Huissteden, Jacobus","contributorId":167816,"corporation":false,"usgs":false,"family":"van Huissteden","given":"Jacobus","email":"","affiliations":[],"preferred":false,"id":623641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":623642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhuang, Qianlai","contributorId":101975,"corporation":false,"usgs":true,"family":"Zhuang","given":"Qianlai","affiliations":[],"preferred":false,"id":623643,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christensen, Torben R.","contributorId":11946,"corporation":false,"usgs":true,"family":"Christensen","given":"Torben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":623644,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":623375,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70162618,"text":"70162618 - 2015 - Defining conservation targets on a landscape-scale","interactions":[],"lastModifiedDate":"2016-04-14T14:48:31","indexId":"70162618","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Defining conservation targets on a landscape-scale","docAbstract":"Conservation planning, the process of deciding how to protect, conserve, enhance and(or) minimize loss of natural and cultural resources, is a fundamental process to achieve conservation success in a time of rapid environmental change. Conservation targets, the measurable expressions of desired resource conditions, are an important tool in biological planning to achieve effective outcomes. Conservation targets provide a focus for planning, design, conservation action, and collaborative monitoring of environmental trends to guide landscape-scale conservation to improve the quality and quantity of key ecological and cultural resources. It is essential to have an iterative and inclusive method to define conservation targets that is replicable and allows for the evaluation of the effectiveness of conservation targets over time. In this document, we describe a process that can be implemented to achieve landscape-scale conservation, which includes defining conservation targets. We also describe what has been accomplished to date (September 2015) through this process for the Peninsular Florida Landscape Conservation Cooperative (PFLCC).
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