{"pageNumber":"347","pageRowStart":"8650","pageSize":"25","recordCount":68857,"records":[{"id":70198746,"text":"70198746 - 2018 - Quantifying climate-related interactions in shallow and deep storage and evapotranspiration in a forested, seasonally water-limited watershed in the Southeastern United States","interactions":[],"lastModifiedDate":"2018-08-20T09:26:00","indexId":"70198746","displayToPublicDate":"2018-04-06T09:24:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying climate-related interactions in shallow and deep storage and evapotranspiration in a forested, seasonally water-limited watershed in the Southeastern United States","docAbstract":"The Southeastern United States experiences recurring hydrological droughts, which can reduce water availability and can result in water-limiting conditions. Long-term monitoring at Panola Mountain Research Watershed, a small, forested, seasonally water-limited watershed near Atlanta, Georgia, was used to quantify the interactions of climatic variability with shallow and deep storage and evapotranspiration. Watershed storage (WS) and actual evapotranspiration (AET) were estimated monthly from 1985 through 2015 using a water-budget approach combined with a WS-baseflow relationship. Shallow storage (SS) was assessed from a soil moisture profile. Soil moisture transitioned from recharge to surplus as SS increased from its field capacity to a nearly saturated state during the dormant season, and transitioned from utilization to climatic water deficits as SS declined from its field capacity to its wilting point during the growing season. Deeper storage was unavailable to AET during dry conditions. The majority of deeper storage recharge occurred during the dormant season and required SS to be wet. WS was an effective drought indicator. Growing season droughts typically occurred when WS was below normal at the end of the dormant season and growing season precipitation (P) was below or near normal. A hydrologic persistence analysis found that monthly-standardized WS was significantly correlated (p-value <0.05) with past monthly-standardized WS for the previous 19 months and with past monthly P for the previous 11 months, indicating the importance of past hydrologic conditions on WS. Expected climatic changes affected recharge during the dormant season and deficits during the growing season.","language":"English","publisher":"AGU","doi":"10.1002/2017WR020964","usgsCitation":"Aulenbach, B.T., and Norman E. Peters, 2018, Quantifying climate-related interactions in shallow and deep storage and evapotranspiration in a forested, seasonally water-limited watershed in the Southeastern United States: Water Resources Research, v. 54, no. 4, p. 3037-3061, https://doi.org/10.1002/2017WR020964.","productDescription":"25 p.","startPage":"3037","endPage":"3061","ipdsId":"IP-086326","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":356610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-20","publicationStatus":"PW","scienceBaseUri":"5b98a2d9e4b0702d0e842ffd","contributors":{"authors":[{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":742837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman E. Peters 0000-0002-0637-9424","orcid":"https://orcid.org/0000-0002-0637-9424","contributorId":207130,"corporation":false,"usgs":false,"family":"Norman E. Peters","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":742838,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196219,"text":"ofr20181051 - 2018 - Movements and habitat use locations of manatees within Kings Bay Florida during the Crystal River National Wildlife Refuge winter season (November 15–March 31)","interactions":[],"lastModifiedDate":"2018-09-25T07:58:19","indexId":"ofr20181051","displayToPublicDate":"2018-04-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1051","title":"Movements and habitat use locations of manatees within Kings Bay Florida during the Crystal River National Wildlife Refuge winter season (November 15–March 31)","docAbstract":"<p>Kings Bay, Florida, is one of the most important natural winter habitat locations for the federally threatened <i>Trichechus manatus latirostris</i> (Florida manatee). Crystal River National Wildlife Refuge was established in 1983 specifically to provide protection for manatees and their critical habitat. To aid managers at the refuge and other agencies with this task, spatial analyses of local habitat use locations and travel corridors of manatees in Kings Bay during manatee season (November 15–March 31) are presented based on Global Positioning System telemetry of 41 manatees over a 12-year timespan (2006−18). Local habitat use areas and travel corridors differed spatially when Gulf of Mexico water temperatures were cold (less than or equal to 17 degrees Celsius) versus when they were warm (greater than 17 degrees Celsius). During times of cold water, manatees were found in higher concentrations in the main springs and canals throughout the eastern side of the bay, whereas when waters were warm, they were found more generally throughout the bay and into Crystal River, except for the central open part of the bay and the southwest corner.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181051","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the Bureau of Ocean Energy Management","usgsCitation":"Slone, D.H., Butler, S.M., and Reid, J.P., 2018, Movements and habitat use locations of manatees within Kings Bay Florida during the Crystal River National Wildlife Refuge winter season (November 15–March 31): U.S. Geological Survey Open-File Report 2018–1051, 11 p., https://doi.org/10.3133/ofr20181051.","productDescription":"iv, 11 p.","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-096292","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":353049,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20171146","text":"Open-File Report 2017-1146","linkHelpText":"Timing of warm water refuge use in Crystal River National Wildlife Refuge by manatees—Results and insights from Global Positioning System telemetry data"},{"id":353037,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1051/coverthb2.jpg"},{"id":353038,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1051/ofr20181051.pdf","text":"Report","size":"3.92 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1051"}],"country":"United States","state":"Florida","otherGeospatial":"Kings Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.62,\n              28.9\n            ],\n            [\n              -82.58,\n              28.9\n            ],\n            [\n              -82.58,\n              28.875\n            ],\n            [\n              -82.62,\n              28.875\n            ],\n            [\n              -82.62,\n              28.9\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\" data-mce-href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\">Wetland and Aquatic Research Center</a><br>U.S. Geological Survey<br>7920 NW 71 Street&nbsp; <br>Gainesville, FL 32653<br></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Methods and Data Collection<br></li><li>Results and Discussion<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2018-04-06","noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5afee6e6e4b0da30c1bfbf14","contributors":{"authors":[{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":173308,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":731731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butler, Susan M. 0000-0003-3676-9332 sbutler@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-9332","contributorId":195796,"corporation":false,"usgs":true,"family":"Butler","given":"Susan","email":"sbutler@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":731732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, James P. 0000-0002-8497-1132 jreid@usgs.gov","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":3460,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"jreid@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":731733,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196309,"text":"ofr20181056 - 2018 - Model structure of the stream salmonid simulator (S3)—A dynamic model for simulating growth, movement, and survival of juvenile salmonids","interactions":[],"lastModifiedDate":"2018-04-06T16:18:17","indexId":"ofr20181056","displayToPublicDate":"2018-04-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1056","title":"Model structure of the stream salmonid simulator (S3)—A dynamic model for simulating growth, movement, and survival of juvenile salmonids","docAbstract":"<p class=\"p1\">Fisheries and water managers often use population models to aid in understanding the effect of alternative water management or restoration actions on anadromous fish populations. We developed the Stream Salmonid Simulator (S3) to help resource managers evaluate the effect of management alternatives on juvenile salmonid populations. S3 is a deterministic stage-structured population model that tracks daily growth, movement, and survival of juvenile salmon. A key theme of the model is that river flow affects habitat availability and capacity, which in turn drives density dependent population dynamics. To explicitly link population dynamics to habitat quality and quantity, the river environment is constructed as a one-dimensional series of linked habitat units, each of which has an associated daily time series of discharge, water temperature, and usable habitat area or carrying capacity. The physical characteristics of each habitat unit and the number of fish occupying each unit, in turn, drive survival and growth within each habitat unit and movement of fish among habitat units.</p><p class=\"p1\">The purpose of this report is to outline the underlying general structure of the S3 model that is common among different applications of the model. We have developed applications of the S3 model for juvenile fall Chinook salmon (<i>Oncorhynchus tshawytscha</i>) in the lower Klamath River. Thus, this report is a companion to current application of the S3 model to the Trinity River (in review). The general S3 model structure provides a biological and physical framework for the salmonid freshwater life cycle. This framework captures important demographics of juvenile salmonids aimed at translating management alternatives into simulated population responses. Although the S3 model is built on this common framework, the model has been constructed to allow much flexibility in application of the model to specific river systems. The ability for practitioners to include system-specific information for the physical stream structure, survival, growth, and movement processes ensures that simulations provide results that are relevant to the questions asked about the population under study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181056","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Perry, R.W., Plumb, J.M., Jones, E.C., Som, N.A., Hetrick, N.J., and Hardy, T.B., 2018, Model structure of the stream salmonid simulator (S3)—A dynamic model for simulating growth, movement, and survival of juvenile salmonids: U.S. Geological Survey Open-File Report 2018-1056, 32 p., https://doi.org/10.3133/ofr20181056.","productDescription":"iv, 32 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-092781","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":353225,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1056/coverthb.jpg"},{"id":353226,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1056/ofr20181056.pdf","text":"Report","size":"971 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1056"}],"contact":"<p>Director, <a href=\"https://wfrc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://wfrc.usgs.gov/\">Western Fisheries Research Center</a><br> U.S. Geological Survey<br> 6505 NE 65th Street<br> Seattle, Washington 98115</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Discussion<br></li><li>Acknowledgments<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-04-06","noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5afee6e6e4b0da30c1bfbf12","contributors":{"authors":[{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Edward C. 0000-0001-7255-1475 ejones@usgs.gov","orcid":"https://orcid.org/0000-0001-7255-1475","contributorId":203917,"corporation":false,"usgs":true,"family":"Jones","given":"Edward","email":"ejones@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":732273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hetrick, Nicholas J.","contributorId":168367,"corporation":false,"usgs":false,"family":"Hetrick","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":732274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hardy, Thomas B.","contributorId":203774,"corporation":false,"usgs":false,"family":"Hardy","given":"Thomas","email":"","middleInitial":"B.","affiliations":[{"id":36714,"text":"Meadows Professor of Environmental Flows, Department of Biology, Texas State University, San Marcos, Texas","active":true,"usgs":false}],"preferred":false,"id":732275,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195759,"text":"ds1079 - 2018 - Documentation of particle-size analyzer time series, and discrete suspended-sediment and bed-sediment sample data collection, Niobrara River near Spencer, Nebraska, October 2014","interactions":[],"lastModifiedDate":"2018-09-25T09:22:32","indexId":"ds1079","displayToPublicDate":"2018-04-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1079","title":"Documentation of particle-size analyzer time series, and discrete suspended-sediment and bed-sediment sample data collection, Niobrara River near Spencer, Nebraska, October 2014","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, monitored a sediment release by Nebraska Public Power District from Spencer Dam located on the Niobrara River near Spencer, Nebraska, during the fall of 2014. The accumulated sediment behind Spencer Dam ordinarily is released semiannually; however, the spring 2014 release was postponed until the fall. Because of the postponement, the scheduled fall sediment release would consist of a larger volume of sediment. The larger than normal sediment release expected in fall 2014 provided an opportunity for the USGS and U.S. Army Corps of Engineers to improve the understanding of sediment transport during reservoir sediment releases. A primary objective was to collect continuous suspended-sediment data during the first days of the sediment release to document rapid changes in sediment concentrations. For this purpose, the USGS installed a laser-diffraction particle-size analyzer at a site near the outflow of the dam to collect continuous suspended-sediment data. The laser-diffraction particle-size analyzer measured volumetric particle concentration and particle-size distribution from October 1 to 2 (pre-sediment release) and October 5 to 9 (during sediment release). Additionally, the USGS manually collected discrete suspended-sediment and bed-sediment samples before, during, and after the sediment release. Samples were collected at two sites upstream from Spencer Dam and at three bridges downstream from Spencer Dam. The resulting datasets and basic metadata associated with the datasets were published as a data release; this report provides additional documentation about the data collection methods and the quality of the data.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1079","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Schaepe, N.J., Coleman, A.M., and Zelt, R.B., 2018, Documentation of particle-size analyzer time series, and discrete suspended-sediment and bed-sediment sample data collection, Niobrara River near Spencer, Nebraska, October 2014: U.S. Geological Survey Data Series 1079, 11 p., https://doi.org/10.3133/ds1079.","productDescription":"Report: iv, 11 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073204","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":353172,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1079/ds1079.pdf","text":"Report","size":"1.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1079"},{"id":353171,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1079/coverthb3.jpg"},{"id":353173,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74M93RK","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Niobrara River suspended-sediment and bed-sediment data collected during hydroelectric dam flush near Spencer, Nebr., October through November, 2014"}],"country":"United States","state":"Nebraska","city":"Spencer","otherGeospatial":"Niobrara River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.8333,\n              42.6667\n            ],\n            [\n              -98,\n              42.6667\n            ],\n            [\n              -98,\n              42.9167\n            ],\n            [\n              -98.8333,\n              42.9167\n            ],\n            [\n              -98.8333,\n              42.6667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: dc_ne@usgs.gov\" data-mce-href=\"mailto: dc_ne@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ne-water\" data-mce-href=\"https://www.usgs.gov/centers/ne-water\">Nebraska Water Science Center </a><br>U.S. Geological Survey<br>5231 South 19th Street <br>Lincoln, NE 68512</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methodology<br></li><li>Data Release<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-04-06","noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5afee6e7e4b0da30c1bfbf18","contributors":{"authors":[{"text":"Schaepe, Nathaniel J. 0000-0003-1776-7411 nschaepe@usgs.gov","orcid":"https://orcid.org/0000-0003-1776-7411","contributorId":2377,"corporation":false,"usgs":true,"family":"Schaepe","given":"Nathaniel","email":"nschaepe@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman, Anthony M.","contributorId":202835,"corporation":false,"usgs":true,"family":"Coleman","given":"Anthony","email":"","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zelt, Ronald B. 0000-0001-9024-855X rbzelt@usgs.gov","orcid":"https://orcid.org/0000-0001-9024-855X","contributorId":300,"corporation":false,"usgs":true,"family":"Zelt","given":"Ronald","email":"rbzelt@usgs.gov","middleInitial":"B.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729874,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198906,"text":"70198906 - 2018 - Influenza A virus recovery, diversity, and intercontinental exchange: A multi-year assessment of wild bird sampling at Izembek National Wildlife Refuge, Alaska","interactions":[],"lastModifiedDate":"2018-08-29T17:43:49","indexId":"70198906","displayToPublicDate":"2018-04-05T13:58:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Influenza A virus recovery, diversity, and intercontinental exchange: A multi-year assessment of wild bird sampling at Izembek National Wildlife Refuge, Alaska","docAbstract":"<p><span>Western Alaska is a potential point-of-entry for foreign-origin influenza A viruses (IAVs) into North America via migratory birds. We sampled waterfowl and gulls for IAVs at Izembek National Wildlife Refuge (NWR) in western Alaska, USA, during late summer and autumn months of 2011–2015, to evaluate the abundance and diversity of viruses at this site. We collected 4842 samples across five years from 25 species of wild birds resulting in the recovery, isolation, and sequencing of 172 IAVs. With the intent of optimizing sampling efficiencies, we used information derived from this multi-year effort to: 1) evaluate from which species we consistently recover viruses, 2) describe viral subtypes of isolates by host species and year, 3) characterize viral gene segment sequence diversity with respect to host species, and assess potential differences in the viral lineages among the host groups, and 4) examine how evidence of intercontinental exchange of IAVs relates to host species. We consistently recovered viruses from dabbling ducks (</span><i>Anas spp</i><span>.), emperor geese (</span><i>Chen canagica</i><span>) and glaucous-winged gulls (</span><i>Larus glaucescens</i><span>). There was little evidence for differences in viral subtypes and diversity from different waterfowl hosts, however subtypes and viral diversity varied between waterfowl host groups and glaucous-winged gulls. Furthermore, higher proportions of viral sequences from northern pintails (</span><i>Anas acuta</i><span>), emperor geese and glaucous-winged gulls were grouped in phylogenetic clades that included IAV sequences originating from wild birds sampled in Asia as compared to non-pintail dabbling ducks, a difference that may be related to intercontinental migratory tendencies of host species. Our summary of research and surveillance efforts at Izembek NWR will assist in future prioritization of which hosts to sample and swab types to collect in Alaska and elsewhere in order to maximize isolate recovery, subtype and sequence diversity for resultant viruses, and detection of evidence for intercontinental viral exchange.</span></p>","language":"English ","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0195327","usgsCitation":"Reeves, A.B., Hall, J., Poulson, R., Donnelly, T.F., Stallknecht, D.E., and Ramey, A.M., 2018, Influenza A virus recovery, diversity, and intercontinental exchange: A multi-year assessment of wild bird sampling at Izembek National Wildlife Refuge, Alaska: PLoS ONE, v. 13, no. 4, e0195327; 26 p., https://doi.org/10.1371/journal.pone.0195327.","productDescription":"e0195327; 26 p.","ipdsId":"IP-093440","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":460961,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0195327","text":"Publisher Index Page"},{"id":437958,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JD4W2W","text":"USGS data release","linkHelpText":"Influenza A Virus Data from Migratory Birds, Izembek National Wildlife Refuge, Alaska"},{"id":356741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Izembek National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.42987060546875,\n              55.02802211299252\n            ],\n            [\n              -162.46856689453125,\n              55.02802211299252\n            ],\n            [\n              -162.46856689453125,\n              55.51774716789874\n            ],\n            [\n              -163.42987060546875,\n              55.51774716789874\n            ],\n            [\n              -163.42987060546875,\n              55.02802211299252\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-04-05","publicationStatus":"PW","scienceBaseUri":"5b98a2d9e4b0702d0e842fff","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"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":743369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Jeffery S. 0000-0001-5599-2826","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":87049,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffery S.","affiliations":[],"preferred":false,"id":743370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":743371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donnelly, Tyrone F. tfdonnelly@usgs.gov","contributorId":4369,"corporation":false,"usgs":true,"family":"Donnelly","given":"Tyrone","email":"tfdonnelly@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":743372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stallknecht, David E.","contributorId":20230,"corporation":false,"usgs":true,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"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":743374,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196399,"text":"70196399 - 2018 - Featured collection introduction: Connectivity of streams and wetlands to downstream waters","interactions":[],"lastModifiedDate":"2018-04-05T11:09:00","indexId":"70196399","displayToPublicDate":"2018-04-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Featured collection introduction: Connectivity of streams and wetlands to downstream waters","docAbstract":"<p><span>Connectivity is a fundamental but highly dynamic property of watersheds. Variability in the types and degrees of aquatic ecosystem connectivity presents challenges for researchers and managers seeking to accurately quantify its effects on critical hydrologic, biogeochemical, and biological processes. However, protecting natural gradients of connectivity is key to protecting the range of ecosystem services that aquatic ecosystems provide. In this featured collection, we review the available evidence on connections and functions by which streams and wetlands affect the integrity of downstream waters such as large rivers, lakes, reservoirs, and estuaries. The reviews in this collection focus on the types of waters whose protections under the U.S. Clean Water Act have been called into question by U.S. Supreme Court cases. We synthesize 40+ years of research on longitudinal, lateral, and vertical fluxes of energy, material, and biota between aquatic ecosystems included within the Act's frame of reference. Many questions about the roles of streams and wetlands in sustaining downstream water integrity can be answered from currently available literature, and emerging research is rapidly closing data gaps with exciting new insights into aquatic connectivity and function at local, watershed, and regional scales. Synthesis of foundational and emerging research is needed to support science‐based efforts to provide safe, reliable sources of fresh water for present and future generations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12630","usgsCitation":"Alexander, L.C., Fritz, K.M., Schofield, K., Autrey, B., DeMeester, J., Golden, H.E., Goodrich, D.C., Kepner, W.G., Kiperwas, H.R., Lane, C., LeDuc, S.D., Leibowitz, S., McManus, M., Pollard, A.I., Ridley, C.E., Vanderhoof, M.K., and Wigington, P., 2018, Featured collection introduction: Connectivity of streams and wetlands to downstream waters: Journal of the American Water Resources Association, v. 54, no. 2, p. 287-297, https://doi.org/10.1111/1752-1688.12630.","productDescription":"11 p.","startPage":"287","endPage":"297","ipdsId":"IP-086537","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":353177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e7e4b0da30c1bfbf20","contributors":{"authors":[{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":732744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritz, Ken M. 0000-0002-3831-2531","orcid":"https://orcid.org/0000-0002-3831-2531","contributorId":203959,"corporation":false,"usgs":false,"family":"Fritz","given":"Ken","email":"","middleInitial":"M.","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":732745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schofield, Kate","contributorId":203960,"corporation":false,"usgs":false,"family":"Schofield","given":"Kate","affiliations":[{"id":36774,"text":"USEPA NCEA","active":true,"usgs":false}],"preferred":false,"id":732746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Autrey, Bradley","contributorId":203961,"corporation":false,"usgs":false,"family":"Autrey","given":"Bradley","email":"","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":732747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeMeester, Julie","contributorId":203962,"corporation":false,"usgs":false,"family":"DeMeester","given":"Julie","email":"","affiliations":[{"id":34601,"text":"Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":732748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":732749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goodrich, David C.","contributorId":65552,"corporation":false,"usgs":false,"family":"Goodrich","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":732750,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kepner, William G.","contributorId":174144,"corporation":false,"usgs":false,"family":"Kepner","given":"William","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":732751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kiperwas, Hadas R.","contributorId":203966,"corporation":false,"usgs":false,"family":"Kiperwas","given":"Hadas","email":"","middleInitial":"R.","affiliations":[{"id":36776,"text":"USEPA ORISE","active":true,"usgs":false}],"preferred":false,"id":732757,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":732752,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"LeDuc, Stephen D.","contributorId":203963,"corporation":false,"usgs":false,"family":"LeDuc","given":"Stephen","email":"","middleInitial":"D.","affiliations":[{"id":36774,"text":"USEPA NCEA","active":true,"usgs":false}],"preferred":false,"id":732753,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Leibowitz, Scott","contributorId":192092,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","affiliations":[],"preferred":false,"id":732754,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McManus, Michael G.","contributorId":203964,"corporation":false,"usgs":false,"family":"McManus","given":"Michael G.","affiliations":[{"id":36774,"text":"USEPA NCEA","active":true,"usgs":false}],"preferred":false,"id":732755,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pollard, Amina I.","contributorId":203965,"corporation":false,"usgs":false,"family":"Pollard","given":"Amina","email":"","middleInitial":"I.","affiliations":[{"id":36775,"text":"USEPA, Office of Water","active":true,"usgs":false}],"preferred":false,"id":732756,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ridley, Caroline E.","contributorId":203967,"corporation":false,"usgs":false,"family":"Ridley","given":"Caroline","email":"","middleInitial":"E.","affiliations":[{"id":36774,"text":"USEPA NCEA","active":true,"usgs":false}],"preferred":false,"id":732758,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":732743,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wigington, Parker J.","contributorId":203968,"corporation":false,"usgs":false,"family":"Wigington","given":"Parker J.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":732759,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70196400,"text":"70196400 - 2018 - Biota connect aquatic habitats throughout freshwater ecosystem mosaics","interactions":[],"lastModifiedDate":"2018-04-05T11:25:03","indexId":"70196400","displayToPublicDate":"2018-04-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Biota connect aquatic habitats throughout freshwater ecosystem mosaics","docAbstract":"<p><span>Freshwater ecosystems are linked at various spatial and temporal scales by movements of biota adapted to life in water. We review the literature on movements of aquatic organisms that connect different types of freshwater habitats, focusing on linkages from streams and wetlands to downstream waters. Here, streams, wetlands, rivers, lakes, ponds, and other freshwater habitats are viewed as dynamic freshwater ecosystem mosaics (FEMs) that collectively provide the resources needed to sustain aquatic life. Based on existing evidence, it is clear that biotic linkages throughout FEMs have important consequences for biological integrity and biodiversity. All aquatic organisms move within and among FEM components, but differ in the mode, frequency, distance, and timing of their movements. These movements allow biota to recolonize habitats, avoid inbreeding, escape stressors, locate mates, and acquire resources. Cumulatively, these individual movements connect populations within and among FEMs and contribute to local and regional diversity, resilience to disturbance, and persistence of aquatic species in the face of environmental change. Thus, the biological connections established by movement of biota among streams, wetlands, and downstream waters are critical to the ecological integrity of these systems. Future research will help advance our understanding of the movements that link FEMs and their cumulative effects on downstream waters.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12634","usgsCitation":"Schofield, K.A., Alexander, L.C., Ridley, C.E., Vanderhoof, M.K., Fritz, K.M., Autrey, B., DeMeester, J., Kepner, W.G., Lane, C., Leibowitz, S., and Pollard, A.I., 2018, Biota connect aquatic habitats throughout freshwater ecosystem mosaics: Journal of the American Water Resources Association, v. 54, no. 2, p. 372-399, https://doi.org/10.1111/1752-1688.12634.","productDescription":"28 p.","startPage":"372","endPage":"399","ipdsId":"IP-085914","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468847,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6621606","text":"External Repository"},{"id":353181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e7e4b0da30c1bfbf1e","contributors":{"authors":[{"text":"Schofield, Kate A.","contributorId":203969,"corporation":false,"usgs":false,"family":"Schofield","given":"Kate","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":732761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":732762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridley, Caroline E.","contributorId":203967,"corporation":false,"usgs":false,"family":"Ridley","given":"Caroline","email":"","middleInitial":"E.","affiliations":[{"id":36774,"text":"USEPA NCEA","active":true,"usgs":false}],"preferred":false,"id":732763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":732760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fritz, Ken M. 0000-0002-3831-2531","orcid":"https://orcid.org/0000-0002-3831-2531","contributorId":203959,"corporation":false,"usgs":false,"family":"Fritz","given":"Ken","email":"","middleInitial":"M.","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":732764,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Autrey, Bradley","contributorId":203961,"corporation":false,"usgs":false,"family":"Autrey","given":"Bradley","email":"","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":732765,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeMeester, Julie","contributorId":203962,"corporation":false,"usgs":false,"family":"DeMeester","given":"Julie","email":"","affiliations":[{"id":34601,"text":"Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":732766,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kepner, William G.","contributorId":174144,"corporation":false,"usgs":false,"family":"Kepner","given":"William","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":732767,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":732768,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leibowitz, Scott","contributorId":192092,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","affiliations":[],"preferred":false,"id":732769,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pollard, Amina I.","contributorId":203965,"corporation":false,"usgs":false,"family":"Pollard","given":"Amina","email":"","middleInitial":"I.","affiliations":[{"id":36775,"text":"USEPA, Office of Water","active":true,"usgs":false}],"preferred":false,"id":732770,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70196401,"text":"70196401 - 2018 - Connectivity of streams and wetlands to downstream waters: An integrated systems framework","interactions":[],"lastModifiedDate":"2018-04-05T11:29:37","indexId":"70196401","displayToPublicDate":"2018-04-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Connectivity of streams and wetlands to downstream waters: An integrated systems framework","docAbstract":"<p><span>Interest in connectivity has increased in the aquatic sciences, partly because of its relevance to the Clean Water Act. This paper has two objectives: (1) provide a framework to understand hydrological, chemical, and biological connectivity, focusing on how headwater streams and wetlands connect to and contribute to rivers; and (2) briefly review methods to quantify hydrological and chemical connectivity. Streams and wetlands affect river structure and function by altering material and biological fluxes to the river; this depends on two factors: (1) functions within streams and wetlands that affect material fluxes; and (2) connectivity (or isolation) from streams and wetlands to rivers that allows (or prevents) material transport between systems. Connectivity can be described in terms of frequency, magnitude, duration, timing, and rate of change. It results from physical characteristics of a system, e.g., climate, soils, geology, topography, and the spatial distribution of aquatic components. Biological connectivity is also affected by traits and behavior of the biota. Connectivity can be altered by human impacts, often in complex ways. Because of variability in these factors, connectivity is not constant but varies over time and space. Connectivity can be quantified with field‐based methods, modeling, and remote sensing. Further studies using these methods are needed to classify and quantify connectivity of aquatic ecosystems and to understand how impacts affect connectivity.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12631","usgsCitation":"Leibowitz, S.G., Wigington, P., Schoefield, K.A., Alexander, L.C., Vanderhoof, M.K., and Golden, H.E., 2018, Connectivity of streams and wetlands to downstream waters: An integrated systems framework: Journal of the American Water Resources Association, v. 54, no. 2, p. 298-322, https://doi.org/10.1111/1752-1688.12631.","productDescription":"25 p.","startPage":"298","endPage":"322","ipdsId":"IP-082971","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468849,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6071435","text":"Publisher Index Page"},{"id":353182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e7e4b0da30c1bfbf1c","contributors":{"authors":[{"text":"Leibowitz, Scott G.","contributorId":156432,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","email":"","middleInitial":"G.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":732772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wigington, Parker J.","contributorId":203968,"corporation":false,"usgs":false,"family":"Wigington","given":"Parker J.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":732773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoefield, Kate A.","contributorId":203970,"corporation":false,"usgs":false,"family":"Schoefield","given":"Kate","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":732774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":732775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":732771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":732776,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195823,"text":"fs20183012 - 2018 - Biological and ecological science for Michigan—The Great Lakes State","interactions":[],"lastModifiedDate":"2018-04-05T11:03:43","indexId":"fs20183012","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3012","title":"Biological and ecological science for Michigan—The Great Lakes State","docAbstract":"<p>Michigan is rich in lakes, rivers, dune and rocky shorelines, forests, fish and wildlife, and has the longest freshwater coastline in the United States, 3,224 miles. Many enterprises critical to Michigan’s economy and cultural heritage are based on natural resources including commercial and sport fishing, hunting, and other outdoor recreation. Overall, outdoor recreation is enjoyed by more than 63 percent of Michigan residents, and has been estimated to generate <span>$18.7</span> billion in consumer spending, create 194,000 jobs, and raise $1.4 billion in State and local tax revenue annually.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183012","usgsCitation":"U.S. Geological Survey, 2018, Biological and ecological science for Michigan—The Great Lakes State: U.S. Geological Survey Fact Sheet 2018-3012, 2 p., https://doi.org/10.3133/fs20183012.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-091846","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":353164,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3012/coverthb.jpg"},{"id":353165,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3012/fs20183012.pdf","text":"Report","size":"7.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3012"}],"country":"United 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 \"}}]}","contact":"<p><a href=\"https://www.usgs.gov/science/mission-areas/ecosystems\" target=\"blank\" data-mce-href=\"https://www.usgs.gov/science/mission-areas/ecosystems\">Ecosystems Mission Area</a><br> <a href=\"https://www.usgs.gov/ask/\" data-mce-href=\"https://www.usgs.gov/ask/\">https://www.usgs.gov/ask/</a><br> 1-800-ASK-USGS (1-800-275-8747)</p>","tableOfContents":"<ul><li>The USGS Ecosystems The USGS Ecosystems Mission Area<br></li><li>Sustaining the Michigan Great Lakes Fishery<br></li><li>Fighting a Damaging Invader<br></li><li>Bringing Back Lake Sturgeon<br></li><li>Restoration Science for Urban Revitalization<br></li><li>Sharing Information about Wildlife Diseases<br></li><li>Surveillance and Control Techniques for Unwelcome Invaders<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-04-04","noUsgsAuthors":false,"publicationDate":"2018-04-04","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf37","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":730174,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196377,"text":"70196377 - 2018 - Distribution and seasonal differences in Pacific Lamprey and Lampetra spp eDNA across 18 Puget Sound watersheds","interactions":[],"lastModifiedDate":"2018-04-04T11:17:32","indexId":"70196377","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Distribution and seasonal differences in Pacific Lamprey and <i>Lampetra spp</i> eDNA across 18 Puget Sound watersheds","title":"Distribution and seasonal differences in Pacific Lamprey and Lampetra spp eDNA across 18 Puget Sound watersheds","docAbstract":"<p><span>Lampreys have a worldwide distribution, are functionally important to ecological communities and serve significant roles in many cultures. In Pacific coast drainages of North America, lamprey populations have suffered large declines. However, lamprey population status and trends within many areas of this region are unknown and such information is needed for advancing conservation goals. We developed two quantitative PCR-based, aquatic environmental DNA (eDNA) assays for detection of Pacific Lamprey (</span><i>Entosphenus tridentatus</i><span>) and<span>&nbsp;</span></span><i>Lampetra</i><span><span>&nbsp;</span>spp, using locked nucleic acids (LNAs) in the probe design. We used these assays to characterize the spatial distribution of lamprey in 18 watersheds of Puget Sound, Washington, by collecting water samples in spring and fall. Pacific Lamprey and<span>&nbsp;</span></span><i>Lampetra</i><span>spp were each detected in 14 watersheds and co-occurred in 10 watersheds. Lamprey eDNA detection rates were much higher in spring compared to fall. Specifically, the Pacific Lamprey eDNA detection rate was 3.5 times higher in spring and the<span>&nbsp;</span></span><i>Lampetra</i><span><span>&nbsp;</span>spp eDNA detection rate was 1.5 times higher in spring even though larval lamprey are present in streams year-round. This significant finding highlights the importance of seasonality on eDNA detection. Higher stream discharge in the fall likely contributed to reduced eDNA detection rates, although seasonal life history events may have also contributed. These eDNA assays differentiate Pacific Lamprey and<span>&nbsp;</span></span><i>Lampetra</i><span><span>&nbsp;</span>spp across much of their range along the west coast of North America. Sequence analysis indicates the Pacific Lamprey assay also targets other<span>&nbsp;</span></span><i>Entosphenus</i><span><span>&nbsp;</span>spp and indicates the<span>&nbsp;</span></span><i>Lampetra</i><span><span>&nbsp;</span>spp assay may have limited or no capability of detecting<span>&nbsp;</span></span><i>Lampetra</i><span><span>&nbsp;</span>in some locations south of the Columbia River Basin. Nevertheless, these assays will serve as a valuable tool for resource managers and have direct application to lamprey conservation efforts, such as mapping species distributions, occupancy modeling, and monitoring translocations and reintroductions.</span></p>","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.4496","usgsCitation":"Ostberg, C.O., Chase, D.M., Hayes, M.C., and Duda, J.J., 2018, Distribution and seasonal differences in Pacific Lamprey and Lampetra spp eDNA across 18 Puget Sound watersheds: PeerJ, v. 6, p. 1-25, https://doi.org/10.7717/peerj.4496.","productDescription":"e4496; 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-090879","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468852,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.4496","text":"Publisher Index Page"},{"id":437962,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H994DT","text":"USGS data release","linkHelpText":"Distribution and seasonal differences in Pacific Lamprey and Lampetra spp eDNA across 18 Puget Sound watersheds, 2014 and 2015"},{"id":353142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.61267089843751,\n              46.882723010671945\n            ],\n            [\n              -121.7340087890625,\n              46.882723010671945\n            ],\n            [\n              -121.7340087890625,\n              49.05227025601607\n            ],\n            [\n              -123.61267089843751,\n              49.05227025601607\n            ],\n            [\n              -123.61267089843751,\n              46.882723010671945\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-16","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf2d","contributors":{"authors":[{"text":"Ostberg, Carl O. 0000-0003-1479-8458 costberg@usgs.gov","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":3031,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","email":"costberg@usgs.gov","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chase, Dorothy M. 0000-0002-7759-2687","orcid":"https://orcid.org/0000-0002-7759-2687","contributorId":203926,"corporation":false,"usgs":true,"family":"Chase","given":"Dorothy","email":"","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Michael C. 0000-0002-9060-0565 mhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":3017,"corporation":false,"usgs":true,"family":"Hayes","given":"Michael","email":"mhayes@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":145486,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":732670,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196373,"text":"70196373 - 2018 - N-mix for fish: estimating riverine salmonid habitat selection via N-mixture models","interactions":[],"lastModifiedDate":"2018-07-03T11:30:22","indexId":"70196373","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"N-mix for fish: estimating riverine salmonid habitat selection via N-mixture models","docAbstract":"<p><span>Models that formulate mathematical linkages between fish use and habitat characteristics are applied for many purposes. For riverine fish, these linkages are often cast as resource selection functions with variables including depth and velocity of water and distance to nearest cover. Ecologists are now recognizing the role that detection plays in observing organisms, and failure to account for imperfect detection can lead to spurious inference. Herein, we present a flexible N-mixture model to associate habitat characteristics with the abundance of riverine salmonids that simultaneously estimates detection probability. Our formulation has the added benefits of accounting for demographics variation and can generate probabilistic statements regarding intensity of habitat use. In addition to the conceptual benefits, model application to data from the Trinity River, California, yields interesting results. Detection was estimated to vary among surveyors, but there was little spatial or temporal variation. Additionally, a weaker effect of water depth on resource selection is estimated than that reported by previous studies not accounting for detection probability. N-mixture models show great promise for applications to riverine resource selection.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2017-0027","usgsCitation":"Som, N.A., Perry, R.W., Jones, E.C., De Juilio, K., Petros, P., Pinnix, W.D., and Rupert, D.L., 2018, N-mix for fish: estimating riverine salmonid habitat selection via N-mixture models: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 7, p. 1048-1058, https://doi.org/10.1139/cjfas-2017-0027.","productDescription":"11 p.","startPage":"1048","endPage":"1058","ipdsId":"IP-086618","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":501089,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/82344","text":"External Repository"},{"id":353134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf2f","contributors":{"authors":[{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":732647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Edward C. 0000-0001-7255-1475 ejones@usgs.gov","orcid":"https://orcid.org/0000-0001-7255-1475","contributorId":203917,"corporation":false,"usgs":true,"family":"Jones","given":"Edward","email":"ejones@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"De Juilio, Kyle","contributorId":203918,"corporation":false,"usgs":false,"family":"De Juilio","given":"Kyle","affiliations":[{"id":36756,"text":"Yurok Tribal Fisheries Program, Weaverville, CA 96093","active":true,"usgs":false}],"preferred":false,"id":732649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petros, Paul","contributorId":203920,"corporation":false,"usgs":false,"family":"Petros","given":"Paul","email":"","affiliations":[{"id":36758,"text":"Humboldt State University, Department of Fisheries Biology, Arcata, CA 95521","active":true,"usgs":false}],"preferred":false,"id":732651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pinnix, William D.","contributorId":203925,"corporation":false,"usgs":false,"family":"Pinnix","given":"William","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":732666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rupert, Derek L.","contributorId":203919,"corporation":false,"usgs":false,"family":"Rupert","given":"Derek","email":"","middleInitial":"L.","affiliations":[{"id":36757,"text":"U.S. Fish and Wildlife Service, Arcata FWO, Arcata, CA 95521","active":true,"usgs":false}],"preferred":false,"id":732650,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196367,"text":"70196367 - 2018 - Relating river discharge and water temperature to the recruitment of age‐0 White Sturgeon (Acipenser transmontanus Richardson, 1836) in the Columbia River using over‐dispersed catch data","interactions":[],"lastModifiedDate":"2018-04-04T11:04:31","indexId":"70196367","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Relating river discharge and water temperature to the recruitment of age‐0 White Sturgeon (<i>Acipenser transmontanus</i> Richardson, 1836) in the Columbia River using over‐dispersed catch data","title":"Relating river discharge and water temperature to the recruitment of age‐0 White Sturgeon (Acipenser transmontanus Richardson, 1836) in the Columbia River using over‐dispersed catch data","docAbstract":"<p><span>The goals were to (i) determine if river discharge and water temperature during various early life history stages were predictors of age‐0 White Sturgeon,&nbsp;</span><i>Acipenser transmontanus</i><span>, recruitment, and (ii) provide an example of how over‐dispersed catch data, including data with many zero observations, can be used to better understand the effects of regulated rivers on the productivity of depressed sturgeon populations. An information theoretic approach was used to develop and select negative binomial and zero‐inflated negative binomial models that model the relation of age‐0 White Sturgeon survey data from three contiguous Columbia River reservoirs to river discharge and water temperature during spawning, egg incubation, larval, and post‐larval phases. Age‐0 White Sturgeon were collected with small mesh gill nets in The Dalles and John Day reservoirs from 1997 to 2014 and a bottom trawl in Bonneville Reservoir from 1989 to 2006. Results suggest that seasonal river discharge was positively correlated with age‐0 recruitment; notably that discharge, 16 June–31 July was positively correlated to age‐0 recruitment in all three reservoirs. The best approximating models for two of the three reservoirs also suggest that seasonal water temperature may be a determinant of age‐0 recruitment. Our research demonstrates how over‐dispersed catch data can be used to better understand the effects of environmental conditions on sturgeon populations caused by the construction and operation of dams.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jai.13570","usgsCitation":"Counihan, T.D., and Chapman, C.G., 2018, Relating river discharge and water temperature to the recruitment of age‐0 White Sturgeon (Acipenser transmontanus Richardson, 1836) in the Columbia River using over‐dispersed catch data: Journal of Applied Ichthyology, v. 34, no. 2, p. 279-289, https://doi.org/10.1111/jai.13570.","productDescription":"11 p.","startPage":"279","endPage":"289","ipdsId":"IP-074421","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":460965,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13570","text":"Publisher Index Page"},{"id":353138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.12353515624999,\n              45.213003555993964\n            ],\n            [\n              -117.12524414062501,\n              45.213003555993964\n            ],\n            [\n              -117.12524414062501,\n              46.800059446787316\n            ],\n            [\n              -124.12353515624999,\n              46.800059446787316\n            ],\n            [\n              -124.12353515624999,\n              45.213003555993964\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-23","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf33","contributors":{"authors":[{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Colin G.","contributorId":197963,"corporation":false,"usgs":false,"family":"Chapman","given":"Colin","email":"","middleInitial":"G.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":732627,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196365,"text":"70196365 - 2018 - Herbivory and eutrophication mediate grassland plant nutrient responses across a global climatic gradient","interactions":[],"lastModifiedDate":"2018-04-04T11:12:57","indexId":"70196365","displayToPublicDate":"2018-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Herbivory and eutrophication mediate grassland plant nutrient responses across a global climatic gradient","docAbstract":"<p><span>Plant stoichiometry, the relative concentration of elements, is a key regulator of ecosystem functioning and is also being altered by human activities. In this paper we sought to understand the global drivers of plant stoichiometry and compare the relative contribution of climatic vs. anthropogenic effects. We addressed this goal by measuring plant elemental (C, N, P and K) responses to eutrophication and vertebrate herbivore exclusion at eighteen sites on six continents. Across sites, climate and atmospheric N deposition emerged as strong predictors of plot‐level tissue nutrients, mediated by biomass and plant chemistry. Within sites, fertilization increased total plant nutrient pools, but results were contingent on soil fertility and the proportion of grass biomass relative to other functional types. Total plant nutrient pools diverged strongly in response to herbivore exclusion when fertilized; responses were largest in ungrazed plots at low rainfall, whereas herbivore grazing dampened the plant community nutrient responses to fertilization. Our study highlights (1) the importance of climate in determining plant nutrient concentrations mediated through effects on plant biomass, (2) that eutrophication affects grassland nutrient pools via both soil and atmospheric pathways and (3) that interactions among soils, herbivores and eutrophication drive plant nutrient responses at small scales, especially at water‐limited sites.</span></p>","language":"English","publisher":"Ecology Society of America","doi":"10.1002/ecy.2175","usgsCitation":"Anderson, T.M., Griffith, D.M., Grace, J.B., Lind, E., Adler, P.B., Biederman, L.A., Blumenthal, D.M., Daleo, P., Firn, J., Hagenah, N., Harpole, W.S., MacDougall, A.S., McCulley, R.L., Prober, S.M., Risch, A.C., Sankaran, M., Schutz, M., Seabloom, E.W., Stevens, C.J., Sullivan, L., Wragg, P., and Borer, E.T., 2018, Herbivory and eutrophication mediate grassland plant nutrient responses across a global climatic gradient: Ecology, v. 99, no. 4, p. 822-831, https://doi.org/10.1002/ecy.2175.","productDescription":"10 p.","startPage":"822","endPage":"831","ipdsId":"IP-084236","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468853,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecy.2175","text":"External Repository"},{"id":353140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-31","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf35","contributors":{"authors":[{"text":"Anderson, T. Michael","contributorId":203893,"corporation":false,"usgs":false,"family":"Anderson","given":"T.","email":"","middleInitial":"Michael","affiliations":[{"id":36744,"text":"Wake Forest University","active":true,"usgs":false}],"preferred":false,"id":732600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Daniel M.","contributorId":203894,"corporation":false,"usgs":false,"family":"Griffith","given":"Daniel","email":"","middleInitial":"M.","affiliations":[{"id":36744,"text":"Wake Forest University","active":true,"usgs":false}],"preferred":false,"id":732601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":732599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lind, Eric M.","contributorId":44828,"corporation":false,"usgs":false,"family":"Lind","given":"Eric M.","affiliations":[],"preferred":false,"id":732602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adler, Peter B.","contributorId":64789,"corporation":false,"usgs":false,"family":"Adler","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":732603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biederman, Lori A.","contributorId":203895,"corporation":false,"usgs":false,"family":"Biederman","given":"Lori","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":732604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blumenthal, Dana M.","contributorId":203896,"corporation":false,"usgs":false,"family":"Blumenthal","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":36745,"text":"USDA-ARS Rangeland Resources Research Unit","active":true,"usgs":false}],"preferred":false,"id":732605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Daleo, Pedro","contributorId":203897,"corporation":false,"usgs":false,"family":"Daleo","given":"Pedro","email":"","affiliations":[{"id":36746,"text":"Universidad Nacional de Mar del Plata","active":true,"usgs":false}],"preferred":false,"id":732607,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Firn, Jennifer","contributorId":66405,"corporation":false,"usgs":false,"family":"Firn","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":732608,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hagenah, Nicole","contributorId":203898,"corporation":false,"usgs":false,"family":"Hagenah","given":"Nicole","email":"","affiliations":[{"id":28213,"text":"University of KwaZulu-Natal","active":true,"usgs":false}],"preferred":false,"id":732609,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Harpole, W. Stanley","contributorId":131024,"corporation":false,"usgs":false,"family":"Harpole","given":"W.","email":"","middleInitial":"Stanley","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":732610,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"MacDougall, Andrew S.","contributorId":203899,"corporation":false,"usgs":false,"family":"MacDougall","given":"Andrew","email":"","middleInitial":"S.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":732611,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McCulley, Rebecca L.","contributorId":203900,"corporation":false,"usgs":false,"family":"McCulley","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":732612,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Prober, Suzanne M.","contributorId":74498,"corporation":false,"usgs":false,"family":"Prober","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":732613,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Risch, Anita C.","contributorId":203901,"corporation":false,"usgs":false,"family":"Risch","given":"Anita","email":"","middleInitial":"C.","affiliations":[{"id":36747,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research, Community Ecology","active":true,"usgs":false}],"preferred":false,"id":732614,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sankaran, Mahesh","contributorId":203902,"corporation":false,"usgs":false,"family":"Sankaran","given":"Mahesh","email":"","affiliations":[{"id":36748,"text":"National Centre for Biological Sciences, Bangalor, India","active":true,"usgs":false}],"preferred":false,"id":732615,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Schutz, Martin","contributorId":203903,"corporation":false,"usgs":false,"family":"Schutz","given":"Martin","email":"","affiliations":[{"id":36747,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research, Community Ecology","active":true,"usgs":false}],"preferred":false,"id":732616,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Seabloom, Eric W.","contributorId":60762,"corporation":false,"usgs":false,"family":"Seabloom","given":"Eric","email":"","middleInitial":"W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":732617,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Stevens, Carly J.","contributorId":203904,"corporation":false,"usgs":false,"family":"Stevens","given":"Carly","email":"","middleInitial":"J.","affiliations":[{"id":36749,"text":"Lancaster Environment Centre, Lancaster University","active":true,"usgs":false}],"preferred":false,"id":732618,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Sullivan, Lauren","contributorId":203905,"corporation":false,"usgs":false,"family":"Sullivan","given":"Lauren","affiliations":[{"id":25341,"text":"Department of Ecology, Evolution, and Organismal Biology, Iowa State University","active":true,"usgs":false}],"preferred":false,"id":732619,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Wragg, Peter","contributorId":203906,"corporation":false,"usgs":false,"family":"Wragg","given":"Peter","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":732620,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Borer, Elizabeth T.","contributorId":45049,"corporation":false,"usgs":false,"family":"Borer","given":"Elizabeth","email":"","middleInitial":"T.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":732606,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70196313,"text":"ofr20171157 - 2018 - Barrier-island and estuarine-wetland physical-change assessment after Hurricane Sandy","interactions":[],"lastModifiedDate":"2025-05-13T16:22:30.827212","indexId":"ofr20171157","displayToPublicDate":"2018-04-03T10:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1157","title":"Barrier-island and estuarine-wetland physical-change assessment after Hurricane Sandy","docAbstract":"<h1>Introduction</h1><p>The Nation’s eastern coast is fringed by beaches, dunes, barrier islands, wetlands, and bluffs. These natural coastal barriers provide critical benefits and services, and can mitigate the impact of storms, erosion, and sea-level rise on our coastal communities. Waves and storm surge resulting from Hurricane Sandy, which made landfall along the New Jersey coast on October 29, 2012, impacted the U.S. coastline from North Carolina to Massachusetts, including Assateague Island, Maryland and Virginia, and the Delmarva coastal system. The storm impacts included changes in topography, coastal morphology, geology, hydrology, environmental quality, and ecosystems.</p><p>In the immediate aftermath of the storm, light detection and ranging (lidar) surveys from North Carolina to New York documented storm impacts to coastal barriers, providing a baseline to assess vulnerability of the reconfigured coast. The focus of much of the existing coastal change assessment is along the ocean-facing coastline; however, much of the coastline affected by Hurricane Sandy includes the estuarine-facing coastlines of barrier-island systems. Specifically, the wetland and back-barrier shorelines experienced substantial change as a result of wave action and storm surge that occurred during Hurricane Sandy (see also USGS photograph, <a href=\"http://coastal.er.usgs.gov/hurricanes/sandy/photo-comparisons/virginia.php\" data-mce-href=\"http://coastal.er.usgs.gov/hurricanes/sandy/photo-comparisons/virginia.php\">http://coastal.er.usgs.gov/hurricanes/sandy/photo-comparisons/virginia.php</a>). Assessing physical shoreline and wetland change (land loss as well as land gains) can help to determine the resiliency of wetland systems that protect adjacent habitat, shorelines, and communities.</p><p>To address storm impacts to wetlands, a vulnerability assessment should describe both long-term (for example, several decades) and short-term (for example, Sandy’s landfall) extent and character of the interior wetlands and the back-barrier-shoreline changes. The objective of this report is to describe several new wetland vulnerability assessments based on the detailed physical changes estimated from observations. The scope includes understanding changes caused by both short- and long-term processes using both remotely sensed and in situ observations to characterize changes to the wetland in terms of accretion/expansion and erosion/contraction. Accretion may be due to net vertical and (or) horizontal deposition, including estuarine-shoreline change due to overwash. Wetland erosion may be due to elevated waves and water levels in the estuary itself. We included additional information based on wave runup and storm-surge elevations based on models and elevation data. We then developed a predictive assessment for wetland vulnerability that describes the likelihood of changes of the estuarine shoreline and the landward extent of sand overwash driven by processes occurring on the ocean-facing shoreline. This assessment is intended to be linked to the beach and dune vulnerability assessments that have been developed previously.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171157","usgsCitation":"Plant, N.G., Smith, K.E.L., Passeri, D.L., Smith, C.G., and Bernier, J.C., 2018, Barrier-island and estuarine-wetland physical-change assessment after Hurricane Sandy: U.S. Geological Survey Open-File Report 2017–1157, 36 p.,  https://doi.org/10.3133/ofr20171157.","productDescription":"viii, 36 p.","numberOfPages":"45","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073468","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":353051,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1157/coverthb.jpg"},{"id":353052,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1157/ofr20171157.pdf","text":"Report","size":"7.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1157"}],"contact":"<p>Director, <a href=\"https://coastal.er.usgs.gov\" data-mce-href=\"https://coastal.er.usgs.gov\">St. Petersburg Coastal and Marine Science </a>Center<br> U.S. Geological Survey<br> 600 4th Street South<br> St. Petersburg, FL 33701</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Introduction</li><li>Methods</li><li>Results&nbsp;</li><li>Discussion</li><li>Conclusions&nbsp;</li><li>References Cited</li><li>Appendix 1. BN Models</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-04-03","noUsgsAuthors":false,"publicationDate":"2018-04-03","publicationStatus":"PW","scienceBaseUri":"5afee6e8e4b0da30c1bfbf39","contributors":{"authors":[{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":732281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Kathryn E.L. 0000-0002-7521-7875 kelsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-7521-7875","contributorId":173264,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn","email":"kelsmith@usgs.gov","middleInitial":"E.L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":732282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":732283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":732284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":732285,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196349,"text":"70196349 - 2018 - Linking animals aloft with the terrestrial landscape","interactions":[],"lastModifiedDate":"2018-04-03T12:01:24","indexId":"70196349","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Linking animals aloft with the terrestrial landscape","docAbstract":"<p><span>Despite using the aerosphere for many facets of their life, most flying animals (i.e., birds, bats, some insects) are still bound to terrestrial habitats for resting, feeding, and reproduction. Comprehensive broad-scale observations by weather surveillance radars of animals as they leave terrestrial habitats for migration or feeding flights can be used to map their terrestrial distributions either as point locations (e.g., communal roosts) or as continuous surface layers (e.g., animal densities in habitats across a landscape). We discuss some of the technical challenges to reducing measurement biases related to how radars sample the aerosphere and the flight behavior of animals. We highlight a recently developed methodological approach that precisely and quantitatively links the horizontal spatial structure of birds aloft to their terrestrial distributions and provides novel insights into avian ecology and conservation across broad landscapes. Specifically, we present case studies that (1) elucidate how migrating birds contend with crossing ecological barriers and extreme weather events, (2) identify important stopover areas and habitat use patterns of birds along their migration routes, and (3) assess waterfowl response to wetland habitat management and restoration. These studies aid our understanding of how anthropogenic modification of the terrestrial landscape (e.g., urbanization, habitat management), natural geographic features, and weather (e.g., hurricanes) can affect the terrestrial distributions of flying animals.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Aeroecology","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-68576-2_14","usgsCitation":"Buler, J.J., Barrow, W., Boone, M., Dawson, D.K., Diehl, R.H., Moore, F.R., Randall, L.A., Schreckengost, T., and Smolinsky, J.A., 2018, Linking animals aloft with the terrestrial landscape, chap. <i>of</i> Aeroecology, p. 347-378, https://doi.org/10.1007/978-3-319-68576-2_14.","productDescription":"32 p.","startPage":"347","endPage":"378","ipdsId":"IP-072437","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":353099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-24","publicationStatus":"PW","scienceBaseUri":"5afee6e9e4b0da30c1bfbf43","contributors":{"authors":[{"text":"Buler, Jeffrey J.","contributorId":194648,"corporation":false,"usgs":false,"family":"Buler","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":732526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrow, Wylie C. Jr. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":168953,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","suffix":"Jr.","email":"barroww@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":732528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boone, Matthew","contributorId":202724,"corporation":false,"usgs":false,"family":"Boone","given":"Matthew","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":732527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dawson, Deanna K. 0000-0001-7531-212X ddawson@usgs.gov","orcid":"https://orcid.org/0000-0001-7531-212X","contributorId":202720,"corporation":false,"usgs":true,"family":"Dawson","given":"Deanna","email":"ddawson@usgs.gov","middleInitial":"K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":732529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, Frank R.","contributorId":54582,"corporation":false,"usgs":false,"family":"Moore","given":"Frank","email":"","middleInitial":"R.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":732530,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Randall, Lori A. 0000-0003-0100-994X randalll@usgs.gov","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":2678,"corporation":false,"usgs":true,"family":"Randall","given":"Lori","email":"randalll@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":732531,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schreckengost, Timothy","contributorId":203867,"corporation":false,"usgs":false,"family":"Schreckengost","given":"Timothy","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":732532,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smolinsky, Jaclyn A.","contributorId":202723,"corporation":false,"usgs":false,"family":"Smolinsky","given":"Jaclyn","email":"","middleInitial":"A.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":732533,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70196360,"text":"70196360 - 2018 - Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity","interactions":[],"lastModifiedDate":"2018-04-03T14:09:14","indexId":"70196360","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity","docAbstract":"<p><span>One of the primary goals of biological assessment of streams is to identify which of a suite of chemical stressors is limiting their ecological potential. Elevated metal concentrations in streams are often associated with low pH, yet the effects of these two potentially limiting factors of freshwater biodiversity are rarely considered to interact beyond the effects of pH on metal speciation. Using a dataset from two continents, a biogeochemical model of the toxicity of metal mixtures (Al, Cd, Cu, Pb, Zn) and quantile regression, we addressed the relative importance of both pH and metals as limiting factors for macroinvertebrate communities. Current environmental quality standards for metals proved to be protective of stream macroinvertebrate communities and were used as a starting point to assess metal mixture toxicity. A model of metal mixture toxicity accounting for metal interactions was a better predictor of macroinvertebrate responses than a model considering individual metal toxicity. We showed that the direct limiting effect of pH on richness was of the same magnitude as that of chronic metal toxicity, independent of its influence on the availability and toxicity of metals. By accounting for the direct effect of pH on macroinvertebrate communities, we were able to determine that acidic streams supported less diverse communities than neutral streams even when metals were below no-effect thresholds. Through a multivariate quantile model, we untangled the limiting effect of both pH and metals and predicted the maximum diversity that could be expected at other sites as a function of these variables. This model can be used to identify which of the two stressors is more limiting to the ecological potential of running waters.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2017.12.097","usgsCitation":"Fornaroli, R., Ippolito, A., Tolkkinen, M.J., Mykra, H., Muotka, T., Balistrieri, L.S., and Schmidt, T., 2018, Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity: Environmental Pollution, v. 235, p. 889-898, https://doi.org/10.1016/j.envpol.2017.12.097.","productDescription":"10 p.","startPage":"889","endPage":"898","ipdsId":"IP-079637","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":437964,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7R20ZJW","text":"USGS data release","linkHelpText":"Disentangling the effects of low pH and metal mixture toxicity on macroinvertebrate diversity: datasets"},{"id":353113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"235","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e9e4b0da30c1bfbf3d","contributors":{"authors":[{"text":"Fornaroli, Riccardo","contributorId":201354,"corporation":false,"usgs":false,"family":"Fornaroli","given":"Riccardo","email":"","affiliations":[],"preferred":false,"id":732575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ippolito, Alessio","contributorId":201355,"corporation":false,"usgs":false,"family":"Ippolito","given":"Alessio","email":"","affiliations":[],"preferred":false,"id":732576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tolkkinen, Mari J.","contributorId":201357,"corporation":false,"usgs":false,"family":"Tolkkinen","given":"Mari","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":732578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mykra, Heikki","contributorId":201358,"corporation":false,"usgs":false,"family":"Mykra","given":"Heikki","email":"","affiliations":[],"preferred":false,"id":732579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muotka, Timo","contributorId":201359,"corporation":false,"usgs":false,"family":"Muotka","given":"Timo","email":"","affiliations":[],"preferred":false,"id":732580,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":732574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":732577,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196356,"text":"70196356 - 2018 - Quantifying differences in responses of aquatic insects to trace metal exposure in field studies and short-term stream mesocosm experiments","interactions":[],"lastModifiedDate":"2018-04-03T14:14:36","indexId":"70196356","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying differences in responses of aquatic insects to trace metal exposure in field studies and short-term stream mesocosm experiments","docAbstract":"<p><span>Characterizing macroinvertebrate taxa as either sensitive or tolerant is of critical importance for investigating impacts of anthropogenic stressors in aquatic ecosystems and for inferring causality. However, our understanding of relative sensitivity of aquatic insects to metals in the field and under controlled conditions in the laboratory or mesocosm experiments is limited. In this study, we compared the response of 16 lotic macroinvertebrate families to metals in short-term (10-day) stream mesocosm experiments and in a spatially extensive field study of 154 Colorado streams. Comparisons of field and mesocosm-derived EC</span><sub>20</sub><span><span>&nbsp;</span>(effect concentration of 20%) values showed that aquatic insects were generally more sensitive to metals in the field. Although the ranked sensitivity to metals was similar for many families, we observed large differences between field and mesocosm responses for some groups (e.g., Baetidae and Heptageniidae). These differences most likely resulted from the inability of short-term experiments to account for factors such as dietary exposure to metals, rapid recolonization in the field, and effects of metals on sensitive life stages. Understanding mechanisms responsible for differences among field, mesocosm, and laboratory approaches would improve our ability to predict contaminant effects and establish ecologically meaningful water-quality criteria.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.7b06628","usgsCitation":"Iwasaki, Y., Schmidt, T., and Clements, W.H., 2018, Quantifying differences in responses of aquatic insects to trace metal exposure in field studies and short-term stream mesocosm experiments: Environmental Science & Technology, v. 52, no. 7, p. 4378-4384, https://doi.org/10.1021/acs.est.7b06628.","productDescription":"7 p.","startPage":"4378","endPage":"4384","ipdsId":"IP-083029","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":353116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-22","publicationStatus":"PW","scienceBaseUri":"5afee6e9e4b0da30c1bfbf3f","contributors":{"authors":[{"text":"Iwasaki, Yuichi","contributorId":175410,"corporation":false,"usgs":false,"family":"Iwasaki","given":"Yuichi","email":"","affiliations":[{"id":27568,"text":"Tokyo Institute of Tecnology","active":true,"usgs":false}],"preferred":false,"id":732558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":732557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clements, William H.","contributorId":178714,"corporation":false,"usgs":false,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":732559,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196336,"text":"70196336 - 2018 - The aerosphere as a network connector of organisms and their diseases","interactions":[],"lastModifiedDate":"2018-04-03T11:45:55","indexId":"70196336","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The aerosphere as a network connector of organisms and their diseases","docAbstract":"<p><span>Aeroecological processes, especially powered flight of animals, can rapidly connect biological communities across the globe. This can have profound consequences for evolutionary diversification, energy and nutrient transfers, and the spread of infectious diseases. The latter is of particular consequence for human populations, since migratory birds are known to host diseases which have a history of transmission into domestic poultry or even jumping to human hosts. In this chapter, we present a scenario under which a highly pathogenic avian influenza (HPAI) strain enters North America from East Asia via post-molting waterfowl migration. We use an agent-based model (ABM) to simulate the movement and disease transmission among 10</span><sup>6</sup><span><span>&nbsp;</span>generalized waterfowl agents originating from ten molting locations in eastern Siberia, with the HPAI seeded in only ~10</span><sup>2</sup><span><span>&nbsp;</span>agents at one of these locations. Our ABM tracked the disease dynamics across a very large grid of sites as well as individual agents, allowing us to examine the spatiotemporal patterns of change in virulence of the HPAI infection as well as waterfowl host susceptibility to the disease. We concurrently simulated a 12-station disease monitoring network in the northwest USA and Canada in order to assess the potential efficacy of these sites to detect and confirm the arrival of HPAI. Our findings indicated that HPAI spread was initially facilitated but eventually subdued by the migration of host agents. Yet, during the 90-day simulation, selective pressures appeared to have distilled the HPAI strain to its most virulent form (i.e., through natural selection), which was counterbalanced by the host susceptibility being conversely reduced (i.e., through genetic predisposition and acquired immunity). The monitoring network demonstrated wide variation in the utility of sites; some were clearly better at providing early warnings of HPAI arrival, while sites further from the disease origin exposed the selective dynamics which slowed the spread of the disease albeit with the result of passing highly virulent strains into southern wintering locales (where human impacts are more likely). Though the ABM presented had generalized waterfowl migration and HPAI disease dynamics, this exercise demonstrates the power of such simulations to examine the extremely large and complex processes which comprise aeroecology. We offer insights into how such models could be further parameterized to represent HPAI transmission risks as well as how ABMs could be applied to other aeroecological questions pertaining to individual-based connectivity.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Aeroecology","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-68576-2_17","usgsCitation":"Ross, J.D., Bridge, E.S., Prosser, D.J., and Takekawa, J., 2018, The aerosphere as a network connector of organisms and their diseases, chap. <i>of</i> Aeroecology, p. 427-464, https://doi.org/10.1007/978-3-319-68576-2_17.","productDescription":"38 p.","startPage":"427","endPage":"464","ipdsId":"IP-072061","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":353096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-24","publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf4d","contributors":{"authors":[{"text":"Ross, Jeremy D.","contributorId":189958,"corporation":false,"usgs":false,"family":"Ross","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":732378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bridge, Eli S.","contributorId":203804,"corporation":false,"usgs":false,"family":"Bridge","given":"Eli","email":"","middleInitial":"S.","affiliations":[{"id":36723,"text":"Oklahoma Biological Survey, University of Oklahoma, Norman, OK","active":true,"usgs":false}],"preferred":false,"id":732379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":732380,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196335,"text":"70196335 - 2018 - An epidemiological model of virus transmission in salmonid fishes of the Columbia River Basin","interactions":[],"lastModifiedDate":"2018-04-03T11:10:18","indexId":"70196335","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","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":"An epidemiological model of virus transmission in salmonid fishes of the Columbia River Basin","docAbstract":"<p><span>We have developed a dynamic epidemiological model informed by records of viral presence and genotypes to evaluate potential transmission routes maintaining a viral pathogen in economically and culturally important anadromous fish populations. In the Columbia River Basin, infectious hematopoietic necrosis virus (IHNV) causes severe disease, predominantly in juvenile steelhead trout (</span><i>Oncorhynchus mykiss</i><span>) and less frequently in Chinook salmon (</span><i>O. tshawytscha</i><span>). Mortality events following IHNV infection can be devastating for individual hatchery programs. Despite reports of high local mortality and extensive surveillance efforts, there are questions about how viral transmission is maintained. Modeling this system offers important insights into disease transmission in natural aquatic systems, as well as about the data requirements for generating accurate estimates about transmission routes and infection probabilities. We simulated six scenarios in which testing rates and the relative importance of different transmission routes varied. The simulations demonstrated that the model accurately identified routes of transmission and inferred infection probabilities accurately when there was testing of all cohort-sites. When testing records were incomplete, the model accurately inferred which transmission routes exposed particular cohort-sites but generated biased infection probabilities given exposure. After validating the model and generating guidelines for result interpretation, we applied the model to data from 14 annual cohorts (2000–2013) at 24 focal sites in a sub-region of the Columbia River Basin, the lower Columbia River (LCR), to quantify the relative importance of potential transmission routes in this focal sub-region. We demonstrate that exposure to IHNV via the return migration of adult fish is an important route for maintaining IHNV in the LCR sub-region, and the probability of infection following this exposure was relatively high at 0.16. Although only 1% of cohort-sites experienced self-exposure by infected juvenile fish, this transmission route had the greatest probability of infection (0.22). Increased testing and/or determining whether transmission can occur from cohort-sites without testing records (e.g., determining there was no testing record because there were no fish at the cohort-site) are expected to improve inference about infection probabilities. Increased use of secure water supplies and continued use of biosecurity protocols may reduce IHNV transmission from adult fish and juvenile fish within the site, respectively, to juvenile salmonids at hatcheries. Models and conclusions from this study are potentially relevant to understanding the relative importance of transmission routes for other important aquatic pathogens in salmonids, including the agents of bacterial kidney disease and coldwater disease, and the basic approach may be useful for other pathogens and hosts in other geographic regions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.03.002","usgsCitation":"Ferguson, P.F., Breyta, R., Brito, I.L., Kurath, G., and LaDeau, S.L., 2018, An epidemiological model of virus transmission in salmonid fishes of the Columbia River Basin: Ecological Modelling, v. 377, p. 1-15, https://doi.org/10.1016/j.ecolmodel.2018.03.002.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-091422","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468859,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2018.03.002","text":"Publisher Index Page"},{"id":353082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"377","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf4f","contributors":{"authors":[{"text":"Ferguson, Paige F. B.","contributorId":203803,"corporation":false,"usgs":false,"family":"Ferguson","given":"Paige","email":"","middleInitial":"F. B.","affiliations":[{"id":36722,"text":"Department of Biological Sciences, University of Alabama, Box 870344, Tuscaloosa, AL 35487","active":true,"usgs":false}],"preferred":false,"id":732373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breyta, Rachel","contributorId":150355,"corporation":false,"usgs":false,"family":"Breyta","given":"Rachel","affiliations":[],"preferred":false,"id":732374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brito, Ilana L.","contributorId":177102,"corporation":false,"usgs":false,"family":"Brito","given":"Ilana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":732375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":732372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaDeau, Shannon L.","contributorId":172640,"corporation":false,"usgs":false,"family":"LaDeau","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":732376,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194741,"text":"sir20175155 - 2018 - Hydrologic assessment and numerical simulation of groundwater flow, San Juan Mine, San Juan County, New Mexico, 2010–13","interactions":[],"lastModifiedDate":"2018-04-09T15:08:19","indexId":"sir20175155","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5155","title":"Hydrologic assessment and numerical simulation of groundwater flow, San Juan Mine, San Juan County, New Mexico, 2010–13","docAbstract":"<p>Coal combustion byproducts (CCBs), which are composed of fly ash, bottom ash, and flue gas desulfurization material, produced at the coal-fired San Juan Generating Station (SJGS), located in San Juan County, New Mexico, have been buried in former surface-mine pits at the San Juan Mine, also referred to as the San Juan Coal Mine, since operations began in the early 1970s. This report, prepared by the U.S. Geological Survey in cooperation with the Mining and Minerals Division of the New Mexico Energy, Minerals and Natural Resources Department, describes results of a hydrogeologic assessment, including numerical groundwater modeling, to identify the timing of groundwater recovery and potential pathways for groundwater transport of metals that may be leached from stored CCBs and reach hydrologic receptors after operations cease. Data collected for the hydrologic assessment indicate that groundwater in at least one centrally located reclaimed surface-mining pit has already begun to recover.</p><p>The U.S. Geological Survey numerical modeling package&nbsp;MODFLOW–NWT was used with MODPATH particle-tracking software to identify advective flow paths from CCB storage areas toward potential hydrologic receptors.&nbsp;Results indicate that groundwater at CCB storage areas will recover to the former steady state, or in some locations, groundwater may recover to a new steady state in 6,600 to 10,600 years at variable rates depending on the proximity to a residual cone-of-groundwater depression caused by mine dewatering and regional oil and gas pumping as well as on actual, rather than estimated, groundwater recharge and evapotranspirational losses. Advective particle-track modeling indicates that the number of particles and rates of advective transport will vary depending on hydraulic properties of the mine spoil, particularly hydraulic conductivity and porosity. Modeling results from the most conservative scenario indicate that particles can migrate from CCB repositories to either the Shumway Arroyo alluvium after 1,320 years and from there to the San Juan River alluvium after 1,520 years or from southernmost CCB repositories directly to the San Juan River alluvium after 2,400 years after the cessation of mining.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175155","collaboration":"Prepared in cooperation with the Mining and Minerals Division of the State of New Mexico Energy, Minerals and Natural Resources Department","usgsCitation":"Stewart, A.M., 2018, Hydrologic assessment and numerical simulation of groundwater flow, San Juan Mine, San Juan County, New Mexico, 2010–13: U.S. Geological Survey Scientific Investigations Report 2017–5155, 94 p., https://doi.org/10.3133/sir20175155.","productDescription":"Report: xi, 94 p.; Data Releases","numberOfPages":"110","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-080017","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":352877,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Q81BJK","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Chemical analyses for arsenic, calcium, chloride, sodium, sulfate, sulfide and dissolved solids, August 2011 through December 2013, from groundwater sampled at or in the vicinity of the San Juan Coal Mine, New Mexico"},{"id":353249,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75719JV","text":"USGS data release","description":"USGS Data Release","linkHelpText":"MODFLOW–NWT and MODPATH5 models used to identify potential flow paths from San Juan Mine to hydrologic receptors, San Juan County, New Mexico"},{"id":352876,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5155/sir20175155.pdf","text":"Report","size":"6.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5155"},{"id":352875,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5155/coverthb.jpg"}],"country":"United States","state":"New Mexico","county":"San Juan County","otherGeospatial":"San Juan Mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.5,\n              36.7167\n            ],\n            [\n              -108.1,\n              36.72099868793134\n            ],\n            [\n              -108.1,\n              37\n            ],\n            [\n              -108.5,\n              37\n            ],\n            [\n              -108.5,\n              36.7167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: dc_nm@usgs.gov\" data-mce-href=\"mailto: dc_nm@usgs.gov\">Director</a>, <a href=\"https://nm.water.usgs.gov/\" data-mce-href=\"https://nm.water.usgs.gov/\">New Mexico Water Science Center</a><br>U.S. Geological Survey<br>6700 Edith Blvd NE<br>Albuquerque, NM 87113<br></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Purpose and Scope<br></li><li>Description of Study Area<br></li><li>Hydrologic Assessment of the San Juan Mine Study Area<br></li><li>Numerical Simulation of Groundwater Flow<br></li><li>Suggestions for Further Data Collection<br></li><li>Summary<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2018-04-03","noUsgsAuthors":false,"publicationDate":"2018-04-03","publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf55","contributors":{"authors":[{"text":"Stewart, Anne M. astewart@usgs.gov","contributorId":3938,"corporation":false,"usgs":true,"family":"Stewart","given":"Anne","email":"astewart@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725092,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196348,"text":"70196348 - 2018 - On the sensitivity of annual streamflow to air temperature","interactions":[],"lastModifiedDate":"2018-05-29T13:33:20","indexId":"70196348","displayToPublicDate":"2018-04-03T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"On the sensitivity of annual streamflow to air temperature","docAbstract":"<p><span>Although interannual streamflow variability is primarily a result of precipitation variability, temperature also plays a role. The relative weakness of the temperature effect at the annual time scale hinders understanding, but may belie substantial importance on climatic time scales. Here we develop and evaluate a simple theory relating variations of streamflow and evapotranspiration (</span><i>E</i><span>) to those of precipitation (</span><i>P</i><span>) and temperature. The theory is based on extensions of the Budyko water‐balance hypothesis, the Priestley‐Taylor theory for potential evapotranspiration (<span>&nbsp;</span></span><img class=\"section_image\" src=\"https://wol-prod-cdn.literatumonline.com/cms/attachment/7d1c7e98-ad4b-4606-94ff-30efa78ad609/wrcr23194-math-0001.png\" alt=\"urn:x-wiley:00431397:media:wrcr23194:wrcr23194-math-0001\" data-mce-src=\"https://wol-prod-cdn.literatumonline.com/cms/attachment/7d1c7e98-ad4b-4606-94ff-30efa78ad609/wrcr23194-math-0001.png\"><span>), and a linear model of interannual basin storage. The theory implies that the temperature affects streamflow by modifying evapotranspiration through a Clausius‐Clapeyron‐like relation and through the sensitivity of net radiation to temperature. We apply and test (1) a previously introduced “strong” extension of the Budyko hypothesis, which requires that the function linking temporal variations of the evapotranspiration ratio (</span><i>E</i><span>/</span><i>P</i><span>) and the index of dryness (<span>&nbsp;</span></span><img class=\"section_image\" src=\"https://wol-prod-cdn.literatumonline.com/cms/attachment/b37d04ed-1f7f-4f14-86d6-d356a5da08b9/wrcr23194-math-0002.png\" alt=\"urn:x-wiley:00431397:media:wrcr23194:wrcr23194-math-0002\" data-mce-src=\"https://wol-prod-cdn.literatumonline.com/cms/attachment/b37d04ed-1f7f-4f14-86d6-d356a5da08b9/wrcr23194-math-0002.png\"><span>/</span><i>P</i><span>) at an annual time scale is identical to that linking interbasin variations of the corresponding long‐term means, and (2) a “weak” extension, which requires only that the annual evapotranspiration ratio depends uniquely on the annual index of dryness, and that the form of that dependence need not be known a priori nor be identical across basins. In application of the weak extension, the readily observed sensitivity of streamflow to precipitation contains crucial information about the sensitivity to potential evapotranspiration and, thence, to temperature. Implementation of the strong extension is problematic, whereas the weak extension appears to capture essential controls of the temperature effect efficiently.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017WR021970","usgsCitation":"Milly, P., Kam, J., and Dunne, K.A., 2018, On the sensitivity of annual streamflow to air temperature: Water Resources Research, v. 54, no. 4, p. 2624-2641, https://doi.org/10.1002/2017WR021970.","productDescription":"18 p.","startPage":"2624","endPage":"2641","ipdsId":"IP-091187","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":437966,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SJ1JVG","text":"USGS data release","linkHelpText":"Monthly Time Series of Streamflow, Precipitation, Air Temperature, and Net Radiation for 2,673 River Basins Worldwide, 1901-2013"},{"id":437965,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SN085V","text":"USGS data release","linkHelpText":"Annual Streamflow Sensitivity to Air Temperature Worldwide, 1901-2013"},{"id":353101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-02","publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf45","contributors":{"authors":[{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":732522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kam, Jonghun 0000-0002-7967-7705","orcid":"https://orcid.org/0000-0002-7967-7705","contributorId":203859,"corporation":false,"usgs":false,"family":"Kam","given":"Jonghun","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":732523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunne, Krista A. 0000-0002-1220-6140 kadunne@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-6140","contributorId":203816,"corporation":false,"usgs":true,"family":"Dunne","given":"Krista","email":"kadunne@usgs.gov","middleInitial":"A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":732524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194955,"text":"sir20185007 - 2018 - Data analysis considerations for pesticides determined by National Water Quality Laboratory schedule 2437","interactions":[],"lastModifiedDate":"2021-05-28T14:27:51.335925","indexId":"sir20185007","displayToPublicDate":"2018-04-02T14:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5007","title":"Data analysis considerations for pesticides determined by National Water Quality Laboratory schedule 2437","docAbstract":"In 2013, the U.S. Geological Survey National Water Quality Laboratory (NWQL) made a new method available for the analysis of pesticides in filtered water samples: laboratory schedule 2437. Schedule 2437 is an improvement on previous analytical methods because it determines the concentrations of 225 fungicides, herbicides, insecticides, and associated degradates in one method at similar or lower concentrations than previously available methods. Additionally, the pesticides included in schedule 2437 were strategically identified in a prioritization analysis that assessed likelihood of occurrence, prevalence of use, and potential toxicity.  When the NWQL reports pesticide concentrations for analytes in schedule 2437, the laboratory also provides supplemental information useful to data users for assessing method performance and understanding data quality. That supplemental information is discussed in this report, along with an initial analysis of analytical recovery of pesticides in water-quality samples analyzed by schedule 2437 during 2013–2015. A total of 523 field matrix spike samples and their paired environmental samples and 277 laboratory reagent spike samples were analyzed for this report (1,323 samples total). These samples were collected in the field as part of the U.S. Geological Survey National Water-Quality Assessment groundwater and surface-water studies and as part of the NWQL quality-control program. This report reviews how pesticide samples are processed by the NWQL, addresses how to obtain all the data necessary to interpret pesticide concentrations, explains the circumstances that result in a reporting level change or the occurrence of a raised reporting level, and describes the calculation and assessment of recovery. This report also discusses reasons why a data user might choose to exclude data in an interpretive analysis and outlines the approach used to identify the potential for decreased data quality in the assessment of method recovery. The information provided in this report is essential to understanding pesticide data determined by schedule 2437 and should be reviewed before interpretation of these data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185007","collaboration":"National Water Quality Program","usgsCitation":"Shoda, M.E., Nowell, L.H., Stone, W.W., Sandstrom, M.W., and Bexfield, L.M., 2018, Data analysis considerations for pesticides determined by National Water Quality Laboratory schedule 2437: U.S. Geological Survey Scientific Investigations Report 2018-5007, 458 p., https://doi.org/10.3133/sir20185007.","productDescription":"Report: vi, 458 p.; 2 Data Releases; Table","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-088656","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":352965,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5007/sir20185007.pdf","text":"Report","size":"7.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5007"},{"id":352964,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5007/coverthb.jpg"},{"id":352966,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5007/sir20185007_table4-v4.xlsx","text":"Table 4","size":"75.5 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Summary statistics for the recovery of schedule 2437 pesticides in lab reagent spikes, and groundwater and surface-water spike samples"},{"id":352967,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75H7DS8","text":"USGS data release","description":"USGS data release","linkHelpText":"National Water-Quality Assessment Project replicate surface water and groundwater pesticide data analyzed by the USGS National Water Quality Laboratory schedule 2437, water years 2013–15"},{"id":352968,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QZ28G4","text":"USGS data release","description":"USGS data release","linkHelpText":"Recovery data for surface water, groundwater and lab reagent samples analyzed by the USGS National Water Quality Laboratory schedule 2437, water years 2013–15"}],"contact":"<p>Program Coordinator, <a href=\"https://water.usgs.gov/nawqa/\" data-mce-href=\"https://water.usgs.gov/nawqa/\">National Water Quality Program</a><br>U.S. Geological Survey<br> 413 National Center<br> 12201 Sunrise Valley Drive<br> Reston, VA 20192</p>","tableOfContents":"<ul><li>Foreword</li><li>Abstract</li><li>Introduction</li><li>Data-Analysis Considerations</li><li>Schedule 2437 Pesticide Data Characterization</li><li>Further Analysis</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Supporting Tables and Figures</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2018-04-02","noUsgsAuthors":false,"publicationDate":"2018-04-02","publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf57","contributors":{"authors":[{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":726274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":726275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":726277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bexfield, Laura M. 0000-0002-1789-654X bexfield@usgs.gov","orcid":"https://orcid.org/0000-0002-1789-654X","contributorId":1273,"corporation":false,"usgs":true,"family":"Bexfield","given":"Laura","email":"bexfield@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726278,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198730,"text":"70198730 - 2018 - Evaluating micrometeorological estimates of groundwater discharge from Great Basin desert playas","interactions":[],"lastModifiedDate":"2018-11-14T09:52:43","indexId":"70198730","displayToPublicDate":"2018-04-02T11:33:10","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating micrometeorological estimates of groundwater discharge from Great Basin desert playas","docAbstract":"<p>Groundwater availability studies in the arid southwestern United States traditionally have assumed that groundwater discharge by evapotranspiration (ETg) from desert playas is a significant component of the groundwater budget. However, desert playa ETg rates are poorly constrained by Bowen Ratio energy budget (BREB) and eddy-covariance (EC) micrometeorological measurement approaches. Best attempts by previous studies to constrain ETg from desert playas have resulted in ETg rates that are within the measurement error of micrometeorological approaches. This study uses numerical models to further constrain desert playa ETg rates that are within the measurement error of BREB and EC approaches, and to evaluate the effect of hydraulic properties and salinity-based groundwater-density contrasts on desert playa ETg rates. Numerical models simulated ETg rates from desert playas in Death Valley, California and Dixie Valley, Nevada. Results indicate that actual ETg rates from desert playas are significantly below the uncertainty thresholds of BREB- and EC-based micrometeorological measurements. Discharge from desert playas likely contributes less than 2 percent of total groundwater discharge from Dixie and Death Valleys, which suggests discharge from desert playas also is negligible in other basins. Simulation results also show that ETg from desert playas primarily is limited by differences in hydraulic properties between alluvial fan and playa sediments and, to a lesser extent, by salinity-based groundwater density contrasts. <br><br></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12647","usgsCitation":"Jackson, T., Halford, K.J., Gardner, P.M., and Garcia, A., 2018, Evaluating micrometeorological estimates of groundwater discharge from Great Basin desert playas: Ground Water, v. 56, no. 6, p. 909-920, https://doi.org/10.1111/gwat.12647.","productDescription":"12 p.","startPage":"909","endPage":"920","ipdsId":"IP-067348","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":488351,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1429589","text":"External Repository"},{"id":356588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-26","publicationStatus":"PW","scienceBaseUri":"5b98a2e1e4b0702d0e843003","contributors":{"authors":[{"text":"Jackson, Tracie 0000-0001-8553-0323 tjackson@usgs.gov","orcid":"https://orcid.org/0000-0001-8553-0323","contributorId":193845,"corporation":false,"usgs":true,"family":"Jackson","given":"Tracie","email":"tjackson@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":742760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":742761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":742762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":208515,"corporation":false,"usgs":false,"family":"Garcia","given":"Amanda","email":"cgarcia@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":747519,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70200547,"text":"70200547 - 2018 - Presentation of the Dana Medal of the Mineralogical Society of America for 2017 to Thomas W. Sisson","interactions":[],"lastModifiedDate":"2018-10-24T11:32:50","indexId":"70200547","displayToPublicDate":"2018-04-02T11:32:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Presentation of the Dana Medal of the Mineralogical Society of America for 2017 to Thomas W. Sisson","docAbstract":"I have the pleasure of introducing Thomas W. Sisson, the Mineralogical Society of America Dana Medalist for 2017. Tom is known for his scientific rigor and landmark publications that have contributed to a diverse spectrum of fields closely tied to the mineralogical sciences. He is particularly recognized for his work on magma differentiation and the role of water in subduction-related magmatism. Beginning with his Ph.D. research with Tim Grove, Tom's early papers showcase difficult high-temperature experiments on hydrous basalt and magmatic processes recorded by the Sierra Nevada batholith. This landmark work was soon followed by ion microprobe measurements of dissolved water concentrations in melt inclusions from a range of arc basalts and by infrared spectrometric determinations of dissolved H2O and CO2 concentrations in unusually primitive arc basalt.","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2018-AP10345","usgsCitation":"Bacon, C.R., 2018, Presentation of the Dana Medal of the Mineralogical Society of America for 2017 to Thomas W. Sisson: American Mineralogist, v. 103, no. 4, p. 651-652, https://doi.org/10.2138/am-2018-AP10345.","productDescription":"2 p.","startPage":"651","endPage":"652","ipdsId":"IP-091475","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468860,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2138/am-2018-ap10345","text":"Publisher Index Page"},{"id":358737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a9e0e4b034bf6a7e54f0","contributors":{"authors":[{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":749480,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70248920,"text":"70248920 - 2018 - High frequency data exposes nonlinear seasonal controls on dissolved organic matter in a large watershed","interactions":[],"lastModifiedDate":"2023-09-26T12:10:32.30659","indexId":"70248920","displayToPublicDate":"2018-04-02T07:08:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"High frequency data exposes nonlinear seasonal controls on dissolved organic matter in a large watershed","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">We analyzed a five year, high frequency time series generated by an in situ fluorescent dissolved organic matter (fDOM) sensor installed near the Connecticut River’s mouth, investigating high temporal resolution DOM dynamics in a larger watershed and longer time series than previously addressed. We identified a gradient between large, saturating summer fDOM responses to discharge and linear, subdued responses during colder months. Seasonal response patterns were not consistent with multiple linear regression. Alternatively, we binned measurements across the yearly cycle using environmental indices, such as temperature, and applied moving regression, a novel approach which produced superior fits to calendar day binning. Spatially averaged watershed soil temperature at 10 cm was the best overall index of discharge-fDOM response. DOM fractionation showed fDOM was primarily a surrogate for hydrophobic organic acid (HPOA) concentrations. HPOAs were highly correlated with discharge, but hydrophilics (HPIs) were not. Discharge dependent DOM concentrations driven by the HPOA fraction may be controlled by soil temperature and water table position relative to organic and mineral soil horizons. HPI concentrations were correlated with average watershed soil temperature at 10 cm but were rather stationary throughout the year, further indicating a consistent groundwater source for this nonfluorescent DOM. We present a resolved subseasonal empirical model of DOM concentrations and fluxes, showing that riverine DOM flux and quality depend heavily on seasonal terrestrial carbon dynamics and hydrologic flow paths. High frequency monitoring reveals readily discernible patterns demonstrating that upland biogeochemical signals are maintained even at this large watershed scale.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.7b04579","usgsCitation":"Shultz, M., Pellerin, B., Aiken, G., Martin, J., and Raymond, P., 2018, High frequency data exposes nonlinear seasonal controls on dissolved organic matter in a large watershed: Environmental Science and Technology, v. 52, no. 10, p. 5644-5652, https://doi.org/10.1021/acs.est.7b04579.","productDescription":"9 p.","startPage":"5644","endPage":"5652","ipdsId":"IP-090811","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":421163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"10","noUsgsAuthors":false,"publicationDate":"2018-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shultz, Matthew","contributorId":330173,"corporation":false,"usgs":false,"family":"Shultz","given":"Matthew","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":884211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":884212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George 0000-0001-8454-0984","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":208803,"corporation":false,"usgs":true,"family":"Aiken","given":"George","affiliations":[],"preferred":true,"id":884213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Joseph W. 0000-0002-5995-9385","orcid":"https://orcid.org/0000-0002-5995-9385","contributorId":203256,"corporation":false,"usgs":true,"family":"Martin","given":"Joseph W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":884214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raymond, Peter","contributorId":330174,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":884215,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}